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dc.contributor.authorNunamaker, Jay F.
dc.contributor.authorTwyman, Nathan W.
dc.contributor.authorGiboney, Justin Scott
dc.contributor.authorBriggs, Robert O.
dc.date.accessioned2017-08-10T22:14:06Z
dc.date.available2017-08-10T22:14:06Z
dc.date.issued2017-06
dc.identifier.citationNunamaker, J. F., Twyman, N. W., Giboney, J. S., & Briggs, R. O. (2017). CREATING HIGH-VALUE REAL-WORLD IMPACT THROUGH SYSTEMATIC PROGRAMS OF RESEARCH. MIS Quarterly, 41(2), 335-351.en
dc.identifier.issn0276-7783
dc.identifier.urihttp://hdl.handle.net/10150/625247
dc.description.abstractAn ongoing conversation in the Information Systems literature addresses the concern, "How can we conduct research that makes a difference?" A shortage of high-impact research will, over time, challenge the identity and weaken the viability of IS as an academic discipline. This paper presents the systematic high-impact research model (SHIR), an approach to conducting high-impact research. SHIR embodies the insight gained from three streams of high-impact research programs spanning more than 50 years. The SHIR framework rests on the proposition that IS researchers can produce higher-impact contributions by developing long-term research programs around major real-world issues, as opposed to ad hoc projects addressing a small piece of a large problem. These persistent research programs focus on addressing the entirety of an issue, by leveraging multidisciplinary, multiuniversity research centers that employ a breadth of research methods and large-scale projects. To function effectively, SHIR programs must be sustained by academic and practitioner partnerships, research centers, and outreach activities. We argue that SHIR research programs increase the likelihood of high impact research.
dc.language.isoenen
dc.publisherSOC INFORM MANAGE-MIS RES CENTen
dc.relation.urlhttp://misq.org/creating-high-value-real-world-impact-through-systematic-programs-of-research.htmlen
dc.rightsCopyright © of MIS Quarterly.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectResearch impacten
dc.subjectIS research methodologyen
dc.subjectmultidisciplinary researchen
dc.subjectvalue of IS researchen
dc.subjectmultimethodological researchen
dc.subjectsystematic high-impact research modelen
dc.subjectSHIRen
dc.subjectresearch transitionen
dc.titleCREATING HIGH-VALUE REAL-WORLD IMPACT THROUGH SYSTEMATIC PROGRAMS OF RESEARCHen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Eller Coll Managementen
dc.identifier.journalMIS QUARTERLYen
dc.description.note60 month embargo; Published online: June 2017en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
html.description.abstractAn ongoing conversation in the Information Systems literature addresses the concern, "How can we conduct research that makes a difference?" A shortage of high-impact research will, over time, challenge the identity and weaken the viability of IS as an academic discipline. This paper presents the systematic high-impact research model (SHIR), an approach to conducting high-impact research. SHIR embodies the insight gained from three streams of high-impact research programs spanning more than 50 years. The SHIR framework rests on the proposition that IS researchers can produce higher-impact contributions by developing long-term research programs around major real-world issues, as opposed to ad hoc projects addressing a small piece of a large problem. These persistent research programs focus on addressing the entirety of an issue, by leveraging multidisciplinary, multiuniversity research centers that employ a breadth of research methods and large-scale projects. To function effectively, SHIR programs must be sustained by academic and practitioner partnerships, research centers, and outreach activities. We argue that SHIR research programs increase the likelihood of high impact research.


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