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A comprehensive model for IS development: Information processing perspective

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  1. Abstract
  2. Introduction
  3. Theoretical background and hypotheses development
    1. Risk management of IS development
    2. Task interdependence
    3. Coordination strategy
    4. Fit between task interdependence and coordination strategy
  4. The study's research design
    1. Subjects and sub-team composition
    2. Experimental tasks
  5. Experimental manipulations
    1. Experimental procedures
    2. Data analysis and results
  6. Discussions, implications and limitations
  7. Limitations
  8. Conclusions
  9. References

In order to develop IS (information systems) effectively, this study proposed a comprehensive model that delineates the relationships among contingency configurations of design variables, risk management, and software development success. Specifically, this paper examined the fit between coordination strategy and task interdependence, and their impact on risk resolution (such as reorienting initiative and modifying strategy) and IS success (such as productivity and process satisfaction). Drawing on information processing theory, we developed a research model. Experimental design was conducted to test the model. Projects with low task interdependence exhibited greater risk resolution achievement, productivity, and process satisfaction than projects with high task interdependence. Also, organic coordination strategy demonstrated better risk resolution achievement, productivity, and process satisfaction than those with mechanic coordination strategy. Finally, surprisingly, our findings regarding the interaction effect between task interdependence and coordination strategy only partially supported our hypotheses.

[...] To reduce the uncertainty and ambiguity due to the execution of both software development and risk resolution strategy, it is essential to provide a coordination strategy that exchanges information for the timely sequencing, scheduling, and synchronization of activities between team members. Consequently, IS developers may adjust risk resolution mission and strategy easily owing to the available information that is timely, has broad scope, has various forms of aggregation, and is integrated [17]. Thus, we have hypothesis 7 to 10. H7: The effect of coordination strategy will have a positive effect on risk management. [...]


[...] T., Taxonomy of Antecedents of Information Systems Success: Variable Analysis Studies,? A Journal of MIS, pp. 169-246. Lyytinen, K., Mathiassen, L., and Ropponen, J., Attention Shaping and Software Risk?A Categorical Analysis of Four Classical Risk Management Approaches,? Information System Research, pp. 233-255. Malhotra, A., Gosain, S., and EI Sawy, O. A., Absorptive Capacity Configurations in Supply Chains: Gearing for Partner-enabled Market Knowledge Creation,? MIS Quarterly, pp. 145-187. Rasch, R. and Tosi, H., Factors Affecting Software DevelopersPerformance: An Integrated Approach,?MIS ' Quarterly, pp. [...]


[...] The model is shown in Figure Subjects and sub-team composition Ninety-six subjects were derived from a population of graduate students enrolled in evening sections of a software engineering course that was offered by MIS (management of information systems) department at a public university. The students who participate in this experiment have full-time job in the daytime, and have experience of achieving software project or implementing IS as system analysts or application developers in a variety of industries such as construction, food, retail, computer, wholesale, financial, and so on. [...]

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