Perceived values and prospective users' acceptance of prospective technology: The case of a career eportfolio system

Technology-acceptance tests are traditionally conducted after users have obtained at least a certain amount of experience with a technology. Taking college students who had no real interaction with a prospective eportfolio system, this study investigated both their perceptions of the system and the perceptions' association with attitude towards and intention of using the system. A pre-implementation value-assessment model was proposed, and the results indicate that for prospective users, attitudes appear to have the strongest significant direct effect on usage intentions. Perceived functional value serves as the preliminary conditions that mediate the effect of the perceived epistemic value on attitude. Perceived contextual value influences users' attitude and intention via the mediation of perceived epistemic value and perceived functional value. This model provides a systemic understanding of prospective users' perceptions of the system, and such an understanding can help change agents to examine their assumptions about prospective users' perceptions concerning the value and acceptance of a new technology.

[1]  Dong-Hee Shin,et al.  Applying the Technology Acceptance Model and Flow Theory to Cyworld User Behavior: Implication of the Web2.0 User Acceptance , 2008, Cyberpsychology Behav. Soc. Netw..

[2]  F. Herzberg,et al.  The motivation to work , 1960 .

[3]  M. Fusilier,et al.  An Investigation of the Integrated Model of User Technology Acceptance: Internet User Samples in Four Countries , 2008 .

[4]  R. Hoyle Structural equation modeling: concepts, issues, and applications , 1997 .

[5]  A. Mattila,et al.  The role of affective factors on perceived cruise vacation value , 2005 .

[6]  R. Selten,et al.  Bounded rationality: The adaptive toolbox , 2000 .

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

[8]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[9]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

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

[11]  Douglas Love,et al.  Portfolios to Webfolios and beyond: Levels of Maturation , 2004 .

[12]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[13]  G. Soutar,et al.  Consumer perceived value: The development of a multiple item scale , 2001 .

[14]  Atreyi Kankanhalli,et al.  Investigating user resistance to information systems implementation: a status quo bias perspective , 2009 .

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

[16]  James O. Carey,et al.  The systematic design of instruction , 1978 .

[17]  Rolph E. Anderson,et al.  Multivariate Data Analysis with Readings , 1979 .

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

[19]  A. Maslow Motivation and Personality , 1954 .

[20]  Peiling Wang,et al.  A cognitive model of document use during a research project. Study I. document selection , 1998 .

[21]  Keith Wetzel,et al.  The Diffusion of Electronic Portfolios In Teacher Education , 2005 .

[22]  M. Porter The Competitive Advantage Of Nations , 1990 .

[23]  Stephenie M. Hewett Electronic portfolios: Improving instructional practices , 2004 .

[24]  P. J. Sher,et al.  Integrating technology readiness into technology acceptance: The TRAM model , 2007 .

[25]  P. Bentler,et al.  Evaluating model fit. , 1995 .

[26]  Naveen Donthu,et al.  The Internet Shopper , 1999 .

[27]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[28]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[29]  William T. Hey,et al.  Using the internet effectively for advocacy in health education , 2004 .

[30]  Helen C. Barrett Researching Electronic Portfolios and Learner Engagement: The REFLECT Initiative , 2007 .

[31]  Rosidah Musa,et al.  Program Perceived Value and Program Satisfaction Influences on Store Loyalty: Insights from Retail Loyalty Progam , 2007 .

[32]  Gregory J. Brush,et al.  Comparing the Perceived Value of Information and Entertainment Mobile Services , 2008 .

[33]  H. Simon,et al.  Models of Man. , 1957 .

[34]  Jeffrey D. James,et al.  The Mediating Role of Perceived Value: Team Identification and Purchase Intention of Team-Licensed Apparel , 2007 .

[35]  Paul B. Kantor,et al.  Studying the Value of Library and Information Services. Part I: Establishing a Theoretical Framework. , 1997 .

[36]  Yan Xu,et al.  An Enhanced Technology Acceptance Model for Web-Based Learning , 2004, J. Inf. Syst. Educ..

[37]  K. B. Monroe Pricing: Making Profitable Decisions , 1990 .

[38]  Richard A. Spreng,et al.  Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business‐to‐business, services context: an empirical examination , 1997 .

[39]  Barbara L. Gross,et al.  Why we buy what we buy: A theory of consumption values , 1991 .

[40]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[41]  Jamal Ouadahi A qualitative analysis of factors associated with user acceptance and rejection of a new workplace information system in the public sector: a conceptual model , 2008 .

[42]  Javier Ayala Electronic Portfolios for Whom , 2006 .

[43]  Mariëlle E. H. Creusen,et al.  The Different Roles of Product Appearance in Consumer Choice , 2005 .

[44]  Ruth N. Bolton,et al.  A Multistage Model of Customers' Assessments of Service Quality and Value , 1991 .

[45]  Gill Kirkup,et al.  Learners in transition: the use of ePortfolios for women returners to science, engineering and technology , 2008 .

[46]  Yunjie Xu Relevance judgment in epistemic and hedonic information searches , 2007 .

[47]  Magid Igbaria,et al.  End-user computing effectiveness: A structural equation model , 1990 .

[48]  Johann Füller,et al.  Virtual product experience and customer participation—A chance for customer-centred, really new products , 2007 .

[49]  Peter Knight,et al.  Portfolio People: Teaching and Learning Dossiers and Innovation in Higher Education , 1999 .

[50]  A. Parasuraman,et al.  The impact of technology on the quality-value-loyalty chain: A research agenda , 2000 .

[51]  Zhilin Yang,et al.  Customer perceived value, satisfaction, and loyalty: The role of switching costs , 2004 .

[52]  T. G. Chowdhury,et al.  Pleasure or utility? Time planning style and Web usage behaviors , 2006 .

[53]  Chih-Chien Wang,et al.  Extending the technology acceptance model to mobile telecommunication innovation: The existence of network externalities , 2008 .

[54]  Patrick Y. K. Chau,et al.  An Empirical Assessment of a Modified Technology Acceptance Model , 1996, J. Manag. Inf. Syst..

[55]  Beth Glover Reed,et al.  THE USE OF ePORTFOLIOS IN EVALUATING THE CURRICULUM AND STUDENT LEARNING , 2008 .

[56]  Andreas Eggert,et al.  Customer perceived value: a substitute for satisfaction in business markets? , 2002 .

[57]  David Gefen,et al.  Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice , 2000 .

[58]  Anol Bhattacherjee,et al.  Beginning SAP R/3 Implementation at Geneva Pharmaceuticals , 2000, Commun. Assoc. Inf. Syst..

[59]  C. Lamb,et al.  Marketing's role in product and service quality , 1988 .

[60]  Peter M. Todd,et al.  Fast and frugal heuristics for environmentally bounded minds , 2001 .

[61]  Anthony W. Ulwick Turn customer input into innovation. , 2002, Harvard business review.

[62]  R. P. McDonald,et al.  Principles and practice in reporting structural equation analyses. , 2002, Psychological methods.