IS

Lacity, Mary C.

Topic Weight Topic Terms
0.339 qualitative methods quantitative approaches approach selection analysis criteria used mixed methodological aspects recent selecting combining
0.164 intelligence business discovery framework text knowledge new existing visualization based analyzing mining genetic algorithms related
0.162 research researchers framework future information systems important present agenda identify areas provide understanding contributions using
0.153 management practices technology information organizations organizational steering role fashion effective survey companies firms set planning
0.128 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed

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Janson, Marius A. 1 Willcocks, Leslie P. 1
contract 1 Empirical research 1 information systems research 1 interpretivist research methods 1
linguistic research 1 management of computing and IS 1 measuring IS success 1 outsourcing of IS 1
positivist research 1 strategic alliances 1

Articles (2)

AN EMPIRICAL INVESTIGATION OF INFORMATION TECHNOLOGY SOURCING PRACTICES: LESSONS FROM EXPERIENCE. (MIS Quarterly, 1998)
Authors: Abstract:
    Following Kodak's landmark information technology (IT) outsourcing decisions in 1989, the IT outsourcing market grew to 76 billion dollars in 1995. As the outsourcing market continues to grow and as new contracting options emerge, the accumulated experiences of firms offer significant opportunities for learning. This paper builds on a previous collection of data on 61 IT sourcing decisions made in 40 U.S. and U.K. organizations during the period 1991 to 1995. This paper reanalyzed transcribed interviews from 145 participants. Using "expected cost savings achieved" as an indicator of success, five best practices were identified in the case companies. First, selective outsourcing decisions had higher success rates than total outsourcing or total insourcing decisions. Second, senior executives and IT managers who made decisions together had higher success rates than either stakeholder group acting alone. Third, organizations that invited both internal and external bids had higher success rates than organizations that merely compared external bids with current IT costs. Fourth, short-term contracts achieved higher success rates than long-term contracts. Fifth, detailed fee-for-service contracts had higher success rates than other types of fee-for-service contracts. The critical elements of three contracting models are described: fee-for-service contracts, strategic alliances/partnerships, and buying-in of vendor resources. When the practices generated from the case studies are compared with current practices, we begin to understand which practices are proving robust and why new practices emerge. For example, in the participating companies, the rhetoric of a "partnership" was misused to describe contracts that are actually fee-for-service contracts. Today, practitioners who understand the inherent conflicts in fixed fee-for-service contracts are demanding what they perceive to be more favorable contracting options, such as flexibly-priced contracts, performance-based...
Understanding Qualitative Data: A Framework of Text Analysis Methods. (Journal of Management Information Systems, 1994)
Authors: Abstract:
    Information systems (IS) researchers have argued the need for using qualitative approaches, such as action research, ethnomethodology, phenomenology, and futures research, to supplement widely used quantitative approaches. Despite the interest in qualitative approaches, almost all IS articles published in leading IS journals during the previous decade continue to report the results of quantitative studies. The disparity between the interest in and adoption of qualitative approaches may be attributed to unfamiliarity with qualitative approaches for analyzing text data and the mistaken belief that all qualitative approaches are antipositivist. This paper makes qualitative methods more accessible to both researchers and practitioners by providing a framework that categorizes various text analysis approaches. The framework classifies methods as positivist, linguistic, and interpretivist, based on assumptions about the nature of text data, the researcher's influence on text interpretation, and the validity checks used to justify text interpretations. Thus, all researchers can consider qualitative text analysis methods regardless of their paradigmatic position.