Effect of Partnership Quality on IS Outsourcing Success: Conceptual Framework and Empirical Validation.

Author List: Lee, Jae-Nam; Kim, Young-Gul;
Journal of Management Information Systems, 1999, Volume 15, Issue 4, Page 29-61.
Recently, increasing attention has been paid to building successful partnerships in information systems (IS) outsourcing. This study establishes partnership quality as a key predictor of outsourcing success. The authors propose a theoretical framework for outsourcing partnership based on a social, rather than an economic, perspective. They identify the partnership-related variables from the relevant literature and clarify the concept of partnership quality by distinguishing between its components and its determinants. They then examine the impact of partnership quality on outsourcing success. Hypotheses on partnership quality were tested for 74 outsourcing relationships between 36 service receivers and 54 service providers. Results indicate that partnership quality may serve as a key predictor of outsourcing success. Partnership quality was found to be positively influenced by factors such as participation, communication, information sharing, and top management support, and negatively affected by age of relationship and mutual dependency.
Keywords: information systems outsourcing; outsourcing partnership; outsourcing success; partnership quality
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#274 0.355 outsourcing transaction cost partnership information economics relationships outsource large-scale contracts specificity perspective decisions long-term develop requirements economic association factors hypotheses
#198 0.206 factors success information critical management implementation study factor successful systems support quality variables related results key model csf importance determinants
#292 0.089 information research literature systems framework review paper theoretical based potential future implications practice discussed current concept propositions findings provided extant
#115 0.081 quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better include means van dimensions assessing
#173 0.060 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#108 0.055 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper