Barriers to implementation of IT in educational institutions

Purpose – The purpose of this paper is to identify the most significant barriers to successful implementation of information technology (IT) in higher educational institutions (HEIs) of India. Although, educational institutions are investing in IT, they have been not been able to leverage it the same way as other business organizations. The present investigation will assist the management of HEIs to distinguish the key barriers affecting productive IT implementations and further take appropriate measures to deal with it. Design/methodology/approach – For the purpose of the study, focus group and semi-structured interviews were conducted with academicians, administrators, functional heads, and IT staff from various HEIs of India. This research attempts to discover the major barriers to successful implementation of IT in HEIs using an interpretive structural modeling (ISM) methodology. Furthermore, structural analysis and classification of barriers is done using MICMAC analysis. Findings – The results ident...

[1]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

[2]  Liming Zhang,et al.  Issues on Integrating Information Technology into Education Domain , 2009, 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing.

[3]  P. Altbach.  One-third of the globe: The future of higher education in China and India , 2009 .

[4]  Aarthi Mudaliar,et al.  Educational Resource Planning - A Framework for Educational Institutions , 2009, 2009 Second International Conference on Emerging Trends in Engineering & Technology.

[5]  Chee W. Chow,et al.  Strategy, IT applications for planning and control, and firm performance: The impact of impediments to IT implementation , 2006, Inf. Manag..

[6]  R. Shankar,et al.  ANALYSIS OF INTERACTIONS AMONG THE BARRIERS OF REVERSE LOGISTICS , 2005 .

[7]  Akshay A. Pujara,et al.  Information sharing in supply chain: Modeling the enablers , 2011 .

[8]  Ke Xin Bi,et al.  Interpretive Structural Modeling of Critical Success Factors for Implementing Green Process Innovation in Manufacturing Enterprises , 2011 .

[9]  Lidija Breznik,et al.  Can information technology be a source of competitive advantage , 2012 .

[10]  AMY H. I. LEE,et al.  An Integrated Interpretive Structural Modeling-Fuzzy analytic Network Process-Benefits, Opportunities, Costs and Risks Model for Selecting Technologies , 2011, Int. J. Inf. Technol. Decis. Mak..

[11]  Lorin M. Hitt,et al.  Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value , 1996, MIS Q..

[12]  E. Brynjolfsson,et al.  Computing Productivity: Firm-Level Evidence , 2003 .

[13]  Alex Twinomugisha.  The use of technology in education: experiences of the African Virtual University , 2003, International Conference on Information Technology: Research and Education, 2003. Proceedings. ITRE2003..

[14]  Virgilio Cruz-Machado,et al.  Using interpretive structural modelling to identify and rank performance measures: An application in the automotive supply chain , 2013 .

[15]  Khalid Bingimlas.  Barriers to the Successful Integration of ICT in Teaching and Learning Environments: A Review of the Literature , 2009 .

[16]  Rafiq Dossani,et al.  Goals and governance of higher education in India , 2012 .

[17]  Husnayati Hussin,et al.  ICT implementation barriers and organizational issues in Islamic-based Higher Education Institution: The case of Syarif Hidayatullah State Islamic University (UIN) Jakarta , 2010, Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World (ICT4M) 2010.

[18]  Shivraj Kanungo,et al.  A structured model for evaluating information systems effectiveness , 1999 .

[19]  A. Valle,et al.  Diffusion of nuclear energy in some developing countries , 2014 .

[20]  Varun Grover,et al.  The influence of information technology diffusion and business process change on perceived productivity: The IS executive's perspective , 1998, Inf. Manag..

[21]  Ali Tafti,et al.  Information Technology and Firm Profitability: Mechanisms and Empirical Evidence , 2012, MIS Q..

[22]  Frank A. Felder,et al.  Analysis of barriers to development in landfill communities using interpretive structural modeling , 2011 .

[23]  Zahir Irani,et al.  E-government adoption: architecture and barriers , 2005, Bus. Process. Manag. J..

[24]  George Wright,et al.  Barriers to successful implementation of information technology , 1994, ECIS.

[25]  Namchul Shin,et al.  An Integrative Framework for Contextual Factors Affecting IT Implementation , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[26]  William L. Fuerst,et al.  Information technology and sustained competitive advantage: a resource-based analysis , 1995 .

[27]  S. G. Deshmukh,et al.  Analyzing the interaction of critical factors of supplier development using Interpretive Structural Modeling—an empirical study , 2009 .

[28]  Suchismita Satapathy,et al.  Interpretive structural modeling for E-electricity utility service , 2012 .

[29]  Madhumita Bhattacharya.  Why Technology Innovations are Still a Cottage Industry in Education? , 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

[30]  Derek K. Hitchins,et al.  Systems Engineering: A 21st Century Systems Methodology , 2007 .

[31]  Suzanne Beaumaster,et al.  Local government IT implementation issues: a challenge for public administration , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[32]  B. E. Munkvold,et al.  Managing IT implementation in virtual enterprises , 1996, IEMC 96 Proceedings. International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies.

[33]  Vinod Kumar,et al.  Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective , 2011 .

[34]  Indranil R. Bardhan,et al.  Performance Impacts of Strategy, Information Technology Applications, and Business Process Outsourcing in U.S. Manufacturing Plants , 2007 .

[35]  K. Govindan,et al.  Analysis of third party reverse logistics provider using interpretive structural modeling , 2012 .

[36]  Sushil,et al.  The objectives of waste management in India: A futures inquiry , 1995 .

[37]  S. Deshmukh,et al.  Vendor Selection Using Interpretive Structural Modelling (ISM) , 1994 .

[38]  Pawan Agarwal,et al.  Indian Higher Education: Envisioning the Future , 2009 .