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Data Sourcing and Data Partnerships: Opportunities for IS Sourcing Research

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Information Systems Outsourcing

Part of the book series: Progress in IS ((PROIS))

Abstract

A void exists in information systems (IS) sourcing research: Organizations increasingly source data for varied purposes, but IS sourcing literature has not focused on data sourcing nor sourcing partnerships. We examine some of the implicit views in the IS literature regarding data that have not yet been well articulated. Exploring these views in terms of data sourcing arrangements offers future research opportunities.

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References

  • Aaltonen, A., Tempini, N. (2014). Everything counts in large amounts: a critical realist case study on data-based production. Journal of Information Technology, 29(1), 97–110.

    Google Scholar 

  • Abraham, R., Schneider, J., & vom Brocke, J. (2019). Data governance; A conceptual framework, structured review, and research agenda. International Journal of Information Management, 49, 424–438.

    Google Scholar 

  • Alaimo, C., Kallinikos, J., & Aaltonen, A. (2019). Handbook of digital innovation. Oxford University Press.

    Google Scholar 

  • Altman, P., & Linden, M. (2019). Managing emerging (Mis)alignments in data-driven servitization. Research-Technology Management, 2019, 37–45.

    Google Scholar 

  • Azoulay, P. (2004). Capturing knowledge within and across firm boundaries: Evidence from clinical development. American Economic Review, 94(5), 1591–1612.

    Google Scholar 

  • Batista, L., Davis-Poynter, S., Ng, I., & Maull, R. (2017). Servitization through outcome-based contract—A systems perspective from the defense industry. Inernational Journal of Production Economics, 192, 133–143.

    Google Scholar 

  • Beck, R., Muller-Bloch, C., & King, J. L. (2018). Governance in the BlockChain economy: A framework and research agenda. Journal of Association for Information Systems.

    Google Scholar 

  • Birney, E., Vamathevan, J., & Goodhand, P. (2017). Genomics in healthcare: GA4GH Looks to 2022.

    Google Scholar 

  • Blair, D. C. (1984). The management of information: Basic distinctions. In MIT Sloan Review (Vol. 26, pp. 13–23). Fall.

    Google Scholar 

  • Brohman, M. K., Watson, R. T., Piccoli, G., & Parasuraman, A. (2003). Communications of the ACM, 46(6), 47–51.

    Google Scholar 

  • Brunton, F., & Nissenbaum, H. (2011). Vernacular resistance to data collection and analysis: A political theory of obfuscation. First Monday, 16(5).

    Google Scholar 

  • Chen, Y., Bharadwaj, A., & Goh, K.-Y. (2017). An empirical analysis of intellectual property rights sharing in software development outsourcing. MIS Quarterly, 41(1), 131–161.

    Google Scholar 

  • Constantinides, P., Henfridsson, Ol, & Parker, G. G. (2018). Platforms and infrastructures in the digital age. Information Systems Research, 29(2), 381–400.

    Google Scholar 

  • Constantiou, I. D., & Kallinikos, J. (2015). New games, new rules: Big data and the changing context of strategy. Journal of Information Technology, 30, 44–57.

    Google Scholar 

  • de Corbière, F., & Rowe, F. (2013). From ideal data synchronization to hybrid forms of interconnections: Architectures, processes, and data, Journal of the Association for Information Systems, 14(10).

    Google Scholar 

  • de Reuver, M., Sorensen, C., & Basole, R. C. (2017). The digital platform: A research agenda. Journal of Information Technology.

    Google Scholar 

  • Earl, H., McKinney, Jr., Charles, J., & Yoos II. (2019). Information as a difference: Toward a subjective theory of information. European Journal of Information Systems, 28(4), 355–369.

    Google Scholar 

  • French, W., & Ebner, M. (1986). A practical look at research ethics. Journal of Data Collection, 26, 49–53.

    Google Scholar 

  • Gainer, V. S., Cagan, A., Castro, V. M. et al. (2016). The biobank portal for partners personalized medicine: A query tool for working with consented biobank samples, genotypes, and phenotypes using i2b2. Journal of Personalized Medicine, 6(11).

    Google Scholar 

  • George, G., Haas, P., & Pentland, A. (2014). Big data and management. Academy of Management Journal, 46(6), 321–326.

    Google Scholar 

  • Ghazawneh, A., & Henfridsson, O. (2013). Balancing platform control and external contribution in third-party development: The boundary resources model. Information Systems Journal, 23(2), 173–192.

    Google Scholar 

  • Huang, J., Henfridsson, O., Liu, M. J., & Newell, S. (2017). Growing on stereoids: Rapidly scaling the user base of digital ventures through digital innovation. MIS Quarterly, 41(1), 301–314.

    Google Scholar 

  • In, J., Bradley, R., Bichescu, B. C., & Autry, C. W. (2019). Supply chain information governance: Toward a conceptual framework. The International Journal of Logistics Management, 30(2), 506–526.

    Google Scholar 

  • Jones, M. (2019). What we talk about when we talk about (Big) data. Journal of Strategic Information Systems, 28, 3–16.

    Google Scholar 

  • Kallinikos, J., Aaltonen, A., & Marton, A. (2013). The ambivalent ontology of digital artifacts. MIS Quarterly, 37(2), 357–370.

    Google Scholar 

  • Kazan, E., Tan, C.-W., Lim, E. T. K., Sorensen, C., & Damsgaard, J. (2018). Disentangling digital platform competition: The case of UK mobile payment platforms. Journal of Management Information Systems.

    Google Scholar 

  • Khatri, V., & Brown, C. V. (2010). Designing data governance. Communications of the ACM, 53(1), 148–152.

    Google Scholar 

  • Kitchin, R. (2014). The data revolution. Thousand Oaks, CA: Sage Publications Inc.

    Google Scholar 

  • Konning, M., Westner, M., & Strahringer, S. (2019). A systematic review of recent developments in IT outsourcing research. Information Systems Management, 36(1), 78–96.

    Google Scholar 

  • Korolov, M. (2019). 6 Reasons Why AI projects Fail. CIO Magazine.

    Google Scholar 

  • Kotlarski, J., Oshri, I., Dibbern, J., & Mani, D. (2018). MIS quarterly research curations. IS Sourcing. www.misq.org.

  • Koutroumpis, P., & Leiponen, A. E. (2013). Understanding the value of (Big) data. In 2013 IEEE International Conference on Big Data (pp. 38–42).

    Google Scholar 

  • Koutroumpis, P., Leiponen, A., & Thomas, L. D. W (29 July 2017). The (Unfulfilled) potential of data marketplaces. ETLA Working Papers No 53. http://pub.etla.fi/ETLA-Working-Papers-53.pdf.

  • Lacity, M. C., Khan, S. A., & Yan, A. (2016). Review of the empirical business services sourcing literature; An update and future directions. Journal of Information Technology, 31, 269–328.

    Google Scholar 

  • Lee, P. (2015). Centralization, fragmentation, and replication in the genomic data commons. In University of California Davis Legal Studies Research Paper Series, No. 448.

    Google Scholar 

  • Lee, S. U., Zu, L., & Jeffery, R. (2017). Data governance for platform ecosystems: Critical factors and the state of practice. In Data Governance for Platform Ecosystems. Proceedings of Pacific Asian Conference on Information Systems, Association for Information Systems.

    Google Scholar 

  • Lehrer, C., Wieneke, A., Von Brocke, J., Jung, R., & Seidel, S. (2018). How big data analytics enables service innovation: materiality, affordance, and the individualization of service. Journal of Management Information Systems, 35, 2 424–460.

    Google Scholar 

  • Leonelli, S. (2015). What counts as scientific data? A relational framework. Philosophy of Science, 82(5), 810–821.

    Google Scholar 

  • Leonelli, S. (2016). Data-centric biology. Chicago, IL: The University of Chicago Press Books.

    Google Scholar 

  • Lyytinen, K., Sørensen, C., & Tilson, D. (2017). The generativity of digital infrastructures: A research note. In R. D., Galliers & M.-K. Stein (Eds.), Handbook on IS companion book, Routledge.

    Google Scholar 

  • Markus, M. L. (2001). Toward a theory of knowledge reuse: Types of knowledge reuse situations and factors in reuse success. Journal of Management Information Systems, 18(1), 57–93.

    Google Scholar 

  • Markus, M. L. (2016). Obstacles on the road to corporate data responsibility. In C. R., Sugimoto, H. R., Ekbia, & M., Mattioli (Eds.), Big data is not a monolith (Information Policy). MIT Press.

    Google Scholar 

  • Miller, A. R., & Tucker, C. (2014). Health information exchange, system size, and information silos. Journal of Health Economics, 33, 28–42.

    Google Scholar 

  • Monteiro, E., & Parmiggiani, E. (2019). Synthetic knowing: The politics of the internet of things. MIS Quarterly, 43(1), 167–184.

    Google Scholar 

  • Orlikowski, Wanda J., & Scott, S. V. (2014). What happens when evaluation goes online? Exploring apparatuses of valuation in the travel sector. Organization Science, 25(3), 868–891.

    Google Scholar 

  • Otto, B. (2011). Organizing data governance: Findings from the telecommunications industry and consequences for large service providers, Communications of the Association for Information Systems, 29(3).

    Google Scholar 

  • Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy and how to make them work for you. New York: WW Norton & Co.

    Google Scholar 

  • Perkmann, M., & Schildt, H. (2015). Open data partnerships between firms and Universities: The role of boundary organizations. Research Policy, 44, 1133–1143.

    Google Scholar 

  • Piccoli, G., & Pigni, F. (2013). Harvesting external data: The potential of digital data streams. MIS Quarterly, 12(1), 53–64.

    Google Scholar 

  • Pigni, F., Piccoli, G., & Watson, R. (2016). Digital Data Streams: Creating Value from the Real-time Flow of Big Data. California Management Review, 58(3), 5–25.

    Google Scholar 

  • Ribes, D., & Polk, J. B. (2014). Flexible relative to what? Change to research infrastructure. Journal of the Association for Information Systems, 15(Special Issue), 287–305.

    Google Scholar 

  • Ribes, D., & Polk, J. B. (2015). Organizing for ontological change: The Kernel of an AIDS research infrastructure. Social Studies of Science, 45(2), 214–241.

    Google Scholar 

  • Rothe, H., Jarvenpaa, S. L., & Penninger, A. (2019). How Do entrepreneurial firms appropriate value in bio data infrastructures: An exploratory qualitative study. In European Conference on Information Systems, Stockholm, Sweden.

    Google Scholar 

  • Schreieck, M., Wiesche, M., Krcmar, H. (2016). Design and governance of platform ecosystems—Key concepts and issues for future research. In Twenty-fourth European Conference on Information Systems (ECIS) Proceedings, Istanbul, Turkey.

    Google Scholar 

  • Shantz, A. S. (2018). Big data, bigger questions: Data-based business models and their implications for organizational boundaries, data governance, and society. Research in the Sociology of Organizations, 57, 305–329.

    Google Scholar 

  • Sorescu, A. (2017). Data-driven business model innovation. Journal of Product Innovation Management, 34(5), 691–696.

    Google Scholar 

  • Soundararajan, V., Khan, Z., & Tarba, S. Y. (2018). Beyond brokering: Sourcing agents, boundary work, and working conditions in global supply chains. Human Relations, 71(4), 481–509.

    Google Scholar 

  • Star, S. L., & Ruhleder, K. (1996). Steps toward an ecology of infrastructure: Design and access for large information spaces. Information Systems Research, 7(1), 111–134.

    Google Scholar 

  • Stark, Z., Boughtwood, T., Phillips, P., Christodoulou, J., et al. (2019). Australian genomics: A federated model for integrating genomics into healthcare. The American Journal of Human Genetics, 105, 7–14.

    Google Scholar 

  • Steinfield, C., Markus, M. L., & Wigand, R. T. (2011). Through a glass clearly: Standards, architecture, and process transparency in global supply chains. Journal of Management Information Systems, 28(2), 75–107.

    Google Scholar 

  • Susha, I., Janssen, M., & Verhulst, S. (2017). Data collaboratives as a new frontier of cross-sector partnerships in the age of open data: Taxonomy development. In Proceedings of the 50th Hawaii International Conference on System Sciences.

    Google Scholar 

  • Tallon, P. P., Ramirez, R. V., & Short, J. E. (2013–2014). The information artifact in IT governance: Toward a theory of information governance. Journal of Management Information Systems, 30(3), 141–177.

    Google Scholar 

  • Tilson, D., Lyytinen, K., & Sorensen, C. (2010). Digital infrastructures: The missing is research agenda. Information Systems Research, 21(4), 748–759.

    Google Scholar 

  • Tuomi, I. (1999–2000). Data is more than knowledge: Implications of the reversed knowledge hierarchy for knowledge management and organizational memory. Journal of Management Information Systems, 16(3), 103–117.

    Google Scholar 

  • Vermeulen, N., Parker, J. N., & Penders, B. (2013). Understanding life together: A brief history of collaboration in biology. Endeavour, 37(3), 162–171.

    Google Scholar 

  • Wadmann, S., Johansen, S., Lind, A., et al. (2013). Analytical perspectives on performance based management: An outline of theoretical assumptions in the existing literature. Health Economics, Policy and Law, 8(4), 511–527.

    Google Scholar 

  • Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5–33.

    Google Scholar 

  • Wellcome Trust. (2003). Sharing data from large-scale biological research projects: A system of tripartite responsibility. In Report of a Meeting Organized by the Wellcome Trust and Held on 14–15 January 2003 at Fort Lauderdale, USA. Williams, H.

    Google Scholar 

  • Winter, J. S., & Davidson, D. (2019). Big data governance of personal health information and challenges to contextual integrity. Information Society.

    Google Scholar 

  • Wixom, B. (2019). Data monetization: Generating financial returns from data and analytics—Summary of survey findings. In MIT CISR Working Paper, CISR WP. No. 427.

    Google Scholar 

  • Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). Research commentary—The new organizing logic of digital innovation: An agenda for information systems research. Information Systems Research, 21(4), 724–735.

    Google Scholar 

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Author information

Authors and Affiliations

  1. McCombs School of Business, University of Texas at Austin, Austin, USA

    Sirkka L. Jarvenpaa

  2. Bentley Unversity, Waltham, USA

    M. Lynne Markus

Authors
  1. Sirkka L. Jarvenpaa
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  2. M. Lynne Markus
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Correspondence to Sirkka L. Jarvenpaa .

Editor information

Editors and Affiliations

  1. Ourso College of Business, Louisiana State University, Baton Rouge, LA, USA

    Rudy Hirschheim

  2. School of Business, University Mannheim, Mannheim, Germany

    Armin Heinzl

  3. Institute for Information Systems, University of Bern, Bern, Switzerland

    Jens Dibbern

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Jarvenpaa, S.L., Markus, M.L. (2020). Data Sourcing and Data Partnerships: Opportunities for IS Sourcing Research. In: Hirschheim, R., Heinzl, A., Dibbern, J. (eds) Information Systems Outsourcing. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-030-45819-5_4

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