Exploring Innovative Information Seeking: The Perspectives of Cognitive Switching and Affinity with Digital Libraries

Abstract Drawing on adaptive structuration theory (AST), this study develops a research model to explore innovative information seeking in the context of digital libraries from the perspectives of cognitive switching and affinity. Innovative information seeking behavior is the combination of innovative IT (information technologies) use behavior and information seeking behavior and subsequently refers to innovative IT use oriented to information seeking. A research model was developed and survey data were collected. The partial least squares (PLS) structural equation modeling (SEM) was employed to verify the research model. The findings suggest that affinity with digital libraries is the most powerful determinant of innovative information seeking. Meanwhile, task nonroutineness and disconfirmation have positive effects on innovative information seeking; the effect of social influence on innovative information seeking is overpowered by affinity with digital libraries. The findings and their implications for theory and practice are discussed.

[1]  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.

[2]  Liu Fan,et al.  Why do users switch to a disruptive technology? An empirical study based on expectation-disconfirmation theory , 2014, Inf. Manag..

[3]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[4]  Ingrid Hsieh-Yee.  Student Use of Online Catalogs and Other Information Channels , 1996 .

[5]  Sean Xin Xu,et al.  Extracting Business Value from IT: A Sensemaking Perspective of Post-Adoptive Use , 2011, Manag. Sci..

[6]  Carla Ruiz-Mafé,et al.  Exploring individual personality factors as drivers of M-shopping acceptance , 2009, Ind. Manag. Data Syst..

[7]  Toni M. Somers,et al.  Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data , 2004, Inf. Syst. Res..

[8]  Nan Zhang,et al.  User Attitude Towards Mandatory Use of Information Systems: A Chinese Cultural Perspective , 2010, J. Glob. Inf. Manag..

[9]  Liette Lapointe,et al.  Enhanced Use of IT: A New Perspective on Post-Adoption , 2014, J. Assoc. Inf. Syst..

[10]  Heshan Sun,et al.  Understanding User Revisions When Using Information Systems Features: Adaptive System Use and Triggers , 2012, MIS Q..

[11]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

[12]  W. Orlikowski.  The Duality of Technology: Rethinking the Concept of Technology in Organizations , 2014 .

[13]  Wei Wang,et al.  The contingent effect of personal IT innovativeness and IT self-efficacy on innovative use of complex IT , 2013, Behav. Inf. Technol..

[14]  Gaby Odekerken-Schröder,et al.  Using PLS path modeling for assessing hierarchial construct models: guidelines and impirical illustration , 2009 .

[15]  R. Oliver.  Cognitive, affective, and attribute bases of the satisfaction response. , 1993 .

[16]  James T. C. Teng,et al.  Capturing the Complexity of Malleable IT Use: Adaptive Structuration Theory for Individuals , 2016, MIS Q..

[17]  Steven McClung,et al.  Getting up on the download: college students' motivations for acquiring music via the web , 2008, New Media Soc..

[18]  Enrique Herrera-Viedma,et al.  A review of quality evaluation of digital libraries based on users’ perceptions , 2012, J. Inf. Sci..

[19]  R. I. Sutton,et al.  Switching Cognitive Gears: From Habits of Mind to Active Thinking , 1991 .

[20]  Xigen Li,et al.  Factors influencing the willingness to contribute information to online communities , 2011, New Media Soc..

[21]  S. L. Star,et al.  Social informatics of digital library use and infrastructure , 1996 .

[22]  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..

[23]  Shuiqing Yang,et al.  A study on factors that affect users' behavioral intention to transfer usage from the offline to the online channel , 2011, Comput. Hum. Behav..

[24]  Ritu Agarwal,et al.  Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare , 2011, Inf. Syst. Res..

[25]  Viswanath Venkatesh,et al.  Adaptation to Information Technology: A Holistic Nomological Network from Implementation to Job Outcomes , 2015, Manag. Sci..

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

[27]  C. Mafé,et al.  Explaining Internet dependency: An exploratory study of future purchase intention of Spanish Internet users , 2006 .

[28]  L. Ross,et al.  The Library is Dead, Long Live the Library! The Practice of Academic Librarianship and the Digital Revolution , 2008 .

[29]  Thomas F. Stafford,et al.  Consumer acceptance of online auctions: An extension and revision of the TAM , 2008 .

[30]  Alan M. Rubin,et al.  Audience Activity and Satisfaction with Favorite Television Soap Opera , 1988 .

[31]  C. Hammond,et al.  Nontraditional Students and the Library: Opinions, Preferences, and Behaviors. , 1994 .

[32]  Yajiong Xue,et al.  Employees’ Exploration of Complex Systems: An Integrative View , 2015, J. Manag. Inf. Syst..

[33]  Namkee Park,et al.  User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model , 2009, Int. J. Inf. Manag..

[34]  Elizabeth M. Perse,et al.  Soap opera viewing patterns of college students and cultivation , 1986 .

[35]  Nancy A. Vanhouse,et al.  Digital Library Use: Social Practice in Design and Evaluation , 2003 .

[36]  Karin de Jager,et al.  Theories of Value and Demonstrating their Practical Implementation in Academic Library Services , 2018, The Journal of Academic Librarianship.

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

[38]  Yalan Yan,et al.  Comparison between user affinity with digital libraries and virtual communities , 2014, Learn. Publ..

[39]  Deepinder S. Bajwa,et al.  An Empirical Investigation into Factors Relating to the Adoption of Executive Information Systems: An Analysis of EIS for Collaboration and Decision Support* , 1997 .

[40]  Alexander Benlian,et al.  IT Feature Use over Time and its Impact on Individual Task Performance , 2015, J. Assoc. Inf. Syst..

[41]  Sei-Ching Joanna Sin,et al.  Individual Differences in Social Media Use for Information Seeking , 2014 .

[42]  Yongqiang Sun,et al.  Antecedents of employees' extended use of enterprise systems: An integrative view of person, environment, and technology , 2018, Int. J. Inf. Manag..

[43]  Thomas D. Wilson,et al.  Human Information Behavior , 2000, Informing Sci. Int. J. an Emerg. Transdiscipl..

[44]  Gerardine DeSanctis,et al.  Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory , 1994 .

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

[46]  Detmar W. Straub,et al.  Reconceptualizing System Usage: An Approach and Empirical Test , 2006, Inf. Syst. Res..

[47]  Sumeet Gupta,et al.  A User Empowerment Approach to Information Systems Infusion , 2014, IEEE Transactions on Engineering Management.

[48]  William Y. Arms.  The 1990s: The Formative Years of Digital Libraries , 2012, Libr. Hi Tech.

[49]  Terri L. Griffith.  Technology Features as Triggers for Sensemaking , 1999 .

[50]  Jinchao Zhang,et al.  Does affinity matter? Slow effects of e-quality on information seeking in virtual communities , 2015 .

[51]  Kelly J. Fadel.  User Adaptation and Infusion of Information Systems , 2012, J. Comput. Inf. Syst..

[52]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

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

[54]  Marie-Claude Boudreau,et al.  Enacting Integrated Information Technology: A Human Agency Perspective , 2005, Organ. Sci..

[55]  Atreyi Kankanhalli,et al.  Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation , 2005, MIS Q..

[56]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[57]  Antti Oulasvirta,et al.  Everyday appropriations of information technology: A study of creative uses of digital cameras , 2011, J. Assoc. Inf. Sci. Technol..

[58]  Soohyung Joo,et al.  Multifaceted Evaluation Criteria of Digital Libraries in Academic Settings: Similarities and Differences From Different Stakeholders , 2018, The Journal of Academic Librarianship.

[59]  Chen Ling,et al.  Exploring the services provided by CALIS: meeting the needs of member libraries , 2005 .

[60]  Ramana Rao,et al.  Rich interaction in the digital library , 1995, CACM.

[61]  Lou Ann Stewart,et al.  Choosing Between Print and Electronic Resources , 2000 .

[62]  Jinchao Zhang,et al.  A Survey of User Perceptions of Digital Library E-Quality and Affinity , 2014 .

[63]  Detmar W. Straub,et al.  Validation Guidelines for IS Positivist Research , 2004, Commun. Assoc. Inf. Syst..