Teams of Leaders Concept (ToL) and E-Business Operations

Information Technology (IT), and the subsequent broad acceptance of Information and Knowledge Management (IM/KM) methods revolutionized the way business is thought of and practiced. With e-business facilitating the ability to do more, more, faster, at a wider range, and to influence ever larger and more diverse consumer groups, the impact of technology on commerce, finance, and global economy has been frequently compared to the " paradigm shift " that Kuhn (1970) proposed as the essence of scientific revolution. Yet, despite the transformational influence of modernity on the ancient art, the fundamental principles of business have not changed: overreliance on the facilitation of business operations as the substitution for the adherence to the soundness of their conduct fuelled rampant growth of corporate laisse faire, and already twice brought the world to the brink of economic disaster (Stiglitz, 2003; Steingart, 2008). Ultimately, a new realization begins to emerge: e-business makes cut-throat competition, winning at any price, and " devil take the hindmost " philosophy (Chancellor, 1999) not only obsolete but perceived by the increasing number of business leaders as harmful if not even dangerous (e. Instead, the notion that " we are in this boat together " is gaining an ever wider acceptance: under the influence of technology the world has, indeed, changed (e.g., Canton, 2006). It started to converge, and now some even conceive it as " flat " (Friedman, 2005.) In reality, the world is probably not " flat " but far more three-dimensional and textured than it has ever been before. Technology converted point to point interactions into a complex set of relations that, based on networks

[1]  M. Lynne Markus,et al.  Toward A Theory of Knowledge Reuse : Types of Knowledge Reuse Situations and Factors in Reuse Success , 2022 .

[2]  Nirvikar Singh Encyclopedia of E-Business Development and Management in the Global Economy , 2010 .

[3]  Douglas Steven Hill An Examination of Standardized Product Identification and Business Benefit , 2012 .

[4]  F. Brown Imperatives for Tomorrow , 2002 .

[5]  Daniel J. Power,et al.  AN EMPIRICAL ASSESSMENT OF COMPUTER‐ASSISTED DECISION ANALYSIS* , 1986 .

[6]  Kishore Gopalakrishna Pillai,et al.  Calibration of consumer knowledge of the web , 2007 .

[7]  Elias G. Carayannis,et al.  The Nature and Dynamics of Discontinuous and Disruptive Innovations from a Learning and Knowledge Management Perspective , 2003 .

[8]  Paul S. Hempel,et al.  Transactive memory system links work team characteristics and performance. , 2007, The Journal of applied psychology.

[9]  Frank G. Goethals,et al.  Editorial Preface : International Journal of E-Business Research , 2022 .

[10]  Kathleen M. Carley,et al.  The Contingent Effects of Transactive Memory: When Is It More Beneficial to Know What Others Know? , 2006, Manag. Sci..

[11]  Duy Ngan Le,et al.  Web Service Discovery, Composition, and Interoperability , 2010 .

[12]  George M. Kasper,et al.  A Theory of Decision Support System Design for User Calibration , 1996, Inf. Syst. Res..

[13]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[14]  R. Hogarth,et al.  Confidence in judgment: Persistence of the illusion of validity. , 1978 .

[15]  J. W. Hutchinson,et al.  Knowledge Calibration: What Consumers Know and What They Think They Know , 2000 .

[16]  Dag von Lubitz,et al.  Networkcentric healthcare and bioinformatics: Unified operations within three domains of knowledge , 2006, Expert Syst. Appl..

[17]  Jan Bell,et al.  THE EFFECT OF PRESENTATION FORM ON JUDGMENT CONFIDENCE IN PERFORMANCE EVALUATION , 1984 .

[18]  Ivan Bedini,et al.  Handbook of Research on E-Business Standards and Protocols: Documents, Data and Advanced Web Technologies , 2012 .

[19]  Jeffrey E. Kottemann,et al.  What-if analysis and the illusion of control , 1991, Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences.

[20]  Marvin D. Troutt,et al.  A review of naturalistic decision making research with some implications for knowledge management , 2002, J. Knowl. Manag..

[21]  Latif Al-Hakim,et al.  Business Web Strategy: Design, Alignment, and Application , 2008 .

[22]  Miriam Meckel,et al.  Web 2.0 Concepts, Social Software and Business Models , 2010 .

[23]  D. Faust,et al.  Learning and maintaining rules for decreasing judgment accuracy. , 1986, Journal of personality assessment.

[24]  D. Wegner Transactive Memory: A Contemporary Analysis of the Group Mind , 1987 .

[25]  S. Oskamp OVERCONFIDENCE IN CASE-STUDY JUDGMENTS. , 1965, Journal of consulting psychology.

[26]  A. Tapp,et al.  New technology and the changing role of marketing , 2004 .

[27]  Fred D. Davis,et al.  User Perceptions of Decision Support Effectiveness: Two Production Planning Experiments * , 1994 .

[28]  Norman L. Chervany,et al.  An Experimental Evaluation of Information Overload in a Production Environment , 1974 .

[29]  Shelby H. McIntyre,et al.  An Experimental Study of the Impact of Judgment-Based Marketing Models , 1982 .

[30]  Rafael Bravo,et al.  From Online to Offline Through Brand Extensions and Alliances , 2012, Int. J. E Bus. Res..

[31]  Nigel Harvey,et al.  Confidence in judgment , 1997, Trends in Cognitive Sciences.

[32]  Les Gasser,et al.  A Design Theory for Systems That Support Emergent Knowledge Processes , 2002, MIS Q..

[33]  Dag von Lubitz,et al.  Networkcentric Healthcare: Outline of Entry Portal Concept , 2006, Int. J. Electron. Bus. Manag..

[34]  M. Frontini The Evaluation of IT Investments through Real Options , 2009 .