A Study on Project Performance in Cloud Computing : Focus on User Experience of GoogleDocs

There are expectations about future internet technology with IT development by end-users. Cloud computing is attracted to satisfy those demands. However, adoption of cloud computing is not active that much. Therefore, this study verified how cloud computing environment affects performance of team project. We conducted empirical study on performance of team project with cloud computing as technology tool focusing on Task-Technology Fit Model. We collected samples that were undergraduate and graduate school students and had experience on initial cloud computing such as Google-Docs and Webhard when they conducted team project for assignment. We focused on accessibility and reliability as task-technology fit and those variables treated as first order factor. Result showed that cloud computing is suitable technology tool for team project. This study suggests positive effects of cloud computing for collaboration by proving perceived fit and performance in initial cloud computing.

[1]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[2]  Kieran Mathieson,et al.  Beyond the interface: Ease of use and task/technology fit , 1998, Inf. Manag..

[3]  Yong Zhao,et al.  Cloud Computing and Grid Computing 360-Degree Compared , 2008, GCE 2008.

[4]  Wynne W. Chin.  Issues and Opinion on Structural Equation Modeling by , 2009 .

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

[6]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[7]  Dale L. Goodhue,et al.  Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Inf , 1998 .

[8]  Ilze Zigurs,et al.  A Theory of Task/Technology Fit and Group Support Systems Effectiveness , 1998, MIS Q..

[9]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[10]  T. Ferratt,et al.  An investigation of task-technology fit for managers in Greece and the US , 1998 .

[11]  J. Bishop,et al.  An examination of organizational and team commitment in a self-directed team environment. , 2000, The Journal of applied psychology.

[12]  D. Sandy Staples,et al.  Exploring the effects of trust, task interdependence and virtualness on knowledge sharing in teams , 2008, Inf. Syst. J..

[13]  Kim Chang Soo,et al.  A Study on the Characteristic and Improvement of Cloud Computing , 2010 .

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

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

[16]  Elena Karahanna,et al.  Reconceptualizing Compatibility Beliefs , 2006 .

[17]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[18]  Jonathon N. Cummings,et al.  The Spatial, Temporal, and Configurational Characteristics of Geographic Dispersion in Teams , 2007, MIS Q..

[19]  Paul H. Cheney,et al.  Organizational Factors Affecting the Success of End-User Computing , 1986, J. Manag. Inf. Syst..

[20]  Alan R. Dennis,et al.  Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis , 2001, MIS Q..

[21]  Daniel Robey,et al.  User Attitudes and Management Information System Use , 1979 .

[22]  C. Marlene Fiol,et al.  Identification in Face-to-Face, Hybrid, and Pure Virtual Teams: Untangling the Contradictions , 2005, Organ. Sci..

[23]  E. Burton Swanson,et al.  INFORMATION CHANNEL DISPOSITION AND USE , 1987 .

[24]  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..

[25]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[26]  Onne Janssen,et al.  How Task and Person Conflict Shape the Role of Positive Interdependence in Management Teams , 1999 .

[27]  Rory Burke,et al.  Project Management: Planning and Control Techniques , 2001 .

[28]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

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

[30]  Izak Benbasat,et al.  An experimental program investigating color-enhanced and graphical information presentation: an integration of the findings , 1986, CACM.

[31]  Gerardine DeSanctis,et al.  Understanding the effectiveness of computer graphics for decision support: a cumulative experimental approach , 1986, CACM.

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

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

[34]  Jörg Henseler,et al.  Modeling Reflective Higher-Order Constructs using Three Approaches with PLS Path Modeling: A Monte Carlo Comparison , 2007 .

[35]  Luis Rodero-Merino,et al.  A break in the clouds: towards a cloud definition , 2008, CCRV.

[36]  C. Fornell.  A Second generation of multivariate analysis : classification of methods and implications for marketing research , 1985 .

[37]  Jerry R. Goolsby,et al.  Behavioral and Psychological Consequences of Boundary Spanning Burnout for Customer Service Representatives , 1994 .

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

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

[40]  Wynne W. Chin,et al.  Structural equation modeling analysis with small samples using partial least squares , 1999 .

[41]  P. Hackl,et al.  On measurement of intangible assets: A study of robustness of partial least squares , 2000 .

[42]  Kun Chang Lee,et al.  Analysis of Mobile Commerce Performance by using the Task-Technology Fit , 2004, MOBIS.

[43]  Jr. Henry C. Lucas,et al.  Performance and the Use of an Information System , 1975 .

[44]  Wynne W. Chin,et al.  Satisfying and Retaining Customers through Independent Service Representatives , 2004, Decis. Sci..