A critical assessment of information technology adoption: technical, organisational and personal perspectives

In today's rapidly changing competitive environment, information technology (IT) within an organisation is continuously improved, driven by external push of technological advances and internal pull of increasing organisational needs. In order to achieve the greatest return on IT investment, the diffusion process of IT within the organisation should be examined carefully. This study aims to explore the effects of technical, organisational and personal characteristics on the diffusion of different information technologies within organisations, and to discover the relationship between the diffusion and infusion of these technologies and the effectiveness, efficiency and productivity of managerial decision making processes. Based on a thorough review of theoretical background and prior empirical studies in the area, an integrated research framework concerning IT diffusion context has been developed and tested via a survey applied on individuals from different organisations. Findings suggest that the antecedents of the diffusion patterns vary for different types of information technologies.

[1]  Gustavo O Collantes,et al.  Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles , 2007 .

[2]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[3]  Marcel Creemers,et al.  Understanding online purchase intentions: contributions from technology and trust perspectives , 2003, Eur. J. Inf. Syst..

[4]  Tugrul U. Daim,et al.  Organizational adoption of information technologies: Case of enterprise resource planning systems , 2008 .

[5]  Vachara Peansupap,et al.  Factors Enabling Information and Communication Technology Diffusion and Actual Implementation in Construction Organisations , 2005, J. Inf. Technol. Constr..

[6]  Robert G. Fichman,et al.  International Conference on Information Systems ( ICIS ) 1992 INFORMATION TECHNOLOGY DIFFUSION : A REVIEW OF EMPIRICAL RESEARCH , 2017 .

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

[8]  Ritu Agarwal,et al.  The antecedents and consequents of user perceptions in information technology adoption , 1998, Decis. Support Syst..

[9]  Shu-Sheng Liaw,et al.  Attitudes toward search engines as a learning assisted tool: approach of Liaw and Huang's research model , 2006, Comput. Hum. Behav..

[10]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

[11]  Math J. J. M. Candel,et al.  Attitude-based models for binary choices: A test for choices involving an innovation , 1999 .

[12]  Y. Tao,et al.  Understanding business-level innovation technology adoption , 2009 .

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

[14]  N. Basoglu,et al.  Information Technology (IT) Diffusion: An analysis of user behavior in the exploitation of IT , 2006, 2006 Technology Management for the Global Future - PICMET 2006 Conference.

[15]  Il Im,et al.  The effects of perceived risk and technology type on users' acceptance of technologies , 2008, Inf. Manag..

[16]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[17]  Chao-Min Chiu,et al.  Applying means-end chain theory to eliciting system requirements and understanding users perceptual orientations , 2005, Inf. Manag..

[18]  David C. Yen,et al.  The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics , 2009, Inf. Manag..

[19]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[20]  Tugrul U. Daim,et al.  Adoption Factors of Mobile Services , 2009, Int. J. Inf. Syst. Serv. Sect..

[21]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[22]  Tugrul U. Daim,et al.  Organizational Adoption of Enterprise Resource Planning Systems: A Conceptual Framework , 2007 .

[23]  Faith-Michael E. Uzoka,et al.  Organisational influences on e-commerce adoption in a developing country context using UTAUT , 2008, Int. J. Bus. Inf. Syst..

[24]  Steven C. Currall,et al.  Measuring trust between organizational boundary role persons. , 1995 .

[25]  Sang Hyun Kim,et al.  Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals , 2008, Inf. Manag..

[26]  Mareva Sabatier,et al.  Complementarities in organizational design and the diffusion of information technologies: An empirical analysis , 2007 .

[27]  Dong Hee Shin,et al.  Determinants of customer acceptance of multi-service network: An implication for IP-based technologies , 2009, Inf. Manag..

[28]  Younghwa Lee,et al.  An empirical investigation of anti-spyware software adoption: A multitheoretical perspective , 2008, Inf. Manag..

[29]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

[30]  M. Dolores Gallego,et al.  Designing a forecasting analysis to understand the diffusion of open source software in the year 2010 , 2008 .

[31]  Venkatesh,et al.  A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. , 2000, Organizational behavior and human decision processes.

[32]  Michael Workman,et al.  Expert decision support system use, disuse, and misuse: a study using the theory of planned behavior , 2005, Comput. Hum. Behav..

[33]  Shin-Yuan Hung,et al.  Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..

[34]  S. H. Kim,et al.  A methodology of constructing a decision path for IT investment , 2000, J. Strateg. Inf. Syst..

[35]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[36]  E. Rogers.  Diffusion of Innovations , 1962 .

[37]  Derek W. Bunn.  Multiple Perspectives for Decision-Making , 1985 .

[38]  Steve H. Barr,et al.  Propensity to adopt technological innovations: the impact of personal characteristics and organizational context , 1999 .

[39]  John Lim,et al.  A conceptual framework on the adoption of negotiation support systems , 2003, Inf. Softw. Technol..

[40]  James C. Wetherbe,et al.  The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing , 1990, Inf. Syst. Res..

[41]  Eric C. Turner,et al.  Innovation diffusion and technology acceptance: The case of PKI technology , 2006 .

[42]  Jae-Ho Shin,et al.  Functionality development dynamism in a diffusion trajectory: A case of Japan's mobile phones development , 2009 .

[43]  A. P. Sage,et al.  Emerging technology-evaluation methodology: with application to micro-electromechanical systems , 1993 .

[44]  K. Ramamurthy,et al.  Internet messaging: An examination of the impact of attitudinal, normative, and control belief systems , 2008, Inf. Manag..

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

[46]  Ronald M. Lee,et al.  A logic programming framework for planning and simulation , 1986 .

[47]  Toni M. Somers,et al.  A taxonomy of players and activities across the ERP project life cycle , 2004, Inf. Manag..

[48]  Matti Rossi,et al.  The impact of use context on mobile services acceptance: The case of mobile ticketing , 2009, Inf. Manag..

[49]  Jae-Nam Lee,et al.  The role of readiness for change in ERP implementation: Theoretical bases and empirical validation , 2008, Inf. Manag..

[50]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[51]  Chihiro Watanabe,et al.  Diffusion, Substitution and Competition Dynamism Inside the ICT Market: A Case of Japan , 2006 .

[52]  Nuri Basoglu,et al.  Adoption Factors of Mobile Services , 2006, 2006 International Conference on Mobile Business.

[53]  Marlene E. Burkhardt,et al.  SOCIAL INTERACTION EFFECTS FOLLOWING A TECHNOLOGICAL CHANGE: A LONGITUDINAL INVESTIGATION , 1994 .

[54]  Peter Roberts,et al.  Information technology acceptance in a sample of government employees: a test of the technology acceptance model , 2000, Interact. Comput..

[55]  Bp Robichaux.  Sex and beliefs about computer-based information systems: An examination of group support systems , 1994 .

[56]  M. Brosnan.  Modeling technophobia: a case for word processing , 1999 .

[57]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[58]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[59]  Veronica Wong,et al.  Market-level information and the diffusion of competing technologies: an exploratory analysis of the LAN industry , 2007 .

[60]  Ingoo Han,et al.  Effect of trust on customer acceptance of Internet banking , 2002, Electron. Commer. Res. Appl..

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

[62]  Tugrul U. Daim,et al.  Information technology diffusion in higher education , 2007 .

[63]  Shu-Sheng Liaw,et al.  An investigation of user attitudes toward search engines as an information retrieval tool , 2003, Comput. Hum. Behav..

[64]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[65]  Judy E. Scott,et al.  Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance , 2009, Inf. Manag..

[66]  Chang Liu,et al.  Determinants of accepting wireless mobile data services in China , 2008, Inf. Manag..

[67]  Fred J. Heemstra,et al.  Senior executives' use of information technology , 2001, Inf. Softw. Technol..

[68]  Prashant Palvia,et al.  The role of trust in e-commerce relational exchange: A unified model , 2009, Inf. Manag..

[69]  Echo Huang,et al.  Extending the theory of planned behaviour as a model to explain post-merger employee behaviour of IS use , 2004, Comput. Hum. Behav..

[70]  Eric T. G. Wang,et al.  Understanding Web-based learning continuance intention: The role of subjective task value , 2008, Inf. Manag..

[71]  Diane M. Strong,et al.  The effect of positive mood on intention to use computerized decision aids , 2008, Inf. Manag..

[72]  Mun Y. Yi,et al.  Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model , 2003, Int. J. Hum. Comput. Stud..

[73]  Basil D. Manos,et al.  The adoption of e-commerce for wood enterprises , 2009, Int. J. Bus. Inf. Syst..

[74]  Honglei Li,et al.  Technology acceptance model for internet banking: an invariance analysis , 2005, Inf. Manag..

[75]  Lori N. K. Leonard,et al.  Trust in consumer-to-consumer electronic commerce , 2008, Inf. Manag..

[76]  Tugrul U. Daim,et al.  Exploring the contribution of the design characteristics of Information Systems' user interface to the adoption process , 2009, Int. J. Bus. Inf. Syst..