Investigation of moderator factors in e-business adoption: A quantitative meta-analysis of moderating effects on the drivers of intention and behavior
Computer Science and Information Systems, Tome 14 (2017) no. 1

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E-business technology is becoming one of the most important global markets where e-business solutions will have to adapt to new technologies. The main objective in this study was to synthesize existing knowledge in the field of e-business technology acceptance and to understand differences in Technology Acceptance Model (TAM) related causal effect sizes for different e-business contexts. A quantitative meta-analysis of existing empirical research about factors affecting e-business adoption was conducted using 89 published papers that provided empirical data about causal relationships. A moderator analysis was carried out to investigate the moderating effect of four factors: consumer type, device type, continent and respondent type. The results of the study showed a moderating effect for all four proposed factors in almost all TAM-related causal paths. The study also showed that TAM is the most common theory being applied in e-business adoption research.
Keywords: e-business acceptance; meta-analysis; moderator factors analysis; TAM; UTAUT; B2C; B2B
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     author = {Bo\v{s}tjan \v{S}umak and Marjan Heri\v{c}ko and Zoran Budimac and Maja Pu\v{s}nik},
     title = {Investigation of moderator factors in e-business adoption: {A} quantitative meta-analysis of moderating effects on the drivers of intention and behavior},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {14},
     number = {1},
     year = {2017},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2017_14_1_a5/}
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Boštjan Šumak; Marjan Heričko; Zoran Budimac; Maja Pušnik. Investigation of moderator factors in e-business adoption: A quantitative meta-analysis of moderating effects on the drivers of intention and behavior. Computer Science and Information Systems, Tome 14 (2017) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2017_14_1_a5/