The Mediation Effect of Online Shopping Habits on Personality Traits and Intention to Recommend; the Covid-19 Effect
The coronavirus disease (COVID-19) has transformed conventional buying to online shopping habits. Despite the importance of customers’ future behaviour, insufficient studies have highlighted the role of online shopping habits on the intention to recommend. The study investigated how the Big Five Personality Traits (BFPT) influence online shopping habits, the relationship between habit and intention to recommend, and the habit as a mediator by applying the convenience sampling method. A total of 347 usable data were collected online and analysed using structural equation modelling with the Smart Partial Least Squares (Smart PLS) software. The study found that agreeableness, conscientiousness, extraversion, and neuroticism positively affect online shopping habits, but not openness. Furthermore, online shopping habits positively impact the intention to recommend and mediate the relationship between the BFPT and the intention to recommend. The study also provides valuable information for conventional stores and online platform managers to develop marketing strategies to retain and attract new customers. Moreover, the study discussed the limitations and future research recommendations.
Aguinis, H., Edwards, J. R., & Bradley, K. J. (2017). Improving Our Understanding of Moderation and Mediation in Strategic Management Research. Organizational Research Methods, 20(4), 665-685. https://doi.org/10.1177/1094428115627498
Akbar, Y. H., & Tracogna, A. (2018). The sharing economy and the future of the hotel industry: Transaction cost theory and platform economics. International Journal of Hospitality Management, 71, 91-101. https://doi.org/10.1016/j.ijhm.2017.12.004
Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411
Ashraf, M., Ahmad, J., Sharif, W., Raza, A. A., Salman Shabbir, M., Abbas, M., & Thurasamy, R. (2020). The role of continuous trust in usage of online product recommendations. Online Information Review, 44(4), 745-766. https://doi.org/10.1108/OIR-05-2018-0156
Awais, M., Samin, T., Gulzar, M. A., Hwang, J., & Zubair, M. (2020). Unfolding the association between the big five, frugality, e-mavenism, and sustainable consumption behavior. Sustainability (Switzerland), 12(2). https://doi.org/10.3390/su12020490
Bosnjak, M., Galesic, M., & Tuten, T. (2007). Personality determinants of online shopping: Explaining online purchase intentions using a hierarchical approach. Journal of Business Research, 60(6), 597-605. https://doi.org/10.1016/j.jbusres.2006.06.008
Chen, Y., Lu, Y., Wang, B., & Pan, Z. (2019). How do product recommendations affect impulse buying? An empirical study on WeChat social commerce. Information and Management, 56(2), 236-248. https://doi.org/10.1016/j.im.2018.09.002
Cheng, Y., Sharma, S., Sharma, P., & Kulathunga, K. M. M. C. B. (2020). Role of personalization in continuous use intention of mobile news apps in India: Extending the UTAUT2 model. Information (Switzerland), 11(1). https://doi.org/10.3390/info11010033
Cichosz, M., Wallenburg, C. M., & Knemeyer, A. M. (2020). Digital transformation at logistics service providers: barriers, success factors and leading practices. International Journal of Logistics Management, 31(2), 209-238. https://doi.org/10.1108/IJLM-08-2019-0229
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 431-447. https://doi.org/10.1108/IntR-12-2017-0515
Gefen, Rigdon, Straub, Gefen, D., Rigdon, E. E., & Straub, D. (2011). An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly, 35(2), iii-A7. https://doi.org/10.1016/j.lrp.2013.01.001
Goldsmith, R. (2016). The Big Five, happiness, and shopping. Journal of Retailing and Consumer Services, 31, 52-61. https://doi.org/10.1016/j.jretconser.2016.03.007
Green, S. B. (1991). No Title. Multivariate Behavioral Research, 26(3), 499-510. https://doi.org/10.1207/s15327906mbr2603_7
Hafaz Ngah, A., Jeevan, J., Haqimin, N., Salleh, M., Tae, T., Lee, H., Marsila, S., & Ruslan, M. (2020). Willingness to Pay for Halal Transportation Cost: The Moderating Effect of knowledge on the Theory of Planned Behavior. Journal of Environmental Treatment Techniques, 2020(1), 13-22. http://www.jett.dormaj.com
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(3), 442-458. https://doi.org/10.1108/IMDS-04-2016-0130
Hair Jr., J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123. https://doi.org/10.1504/IJMDA.2017.10008574
Halimi, M. F., Gabarre, S., Rahi, S., Al-Gasawneh, J. A., & Ngah, A. H. (2021). Modelling Muslims' revisit intention of non-halal certified restaurants in Malaysia. Journal of Islamic Marketing, Preprint. https://doi.org/DOI (10.1108/JIMA-01-2021-0014) https://doi.org/10.1108/JIMA-01-2021-0014
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hossain, M. A., & Rahman, S. (2019). Investigating the Success of OGB in China: The Influence of Personality Traits. Information Systems Frontiers. https://doi.org/10.1007/s10796-019-09968-0
Huang, J. H., & Yang, Y. C. (2010). The relationship between personality traits and online shopping motivations. Social Behavior and Personality, 38(5), 673-680. https://doi.org/10.2224/sbp.2010.38.5.673
Hulland, J., Baumgartner, H., & Smith, K. M. (2017). Marketing survey research best practices: evidence and recommendations from a review of JAMS articles. Journal of the Academy of Marketing Science, 46(1), 92-108. https://doi.org/10.1007/s11747-017-0532-y
Huseynov, F. (2020). Understanding Usage Behavior of Different Mobile Application Categories Based on Personality Traits. Interacting with Computers. https://doi.org/10.1093/iwc/iwaa005
Idris, A. N. (2021). Online retail sales almost doubled during pandemic, says BNM. https://www.theedgemarkets.com/article/online-retail-sales-almost-doubled-during-pandemic-says-bnm
Ishiguro, I. (2016). Extroversion and neuroticism affect the right side of the distribution of network size. Social Networks, 44, 219-225. https://doi.org/10.1016/j.socnet.2015.10.004
John, O. P., & Srivastava, S. (1999). The Big Five: History, Measurement, & Development.; Handbook of Personality: Theory & Research (O. P. Pervin, L. A., John (ed.)). Guilford Press.
Kaur, P., Dhir, A., Bodhi, R., Singh, T., & Almotairi, M. (2020). Why do people use and recommend m-wallets? Journal of Retailing and Consumer Services, 56. https://doi.org/10.1016/j.jretconser.2020.102091
Ketchen, D. J. (2013). A Primer on Partial Least Squares Structural Equation Modeling. Long Range Planning, 46(1-2), 184-185. https://doi.org/10.1016/j.lrp.2013.01.002
Kock, N. (2015). Common Method Bias in PLS-SEM. International Journal of E-Collaboration, 11(4), 1-10. https://doi.org/10.4018/ijec.2015100101
McCrae, R., & Costa, P. (1999). he five factor theory of personality. , Handbook of Personality: Theory and Research (O. P. Pervin, L. A., John (ed.)). Guilford.
Mergelsberg, E. L. P., Mullan, B. A., Allom, V., & Scott, A. (2020). An intervention designed to investigate habit formation in a novel health behaviour. Psychology and Health. https://doi.org/10.1080/08870446.2020.1779272
Murray R. Barrick, & Micheal k.Mount. (1991). The big five personality dimensions and job performance : A Meta analysis. Personnel Psychology, 44, 1-26. https://doi.org/10.1111/j.1744-6570.1991.tb00688.x
Nascimento, B., Oliveira, T., & Tam, C. (2018). Wearable technology: What explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43, 157-169. https://doi.org/10.1016/j.jretconser.2018.03.017
Ngah, A. H., Gabarre, S., Eneizan, B., & Asri, N. (2021). Mediated and moderated model of the willingness to pay for halal transportation. Journal of Islamic Marketing, 12(8), 1425-1445. https://doi.org/10.1108/JIMA-10-2019-0199
Ngah, A. H., Gabarre, S., Han, H., Rahi, S., Al-Gasawneh, J. A., & Park, S. H. (2021). Intention to purchase halal cosmetics: Do males and females differ? a multigroup analysis. Cosmetics, 8(1), 1-14. https://doi.org/10.3390/cosmetics8010019
Ngah, A. H., Rahimi, A. H. M., Gabarre, S., Araya-Castillo, L., Ariza-Montes, A., & Han, H. (2021). Fostering voluntourism satisfaction and future behaviour in island destinations. Sustainability (Switzerland), 13(5), 1-17. https://doi.org/10.3390/su13052767
Ngah, A. H., Ramayah, T., Ali, M. H., & Khan, M. I. (2019). Halal transportation adoption among pharmaceuticals and comestics manufacturers. Journal of Islamic Marketing, 11(6), 1619-1639. https://doi.org/10.1108/JIMA-10-2018-0193
Ngah, A. H., Thurasamy, R., Aziz, N. A., Ali, M. H., & Khan, M. I. (2019). Modelling the adoption of halal warehousing services among halal pharmaceutical and cosmetic manufacturers. Journal of Sustainability Science and Management, 14(6), 103-116.
Ngah, A. H., Thurasamy, R., Mohd Salleh, N. H., Jeevan, J., Md Hanafiah, R., & Eneizan, B. (2021). Halal transportation adoption among food manufacturers in Malaysia: the moderated model of technology, organization and environment (TOE) framework. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-03-2020-0079
Ngah, A. H., Zainuddin, Y., & Thurasamy, R. (2014). Contributing factors of Halal warehouse adoption. Management and Technology in Knowledge, Service, Tourism & Hospitality, 89-94. https://doi.org/10.1201/b16700-20
Ngah, A. H., Zainuddin, Y., & Thurasamy, R. (2015). Barriers and enablers in adopting of Halal warehousing. Journal of Islamic Marketing, 6(3), 354-376. https://doi.org/10.1108/JIMA-03-2014-0027
Nikbin, D., Iranmanesh, M., & Foroughi, B. (2020). Personality traits, psychological well-being, Facebook addiction, health and performance: testing their relationships. Behaviour and Information Technology. https://doi.org/10.1080/0144929X.2020.1722749
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414. https://doi.org/10.1016/j.chb.2016.03.030
Olsen, S. O., Tudoran, A. A., Honkanen, P., & Verplanken, B. (2016). Differences and Similarities between Impulse Buying and Variety Seeking: A Personality-based Perspective. Psychology and Marketing, 33(1), 36-47. https://doi.org/10.1002/mar.20853
Pfeiler, T. M., & Egloff, B. (2018). Examining the "Veggie" personality: Results from a representative German sample. Appetite, 120, 246-255. https://doi.org/10.1016/j.appet.2017.09.005
Pfeiler, T. M., & Egloff, B. (2020). Personality and eating habits revisited: Associations between the big five, food choices, and Body Mass Index in a representative Australian sample. Appetite, 149. https://doi.org/10.1016/j.appet.2020.104607
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. (2012). Sources of Method Bias in Social Science Research and Recommendations on How to Control it. Annual Review of Psychology, 63, 539-569. https://doi.org/10.1146/annurev-psych-120710-100452
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891. http://www.ncbi.nlm.nih.gov/pubmed/18697684 https://doi.org/10.3758/BRM.40.3.879
Rahi, S., Abd. Ghani, M., Alnaser, F. M., & Ngah, A. H. (2018). Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Management Science Letters, 173-186. https://doi.org/10.5267/j.msl.2018.1.001
Ringle, C. M., Wende, S., & Becker, J. M. (2015). "Smart PLS 3." Boenningstedt: SmartPLS GmbH. http://www.smartpls.com
Saeed, M. (2020). Mediation effect of psychological contract between personality dimensions and turnover intention. Journal of Economics, Finance and Administrative Science, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JEFAS-06-2019-0101
San-Martín, S., Jimenez, N., Camarero, C., & San-José, R. (2020). The path between personality, self-efficacy, and shopping regarding games apps. Journal of Theoretical and Applied Electronic Commerce Research, 15(2), 59-75. https://doi.org/10.4067/S0718-18762020000200105
San, O. T. (2021). Take advantage as we record continued growth in e-commerce-NST. New Straits Times. https://www.nst.com.my/opinion/columnists/2021/03/674463/take-advantage-we-record-continued-growth-e-commerce
Schmitt, D. P., Allik, J., McCrae, R. R., Benet-Martínez, V., Alcalay, L., Ault, L., Austers, I., Bennett, K. L., Bianchi, G., Boholst, F., Borg Cunen, M. A., Braeckman, J., Brainerd, E. G., Caral, L. G. A., Caron, G., Martina Casullo, M., Cunningham, M., Daibo, I., De Backer, C., … Sharan, M. B. (2007). The geographic distribution of Big Five personality traits: Patterns and profiles of human self-description across 56 nations. Journal of Cross-Cultural Psychology, 38(2), 173-212. https://doi.org/10.1177/0022022106297299
Selyukh, A. (n.d.). Selyukh-2020-Amazon To Hire 100,000 Workers To Meet "Surge In Demand" _ NPR. Retrieved February 23, 2022, from https://www.npr.org/2020/03/16/816704442/amazon-to-hire-100-000-workers-to-meet-surge-in-demand
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2323-2347. https://doi.org/10.1108/EJM-02-2019-0189
Talukder, M. S., Chiong, R., Bao, Y., & Hayat Malik, B. (2019). Acceptance and use predictors of fitness wearable technology and intention to recommend: An empirical study. Industrial Management and Data Systems, 119(1), 170-188. https://doi.org/10.1108/IMDS-01-2018-0009
Tuan Mansor, T. M., Mohamad Ariff, A., & Hashim, H. A. (2020). Whistleblowing by auditors: the role of professional commitment and independence commitment. Managerial Auditing Journal. https://doi.org/10.1108/MAJ-11-2019-2484
Urbach, N., & Ahlemann, F. (2010). Structural Equation Modeling in Information Systems Research Using Partial Least Squares (Vol. 11, Issue 2).
Venkatesh, V., Brown, S., & Hoehle, H. (2012). Understanding Technology Adoption in the Household Context : a Comparison of Seven. European Conference on Information Systems, 1-12.
Wolfradt, U., & Pretz, J. E. (2001). Individual differences in creativity: Personality, story writing, and hobbies. European Journal of Personality, 15(4), 297-310. https://doi.org/10.1002/per.409
Worsley, A., Wang, W. C., & Farragher, T. (2016). The associations of vegetable consumption with food mavenism, personal values, food knowledge and demographic factors. Appetite, 97, 29-36. https://doi.org/10.1016/j.appet.2015.11.005
Yasin, M., Porcu, L., Abusharbeh, M. T., & Liébana-Cabanillas, F. (2020). The impact of customer personality and online brand community engagement on intention to forward company and users generated content: palestinian banking industry a case. Economic Research-Ekonomska Istrazivanja , 33(1), 1985-2006. https://doi.org/10.1080/1331677X.2020.1752277
Yazdanpanah, M., & Hosseinlou, M. H. (2017). The role of personality traits through habit and intention on determining future preferences of public transport use. Behavioral Sciences, 7(1). https://doi.org/10.3390/bs7010008
Zurawicki, L. (2010). Neuromarketing: Exploring the Brain of the Consumer. Springer. https://doi.org/10.1007/978-3-540-77829-5
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