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Sudip Bhattacharjee
University of Connecticut
32Publications
15H-index
1,259Citations
Publications 31
Newest
#1Aindrila Chakraborty (UConn: University of Connecticut)
#2Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
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Abstract Internet availability and speed can impact a local community’s education, healthcare, safety, and economic development. Currently, there are few, if any, formal analyses to help communities make informed decisions on investments in internet and bandwidth expansion. This is in spite of the longstanding view posited by economic policy researchers that certain public infrastructure investments must be analyzed on a local government basis. Here, we adopt the local community focus and combin...
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#1Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
#2Varghese S. Jacob (UTD: University of Texas at Dallas)H-Index: 20
Last.Subodha Kumar (TU: Temple University)H-Index: 16
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#1Xue Bai (UConn: University of Connecticut)H-Index: 12
#2Sudip BhattacharjeeH-Index: 15
Last.Ram D. Gopal (UConn: University of Connecticut)H-Index: 26
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Product assortment and availability are important determinants of sales success for firms of industrial commodity products. Well-known pricing and promotion strategies for differentiated products do not translate well to such products where price is closely tied to the cost of the products. Consequently, firms with multiple stores of commodity products are faced with the problem of product assortment that incorporates varying geographic and demographic conditions of locations they serve. The pap...
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#1Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
#2Jose M. Cruz (UConn: University of Connecticut)H-Index: 16
We develop an end-to-end model of a closed-loop supply chain (CLSC), and identify the systemic decision making required for economic viability of participants in this chain. Economic viability is a key ingredient for environmentally sustainable behavior and policies, and our decision making framework includes producers, refurbishers and recyclers. We model the lifecycle of a consumer electronics product to examine the complex interactions among different participants and their decisions. Using d...
19 CitationsSource
Jan 1, 2012 in KDIR (International Conference on Knowledge Discovery and Information Retrieval)
#1Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
#2Fidan Boylu (UConn: University of Connecticut)H-Index: 4
Last.Ram D. Gopal (UConn: University of Connecticut)H-Index: 26
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#1Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
#2James R. Marsden (UConn: University of Connecticut)H-Index: 17
Last.Harpreet Singh (UTD: University of Texas at Dallas)H-Index: 5
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An information resource network (IRN) is a time-ordered and potentially interrelated set of information elements. Examples include papers within a research domain, blog postings dealing with a certain topic, and information records within a company. We present a structured analysis to identify influential building blocks and linkages in a general IRN and show that our approach can be used for large networks of information nodes. Our method compensates for biases that can emerge at the edges of s...
1 CitationsSource
#1Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
#2Ram D. Gopal (UConn: University of Connecticut)H-Index: 26
Last.Ramesh Sankaranarayanan (UConn: University of Connecticut)H-Index: 10
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This research commentary examines the changing landscape of digital goods, and discusses important emerging issues for IS researchers to explore. We begin with a discussion of the major technological milestones that have shaped digital goods industries such as music, movies, software, books, video games, and recently emerging digital goods. Our emphasis is on economic and legal issues, rather than on design science or sociological issues. We explore how research has been influenced by the major ...
17 CitationsSource
#1Jingguo Wang (UTA: University of Texas at Arlington)H-Index: 22
#2Zhiyong Yang (UTA: University of Texas at Arlington)H-Index: 15
Last.Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
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We demonstrate that two intertwined activities of music piracy, namely unauthorized obtaining and unauthorized sharing, are differentially influenced by the same social learning environment. We develop a structural model and test it using survey data from a prime demographic set of respondents who engage in music piracy. Considering behavioral heterogeneity, we employ a factor mixture modeling technique to classify respondents into different groups that highlight distinct patterns of social lear...
#1Jingguo Wang (UTA: University of Texas at Arlington)H-Index: 22
#2Zhiyong Yang (UTA: University of Texas at Arlington)H-Index: 15
Last.Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
view all 3 authors...
We demonstrate that two intertwined activities of music piracy, unauthorized obtaining and unauthorized sharing, are differentially influenced by the same social learning environment. We develop a structural model and test it using survey data from a prime demographic set of respondents who engage in music piracy. Considering behavioral heterogeneity, we employ a factor mixture modeling technique to classify respondents into different groups that highlight distinct patterns of social learning in...
13 CitationsSource
#1Sudip Bhattacharjee (UConn: University of Connecticut)H-Index: 15
#2Ram D. Gopal (UConn: University of Connecticut)H-Index: 26
Last.Rahul Telang (CMU: Carnegie Mellon University)H-Index: 34
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Music bundling has been the mainstay of the music industry for decades. Record companies and producers have selected bundles of songs and sold them as albums, their most important revenue source. Digitization and piracy of music have threatened this standard business model with consumers increasingly purchasing music a la carte. In this study, we analyze a strategy for designing successful albums through using new concepts of themed bundling. Thematic bundling can lower consumer search costs and...
16 CitationsSource
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