Changing information retrieval behaviours: an empirical investigation of users’ cognitive processes in the choice of location-based services

The introduction of smartphones and the accompanying profusion of mobile data services have had a profound effect on individuals’ lives. One of the most influential service categories is location-based services (LBS). Based on insights from behavioural decision-making, a conceptual framework is developed to analyse individuals’ decisions to use LBS, focusing on the cognitive processes involved in the decision-making. Our research is based on two studies. First, we investigate the use of LBS through semi-structured interviews of smartphone users. Second, we explore daily LBS use through a study based on diaries. The findings highlight that the decision to use LBS can be described by either a comparative mode based on the value of LBS in relation to other available options, or an intuitive mode in which past experiences trigger the use of heuristics. These modes in turn have positive influences on the continuance of LBS use and indicate changes in individuals’ information retrieval behaviours in everyday life. In particular, the distinct value dimension of LBS in specific contexts of use changes individuals’ behaviours towards accessing location-related information.

[1]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[2]  William Samuelson,et al.  Status quo bias in decision making , 1988 .

[3]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[4]  D. Kahneman.  Maps of Bounded Rationality: Psychology for Behavioral Economics , 2003 .

[5]  Jannis Kallinikos,et al.  Governing through Technology , 2011 .

[6]  R. Thaler.  Toward a positive theory of consumer choice , 1980 .

[7]  Katina Michael,et al.  Humancentric applications of precise location based services , 2005, IEEE International Conference on e-Business Engineering (ICEBE'05).

[8]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[9]  Keng Siau,et al.  An Experimental Study on Ubiquitous commerce Adoption: Impact of Personalization and Privacy Concerns , 2008, J. Assoc. Inf. Syst..

[10]  Anastasia Papazafeiropoulou,et al.  Does culture affect the adoption of advanced mobile services?: a comparative study of young adults' perceptions in Denmark and the UK , 2009, DATB.

[11]  John W. Payne,et al.  A Constructive Process View of Decision Making: Multiple Strategies in Judgment and Choice , 1992 .

[12]  K. Stanovich,et al.  Individual differences in reasoning: Implications for the rationality debate? , 2000, Behavioral and Brain Sciences.

[13]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[14]  P. Slovic.  The Construction of Preference , 1995 .

[15]  Ioanna D. Constantiou,et al.  A cognitive processes analysis of individuals' use of location-based services , 2011, ECIS.

[16]  Andrew J. May,et al.  A survey of ‘young social’ and ‘professional’ users of location-based services in the UK , 2007, J. Locat. Based Serv..

[17]  A. Tversky,et al.  Choice in Context: Tradeoff Contrast and Extremeness Aversion , 1992 .

[18]  Ioanna D. Constantiou,et al.  Exploring the influence of reference situations and reference pricing on mobile service user behaviour , 2006, Eur. J. Inf. Syst..

[19]  Parisa Eslambolchilar,et al.  Navigation your way: from spontaneous independent exploration to dynamic social journeys , 2011, Personal and Ubiquitous Computing.

[20]  Jannis Kallinikos,et al.  Governing Through Technology: Information Artefacts and Social Practice , 2010 .

[21]  D. Kahneman,et al.  Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias , 1991 .

[22]  Minna Pura.  Linking perceived value and loyalty in location‐based mobile services , 2005 .

[23]  Shuchih Ernest Chang,et al.  A User Study on the Adoption of Location Based Services , 2007, APWeb/WAIM Workshops.

[24]  John W. Payne,et al.  The adaptive decision maker: Name index , 1993 .

[25]  Harry T. Reis,et al.  Event-sampling and other methods for studying everyday experience. , 2000 .

[26]  M. Bazerman.  Judgment in Managerial Decision Making , 1990 .

[27]  Sumeet Gupta,et al.  The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services , 2009, Electron. Mark..

[28]  P. Slovic,et al.  The Construction of Preference: Index , 2006 .

[29]  Mary Lacity,et al.  Understanding Qualitative Data: A Framework of Text Analysis Methods , 1994, J. Manag. Inf. Syst..

[30]  I. Ajzen.  The theory of planned behavior , 1991 .

[31]  Ojelanki K. Ngwenyama,et al.  Contextual influences on user satisfaction with mobile computing: findings from two healthcare organizations , 2006, Eur. J. Inf. Syst..

[32]  M. F. Luce,et al.  Constructive Consumer Choice Processes , 1998 .

[33]  Harrison Si,et al.  Handbook of Research Methods in Social and Personality Psychology: Author Index , 2013 .

[34]  Richard E. Boyatzis,et al.  Transforming Qualitative Information: Thematic Analysis and Code Development , 1998 .

[35]  Matti Rossi,et al.  The impact of use context on mobile services acceptance: The case of mobile ticketing , 2009, Inf. Manag..

[36]  Richard H. Thaler,et al.  Mental Accounting and Consumer Choice , 1985, Mark. Sci..

[37]  Ioanna D. Constantiou,et al.  The four incremental steps toward advanced mobile service adoption , 2007, CACM.

[38]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[39]  K. Stanovich,et al.  Heuristics and Biases: Individual Differences in Reasoning: Implications for the Rationality Debate? , 2002 .

[40]  R. Bharat Rao,et al.  Evolution of mobile location-based services , 2003, CACM.

[41]  N. Bolger,et al.  Diary methods: capturing life as it is lived. , 2003, Annual review of psychology.

[42]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[43]  D. Kahneman,et al.  Heuristics and Biases: The Psychology of Intuitive Judgment , 2002 .

[44]  Shahper Vodanovich,et al.  Research Commentary - Digital Natives and Ubiquitous Information Systems , 2010, Inf. Syst. Res..

[45]  N. McGlynn.  Thinking fast and slow. , 2014, Australian veterinary journal.

[46]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[47]  Paul Slovic,et al.  The Construction of Preference: The Construction of Preference: An Overview , 2006 .

[48]  Sianne Ngai,et al.  “How much did you pay for this place?” Fear, Entitlement, and Urban Space in Bernard Rose's Candyman , 1996 .

[49]  E. Sadler‐Smith,et al.  Intuition: a fundamental bridging construct in the behavioural sciences. , 2008, British journal of psychology.

[50]  Ioanna D. Constantiou.  Consumer behaviour in the mobile telecommunications' market: The individual's adoption decision of innovative services , 2009, Telematics Informatics.

[51]  Paolo Bellavista,et al.  Location-Based Services: Back to the Future , 2008, IEEE Pervasive Computing.

[52]  Axel Küpper.  Location-based Services: Fundamentals and Operation , 2005 .

[53]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..