The future ain't what it used to be: Forecasting the impact of ICT on the public sphere

Abstract The American baseball play Yogi Berra once observed that “The future ain’t what it used to be”. Berra's colourful expression states a fundamental truth: the future as we perceive it today is, more often than not, not how it was perceived in the past. The proof is in the chequered history of forecasting in every field from politics to technology. e-Government and e-democracy are no exceptions. In this article we examine the problem of inaccurate forecasting of the impact of ICT in the public sector. To do this, we use a typology of forecast failure and then use this typology to examine three case of inaccurate forecasts of the impact of e-government and e-democracy over the past 25 years and ask why these predictions were wrong. Drawing on the lessons from these examples and others, we propose a series of steps/actions that can help to reduce the probability of such errors occurring in the future.

[1]  Sherry R. Amstein “A Ladder of Citizen Participation” , 1969 .

[2]  E. Segev,et al.  Social Media and the Arab Spring , 2013 .

[3]  Eva Bellin,et al.  Reconsidering the Robustness of Authoritarianism in the Middle East: Lessons from the Arab Spring , 2012 .

[4]  Christine E. Dunn,et al.  Geo-information tools for participatory spatial planning: Fulfilling the criteria for ‘good’ governance? , 2012 .

[5]  William Samuelson,et al.  Status quo bias in decision making , 1988 .

[6]  L. Winner The Whale and the Reactor , 2020 .

[7]  Richard Seymour The Twittering Machine , 2019, Bauhaus Futures.

[8]  P. Howard,et al.  Opening Closed Regimes: What Was the Role of Social Media During the Arab Spring? , 2011 .

[9]  N. Marechal Networked Authoritarianism and the Geopolitics of Information: Understanding Russian Internet Policy , 2017 .

[10]  C. P. Snow,et al.  The Two Cultures and the Scientific Revolution , 2013 .

[11]  Christopher Sitar Ski Conceptual issues in the study of centralization and information technology , 1991 .

[12]  Ronald A. Howard,et al.  Influence Diagrams , 2005, Decis. Anal..

[13]  P. Tetlock Expert Political Judgment: How Good Is It? How Can We Know? , 2005 .

[14]  King-Hang Wang,et al.  A Review of Contemporary E-voting : Requirements , Technology , Systems and Usability , 2017 .

[15]  Raymond C. Kurzweil,et al.  The Singularity Is Near , 2018, The Infinite Desire for Growth.

[16]  Helle Zinner Henriksen,et al.  E-government maturity models: Extension of the Layne and Lee model , 2006, Gov. Inf. Q..

[17]  Christine Bellamy,et al.  Informatisation and New Public Management: an alternative agenda for Public Administration , 1992 .

[18]  Rikard Lindgren,et al.  Evaluation of information system investments: a value dials approach to closing the theory-practice gap , 2015, J. Inf. Technol..

[19]  Philip E. Tetlock,et al.  Theory-Driven Reasoning About Plausible Pasts and Probable Futures in World Politics: Are We Prisoners of Our Preconceptions? , 1999 .

[20]  Thomas Poguntke,et al.  The decline of membership-based politics , 2014 .

[21]  Cees van der Eijk,et al.  Voter Turnout and the Dynamics of Electoral Competition in Established Democracies since 1945 , 2005, Perspectives on Politics.

[22]  Benjamin Sovacool,et al.  Ordering theories: Typologies and conceptual frameworks for sociotechnical change , 2017, Social studies of science.

[23]  José Ramón Gil-García,et al.  E-Government Portals in Mexico , 2006 .

[24]  R. Schaller,et al.  Moore's law: past, present and future , 1997 .

[25]  Frank Bannister,et al.  The fourth power: ICT and the role of the administrative state in protecting democracy , 2018, Inf. Polity.

[26]  René Rohrbeck,et al.  Scenario-based strategizing: Advancing the applicability in strategists' teams , 2017 .

[27]  H. Khondker Role of the New Media in the Arab Spring , 2011 .

[28]  Monique Snoeck,et al.  When Innovation Stumbles: Applying Sauer's Failure Model to the Flemish Road Sign Database Project , 2016 .

[29]  A. Chadwick Web 2.0: New Challenges for the Study of E-Democracy in an Era of Informational Exuberance , 2009 .

[30]  Noel Dempsey,et al.  Membership of UK political parties , 2019 .

[31]  Mark Gill,et al.  Powering Up: Revisiting Participatory GIS and Empowerment , 2016 .

[32]  Albert Jacob Meijer,et al.  Why don't they listen to us? Reasserting the role of ICT in Public Administration , 2007, Inf. Polity.

[33]  Howard Williams,et al.  Themes and issues in an information polity , 1990, J. Inf. Technol..

[34]  M. Mitchell Waldrop,et al.  The chips are down for Moore’s law , 2016, Nature.

[35]  Sandeep Purao,et al.  Looking for Clues to Failures in Large-Scale, Public Sector Projects: A Case Study , 2011, 2011 44th Hawaii International Conference on System Sciences.

[36]  Subhash Sharma,et al.  Resistance to technological innovations: An examination of the role of self-efficacy and performance satisfaction , 1991 .

[37]  Earl L. Taylor,et al.  The Diffusion of Innovation , 2013 .

[38]  D. Bunn,et al.  Interaction of judgemental and statistical forecasting methods: issues & , 1991 .

[39]  S. Coleman,et al.  Deliberative Manoeuvres in the Digital Darkness: E-Democracy Policy in the UK , 2014 .

[40]  T. Sharot The optimism bias , 2011, Current Biology.

[41]  B. Fischhoff,et al.  I knew it would happen: Remembered probabilities of once—future things , 1975 .

[42]  Dap Hartmann,et al.  Managing Technology Entrepreneurship and Innovation , 2015 .

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

[44]  P. Mair Ruling The Void: The Hollowing Of Western Democracy , 2013 .

[45]  George Wright,et al.  The origins and evolution of scenario techniques in long range business planning , 2005 .

[46]  R. Cialdini,et al.  Social influence: Social norms, conformity and compliance. , 1998 .

[47]  Cass R. Sunstein,et al.  #Republic: Divided Democracy in the Age of Social Media , 2017 .

[48]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[49]  S. Coleman Connecting Parliament to the Public via the Internet , 2004 .

[50]  Steven M. Radil,et al.  Rethinking PGIS: Participatory or (post)political GIS? , 2019 .

[51]  John A. Taylor,et al.  Governing in the Information Age , 1998 .

[52]  Frank Bannister,et al.  E-government Stage Models: A Contextual Critique , 2015, 2015 48th Hawaii International Conference on System Sciences.

[53]  Julia Skinner,et al.  Social Media and Revolution: The Arab Spring and the Occupy Movement as Seen through Three Information Studies Paradigms , 2011 .

[54]  Soon Ae Chun,et al.  Government 2.0: Making connections between citizens, data and government , 2010, Inf. Polity.

[55]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[56]  E. Schein Organizational Culture and Leadership , 1991 .

[57]  I. Berlin,et al.  The Hedgehog and the Fox: An essay on Tolstoy's View of History , 1954 .

[58]  Jungwoo Lee,et al.  Developing fully functional E-government: A four stage model , 2001, Gov. Inf. Q..

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

[60]  George Wright,et al.  Scenario methodology: New developments in theory and practice: Introduction to the Special Issue , 2013 .

[61]  Young Hoon Kwak,et al.  An Open Government Maturity Model for social media-based public engagement , 2012, Gov. Inf. Q..

[62]  Richard Kingston,et al.  The Role of Public Participation GIS in Local Service Delivery , 2009 .

[63]  Z. Allamki The Influence of Culture on the Successful Implementation of ICT Projects in Omani E-government , 2018 .

[64]  R. A. Cooke,et al.  Behavioral Norms and Expectations , 1988 .

[65]  D. West E‐Government and the Transformation of Service Delivery and Citizen Attitudes , 2004 .

[66]  G. Box Robustness in the Strategy of Scientific Model Building. , 1979 .

[67]  James L. McKenney,et al.  Bank of America: The Crest and Trough of Technological Leadership , 1997, MIS Q..

[68]  R. Bhagat Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations , 2002 .

[69]  G. Garson,et al.  The promise of digital government , 2004 .

[70]  S. Arnstein,et al.  Ladder of Citizen Participation , 2020 .

[71]  M. Adler,et al.  Gazing into the oracle : the Delphi method and its application to social policy and public health , 1996 .

[72]  David H. Coursey,et al.  Models of E-Government: Are They Correct? An Empirical Assessment , 2008 .

[73]  Donald F. Norris E‐Government 2020: Plus ça change, plus c'est la meme chose , 2010 .

[74]  Arild Jansen,et al.  The Understanding of ICTs in Public Sector and Its Impact on Governance , 2012, EGOV.

[75]  Yuan Long,et al.  Synthesizing e-government stage models - a meta-synthesis based on meta-ethnography approach , 2005, Ind. Manag. Data Syst..

[76]  Ruth M. Dixon,et al.  What We Have to Show for 30 Years of New Public Management: Higher Costs, More Complaints , 2015 .

[77]  A. Bandura The Explanatory and Predictive Scope of Self-Efficacy Theory , 1986 .

[78]  J. Scott Armstrong,et al.  Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared , 2007 .

[79]  L. Winner DO ARTIFACTS HAVE (cid:1) POLITICS? , 2022 .

[80]  Patrick Dunleavy,et al.  Digital Era Governance: IT Corporations, the State, and e-Government , 2007 .

[81]  George Wright,et al.  Exploring e-government futures through the application of scenario planning , 2004 .

[82]  Henrik Serup Christensen Political activities on the Internet: Slacktivism or political participation by other means? , 2011, First Monday.

[83]  Joseph Paul Martino,et al.  Technological Forecasting for Decisionmaking , 1975 .

[84]  G. Hofstede Dimensionalizing cultures: The Hofstede model in context , 2011 .

[85]  F. Fukuyama,et al.  The End of History, or a New Crisis?@@@The End of History and the Last Man. , 1993 .

[86]  D. Kahneman Thinking, Fast and Slow , 2011 .

[87]  James N. Danziger,et al.  THE IMPACTS OF INFORMATION TECHNOLOGY ON PUBLIC ADMINISTRATION: AN ANALYSIS OF EMPIRICAL RESEARCH FROM THE “GOLDEN AGE” OF TRANSFORMATION[1] , 2002 .

[88]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[89]  G. Hofstede,et al.  Measuring organizational cultures: A qualitative and quantitative study across twenty cases. , 1990 .

[90]  Patrick Dunleavy,et al.  The second wave of digital-era governance: a quasi-paradigm for government on the Web , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[91]  Frank Bannister,et al.  E-government and administrative power: the one-stop-shop meets the turf war , 2005, Electron. Gov. an Int. J..

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

[93]  D. Norris,et al.  Local E‐Government in the United States: Transformation or Incremental Change? , 2013 .

[94]  Alois Paulin,et al.  Through Liquid Democracy to Sustainable Non-Bureaucratic Government Harnessing the Power of ICTs for a Novel Form of Digital Government , 2014 .

[95]  Richard Heeks Most eGovernment-for-Development Projects Fail: How Can Risks be Reduced? , 2003 .

[96]  David L. Dill,et al.  Point/counterpointThe U.S. should ban paperless electronic voting machines , 2008, Commun. ACM.

[97]  David Osborne,et al.  Banishing Bureaucracy: The Five Strategies for Reinventing Government , 1997 .

[98]  Taewoo Nam,et al.  A tool for liberty or oppression? A cross-national study of the Internet's influence on democracy , 2017, Telematics Informatics.

[99]  L. Willcocks,et al.  Information technology in public services: Disaster faster? , 1993 .

[100]  Gill Ringland,et al.  The role of scenarios in strategic foresight , 2010 .

[101]  Megan Coylewright,et al.  Too Early to Tell: The Complexity of Decision Making for Aortic Stenosis Patients at Low Surgical Risk. , 2017, Circulation. Cardiovascular quality and outcomes.

[102]  John Maynard Keynes A Tract on Monetary Reform , 1923 .

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

[104]  P. Mair,et al.  Going, Going, ...Gone? The Decline of Party Membership in Contemporary Europe , 2012 .

[105]  L. Festinger A Theory of Social Comparison Processes , 1954 .

[106]  Claes H. de Vreese,et al.  Good News for the Future? Young People, Internet Use, and Political Participation , 2011, Commun. Res..

[107]  Lars Tummers,et al.  The Management of Change in Public Organisations: A Literature Review , 2014 .

[108]  Ross D. Shachter,et al.  Influence Diagrams for Team Decision Analysis , 2005, Decis. Anal..

[109]  Neeraj Bharadwaj,et al.  How crowdsourcing improves prediction of market-oriented outcomes , 2016 .

[110]  Scott G. Isaksen,et al.  A Review of Brainstorming Research: Six Critical Issues for Inquiry , 1998 .

[111]  J. Farmer,et al.  How Predictable is Technological Progress? , 2015, 1502.05274.

[112]  Monique Snoeck,et al.  PA Meets IS Research: Analysing Failure of Intergovernmental Information Systems via IS Adoption and Success Models , 2014, International Conference on Electronic Government.

[113]  R. Cialdini Influence: Science and Practice , 1984 .

[114]  Cliff Lampe,et al.  It's Complicated: Facebook Users' Political Participation in the 2008 Election , 2011, Cyberpsychology Behav. Soc. Netw..