Number of co-authors:9
Number of publications with 3 favourite co-authors:Sudip Bhattacharjee:3Ram D. Gopal:3Kaveepan Lertwachara:3
James R. Marsden's 3 most productive colleagues in number of publications:Ram D. Gopal:12Robert W. Blanning:10Sudip Bhattacharje..:6
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James R. Marsden
Publications by James R. Marsden (bibliography)
Bhattacharjee, Sudip, Gopal, Ram D., Lertwachara, Kaveepan and Marsden, James R. (2007): Stochastic dynamics of music album lifecycle: An analysis of the new market landscape. In International Journal of Human-Computer Studies, 65 (1) pp. 85-93.
The rapid emergence of file sharing networks has enabled easier information dissemination and product access to potential consumers. At the same time, copyright protection technologies for securing digital products have been compromised repeatedly. To analyze the ensuing impacts on the market landscape for music products (a digital good), we develop a stochastic model of distribution of music album longevity on the Billboard Chart. We find that since the advent of file sharing networks and other market forces (such as legal changes in copyright laws, introduction of digital rights management systems and legitimate online music download offerings), the lifecycle of music albums has shortened with lowered probabilities of survival for each week. While the probability of survival past the first week is markedly lower, the future portends well for albums that do survive on the charts beyond the first week. This is consistent with the rapid diffusion of information on music albums in the changed market landscape. Integrating this insight with user activity on online computer networks, we estimate the continued success of albums on the charts. This analysis helps to create a more dynamic decision process on resource allocation to promote and market music products. Using the robust stochastic model parameters as a benchmark, we estimate a logistic regression model which helps us make quality decisions in an uncertain environment through early monitoring of the success of music albums.
© All rights reserved Bhattacharjee et al. and/or Academic Press
Bhattacharjee, Sudip, Gopal, Ram D., Lertwachara, Kaveepan and Marsden, James R. (2003): Economic of online music. In: Sadeh, Norman M., Dively, Mary Jo, Kauffman, Robert J., Labrou, Yannis, Shehory, Onn, Telang, Rahul and Cranor, Lorrie Faith (eds.) Proceedings of the 5th International Conference on Electronic Commerce - ICEC 2003 September 30 - October 03, 2003, Pittsburgh, Pennsylvania, USA. pp. 300-309.
Bhattacharjee, Sudip, Gopal, Ram D., Lertwachara, Kaveepan and Marsden, James R. (2003): No More Shadow Boxing with Online Music Piracy: Strategic Business Models to Enhance Revenues. In: HICSS 2003 2003. p. 200.
Marsden, James R. and Mathiyalakan, Sathasivam (1997): An Empirical Investigation Into the Relation Between Performance and Perception of Users With a What-If Facility. In Journal of Organizational Computing and Electronic Commerce, 7 (4) pp. 305-326.
The results of a laboratory study investigating relations between performance and perception are presented. Previous research has indicated that even if a lack of performance advantage exists by construction, decision support systems continue to be popular and are perceived to provide the desired support during decision making. We examined performance-perception relations of users with a what-if facility under conditions where there is a performance-based reward system and system usage costs. Several hypotheses were proposed and tested. We found that no performance advantage was obtained by using a what-if facility. We also found that participants were able to accurately portray the support provided. Implications for organizational managers, system designers, and system users are discussed.
© All rights reserved Marsden and Mathiyalakan and/or Lawrence Erlbaum Associates
Blanning, Robert W., King, David R., Marsden, James R. and Seror, Ann C. (1992): Intelligent Models of Human Organizations: The State of the Art. In Journal of Organizational Computing, 2 (2) pp. 123-130.
The application of concepts from cognitive science and artificial intelligence to organizational modeling is a new and exciting area of research that may yield useful insights into organization theory and behavior. In this introduction we offer a framework for organizational intelligence, review the literature in the area, and introduce the articles in this special issue.
© All rights reserved Blanning et al. and/or Ablex Publishing
Marsden, James R., Pingry, David E. and Wang, Ming-Chian Ken (1992): An Experimental Approach to Intelligent Organizational Design. In Journal of Organizational Computing, 2 (2) pp. 225-242.
Organizations in competitive markets have no guarantee of continued existence. The intelligent firm in such a setting is the firm that can adapt its structure, the one that has the knowledge necessary to change when change is optimal, and to make enough profit to survive. We argue that the intelligent firm must understand the relationships among its structure, its production inputs (including information technology), and its productivity. When market and technological conditions dictate that a change in structure is optimal, the intelligent firm, the successful firm, will change. We argue that carefully structured and controlled laboratory experiments provide an excellent source for obtaining the knowledge necessary for organizations to adapt strategically. We illustrate how such experiments can be used in determining the relationships between organizational forms and information system constructs, and in analyzing what mixes yield maximum performance in decision-theoretic and game theoretic settings.
© All rights reserved Marsden et al. and/or Ablex Publishing
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