An Empirical Study of Factors Influencing Use of Tablet-PC and Task Performance and Moderating Effects of Innovative Culture of Organization

Growth in the device field is driven by various emerging devices, tablet PC are among the most recognizable. Tablet PC are mobile computing devices enabled with touch screens or pen inputs and provide the functions of various other devices. Firms are interested in utilization of tablet PC on task. Many of firms is considering accepting of tablet PC and is looking forward to performance of tablet PC. Thus, this study propose to discuss strategies for the usage of tablet PC from organizational needs perspective. The goal of this study is to identify factors influencing use of tablet PC and task performance. The results of this study showed that the proposed factors of organizational needs with a exception of Service Flexibility had a positive impact on perceived usefulness that then positively affected Usage of Tablet PC and Task Performance. In addition, perceived task-technology fit had a positive impact on perceived usefulness and Usage of Tablet PC. Finally, Innovative Culture of Organization as a moderating effect significantly influenced the relationship between perceived usefulness, perceived Task-Technology Fit and Usage of Tablet PC. This study is expected to be a reference for a subsequent study associated with Tablet PC at organizational viewpoints.

[1]  Tor J. Larsen,et al.  The role of task-technology fit as users' motivation to continue information system use , 2009, Comput. Hum. Behav..

[2]  Tor Guimaraes,et al.  Corporate culture, absorptive capacity and IT success , 2005, Inf. Organ..

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

[4]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[5]  William J. Doll,et al.  The measurement of end-user computing satisfaction: theoretical and methodological issues , 1991 .

[6]  Tao Zhou,et al.  Integrating TTF and UTAUT to explain mobile banking user adoption , 2010, Comput. Hum. Behav..

[7]  Mark Ginsburg,et al.  Exploring the black box of task-technology fit , 2009, CACM.

[8]  Hsing Kenneth Cheng,et al.  An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differences , 2007, Decis. Support Syst..

[9]  Richard T. Watson,et al.  Task-technology fit for mobile locatable information systems , 2008, Decis. Support Syst..

[10]  Gary Garrison,et al.  Understanding users' behaviors regarding supply chain technology: Determinants impacting the adoption and implementation of RFID technology in South Korea , 2010, Int. J. Inf. Manag..

[11]  M. Firth,et al.  The diffusion of managerial accounting procedures in the People's Republic of China and the influence of foreign partnered joint ventures , 1996 .

[12]  David C. Yen,et al.  Determinants of users' intention to adopt wireless technology: An empirical study by integrating TTF with TAM , 2010, Comput. Hum. Behav..

[13]  Greg W. Marshall,et al.  Sales force use of technology: antecedents to technology acceptance , 2005 .

[14]  Susan Kitchell.  Corporate culture, environmental adaptation, and innovation adoption: A qualitative/quantitative approach , 1995 .

[15]  Diane Hamilton,et al.  Adding contextual specificity to the technology acceptance model , 2006, Comput. Hum. Behav..

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

[17]  Arun Rai,et al.  Firm performance impacts of digitally enabled supply chain integration capabilities , 2006 .

[18]  Pontus Johnson,et al.  Using enterprise architecture and technology adoption models to predict application usage , 2012, J. Syst. Softw..

[19]  Dale Goodhue,et al.  Understanding user evaluations of information systems , 1995 .

[20]  Jin-Bo Sim,et al.  Acceptance‐Diffusion Strategies for Tablet‐PCs: Focused on Acceptance Factors of Non‐Users and Satisfaction Factors of Users , 2012 .

[21]  V. Zeithaml.  Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[22]  Louis Raymond,et al.  Resource-based view and competitive strategy: An integrated model of the contribution of information technology to firm performance , 2006, J. Strateg. Inf. Syst..

[23]  Dorothy E. Leidner,et al.  An Empirical Examination of the Influence of Organizational Culture on Knowledge Management Practices , 2005, J. Manag. Inf. Syst..

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

[25]  Michael Rohs,et al.  The smart phone: a ubiquitous input device , 2006, IEEE Pervasive Computing.

[26]  Kar Yan Tam,et al.  Organizational adoption of open systems: a 'technology-push, need-pull' perspective , 2000, Inf. Manag..

[27]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[28]  Wen-Shan Lin,et al.  Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit , 2012, Comput. Educ..

[29]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[30]  Jung P. Shim,et al.  An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry , 2007, Eur. J. Inf. Syst..

[31]  Nava Pliskin,et al.  The effects of information systems integration and organizational culture on a firm's effectiveness , 1996, Inf. Manag..

[32]  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..

[33]  Hsin Hsin Chang,et al.  Task-technology fit and user acceptance of online auction , 2010, Int. J. Hum. Comput. Stud..

[34]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[35]  Thompson S. H. Teo,et al.  Information Systems Orientation and Business Use of the Internet: An Empirical Study , 2000, Int. J. Electron. Commer..

[36]  Robert C. MacGregor,et al.  The Effects of Strategic Alliance Membership on the Disadvantages of Electronic Commerce Adoption: A Comparative Study of Swedish and Australian Regional Small Businesses , 2005, J. Glob. Inf. Manag..