Using IT fashion investments to optimize an IT innovation portfolio’s risk and return

Information technology (IT) fashions are new emerging IT innovations that are going through a hyped phase. Consequently they are on the rise and their proponents claim they are a fundamental improvement offering solutions to real or perceived problems with IT. Naturally, IT fashions are characterized by both high risk and high expected returns. Hitherto, suitable methodologies to quantify the impacts of IT fashions have been virtually absent. Decisions on IT fashion engagements (ITFE) are often made following a gut feeling or jumping on the bandwagon. Research within this area provides mainly empirical or argumentative results emphasizing the importance of academic engagement with IT fashions. To support business decisions on IT innovations and to demonstrate the importance of steady ITFE within an IT innovation portfolio, this paper aims at a model that provides the optimal share of ITFE within an IT innovation portfolio under risk/return aspects. Using a real-world example from the financial industry, we obtain first results and recommendations for the role of ITFE within an IT innovation portfolio. We find that engagement with risky IT fashions can be used not only to maximize the value of an IT innovation portfolio but even to minimize its overall risk.

[1]  J. Ross,et al.  Beyond the Business Case: New Approaches to IT Investment , 2002 .

[2]  Gilbert Fridgen,et al.  Risk/Cost Valuation of Fixed Price IT Outsourcing in a Portfolio Context , 2009, ICIS.

[3]  D. L. Hanson,et al.  ON THE THEORY OF RISK AVERSION , 1970 .

[4]  Jee-Hae Lim,et al.  IT innovation persistence , 2007, Commun. ACM.

[5]  M. Blume,et al.  The Demand for Risky Assets , 1975 .

[6]  Günter Bamberg,et al.  Implications of constant risk aversion , 1981, Z. Oper. Research.

[7]  Eric Abrahamson Managerial Fads and Fashions: The Diffusion and Rejection of Innovations , 1991 .

[8]  David A. Nadler,et al.  The organization of the future: Strategic imperatives and core competencies for the 21st century , 1999 .

[9]  D. Bernoulli Exposition of a New Theory on the Measurement of Risk , 1954 .

[10]  Deepinder S. Bajwa,et al.  An Empirical Investigation into Factors Relating to the Adoption of Executive Information Systems: An Analysis of EIS for Collaboration and Decision Support* , 1997 .

[11]  Chris Westrup Discourse, Management Fashions, and ERP Systems , 2002, Global and Organizational Discourse about Information Technology.

[12]  Glenn J. Browne,et al.  Sequential Adoption Theory: A Theory for Understanding Herding Behavior in Early Adoption of Novel Technologies , 2009, J. Assoc. Inf. Syst..

[13]  Sue Newell,et al.  A cross-national comparison of the adoption of business process reengineering: fashion-setting networks? , 1998, J. Strateg. Inf. Syst..

[14]  K. Peffers,et al.  Rewards to Investors in Innovative Information Technology Applications: First Movers and Early Followers in ATMs , 1995 .

[15]  Robert G. Fichman,et al.  Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging Concepts and Methods , 2004, J. Assoc. Inf. Syst..

[16]  Chris Verhoef,et al.  IT portfolio management: a banker''s perspective on IT , 2003 .

[17]  K. Guy,et al.  Innovation and competitiveness: a review , 1998 .

[18]  Robert G. Fichman,et al.  Real Options and IT Platform Adoption: Implications for Theory and Practice , 2004, Inf. Syst. Res..

[19]  Izak Benbasat,et al.  Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology , 1995, MIS Q..

[20]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[21]  E. B. Swanson,et al.  Information systems innovation among organizations , 1994 .

[22]  E. Burton Swanson,et al.  Innovating Mindfully with Information Technology , 2004, MIS Q..

[23]  Eric Abrahamson,et al.  Management Fashion: Lifecycles, Triggers, and Collective Learning Processes , 1999 .

[24]  Nikolay Borissov,et al.  Cloud Computing – A Classification, Business Models, and Research Directions , 2009, Bus. Inf. Syst. Eng..

[25]  Jintae Lee,et al.  Information technology fashions: lifecycle phase analysis , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[26]  Björn Häckel,et al.  The Error Of Fixed Strategies In IT Innovation Investment Decisions , 2013, ECIS.

[27]  Grandon Gill,et al.  Fashion waves versus informing: response to Baskerville and Myers , 2009 .

[28]  U. Haner Innovation quality—a conceptual framework , 2002 .

[29]  Alastair G. Longley-Cook Risk-Adjusted Economic Value Analysis , 1998 .

[30]  Jan Herzhoff Convergence And Mobility - Just Another Fad Or Fashion? A Systems-Theoretical Analysis , 2010, ECIS.

[31]  Jackie Fenn,et al.  Mastering the Hype Cycle: How to Choose the Right Innovation at the Right Time , 2008 .

[32]  Matthias Kiessling,et al.  An Organizational Model for Managing IT Innovations in Non-IT Companies , 2011, 2011 44th Hawaii International Conference on System Sciences.

[33]  Jacky Swan,et al.  Knowledge Management - The Next Fad to Forget People? , 1999, ECIS.

[34]  C. Withers Central Limit Theorems for dependent variables. I , 1981 .

[35]  Hock-Hai Teo,et al.  European Conference on Information Systems ( ECIS ) 2007 IT Portfolio Management : A Framework for Making Strategic IT Investment Decisions , 2017 .

[36]  Richard Baskerville,et al.  Setting Our Research Agendas: Institutional Ecology, Informing Sciences, or Management Fashion Theory? , 2011, Commun. Assoc. Inf. Syst..

[37]  F. W. McFarlan,et al.  Portfolio approach to information systems , 1989 .

[38]  Paul Brown,et al.  Organizational Assimilation of Electronic Procurement Innovations , 2009, J. Manag. Inf. Syst..

[39]  Ping Wang,et al.  Popular Concepts beyond Organizations : Exploring New Dimensions of Information Technology Innovations , 2009 .

[40]  Christoph Rosenkranz,et al.  Web 2.0 in Healthcare: The Rise of a Fashion Wave? Examining the Discourse in the Literature , 2011, AMCIS.

[41]  Emil Numminen,et al.  Using portfolio theory to support requirements selection decisions , 2010, 2010 Fourth International Workshop on Software Product Management.

[42]  Dennis Kundisch,et al.  IT Sourcing Portfolio Management for IT Services Providers - A Risk/Cost Perspective , 2008, ICIS.

[43]  Ping Wang,et al.  Chasing the Hottest IT: Effects of Information Technology Fashion on Organizations , 2010, MIS Q..

[44]  Dean M. Hanink A Mean-Variance Model of MNF Location Strategy , 1985 .

[45]  Radhika Santhanam,et al.  A DECISION MODEL FOR INTERDEPENDENT INFORMATION SYSTEM PROJECT SELECTION , 1996 .

[46]  Indranil R. Bardhan,et al.  Prioritizing a Portfolio of Information Technology Investment Projects , 2004, J. Manag. Inf. Syst..

[47]  Varun Grover,et al.  Empirical Evidence on Swanson's Tri-Core Model of Information Systems Innovation , 1997, Inf. Syst. Res..

[48]  Richard Baskerville,et al.  Fashion Waves in Information Systems Research and Practice , 2009, MIS Q..

[49]  Jan Pries-Heje,et al.  Explanatory Design Theory , 2010, Bus. Inf. Syst. Eng..

[50]  C. Marlene Fiol,et al.  Waking Up! Mindfulness in the Face of Bandwagons , 2003 .

[51]  Ping Wang,et al.  Understanding IT Innovations Through Computational Analysis of Discourse , 2009, ICIS.

[52]  Gilbert Fridgen,et al.  Benefits Quantification in IT Projects , 2013, Wirtschaftsinformatik.

[53]  Robert J. Kauffman,et al.  Technology competition and optimal investment timing: a real options perspective , 2005, IEEE Transactions on Engineering Management.