Conceptualising an IT mindset and its relationship to IT knowledge and intention to explore IT in the workplace

An “IT mindset” significantly influences public sector information technology (IT) adoption in least developed countries (LDCs). The purpose of this paper is to explore the IT mindset concept and its relationship with IT knowledge and intention to explore IT in the workplace.,The research used a mixed-methods approach in two phases. Qualitative work was conducted to formulate the conceptual framework and hypotheses, followed by a survey of 228 public sector officials in Bangladesh to test the hypotheses.,The study showed that an IT mindset can be conceptualised as comprising personal innovativeness with IT and IT beliefs. The IT mindset was significantly related to intention to explore IT use in the workplace and its components were influenced by an individual’s IT skills and IT awareness.,Future research could further explore the IT mindset concept and its antecedents and consequences in LDCs, where it is often related to successful IT adoption, and also in public and private organisations elsewhere.,The study furthers understanding of barriers to IT adoption in LDCs’ public sectors. Building IT knowledge through IT skills and awareness is required to orient mindsets to IT adoption.,Improved efficiency, productivity and transparency in the public sector through IT use have flow-on societal and economic benefits. The paper provides insights into greater facilitation of e-government and IT in the public sector.,The study is theoretically significant because the IT mindset concept has lacked in-depth study and requires clarification of its nature and role.

[1]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[2]  Brendan Eze Asogwa,et al.  Electronic Government as a Paradigm Shift for Efficient Public Services: opportunities and challenges for Nigerian government , 2013, Libr. Hi Tech.

[3]  Eileen M. Trauth,et al.  Critical Skills and Knowledge Requirements of IS Professionals: A Joint Academic/Industry Investigation , 1995, MIS Q..

[4]  David F. Midgley,et al.  Formative versus reflective measurement models: two applications of formative measurement | NOVA. The University of Newcastle's Digital Repository , 2008 .

[5]  Ritu Agarwal,et al.  Organizational Mechanisms for Enhancing User Innovation in Information Technology , 1999, MIS Q..

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

[7]  Odd Einar Olsen,et al.  Knowledge creation and reliable decision-making in complex emergencies. , 2012, Disasters.

[8]  Andrej Šorgo,et al.  The relationship among knowledge of, attitudes toward and acceptance of genetically modified organisms (GMOs) among Slovenian teachers , 2009 .

[9]  Lorne Olfman,et al.  The Importance of Learning Style in End-User Training , 1990, MIS Q..

[10]  Eileen M. Trauth,et al.  Situating culture in the global information sector , 2002, Inf. Technol. People.

[11]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[12]  Hector Quemada,et al.  Biosafety education relevant to genetically engineered crops for academic and non-academic stakeholders in East Africa , 2009 .

[13]  Ernest J. Wilson,et al.  The Information Revolution and Developing Countries , 2004 .

[14]  J. Durant,et al.  The relationship between knowledge and attitudes in the public understanding of science in Britain , 1995 .

[15]  Christian Wagner,et al.  Enhancing E‐government in Developing Countries: Managing Knowledge through Virtual Communities , 2003, Electron. J. Inf. Syst. Dev. Ctries..

[16]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[17]  Lazar Rusu,et al.  Critical Success Factors for Effective IT Governance in the Public Sector Organizations in a Developing Country: The Case of Tanzania , 2010, ECIS.

[18]  Mudiarasan Vasu Kuppusamy,et al.  Trends of Convergence and Divergence in the Information Economy: Lessons for Developing Countries , 2004, Electron. J. Inf. Syst. Dev. Ctries..

[19]  Shirley Gregor,et al.  A ‘sweet spot’ change strategy for a least developed country: leveraging e-Government in Bangladesh , 2014, Eur. J. Inf. Syst..

[20]  Terry Anthony Byrd,et al.  A methodology for construct development in MIS research , 2005, Eur. J. Inf. Syst..

[21]  Dorothy Leidner,et al.  Inside the mind of an IT champion , 2016, J. Decis. Syst..

[22]  R. Zmud.  INDIVIDUAL DIFFERENCES AND MIS SUCCESS: A REVIEW OF THE EMPIRICAL LITERATURE* , 1979 .

[23]  D. Leonard-Barton,et al.  Managerial influence in the implementation of new technology , 1988 .

[24]  M. Saridi,et al.  Knowledge and attitudes to sun exposure among adolescents in Korinthos, Greece. , 2009, Rural and remote health.

[25]  Geoffrey M. Maruyama.  Three Perspectives on the Psychology of Personal Adjustment. , 1987 .

[26]  Naresh K. Malhotra,et al.  Research Note - Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison , 2005, Inf. Syst. Res..

[27]  G. Johns.  The Essential Impact of Context on Organizational Behavior , 2006 .

[28]  Qiuping Li,et al.  Knowledge communication and translation - a knowledge transfer model , 2009, J. Knowl. Manag..

[29]  K. Eisenhardt.  Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[30]  D. G. Gardner,et al.  Computer use, self-confidence, and attitudes: A causal analysis , 1993 .

[31]  Starr Roxanne Hiltz,et al.  Productivity enhancement from computer-mediated communication: a systems contingency approach , 1988, CACM.

[32]  MaryEllen C. Sievert,et al.  Investigating computer anxiety in an academic library , 1988 .

[33]  G. Rose,et al.  PREDICTING GENERAL IT USE : APPLYING TAM TO THE ARABIC WORLD , 1998 .

[34]  David Graham Wastell,et al.  Diffusion - or delusion? Challenging an IS research tradition , 2005, Inf. Technol. People.

[35]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[36]  Izak Benbasat,et al.  The Influence of Business Managers' IT Competence on Championing IT , 2003, Inf. Syst. Res..

[37]  Tino Schuppan,et al.  E-Government in developing countries: Experiences from sub-Saharan Africa , 2009, Gov. Inf. Q..

[38]  Peter Meso,et al.  Integrating Capability Approach and Cognitive Constructivism to Study Technology Acceptance in Developing Countries , 2006, AMCIS.

[39]  Jason Bennett Thatcher,et al.  An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy , 2002, MIS Q..

[40]  Steven Hornik,et al.  Expert Systems Usage and Knowledge Acquisition: An Empirical Assessment of Analogical Reasoning in the Evaluation of Internal Controls , 1998 .

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

[42]  Paul T. Jaeger,et al.  E-government around the world: lessons, challenges, and future directions , 2003, Gov. Inf. Q..

[43]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[44]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[45]  Geoff Walsham,et al.  Are we making a better world with ICTs? Reflections on a future agenda for the IS field , 2012, J. Inf. Technol..

[46]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[47]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

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

[49]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

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

[51]  Kaisu Puumalainen,et al.  A Global Mindset — A Prerequisite for Successful Internationalization? , 2009 .

[52]  Thomas H. Davenport,et al.  Book review:Working knowledge: How organizations manage what they know. Thomas H. Davenport and Laurence Prusak. Harvard Business School Press, 1998. $29.95US. ISBN 0‐87584‐655‐6 , 1998 .

[53]  V. Grover,et al.  An assessment of survey research in POM: from constructs to theory , 1998 .

[54]  C. Avgerou.  Discourses on Innovation and Development in Information Systems in Developing Countries Research , 2011 .

[55]  Geoff Walsham,et al.  The Emergence of Interpretivism in IS Research , 1995, Inf. Syst. Res..

[56]  H. Kelman.  Compliance, identification, and internalization three processes of attitude change , 1958 .

[57]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[58]  Jason Plaks.  The Social Psychology of Motivation , 2010 .

[59]  S. Chaiken,et al.  The psychology of attitudes. , 1993 .

[60]  Anindya Chaudhuri,et al.  ICT for Development: solutions seeking problems? , 2012, J. Inf. Technol..

[61]  Poh Kam Wong,et al.  ICT production and diffusion in Asia Digital dividends or digital divide? , 2002, Inf. Econ. Policy.

[62]  Murray R. Barrick,et al.  Personality and Performance at the Beginning of the New Millennium: What Do We Know and Where Do We Go Next? , 2001 .

[63]  Richard Heeks,et al.  Understanding e-Government project trajectories from an actor-network perspective , 2007, Eur. J. Inf. Syst..

[64]  Dirk Vriens,et al.  Managing viable knowledge , 2002 .

[65]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[66]  Richard D. Johnson,et al.  A theoretical model of differential social attributions toward computing technology: when the metaphor becomes the model , 2000, Int. J. Hum. Comput. Stud..

[67]  A. Bryman.  Barriers to Integrating Quantitative and Qualitative Research , 2007 .

[68]  Shirley Gregor,et al.  A classification tree analysis of broadband adoption in Australian households , 2004, ICEC '04.

[69]  Henri Barki,et al.  Measuring User Participation, User Involvement, and User Attitude , 1994, MIS Q..

[70]  Iryna Pentina,et al.  Mobile payments adoption by US consumers: an extended TAM , 2017 .

[71]  N. Schillewaert,et al.  Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research , 2002 .

[72]  Kristi Jackson,et al.  Qualitative Data Analysis with NVivo , 2007 .

[73]  J. Edwards.  Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical Framework , 2001 .

[74]  J. Brannen.  Mixing Methods: The Entry of Qualitative and Quantitative Approaches into the Research Process , 2005 .

[75]  Patrick Sturgis,et al.  Science knowledge and attitudes across cultures: a meta-analysis , 2008 .

[76]  P. Attewell.  Technology Diffusion and Organizational Learning: The Case of Business Computing , 1992 .

[77]  Detmar W. Straub,et al.  Specifying Formative Constructs in Information Systems Research , 2007, MIS Q..

[78]  Keith M. Sturges,et al.  Mapping the Process: An Exemplar of Process and Challenge in Grounded Theory Analysis , 2005 .

[79]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[80]  Stephen G. Sireci,et al.  Unlabeling the Disabled: A Perspective on Flagging Scores From Accommodated Test Administrations , 2005 .

[81]  Michael A. Hitt,et al.  Putting it All Together: So What is a Global Mindset and Why is it Important? , 2007 .

[82]  P. Costa,et al.  Four ways five factors are basic , 1992 .

[83]  A. V. D. Ven,et al.  The Effectiveness of Nominal, Delphi, and Interacting Group Decision Making Processes , 1974 .

[84]  Jonas Gabrielsson,et al.  Work experience and the generation of new business ideas among entrepreneurs: An integrated learning framework , 2012 .

[85]  M. Rice,et al.  Information and Communication Technologies and the Global Digital Divide: Technology Transfer, Development, and Least Developing Countries , 2003 .

[86]  Carol Saunders,et al.  Editor's comments: information systems in developing countries , 2007 .

[87]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[88]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

[89]  Shirin Madon,et al.  Enhancing human resource development through information and communications technology , 2006 .

[90]  Yu-Hao Lee,et al.  Gaming Mindsets: Implicit Theories in Serious Game Learning , 2012, Cyberpsychology Behav. Soc. Netw..

[91]  Neil C. Ramiller,et al.  The Organizing Vision in Information Systems Innovation , 1997 .

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

[93]  Jean Hartley,et al.  Case study research , 2004 .

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

[95]  S. Bhatnagar.  Social Implications of Information and Communication Technology in Developing Countries: Lessons from Asian Success Stories , 2000, Electron. J. Inf. Syst. Dev. Ctries..

[96]  Jennifer Widom,et al.  The Lowell database research self-assessment , 2003, CACM.

[97]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[98]  Izak Benbasat,et al.  Research Report: Empirical Test of an EDI Adoption Model , 2001, Inf. Syst. Res..

[99]  K. Siddiqui,et al.  Towards good governance in Bangladesh : fifty unpleasant essays , 1996 .

[100]  George Ghinea,et al.  On the Domain-Specificity of Mindsets: The Relationship Between Aptitude Beliefs and Programming Practice , 2014, IEEE Transactions on Education.

[101]  C.A.G.M. van Montfort,et al.  An investigation of factors that influence senior executives to accept innovations in information technology , 2005 .

[102]  Helena Karsten,et al.  Global access to knowledge: Findings from academic research organisations in sub-Saharan Africa , 2003, Inf. Technol. People.

[103]  Peter Meso,et al.  Calling for programmed technology transfer and adoption strategies for sustainable LDC growth , 2005, CACM.

[104]  Michael Middleton,et al.  Factors Influencing Information Systems Success in Papua New Guinea Organisations: a case analysis , 2004, Australas. J. Inf. Syst..

[105]  Robert F. Easley,et al.  Research Note - How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use , 2008, Inf. Syst. Res..

[106]  J. Greene.  Is Mixed Methods Social Inquiry a Distinctive Methodology? , 2008 .

[107]  Colin Ashurst,et al.  Exploring IT-enabled innovation: A new paradigm? , 2012, Int. J. Inf. Manag..

[108]  C. Argyris.  Reasons and rationalizations : the limits to organizational knowledge , 2004 .

[109]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[110]  Marguerite Schneider,et al.  Phases of the Adoption of Innovation in Organizations: Effects of Environment, Organization and Top Managers , 2006 .

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

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

[113]  Shirley Gregor,et al.  Uncovering the Hidden Issues in E-Government Adoption in a Least Developed Country: The Case of Bangladesh , 2010, J. Glob. Inf. Manag..

[114]  Viswanath Venkatesh,et al.  Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems , 2013, MIS Q..

[115]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..