Information-intensive services are being globally disaggregated as corporations respond to the pressures of increasing global competition, and take advantage of the opportunities made available by the progress of information technology and the emerging global work force. In order to globally disaggregate services, corporations must decide whether or not to carry out a service activity within the organization, and where to locate it, within or outside the geographic boundary of the home-base country. This paper analyzes the opportunities and challenges of global disaggregation of information-intensive services. Specifically, the paper proposes a taxonomy of disaggregation, and develops a theoretical framework that identifies the criteria and guidelines for successfully selecting service activities to be globally disaggregated.services, globalization, disaggregation, information intensity, customer contact, insourcing, outsourcing
The purpose of this paper is to trace the history of research in service operations. After discussing the role of services in national economies and the importance of research in service operations, we discuss major trends in service operations research. For simplicity of exposition, this discussion is organized in terms of big ideas that have proved to be influential in setting the research agenda in service operations. In the final section, we identify high-potential research areas where research needs are particularly urgent in the near future. #
In this article, we introduce the use of Latent Semantic Analysis (LSA) as a technique for uncovering the intellectual structure of a discipline. LSA is an emerging quantitative method for content analysis that combines rigorous statistical techniques and scholarly judgment as it proceeds to extract and decipher key latent factors. We provide a stepwise explanation and illustration for implementing LSA. To demonstrate LSA's ability to uncover the intellectual structure of a discipline, we present a study of the field of Operations Management. We also discuss a number of potential applications of LSA to show how it can be used in empirical Operations Management research, specifically in areas that can benefit from analyzing large volumes of unstructured textual data.
Abstract:This paper presents the results of our empirical research in measuring the size and structure of the US information economy in 1992 and 1997, and in assessing the growth experienced by different industries and sectors since Porat's research on the US information economy in 1967. The study indicates that the share of the information economy in total GNP grew from about 46 percent in 1967 to about 56 percent in 1992, and to 63 percent in 1997. The study further indicates that during this time period the share of service sector information activities in total GNP increased substantially, while the shares of non-service sectors declined correspondingly. The industries displaying the highest growth rates include business services, and medical and educational services. The paper also provides a critical assessment of Porat's methodology and suggests specific improvements that may be made to obtain a more plausible measure of the size and structure of the information economy.
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