Goodness-of-fit indices for partial least squares path modeling

This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of the goodness-of-fit index (GoF) and the relative goodness-of-fit index (GoF rel ), we estimate PLS path models with simulated data, and contr...

Full description

Saved in:

Bibliographic Details
Published in	Computational statistics Vol. 28; no. 2; pp. 565 - 580
Main Authors	Henseler, Jörg, Sarstedt, Marko
Format	Journal Article
Language	English
Published	Berlin/Heidelberg Springer-Verlag 01.04.2013 Springer Nature B.V
Subjects	Algorithms Computation Computational mathematics Computer simulation Correlation analysis Customer satisfaction Economic Theory/Quantitative Economics/Mathematical Methods Estimates Least squares method Mathematical analysis Mathematical models Mathematics and Statistics Original Paper Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Software Statistics Structural equation modeling Studies Variables C39 Goodness-of-fit index (GoF) Partial least squares path modeling (PLS)
Online Access	Get full text

Cover

Loading…

Abstract	This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of the goodness-of-fit index (GoF) and the relative goodness-of-fit index (GoF rel ), we estimate PLS path models with simulated data, and contrast their values with fit indices commonly used in covariance-based structural equation modeling. The simulation shows that the GoF and the GoF rel are not suitable for model validation. However, the GoF can be useful to assess how well a PLS path model can explain different sets of data.
AbstractList	This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of the goodness-of-fit index (GoF) and the relative goodness-of-fit index (GoF^sub rel^), we estimate PLS path models with simulated data, and contrast their values with fit indices commonly used in covariance-based structural equation modeling. The simulation shows that the GoF and the GoF^sub rel^ are not suitable for model validation. However, the GoF can be useful to assess how well a PLS path model can explain different sets of data. [PUBLICATION ABSTRACT] This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of the goodness-of-fit index (GoF) and the relative goodness-of-fit index (GoF rel ), we estimate PLS path models with simulated data, and contrast their values with fit indices commonly used in covariance-based structural equation modeling. The simulation shows that the GoF and the GoF rel are not suitable for model validation. However, the GoF can be useful to assess how well a PLS path model can explain different sets of data. This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of the goodness-of-fit index (GoF) and the relative goodness-of-fit index (GoF sub(rel)), we estimate PLS path models with simulated data, and contrast their values with fit indices commonly used in covariance-based structural equation modeling. The simulation shows that the GoF and the GoF sub(rel) are not suitable for model validation. However, the GoF can be useful to assess how well a PLS path model can explain different sets of data.
Author	Henseler, Jörg Sarstedt, Marko
Author_xml	– sequence: 1 givenname: Jörg surname: Henseler fullname: Henseler, Jörg organization: Institute for Management Research, Radboud University Nijmegen – sequence: 2 givenname: Marko surname: Sarstedt fullname: Sarstedt, Marko email: sarstedt@bwl.lmu.de organization: Institute for Market-based Management, Munich School of Management, Ludwig-Maximilians-Universität München
BookMark	eNp9kE1LAzEQhoNUsFZ_gLcFL16iM9ntZnMSKVqFghc9L2M20cg2aZP04L83Ug8i6GkO8zzz8R6ziQ_eMHaGcIkA8ioBYAccUHCoUXI8YFNsseaqnXcTNgXV1LyBVhyx45TeAYSQAqfsehnC4E1KPFhuXa6cH5w2qbIhVhuK2dFYjYZSrtJ2R7F0NpTfqnUYzOj86wk7tDQmc_pdZ-z57vZpcc9Xj8uHxc2K61qJzIe6G4xQtpGkQeBcEWqU88F22BKqdoAXqUggtEqQ0DSIF2oJbBE6mmtbz9jFfu4mhu3OpNyvXdJmHMmbsEs91k35UKHsCnr-C30Pu-jLdYVC1SjZQVso3FM6hpSisf0mujXFjx6h_4q030fal0j7r0iLPGPyl6NdpuyCz5Hc-K8p9mYqW_yriT9u-lP6BIq4i0o
CitedBy_id	crossref_primary_10_1016_j_scitotenv_2024_175009 crossref_primary_10_1007_s10639_023_12171_z crossref_primary_10_1016_j_jbusres_2016_03_051 crossref_primary_10_1371_journal_pone_0305527 crossref_primary_10_1007_s10668_024_05391_x crossref_primary_10_1016_j_cities_2025_105713 crossref_primary_10_1007_s11135_019_00941_2 crossref_primary_10_3390_ijerph17145244 crossref_primary_10_1080_17452007_2023_2267559 crossref_primary_10_1108_JICES_07_2021_0076 crossref_primary_10_1016_j_ifset_2024_103776 crossref_primary_10_1016_j_paid_2015_07_019 crossref_primary_10_1108_IJOA_12_2021_3066 crossref_primary_10_3390_su10040942 crossref_primary_10_1016_j_ecoenv_2022_114179 crossref_primary_10_1108_CBTH_02_2023_0009 crossref_primary_10_1016_j_ijhm_2025_104086 crossref_primary_10_3389_fpsyg_2022_1009792 crossref_primary_10_29252_jha_21_74_19 crossref_primary_10_1080_08870446_2014_913043 crossref_primary_10_1108_JHTT_11_2020_0286 crossref_primary_10_15735_kls_2014_22_4_007 crossref_primary_10_29333_ejmste_112247 crossref_primary_10_3390_bs12100372 crossref_primary_10_1016_j_jfbs_2014_01_002 crossref_primary_10_14697_jkase_2016_36_1_0125 crossref_primary_10_1016_j_jenvp_2013_11_006 crossref_primary_10_1080_02642069_2018_1428955 crossref_primary_10_24857_rgsa_v18n7_100 crossref_primary_10_1108_SAJM_12_2021_0140 crossref_primary_10_1016_j_jbusres_2016_03_054 crossref_primary_10_1177_02666669211048486 crossref_primary_10_3390_su12031044 crossref_primary_10_1016_j_jbusres_2016_03_053 crossref_primary_10_37625_abr_24_1_90_113 crossref_primary_10_1108_PR_01_2020_0026 crossref_primary_10_1016_j_jbusres_2016_03_057 crossref_primary_10_1016_j_ijgeop_2022_11_002 crossref_primary_10_1080_09537287_2024_2327344 crossref_primary_10_1080_19420676_2023_2212665 crossref_primary_10_1016_j_ijinfomgt_2021_102358 crossref_primary_10_1108_JIMA_01_2019_0006 crossref_primary_10_1016_j_jwb_2018_09_003 crossref_primary_10_1016_j_chb_2016_09_054 crossref_primary_10_1080_1528008X_2024_2313194 crossref_primary_10_1080_10899995_2023_2200877 crossref_primary_10_1016_j_jenvman_2024_120869 crossref_primary_10_1177_10567879241302832 crossref_primary_10_1016_j_jbusres_2019_01_070 crossref_primary_10_1016_j_rausp_2017_05_010 crossref_primary_10_1108_EJM_04_2020_0319 crossref_primary_10_2478_mmcks_2019_0009 crossref_primary_10_1080_21606544_2024_2317186 crossref_primary_10_1007_s10668_020_01220_z crossref_primary_10_1007_s11356_023_26217_9 crossref_primary_10_18510_hssr_2020_8522 crossref_primary_10_5861_ijrse_2025_25821 crossref_primary_10_1016_j_trip_2023_100908 crossref_primary_10_1057_s41599_024_02718_x crossref_primary_10_3390_su13041998 crossref_primary_10_1002_jcop_23156 crossref_primary_10_3390_su15118846 crossref_primary_10_1016_j_jclepro_2019_04_163 crossref_primary_10_1108_MD_04_2023_0664 crossref_primary_10_1007_s11356_022_21576_1 crossref_primary_10_1080_09588221_2021_1976210 crossref_primary_10_3390_electronics11182916 crossref_primary_10_1016_j_apmrv_2016_01_001 crossref_primary_10_1108_IJPHM_08_2021_0085 crossref_primary_10_3390_ijfs9010009 crossref_primary_10_1108_K_09_2019_0579 crossref_primary_10_1080_1097198X_2023_2266970 crossref_primary_10_1108_MD_03_2017_0224 crossref_primary_10_24818_EA_2024_66_421 crossref_primary_10_1016_j_lrp_2012_10_003 crossref_primary_10_3389_fenvs_2023_1291688 crossref_primary_10_1108_SRJ_10_2022_0461 crossref_primary_10_1371_journal_pone_0166445 crossref_primary_10_1108_ECAM_06_2021_0476 crossref_primary_10_1515_apjri_2024_0011 crossref_primary_10_1108_IJLMA_05_2017_0110 crossref_primary_10_1108_TR_02_2019_0039 crossref_primary_10_1016_j_fsi_2020_01_063 crossref_primary_10_1007_s11356_023_29930_7 crossref_primary_10_3390_wevj15110499 crossref_primary_10_1002_ajcp_12589 crossref_primary_10_1108_JABS_04_2023_0160 crossref_primary_10_1016_j_jclepro_2015_09_128 crossref_primary_10_1080_23311975_2024_2328317 crossref_primary_10_1177_14673584241284980 crossref_primary_10_1177_2158244020922840 crossref_primary_10_1016_j_ijpe_2016_09_008 crossref_primary_10_1080_15555240_2024_2323636 crossref_primary_10_1108_EJM_02_2021_0099 crossref_primary_10_1002_pa_2910 crossref_primary_10_1007_s11356_019_06411_4 crossref_primary_10_3390_ijerph191811563 crossref_primary_10_1108_EBR_10_2013_0128 crossref_primary_10_1016_j_iatssr_2020_09_005 crossref_primary_10_2478_vjes_2024_0005 crossref_primary_10_1108_JKM_04_2022_0273 crossref_primary_10_1016_j_clwas_2024_100146 crossref_primary_10_1108_IJWBR_06_2020_0031 crossref_primary_10_1108_JMTM_09_2023_0375 crossref_primary_10_1108_TQM_06_2020_0133 crossref_primary_10_1016_j_rcradv_2023_200147 crossref_primary_10_3389_fenrg_2021_824318 crossref_primary_10_1007_s10729_017_9393_7 crossref_primary_10_1108_EBR_03_2022_0061 crossref_primary_10_3390_su13179947 crossref_primary_10_1007_s11146_020_09805_1 crossref_primary_10_1108_OIR_12_2014_0314 crossref_primary_10_1061__ASCE_UP_1943_5444_0000906 crossref_primary_10_3390_systems12010028 crossref_primary_10_5897_IJSA2022_0954 crossref_primary_10_1080_02102412_2019_1608705 crossref_primary_10_1108_ET_04_2021_0152 crossref_primary_10_3390_su16104075 crossref_primary_10_1002_mar_21487 crossref_primary_10_3390_psycholint7010013 crossref_primary_10_1108_IMDS_01_2015_0017 crossref_primary_10_1108_K_04_2019_0273 crossref_primary_10_1016_j_ecoenv_2023_114665 crossref_primary_10_1111_dsji_12144 crossref_primary_10_1371_journal_pone_0247320 crossref_primary_10_1007_s10479_022_05157_6 crossref_primary_10_1016_j_im_2018_09_001 crossref_primary_10_1016_j_resconrec_2013_12_009 crossref_primary_10_1177_23197145231190537 crossref_primary_10_1108_FS_01_2023_0014 crossref_primary_10_1186_s40359_024_01926_z crossref_primary_10_15240_tul_001_2022_2_002 crossref_primary_10_1108_IJGE_07_2022_0116 crossref_primary_10_1108_IES_03_2023_0012 crossref_primary_10_1016_j_jobe_2024_110891 crossref_primary_10_1142_S1363919619500075 crossref_primary_10_1108_JKM_05_2023_0389 crossref_primary_10_1108_JSTPM_05_2024_0160 crossref_primary_10_1080_02508281_2023_2190280 crossref_primary_10_1016_j_tourman_2022_104713 crossref_primary_10_1111_grow_12483 crossref_primary_10_1108_ECAM_03_2024_0367 crossref_primary_10_1680_jmuen_22_00009 crossref_primary_10_3390_su15064775 crossref_primary_10_1108_SCM_12_2019_0432 crossref_primary_10_24310_ejfbejfb_v8i2_5567 crossref_primary_10_1002_ps_6326 crossref_primary_10_18311_sdmimd_2024_32819 crossref_primary_10_1016_j_resourpol_2023_103328 crossref_primary_10_1108_ECAM_10_2019_0573 crossref_primary_10_3390_admsci12040144 crossref_primary_10_1108_K_02_2024_0483 crossref_primary_10_1016_j_procs_2021_12_138 crossref_primary_10_1016_j_eap_2022_08_006 crossref_primary_10_4018_JGIM_2018100106 crossref_primary_10_1016_j_chb_2024_108461 crossref_primary_10_12973_eu_jer_12_1_59 crossref_primary_10_1080_10447318_2024_2404503 crossref_primary_10_4018_IJTHI_2018010104 crossref_primary_10_7717_peerj_cs_876 crossref_primary_10_3390_su15064781 crossref_primary_10_1108_APJML_06_2021_0447 crossref_primary_10_1016_j_heliyon_2024_e29472 crossref_primary_10_1108_IJSMS_10_2024_0282 crossref_primary_10_1177_02685809221095912 crossref_primary_10_1016_j_procs_2021_12_129 crossref_primary_10_1108_IJLM_12_2020_0485 crossref_primary_10_1186_s40064_016_3184_3 crossref_primary_10_4162_nrp_2016_10_3_352 crossref_primary_10_1016_j_indmarman_2023_03_010 crossref_primary_10_1080_10999922_2022_2092976 crossref_primary_10_21833_ijaas_2023_09_002 crossref_primary_10_1007_s12525_021_00496_x crossref_primary_10_3390_admsci13040109 crossref_primary_10_1108_JEEE_07_2019_0099 crossref_primary_10_1007_s11356_023_29353_4 crossref_primary_10_1080_09537325_2022_2071692 crossref_primary_10_1016_j_chiabu_2022_105696 crossref_primary_10_1007_s41449_021_00277_4 crossref_primary_10_1016_j_arabjc_2023_105399 crossref_primary_10_1108_JSBED_04_2024_0224 crossref_primary_10_1590_s0034_759020220603 crossref_primary_10_3390_ijerph20054182 crossref_primary_10_1177_15245004211025068 crossref_primary_10_1016_j_jretconser_2021_102493 crossref_primary_10_1007_s10826_021_02132_w crossref_primary_10_1016_j_wasman_2024_06_007 crossref_primary_10_1111_jonm_12180 crossref_primary_10_1212_WNL_0000000000011155 crossref_primary_10_3389_fpsyg_2020_570085 crossref_primary_10_1016_j_scitotenv_2020_141709 crossref_primary_10_3390_ijerph15050967 crossref_primary_10_3390_foods11121784 crossref_primary_10_24136_eq_2022_027 crossref_primary_10_1080_10942912_2022_2083638 crossref_primary_10_1177_10434631211033660 crossref_primary_10_3390_su16020710 crossref_primary_10_1038_srep16804 crossref_primary_10_1108_JEDT_07_2023_0304 crossref_primary_10_1007_s43069_023_00198_4 crossref_primary_10_1080_20008066_2024_2378642 crossref_primary_10_1002_csr_2666 crossref_primary_10_1108_ER_05_2023_0249 crossref_primary_10_1080_15332667_2023_2191245 crossref_primary_10_1007_s11365_023_00937_3 crossref_primary_10_3846_jbem_2022_16959 crossref_primary_10_52547_jech_8_3_189 crossref_primary_10_1080_02650487_2017_1347366 crossref_primary_10_1002_asi_24192 crossref_primary_10_1186_s40497_018_0112_8 crossref_primary_10_3389_fpubh_2024_1376534 crossref_primary_10_3390_su14020656 crossref_primary_10_1007_s10551_018_4075_z crossref_primary_10_1007_s11747_014_0403_8 crossref_primary_10_1016_j_ijhm_2016_09_013 crossref_primary_10_1007_s12144_022_04119_2 crossref_primary_10_1016_j_heliyon_2024_e35743 crossref_primary_10_1016_j_tele_2018_09_004 crossref_primary_10_1177_0258042X221137438 crossref_primary_10_1007_s10668_022_02326_2 crossref_primary_10_2139_ssrn_3990735 crossref_primary_10_1186_s13731_024_00443_y crossref_primary_10_1027_1866_5888_a000165 crossref_primary_10_2139_ssrn_3079680 crossref_primary_10_1016_j_neucom_2014_09_014 crossref_primary_10_3390_su132111569 crossref_primary_10_1016_j_apsoil_2020_103796 crossref_primary_10_1080_23311975_2017_1351144 crossref_primary_10_3389_fcomm_2024_1470327 crossref_primary_10_1080_10496491_2025_2460181 crossref_primary_10_3390_su142013153 crossref_primary_10_1108_IJPHM_10_2020_0089 crossref_primary_10_3389_fpls_2021_777357 crossref_primary_10_1016_j_jengtecman_2018_04_005 crossref_primary_10_3390_su11123241 crossref_primary_10_1016_j_actpsy_2024_104644 crossref_primary_10_1371_journal_pone_0301178 crossref_primary_10_1108_IJPPM_12_2019_0597 crossref_primary_10_3846_jbem_2024_22469 crossref_primary_10_1108_ECAM_01_2022_0039 crossref_primary_10_1002_mar_21640 crossref_primary_10_1016_j_cej_2023_144868 crossref_primary_10_1016_j_jengtecman_2021_101660 crossref_primary_10_1002_ldr_3509 crossref_primary_10_1016_j_jretconser_2019_04_022 crossref_primary_10_37898_spc_2021_6_1_133 crossref_primary_10_3390_jtaer19020042 crossref_primary_10_1007_s12369_019_00611_1 crossref_primary_10_1177_0972150918794976 crossref_primary_10_1108_HE_06_2017_0033 crossref_primary_10_1080_08841241_2022_2139791 crossref_primary_10_3390_su142013388 crossref_primary_10_1080_23311975_2025_2466812 crossref_primary_10_3389_fpsyg_2021_814087 crossref_primary_10_1108_IJRDM_11_2013_0208 crossref_primary_10_1590_s0034_759020220603x crossref_primary_10_3389_fpsyg_2022_745019 crossref_primary_10_3390_su151914227 crossref_primary_10_1177_14604582211021470 crossref_primary_10_1016_j_accinf_2019_100445 crossref_primary_10_1108_JEIM_07_2023_0354 crossref_primary_10_1007_s11024_021_09448_3 crossref_primary_10_1002_hrm_21888 crossref_primary_10_1002_cjas_1547 crossref_primary_10_1016_j_chb_2023_107912 crossref_primary_10_3390_buildings13092216 crossref_primary_10_1016_j_habitatint_2015_08_010 crossref_primary_10_3389_fenvs_2022_966474 crossref_primary_10_4018_JGIM_2019040104 crossref_primary_10_1016_j_jclepro_2021_128945 crossref_primary_10_1016_j_agrformet_2023_109786 crossref_primary_10_19148_ijhbs_482373 crossref_primary_10_1108_IJOA_04_2023_3742 crossref_primary_10_1108_EJIM_07_2022_0382 crossref_primary_10_1111_1467_8551_12348 crossref_primary_10_1080_21645698_2019_1680241 crossref_primary_10_1016_j_lrp_2014_02_007 crossref_primary_10_1016_j_foreco_2024_122191 crossref_primary_10_7717_peerj_cs_1021 crossref_primary_10_1016_j_catena_2024_107889 crossref_primary_10_1108_EBR_10_2023_0317 crossref_primary_10_1177_07356331221121284 crossref_primary_10_1108_MSAR_02_2022_0010 crossref_primary_10_1016_j_jclepro_2017_12_053 crossref_primary_10_1007_s10479_023_05254_0 crossref_primary_10_1108_IJHMA_07_2015_0033 crossref_primary_10_1016_j_tourman_2016_06_014 crossref_primary_10_1680_jtran_20_00128 crossref_primary_10_3390_su11216156 crossref_primary_10_1080_23303131_2023_2289562 crossref_primary_10_3390_su151411462 crossref_primary_10_1016_j_actpsy_2023_103856 crossref_primary_10_1080_0960085X_2022_2119172 crossref_primary_10_2478_orga_2022_0015 crossref_primary_10_1016_j_tbs_2025_100995 crossref_primary_10_1080_20932685_2018_1550007 crossref_primary_10_1142_S1363919620500814 crossref_primary_10_4018_IRMJ_2017100104 crossref_primary_10_17706_ijeeee_2019_9_4_391_399 crossref_primary_10_1016_j_wasman_2021_06_032 crossref_primary_10_1108_K_04_2021_0272 crossref_primary_10_1002_nop2_676 crossref_primary_10_1016_j_jretconser_2015_11_004 crossref_primary_10_1139_er_2020_0059 crossref_primary_10_1016_j_resourpol_2023_103998 crossref_primary_10_1177_00332941231183338 crossref_primary_10_1016_j_jhazmat_2024_135408 crossref_primary_10_1108_SAJM_01_2023_0001 crossref_primary_10_1007_s10750_019_04044_9 crossref_primary_10_1016_j_chiabu_2021_105009 crossref_primary_10_1080_15623599_2020_1742854 crossref_primary_10_1016_j_jhlste_2018_08_001 crossref_primary_10_1108_IMDS_10_2019_0529 crossref_primary_10_3389_frsc_2022_700090 crossref_primary_10_1016_j_ijhm_2018_05_004 crossref_primary_10_3390_systems13020134 crossref_primary_10_1142_S1084946722500182 crossref_primary_10_1108_AGJSR_09_2022_0168 crossref_primary_10_1111_1468_5973_12455 crossref_primary_10_1007_s10668_020_00808_9 crossref_primary_10_1002_csr_2377 crossref_primary_10_1016_j_jhtm_2020_02_007 crossref_primary_10_5897_JLCR2022_0347 crossref_primary_10_1108_BFJ_05_2021_0536 crossref_primary_10_1108_IMDS_02_2019_0090 crossref_primary_10_1136_bmjopen_2021_054730 crossref_primary_10_3390_bs14010022 crossref_primary_10_1016_j_techfore_2020_120196 crossref_primary_10_1044_2024_JSLHR_22_00140 crossref_primary_10_1080_10447318_2024_2440633 crossref_primary_10_1080_09537287_2019_1647365 crossref_primary_10_1016_j_chb_2021_107154 crossref_primary_10_1080_16184742_2022_2099921 crossref_primary_10_1016_j_smr_2017_07_010 crossref_primary_10_1111_deci_12445 crossref_primary_10_1016_j_procs_2015_12_151 crossref_primary_10_3390_educsci14101090 crossref_primary_10_1016_j_chb_2019_08_004 crossref_primary_10_5253_arde_v108i2_a8 crossref_primary_10_3389_fpsyg_2022_951249 crossref_primary_10_1108_JKM_08_2018_0478 crossref_primary_10_3846_jbem_2023_20232 crossref_primary_10_1021_acs_jnatprod_2c00518 crossref_primary_10_55908_sdgs_v11i12_2236 crossref_primary_10_1108_IJILT_03_2019_0040 crossref_primary_10_1080_23311975_2021_1969766 crossref_primary_10_1016_j_jclepro_2021_128536 crossref_primary_10_3389_fpsyg_2020_00489 crossref_primary_10_1108_JMTM_05_2023_0171 crossref_primary_10_1016_j_joitmc_2023_01_002 crossref_primary_10_1080_15256480_2020_1727811 crossref_primary_10_1080_17520843_2020_1806093 crossref_primary_10_3390_su15043449 crossref_primary_10_1108_JFRA_12_2021_0434 crossref_primary_10_1108_MABR_09_2018_0034 crossref_primary_10_1108_IJPPM_08_2022_0393 crossref_primary_10_1260_1747_9541_9_4_561 crossref_primary_10_3389_fpubh_2022_804390 crossref_primary_10_1108_TECHS_01_2022_0004 crossref_primary_10_1177_2158244021999058 crossref_primary_10_1002_asi_24933 crossref_primary_10_1080_13032917_2017_1319868 crossref_primary_10_1016_j_procs_2021_12_155 crossref_primary_10_3390_su16072651 crossref_primary_10_1108_INTR_03_2019_0112 crossref_primary_10_4236_tel_2018_813176 crossref_primary_10_1007_s13520_023_00178_1 crossref_primary_10_1108_JFM_08_2017_0041 crossref_primary_10_1108_MRJIAM_06_2024_1562 crossref_primary_10_1108_IJCHM_11_2017_0753 crossref_primary_10_1108_IJPPM_07_2019_0349 crossref_primary_10_1080_1331677X_2020_1838313 crossref_primary_10_1177_08862605211043588 crossref_primary_10_3390_buildings12101606 crossref_primary_10_1108_REGE_06_2018_0077 crossref_primary_10_1016_j_trf_2018_08_015 crossref_primary_10_1016_j_ecolind_2025_113158 crossref_primary_10_1108_PR_07_2021_0548 crossref_primary_10_1080_02642069_2018_1495710 crossref_primary_10_3389_fmicb_2023_1175265 crossref_primary_10_3390_buildings12070941 crossref_primary_10_1142_S1363919622500281 crossref_primary_10_1002_nvsm_1491 crossref_primary_10_1108_TLO_06_2019_0094 crossref_primary_10_1016_j_tele_2019_101318 crossref_primary_10_1057_s41599_024_02956_z crossref_primary_10_1007_s10639_023_11879_2 crossref_primary_10_1007_s40692_023_00307_6 crossref_primary_10_1016_j_ijinfomgt_2021_102413 crossref_primary_10_3390_su11061575 crossref_primary_10_1016_j_ijhm_2018_06_001 crossref_primary_10_1080_09537325_2021_1950674 crossref_primary_10_1108_ECAM_03_2023_0195 crossref_primary_10_1016_j_eswa_2018_04_013 crossref_primary_10_1108_JEEE_03_2021_0119 crossref_primary_10_1108_IJRDM_09_2020_0344 crossref_primary_10_2478_ata_2024_0012 crossref_primary_10_1186_s40561_020_00118_7 crossref_primary_10_1108_JM2_08_2014_0069 crossref_primary_10_3390_ijerph20032244 crossref_primary_10_1007_s11135_016_0401_7 crossref_primary_10_1016_j_scs_2023_104745 crossref_primary_10_1002_pa_1918 crossref_primary_10_1108_VJIKMS_08_2016_0042 crossref_primary_10_1057_s41599_025_04379_w crossref_primary_10_1108_IMDS_09_2015_0382 crossref_primary_10_3390_gases2020003 crossref_primary_10_1016_j_jdmm_2019_02_005 crossref_primary_10_1016_j_techsoc_2024_102629 crossref_primary_10_1108_IJCHM_11_2016_0633 crossref_primary_10_1016_j_pursup_2015_04_005 crossref_primary_10_1108_JADEE_10_2021_0256 crossref_primary_10_3390_su14159384 crossref_primary_10_1016_j_resourpol_2022_102982 crossref_primary_10_52547_johepal_3_2_85 crossref_primary_10_1177_21582440241257357 crossref_primary_10_3390_ani14152229 crossref_primary_10_1016_j_foodqual_2022_104561 crossref_primary_10_1108_JFM_12_2020_0099 crossref_primary_10_1108_APJBA_11_2020_0428 crossref_primary_10_1016_j_rausp_2016_12_003 crossref_primary_10_1108_IJRDM_10_2022_0417 crossref_primary_10_17163_ret_n28_2024_01 crossref_primary_10_3390_su141912827 crossref_primary_10_1007_s10668_020_01040_1 crossref_primary_10_1007_s11135_016_0436_9 crossref_primary_10_18510_hssr_2021_9376 crossref_primary_10_1016_j_jrurstud_2024_103546 crossref_primary_10_1177_21582440241266063 crossref_primary_10_1016_j_jretconser_2023_103672 crossref_primary_10_3390_foods12112193 crossref_primary_10_1007_s10037_023_00182_9 crossref_primary_10_1007_s41055_024_00150_0 crossref_primary_10_1016_j_apmrv_2023_06_004 crossref_primary_10_1016_j_jbusres_2018_01_033 crossref_primary_10_1108_JFM_07_2023_0077 crossref_primary_10_3727_154427221X16245632411944 crossref_primary_10_1016_j_ijproman_2015_08_003 crossref_primary_10_1108_JIEB_09_2016_0034 crossref_primary_10_1016_j_scs_2017_11_022 crossref_primary_10_1016_j_clwas_2024_100164 crossref_primary_10_1108_JMD_01_2023_0028 crossref_primary_10_1108_JIC_09_2018_0168 crossref_primary_10_1108_JIC_10_2023_0233 crossref_primary_10_1016_j_ppees_2015_01_002 crossref_primary_10_3390_su15043246 crossref_primary_10_1016_j_tourman_2018_11_001 crossref_primary_10_2174_0118743501332789240906115511 crossref_primary_10_24857_rgsa_v18n9_151 crossref_primary_10_22434_IFAMR2019_0200 crossref_primary_10_1007_s13198_023_02013_z crossref_primary_10_1016_j_indmarman_2022_12_014 crossref_primary_10_1111_bjet_12890 crossref_primary_10_1108_K_11_2020_0828 crossref_primary_10_18311_jbt_2024_41945 crossref_primary_10_1016_j_jclepro_2021_128112 crossref_primary_10_1080_15332667_2018_1492322 crossref_primary_10_1080_21568235_2019_1694423 crossref_primary_10_1108_IMDS_07_2016_0286 crossref_primary_10_1111_geb_13199 crossref_primary_10_3390_coatings12111770 crossref_primary_10_3390_ijerph20054630 crossref_primary_10_1108_EBR_09_2015_0095 crossref_primary_10_1057_s41599_024_03511_6 crossref_primary_10_1016_j_jretconser_2018_06_002 crossref_primary_10_5812_ijhrba_36301 crossref_primary_10_1108_JKM_02_2022_0133 crossref_primary_10_1016_j_heliyon_2022_e09676 crossref_primary_10_2139_ssrn_3353125 crossref_primary_10_1080_1528008X_2022_2073938 crossref_primary_10_3390_app10228098 crossref_primary_10_3390_su11010175 crossref_primary_10_1108_SEJ_10_2023_0135 crossref_primary_10_1016_j_ijhydene_2018_10_184 crossref_primary_10_1108_K_11_2020_0804 crossref_primary_10_1016_j_heliyon_2023_e17561 crossref_primary_10_1177_21582440231175370 crossref_primary_10_24156_jikk_2024_17_2_146 crossref_primary_10_1007_s13132_023_01172_5 crossref_primary_10_1016_j_chbr_2025_100593 crossref_primary_10_4018_IJGCMS_290305 crossref_primary_10_1080_13683500_2023_2223911 crossref_primary_10_1016_j_ijinfomgt_2014_11_004 crossref_primary_10_3390_ijerph19031865 crossref_primary_10_3390_admsci15020033 crossref_primary_10_1080_08961530_2019_1619115 crossref_primary_10_1155_2021_8884594 crossref_primary_10_1016_j_heliyon_2024_e35039 crossref_primary_10_1016_j_rtbm_2024_101148 crossref_primary_10_1080_21645698_2020_1848230 crossref_primary_10_3389_fbuil_2023_1232195 crossref_primary_10_1080_00207543_2019_1693660 crossref_primary_10_1108_SAJBS_04_2018_0037 crossref_primary_10_1080_13683500_2022_2101436 crossref_primary_10_1108_JFMPC_05_2016_0021 crossref_primary_10_4236_ojbm_2023_113060 crossref_primary_10_1371_journal_pone_0261573 crossref_primary_10_3389_fpsyg_2022_961464 crossref_primary_10_1186_s40902_017_0114_4 crossref_primary_10_1186_s41239_019_0147_0 crossref_primary_10_1109_TCSS_2023_3297747 crossref_primary_10_1111_gcb_17160 crossref_primary_10_3390_joitmc7010010 crossref_primary_10_1093_heapro_daaa099 crossref_primary_10_1108_IMDS_07_2015_0302 crossref_primary_10_1080_23311975_2023_2256953 crossref_primary_10_1016_j_jenvp_2017_02_006 crossref_primary_10_3389_fpls_2022_1058092 crossref_primary_10_1038_s41598_023_42113_1 crossref_primary_10_4102_jef_v13i1_471 crossref_primary_10_1108_ITP_07_2017_0213 crossref_primary_10_1016_j_annals_2014_06_002 crossref_primary_10_1080_1051712X_2023_2214543 crossref_primary_10_56712_latam_v4i3_1100 crossref_primary_10_1080_13683500_2016_1200539 crossref_primary_10_1108_IMDS_07_2022_0418 crossref_primary_10_1108_JPBM_04_2016_1148 crossref_primary_10_1108_LODJ_06_2023_0301 crossref_primary_10_3390_su8121237 crossref_primary_10_3390_su13041871 crossref_primary_10_3390_socsci12030124 crossref_primary_10_3389_feduc_2024_1507106 crossref_primary_10_7717_peerj_15104 crossref_primary_10_1108_EJMBE_11_2017_0048 crossref_primary_10_1002_mar_21143 crossref_primary_10_1016_j_jnc_2024_126768 crossref_primary_10_1177_21582440211018686 crossref_primary_10_1016_j_compchemeng_2020_106841 crossref_primary_10_1108_JSBED_08_2023_0387 crossref_primary_10_1109_ACCESS_2019_2960083 crossref_primary_10_1590_1234_56781806_94790560408 crossref_primary_10_1007_s10668_023_04255_0 crossref_primary_10_1080_15332667_2019_1688599 crossref_primary_10_1371_journal_pone_0283997 crossref_primary_10_3389_fpsyg_2024_1371343 crossref_primary_10_3390_admsci13100217 crossref_primary_10_1002_mpr_1497 crossref_primary_10_1016_j_ijme_2022_100628 crossref_primary_10_1016_j_jengtecman_2017_03_001 crossref_primary_10_1177_1094428112474693 crossref_primary_10_1108_EJMBE_03_2024_0081 crossref_primary_10_1108_JIMA_11_2014_0071 crossref_primary_10_1016_j_resourpol_2024_104874 crossref_primary_10_1108_JMTM_03_2024_0112 crossref_primary_10_1080_02664763_2022_2101044 crossref_primary_10_1177_20552076241279199 crossref_primary_10_1007_s00291_013_0320_0 crossref_primary_10_1109_ACCESS_2021_3069990 crossref_primary_10_1016_j_heliyon_2023_e15507 crossref_primary_10_3390_su142114118 crossref_primary_10_47909_ijsmc_1354 crossref_primary_10_1108_JSBED_12_2017_0386 crossref_primary_10_2478_eb_2020_0015 crossref_primary_10_3390_buildings11100437 crossref_primary_10_1080_1070289X_2024_2444105 crossref_primary_10_1111_joca_12368 crossref_primary_10_1080_19368623_2015_1019172 crossref_primary_10_1108_JIBR_03_2020_0067 crossref_primary_10_1108_TQM_11_2023_0354 crossref_primary_10_1080_1553118X_2023_2231922 crossref_primary_10_1108_JHTT_09_2017_0088 crossref_primary_10_1371_journal_pone_0303675 crossref_primary_10_1016_j_landusepol_2020_105024 crossref_primary_10_3390_su141912552 crossref_primary_10_21511_ee_14_2__2023_03 crossref_primary_10_1016_j_joitmc_2024_100426 crossref_primary_10_1016_j_jretconser_2016_02_005 crossref_primary_10_1016_j_scitotenv_2024_175591 crossref_primary_10_1061__ASCE_ME_1943_5479_0000553 crossref_primary_10_1108_IJAIM_08_2024_0282 crossref_primary_10_3389_fpsyg_2024_1268549 crossref_primary_10_2478_bsrj_2022_0004 crossref_primary_10_1016_j_jobe_2022_105489 crossref_primary_10_1108_JARHE_01_2023_0012 crossref_primary_10_1016_j_heliyon_2023_e14420 crossref_primary_10_1086_721252 crossref_primary_10_26735_AOED2675 crossref_primary_10_35741_issn_0258_2724_59_3_21 crossref_primary_10_1007_s11365_023_00910_0 crossref_primary_10_1057_bm_2014_26 crossref_primary_10_1108_MD_09_2023_1722 crossref_primary_10_1080_0144929X_2019_1589576 crossref_primary_10_3390_su13084548 crossref_primary_10_1016_j_joitmc_2024_100208 crossref_primary_10_1016_j_chemosphere_2021_132734 crossref_primary_10_1108_IMR_09_2014_0304 crossref_primary_10_1108_JSM_10_2023_0377 crossref_primary_10_3390_jtaer16050080 crossref_primary_10_3389_fpsyg_2024_1427041 crossref_primary_10_3233_HSM_200972 crossref_primary_10_1108_JOSM_10_2016_0276 crossref_primary_10_1108_JIC_06_2020_0186 crossref_primary_10_1016_j_csda_2014_07_008 crossref_primary_10_1108_JBIM_12_2016_0278 crossref_primary_10_1016_j_jobe_2024_111248 crossref_primary_10_2139_ssrn_2364191 crossref_primary_10_1109_ACCESS_2020_3036054 crossref_primary_10_1016_j_pursup_2023_100821 crossref_primary_10_1177_0266666916684180 crossref_primary_10_1080_10447318_2023_2212862 crossref_primary_10_3390_youth3030053 crossref_primary_10_3390_jrfm15050227 crossref_primary_10_1108_JARHE_04_2021_0143 crossref_primary_10_1016_j_envsci_2015_06_023 crossref_primary_10_1371_journal_pone_0304729 crossref_primary_10_3390_su11030614 crossref_primary_10_3727_152599521X16367300695799 crossref_primary_10_3390_su15075911 crossref_primary_10_1016_j_shaw_2023_10_006 crossref_primary_10_1016_j_biocon_2016_07_002 crossref_primary_10_1108_EJM_01_2018_0050 crossref_primary_10_1080_21568316_2018_1561506 crossref_primary_10_1016_j_rege_2015_12_003 crossref_primary_10_1016_j_ecolind_2021_108401 crossref_primary_10_61186_aapc_8_16_313 crossref_primary_10_1016_j_heliyon_2021_e07103 crossref_primary_10_1108_MRR_06_2019_0254 crossref_primary_10_1108_IJCHM_09_2020_1038 crossref_primary_10_1007_s10257_022_00616_w crossref_primary_10_1016_j_tranpol_2024_07_018 crossref_primary_10_1016_j_jbusres_2020_05_041 crossref_primary_10_3390_su11164269 crossref_primary_10_1108_IJCHM_07_2021_0903 crossref_primary_10_1016_j_jengtecman_2022_101674 crossref_primary_10_1080_15228916_2021_1924573 crossref_primary_10_1057_s41307_024_00362_3 crossref_primary_10_1108_JIMA_02_2023_0045 crossref_primary_10_3390_buildings13040963 crossref_primary_10_3389_fpsyg_2021_631125 crossref_primary_10_1016_j_indmarman_2018_11_013 crossref_primary_10_1016_j_ssci_2022_105861 crossref_primary_10_24818_EA_2023_S17_1081 crossref_primary_10_1016_j_jretconser_2017_09_002 crossref_primary_10_1016_j_emj_2016_01_005 crossref_primary_10_1108_YC_03_2020_1106 crossref_primary_10_1016_j_smhl_2025_100541 crossref_primary_10_1016_j_ijinfomgt_2018_09_016 crossref_primary_10_1080_21665095_2023_2291004 crossref_primary_10_1080_15332845_2020_1737769 crossref_primary_10_3390_su16198492 crossref_primary_10_1016_j_chiabu_2022_105792 crossref_primary_10_1080_23311975_2023_2265089 crossref_primary_10_1016_j_egyr_2022_12_051 crossref_primary_10_1108_RAMJ_01_2023_0012 crossref_primary_10_1007_s10672_021_09365_3 crossref_primary_10_1080_03081060_2023_2294342 crossref_primary_10_33712_mana_1306769 crossref_primary_10_1007_s40333_017_0022_6 crossref_primary_10_1007_s12144_021_02093_9 crossref_primary_10_1007_s10798_016_9373_0 crossref_primary_10_1371_journal_pgph_0001329 crossref_primary_10_1007_s11135_018_0689_6 crossref_primary_10_3390_su16145970 crossref_primary_10_1080_08874417_2022_2081883 crossref_primary_10_32674_jis_v14i3_5593 crossref_primary_10_1080_10454446_2019_1697980 crossref_primary_10_1108_CRR_10_2021_0037 crossref_primary_10_1007_s11356_019_05650_9 crossref_primary_10_1108_IntR_12_2017_0509 crossref_primary_10_33881_2027_1786_rip_17302 crossref_primary_10_1109_ACCESS_2019_2893311 crossref_primary_10_21272_mmi_2023_1_20 crossref_primary_10_1016_j_im_2021_103451 crossref_primary_10_1007_s12599_023_00820_z crossref_primary_10_1016_j_joitmc_2024_100267 crossref_primary_10_1108_JIMA_08_2019_0170 crossref_primary_10_1108_JEEE_07_2021_0286 crossref_primary_10_3233_HSM_201001 crossref_primary_10_1108_JIC_08_2023_0181 crossref_primary_10_55708_js0112001 crossref_primary_10_1108_MEDAR_04_2020_0852 crossref_primary_10_1371_journal_pone_0264135 crossref_primary_10_1057_s41599_023_01552_x crossref_primary_10_1515_erj_2020_0098 crossref_primary_10_3390_su16229952 crossref_primary_10_1080_03075079_2020_1723526 crossref_primary_10_1108_EBR_11_2018_0203 crossref_primary_10_2139_ssrn_2938078 crossref_primary_10_1016_j_ijresmar_2014_03_002 crossref_primary_10_1142_S1084946724500110 crossref_primary_10_61186_aapc_7_14_289 crossref_primary_10_1108_JIC_07_2020_0240 crossref_primary_10_1088_1748_9326_ad1c1b crossref_primary_10_1016_j_im_2019_103176 crossref_primary_10_1016_j_techfore_2017_06_031 crossref_primary_10_1108_ICS_02_2021_0020 crossref_primary_10_1080_20479700_2019_1632002 crossref_primary_10_3390_app10196905 crossref_primary_10_1108_IJEM_05_2016_0099 crossref_primary_10_1108_IJSSP_09_2023_0234 crossref_primary_10_1080_1051712X_2024_2386530 crossref_primary_10_1007_s10796_021_10209_6 crossref_primary_10_1016_j_techfore_2023_123074 crossref_primary_10_1007_s11115_025_00852_x crossref_primary_10_3233_JAD_160558 crossref_primary_10_1016_j_agwat_2021_107244 crossref_primary_10_1016_j_heliyon_2024_e30179 crossref_primary_10_1093_brain_awz327 crossref_primary_10_1007_s10639_024_13181_1 crossref_primary_10_48084_etasr_4132 crossref_primary_10_15421_192416 crossref_primary_10_1177_0258042X231181756 crossref_primary_10_1063_1_5121771 crossref_primary_10_61186_ame_1_2_51 crossref_primary_10_1016_j_dib_2020_106035 crossref_primary_10_3390_agronomy13071840 crossref_primary_10_3390_ijerph19073901 crossref_primary_10_4102_sajems_v23i1_3498 crossref_primary_10_1108_MD_06_2022_0856 crossref_primary_10_3390_ijerph191610231 crossref_primary_10_1108_JKM_03_2018_0194 crossref_primary_10_1007_s42488_023_00108_7 crossref_primary_10_1080_08874417_2024_2329137 crossref_primary_10_1108_F_04_2015_0015 crossref_primary_10_3233_JRS_220067 crossref_primary_10_12688_f1000research_144963_2 crossref_primary_10_1016_j_jretconser_2018_02_008 crossref_primary_10_1108_JIEB_10_2021_0097 crossref_primary_10_3390_su142013261 crossref_primary_10_1108_MIP_08_2017_0155 crossref_primary_10_1080_23311975_2021_1896871 crossref_primary_10_12688_f1000research_144963_1 crossref_primary_10_1590_s0104_40362019002701786 crossref_primary_10_3390_ijerph19084861 crossref_primary_10_1016_j_chb_2024_108177 crossref_primary_10_1108_IJPPM_01_2021_0047 crossref_primary_10_1108_TQM_06_2022_0197 crossref_primary_10_1007_s11575_024_00541_9 crossref_primary_10_1080_01446193_2021_1994148 crossref_primary_10_3389_fpsyg_2019_00899 crossref_primary_10_1109_JIOT_2017_2750765 crossref_primary_10_3390_su15065583 crossref_primary_10_1108_VJIKMS_09_2021_0223 crossref_primary_10_1007_s10479_016_2245_x crossref_primary_10_2196_22912 crossref_primary_10_1108_ITP_10_2019_0548 crossref_primary_10_22495_cocv14i1c3p11 crossref_primary_10_3390_su15032421 crossref_primary_10_1007_s11135_022_01400_1 crossref_primary_10_4018_IJCWT_2020040103 crossref_primary_10_1177_0273475318755492 crossref_primary_10_1108_SAJBS_06_2016_0049 crossref_primary_10_1177_1357633X231163354 crossref_primary_10_1007_s10551_016_3290_8 crossref_primary_10_47172_2965_730X_SDGsReview_v5_n02_pe04322 crossref_primary_10_3389_fpubh_2024_1441703 crossref_primary_10_20879_acr_2022_19_2_48 crossref_primary_10_3390_foods11182918 crossref_primary_10_1007_s11135_016_0431_1 crossref_primary_10_1108_IJIS_04_2021_0075 crossref_primary_10_1016_j_heliyon_2023_e17487 crossref_primary_10_1108_JIC_01_2020_0005 crossref_primary_10_1007_s00267_020_01393_3 crossref_primary_10_1142_S0219649219500369 crossref_primary_10_1007_s11205_022_02994_7 crossref_primary_10_22434_IFAMR2017_0038 crossref_primary_10_1080_01900692_2013_791315 crossref_primary_10_51541_nicel_1139405 crossref_primary_10_1108_JM2_12_2017_0135 crossref_primary_10_1016_j_heliyon_2023_e20890 crossref_primary_10_1016_j_dss_2022_113897 crossref_primary_10_3390_math11061311 crossref_primary_10_1007_s10796_018_9892_1 crossref_primary_10_3389_fpsyg_2022_1007710 crossref_primary_10_1108_JBIM_01_2019_0061 crossref_primary_10_3917_qdm_227_0033 crossref_primary_10_1108_IMDS_09_2016_0366 crossref_primary_10_20879_acr_2022_19_2_15 crossref_primary_10_1177_08862605221078814 crossref_primary_10_1016_j_system_2020_102369 crossref_primary_10_1515_edu_2024_0035 crossref_primary_10_1080_00222216_2014_11950335 crossref_primary_10_1016_j_heliyon_2024_e39560 crossref_primary_10_3390_su16104310 crossref_primary_10_1080_23311975_2024_2388227 crossref_primary_10_1080_15623599_2022_2051241 crossref_primary_10_3390_su12198041 crossref_primary_10_1016_j_lrp_2013_01_001 crossref_primary_10_1016_j_chbr_2024_100523 crossref_primary_10_1080_09588221_2023_2202215 crossref_primary_10_1177_2322093719875567 crossref_primary_10_1016_j_jclepro_2016_08_160 crossref_primary_10_1007_s11356_025_36049_4 crossref_primary_10_1108_JSTPM_04_2022_0077 crossref_primary_10_3389_fpsyg_2020_01432 crossref_primary_10_1016_j_techfore_2018_08_018 crossref_primary_10_1016_j_catena_2021_105783 crossref_primary_10_1016_j_chb_2018_01_033 crossref_primary_10_21511_im_19_4__2023_22 crossref_primary_10_1108_TQM_10_2023_0334 crossref_primary_10_2139_ssrn_2780164 crossref_primary_10_52080_rvgluz_27_7_44 crossref_primary_10_1007_s40999_022_00793_2 crossref_primary_10_1108_IJCHM_03_2017_0148 crossref_primary_10_3390_ijerph17144991 crossref_primary_10_1016_j_ijinfomgt_2014_06_001 crossref_primary_10_20473_jmtt_v16i3_49490 crossref_primary_10_1108_EJMS_11_2021_0109 crossref_primary_10_1108_BPMJ_05_2017_0129 crossref_primary_10_3390_su142315770 crossref_primary_10_3389_fpsyg_2021_760051 crossref_primary_10_1108_BPMJ_03_2018_0079 crossref_primary_10_1111_deci_12329 crossref_primary_10_1002_casp_2737 crossref_primary_10_1016_j_aej_2023_05_033 crossref_primary_10_1002_cb_2226 crossref_primary_10_1016_j_jretconser_2018_11_013 crossref_primary_10_1108_IMDS_08_2017_0349 crossref_primary_10_1108_K_11_2020_0778 crossref_primary_10_3390_bs13080670 crossref_primary_10_1142_S136391962050070X crossref_primary_10_1007_s11573_020_00972_4 crossref_primary_10_1108_BFJ_02_2021_0113 crossref_primary_10_3390_admsci14110281 crossref_primary_10_1007_s11747_017_0517_x crossref_primary_10_1108_ECAM_07_2023_0746 crossref_primary_10_1192_bjp_2021_142 crossref_primary_10_1108_MEQ_05_2023_0146 crossref_primary_10_1057_s41599_025_04383_0 crossref_primary_10_3390_atmos8030045 crossref_primary_10_1016_j_jretconser_2015_03_008 crossref_primary_10_3390_su16166843 crossref_primary_10_1177_1094428114526928 crossref_primary_10_22495_cocv12i3c3p3 crossref_primary_10_1108_IntR_12_2017_0530 crossref_primary_10_1080_20590776_2021_1997065 crossref_primary_10_1108_IJESM_11_2019_0022 crossref_primary_10_1016_j_agee_2025_109539 crossref_primary_10_1007_s11365_023_00908_8 crossref_primary_10_1016_j_im_2016_01_001 crossref_primary_10_1108_IJIS_08_2019_0083 crossref_primary_10_1108_JSBED_12_2022_0525 crossref_primary_10_1108_JARHE_11_2023_0551 crossref_primary_10_1108_JCMARS_01_2022_0002 crossref_primary_10_1108_JKM_05_2017_0188 crossref_primary_10_18825_iremjournal_1171819 crossref_primary_10_1007_s12564_019_09617_w crossref_primary_10_1080_09585192_2017_1416655 crossref_primary_10_1007_s10997_018_9422_z crossref_primary_10_1108_PRR_12_2016_0011 crossref_primary_10_37394_23207_2022_19_159 crossref_primary_10_1007_s11573_017_0872_6 crossref_primary_10_1016_j_jclepro_2023_138254 crossref_primary_10_1080_21645698_2022_2140678 crossref_primary_10_3389_fbuil_2024_1233266 crossref_primary_10_24136_oc_2022_026 crossref_primary_10_1016_j_jretconser_2024_103800 crossref_primary_10_1108_JMD_12_2016_0272 crossref_primary_10_1108_JMD_01_2021_0031 crossref_primary_10_1108_TQM_01_2021_0026 crossref_primary_10_1108_JAMR_09_2018_0086 crossref_primary_10_1016_j_jbusres_2024_115087 crossref_primary_10_1108_JBIM_11_2016_0272 crossref_primary_10_1108_K_05_2022_0746 crossref_primary_10_1080_10447318_2022_2073065 crossref_primary_10_3390_en15030746 crossref_primary_10_1080_13527266_2023_2230482 crossref_primary_10_1108_IJSBI_06_2023_0035 crossref_primary_10_1080_09537325_2016_1262021 crossref_primary_10_1109_ACCESS_2022_3230629 crossref_primary_10_1016_j_jbusres_2016_04_016 crossref_primary_10_29252_jemr_10_40_99 crossref_primary_10_1108_JMTM_01_2022_0021 crossref_primary_10_3390_buildings14123768 crossref_primary_10_15452_CEJNM_2018_09_0004 crossref_primary_10_1016_j_jhazmat_2025_137135 crossref_primary_10_1108_MD_04_2023_0616 crossref_primary_10_1016_j_jbusres_2016_04_013 crossref_primary_10_1016_j_scp_2024_101621 crossref_primary_10_1155_jfq_1255122 crossref_primary_10_1007_s10799_018_0295_2 crossref_primary_10_3390_math9090928 crossref_primary_10_1016_j_cose_2021_102526 crossref_primary_10_1016_j_heliyon_2023_e18998 crossref_primary_10_1111_beer_12556 crossref_primary_10_1007_s12232_023_00422_x crossref_primary_10_1016_j_psrb_2016_05_003 crossref_primary_10_1007_s10823_017_9340_6 crossref_primary_10_1108_JMD_12_2016_0292 crossref_primary_10_1177_1094428114529165 crossref_primary_10_1016_j_gecco_2024_e03313 crossref_primary_10_1186_s40359_022_00781_0 crossref_primary_10_3390_su142114506 crossref_primary_10_1016_j_gecco_2024_e03311 crossref_primary_10_1080_10548408_2014_889641 crossref_primary_10_3390_pr10030539 crossref_primary_10_1057_s41599_023_02335_0 crossref_primary_10_1057_s41599_023_01632_y crossref_primary_10_3390_app13116496 crossref_primary_10_1108_ARLA_06_2023_0090 crossref_primary_10_3390_info11090447 crossref_primary_10_1088_2515_7620_ad294a crossref_primary_10_56811_PIQ_20_0050 crossref_primary_10_3390_su15129834 crossref_primary_10_37226_rcp_2020_01 crossref_primary_10_1080_14783363_2022_2071693 crossref_primary_10_1108_K_02_2021_0164 crossref_primary_10_1021_acs_est_0c00017 crossref_primary_10_1080_21639159_2023_2218394 crossref_primary_10_1016_j_agee_2023_108439 crossref_primary_10_1590_1678_6971_eramg200022 crossref_primary_10_1515_erj_2018_0161 crossref_primary_10_1016_j_indmarman_2023_11_002 crossref_primary_10_1108_JTF_05_2022_0147 crossref_primary_10_4236_tel_2018_814183 crossref_primary_10_1016_j_scitotenv_2019_06_320 crossref_primary_10_1007_s11205_015_1012_8 crossref_primary_10_1108_JHTT_01_2018_0001 crossref_primary_10_1016_j_techsoc_2024_102538 crossref_primary_10_1016_j_heliyon_2022_e10725 crossref_primary_10_17153_oguiibf_877372 crossref_primary_10_1016_j_ajsl_2024_10_001 crossref_primary_10_3390_ejihpe13060083 crossref_primary_10_3390_su152015146 crossref_primary_10_4236_tel_2018_814192 crossref_primary_10_5325_jinfopoli_9_2019_0280 crossref_primary_10_1016_j_techfore_2017_02_029 crossref_primary_10_29252_aapc_4_7_135 crossref_primary_10_1016_j_ipm_2021_102761 crossref_primary_10_1080_1331677X_2019_1650654 crossref_primary_10_1108_JKM_05_2018_0322 crossref_primary_10_18307_2022_0303 crossref_primary_10_1108_JIMA_12_2019_0258 crossref_primary_10_1080_10941665_2018_1564339 crossref_primary_10_1088_1755_1315_1438_1_012002 crossref_primary_10_4018_JOEUC_2020100101 crossref_primary_10_1108_IJPPM_04_2019_0205 crossref_primary_10_1108_JIMA_11_2019_0243 crossref_primary_10_1108_SAJBS_08_2020_0270 crossref_primary_10_1007_s10799_016_0256_6 crossref_primary_10_1016_j_foodqual_2023_104991 crossref_primary_10_1108_JCRE_06_2019_0030 crossref_primary_10_1016_j_appet_2025_107874 crossref_primary_10_1108_BPMJ_04_2024_0309 crossref_primary_10_1108_IJEM_04_2017_0086 crossref_primary_10_1016_j_eiar_2022_107012 crossref_primary_10_1108_OIR_12_2016_0354 crossref_primary_10_1016_j_acclit_2016_09_003 crossref_primary_10_1108_BIJ_06_2017_0144 crossref_primary_10_1016_j_ssaho_2025_101400 crossref_primary_10_1177_09721509211044309 crossref_primary_10_1108_EJIM_09_2022_0479 crossref_primary_10_1007_s10639_020_10341_x crossref_primary_10_3390_su14094944 crossref_primary_10_3390_f15030531 crossref_primary_10_1016_j_heliyon_2024_e26234 crossref_primary_10_1016_j_compedu_2018_09_010 crossref_primary_10_1016_j_heliyon_2024_e26475 crossref_primary_10_1080_23311908_2023_2258475 crossref_primary_10_3389_feduc_2024_1401394 crossref_primary_10_1111_jpim_12738 crossref_primary_10_1177_00472875241228499 crossref_primary_10_1177_09720634231168524 crossref_primary_10_3390_soc14110228 crossref_primary_10_3390_su151511979 crossref_primary_10_1186_s40359_024_02011_1 crossref_primary_10_1007_s12144_025_07442_6 crossref_primary_10_5325_jinfopoli_9_1_0280 crossref_primary_10_1016_j_compedu_2019_02_021 crossref_primary_10_3389_fpsyg_2022_961589 crossref_primary_10_3390_f16030525 crossref_primary_10_51599_are_2024_10_02_08 crossref_primary_10_1057_s41599_024_02900_1 crossref_primary_10_1108_IJLM_05_2022_0222 crossref_primary_10_1108_JMTM_05_2018_0126
Cites_doi	10.1207/S15328007SEM0802_7 10.1108/S1474-7979(2009)0000020014 10.18637/jss.v048.i03 10.1007/978-3-540-32827-8_21 10.1007/978-3-540-32827-8_3 10.1007/978-3-540-32827-8 10.1177/0049124189017003004 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7 10.1007/978-3-642-52512-4 10.1108/S1474-7979(2011)0000022012 10.1002/9781118619179 10.1007/s00180-009-0164-x 10.1007/BF02294860 10.1037/0021-9010.88.2.207 10.2307/41410402 10.1016/j.ijresmar.2009.08.001 10.1007/978-3-540-32827-8_2 10.1007/978-94-009-5079-5_11 10.1007/BF02294359 10.1002/asmb.728 10.1037/0033-2909.107.2.238 10.1108/S1548-6435(2010)0000007011 10.1007/s00180-007-0042-3 10.1177/1059601108329198 10.1080/02664760903030213 10.1207/s15327906mbr2502_4 10.1007/s11336-011-9206-8 10.1016/j.csda.2004.03.005 10.1007/s11747-011-0261-6 10.1287/isre.14.2.189.16018 10.1080/10705519909540118 10.1037/0033-2909.105.3.430 10.1287/mksc.14.3.G203 10.2307/3151312 10.1007/978-3-540-32827-8_29 10.2307/3151718 10.1016/0014-2921(74)90008-7
ContentType	Journal Article
Copyright	The Author(s) 2012 Springer-Verlag Berlin Heidelberg 2013
Copyright_xml	– notice: The Author(s) 2012 – notice: Springer-Verlag Berlin Heidelberg 2013
DBID	C6C AAYXX CITATION 3V. 7SC 7TB 7WY 7WZ 7XB 87Z 88I 8AL 8C1 8FD 8FE 8FG 8FK 8FL 8G5 ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BEZIV BGLVJ CCPQU DWQXO FR3 FRNLG FYUFA F~G GHDGH GNUQQ GUQSH HCIFZ JQ2 K60 K6~ K7- KR7 L.- L6V L7M L~C L~D M0C M0N M2O M2P M7S MBDVC P5Z P62 PHGZM PHGZT PJZUB PKEHL PPXIY PQBIZ PQBZA PQEST PQGLB PQQKQ PQUKI PTHSS Q9U
DOI	10.1007/s00180-012-0317-1
DatabaseName	Springer Nature Link CrossRef ProQuest Central (Corporate) Computer and Information Systems Abstracts Mechanical & Transportation Engineering Abstracts ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ABI/INFORM Global (Alumni Edition) Science Database (Alumni Edition) Computing Database (Alumni Edition) Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ABI/INFORM Collection (Alumni) ProQuest Research Library Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection ProQuest Central Essentials - QC ProQuest Central Business Premium Collection Technology Collection ProQuest One Community College ProQuest Central Engineering Research Database Business Premium Collection (Alumni) Health Research Premium Collection ABI/INFORM Global (Corporate) Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest Research Library SciTech Premium Collection ProQuest Computer Science Collection ProQuest Business Collection (Alumni Edition) ProQuest Business Collection Computer Science Database Civil Engineering Abstracts ABI/INFORM Professional Advanced ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ABI/INFORM Global Computing Database ProQuest - Research Library Science Database Engineering Database Research Library (Corporate) Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Business ProQuest One Business (Alumni) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition Engineering Collection ProQuest Central Basic
DatabaseTitle	CrossRef ProQuest Business Collection (Alumni Edition) Research Library Prep Computer Science Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ABI/INFORM Complete ProQuest One Applied & Life Sciences Health Research Premium Collection Health & Medical Research Collection ProQuest Central (New) Engineering Collection Advanced Technologies & Aerospace Collection Business Premium Collection ABI/INFORM Global Engineering Database ProQuest Science Journals (Alumni Edition) ProQuest One Academic Eastern Edition ProQuest Technology Collection Health Research Premium Collection (Alumni) ProQuest Business Collection ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic ProQuest One Academic (New) ABI/INFORM Global (Corporate) ProQuest One Business Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing Research Library (Alumni Edition) ProQuest Central ABI/INFORM Professional Advanced ProQuest Health & Medical Research Collection ProQuest Engineering Collection ProQuest Central Korea ProQuest Research Library Advanced Technologies Database with Aerospace ABI/INFORM Complete (Alumni Edition) Civil Engineering Abstracts ProQuest Computing ProQuest Public Health ABI/INFORM Global (Alumni Edition) ProQuest Central Basic ProQuest Science Journals ProQuest Computing (Alumni Edition) ProQuest SciTech Collection Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database Materials Science & Engineering Collection ProQuest One Business (Alumni) ProQuest Central (Alumni) Business Premium Collection (Alumni)
DatabaseTitleList	ProQuest Business Collection (Alumni Edition) Civil Engineering Abstracts
Database_xml	– sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Statistics Mathematics
EISSN	1613-9658
EndPage	580
ExternalDocumentID	2927199731 10_1007_s00180_012_0317_1
Genre	Feature
GroupedDBID	-5D -5G -BR -EM -Y2 -~C .86 .VR 06D 0R~ 0VY 199 1N0 203 29F 2J2 2JN 2JY 2KG 2LR 2VQ 2~H 30V 3V. 4.4 406 408 409 40D 40E 53G 5GY 5VS 67Z 6NX 78A 7WY 88I 8C1 8FE 8FG 8FL 8G5 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFTV ABHLI ABHQN ABJCF ABJNI ABJOX ABKCH ABKTR ABLJU ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACGOD ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACSNA ACZOJ ADBBV ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALIPV ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN AZQEC B-. BA0 BAPOH BDATZ BENPR BEZIV BGLVJ BGNMA BPHCQ BSONS C6C CAG CCPQU COF CS3 CSCUP DDRTE DNIVK DPUIP DU5 DWQXO EBLON EBS EIOEI EJD ESBYG F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FWDCC FYUFA GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 GQ8 GROUPED_ABI_INFORM_COMPLETE GUQSH GXS H13 HCIFZ HF~ HG5 HG6 HLICF HMJXF HQYDN HRMNR HVGLF HZ~ H~9 IHE IJ- IKXTQ ITM IWAJR IXC IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K60 K6V K6~ K7- KDC KOV L6V LAS LLZTM M0C M0N M2O M2P M4Y M7S MA- MK~ N2Q N9A NB0 NPVJJ NQJWS NU0 O9- O93 O9J OAM P2P P62 P9R PF0 PQBIZ PQBZA PQQKQ PROAC PT4 PTHSS Q2X QOS R89 R9I RNS ROL RPX RSV S16 S1Z S27 S3B SAP SDH SHX SISQX SJYHP SMT SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSK TSV TUC U2A UG4 UKHRP UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z7R Z7X Z7Y Z81 Z83 Z88 ZMTXR AAPKM AAYXX ABBRH ABDBE ABFSG ACSTC ADHKG ADKFA AEZWR AFDZB AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP AMVHM ATHPR AYFIA CITATION PHGZM PHGZT 7SC 7TB 7XB 8AL 8FD 8FK ABRTQ FR3 JQ2 KR7 L.- L7M L~C L~D MBDVC PJZUB PKEHL PPXIY PQEST PQGLB PQUKI Q9U PUEGO
ID	FETCH-LOGICAL-c392t-d38de29f47ac02159a1c175df816a196d0b79a210692a2cad2ba6a0ff478a5cf3
IEDL.DBID	BENPR
ISSN	0943-4062
IngestDate	Sun Aug 24 03:59:02 EDT 2025 Fri Jul 25 19:03:57 EDT 2025 Thu Apr 24 23:11:55 EDT 2025 Tue Jul 01 04:23:12 EDT 2025 Fri Feb 21 02:33:33 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	2
Keywords	C39 Goodness-of-fit index (GoF) Partial least squares path modeling (PLS)
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c392t-d38de29f47ac02159a1c175df816a196d0b79a210692a2cad2ba6a0ff478a5cf3
Notes	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
OpenAccessLink	https://link.springer.com/10.1007/s00180-012-0317-1
PQID	1319497806
PQPubID	54096
PageCount	16
ParticipantIDs	proquest_miscellaneous_1349439178 proquest_journals_1319497806 crossref_primary_10_1007_s00180_012_0317_1 crossref_citationtrail_10_1007_s00180_012_0317_1 springer_journals_10_1007_s00180_012_0317_1
ProviderPackageCode	CITATION AAYXX
PublicationCentury	2000
PublicationDate	20130400 2013-4-00 20130401
PublicationDateYYYYMMDD	2013-04-01
PublicationDate_xml	– month: 4 year: 2013 text: 20130400
PublicationDecade	2010
PublicationPlace	Berlin/Heidelberg
PublicationPlace_xml	– name: Berlin/Heidelberg – name: Heidelberg
PublicationTitle	Computational statistics
PublicationTitleAbbrev	Comput Stat
PublicationYear	2013
Publisher	Springer-Verlag Springer Nature B.V
Publisher_xml	– name: Springer-Verlag – name: Springer Nature B.V
References	FornellCLarckerDFEvaluating structural equation models with unobservable variables and measurement errorJ Market Res1981181395010.2307/3151312 Wold HOA (1985a) Partial least squares. In: Kotz S, Johnson NL (eds) Encyclopaedia of statistical sciences, vol 6. Wiley, New York, NY, pp 581–591 SteigerJHStructural model evaluation and modification: an interval estimation approachMultivar Behav Res1990252173180298394710.1207/s15327906mbr2502_4 ChinWWMarcolinBLNewstedPRA partial least squares latent variable modeling approach for measuring interaction effects. Results from a Monte Carlo simulation study and an electronic-mail emotion/adopion studyInf Syst Res200314218921710.1287/isre.14.2.189.16018 ChinWEspositoVinziVChinWWHenselerJWangHHow to write up and report PLS analysesHandbook of partial least squares: concepts, methods and applications2010HeidelbergSpringer65569010.1007/978-3-540-32827-8_29 Wold HOA (1985b) Partial least squares and LISREL models. In: Nijkamp P, Leitner H, Wrigley N (eds) Measuring the unmeasurable. Nijhoff, Dordrecht, Boston, Lancaster, pp 220–251 Ringle C, Sarstedt M, Straub D (2012) A critical look at the use of pls-sem in mis quarterly. MIS Q 36(1): iii–xiv Lohmöller JB (1989) Latent variable path modeling with partial least squares. Physica, Heidelberg HenselerJOn the convergence of the partial least squares path modeling algorithmComput Stat201025110712025867271224.6501910.1007/s00180-009-0164-x SarstedtMRingleCMTreating unobserved heterogeneity in PLS path modelling: a comparison of FIMIX-PLS with different data analysis strategiesJ Appl Stat201037812991318275193610.1080/02664760903030213 ReinartzWJHaenleinMHenselerJAn empirical comparison of the efficacy of covariance-based and variance-based SEMInt J Res Market200926433234410.1016/j.ijresmar.2009.08.001 BagozziRPYiYBagozziRPAdvanced topics in structural equation modelsAdvanced methods of marketing research1994OxfordBlackwell151 EspositoVinziVTrincheraLSquillacciottiSTenenhausMREBUS-PLS: A response-based procedure for detecting unit segments in PLS path modellingAppl Stoch Models Bus Ind2008245439458246377510.1002/asmb.728 Arbuckle JL (2003) Amos 5 User’s Guide. SPSS Soft Modeling, Inc (1992–2002) PLS-Graph Version 3.0. Houston, TX. http://www.plsgraph.com KrijnenWDijkstraTGillRConditions for factor (in) determinacy in factor analysisPsychometrika1998634359367167171510.1007/BF02294860 WoldHOADavidFNNon-linear estimation by iterative least squares proceduresResearch papers in statistics1966LondonWiley411444 WheatonBMuthénBAlwinDFSummersGFHeiseDAssessing reliability and stability in panel modelsSociological methodology1977Washington, DCJossey-Bass84136 Wold HOA (1973) Nonlinear iterative partial least squares (NIPALS) modelling. Some current developments. In: Krishnaiah PR (ed) Proceedings of the 3rd international symposium on multivariate analysis, Dayton, OH. pp 383–407 Tenenhaus M, Amato S, Esposito Vinzi V (2004) A global goodness-of-fit index for PLS structural equation modelling. In: Proceedings of the XLII SIS scientific meeting. pp 739–742 HenselerJRingleCSinkovicsRThe use of partial least squares path modeling in international marketingAdv Int Market2009202009277319 Dijkstra TK (2010) Latent variables and indices: Herman Wold’s basic design and partial least squares. In: Vinzi VE, Chin WW, Henseler J, Wang H (eds) Handbook of partial least squares: concepts, methods, and applications, computational statistics, vol II, Springer, Heidelberg, pp 23–46 (in print) Wold HOA (1989) Introduction to the second generation of multivariate analysis. In: Wold HOA (ed) Theoretical empiricism. A general rationale for scientific model-building. Paragon House, New York, pp VIII–XL BollenKAStructural equations with latent variables1989New York, NYWiley0731.62159 Wold HOA (1982) Soft modelling: the basic design and some extensions. In: Jöreskog KG, Wold HOA (eds) Systems under indirect observation. Causality, structure, prediction, vol II. North-Holland, Amsterdam, New York, Oxford, pp 1–54 FornellCThe quality of economic output: empirical generalizations about its distribution and relationship to market shareMarket Sci1995143G203G21110.1287/mksc.14.3.G203 BollenKAA new incremental fit index for general structural equation modelsSociol Methods Res1989173303203779810.1177/0049124189017003004 Rigdon EE (1998) Structural equation modeling. In: Marcoulides GA (ed) Modern methods for business research, Lawrence Erlbaum Associates. Mahwah, pp 251–294 Esposito Vinzi V, Chin WW, Henseler J, Wang H (eds) (2010a) Handbook of partial least squares: concepts, methods and applications. Springer, Heidelberg ChinWWNewstedPRHoyleRHStructural equation modeling analysis with small samples using partial least squaresStatistical strategies for small sample research1999Thousand Oaks, CASage334342 Ringle CM, Wende S, Will A (2005) SmartPLS 2.0 M3. University of Hamburg, Hamburg, Germany. http://www.smartpls.de AkaikeHFactor analysis and AICPsychometrika19875233173329144590627.6206710.1007/BF02294359 MulaikSAJamesLRvan AlstineJBennettNLindSStilwellCDEvaluation of goodness-of-fit indices for structural equation modelsPsychol Bull198910543044510.1037/0033-2909.105.3.430 Rigdon EE, Ringle CM, Sarstedt M (2010) Structural modeling of heterogeneous data with partial least squares. In: Malhotra NK (ed) Review of marketing research, vol 7. Sharpe, pp 255–296 Dijkstra TK (1981) Latent variables in linear stochastic models: reflections on “Maximum Likelihood” and “Partial Least Squares” methods. PhD thesis, Groningen University, Groningen, a second edition was published in 1985 by Sociometric Research Foundation Jöreskog KG, Sörbom D (1986) LISREL VI: Analysis of linear structural relationships by maximum likelihood and least squares methods. Scientific Software, Mooresville, IN Monecke A, Leisch F (2012) semPLS: Structural equation modeling using partial least squares. J Stat Softw (forthcoming) PaxtonPCurranPBollenKKirbyJChenFMonte carlo experiments: design and implementationStruct Equ Model20018228731210.1207/S15328007SEM0802_7 TenenhausATenenhausMRegularized generalized caconical correlation analysisPsychometrika201176225728427888850589996110.1007/s11336-011-9206-8 DuartePRaposoMEspositoVinziVChinWWHenselerJWangHA PLS model to study brand preference: an application to the mobile phone marketHandbook of partial least squares: concepts, methods and applications2010HeidelbergSpringer44948510.1007/978-3-540-32827-8_21 BentlerPMComparative fit indexes in structural modelsPsychol Bull1990107223824610.1037/0033-2909.107.2.238 Esposito VinziVTrincheraLAmatoSEspositoVinziVChinWWHenselerJWangHPLS path modeling: from foundations to recent developments and open issues for model assessment and improvementHandbook of partial least squares: concepts, methods and applications2010HeidelbergSpringer478210.1007/978-3-540-32827-8_3 FornellCBooksteinFLTwo structural equation models: LISREL and PLS applied to consumer exit-voice theoryJ Market Res198219444045210.2307/3151718 BassBAvolioBJungDBersonYPredicting unit performance by assessing transformational and transactional leadershipJ Appl Psychol200388220721810.1037/0021-9010.88.2.207 SarstedtMHenselerJRingleCMMultigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical resultsAdv Int Market20112219521810.1108/S1474-7979(2011)0000022012 HullandJUse of partial least squares (PLS) in strategic management research: a review of four recent studiesStrateg Manag J199920219520410.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7 TenenhausMVinziVEChatelinYMLauroCPLS path modelingComput Stat Data Anal20054811592050537409910.1016/j.csda.2004.03.005 WoldHOACausal flows with latent variables: partings of the ways in the light of NIPALS modellingEur Econ Rev197451678610.1016/0014-2921(74)90008-7 SosikJKahaiSPiovosoMSilver bullet or voodoo statisticsGroup Organ Manag2009341510.1177/1059601108329198 Hair J, Sarstedt M, Ringle C, Mena J (2012) An assessment of the use of partial least squares structural equation modeling in marketing research. J Acad Market Sci (forthcoming) Addinsoft SARL (2007–2008) XLSTAT-PLSPM. Paris, France. http://www.xlstat.com/en/products/xlstat-plspm HanafiMPLS path modelling: computation of latent variables with the estimation mode BComput Stat200722227529223184601196.6210310.1007/s00180-007-0042-3 HuLTBentlerPMCutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternativesStruct Equ Model19996115510.1080/10705519909540118 J Hulland (317_CR26) 1999; 20 B Wheaton (317_CR46) 1977 P Duarte (317_CR14) 2010 WJ Reinartz (317_CR33) 2009; 26 317_CR52 317_CR53 J Henseler (317_CR23) 2010; 25 317_CR50 KA Bollen (317_CR8) 1989 317_CR51 317_CR12 JH Steiger (317_CR42) 1990; 25 317_CR13 317_CR16 WW Chin (317_CR10) 1999 A Tenenhaus (317_CR43) 2011; 76 RP Bagozzi (317_CR4) 1994 H Akaike (317_CR2) 1987; 52 SA Mulaik (317_CR31) 1989; 105 J Henseler (317_CR24) 2009; 20 317_CR40 KA Bollen (317_CR7) 1989; 17 C Fornell (317_CR20) 1981; 18 W Krijnen (317_CR28) 1998; 63 317_CR44 317_CR48 B Bass (317_CR5) 2003; 88 M Hanafi (317_CR22) 2007; 22 HOA Wold (317_CR47) 1966 P Paxton (317_CR32) 2001; 8 J Sosik (317_CR41) 2009; 34 M Tenenhaus (317_CR45) 2005; 48 V EspositoVinzi (317_CR15) 2008; 24 317_CR3 317_CR30 317_CR1 317_CR34 317_CR35 HOA Wold (317_CR49) 1974; 5 317_CR36 317_CR37 V Esposito Vinzi (317_CR17) 2010 C Fornell (317_CR18) 1995; 14 PM Bentler (317_CR6) 1990; 107 W Chin (317_CR9) 2010 M Sarstedt (317_CR38) 2010; 37 C Fornell (317_CR19) 1982; 19 317_CR21 LT Hu (317_CR25) 1999; 6 317_CR27 M Sarstedt (317_CR39) 2011; 22 317_CR29 WW Chin (317_CR11) 2003; 14
References_xml	– reference: Ringle C, Sarstedt M, Straub D (2012) A critical look at the use of pls-sem in mis quarterly. MIS Q 36(1): iii–xiv – reference: ChinWEspositoVinziVChinWWHenselerJWangHHow to write up and report PLS analysesHandbook of partial least squares: concepts, methods and applications2010HeidelbergSpringer65569010.1007/978-3-540-32827-8_29 – reference: FornellCLarckerDFEvaluating structural equation models with unobservable variables and measurement errorJ Market Res1981181395010.2307/3151312 – reference: TenenhausATenenhausMRegularized generalized caconical correlation analysisPsychometrika201176225728427888850589996110.1007/s11336-011-9206-8 – reference: SarstedtMHenselerJRingleCMMultigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical resultsAdv Int Market20112219521810.1108/S1474-7979(2011)0000022012 – reference: DuartePRaposoMEspositoVinziVChinWWHenselerJWangHA PLS model to study brand preference: an application to the mobile phone marketHandbook of partial least squares: concepts, methods and applications2010HeidelbergSpringer44948510.1007/978-3-540-32827-8_21 – reference: SosikJKahaiSPiovosoMSilver bullet or voodoo statisticsGroup Organ Manag2009341510.1177/1059601108329198 – reference: Hair J, Sarstedt M, Ringle C, Mena J (2012) An assessment of the use of partial least squares structural equation modeling in marketing research. J Acad Market Sci (forthcoming) – reference: Esposito VinziVTrincheraLAmatoSEspositoVinziVChinWWHenselerJWangHPLS path modeling: from foundations to recent developments and open issues for model assessment and improvementHandbook of partial least squares: concepts, methods and applications2010HeidelbergSpringer478210.1007/978-3-540-32827-8_3 – reference: KrijnenWDijkstraTGillRConditions for factor (in) determinacy in factor analysisPsychometrika1998634359367167171510.1007/BF02294860 – reference: HanafiMPLS path modelling: computation of latent variables with the estimation mode BComput Stat200722227529223184601196.6210310.1007/s00180-007-0042-3 – reference: BassBAvolioBJungDBersonYPredicting unit performance by assessing transformational and transactional leadershipJ Appl Psychol200388220721810.1037/0021-9010.88.2.207 – reference: Soft Modeling, Inc (1992–2002) PLS-Graph Version 3.0. Houston, TX. http://www.plsgraph.com – reference: Wold HOA (1982) Soft modelling: the basic design and some extensions. In: Jöreskog KG, Wold HOA (eds) Systems under indirect observation. Causality, structure, prediction, vol II. North-Holland, Amsterdam, New York, Oxford, pp 1–54 – reference: Rigdon EE, Ringle CM, Sarstedt M (2010) Structural modeling of heterogeneous data with partial least squares. In: Malhotra NK (ed) Review of marketing research, vol 7. Sharpe, pp 255–296 – reference: WoldHOACausal flows with latent variables: partings of the ways in the light of NIPALS modellingEur Econ Rev197451678610.1016/0014-2921(74)90008-7 – reference: EspositoVinziVTrincheraLSquillacciottiSTenenhausMREBUS-PLS: A response-based procedure for detecting unit segments in PLS path modellingAppl Stoch Models Bus Ind2008245439458246377510.1002/asmb.728 – reference: Rigdon EE (1998) Structural equation modeling. In: Marcoulides GA (ed) Modern methods for business research, Lawrence Erlbaum Associates. Mahwah, pp 251–294 – reference: Lohmöller JB (1989) Latent variable path modeling with partial least squares. Physica, Heidelberg – reference: Wold HOA (1985a) Partial least squares. In: Kotz S, Johnson NL (eds) Encyclopaedia of statistical sciences, vol 6. Wiley, New York, NY, pp 581–591 – reference: Dijkstra TK (1981) Latent variables in linear stochastic models: reflections on “Maximum Likelihood” and “Partial Least Squares” methods. PhD thesis, Groningen University, Groningen, a second edition was published in 1985 by Sociometric Research Foundation – reference: Dijkstra TK (2010) Latent variables and indices: Herman Wold’s basic design and partial least squares. In: Vinzi VE, Chin WW, Henseler J, Wang H (eds) Handbook of partial least squares: concepts, methods, and applications, computational statistics, vol II, Springer, Heidelberg, pp 23–46 (in print) – reference: Addinsoft SARL (2007–2008) XLSTAT-PLSPM. Paris, France. http://www.xlstat.com/en/products/xlstat-plspm/ – reference: ChinWWMarcolinBLNewstedPRA partial least squares latent variable modeling approach for measuring interaction effects. Results from a Monte Carlo simulation study and an electronic-mail emotion/adopion studyInf Syst Res200314218921710.1287/isre.14.2.189.16018 – reference: Tenenhaus M, Amato S, Esposito Vinzi V (2004) A global goodness-of-fit index for PLS structural equation modelling. In: Proceedings of the XLII SIS scientific meeting. pp 739–742 – reference: Monecke A, Leisch F (2012) semPLS: Structural equation modeling using partial least squares. J Stat Softw (forthcoming) – reference: HenselerJOn the convergence of the partial least squares path modeling algorithmComput Stat201025110712025867271224.6501910.1007/s00180-009-0164-x – reference: FornellCBooksteinFLTwo structural equation models: LISREL and PLS applied to consumer exit-voice theoryJ Market Res198219444045210.2307/3151718 – reference: Ringle CM, Wende S, Will A (2005) SmartPLS 2.0 M3. University of Hamburg, Hamburg, Germany. http://www.smartpls.de – reference: HuLTBentlerPMCutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternativesStruct Equ Model19996115510.1080/10705519909540118 – reference: WoldHOADavidFNNon-linear estimation by iterative least squares proceduresResearch papers in statistics1966LondonWiley411444 – reference: BagozziRPYiYBagozziRPAdvanced topics in structural equation modelsAdvanced methods of marketing research1994OxfordBlackwell151 – reference: TenenhausMVinziVEChatelinYMLauroCPLS path modelingComput Stat Data Anal20054811592050537409910.1016/j.csda.2004.03.005 – reference: Arbuckle JL (2003) Amos 5 User’s Guide. SPSS – reference: BollenKAA new incremental fit index for general structural equation modelsSociol Methods Res1989173303203779810.1177/0049124189017003004 – reference: HullandJUse of partial least squares (PLS) in strategic management research: a review of four recent studiesStrateg Manag J199920219520410.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7 – reference: AkaikeHFactor analysis and AICPsychometrika19875233173329144590627.6206710.1007/BF02294359 – reference: ReinartzWJHaenleinMHenselerJAn empirical comparison of the efficacy of covariance-based and variance-based SEMInt J Res Market200926433234410.1016/j.ijresmar.2009.08.001 – reference: WheatonBMuthénBAlwinDFSummersGFHeiseDAssessing reliability and stability in panel modelsSociological methodology1977Washington, DCJossey-Bass84136 – reference: PaxtonPCurranPBollenKKirbyJChenFMonte carlo experiments: design and implementationStruct Equ Model20018228731210.1207/S15328007SEM0802_7 – reference: Jöreskog KG, Sörbom D (1986) LISREL VI: Analysis of linear structural relationships by maximum likelihood and least squares methods. Scientific Software, Mooresville, IN – reference: ChinWWNewstedPRHoyleRHStructural equation modeling analysis with small samples using partial least squaresStatistical strategies for small sample research1999Thousand Oaks, CASage334342 – reference: Wold HOA (1985b) Partial least squares and LISREL models. In: Nijkamp P, Leitner H, Wrigley N (eds) Measuring the unmeasurable. Nijhoff, Dordrecht, Boston, Lancaster, pp 220–251 – reference: FornellCThe quality of economic output: empirical generalizations about its distribution and relationship to market shareMarket Sci1995143G203G21110.1287/mksc.14.3.G203 – reference: BentlerPMComparative fit indexes in structural modelsPsychol Bull1990107223824610.1037/0033-2909.107.2.238 – reference: Wold HOA (1989) Introduction to the second generation of multivariate analysis. In: Wold HOA (ed) Theoretical empiricism. A general rationale for scientific model-building. Paragon House, New York, pp VIII–XL – reference: SteigerJHStructural model evaluation and modification: an interval estimation approachMultivar Behav Res1990252173180298394710.1207/s15327906mbr2502_4 – reference: Wold HOA (1973) Nonlinear iterative partial least squares (NIPALS) modelling. Some current developments. In: Krishnaiah PR (ed) Proceedings of the 3rd international symposium on multivariate analysis, Dayton, OH. pp 383–407 – reference: Esposito Vinzi V, Chin WW, Henseler J, Wang H (eds) (2010a) Handbook of partial least squares: concepts, methods and applications. Springer, Heidelberg – reference: MulaikSAJamesLRvan AlstineJBennettNLindSStilwellCDEvaluation of goodness-of-fit indices for structural equation modelsPsychol Bull198910543044510.1037/0033-2909.105.3.430 – reference: BollenKAStructural equations with latent variables1989New York, NYWiley0731.62159 – reference: HenselerJRingleCSinkovicsRThe use of partial least squares path modeling in international marketingAdv Int Market2009202009277319 – reference: SarstedtMRingleCMTreating unobserved heterogeneity in PLS path modelling: a comparison of FIMIX-PLS with different data analysis strategiesJ Appl Stat201037812991318275193610.1080/02664760903030213 – ident: 317_CR51 – volume: 8 start-page: 287 issue: 2 year: 2001 ident: 317_CR32 publication-title: Struct Equ Model doi: 10.1207/S15328007SEM0802_7 – start-page: 334 volume-title: Statistical strategies for small sample research year: 1999 ident: 317_CR10 – volume: 20 start-page: 277 issue: 2009 year: 2009 ident: 317_CR24 publication-title: Adv Int Market doi: 10.1108/S1474-7979(2009)0000020014 – ident: 317_CR30 doi: 10.18637/jss.v048.i03 – start-page: 449 volume-title: Handbook of partial least squares: concepts, methods and applications year: 2010 ident: 317_CR14 doi: 10.1007/978-3-540-32827-8_21 – start-page: 47 volume-title: Handbook of partial least squares: concepts, methods and applications year: 2010 ident: 317_CR17 doi: 10.1007/978-3-540-32827-8_3 – ident: 317_CR16 doi: 10.1007/978-3-540-32827-8 – volume: 17 start-page: 303 issue: 3 year: 1989 ident: 317_CR7 publication-title: Sociol Methods Res doi: 10.1177/0049124189017003004 – volume: 20 start-page: 195 issue: 2 year: 1999 ident: 317_CR26 publication-title: Strateg Manag J doi: 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7 – ident: 317_CR29 doi: 10.1007/978-3-642-52512-4 – ident: 317_CR12 – volume: 22 start-page: 195 year: 2011 ident: 317_CR39 publication-title: Adv Int Market doi: 10.1108/S1474-7979(2011)0000022012 – volume-title: Structural equations with latent variables year: 1989 ident: 317_CR8 doi: 10.1002/9781118619179 – volume: 25 start-page: 107 issue: 1 year: 2010 ident: 317_CR23 publication-title: Comput Stat doi: 10.1007/s00180-009-0164-x – volume: 63 start-page: 359 issue: 4 year: 1998 ident: 317_CR28 publication-title: Psychometrika doi: 10.1007/BF02294860 – ident: 317_CR50 – volume: 88 start-page: 207 issue: 2 year: 2003 ident: 317_CR5 publication-title: J Appl Psychol doi: 10.1037/0021-9010.88.2.207 – ident: 317_CR48 – ident: 317_CR1 – ident: 317_CR27 – ident: 317_CR44 – ident: 317_CR36 doi: 10.2307/41410402 – volume: 26 start-page: 332 issue: 4 year: 2009 ident: 317_CR33 publication-title: Int J Res Market doi: 10.1016/j.ijresmar.2009.08.001 – ident: 317_CR40 – ident: 317_CR13 doi: 10.1007/978-3-540-32827-8_2 – ident: 317_CR34 – ident: 317_CR52 doi: 10.1007/978-94-009-5079-5_11 – volume: 52 start-page: 317 issue: 3 year: 1987 ident: 317_CR2 publication-title: Psychometrika doi: 10.1007/BF02294359 – volume: 24 start-page: 439 issue: 5 year: 2008 ident: 317_CR15 publication-title: Appl Stoch Models Bus Ind doi: 10.1002/asmb.728 – start-page: 411 volume-title: Research papers in statistics year: 1966 ident: 317_CR47 – volume: 107 start-page: 238 issue: 2 year: 1990 ident: 317_CR6 publication-title: Psychol Bull doi: 10.1037/0033-2909.107.2.238 – ident: 317_CR35 doi: 10.1108/S1548-6435(2010)0000007011 – volume: 22 start-page: 275 issue: 2 year: 2007 ident: 317_CR22 publication-title: Comput Stat doi: 10.1007/s00180-007-0042-3 – volume: 34 start-page: 5 issue: 1 year: 2009 ident: 317_CR41 publication-title: Group Organ Manag doi: 10.1177/1059601108329198 – volume: 37 start-page: 1299 issue: 8 year: 2010 ident: 317_CR38 publication-title: J Appl Stat doi: 10.1080/02664760903030213 – volume: 25 start-page: 173 issue: 2 year: 1990 ident: 317_CR42 publication-title: Multivar Behav Res doi: 10.1207/s15327906mbr2502_4 – volume: 76 start-page: 257 issue: 2 year: 2011 ident: 317_CR43 publication-title: Psychometrika doi: 10.1007/s11336-011-9206-8 – ident: 317_CR53 – start-page: 84 volume-title: Sociological methodology year: 1977 ident: 317_CR46 – volume: 48 start-page: 159 issue: 1 year: 2005 ident: 317_CR45 publication-title: Comput Stat Data Anal doi: 10.1016/j.csda.2004.03.005 – ident: 317_CR21 doi: 10.1007/s11747-011-0261-6 – volume: 14 start-page: 189 issue: 2 year: 2003 ident: 317_CR11 publication-title: Inf Syst Res doi: 10.1287/isre.14.2.189.16018 – ident: 317_CR3 – ident: 317_CR37 – volume: 6 start-page: 1 issue: 1 year: 1999 ident: 317_CR25 publication-title: Struct Equ Model doi: 10.1080/10705519909540118 – volume: 105 start-page: 430 year: 1989 ident: 317_CR31 publication-title: Psychol Bull doi: 10.1037/0033-2909.105.3.430 – volume: 14 start-page: G203 issue: 3 year: 1995 ident: 317_CR18 publication-title: Market Sci doi: 10.1287/mksc.14.3.G203 – volume: 18 start-page: 39 issue: 1 year: 1981 ident: 317_CR20 publication-title: J Market Res doi: 10.2307/3151312 – start-page: 655 volume-title: Handbook of partial least squares: concepts, methods and applications year: 2010 ident: 317_CR9 doi: 10.1007/978-3-540-32827-8_29 – start-page: 151 volume-title: Advanced methods of marketing research year: 1994 ident: 317_CR4 – volume: 19 start-page: 440 issue: 4 year: 1982 ident: 317_CR19 publication-title: J Market Res doi: 10.2307/3151718 – volume: 5 start-page: 67 issue: 1 year: 1974 ident: 317_CR49 publication-title: Eur Econ Rev doi: 10.1016/0014-2921(74)90008-7
SSID	ssj0022721
Score	2.543473
Snippet	This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of...
SourceID	proquest crossref springer
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	565
SubjectTerms	Algorithms Computation Computational mathematics Computer simulation Correlation analysis Customer satisfaction Economic Theory/Quantitative Economics/Mathematical Methods Estimates Least squares method Mathematical analysis Mathematical models Mathematics and Statistics Original Paper Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Software Statistics Structural equation modeling Studies Variables
SummonAdditionalLinks	– databaseName: SpringerLink Journals (ICM) dbid: U2A link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS8MwFA-il3kQnYrTKRU8KYE2S5PmJEOcQ5gnB7uVtElAGO203f_ve1lbP1DBc_NRXl5efo_38SPkSlnhrNSOCqYl5Y4rmsVKUMm4STS3sXZYnDx7EtM5f1zEi6aOu2qz3duQpLfUXbEb8sdhEhWjoIiSgsuzE6PrDko8Z-POy2LSF1thxhw4R4K1ocyflvj6GH0gzG9BUf_WTPbJXgMSg_HmVA_Ili36ZHfWdVit-qSHKHHTZPmQ3D6UpUGbRUtH3UsdYCAaDEAAiDRYoXLAaktk6Qmq1zVWHAXIRBx4Ghz4gyMyn9w_301pw4xAc8AzNTWjxFimHJc6x0db6SgHHGBcEgkNd8qEmVQavDmhmGa5NizTQocOJiQ6zt3omGwXZWFPSOCMVLEPuIiQc2aSLB_ZUAp_tjZ2AxK2Ikrzpm04slcs067hsZdqClJNUappNCDX3ZTVpmfGX4OHrdzT5vpUaQSGAanvQjEgl91nUHyMZujClmscwxWWDctkQG7a8_q0xG8bnv5r9BnpMU-Agbk6Q7Jdv63tOcCQOrvwavcOtgPScw priority: 102 providerName: Springer Nature
Title	Goodness-of-fit indices for partial least squares path modeling
URI	https://link.springer.com/article/10.1007/s00180-012-0317-1 https://www.proquest.com/docview/1319497806 https://www.proquest.com/docview/1349439178
Volume	28
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
link	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dT9swED8BfWEP08ZA68aqIPEEskhcxx9PqKvaoiEQmlYJniIntiUk1JS1_f935yZhTBoveUj8Ed2dz3e-8_0ATo2XwSsbmORWMRGEYWVuJFNcOG2Fz22gy8k3t_JqLn7c5_fNgduqSatsdWJU1K6u6Iz8IkNZITS0VF4unxmhRlF0tYHQ2IUeqmCNzlfv--T27mfncnEVb15R-hx6SpK3cc00lhHNNCVlcYaCrVj2emd6MTf_iZDGjWf6Ad43FmMy2rL4I-z4xQG8u-nKra4OYJ9Mxm3F5U9wOatrRwqM1YGFx3VCUWnUBgmap8mSJAVHeyLInmT1vKHrRwnBEicREwf_4BDm08mv8RVrYBJYhcbNmrmhdp6bIJStaAc3NqvQKHBBZ9LiAnNpqYxF104abnllHS-ttGnADtrmVRgewd6iXvjPkASnTB6jLzIVgjtdVkOfKhkZ7fPQh7QlUVE1NcQJyuKp6KofR6oWSNWCqFpkfTjruiy3BTTeanzc0r1o1tKqeOF8H066z7gKKLRhF77eUBth6A6x0n04b_n11xD_m_DL2xN-hX0e4S8oU-cY9ta_N_4bGiHrcgC7epzRczobQG80e7ieDBrpw7djOcbnnI_-AH8g3JM
linkProvider	ProQuest
linkToHtml	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LT9wwEB5ReigcqpZSsS1QV6KXVlYTx7HjA0IVsCyP5QQSt9SJbQkJbZburhB_qr-xM95NaCvBjXMcOxp_Mx5nHh_AjvEqeG0DV8JqLoM0vMqN4lpIV1jpcxuoOHl4rgaX8uQqv1qC320tDKVVtjYxGmrX1PSP_HuKWCE2tETtjW85sUZRdLWl0JjD4tTf3-GVbbJ7fID7-0WI_uHF_oAvWAV4jb7AlLuscF6YILWt6cAzNq3xDHWhSJVFPLqk0sbiTUgZYUVtnaissknAFwqb1yHDeV_AS5llhjSq6B91FzyhY50XJevhvUyJNoqaxKalaUEpYIKjGmme_nsOPji3_8Vj4zHXfwOvF_4p-zEH1FtY8qM1WB12zV0na7BCDuq8v_M72DtqGkfmkjeBh-spoxg42h6GzjAbEy5xthsiCGKT2xkVOzEiQWaRgQe_YB0un0V872F51Iz8BrDgtMljrEclUgpXVHXmE60irHweepC0IirrRcdyIs64Kbtey1GqJUq1JKmWaQ--dq-M5-06nhq82cq9XGjupHzAWQ8-d49R5yiQYke-mdEYaahiWRc9-Nbu119TPLbgh6cX_ASvBhfDs_Ls-Pz0I6yISLxBOUKbsDz9NfNb6P5Mq-2IOQY_nxvkfwA4jBN_
linkToPdf	http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3fb9MwED6NIaHxgKCA1jHAk-CFyVriOnb8gCa0UbaVTTxs0t6CE9vSpKrpaKuJf42_jjs3SQGJvfU5jh2dP9-dcz8-gHfGq-C1DVwJq7kM0vAyM4prIV1upc9soOLk8wt1ciXPrrPrDfjV1sJQWmWrE6OidnVF_8gPUsQKsaEl6iA0aRHfjoeH01tODFIUaW3pNJYQGfmfd3h9m308Pca9fi_E8PPl0QlvGAZ4hX7BnLtB7rwwQWpbkfEzNq3QnrqQp8oiNl1SamPxVqSMsKKyTpRW2STgC7nNqjDAeR_AQz1AO0tV6kddeokQOtZ8UeIe3tGUaCOqSWxgmuaUDiY4HinN079t4srR_Sc2G03e8Ck8aXxV9mkJrmew4Sc9eHzeNXqd9WCLnNVlr-fncPilrh2pTl4HHm7mjOLhqIcYOsZsShjF2cZEFsRmtwsqfGJEiMwiGw9-wQu4Wov4XsLmpJ74bWDBaZPFuI9KpBQuL6uBT7SKEPNZ6EPSiqiomu7lRKIxLrq-y1GqBUq1IKkWaR8-dK9Ml6077hu828q9aE7xrFhhrg973WM8fxRUsRNfL2iMNFS9rPM-7Lf79ccU_1tw5_4F38IjhHfx9fRi9Aq2ROTgoHShXdic_1j41-gJzcs3EXIMvq8b478Bu74XgA
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Goodness-of-fit+indices+for+partial+least+squares+path+modeling&rft.jtitle=Computational+statistics&rft.au=Henseler%2C+Jorg&rft.au=Sarstedt%2C+Marko&rft.date=2013-04-01&rft.issn=0943-4062&rft.eissn=1613-9658&rft.volume=28&rft.issue=2&rft.spage=565&rft.epage=580&rft_id=info:doi/10.1007%2Fs00180-012-0317-1&rft.externalDBID=NO_FULL_TEXT
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0943-4062&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0943-4062&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0943-4062&client=summon