Omnichannel Retailing in Light of Psychological Factors: A Mediated Model

References

• Immonen M, Sintonen S. Evolution of technology perceptions over time. Information Tech People. 2015;28(3):589–606. doi:10.1108/ITP-12-2013-0219
   Web of Science ®Google Scholar
• Mishra R, Singh RK, Koles B. Consumer decision-making in omnichannel retailing: literature review and future research agenda. Int J Consum Stud. 2021;45(2):147–174. doi:10.1111/ijcs.12617
   Web of Science ®Google Scholar
• Herhausen D, Binder J, Schoegel M, Herrmann A. Integrating Bricks with Clicks: retailer-Level and Channel-Level Outcomes of Online-Offline Channel Integration. J Retail. 2015;91(2):309–325. doi:10.1016/j.jretai.2014.12.009
   Web of Science ®Google Scholar
• Gallino S, Moreno A. Integration of online and offline channels in retail: the impact of sharing reliable inventory availability information. Manage Sci. 2014;60(6):1434–1451. doi:10.1287/mnsc.2014.1951
   Web of Science ®Google Scholar
• Beck N, Rygl D. Categorization of multiple channel retailing in Multi-, Cross-, and Omni-Channel Retailing for retailers and retailing. J Retail Consum Serv. 2015;27:170–178. doi:10.1016/j.jretconser.2015.08.001
   Web of Science ®Google Scholar
• Levy M, Grewal D. Retailing Management. 11th ed. Mc Graw-Hill Irwin; 2023.
   Google Scholar
• Barbosa J, Casais B. The transformative and evolutionary approach of omnichannel in retail companies: insights from multi-case studies in Portugal. Int J Retail Distrib Manag. 2022;50(7):799–815. doi:10.1108/IJRDM-12-2020-0498
   Web of Science ®Google Scholar
• Thaichon P, Quach S, Barari M, Nguyen TM. Exploring the Role of Omni-Channel Retailing Technologies: empirical Insights and Future Research Directions. Australas Mark J. 2023. doi:10.1177/14413582231167664
   Web of Science ®Google Scholar
• Verhoef PC, Kannan PK, Inman JJ. From Multi-Channel Retailing to Omni-Channel Retailing. Introduction to the Special Issue on Multi-Channel Retailing. J Retail. 2015;91(2):174–181. doi:10.1016/j.jretai.2015.02.005
   Web of Science ®Google Scholar
• Leroi-Werelds S, Streukens S, Brady MK, Swinnen G. Assessing the value of commonly used methods for measuring customer value: a multi-setting empirical study. J Acad Marking Sci. 2014;42(4):430–451. doi:10.1007/s11747-013-0363-4
   Web of Science ®Google Scholar
• Kumar V, Reinartz W. Creating enduring customer value. J Mark. 2016;80(6):36–68. doi:10.1509/jm.15.0414
   Web of Science ®Google Scholar
• Ailawadi KL, Farris PW. Managing Multi- and Omni-Channel Distribution: metrics and Research Directions. J Retail. 2017;93(1):120–135. doi:10.1016/j.jretai.2016.12.003
   Web of Science ®Google Scholar
• Rangaswamy A, Bruggen GH. Opportunities and challenges in multichannel marketing: an introduction to the special issue. J Interact Mark. 2005;19(2):5–11.
   Google Scholar
• Silva SC, Martins CC, Sousa JM. Omnichannel approach: factors affecting consumer acceptance. J Mark Channels. 2018;25(1–2):73–84. doi:10.1080/1046669x.2019.1647910
   Web of Science ®Google Scholar
• Geyskens I, Gielens K, Dekimpe MG. The Market Valuation of Internet Channel Additions. J Mark. 2002;66:102–119.
   Web of Science ®Google Scholar
• Brynjolfsson E, Hu JY, Rahman MS. competing in the age of omnichannel retailing. MIT Sloan Manag Rev. 2013;1–9.
   Web of Science ®Google Scholar
• Tueanrat Y, Papagiannidis S, Alamanos E. A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing. J Retail Consum Serv. 2021;61. doi:10.1016/j.jretconser.2021.102550
   Web of Science ®Google Scholar
• Prabhuram T, Rajmohan M, Tan Y, Robert Johnson R. Performance evaluation of Omni channel distribution network configurations using multi criteria decision making techniques. Ann Oper Res. 2020;288(1):435–456. doi:10.1007/s10479-020-03533-8
   Web of Science ®Google Scholar
• Sopadjieva E, Dholakia UM, Benjamin B. A Study of 46,000 Shoppers Shows That Omnichannel Retailing Works. Harv Bus Rev. 2017;3(2016):1–2.
   Google Scholar
• Cameron N. Omni-Channel a Bright Spark in Myer’s Mixed Full-Year Results. CMO. 2017;13:2019.
   Google Scholar
• Deloitte. 2017 Pre-Thanksgiving Pulse Survey; 2017.
   Google Scholar
• Malhotra G, Srivastava H. Green purchase intention in omnichannel retailing: role of environmental knowledge and price sensitivity. J Strateg Mark. 2023;1–24. doi:10.1080/0965254X.2023.2241464
   Web of Science ®Google Scholar
• V12. 25 Amazing Omnichannel Statistics for Marketers |. Available from: https://porchgroupmedia.com/blog/25-amazing-omnichannel-statistics-every-marketer-should-know/. Accessed December 14, 2023.
   Google Scholar
• Hajdas M, Radomska J, Silva SC. The Omni-Channel Approach: A Utopia for Companies? Vol. 65. Elsevier Ltd;2022. doi:10.1016/j.jretconser.2020.102131
   Google Scholar
• Hansen R, Kien SS. Hummel’s Digital Transformation Toward Omnichannel Retailing: key Lessons Learned. MIS Q Exec. 2015;14(2):56.
   Web of Science ®Google Scholar
• Galipoglu E, Kotzab H, Teller C, Yumurtaci Hüseyinoglu IÖ, Pöppelbuß J. Omni-channel retailing research – state of the art and intellectual foundation. Int J Phys Distrib Logist Manag. 2018;48(4):365–390. doi:10.1108/IJPDLM-10-2016-0292
   Web of Science ®Google Scholar
• Simone A, Sabbadin E. The New Paradigm of the Omnichannel Retailing: key Drivers, New Challenges and Potential Outcomes Resulting from the Adoption of an Omnichannel Approach. Int J Bus Manag. 2017;13(1):85. doi:10.5539/ijbm.v13n1p85
   Google Scholar
• Kazancoglu I, Aydin H. An investigation of consumers’ purchase intentions towards Omni-channel shopping: a qualitative exploratory study. Int J Retail Distrib Manag. 2018;46(10):959–976. doi:10.1108/IJRDM-04-2018-0074
   Web of Science ®Google Scholar
• Juaneda-Ayensa E, Mosquera A, Murillo YS. Omnichannel customer behavior: key drivers of technology acceptance and use and their effects on purchase intention. Front Psychol. 2016;7(July):1–11. doi:10.3389/fpsyg.2016.01117
   PubMedGoogle Scholar
• Rigby DK. The future of shopping. Harv Bus Rev. 2011;89(12):65–76. doi:10.1007/978-1-349-14797-7
   Web of Science ®Google Scholar
• Kim E. In ‑ store shopping with location ‑ based retail apps: perceived value, consumer response, and the moderating effect of flow. Inf Technol Manag. 2021;22(1):83–97. doi:10.1007/s10799-021-00326-8
   Google Scholar
• Malhotra G, Shaiwalini S. Environmental concern and purchase intention of pre-loved luxury products: a moderated mediation model. Asia Pacific J Mark Logist. 2023. doi:10.1108/APJML-12-2022-1029
   Web of Science ®Google Scholar
• Dholakia UM, Kahn BE, Reeves R, Rindfleisch A, Stewart D, Taylor E. Consumer behavior in a multichannel, multimedia retailing environment. J Interact Mark. 2010;24(2):86–95. doi:10.1016/j.intmar.2010.02.005
   Web of Science ®Google Scholar
• Shen XL, Li YJ, Sun Y, Wang N. Channel integration quality, perceived fluency and omnichannel service usage: the moderating roles of internal and external usage experience. Decis Support Syst. 2018;109:61–73. doi:10.1016/j.dss.2018.01.006
   Web of Science ®Google Scholar
• Shim S, Eastlick MA, Lotz SL, Warrington P. An online prepurchase intentions model: the role of intention to search: best Overall Paper Award - The Sixth Triennial AMS/ACRA Retailing Conference, 2000. J Retail. 2001;77(3):397–416. doi:10.1016/S0022-4359(01)00051-3
   Web of Science ®Google Scholar
• Bolduc H, Kinnally W. Examining the Impact of Social Identification with Music on Music Streaming Behavior. J Radio Audio Media. 2018;25(1):42–61. doi:10.1080/19376529.2017.1362893
   Web of Science ®Google Scholar
• Davis FD, Bagozzi RP, Warshaw PR. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. J Appl Soc Psychol. 1992;22(14):1111–1132. doi:10.1111/j.1559-1816.1992.tb00945.x
   Web of Science ®Google Scholar
• Lin GY, Wang YS, Wang YM, Lee MH. What drives people’s intention toward live stream broadcasting. Online Inf Rev. 2021;45(7):1268–1289. doi:10.1108/OIR-10-2020-0466
   Web of Science ®Google Scholar
• Chen Y, Dai R, Wang L, Yang S, Li Y, Wei J. Exploring donor’s intention in charitable crowdfunding: intrinsic and extrinsic motivations. Ind Manag Data Syst. 2021;121(7):1664–1683. doi:10.1108/IMDS-11-2020-0631
   Web of Science ®Google Scholar
• Törhönen M, Sjöblom M, Hassan L, Hamari J. Fame and fortune, or just fun? A study on why people create content on video platforms. Internet Res. 2020;30(1):165–190. doi:10.1108/INTR-06-2018-0270
   Web of Science ®Google Scholar
• Amichai-Hamburger Y. Internet and personality. Comput Human Behav. 2002;18(1):1–10. doi:10.1016/S0747-5632(01)00034-6
   Web of Science ®Google Scholar
• Iqbal MK, Raza A, Ahmed F, Faraz NA, Bhutta US. Research on influencing mechanism of big five personality traits on customers online purchase intention: a mediating role of trust. Int J Electron Bus. 2021;16(1):52–76. doi:10.1504/IJEB.2021.112765
   Google Scholar
• Devaraj US, Easley RF, Michael Crant J. How does personality matter? Relating the five-factor model to technology acceptance and use. Inf Syst Res. 2008;19(1):93–105. doi:10.1287/isre.1070.0153
   Web of Science ®Google Scholar
• Landers RN, Lounsbury JW. An investigation of Big Five and narrow personality traits in relation to Internet usage. Comput Human Behav. 2006;22(2):283–293. doi:10.1016/j.chb.2004.06.001
   Web of Science ®Google Scholar
• Picazo-Vela S, Chou SY, Melcher AJ, Pearson JM. Why provide an online review? An extended theory of planned behavior and the role of Big-Five personality traits. Comput Human Behav. 2010;26(4):685–696. doi:10.1016/j.chb.2010.01.005
   Web of Science ®Google Scholar
• Jeng SP, Teng CI. Personality and motivations for playing online games. Soc Behav Pers. 2008;36(8):1053–1060. doi:10.2224/sbp.2008.36.8.1053
   Web of Science ®Google Scholar
• Leong LY, Jaafar NI, Sulaiman A. Understanding impulse purchase in Facebook commerce: does Big Five matter? Internet Res. 2017;27(4):786–818. doi:10.1108/IntR-04-2016-0107
   Web of Science ®Google Scholar
• Chen SH, Lee KP. The role of personality traits and perceived values in persuasion: an elaboration likelihood model perspective on online shopping. Soc Behav Pers. 2008;36(10):1379–1400. doi:10.2224/sbp.2008.36.10.1379
   Web of Science ®Google Scholar
• Costa PT Jr, McCrae RR. Four ways five factors are not basic. Pers Individ Dif. 1992;13(6):667–673. doi:10.1016/0191-8869(92)90237-J
   Web of Science ®Google Scholar
• Korukonda AR. Differences that do matter: a dialectic analysis of individual characteristics and personality dimensions contributing to computer anxiety. Comput Human Behav. 2007;23(4):1921–1942. doi:10.1016/j.chb.2006.02.003
   Web of Science ®Google Scholar
• McCrae RR, John OP. An Introduction to the Five‐Factor Model and Its Applications. J Pers. 1992;60(2):175–215. doi:10.1111/j.1467-6494.1992.tb00970.x
   PubMed Web of Science ®Google Scholar
• Svendsen GB, Johnsen JAK, Almås-Sørensen L, Vittersø J. Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model. Behav Inf Technol. 2013;32(4):323–334. doi:10.1080/0144929X.2011.553740
   Web of Science ®Google Scholar
• Agarwal R, Elena K. Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Q. 2000;24(4):665–694.
   Web of Science ®Google Scholar
• Agarwal R, Prasad J. Are individual differences germane to the acceptance of new information technologies? Decis Sci. 1999;30(2):361–391. doi:10.1111/j.1540-5915.1999.tb01614.x
   Web of Science ®Google Scholar
• Nov O, Ye C. Resistance to Change and the Adoption of Digital Libraries: an Integrative Model Oded. J Am Soc Inf Sci Technol. 2009;60(8):1708–2009. doi:10.1002/asi
   Web of Science ®Google Scholar
• Yi MY, Fiedler KD, Park JS. Understanding the role of individual innovativeness in the acceptance of IT-based innovations: comparative analyses of models and measures. Decis Sci. 2006;37(3):393–426. doi:10.1111/j.1540-5414.2006.00132.x
   Web of Science ®Google Scholar
• Sreen N, Tandon A, Jabeen F, Srivastava S, Dhir A. The interplay of personality traits and motivation in leisure travel decision-making during the pandemic. Tour Manag Perspect. 2023;46(2021):101095. doi:10.1016/j.tmp.2023.101095
   PubMedGoogle Scholar
• Schönherr L, Thaler J. Personality traits and public service motivation as psychological antecedents of managerial networking. Public Manag Rev. 2023;1–27. doi:10.1080/14719037.2023.2192218
   Web of Science ®Google Scholar
• Manser Payne E, Peltier JW, Barger VA. Omni-channel marketing, integrated marketing communications and consumer engagement: a research agenda. J Res Interact Mark. 2017;11(2):185–197. doi:10.1108/JRIM-08-2016-0091
   Web of Science ®Google Scholar
• Lazaris C, Vrechopoulos A From Multichannel to “Omnichannel” Retailing: review of the Literature and Calls for Research. 2nd Int Conf Contemp Mark Issues, (ICCMI), 18-20 June. 2014; doi:10.13140/2.1.1802.4967.
   Google Scholar
• Ryan RM, Deci EL. Intrinsic and Extrinsic Motivations: classic Definitions and New Directions. Contemp Educ Psychol. 2000;25(1):54–67. doi:10.1006/ceps.1999.1020
   PubMed Web of Science ®Google Scholar
• Cox J, Nguyen T, Kang SM. The Kindness of Strangers? An Investigation into the Interaction of Funder Motivations in Online Crowdfunding Campaigns. Kyklos. 2018;71(2):187–212. doi:10.1111/kykl.12167
   Web of Science ®Google Scholar
• Bagheri A, Chitsazan H, Ebrahimi A. Crowdfunding motivations: a focus on donors’ perspectives. Technol Forecast Soc Change. 2019;146(June):218–232. doi:10.1016/j.techfore.2019.05.002
   Google Scholar
• Wang T, Li Y, Kang M, Zheng H. Exploring individuals’ behavioral intentions toward donation crowdfunding: evidence from China. Ind Manag Data Syst. 2019;119(7):1515–1534. doi:10.1108/IMDS-10-2018-0451
   Web of Science ®Google Scholar
• Deniz A, Erciş A. A review of the relationship between personality traits and perceived risk. Atatürk Univ J Econ Adm Sci. 2008;22(2):301–330.
   Google Scholar
• Özbek V, Alnıaçık Ü, Koc F, Akkılıç ME, Kaş E. The Impact of Personality on Technology Acceptance: a Study on Smart Phone Users. Procedia - Soc Behav Sci. 2014;150:541–551. doi:10.1016/j.sbspro.2014.09.073
   Google Scholar
• Mischel W. Personality and Assessment. 1st ed. Lawrence Erlbaum Associates; 1968. https://psycnet.apa.org/record/2003-00025-000.
   Google Scholar
• Goldberg LR. The Structure of Phenotypic Personality Traits. Am Psychol. 1993;48(1):26–34.
   PubMed Web of Science ®Google Scholar
• Cattell RB. The principal trait clusters for describing personality. Psychol Bull. 1945;42(3):129–161. doi:10.1037/h0060679
   Web of Science ®Google Scholar
• Eysenck HJ. Dimensions of personality: 16, 5 or 3?-Criteria for a taxonomic paradigm. Pers Individ Dif. 1991;12(8):773–790. doi:10.1016/0191-8869(91)90144-Z
   Web of Science ®Google Scholar
• Galton F. The Measurement of Character. Fortnightly Review. 1884;36:179–185. doi:10.1037/11352-058
   Google Scholar
• Allport GW, Odbert HS. Trait-Names: a Psycho-Lexical Study. Psychol Monogr. 1936;47(1):1–36. doi:10.2307/452250
   Google Scholar
• Norman WT. 2800 Personality Trait Descriptors: Normative Operating Characteristics for a University Population. 1967.
   Google Scholar
• Thurstone LL. The vectors of mind. Psychol Rev. 1934;41(1):1–32. doi:10.1037/h0075959
   Google Scholar
• Thurstone LL. The dimensions of temperament. Psychometrika. 1951;16(1):11–20.
   Google Scholar
• Cattell RB. Confirmation and clarification of primary personality factors. Psychometrika. 1947;12(3):197–220. doi:10.1007/BF02289253
   PubMed Web of Science ®Google Scholar
• Fiske DW. Consistency of the factorial structures of personality ratings from different sources. J Abnorm Soc Psychol. 1949;44(3):329–344. doi:10.1037/h0057198
   PubMed Web of Science ®Google Scholar
• Borgatta EF. The structure of personality characteristics. Behav Sci. 1964;9:8–17. doi:10.1007/BF01358190
   Google Scholar
• Goldberg LR. An alternative “description of personality”: the big-five factor structure. J Pers Soc Psychol. 1990;59(6):1216–1229. doi:10.1117/12.642204
   PubMed Web of Science ®Google Scholar
• Digman JM. Personality structure: emergence of the five-factor model. Annu Rev Psychol. 1990;41:417–440.
   Web of Science ®Google Scholar
• Wiggins JS, Pincus AL. Personality: structure & Assessment. Annu Rev Psychol. 1992;43:473–504.
   PubMed Web of Science ®Google Scholar
• Peabody D, Goldberg LR. Some determinants of factor structures from personality-trait descriptors. J Pers Soc Psychol. 1989;57(3):552–567. doi:10.1037//0022-3514.57.3.552
   PubMed Web of Science ®Google Scholar
• Digman JM, Takemoto-Chogk NE. Factors in the natural language of personality: re-analysis, comparison, and interpretation of six major studies. Multivariate Behav Res. 1981;16(2):149–170. doi:10.1207/s15327906mbr1602_2
   PubMed Web of Science ®Google Scholar
• McCrae RR, Costa PT. Validation of the Five-Factor Model of Personality Across Instruments and Observers. J Pers Soc Psychol. 1987;52(1):81–90. doi:10.1037/0022-3514.52.1.81
   PubMed Web of Science ®Google Scholar
• Amichai-Hamburger Y, Vinitzky G. Social network use and personality. Comput Human Behav. 2010;26(6):1289–1295. doi:10.1016/j.chb.2010.03.018
   Web of Science ®Google Scholar
• Ryan T, Xenos S. Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Comput Human Behav. 2011;27(5):1658–1664. doi:10.1016/j.chb.2011.02.004
   Web of Science ®Google Scholar
• Guadagno RE, Okdie BM, Eno CA. Who blogs? Personality predictors of blogging. Comput Human Behav. 2008;24(5):1993–2004. doi:10.1016/j.chb.2007.09.001
   Web of Science ®Google Scholar
• Zhou F, Chen L, Su Q. Understanding the impact of social distance on users’ broadcasting intention on live streaming platforms: a lens of the challenge-hindrance stress perspective. Telemat Informatics. 2019;41(March):46–54. doi:10.1016/j.tele.2019.03.002
   Google Scholar
• Terzis V, Moridis CN, Economides AA. How student’s personality traits affect Computer Based Assessment Acceptance: integrating BFI with CBAAM. Comput Human Behav. 2012;28(5):1985–1996. doi:10.1016/j.chb.2012.05.019
   Web of Science ®Google Scholar
• Judge TA, Bono JE. Five-factor model of personality and transformational leadership. J Appl Psychol. 2000;85(5):751–765. doi:10.1037/0021-9010.85.5.751
   PubMed Web of Science ®Google Scholar
• Nagel M, Jansen PR, Stringer S, et al. Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nat Genet. 2018;50(7):920–927. doi:10.1038/s41588-018-0151-7
   PubMed Web of Science ®Google Scholar
• Mustafa S, Qiao Y, Yan X, Anwar A, Hao T, Rana S. Digital Students’ Satisfaction With and Intention to Use Online Teaching Modes, Role of Big Five Personality Traits. Front Psychol. 2022;13(July):1–14. doi:10.3389/fpsyg.2022.956281
   Google Scholar
• Zhu X, Woo SE, Porter C, Brzezinski M. Pathways to happiness: from personality to social networks and perceived support. Soc Networks. 2013;35(3):382–393. doi:10.1016/j.socnet.2013.04.005
   Web of Science ®Google Scholar
• Rein GL. A reference model for designing effective reputation information systems. J Inf Sci. 2005;31(5):365–380. doi:10.1177/0165551505055401
   Web of Science ®Google Scholar
• Wang YS, Lin HH, Liao YW. Investigating the individual difference antecedents of perceived enjoyment in students’ use of blogging. Br J Educ Technol. 2012;43(1):139–152. doi:10.1111/j.1467-8535.2010.01151.x
   Web of Science ®Google Scholar
• Soltani S, Elkhani N, Ahmad MN, Taghia J The effects of perceived organizational support and personality traits on user involvement. In: Proceedings of the 24th Australasian Conference on Information Systems; 2013.
   Google Scholar
• McCrae RR, Costa PT. Updating Norman’s “Adequate Taxonomy”: intelligence and personality dimensions in natural language and in questionnaires. J Pers Soc Psychol. 1985;49(3):710–721. doi:10.1037/0022-3514.49.3.710
   PubMed Web of Science ®Google Scholar
• Barrick MR, Mount MK. the Big Five Personality Dimensions and Job Performance: a Meta‐Analysis. Pers Psychol. 1991;44(1):1–26. doi:10.1111/j.1744-6570.1991.tb00688.x
   Web of Science ®Google Scholar
• Liao CS, Lee CW. An empirical study of employee job involvement and personality traits: the case of Taiwan. Int J Econ Manag. 2009;3(1):22–36.
   Google Scholar
• Major DA, Turner JE, Fletcher TD. Linking proactive personality and the big five to motivation to learn and development activity. J Appl Psychol. 2006;91(4):927–935. doi:10.1037/0021-9010.91.4.927
   PubMed Web of Science ®Google Scholar
• Stajkovic AD, Bandura A, Locke EA, Lee D, Sergent K. Test of three conceptual models of influence of the big five personality traits and self-efficacy on academic performance: a meta-analytic path-analysis. Pers Individ Dif. 2018;120:238–245. doi:10.1016/j.paid.2017.08.014
   Web of Science ®Google Scholar
• Yoon HS, Barker Steege LM. Development of a quantitative model of the impact of customers’ personality and perceptions on Internet banking use. Comput Human Behav. 2013;29(3):1133–1141. doi:10.1016/j.chb.2012.10.005
   Web of Science ®Google Scholar
• Li Y, Tan CH, Teo HH, Tan BCY. Innovative usage of information technology in Singapore Organizations: do CIO characteristics make a difference? IEEE Trans Eng Manag. 2006;53(2):177–190. doi:10.1109/TEM.2006.872250
   Web of Science ®Google Scholar
• Turkyilmaz CA, Erdem S, Uslu A. The Effects of Personality Traits and Website Quality on Online Impulse Buying. Procedia - Soc Behav Sci. 2015;175:98–105. doi:10.1016/j.sbspro.2015.01.1179
   Google Scholar
• Arnold MJ, Reynolds KE. Hedonic shopping motivations. J Retail. 2003;79(2):77–95. doi:10.1016/S0022-4359(03)00007-1
   Web of Science ®Google Scholar
• Khalid M, Raza A, Mushtaq H, et al. Research on Exploring the Influence of Customer’s Openness to Experience on Online Purchase Intention. J Bus Manag. 2018;20(6):14–18. doi:10.9790/487X-2006021418
   Google Scholar
• Barrick MR, Mount MK, Strauss JP. Conscientiousness and Performance of Sales Representatives: test of the Mediating Effects of Goal Setting. J Appl Psychol. 1993;78(5):715–722. doi:10.1037/0021-9010.78.5.715
   Web of Science ®Google Scholar
• Smidt W, Kammermeyer G, Roux S. Relations between the Big Five personality traits of prospective early childhood pedagogues and their beliefs about the education of preschool children: evidence from a German study. Learn Individ Differ. 2015;37:96–106. doi:10.1016/j.lindif.2014.11.002
   Web of Science ®Google Scholar
• Furnham A, Cheng H. Associations between education, gender, social class personality traits, and religious faith and service attendance in a British cohort. Pers Individ Dif. 2015;86:63–66. doi:10.1016/j.paid.2015.06.014
   Web of Science ®Google Scholar
• Volodina A, Lindner C, Retelsdorf J. Personality traits and basic psychological need satisfaction: their relationship to apprentices’ life satisfaction and their satisfaction with vocational education and training. Int J Educ Res. 2019;93(July):197–209. doi:10.1016/j.ijer.2018.11.003
   Google Scholar
• Wolfinbarger M, Gilly M. Shopping online for freedom, control and fun. Calif Manage Rev. 2001;43(2):34–55.
   Web of Science ®Google Scholar
• Graziano WG, Eisenberg N. Agreeableness: a Dimension Of Personality. Handbook Personality Psychol. 1997;795–824. doi:10.1016/b978-012134645-4/50031-7
   Google Scholar
• Denissen JJA, Penke L. Motivational individual reaction norms underlying the Five-Factor model of personality: first steps towards a theory-based conceptual framework. J Res Pers. 2008;42(5):1285–1302. doi:10.1016/j.jrp.2008.04.002
   Web of Science ®Google Scholar
• Cooper CA, Knotts HG, McCord DM, Johnson A. Taking Personality Seriously: the Five-Factor Model and Public Management. Am Rev Public Adm. 2013;43(4):397–415. doi:10.1177/0275074012446509
   Web of Science ®Google Scholar
• Peterson RS, Smith DB, Martorana PV, Owens PD. The Impact of Chief Executive Officer Personality on Top Management Team Dynamics: one Mechanism by Which Leadership Affects Organizational Performance. J Appl Psychol. 2003;88(5):795–808. doi:10.1037/0021-9010.88.5.795
   PubMed Web of Science ®Google Scholar
• Shipilov A, Labianca G, Kalnysh V, Kalnysh Y. Network-building behavioral tendencies, range, and promotion speed. Soc Networks. 2014;39(1):71–83. doi:10.1016/j.socnet.2014.03.006
   Google Scholar
• Talwar S, Srivastava S, Sakashita M, Islam N, Dhir A. Personality and travel intentions during and after the COVID-19 pandemic: an artificial neural network (ANN) approach. J Bus Res. 2022;142:400–411. doi:10.1016/j.jbusres.2021.12.002
   PubMed Web of Science ®Google Scholar
• Shiner RL, Masten AS. Transactional links between personality and adaptation from childhood through adulthood. J Res Pers. 2002;36(6):580–588. doi:10.1016/S0092-6566(02)00508-1
   Web of Science ®Google Scholar
• Coenen J, Borghans L, Diris R. Personality traits, preferences and educational choices: a focus on STEM. J Econ Psychol. 2021;84:102361.
   Web of Science ®Google Scholar
• Meyer J, Fleckenstein J, Retelsdorf J, Köller O. The relationship of personality traits and different measures of domain-specific achievement in upper secondary education. Learn Individ Differ. 2019;69:45–59. doi:10.1016/j.lindif.2018.11.005
   Web of Science ®Google Scholar
• Sharpe JP, Martin NR, Roth KA. Optimism and the Big Five factors of personality: beyond Neuroticism and Extraversion. Pers Individ Dif. 2011;51(8):946–951. doi:10.1016/j.paid.2011.07.033
   Web of Science ®Google Scholar
• Wolff HG, Kim S. The relationship between networking behaviors and the Big Five personality dimensions. Career Dev Int. 2012;17(1):43–66. doi:10.1108/13620431211201328
   Web of Science ®Google Scholar
• Bryman A, Bell E. Business Research Methods. 3rd ed. Oxford University Press Inc.; 2011.
   Google Scholar
• Gosling SD, Rentfrow PJ, Swann WB. A very brief measure of the Big-Five personality domains. J Res Pers. 2003;37(6):504–528. doi:10.1016/S0092-6566(03)00046-1
   Web of Science ®Google Scholar
• Robin H. What sample size is “enough” in internet survey research. Interpers Comput Technol an Electron J 21st Century. 1998;6(3–4):986.
   Google Scholar
• Yusoff FAM, Yusof RNR, Hussin SR. Halal food supply chain knowledge and purchase intention. Int J Econ Manag. 2015;9(Special Issue):155–172.
   Google Scholar
• Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. 7th. Prentice Hall; 2009. doi:10.3390/polym12123016
   Google Scholar
• Byrne BM. Structural Equation Modeling with AMOS Basic Concepts, Applications, and Programming. 2nd. Taylor & Francis; 2008. doi:10.4324/9780203805534-23
   Google Scholar
• Bagozzi RP, Yi Y. On the Evaluation of Structural Equation Models. J Acad Marking Sci. 1988;16(1):074–094.
   Google Scholar
• Alavi M, Visentin DC, Thapa DK, Hunt GE, Watson R, Cleary M. Chi-square for model fit in confirmatory factor analysis. J Adv Nurs. 2020;76(9):2209–2211. doi:10.1111/jan.14399
   PubMed Web of Science ®Google Scholar
• Silva SC, Martins CC, Sousa JM. Omnichannel approach: factors affecting consumer acceptance. J Mark Channels. 2018;25(1–2):73–84. doi:10.1080/1046669X.2019.1647910
   Web of Science ®Google Scholar
• Zhao Q, Chen C, Cheng HW, Wang JL. Determinants of live streamers’ continuance broadcasting intentions on Twitch: a self-determination theory perspective. Telemat Informatics. 2018;35(2):406–420. doi:10.1016/j.tele.2017.12.018
   Web of Science ®Google Scholar
• Bründl S, Hess T Why do users broadcast? Examining individual motives and social capital on social live streaming platforms. In: Pacific Asia Conference on Information Systems; 2016.
   Google Scholar
• Moslehpour M, Pham VK, Wong WK, Bilgiçli I. e-Purchase Intention of Taiwanese Consumers: sustainable Mediation of Perceived Usefulness and Perceived Ease of Use. Sustain. 2018;10(1). doi:10.3390/su10010234
   Web of Science ®Google Scholar
• Thorbjornsen H, Pedersen PE, Herbjorn N. “This Is Who I Am”: identity Expressiveness and the Theory of Planned Behavior. Psychol Mark. 2007;24(9):763–785. doi:10.1002/mar
   Web of Science ®Google Scholar
• Ahmadi A, Ziapour A, Lebni JY, Mehedi N. Prediction of Academic Motivation Based on Variables of Personality Traits, Academic Self-Efficacy, Academic Alienation and Social Support in Paramedical Students. Community Heal Equity Res Policy. 2023;43(2):195–201. doi:10.1177/0272684X211004948
   PubMedGoogle Scholar
• Conard MA. Aptitude is not enough: how personality and behavior predict academic performance. J Res Pers. 2006;40(3):339–346. doi:10.1016/j.jrp.2004.10.003
   Web of Science ®Google Scholar
• Kalhori RP, Ziapour A, Kianipour N. A study of the relationship between lifestyle and happiness of students at Kermanshah University of Medical Sciences over 2015-2016. Ann Trop Med Public Heal. 2017;10(4):1004–1009. doi:10.4103/ATMPH.ATMPH
   Google Scholar
• Hussain I, Abrar M, Shabbir R. Role of Innovation Diffusion Theory to Investigate The Consumers’ Usage Intention of Omnichannel Retailing. Pakistan J Multidiscip Res. 2023;4(1):93–116.
   Google Scholar
• Fricker RD. Sampling Methods for Online Surveys. SAGE Handb Online Res Methods. 2016;162–183. doi:10.4135/9781473957992.n10
   Google Scholar
• Hofstede G, Bond MH, Luk CL. Individual Perceptions of Organizational Cultures: a Methodological Treatise on Levels of Analysis. Organ Stud. 1993;14(4):483–503. doi:10.1177/017084069301400402
   Web of Science ®Google Scholar
• Hung CL, Chou JCL. Examining the cultural moderation on the acceptance of mobile commerce. Int J Innov Technol Manag. 2014;11(2):1–19. doi:10.1142/S0219877014500102
   Google Scholar