Wireless Communications

We explore the theoretical foundations of value creation in e-business by examining how 59 American and European e-businesses that have recently become publicly traded corporations create value. We observe that in e-business new value can be created by the ways in which transactions are enabled. Grounded in the rich data obtained from case study analyses and in the received theory in entrepreneurship and strategic management, we develop a model of the sources of value creation. The model suggests that the value creation potential of e-businesses hinges on four interdependent dimensions, namely: efficiency, complementarities, lock-in, and novelty. Our findings suggest that no single entrepreneurship or strategic management theory can fully explain the value creation potential of e-business. Rather, an integration of the received theoretical perspectives on value creation is needed. To enable such an integration, we offer the business model construct as a unit of analysis for future research on value creation in e-business. A business model depicts the design of transaction content, structure, and governance so as to create value through the exploitation of business opportunities. We propose that a firm's business model is an important locus of innovation and a crucial source of value creation for the firm and its suppliers, partners, and customers. Copyright © 2001 John Wiley & Sons, Ltd.

https://uazuay.edu.ec/bibliotecas/e-business/Value_Creation_in_E-Business.pdf

Value creation in E-business

The author systematically examines one of the important issues of information — establishing the market price. He introduces the concept of «search» — where a buyer wanting to get a better price, is forced to question sellers. The article deals with various aspects of finding the necessary information.

Economics of Information

The 2008 crash has left all the established economic doctrines - equilibrium models, real business cycles, disequilibria models - in disarray. Part of the problem is due to Smith’s "veil of ignorance": individuals unknowingly pursue society’s interest and, as a result, have no clue as to the macroeconomic effects of their actions: witness the Keynes and Leontief multipliers, the concept of value added, fiat money, Engel’s law and technical progress, to name but a few of the macrofoundations of microeconomics. A good viewpoint to take bearings anew lies in comparing the post-Great Depression institutions with those emerging from Thatcher and Reagan’s economic policies: deregulation, exogenous vs. endoge- nous money, shadow banking vs. Volcker’s Rule. Very simply, the banks, whose lending determined deposits after Roosevelt, and were a public service became private enterprises whose deposits determine lending. These underlay the great moderation preceding 2006, and the subsequent crash.

The Economic Institutions of Capitalism

Multi-objective optimization using genetic algorithms: A tutorial

Induction of fuzzy decision trees

Due to the proliferation of information systems and technology, businesses increasingly have the capability to accumulate huge amounts of customer data in large databases. However, much of the useful marketing insights into customer characteristics and their purchase patterns are largely hidden and untapped. Current emphasis on customer relationship management makes the marketing function an ideal application area to greatly benefit from the use of data mining tools for decision support. A systematic methodology that uses data mining and knowledge management techniques is proposed to manage the marketing knowledge and support marketing decisions. This methodology can be the basis for enhancing customer relationship management. q 2001 Elsevier Science B.V. All rights reserved.

/pdf/knowledge-management-and-data-mining-for-marketing-4sb8xhbu7x.pdf

Knowledge management and data mining for marketing

Genetic algorithms utilize populations of individual hypotheses that converge over time to a single optimum, even within a multimodal domain. This paper examines methods that enable genetic algorithms to identify multiple optima within multimodal domains by maintaining population members within the niches defined by the multiple optima. A new mechanism, dynamic niche sharing, is developed that is able to efficiently identify and search multiple niches (peaks) in a multimodal domain. Dynamic niche sharing is shown to perform better than two other methods for multiple optima identification, standard sharing and deterministic crowding.

Genetic algorithms with dynamic niche sharing for multimodal function optimization

Based on the concept of task/technology fit, a research framework and exploratory case study are presented that assess success factors and impacts of mobile business applications. Preliminary empirical evidence for the applicabilit y of the framework was obtained for a mobile electronic procurement system implemented at a Fortune 100 company. For different user groups, the relationships between the characteristics of technology and tasks, usage, and organizational impacts were analyzed. The results indicate a need for simple but highly functional mobile applications that complement existing information systems. The study provides a basis for further research to improve the design and management of business applications based on emerging technologies.

Success Factors and Impacts of Mobile Business Applications: Results from a Mobile e-Procurement Study

The emerging information economy is transforming the business landscape. Global information infrastructure, digital technologies, and electronic commerce activities all demand new perspectives regarding business models, strategies, and practices. The book, ‘Information Rules: A Strategic Guide to the Network Economy,’ by Carl Shapiro and Hal R. Varian is one of a slew of new books attempting to provide those perspectives. The authors have successfully made the book a popular reading for professionals and academics alike by blending in-depth analysis with interesting examples and good managerial insights.

Michael J. Shaw

Papers

Induction of fuzzy decision trees

Knowledge management and data mining for marketing

Genetic algorithms with dynamic niche sharing for multimodal function optimization

Success Factors and Impacts of Mobile Business Applications: Results from a Mobile e-Procurement Study

Information Rules: A Strategic Guide to the Network Economy