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Unified Theory of Acceptance and Use of Technology model (UTAUT2), which takes into account various aspects of customers’ use of technology to offer deep insights into the dynamics and kinetics of customers’ willingness to deposit digital DNA on social media
Big data has been discussed extensively in existing scholarly works but scant consideration is given to customers’ willingness to generate and leave big data digital footprints on social media, especially in the light of the profusely debated issue of privacy and security. The current paper endeavours to address this gap in the literature by developing a conceptual framework. In doing so, this paper conducts a systematic review of extant literature from 2002 to 2017 to identify and analyse the underlying factors that influence customers’ willingness to leave digital footprints on social media. The findings of this review reveal that personal behaviour (intrinsic psychological dispositions), technological factors (relative advantage and convenience), social influence (social interaction, social ties and social support) and privacy and security (risk, control and trust) are the key factors that influence customers’ willingness to generate and leave big data digital footprints on social media. The conceptual framework presented in this paper advances the scholarship of technology adoption and use and provides useful direction for future empirical research for both academics and practitioners.
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Akar, E., & Topçu, B. (2011). An examination of the factors influencing consumers’ attitudes toward social media marketing. Journal of Internet Commerce, 10(1), 35–67. CrossRef
Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: culture and the acceptance and use of IT. Information Management, 44(8), 681–691. CrossRef
Ali, H. (2011). Exchanging value within individuals’ networks: social support implications for health marketers. Journal of Marketing Management, 27(3/4), 316–335. CrossRef
Al-Jabri, I. M., Sohail, M. S., & Ndubisi, N. O. (2015). Understanding the usage of global social networking sites by Arabs through the lens of uses and gratifications theory. Journal of Service Management, 26(4), 662–680. CrossRef
Baur, A. W. (2017). Harnessing the social web to enhance insights into people’s opinions in business, government and public administration. Information Systems Frontiers, 19(2), 231–251. CrossRef
Belanger, F., Hiller, J. S., & Smith, W. J. (2002). Trustworthiness in electronic commerce: the role of privacy, security, and site attributes. The Journal of Strategic Information Systems, 11(3), 245–270. CrossRef
Bharati, P., Zhang, C., & Chaudhury, A. (2014). Social media assimilation in firms: Investigating the roles of absorptive capacity and institutional pressures. Information Systems Frontiers, 16(2), 257–272. CrossRef
Boyd, D. (2008). Facebook’s Privacy Trainwreck: Exposure, Invasion, and Social Convergence. Convergence. The International Journal of Research into new Media Technologies, 14(1), 13–20. CrossRef
Burgess, S., Sellitto, C., Cox, C., & Buultjens, J. (2011). Trust perceptions of online travel information by different content creators: Some social and legal implications. Information Systems Frontiers, 13(2), 221–235. CrossRef
Campbell, C., Ferraro, C., & Sands, S. (2014). Segmenting consumer reactions to social network marketing. European Journal of Marketing, 48(3/4), 432–452. CrossRef
Cao, X., Guo, X., Liu, H., & Gu, J. (2015). The role of social media in supporting knowledge integration: A social capital analysis. Information Systems Frontiers, 17(2), 351–362. CrossRef
Carter, L., & Weerakkody, V. (2008). E-government adoption: A cultural comparison. Information Systems Frontiers, 10(4), 473–482. CrossRef
Chang, H. H., & Chuang, S. S. (2011). Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator. Information Management, 48(1), 9–18. CrossRef
Charlesworth, A. (2014). An Introduction to social media marketing. Oxon: Routledge.
Chen, R., & Sharma, S. K. (2013). Self-disclosure at social networking sites: An exploration through relational capitals. Information Systems Frontiers, 15(2), 269–278. CrossRef
Chen, J. V., Yen, D. C., & Chen, K. (2009). The acceptance and diffusion of the innovative smartphone use: a case study of a delivery service company in logistics. Information Management, 46(4), 241–248. CrossRef
Chen, A., Lu, Y., Chau, P. Y., & Gupta, S. (2014). Classifying, Measuring, and Predicting Users’ Overall Active Behavior on Social Networking Sites. Journal of Management Information Systems, 31(3), 213–253. CrossRef
Cheung, C. M., & Lee, M. K. (2006). Understanding consumer trust in Internet shopping: A multidisciplinary approach. Journal of the American Society for Information Science and Technology, 57(4), 479–492. CrossRef
Cheung, C., Lee, Z. W., & Chan, T. K. (2015). Self-disclosure in social networking sites: the role of perceived cost, perceived benefits and social influence. Internet Research, 25(2), 279–299. CrossRef
Chiang, H. S. (2013). Continuous usage of social networking sites: The effect of innovation and gratification attributes. Online Information Review, 37(6), 851–871. CrossRef
Chiasson, M. W., & Lovato, C. Y. (2001). Factors influencing the formation of a user’s perception and use of a DSS software innovation. Database for Advances in Information Systems, 32(3), 16–35. CrossRef
Chow, W. S., & Shi, S. (2015). Investigating customers’ satisfaction with brand pages in social networking sites. The Journal of Computer Information Systems, 55(2), 48. CrossRef
Crocker, J., & Canevello, A. (2008). Creating and undermining social support in communal relationships: The role of compassionate and self-image goals. Journal of Personality and Social Psychology, 95(3), 555–575. CrossRef
Cropanzano, R. (2009). “Writing nonempirical articles for Journal of Management: general thoughts and suggestions.” Journal of Management, 35(6), 1304–13011.
CSC (2017). Big data Universe beginning to explode. [Web log comment].Retrieved from http://www.csc.com/insights/flxwd/78931big_data_universe_beginning_to_explode.
Dalla Pozza, I. (2014). Multichannel management gets “social”. European Journal of Marketing, 48(7/8), 1274–1295. CrossRef
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. M IS Quarterly, 13(3), 319–339. CrossRef
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). “User acceptance of computer technology: a comparison of two theoretical models.” Management science, 35(8), 982–1003.
De Valck, K., van Bruggen, G. H., & Wierenga, B. (2009). Virtual communities: a marketing perspective. Decision Support Systems, 47(3), 185–203. CrossRef
Dennis, C., Merrilees, B., Jayawardhena, C., & Tiu Wright, L. (2009). E-consumer behaviour. European Journal of Marketing, 43(9/10), 1121–1139. CrossRef
Diffley, S., Kearns, J., Bennett, W., & Kawalek, P. (2011). Consumer behaviour in social networking sites: implications for marketers. Irish Journal of Management, pp., 47–66 Available at: http://iamireland.ie/wp-content/uploads/2012/05/IJM_30_2_Final_crop.pdf#page=57.
Dinev, T., Xu, H., Smith, J. H., & Hart, P. (2013). Information privacy and correlates: an empirical attempt to bridge and distinguish privacy-related concepts. European Journal of Information Systems, 22(3), 295–316. CrossRef
Domina, T., Lee, S.-E., & MacGillivray, M. (2012). Understanding factors affecting consumer intention to shop in a virtual world. Journal of Retailing and Consumer Services, 19(6), 613–620 Available at: http://linkinghub.elsevier.com/retrieve/pii/S0969698912000975. CrossRef
Dwivedi, Y. K., Williams, M. D., & Venkatesh, V. (2008). Guest Editorial: A profile of adoption of Information and Communication Technologies (ICT) research in the household context. Information Systems Frontiers, 10(4), 385–390. CrossRef
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2017). “Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model.” Information Systems Frontiers. https://doi.org/10.1007/s10796-017-9774-y.
DWork, C., & Mulligan, D. K. (2013). It's Not Privacy, and It's Not Fair. [Online] Available at: http://www.stanfordlawreview.org/online/privacy-and-big-data/its-not-privacy-and-itsnot-fair. Accessed 28 June 2014.
Dyson, E. (1998). A design for living in the digital age. New York: Broadway Books.
Eastlick, M. A., Lotz, S. L., & Warrington, P. (2006). Understanding online B-to-C relationships: an integrated model of privacy concerns, trust, and commitment. Journal of Business Research, 59(8), 877–886. CrossRef
Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. CrossRef
Fish, T. (2009). My Digital Footprint A two-sided digital business model where your privacy will be someone else's business. 1st ed. Kindle ebook: futuretext.
Foster, M., West, B., & Francescucci, A. (2011). Exploring social media user segmentation and online brand profiles. Journal of Brand Management, 19(1), 4–17. CrossRef
Gamboa, A. M., & Gonçalves, H. M. (2014). Customer loyalty through social networks: lessons from Zara on Facebook. Business Horizons, 57(6), 709–717. CrossRef
Ghosh, A., Varshney, S., & Venugopal, P. (2014). Social Media WOM: Definition, Consequences and Inter-relationships. Management and Labour Studies, 39(3), 293–308. CrossRef
Gironda, J. T., & Korgaonkar, P. K. (2014). Understanding consumers’ social networking site usage. Journal of Marketing Management, 30(5–6), 571–605. CrossRef
Grace, D., Ross, M., & Shao, W. (2015). Examining the relationship between social media characteristics and psychological dispositions. European Journal of Marketing, 49(9/10), 1366–1390. CrossRef
Grieve, R., Indian, M., Witteveen, K., Anne Tolan, G., & Marrington, J. (2013). Face-to-face or Facebook: can social connectedness be derived online? Computers in Human Behaviour, 29(3), 604–609. CrossRef
Hajli, M. N. (2014). A study of the impact of social media on consumers. International Journal of Market Research, 56(3), 388–404. CrossRef
Hau, Y. S., & Kim, Y. G. (2011). Why would online gamers share their innovation-conducive knowledge in the online game user community? Integrating individual motivations and social capital perspectives. Computers in Human Behavior, 27(2), 956–970.
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38–52. CrossRef
Hepper, E. G., Hart, C. M., Gregg, A. P., & Sedikides, C. (2011). Motivated expectations of positive feedback in social interactions. Journal of Social Psychology, 151(4), 455–477. CrossRef
Ho, C., & Wu, W. (2011). The role of innovativeness of consumer in relationship between perceived attributes of new products and intention to adopt. International Journal of Electronic Business Management, 9(3), 258–266.
Hsiao, K. L., Lin, J. C. C., Wang, X. Y., Lu, H. P., & Yu, H. (2010). Antecedents and consequences of trust in online product recommendations. Online Information Review, 34(6), 935–953. CrossRef
Hsu, C., & Wu, C. (2011). Understanding users’ continuance of Facebook: an integrated model with the unified theory of acceptance and use of technology, expectation disconfirmation model, and flow theory. International Journal of Virtual Communities and Social Networking, 3(2), 1–16. CrossRef
Hsu, C., Ju, T. L., Yen, C. H., & Chang, C. M. (2007). Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations. International Journal of Human-Computer Studies, 65(2), 153–169 Available at: http://linkinghub.elsevier.com/retrieve/pii/S1071581906001431. CrossRef
Hudson, S., & Hudson, R. (2013). Engaging with consumers using social media: a case study of music festivals. International Journal of Event and Festival Management, 4(3), 206–223 Available at: http://www.emeraldinsight.com/journals.htm?issn=1758-2954andvolume=4andissue=3andarticleid=17096678andshow=html. CrossRef
Hussain, I. (2012). A study to evaluate the social media trends among university students. Procedia – Social and Behavioral Sciences, 64, 639–645. CrossRef
Idemudia, E. C., Raisinghani, M. S., & Samuel-Ojo, O. (2016). ”The contributing factors of continuance usage of social media: An empirical analysis.” Information Systems Frontiers. https://doi.org/10.1007/s10796-016-9721-3.
Jansen, B. J., Zhang, M., Sobel, K., & Chowdury, A. (2009). Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology, 60(11), 2169–2188. CrossRef
Jiang, Z., Heng, C. S., & Choi, B. C. (2013). Research Note—Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions. Information Systems Research, 24(3), 579–595. CrossRef
Junglas, I., Goel, L., Abraham, C., & Ives, B. (2013). The social component of information systems – how sociability contributes to technology acceptance. Journal of the Association for Information Systems, 14(10), 585–616. CrossRef
Kennedy, H., Elgesem, D., & Miguel, C. (2017). “On fairness: User perspectives on social media data mining.” Convergence, 23(3), 270–288.
Kim, H. W., Gupta, S., & Koh, J. (2011). Investigating the intention to purchase digital items in social networking communities: A customer value perspective. Information Management, 48(6), 228–234. CrossRef
Ko, H., Cho, C. H., & Roberts, M. S. (2005). Internet uses and gratifications: a structural equation model of interactive advertising. Journal of Advertising, 34(2), 57–70. CrossRef
Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T. (2010). Online social networks: why we disclose. Journal of Information Technology, 25(2), 109–125. CrossRef
Krasonikolakis, I., Vrechopoulos, A., & Pouloudi, A. (2014). Store selection criteria and sales prediction in virtual worlds. Information Management, 51(6), 641–652. CrossRef
Kuchler, H. (2017). The Internet of things: Home is where the hackers are. Financial Times. Retrieved from https://www.ft.com/content/cb880bc2-057c-11e7-ace0-1ce02ef0def9.
Lambiotte, R., & Kosinski, M. (2014). Tracking the Digital Footprints of Personality. Proceedings of the IEEE, 102(12), 1934–1939. CrossRef
Lee, D., Park, J. Y., Kim, J., & Moon, J. (2011). Understanding music sharing behaviour on social network services. Online Information Review, 35(5), 716–733. CrossRef
Lee, H., Park, H., & Kim, J. (2013). Why do people share their context information on Social Network Services? A qualitative study and an experimental study on users' behavior of balancing perceived benefit and risk. International Journal of Human-Computer Studies, 71(9), 862–877. CrossRef
Leung, X. Y., Bai, B., & Stahura, K. A. (2015). The Marketing Effectiveness of Social Media in the Hotel Industry A Comparison of Facebook and Twitter. Journal of Hospitality and Tourism Research, 39(2), 147–169. CrossRef
Liang, T.-P., Ho, Y.-T., Li, Y.-W., & ScTurban, E. (2011). What drives social commerce: the role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69–90. CrossRef
Lin, H. F. (2011). An empirical investigation of mobile banking adoption: the effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252–260. CrossRef
Lin, C. P., & Anol, B. (2008). Learning online social support: an investigation of network information technology based on UTAUT. Cyberpsychology and Behavior, 11(3), 268–272. CrossRef
Lu, Y., Zhao, L., & ScWang, B. (2010). From virtual community members to c2c e-commerce buyers: trust in virtual communities and its effect on consumers’ purchase intention. Electronic Commerce Research and Applications, 9(4), 346–360. CrossRef
Malhotra, A., Totti, L., Meira Jr, W., Kumaraguru, P., & Almeida, V. (2012). Studying user footprints in different online social networks. In Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012) (pp. 1065–1070). IEEE Computer Society.
Mathwick, C. (2002). Understanding the online consumer: a typology of online relational norms and behavior. Journal of Interactive Marketing, 16(1), 40–55. CrossRef
Michael, M. G., Michael, K., & Perakslis, C. (2014). “Uberveillance and the Internet of Things and people. In Contemporary Computing and Informatics (IC3I),” 2014 International Conference on (pp. 1381–1386). IEEE.
Milewicz, & Saxby. (2013). Leaders’ social media usage intentions for in-bound customer communications. Management Research Review, 36(9), 849–867. CrossRef
Ngai, E. W. T., & Wat, F. K. T. (2002). A literature review and classification of electronic commerce research. Information Management, 39(5), 415–429. CrossRef
Ngai, E. W. T., Xiu, L., & Chau, D. C. K. (2009). Application of data mining techniques in customer relationship management: a literature review and classification. Expert Systems with Applications: An International Journal, 36(2), 2592–2602. CrossRef
Ngai, E. W. T., Moon, K. K., Lam, S. S., Chin, E. S. K., & Tao, S. S. C. (2015). Social media models, technologies, and applications An academic review and case study. Industrial Management and Data Systems, 115(5), 769–802. CrossRef
Nill, A., & Schibrowsky, J. A. (2007). Research on marketing ethics: A systematic review of the literature. Journal of Macromarketing, 27(3), 256–273. CrossRef
Nissenbaum, H., (2004). “Privacy as contextual integrity.” Washington Law Review Association, 79(1), 119–158.
Obst, P., & Stafurik, J. (2010). Online we are all able bodied: Online psychological sense of community and social support found through membership of disability-specific Websites promotes well-being for people living with a physical disability. Journal of Community and Applied Social Psychology, 20(6), 525–531. CrossRef
Oldmeadow, J. A., Quinn, S., & Kowert, R. (2013). Attachment style, social skills, and Facebook use amongst adults. Computers in Human Behaviour, 29(3), 1142–1149. CrossRef
Park, H., & Kim, Y.-K. (2014). The role of social network websites in the consumer–brand relationship. Journal of Retailing and Consumer Services, 21(4), 460–467. CrossRef
Park, N., Kee, K., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. CyberPsychology and Behavior, 12(6), 729–733. CrossRef
Pentina, I., Zhang, L., & Basmanova, O. (2013). Antecedents and consequences of trust in a social media brand: a cross-cultural study of Twitter. Computers in Human Behavior, 29(4), 1546–1555. CrossRef
Pereira, H.G., de Fátima Salgueiro, M. and Mateus, I. (2014). “Say yes to Facebook and get your customers involved! Relationships in a world of social networks.” Business Horizons, 57(6), pp.695–702. Available at: http://www.sciencedirect.com/science/article/pii/S0007681314000937.
Pillai, A., & Mukherjee, J. (2011). User acceptance of hedonic versus utilitarian social networking web sites. Journal of Indian Business Research, 3(3), 180–191. CrossRef
Presi, C., Saridakis, C., & Hartmans, S. (2014). User-generated content behaviour of the dissatisfied service customer. European Journal of Marketing, 48(9/10), 1600–1625. CrossRef
Pulse, G., (2012). Big Data for Development: Opportunities and Challenges: A Global Pulse White Paper. [Online]. Available at: http://www.unglobalpulse.org/BigDataforDevWhitePaper [Accessed 1 May 2017].
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2013). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. CrossRef
Rishika, R., Kumar, A., Janakiraman, R., & Bezawada, R. (2013). The effect of customers' social media participation on customer visit frequency and profitability: an empirical investigation. Information Systems Research, 24(1), 108–127. CrossRef
Rosenberger, M., Lehrer, C., & Jung, R. (2017). Integrating data from user activities of social networks into public administrations. Information Systems Frontiers, 19(2), 253–266. CrossRef
Schroeder, R.(2014). “Big Data and the brave new world of social media research”, Big Data and Society, 1(2), 2053951714563194.
Sharma, S. K. (2017). Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling . Information Systems Frontiers, 1–13. https://doi.org/10.1007/s10796-017-9775-x.
Shin, D. H. (2010). The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers, 22(5), 428–438. CrossRef
Talukder, M., & Quazi, A. (2011). The impact of social influence on individuals’ adoption of innovation. Journal of Organizational Computing and Electronic Commerce, 21(2), 111–135. CrossRef
Tan, X., Qin, L., Kim, Y., & Hsu, J. (2012). Impact of privacy concern in social networking web sites. Internet Research, 22(2), 211–233. CrossRef
Trivedi, N., Asamoah, D. A., and Doran, D. (2016). Keep the conversations going: engagement-based customer segmentation on online social service platforms. Information Systems Frontiers, 1–19. Available at: https://doi.org/10.1007/s10796-016-9719-x.
Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of Marketing Research, 51(5), 546–562. CrossRef
Tuton, T. L. and Solomon, M. R. (2015) Social Media Marketing, 2 nd Edition, London: Sage Publication Ltd.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. Management Information Systems Quarterly, 27(3), 425–478. CrossRef
Venkatesh, V., Thong, J. Y., and Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology.
Wang, X., Yu, C., & Wei, Y. (2012). Social media peer communication and impacts on purchase intentions: a consumer socialization framework. Journal of Interactive Marketing, 26(4), 198–208. CrossRef
Waters, R. and Bond, S. (2017). US moves step closer to overturning broadband privacy regulations. Financial Times. Retrieved from https://www.ft.com/content/fbb144fa-1411-11e7-80f4-13e067d5072c.
Whiting, A., & Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362–369. CrossRef
Wu, J. J., & Chang, Y. S. (2005). Towards understanding members’ interactivity, trust, and flow in online travel community. Industrial Management and Data Systems, 105(7), 937–954. CrossRef
Wu, J.-J., Chen, Y.-H., & Chung, Y.-S. (2010). Trust factors influencing virtual community members: a study of transaction communities. Journal of Business Research, 63(9–10), 1025–1032. CrossRef
Yulihasri, Islam, M. A., & Daud, K. A. K. (2011). Factors that influence customers’ buying intention on shopping online. International Journal of marketing studies, 3(1), 128.
Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences. Information Management, 51(8), 1017–1030. CrossRef
Zhou, T., Lu, Y., & Wang, B. (2016). Examining online consumers’ initial trust building from an elaboration likelihood model perspective. Information Systems Frontiers, 18(2), 265–275. CrossRef
Zolkepli, I. A., & Kamarulzaman, Y. (2015). Social media adoption: The role of media needs and innovation characteristics. Computers in Human Behavior, 43, 189–209. CrossRef
- Analysis of Factors that Influence Customers’ Willingness to Leave Big Data Digital Footprints on Social Media: A Systematic Review of Literature
Syed Sardar Muhammad
Bidit Lal Dey
- Publication date
- Springer US
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