Investigating the impact of Consumer’s Involvement, Risk-taking Personality, Internet Self-Efficacy, Life Style and Privacy Concern on Online Purchase Intention and Shopping Adoption

Wisal Ahmad, Saman Attiq, Ariba Ahmad, Aqsa Ilyas, Khadija Kulsoom, Wisal Ahmad

Abstract


The purpose of this paper is to study the impact of consumer’s psychological traits, lifestyle and privacy concern on online purchase intention. The core issue is ‘to what extent consumer’s involvement, risk-taking personality, internet self-efficacy, life style and privacy concern determines online purchase intention and online shopping adoption’. In causal study design, 590 consumers with convenience sampling technique is used through structured questionnaire. Data analysis undertaken through SEM indicates a significant relation of lifestyle with involvement, risk-taking personality, internet self-efficacy and privacy concern. Whereas, online purchase intention holds significant relationship with internet self-efficacy, lifestyle and online shopping adoption, no significant relationship was proved between involvement, risk-taking personality and privacy concern. E-retailers should focus on building satisfaction in the potential and existing customers by investing in strategies to overcome the perceived risk of online-shopping.


Keywords


Online shopping adoption, Online purchase intention, Privacy concern, Involvement, Risk-taking personality, Lifestyle

References


Adapa, S. (2008). Adoption of Internet Shopping: Cultural Considerations in India and Australia. Journal of Internet Banking and Commerce, 13(2).1-17.

Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888-918.

Cai, Y., & Cude, B. J. (2012). Consumers’ Adoption of Online Shopping. Encyclopedia of Cyber Behavior, 466-469.

Chai, S., Das, S., & Rao, H. R. (2011). Factors affecting bloggers' knowledge sharing: an investigation across gender. Journal of Management Information Systems, 28(3), 309-341.

Chan, V. K., Lei, C., Leong, S. U., Ng, S. K., & Wong, K. U. (2016). On How Social Networking Sites Affect Online Consumer Purchase Intention

Chang, Y. P., Dong, X. B., & Sun, W. (2014). Influence of characteristics of the Internet of Things on consumer purchase intention. Social Behavior and Personality: An International Journal, 42(2), 321–330

Chen, R., & Sharma, S. K. (2013). Understanding member use of social networking sites: a value analysis. Communications of the Association for Information Systems, 33, 97-114

Chiu, C. M., Wang, E. T. G., Fang, Y. H., & Huang, H. Y. (2012). Understanding customers’ repeat purchase intentions in b2c e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114.

Clemes, D. M., Gan, C., & Zhang, J. (2014). An empirical analysis of online shopping adoption in Beijing, China. Journal of Retailing and Consumer Services, 21, 364–375.

Close, G. A., & Kinney, K. M. (2010). Beyond buying: Motivations behind consumers' online shopping cart use. Journal of Business Research, 63, 986–992.

Dash, S., & Saji, K. B. (2007). The Role of Consumer Self-Efficacy and Website Social-Presence in Customers' Adoption of B2C Online Shopping. Journal of International Consumer Marketing, 20, 33-48.

Echo, H. (2012). Online experiences and virtual goods purchase intention. Internet Research, 22(3), 252-274.

Eric, J. H., Mary, A. M., Katherine, E. S., & Shauna N. (2014). Correlating Self-Efficacy and Lifestyle with Quality of Life among Adolescent Mothers. Journal of Occupational Therapy, Schools & Early Intervention, 7, 3-4.

Faqih, K.M. (2013). Exploring the Influence of Perceived Risk and Internet Self-Efficacy on Consumer Online Shopping Intentions: Perspective of Technology Acceptance Model. Academic Journal Article, 9(1), 67-77.

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18, 382-388.

Gerben, N. (2015). Living dangerously. Disaster Prevention and Management, 24(4), 523-538.

Gurjeet, K., & Tahira, K.Q. (2015). Factors obstructing intentions to trust and purchase products online. Asia Pacific Journal of Marketing and Logistics, 27(5), 758-783.

Hassan, S.H., Ramayah, T., Mohamed, O., & Maghsoudi, A, (2015). E-Lifestyle Conceptualization: Measurement Model Validation Using Variance Based Structural Equation Modeling (SEM-PLS). Modern Applied Science, 9(2).307-319.

Heijden H. V., Verhagen T., & Creemers M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41-48

Hill, W.W., & Beatty, S. E. (2011), A model of adolescents, online consumer self-efficacy (OCSE). Journal of Business Research, 64(10), 1025-1033.

Hong, J. C., Hwang, M. Y., Szeto, E., Tsai, C. R., Kuo, Y. C., & Hsu, W. Y. (2016). Internet cognitive failure relevant to self-efficacy, learning interest, and satisfaction with social media learning. Computers in Human Behavior, 55, 214-222.

Hopp, T., & Gangadharbatla, H. (2016). Examination of the factors that influence the technological adoption intentions of tomorrow’s new media producers: A longitudinal exploration. Computers in Human Behavior, 55, 1117-1124.

Hsu, C.-L., & Lin, C.-C. (2016). An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Computers in Human Behavior, 62, 516–527

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.

Hyang, S. K. (2015). What drives you to check in on Facebook? Motivations, privacy concerns, and mobile phone involvement for location-based information sharing. Computers in Human Behavior, 54, 397-406.

Kim, D.J., Cho, B., & Rao, H. R. (2000). Effects of consumer lifestyles on purchasing behavior on the internet: a conceptual framework and empirical validation: Proceedings of the 21stInternational Conference on Information Systems, 688-695.

Kim, K. J., & Shin, D.-H. (2015). An acceptance model for smart watches: Implications for the adoption of future wearable technology. Internet Research, 25(4), 527–541

Korzaan, M.L., & K. T. Boswell. (2008). The influence of personality traits and information privacy concerns on behavioral intentions. Journal of Computer Information Systems, 48(4), 15–24.

Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online customer behavior. Information Systems Research, 13(2), 205–223.

Kumar, M. & Shanthi, S. (2016). Consumer Behavior towards Online Marketing. International Journal of Applied Research, 2(5), 859-863.

Lim, Y.J, Osman, A., Salahuddin, S.N., Romle, A.R. & Abdullah,S. (2016). Factors Influencing Online Shopping Behavior: The Mediating Role of Purchase Intention. Precedia Economics and Finance, 35, 401-410.

Liu, C., & Forsythe, S. (2011). Examining drivers of online purchase intensity: Moderating role of adoption duration in sustaining post-adoption online shopping, Journal of Retailing and Consumer Services, 18, 101–109.

Mamoun N. Akroush, & Mutaz M. Al-Debei. (2015),"An integrated model of factors affecting consumer attitudes towards online shopping", Business Process Management Journal, 21(6), 1-26.

Mani, Z., & Chouk, I. (2016). Drivers of consumers’ resistance to smart products. Journal of Marketing Management, 1, 1-22.

Martin, H.S., & Herrero, A. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33, 341-350.

Martin, K. D., & Murphy, P. E. (2016). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 1-21

Mastercard Worldwide Insights. (2008). Online shopping in Asia-Pacific – patterns, trends and future growth, 1-2.

Meskaran, F., Ismail, Z., & Shanmugam, B. (2013). Online purchase intention: Effects of and security perception. Australian journal of basic and applied sciences, 7(6), 307-315.

Milne, George R. and Mary J. Culnan. (2004). Strategies for Reducing Online Privacy Risks: Why Consumers Read (Or Don’t Read) Online Privacy Notices. Journal of Interactive Marketing, 18(3), 15–29.

Nielsen (2008). Nielsen reports 875 million consumers have shopped online, available at: www.nielsenmedia.com/nc/portal/site/Public/menuitem.55dc65b4a7d5adff3f65936147a062a0/.

Nigg, J. T., & Nagel, B. J. (2016). Commentary: Risk taking, impulsivity, and externalizing problems in adolescent development–commentary on Crone et al. 2016. Journal of child psychology and psychiatry, 57(3), 369-370.

Norzieiriani Ahmad, Azizah Omar, T. & Ramayah, (2010). Consumer lifestyles and online shopping continuance intention, Business Strategy Series, 11(4), 227-243.

Nuri Çalik, N. Figen Ersoy (2016). Consumer Risk Perceptions On The Purchases of Shopping Goods– A Field Study In Ankara, Turkey. International Journal of Social Sciences, 5(4), 19-43

O’Cass,A., & Fenech, T. (2003). Web retailing adoption: Exploring the future of Internet user’s web retailing behavior. Journal of Retailing and Consumer Services, 10(2), 81–94.

Pappas, I., Giannakos, M.N., Pateli, A., & Chrissikopoulos, V. (2011), Online purchase intention: investigating the effect of the level of customer perceptions on adoption, IADIS international conference e-society, 456-460.

Park, D.H.,Lee, J., & Han,I. (2007). The Effect of On-line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement. International Journal of Electronic Commerce, 11(4), 125-148.

Parka, M.S., Shin, J.K., & Ju,Y. (2014). Social networking atmosphere and online retailing. Journal of Global Scholars of Marketing Science: Bridging Asia and the World, 24(1), 89-107

Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.

Preibusch, S. (2013). Guide to measuring privacy concern: review of survey and observational instruments. International Journal of Human-Computer Studies, 71(12), 1133-1143.

Sack, H.G. (1988). The Relationship between Sport Involvement and Life-style in Youth Cultures. International Review for the Sociology of Sport, 23(3), 213-232.

Schneider, K.C., & Rodgers, W.C. (1996). An importance subscale for the consumer involvement profile. Advances-in-Consumer-Research, 23, 249-254.

Setiadi, Nugroho.J. (2008). Perilaku Konsumen. Jakarta: Kencana Prenada Media Grup

Smith, J.H., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals’ concerns about organizational practices. MIS Quarterly, 29(2), 167–196.

Sol, B. G., Graaf, Y. V., Petersen, R. V., & Visseren, F. L. (2010). The Effect of Self-Efficacy on Cardiovascular Lifestyle. European Journal of Cardiovascular Nurse, 10(3), 180-186.

Steenkamp, Jan-Benedict E.M. and Baumgartner,H. (1992). The Role of Optimum Stimulation Level in Exploratory Consumer Behavior. Journal of Consumer Research, 19, 434-48.

Suki, N.B.M., Ahmad M.I., & Thyagarajan, V. (2002). Motivation and concern factors for internet shopping: A Malaysian perspective. The Electronic Journal for Ecommerce Tools and Applications, 1, 1–18.

Swinyard, W.R., & Smith, S.M. (2003). Why people don’t shop online: a lifetyle study of the internet consumer. Psychology & Marketing, 20(7), 567-597.

Teng, C. C., & Lu, C. H. (2016). Organic food consumption in Taiwan: Motives, involvement, and purchase intention under the moderating role of uncertainty. Appetite, 105, 95-105.

Thakur, R., & Srivastava, M. (2015) "A study on the impact of consumer risk perception and innovativeness on online shopping in India", International Journal of Retail & Distribution Management, 43(2), 148-166

Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003). User acceptance of information technology: toward a unified view, MIS Quarterly, 27(3), 425-478.

Wang, Y., Min, Q., & Han, S. (2016). Understanding the effects of trust and risk on individual behavior toward social media platforms: A meta-analysis of the empirical evidence. Computers in Human Behavior, 56, 34-44.

Warayuanti, W., & Suyanto, A. M. A. (2015). The Influence of Lifestyles and Consumers Attitudes on Product Purchasing Decision via Online Shopping In Indonesia. European Journal of Business and Management, 7(8), 74-80.

Wu, I., (2013). The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust. International Journal of Information Management, 33(1), 166–176.

Wu, W. Y., & Ke, C. C. (2016). An online shopping behavior model integrating personality traits, perceived risk, and technology acceptance. Social Behavior and Personality: an international journal, 44(3), 85-97.

Zaichkowsky, J.L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341–352.

Zaidi, S. D. A., Gondal, B. J., & Yasmin, A. (2014). Antecedents of Online Shopping Intention: A Study held in Pakistan. Journal of Sociological Research, 5(1), 231-247

Zhang, J. (2011). An Empirical analysis of online shopping adoption in China (Doctoral dissertation, Lincoln University).

Zhang, Z. K. K., Cheung, M. K. C., & Lee, K. O. M. (2014). Examining the moderating effect of inconsistent reviews and its gender differences on consumers’ online shopping decision. International Journal of Information Management, 34, 89–98.




DOI: http://dx.doi.org/10.22555/pbr.v20i3.2315

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