Darren Roback
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Abstract
The adoption and use of mobile location-based applications (LBAs) (e.g. Loopt, Gowalla, Foursquare, Facebook Places, My Town) are far behind industry expectations. Drawing on social exchange theory, we present a theoretical framework to examine the cost-benefit tradeoffs considered by potential users of mobile LBAs. A research model is proposed and tested using data collected from a sample of 222 respondents. Our study offers two explanations for why users would release location information: 1) the application's controls reduce privacy risk beliefs, and 2) the application provides opportunities for socialness. Understanding the motivations and concerns of different types of users and developing LBAs to meet those specific needs is both a challenge and a condition for the growth of the location-based market.
- Aggarwal, P., and Law, S. (2005). Role of Relationship Norms in Processing Brand Information. Journal of Consumer Research, (32:3), 453--464.Google Scholar
Cross Ref
- Atkinson, M. & Kydd, C. (1997). Individual Characteristics Associated with World Wide Web Use: An Empirical Study of Playfulness and Motivation. Data Base for Advance in Information Systems, 28(2), 53--62. Google ScholarDigital Library
- Baker, J., Parasuraman, A., Grewal, D., & Voss, G. (2002). The Influence of Multiple Store Environment Cues on Perceived Merchandise Value and Patronage Intentions. Journal of Marketing, (66:2), 120--14Google Scholar
- Betancourt, L. (2010). Why hasn't Location Reached the Mainstream Yet? http://mashable.com/2010/5/13/location-mainstream.Google Scholar
- Chin, W. (1998). The Partial Least Squares Approach to Structural Equation Modeling: in Marcoulides, B., (ed.), Modern Methods for Business Research, Lawrence Erlbaum Associates, Mahwah.Google Scholar
- Choi, D., & Kim, J. (2004). Why People Continue to Play Online Games: In Search of Critical Design Factors to Increases Customer Loyalty to Online Contents. CyberPsychology & Behavior, 7(1), 11--24.Google ScholarCross Ref
- Coleman, J. (1990). Foundations of Social Theory. Belknap Press, Cambridge.Google Scholar
- Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 319--340. Google ScholarDigital Library
- Davis, F., Bagozzi, R., & Warshaw, P. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, (35), 982--1003 Google ScholarDigital Library
- Davis, F., Bagozzi, R., & Warshaw, P. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111--1132.Google ScholarCross Ref
- Dwyer, F., Schurr, P. & Oh, S. (1987). Developing the Buyer-Seller Relationship. Journal of Marketing, 51(2), 11--27.Google ScholarCross Ref
- Ellison, N., 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, 1143--1168.Google ScholarCross Ref
- Emerson, R. (1981). Social Exchange Theory. In M. Rosenberg and R. H. Turner (eds.), Social Pschology: Sociological Perspectives. pp. 31--65, Basic Books, New York.Google Scholar
- Fishbein, M. & Ajzen I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading MA.Google Scholar
- Fornell, C., & Larcker, D. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, (48), 39--50.Google ScholarCross Ref
- Fusco, S.J., Michael, K., & Michael, M.G. (2010). Using a Social Informatics Framework to Study the Effects of Location-Based Social Networking on Relationships Between People: A Review of Literature. Proceedings of the 2010 IEEE International Symposium on Technology and Society, June 7--9, Wallongong, Australia, 157--171.Google ScholarCross Ref
- Gefen, D., Straub, D., & Boudreau, M. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association of Information Systems, 4(7), 1--79.Google Scholar
- Gefen, D., & Ridings, C. (2002). Implementation Team Responsiveness and User Evaluation of Customer Relationship Management: A Quasi-Experimental Design Study of Social Exchange Theory. Journal of Management Information Systems, 19(1), 47--69. Google ScholarCross Ref
- Gefen, D., Karahanna, E. and Straub, D. (2003) Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51--91. Google ScholarDigital Library
- Havelena, W. & DeSarbo, W. (1991). On the Measurement of Perceived Consumer Risk. Decision Sciences, 22(4), 927--939.Google ScholarCross Ref
- Heiser, J. & Bace, J. (2010). Tossing Your Cookies: The Privacy Implications of Context Aware Agents. Gartner Research. ID Number: G00206302.Google Scholar
- Henseler, J., Ringle, C., & Sinkovics, R. (2009). The Use of Partial Least Squares Path Modeling in International Marketing, in Sinkovics, R., and Ghauri, P. (eds.), Advances in International Marketing, Vol. 20. Bingley, 277--320.Google ScholarCross Ref
- Homans, G. (1961). Social Behavior. Harcourt, Brace & World, NY.Google Scholar
- Igbaria, M., Parasuraman, S., & Baroudi, J. (1996). A Motivational Model of Microcomputer Usage. Journal of Management Information Systems, 13(1), 127--143. Google ScholarDigital Library
- Jarvenpaa, S. & Staples, D. (2001). Exploring Perceptions of Organizational Ownership of Information and Expertise. Journal of Management Information Systems. 18(1), 151--183. Google ScholarDigital Library
- Jarvenpaa, S. & Todd P. (1996). Consumer Reactions to Electronic Shopping on the World Wide Web. International Journal of Electronic Commerce, 1(2), 59--88. Google ScholarDigital Library
- Junglas, I. (2010). Homo Socialis- Or the Social Component of Information Systems. Under Review.Google Scholar
- Karahanna, E. and Straub, D. W. (1999) The Psychological Origins of Perceived Usefulness and Perceived Ease-of-Use. Information Management, 35, 237--250. Google ScholarDigital Library
- Kelley, H. & Thibaut, J. (1978). Interpersonal Relations: A Theory of Interdependence. Wiley and Sons, NY.Google Scholar
- Koufaris, M., Kambil, A. & Labarbera, P. (2001). Consumer behavior in web-based commerce: an empirical study. International Journal of Electronic Commerce, 6(2), 115--138. Google ScholarDigital Library
- Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T. (2010). Online Social Networks: Why We Disclose. Journal of Information Technology, 25, 109--125.Google ScholarCross Ref
- Kumar, N. and Benbasat, I. (2006) The Influence of Recommendations and Consumer Reviews on Evaluations of Websites. Information Systems Research, 17(4), 425--442. Google ScholarDigital Library
- Malhotra, N., Kim, S., & Agarwal, J. (2004). Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model. Information Systems Research, 15(4), 336--355. Google ScholarDigital Library
- McKnight, D., Kacmar C., & Choudhury, V. (2004). Dispositional Trust and Distrust Distinctions in Predicting Highand Low-Risk Internet Expert Advice Site Perceptions. e-Service Journal, 3(2), 35--55.Google ScholarCross Ref
- Moon, J., & Kim, Y. (2001). Extending the TAM for a World-Wide-Web Context. Information and Management, 38(4), 217--230. Google ScholarDigital Library
- Nunnally, J. (1978) Psychometric Theory (2nd ed.). McGraw-Hill, New York, NY.Google Scholar
- Peter, J. & Tarpey, L. (1975). A Comparative Analysis of Three Consumer Decision Strategies. Journal of Consumer Research, 2, 29--37.Google ScholarCross Ref
- Podsakoff, P. M., MacKenzie, S. B., Lee, J.Y. & Podsakoff, N. P. (2003) Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879--903.Google ScholarCross Ref
- Posey, C., Lowry, P., Roberts, T., & Ellis, S. (2010). Proposing the Online Community Self-Disclosure Model: The Case of Working Professionals in France and the U.K. who use Online Communities. European Journal of Information Systems, 19(2), 181--196.Google ScholarCross Ref
- Rice, M. (1997). What Makes Users Revisit a Web Site? Marketing News, 31(6), 12.Google Scholar
- Rigdon, E., Ringle, C., & Sarstedt, M. (2010). Structural Modeling of Heterogeneous Data wit Partial Least Squares, in Malhotra, N. (ed.), Review of Marketing Research, 7, Armonk.Google ScholarCross Ref
- Ringle, C., Wende, S., & Will, A. (2005). SmartPLS 2.0 (beta). SmartPLS, Hamburg, Germany.Google Scholar
- Ringle, C., Wende, S., & Will, A. (2010). Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples. In V. Esposito Vinzi, WW. Chin, J. Henseler, and H. Wang (eds.) Handbook of Partial Least Squares. Springer-Verlag, Berlin.Google Scholar
- Sarstedt, M., & Ringle, C. (2010). Treating Unobserved Heterogeneity in PLS Path Modeling: A Comparison of FIMIX-PLS with Different Data Analysis Strategies, Journal of Applied Statistics, 37.Google ScholarCross Ref
- Schwarz, N. (1990). Feelings as Information: Informational and Motivational Functions of Affective States, in Handbook of Motivation and Cognition Vol. 2, E. Torry Higgins and R.M. Sorrentino (eds.), Guilford, NY, 527--561.Google Scholar
- Schwarz, N. and Clore, G. L. (1983). Mood, Misattribution, and Judgments of Well-Being: Informative and Directive Functions of Affective States. Journal of Personality and Social Psychology, (45), 513--523.Google ScholarCross Ref
- Scott, W. (2003). Organizations: Rational, Natural, and Open Systems (5th Ed). Prentice Hall, Englewood Cliffs, NJ.Google Scholar
- Sociable. (2011). In The Free Dictionary. Retrieved August 14, 2011, from http://thefreedictionary.com/sociable.Google Scholar
- Son J., Narasimhan, S. & Riggins, F. (2005). Effects of Relational Factors and Channel Climate on EDI Usage in the Customer-Supplier Relationship. Journal of Management Information Systems, 22(1), 321--353. Google ScholarDigital Library
- Staples, D. & Webster, J. (2008). Exploring the Effects of Trust, Task Interdependence and Virtualness on Knowledge Sharing in Teams. Information Systems Journal, 18, 617--640.Google ScholarCross Ref
- Stewart, K., & Segars, A. (2002). An Empirical Examination of the Concern for Information Privacy Instrument. Information Systems Research, 13(1), 36--49. Google ScholarDigital Library
- Sun. H. (2010). Sellers' Trust and Continued Use of Online Marketplaces. Journal of the Association for Information Systems, 11(4), 182--211.Google ScholarCross Ref
- Taylor, S., & Todd, P. (1995) Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144--176.Google ScholarDigital Library
- Van Der Heijden, H. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695--704. Google ScholarCross Ref
- Venkatesh, V. (1999). Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation. MIS Quarterly, 23(2), 239--260. Google ScholarDigital Library
- Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11, 342--365 . Google ScholarDigital Library
- Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425--478. Google ScholarDigital Library
- Wakefield, R., Wakefield, K., Baker, J., & Wang, L. (2011). How Website Socialness Leads to Website Use. European Journal of Information Systems,20, 118--132.Google ScholarCross Ref
- Wang, L., Baker, J., Wagner, J., & Wakefield, K. (2007) Can a Retail Web Site be Social? Journal of Marketing, 71, 143--157.Google ScholarCross Ref
- Wilcox, H. (2010). Mobile Retail Market. www.juniperresearch.com, March.Google Scholar
- Wyer, R. S., Clore, G. L., & Isbell, L. M. (1999). Affect and Information Processing, in Advances in Experimental Psychology, M. P. Zanna (ed), Academic Press, San Diego, CA.Google Scholar
- Xiao, B. and Benbasat, I. (2007). E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact. MIS Quarterly, (31:1), 137--209. Google ScholarDigital Library
- Xu, H., Dinev, T., Smith, H., & Hart, P. (2008). Examining the Formation of Individual's Privacy Concerns: Toward an Integrative View. Proceedings of the 2008 International Conference on Information Systems, December 14--17, Paris, France.Google Scholar
- Zafirovski, M. (2003). Some Amendment to Social Exchange Theory: A Sociological Perspective. Theory & Science, 4(2).Google Scholar
Index Terms
- Privacy risk versus socialness in the decision to use mobile location-based applications
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