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\n  \n 2018\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Providing Software as a Service: a design decision(s) model.\n \n \n \n \n\n\n \n Dutt, A.; Jain, H.; and Kumar, S.\n\n\n \n\n\n\n Information Systems and e-Business Management, 16(2): 327–356. May 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ProvidingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{dutt_providing_2018,\n\ttitle = {Providing {Software} as a {Service}: a design decision(s) model},\n\tvolume = {16},\n\tissn = {1617-9846, 1617-9854},\n\tshorttitle = {Providing {Software} as a {Service}},\n\turl = {http://link.springer.com/10.1007/s10257-017-0356-9},\n\tdoi = {10.1007/s10257-017-0356-9},\n\tabstract = {We examine how Software as a Service (SaaS) providers make different design decisions using a theoretical model. We consider two non-functional attributes: modularity of the software architecture and the architectural performance of the software. We model the relationship of these two attributes with factors such as user preferences, user demand, and the price of the service. In a significant departure from traditional models of IS product development, we considered marginal cost and maintenance cost of providing SaaS service to recognize that the SaaS service has characteristics of both a product and a service. We show how to find the optimal values of design attributes that maximize SaaS provider’s profits, taking into account relevant factors such as user preferences, user demand and service price. Our research provides one of the first analytical models of optimal design decision making by SaaS providers. We use the model to further show how the SaaS providers should adjust the service design in response to changes in user preferences, associated costs and other relevant factors.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2020-05-06},\n\tjournal = {Information Systems and e-Business Management},\n\tauthor = {Dutt, Abhijit and Jain, Hemant and Kumar, Sanjeev},\n\tmonth = may,\n\tyear = {2018},\n\tpages = {327--356},\n}\n\n
\n
\n\n\n
\n We examine how Software as a Service (SaaS) providers make different design decisions using a theoretical model. We consider two non-functional attributes: modularity of the software architecture and the architectural performance of the software. We model the relationship of these two attributes with factors such as user preferences, user demand, and the price of the service. In a significant departure from traditional models of IS product development, we considered marginal cost and maintenance cost of providing SaaS service to recognize that the SaaS service has characteristics of both a product and a service. We show how to find the optimal values of design attributes that maximize SaaS provider’s profits, taking into account relevant factors such as user preferences, user demand and service price. Our research provides one of the first analytical models of optimal design decision making by SaaS providers. We use the model to further show how the SaaS providers should adjust the service design in response to changes in user preferences, associated costs and other relevant factors.\n
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\n \n\n \n \n \n \n \n How client capabilities, vendor configuration, and location impact BPO outcomes.\n \n \n \n\n\n \n Whitaker, J.; Kumar, S.; and Krishnan, M. S.\n\n\n \n\n\n\n Journal of Computer Information Systems, 58(2): 180–191. 2018.\n ISBN: 0887-4417 Publisher: Taylor & Francis\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{whitaker_how_2018,\n\ttitle = {How client capabilities, vendor configuration, and location impact {BPO} outcomes},\n\tvolume = {58},\n\tcopyright = {All rights reserved},\n\tnumber = {2},\n\tjournal = {Journal of Computer Information Systems},\n\tauthor = {Whitaker, Jonathan and Kumar, Sanjeev and Krishnan, Mayuram S.},\n\tyear = {2018},\n\tnote = {ISBN: 0887-4417\nPublisher: Taylor \\& Francis},\n\tpages = {180--191},\n}\n\n
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\n  \n 2015\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Using Social Network Analysis to Inform Management of Open Source Software Development.\n \n \n \n\n\n \n Kumar, S.\n\n\n \n\n\n\n In 2015 48th Hawaii International Conference on System Sciences, pages 5154–5163, January 2015. \n ISSN: 1530-1605\n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{kumar_using_2015,\n\ttitle = {Using {Social} {Network} {Analysis} to {Inform} {Management} of {Open} {Source} {Software} {Development}},\n\tdoi = {10.1109/HICSS.2015.609},\n\tabstract = {The community-based open source software (OSS) development model has emerged as a viable alternative to firm-based traditional software development. The naturally evolving structure of collaborative relationships among software developers is a major distinction between the OSS development model and the traditional development model. Conventional statistical methods that focus on individual cases and their attributes cannot properly inform the management of the naturally evolving collaborative relationships in open source project. We emphasize social network analysis as a method especially suitable for management of open source development projects, because it focuses on relations among individuals rather than attributes of individual cases. We show how open source development can be represented as a collaboration network graph and how the network can be characterized by various network structure metrics. We present four metrics as a starting point – size, centralization, density and clusterness, that are most useful in revealing collaborative relationships in OSS development process. We discuss how to generate collaboration network for OSS projects and how to calculate the metrics. We further describe how these metrics can assist in effective management of open source software development process. We conclude by presenting preliminary empirical evidence in support of the metrics.},\n\tbooktitle = {2015 48th {Hawaii} {International} {Conference} on {System} {Sciences}},\n\tauthor = {Kumar, Sanjeev},\n\tmonth = jan,\n\tyear = {2015},\n\tnote = {ISSN: 1530-1605},\n\tkeywords = {OSS development model, OSS development process, Open Source Software, Social Network Analysis, Software Development, collaboration network graph, collaborative relationship, community-based open source software development, conventional statistical method, firm-based traditional software development, groupware, network structure metrics, open source development project, open source project, open source software development process, public domain software, social network analysis, social networking (online), software developer, software engineering},\n\tpages = {5154--5163},\n}\n\n
\n
\n\n\n
\n The community-based open source software (OSS) development model has emerged as a viable alternative to firm-based traditional software development. The naturally evolving structure of collaborative relationships among software developers is a major distinction between the OSS development model and the traditional development model. Conventional statistical methods that focus on individual cases and their attributes cannot properly inform the management of the naturally evolving collaborative relationships in open source project. We emphasize social network analysis as a method especially suitable for management of open source development projects, because it focuses on relations among individuals rather than attributes of individual cases. We show how open source development can be represented as a collaboration network graph and how the network can be characterized by various network structure metrics. We present four metrics as a starting point – size, centralization, density and clusterness, that are most useful in revealing collaborative relationships in OSS development process. We discuss how to generate collaboration network for OSS projects and how to calculate the metrics. We further describe how these metrics can assist in effective management of open source software development process. We conclude by presenting preliminary empirical evidence in support of the metrics.\n
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\n  \n 2013\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Joint effect of team structure and software architecture in open source software development.\n \n \n \n\n\n \n Nan, N.; and Kumar, S.\n\n\n \n\n\n\n IEEE Transactions on Engineering Management, 60(3): 592–603. 2013.\n ISBN: 0018-9391 Publisher: IEEE\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{nan_joint_2013,\n\ttitle = {Joint effect of team structure and software architecture in open source software development},\n\tvolume = {60},\n\tcopyright = {All rights reserved},\n\tnumber = {3},\n\tjournal = {IEEE Transactions on Engineering Management},\n\tauthor = {Nan, Ning and Kumar, Sanjeev},\n\tyear = {2013},\n\tnote = {ISBN: 0018-9391\nPublisher: IEEE},\n\tpages = {592--603},\n}\n
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\n  \n 2012\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Information Sharing Beyond Firm Boundaries: A Taxonomy and Research Framework.\n \n \n \n\n\n \n Kumar, S.\n\n\n \n\n\n\n In Proceedings of the 16th Americas Conference on Information Systems (AMCIS) 2012, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{kumar_information_2012,\n\ttitle = {Information {Sharing} {Beyond} {Firm} {Boundaries}: {A} {Taxonomy} and {Research} {Framework}},\n\tshorttitle = {Information {Sharing} {Beyond} {Firm} {Boundaries}},\n\tabstract = {Information Technology has brought significant business benefits to organizations. IT has allowed greater information sharing within and across firms leading to performance improvements. However, a comprehensive understanding of how information sharing beyond firm boundaries results in business value for the firm and what factors affect the resulting business value is still lacking in both research and practice. This paper presents an integrated taxonomy and a research model that provides a framework for studying business value of information sharing beyond firm boundaries.},\n\tbooktitle = {Proceedings of the 16th {Americas} {Conference} on {Information} {Systems} ({AMCIS}) 2012},\n\tauthor = {Kumar, Sanjeev},\n\tyear = {2012},\n}\n\n
\n
\n\n\n
\n Information Technology has brought significant business benefits to organizations. IT has allowed greater information sharing within and across firms leading to performance improvements. However, a comprehensive understanding of how information sharing beyond firm boundaries results in business value for the firm and what factors affect the resulting business value is still lacking in both research and practice. This paper presents an integrated taxonomy and a research model that provides a framework for studying business value of information sharing beyond firm boundaries.\n
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\n  \n 2011\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Cost, Quality and Time Outcomes of Onshore and Offshore Business Process Outsourcing.\n \n \n \n\n\n \n Whitaker, J.; Kumar, S.; and Krishnan, M S\n\n\n \n\n\n\n In Proceedings of the 17th Americas Conference on Information Systems (AMCIS) 2011, pages 9, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{whitaker_cost_2011,\n\ttitle = {Cost, {Quality} and {Time} {Outcomes} of {Onshore} and {Offshore} {Business} {Process} {Outsourcing}},\n\tabstract = {Firms are increasingly using onshore and offshore business process outsourcing (BPO) to manage their primary and support functions and achieve their strategic objectives. Despite the growing significance of BPO, there is limited understanding of the performance outcomes for firms that engage in BPO. To study the performance implications of BPO, we first develop a conceptual model based on literature from operations management, performance measurement and vendor management. We then validate our conceptual model by performing an empirical study of data from 47 publicly traded firms in the U.S. We find that a firm’s performance measurement focus and strategy dictates whether the firm achieves quality, cost and/or time benefits from BPO, and that quality benefits from BPO lead to cost and time benefits. Our findings suggest that BPO clients and vendors should focus on quality first, and that quality benefits will lead to subsequent cost and time benefits.},\n\tlanguage = {en},\n\tbooktitle = {Proceedings of the 17th {Americas} {Conference} on {Information} {Systems} ({AMCIS}) 2011},\n\tauthor = {Whitaker, Jonathan and Kumar, Sanjeev and Krishnan, M S},\n\tyear = {2011},\n\tpages = {9},\n}\n\n
\n
\n\n\n
\n Firms are increasingly using onshore and offshore business process outsourcing (BPO) to manage their primary and support functions and achieve their strategic objectives. Despite the growing significance of BPO, there is limited understanding of the performance outcomes for firms that engage in BPO. To study the performance implications of BPO, we first develop a conceptual model based on literature from operations management, performance measurement and vendor management. We then validate our conceptual model by performing an empirical study of data from 47 publicly traded firms in the U.S. We find that a firm’s performance measurement focus and strategy dictates whether the firm achieves quality, cost and/or time benefits from BPO, and that quality benefits from BPO lead to cost and time benefits. Our findings suggest that BPO clients and vendors should focus on quality first, and that quality benefits will lead to subsequent cost and time benefits.\n
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\n \n\n \n \n \n \n \n Antecedents and Effect of IT Usage on Performance: A Research Framework and Empirical Study.\n \n \n \n\n\n \n Kumar, S.; Saldanha, T.; and Krishnan, M S\n\n\n \n\n\n\n In Proceedings of the 17th Americas Conference on Information Systems (AMCIS) 2011, pages 9, Detroit MI, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{kumar_antecedents_2011,\n\taddress = {Detroit MI},\n\ttitle = {Antecedents and {Effect} of {IT} {Usage} on {Performance}: {A} {Research} {Framework} and {Empirical} {Study}},\n\tabstract = {Information Technology (IT) Usage is an important construct in Information Systems research. While the relationship between IT Usage and Performance is well studied along with the antecedents of IT Usage, extant research has not yet fully explored an integrated model of IT Usage, its antecedents and impact on performance. In this paper, we propose an integrated theoretical framework for such an effort. We detail our preliminary results for a section of the theoretical model to demonstrate the viability of the research model. We find that for our research context, the preliminary results align well with theoretical predictions. We show strong statistical relationships between actual IT Usage and performance at the business unit level in both cross sectional and panel data analysis. We conclude by discussing the proposed data collection and analysis approach for testing the integrated theoretical framework for the relationship between IT Usage, its antecedents and impact on performance.},\n\tlanguage = {en},\n\tbooktitle = {Proceedings of the 17th {Americas} {Conference} on {Information} {Systems} ({AMCIS}) 2011},\n\tauthor = {Kumar, Sanjeev and Saldanha, Terence and Krishnan, M S},\n\tyear = {2011},\n\tpages = {9},\n}\n\n
\n
\n\n\n
\n Information Technology (IT) Usage is an important construct in Information Systems research. While the relationship between IT Usage and Performance is well studied along with the antecedents of IT Usage, extant research has not yet fully explored an integrated model of IT Usage, its antecedents and impact on performance. In this paper, we propose an integrated theoretical framework for such an effort. We detail our preliminary results for a section of the theoretical model to demonstrate the viability of the research model. We find that for our research context, the preliminary results align well with theoretical predictions. We show strong statistical relationships between actual IT Usage and performance at the business unit level in both cross sectional and panel data analysis. We conclude by discussing the proposed data collection and analysis approach for testing the integrated theoretical framework for the relationship between IT Usage, its antecedents and impact on performance.\n
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\n  \n 2009\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Empirical Analysis Of Antecedents Of Perceived Customer Satisfaction With Linux.\n \n \n \n\n\n \n Kumar, S.\n\n\n \n\n\n\n In Proceedings of the 15th Americas Conference on Information Systems (AMCIS) 2009, pages 12, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{kumar_empirical_2009,\n\ttitle = {Empirical {Analysis} {Of} {Antecedents} {Of} {Perceived} {Customer} {Satisfaction} {With} {Linux}},\n\tabstract = {Open Source Software (“OSS”) has attracted significant research interest but research has focused on the development process (“supply side”) of OSS leaving the “demand-side” of OSS relatively unexplored. Further, extant OSS research is lacking in empirical studies. In this study we fill the gap with an empirical analysis of antecedents of perceived customer satisfaction with Linux, the most popular OSS product. We used Ordered Logit technique to analyze a dataset collected through a survey of business-technology professionals. Our results suggest that perceived customer satisfaction with Linux is positively influenced by duration of use and the quality of third party support. We also found a strong relationship between perceived satisfaction with Linux and prevalence of other OSS products in the organization. Further, we found that perceived customer satisfaction with Linux is lower for large firms and higher when the largest distribution of Linux is used. Interestingly, internal IT support capability was found to have no significant effect on perceived customer satisfaction with Linux. Our results contribute to research by verifying traditional customer satisfaction models in an OSS context and also by extending these models to include unique aspects of OSS. On practice side, this research provides directions to the OSS community for achieving higher customer satisfaction.},\n\tlanguage = {en},\n\tbooktitle = {Proceedings of the 15th {Americas} {Conference} on {Information} {Systems} ({AMCIS}) 2009},\n\tauthor = {Kumar, Sanjeev},\n\tyear = {2009},\n\tpages = {12},\n}\n\n
\n
\n\n\n
\n Open Source Software (“OSS”) has attracted significant research interest but research has focused on the development process (“supply side”) of OSS leaving the “demand-side” of OSS relatively unexplored. Further, extant OSS research is lacking in empirical studies. In this study we fill the gap with an empirical analysis of antecedents of perceived customer satisfaction with Linux, the most popular OSS product. We used Ordered Logit technique to analyze a dataset collected through a survey of business-technology professionals. Our results suggest that perceived customer satisfaction with Linux is positively influenced by duration of use and the quality of third party support. We also found a strong relationship between perceived satisfaction with Linux and prevalence of other OSS products in the organization. Further, we found that perceived customer satisfaction with Linux is lower for large firms and higher when the largest distribution of Linux is used. Interestingly, internal IT support capability was found to have no significant effect on perceived customer satisfaction with Linux. Our results contribute to research by verifying traditional customer satisfaction models in an OSS context and also by extending these models to include unique aspects of OSS. On practice side, this research provides directions to the OSS community for achieving higher customer satisfaction.\n
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\n \n\n \n \n \n \n \n Impact of Service-Oriented Architecture Adoption on Electronic Supply Chain Performance.\n \n \n \n\n\n \n Kumar, S.\n\n\n \n\n\n\n In Proceedings of the 13th Americas Conference on Information Systems (AMCIS) 2009, pages 5, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{kumar_impact_2009,\n\ttitle = {Impact of {Service}-{Oriented} {Architecture} {Adoption} on {Electronic} {Supply} {Chain} {Performance}},\n\tabstract = {Service Oriented Architecture (“SOA”) has been viewed as a strategic approach to IT that provides increased flexibility. However, there is scant research evidence of SOA adoption leading to tangible performance benefits across a cross section of firms. We fill this research gap by empirically analyzing the impact of SOA adoption on the performance of electronic supply chains for a cross section of large US firms. We estimates the moderating impact of SOA adoption on relationships between supply chain performance and complexity and transparency of information sharing relationship between firms and their suppliers. Our results show that while SOA adoption mitigates the negative effects of information sharing complexity, it also reduces the positive benefits of information sharing transparency. Thus while SOA adoption can lead to potential improvements in performance, the extent of the benefit depends on characteristics of the information sharing relationship.},\n\tlanguage = {en},\n\tbooktitle = {Proceedings of the 13th {Americas} {Conference} on {Information} {Systems} ({AMCIS}) 2009},\n\tauthor = {Kumar, Sanjeev},\n\tyear = {2009},\n\tpages = {5},\n}\n\n
\n
\n\n\n
\n Service Oriented Architecture (“SOA”) has been viewed as a strategic approach to IT that provides increased flexibility. However, there is scant research evidence of SOA adoption leading to tangible performance benefits across a cross section of firms. We fill this research gap by empirically analyzing the impact of SOA adoption on the performance of electronic supply chains for a cross section of large US firms. We estimates the moderating impact of SOA adoption on relationships between supply chain performance and complexity and transparency of information sharing relationship between firms and their suppliers. Our results show that while SOA adoption mitigates the negative effects of information sharing complexity, it also reduces the positive benefits of information sharing transparency. Thus while SOA adoption can lead to potential improvements in performance, the extent of the benefit depends on characteristics of the information sharing relationship.\n
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\n  \n 2007\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n SOA and Information Sharing in Supply Chain:'How'Information is Shared Matters!.\n \n \n \n\n\n \n Kumar, S.; Dakshinamoorthy, V.; and Krishnan, M.\n\n\n \n\n\n\n In ICIS 2007 Proceedings, pages 11, 2007. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kumar_soa_2007,\n\ttitle = {{SOA} and {Information} {Sharing} in {Supply} {Chain}:'{How}'{Information} is {Shared} {Matters}!},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{ICIS} 2007 {Proceedings}},\n\tauthor = {Kumar, Sanjeev and Dakshinamoorthy, Vijay and Krishnan, Mayuram},\n\tyear = {2007},\n\tpages = {11},\n}\n\n
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\n \n\n \n \n \n \n \n \n Does SOA Improve the Supply Chain? An Empirical Analysis of the Impact of SOA Adoption on Electronic Supply Chain Performance.\n \n \n \n \n\n\n \n Kumar, S.; Dakshinamoorthy, V.; and Krishnan, M.\n\n\n \n\n\n\n In 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), pages 171b–171b, Waikoloa, HI, January 2007. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"DoesPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kumar_does_2007,\n\taddress = {Waikoloa, HI},\n\ttitle = {Does {SOA} {Improve} the {Supply} {Chain}? {An} {Empirical} {Analysis} of the {Impact} of {SOA} {Adoption} on {Electronic} {Supply} {Chain} {Performance}},\n\tisbn = {978-0-7695-2755-0},\n\tshorttitle = {Does {SOA} {Improve} the {Supply} {Chain}?},\n\turl = {https://ieeexplore.ieee.org/document/4076720/},\n\tdoi = {10.1109/HICSS.2007.184},\n\tabstract = {Service Oriented Architecture (“SOA”) has been viewed as a strategic approach to IT that provides increased flexibility. However, there is scant research evidence of SOA adoption leading to tangible performance benefits across a cross section of firms. We fill this research gap by empirically analyzing the impact of SOA adoption on the performance of electronic supply chains for a cross section of large US firms. We find that adoption of SOA does lead to better performance of the electronic supply chain. We also find that SOA moderates firm’s ability to leverage electronically integrated customers to achieve better electronic supply chain performance. Further, we show that the impact of SOA adoption is fully mediated through its moderation effect on the firm’s ability to leverage electronically integrated customers to achieve higher electronic supply chain performance. Lastly, the paper discusses how IT managers can make informed SOA adoption decisions.},\n\tlanguage = {en},\n\turldate = {2020-05-06},\n\tbooktitle = {2007 40th {Annual} {Hawaii} {International} {Conference} on {System} {Sciences} ({HICSS}'07)},\n\tpublisher = {IEEE},\n\tauthor = {Kumar, Sanjeev and Dakshinamoorthy, Vijay and Krishnan, M.S.},\n\tmonth = jan,\n\tyear = {2007},\n\tpages = {171b--171b},\n}\n\n
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\n Service Oriented Architecture (“SOA”) has been viewed as a strategic approach to IT that provides increased flexibility. However, there is scant research evidence of SOA adoption leading to tangible performance benefits across a cross section of firms. We fill this research gap by empirically analyzing the impact of SOA adoption on the performance of electronic supply chains for a cross section of large US firms. We find that adoption of SOA does lead to better performance of the electronic supply chain. We also find that SOA moderates firm’s ability to leverage electronically integrated customers to achieve better electronic supply chain performance. Further, we show that the impact of SOA adoption is fully mediated through its moderation effect on the firm’s ability to leverage electronically integrated customers to achieve higher electronic supply chain performance. Lastly, the paper discusses how IT managers can make informed SOA adoption decisions.\n
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\n \n\n \n \n \n \n \n Bank of One: Empirical Analysis of Peer-to-Peer Financial Marketplaces.\n \n \n \n\n\n \n Kumar, S.\n\n\n \n\n\n\n In Proceedings of the 13th Americas Conference on Information Systems (AMCIS) 2007, pages 9, 2007. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kumar_bank_2007,\n\ttitle = {Bank of {One}: {Empirical} {Analysis} of {Peer}-to-{Peer} {Financial} {Marketplaces}},\n\tabstract = {Peer to peer financial marketplaces provide a platform for individual lenders and borrowers to interact and transact. These marketplaces disintermediate the traditional financial services business models. In this exploratory paper we study the operation and effectiveness of one such marketplace: Prosper.com. We analyze six months of lender, borrower and loan repayment data to answer preliminary research questions about lender behavior, market effectiveness and antecedents of loan default. We show that lenders mostly behave rationally and charge appropriate risk premiums for antecedents of loan default. We also show that there are mismatches between risk premiums charged and relative importance of factors that drive loan default. We then explore the dynamic process of lenders adjusting their lending strategies to reduce these mismatches. We analyze the effectiveness of the group reputation used in the marketplace and show that it is not effective in promoting good borrower behavior. Our analysis provides a base for future research in this exciting and evolving context. Our results provide directions for practice applications as well as future research in design of financial marketplaces, investing and risk mitigation strategies and improving the effectiveness of peer-to-peer financial marketplaces.},\n\tlanguage = {en},\n\tbooktitle = {Proceedings of the 13th {Americas} {Conference} on {Information} {Systems} ({AMCIS}) 2007},\n\tauthor = {Kumar, Sanjeev},\n\tyear = {2007},\n\tpages = {9},\n}\n\n
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\n Peer to peer financial marketplaces provide a platform for individual lenders and borrowers to interact and transact. These marketplaces disintermediate the traditional financial services business models. In this exploratory paper we study the operation and effectiveness of one such marketplace: Prosper.com. We analyze six months of lender, borrower and loan repayment data to answer preliminary research questions about lender behavior, market effectiveness and antecedents of loan default. We show that lenders mostly behave rationally and charge appropriate risk premiums for antecedents of loan default. We also show that there are mismatches between risk premiums charged and relative importance of factors that drive loan default. We then explore the dynamic process of lenders adjusting their lending strategies to reduce these mismatches. We analyze the effectiveness of the group reputation used in the marketplace and show that it is not effective in promoting good borrower behavior. Our analysis provides a base for future research in this exciting and evolving context. Our results provide directions for practice applications as well as future research in design of financial marketplaces, investing and risk mitigation strategies and improving the effectiveness of peer-to-peer financial marketplaces.\n
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\n  \n 2006\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Metrics to Support Open Source Software Adoption Decisions.\n \n \n \n\n\n \n Kumar, S.; and Wang, L.\n\n\n \n\n\n\n In Proceedings of the 12th Americas Conference on Information Systems (AMCIS) 2006, pages 10, 2006. \n \n\n\n\n
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@inproceedings{kumar_metrics_2006,\n\ttitle = {Metrics to {Support} {Open} {Source} {Software} {Adoption} {Decisions}},\n\tabstract = {Open Source Software (“OSS”) is gaining popularity and the number of available OSS products is rapidly increasing. Increasingly business managers need to evaluate and select OSS products for adoption. However, OSS adoption presents unique risks and there is a need for metrics to assess these risks. In this research-in-progress we leverage publicly available OSS project information such as source code and CVS database to build a suite of metrics to help managers evaluate OSS products and assess OSS adoption risks. We also provide real project examples for calculation and interpretation of these metrics.},\n\tlanguage = {en},\n\tbooktitle = {Proceedings of the 12th {Americas} {Conference} on {Information} {Systems} ({AMCIS}) 2006},\n\tauthor = {Kumar, Sanjeev and Wang, Li},\n\tyear = {2006},\n\tpages = {10},\n}\n\n
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\n Open Source Software (“OSS”) is gaining popularity and the number of available OSS products is rapidly increasing. Increasingly business managers need to evaluate and select OSS products for adoption. However, OSS adoption presents unique risks and there is a need for metrics to assess these risks. In this research-in-progress we leverage publicly available OSS project information such as source code and CVS database to build a suite of metrics to help managers evaluate OSS products and assess OSS adoption risks. We also provide real project examples for calculation and interpretation of these metrics.\n
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