Application discoverability and user satisfaction in mobile application stores: An environmental psychology perspective

In order to appeal to consumers, mobile application stores face the challenge of finding ways to achieve the seemingly conflicting goals of providing a large quantity of applications and simultaneously making the specific applications that users desire easy to discover. Drawing on environmental psychology, this paper reports a study investigating how quantity-related facilitators and environment-related facilitators are related to application discoverability, which in turn impacts user satisfaction with the application store. We find that quantity-related facilitators (perceived quantity-sufficiency, perceived quantity-overload, and information specificity of search) and environment-related facilitators (application store coherence and user-generated reviews) all influence application discoverability, which affects user satisfaction. These facilitators play a role in managing the conflicting goals in mobile application stores.

[1]  BawdenDavid,et al.  The dark side of information , 2009 .

[2]  Kai H. Lim,et al.  Effects of conflicting aggregated rating on eWOM review credibility and diagnosticity: The moderating role of review valence , 2012, Decis. Support Syst..

[3]  Wynne W. Chin,et al.  Handbook of Partial Least Squares , 2010 .

[4]  M. Sobel Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models , 1982 .

[5]  Brian S. Butler,et al.  Membership Size, Communication Activity, and Sustainability: A Resource-Based Model of Online Social Structures , 2001, Inf. Syst. Res..

[6]  Jaeki Song,et al.  A Theoretical Approach to Web Design in E-Commerce: A Belief Reinforcement Model , 2005, Manag. Sci..

[7]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[8]  Yong Lu,et al.  Information exchange in virtual communities under extreme disaster conditions , 2011, Decis. Support Syst..

[9]  E. A. Locke Toward a theory of task motivation and incentives , 1968 .

[10]  Javier Reynoso,et al.  Satisfaction: A Behavioral Perspective on the Consumer , 2010 .

[11]  Mark W. Newman,et al.  Listening in: practices surrounding iTunes music sharing , 2005, CHI.

[12]  E. A. Locke,et al.  Goal setting theory. , 2012 .

[13]  Valleyside Road,et al.  Objective , 1971 .

[14]  J. Birkinshaw,et al.  Organizational Ambidexterity: Antecedents, Outcomes, and Moderators , 2008 .

[15]  Peter M. Bentler,et al.  Practical Issues in Structural Modeling , 1987 .

[16]  Steven John Simon,et al.  The impact of culture and gender on web sites: an empirical study , 2000, DATB.

[17]  Johannes Schöning,et al.  Falling asleep with Angry Birds, Facebook and Kindle: a large scale study on mobile application usage , 2011, Mobile HCI.

[18]  Fatemeh Zahedi,et al.  The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach , 2002, Inf. Syst. Res..

[19]  K. Jöreskog,et al.  Intraclass Reliability Estimates: Testing Structural Assumptions , 1974 .

[20]  Yaobin Lu,et al.  Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention , 2012, Decis. Support Syst..

[21]  Markus Eberl,et al.  An Application of PLS in Multi-Group Analysis: The Need for Differentiated Corporate-Level Marketing in the Mobile Communications Industry , 2010 .

[22]  David Bawden,et al.  The dark side of information: overload, anxiety and other paradoxes and pathologies , 2009, J. Inf. Sci..

[23]  Qing Cao,et al.  Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach , 2011, Decis. Support Syst..

[24]  Craig W. Fisher,et al.  Criticality of data quality as exemplified in two disasters , 2001, Inf. Manag..

[25]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[26]  Dongsong Zhang,et al.  The Effects of Tree-View Based Presentation Adaptation on Model Web Browsing , 2011, MIS Q..

[27]  이훈,et al.  지각된 유용성(Perceived Usefulness)의 영향분석 , 2004 .

[28]  Y. Trope,et al.  Construal Level Theory and Consumer Behavior , 2007 .

[29]  R. Oliver,et al.  The Dimensionality of Consumption Emotion Patterns and Consumer Satisfaction , 1991 .

[30]  Y. Trope,et al.  Construal Levels and Psychological Distance: Effects on Representation, Prediction, Evaluation, and Behavior. , 2007, Journal of consumer psychology : the official journal of the Society for Consumer Psychology.

[31]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[32]  Björn Kijl,et al.  A Comparison of Inter-Organizational Business Models of Mobile App Stores: There is more than Open vs. Closed , 2011, J. Theor. Appl. Electron. Commer. Res..

[33]  Wynne W. Chin How to Write Up and Report PLS Analyses , 2010 .

[34]  V. Noreika,et al.  Environmental Psychology , 2018 .

[35]  De Klerk,et al.  Web site usability , 2001 .

[36]  Linda Argote,et al.  Socially shared cognition at work: Transactive memory and group performance. , 1996 .

[37]  Peter J. Bentley,et al.  App Epidemics: Modelling the Effects of Publicity in a Mobile App Ecosystem , 2012, ALIFE.

[38]  Juan Carlos López,et al.  Mobile application stores: success factors, existing approaches and future developments , 2012 .

[39]  Izak Benbasat,et al.  Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites , 2006, Inf. Syst. Res..

[40]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[41]  James J. Gibson,et al.  The ecological approach to perception , 1977 .

[42]  Andrew B. Whinston,et al.  Understanding the Service Component of Application Service Provision: An Empirical Analysis of Satisfaction with ASP Services , 2003, MIS Q..

[43]  Yong Jin Kim,et al.  Do visitors' interest level and perceived quantity of web page content matter in shaping the attitude toward a web site? , 2006, Decis. Support Syst..

[44]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[45]  E. W. Gould,et al.  Crosscurrents: cultural dimensions and global Web user-interface design , 2000, INTR.

[46]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[47]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[48]  Kwasi Amoako-Gyampah,et al.  User involvement and user satisfaction: An exploratory contingency model , 1993, Inf. Manag..

[49]  Maarten Gelderman,et al.  The relation between user satisfaction, usage of information systems and performance , 1998, Inf. Manag..

[50]  Marshall Scott Poole,et al.  Affect in Web Interfaces: A Study of the Impacts of Web Page Visual Complexity and Order , 2010, MIS Q..

[51]  Jyh-Shen Chiou,et al.  The antecedents of consumers' loyalty toward Internet Service Providers , 2004, Inf. Manag..

[52]  Dongsong Zhang,et al.  Interface Design for Mobile Applications , 2005, AMCIS.

[53]  R. Brent Gallupe,et al.  Information Overload: Addressing the Productivity Paradox in Face-to-Face Electronic Meetings , 1999, J. Manag. Inf. Syst..

[54]  S. Dunwoody,et al.  Information Sufficiency and Risk Communication , 2004 .

[55]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[56]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[57]  Julian Birkinshaw,et al.  Organizational Ambidexterity: Balancing Exploitation and Exploration for Sustained Performance , 2009, Organ. Sci..

[58]  Jonathan W. Palmer,et al.  Web Site Usability, Design, and Performance Metrics , 2002, Inf. Syst. Res..

[59]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[60]  Bin Gu,et al.  Competition Among Virtual Communities and User Valuation: The Case of Investing-Related Communities , 2007, Inf. Syst. Res..

[61]  Kwasi Amoako-Gyampah,et al.  Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation , 2007, Comput. Hum. Behav..

[62]  Dianne Cyr,et al.  Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty , 2008, J. Manag. Inf. Syst..

[63]  C. O'Reilly Individuals and Information Overload in Organizations: Is More Necessarily Better? , 1980 .

[64]  Deborah E. Rosen,et al.  Website design: Viewing the web as a cognitive landscape , 2004 .

[65]  Ming-Hui Huang,et al.  Modeling virtual exploratory and shopping dynamics: an environmental psychology approach , 2003, Inf. Manag..

[66]  Francis Heylighen,et al.  Objective, Subjective and Intersubjective Selectors of Knowledge , 1997 .

[67]  G. Latham,et al.  The Effect of Learning versus Outcome Goals on a Simple versus a Complex Task , 1996 .

[68]  Steve Muylle,et al.  The conceptualization and empirical validation of web site user satisfaction , 2004, Inf. Manag..

[69]  S. Kaplan,et al.  Cognition and Environment: Function - ing in an Uncertain World , 1983 .

[70]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

[71]  Félix Cuadrado,et al.  Mobile application stores: success factors, existing approaches, and future developments , 2012, IEEE Commun. Mag..

[72]  Clayton Shepard,et al.  Exploring iPhone usage: the influence of socioeconomic differences on smartphone adoption, usage and usability , 2012, Mobile HCI.

[73]  C. Pinder,et al.  Work motivation : theory, issues, and applications , 1985 .