Jaideep Ghosh

Bio: Jaideep Ghosh is an academic researcher from Shiv Nadar University. The author has contributed to research in topics: Information technology & Information system. The author has an hindex of 6, co-authored 19 publications receiving 73 citations. Previous affiliations of Jaideep Ghosh include George Mason University & Council of Scientific and Industrial Research.

The Blockchain: Opportunities for Research in Information Systems and Information Technology

Abstract: Blockchain technology is regarded by many IT innovators and experts as one of the most significant technological innovations in recent years in the field of digitization of secure ownership of asse...

Functional information characteristics of large-scale research collaboration: network measures and implications

Abstract: This exploratory work sheds light on important functional information characteristics of the system of research collaboration by examining large-scale topological structures of co-authorship networks, created through the affiliative ties of scholarly articles published by collaborating researchers in peer-reviewed journals and conference proceedings. The model adopted in this work to understand the underlying collaboration system incorporates the strengths of collaborative coupling among the researchers. The questions we examine in this work are as follows: (1) What new functional characteristics emerge when combined structural effects of collaborative coupling and large-scale connectivity exist in the networks? (2) What information does a specific closeness distribution of collaborating researchers convey with regard to the flow of knowledge through collaborative activities? (3) What is the temporal dynamics of large-scale structure formation in these networks? The work involves a comparative study of these characteristics using the networks of two countries: India and the US. Our results have important implications for scientometric studies of collaboration research.

Big Data Analytics: A Field of Opportunities for Information Systems and Technology Researchers

Abstract: In recent years, the information systems research community has been experiencing an exciting time discovering and coming to grips with many unexplored or untapped opportunities for research that lie at the intersection of the disciplines of information systems and technology, big data, analytics, and data science. In this article, some of the critical aspects of the big data problem are discussed, and their importance as well as relevance to information systems research is shown. Also proposed are a number of research problems in this area that interested information systems scholars can address to delve more deeply into the field as well as to generate further active interest of the subject within the information systems community.

Concurrent, Overlapping Development and the Dynamic System Analysis of a Software Project

Abstract: In recent years concurrent, overlapping development activities of engineering tasks have proved to be a cost-effective and time-efficient way to build products geared toward meeting the demands of a competitive and quality-conscious market. In this study, we examine the structure and dynamics of a software project in information technology industrial research and development that has this methodology as its foundation. We first describe a number of software engineering aspects of the project that elucidate how various development activities in its concurrently unfolding component projects are overlapped and integrated to gradually build the product over time. Using the mathematical tools of dynamic systems analysis, we next derive a number of results that characterize the long-term, stable behavior of the project. These results are then used in a numerical simulation to illustrate a procedure by which relevant resources can be distributed across the components in a way that maintains continued stability of the project over time. Our modeling approach is flexible enough to allow the theoretical results and the simulation techniques to be easily generalized to study, in real time, the stability, maintenance, and management of similar concurrent projects. The usefulness of the method lies in motivating and refining managerial decisions that drive overlapping development activities of such projects.

Embedded information structures and functions of co-authorship networks: evidence from cancer research collaboration in India

Abstract: In this exploratory study, we analyze co-authorship networks of collaborative cancer research in India. The complete network is constructed from bibliometric data on published scholarly articles indexed in two well-known electronic databases covering two 6-year windows from 2000 to 2005 and 2006 to 2011 inclusive. Employing a number of important metrics pertaining to the underlying topological structures of the network, we discusses implications for effective policies to enhance knowledge generation and sharing in cancer research in the country. With some modifications, our methods can be applied without difficulty to examine policy structure of related disciplines in other countries of the world.

国际刊物《Scientometrics》文献计量研究

Abstract: 本文对国际科学计量学杂志《Ｓｃｉｅｎｔｏｍｅｔｒｉｃｓ》１９７９－１９９１年的研究论文内容、栏目、作者及国别和编委及国别作了计量分析，揭示出科学计量学研究的重点、活动的中心及发展趋势，说明了学科带头人在发展科学计量学这门新兴学科中的作用。

Invisible colleges : diffusion of knowledge in scientific communities

Abstract: No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course, reading will greatly develop your experiences about everything. Reading invisible colleges diffusion of knowledge in scientific communities is also a way as one of the collective books that gives many advantages. The advantages are not only for you, but for the other peoples with those meaningful benefits.