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First published January 1996

Modeling the Process of Adoption of Telecommuting: Comprehensive Framework

Abstract

A comprehensive model of the telecommuting adoption process, incorporating employer and employee perspectives, is developed. A probabilistic modeling approach is taken. The employer decision to offer a telecommuting program is modeled as a function of motivations and constraints and of the perceived impacts of telecommuting on the organization's productivity and costs. The employee decision to adopt telecommuting is modeled as a function of motivations and constraints as well as of the impact of the program on lifestyle quality, work-related costs, and income. The results indicate that telecommuting has a significant potential to increase productivity and improve lifestyle quality, if the right program is designed for the right employee. The potential of telecommuting to reduce organization and employee work-related costs is perceived to be limited. An overall negative perception about the potential impact on productivity and lifestyle quality of telework center–based telecommuting programs is identified, pointing to a need for further research to assess the market for telework centers.

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References

1. Transportation Implications of Telecommuting. U.S. Department of Transportation, 1993.
2. Kugelmass J. Telecommuting: A Manager's Guide to Flexible Work Arrangements. Lexington Books, New York, N.Y., 1995.
3. Mokhtarian P. L. Telecommuting and Travel: State of the Practice, State of the Art. Transportation, Vol. 18, No. 4, 1991, pp. 319–342.
4. Bernardino A. T., and Ben-Akiva M. Adoption of Telecommuting: Modeling the Adoption Process. Proc., 1995 World Conference on Transportation Research, forthcoming.
5. Gordon G. E. The Dilemmas of Telework: Technology versus Tradition. In Telework: Present Situation and Future Development of a New Form of Work Organization (Korte W. B., Steinle W. J., and Robinson S., eds.), North-Holland, Amsterdam, Netherlands, 1988.
6. Edwards P., and Edwards S. Working from Home—Everything You Need To Know About Living and Working Under the Same Roof. Houghton Mifflin, 1985.
7. Olson M. H. Work at Home for Computer Professionals: Current Attitudes and Future Prospects. ACM Transactions on Office Information Systems, Vol. 7, No. 4, 1989, pp. 317–338.
8. Bernardino A. T., Ben-Akiva M., and Salomon I. Stated Preference Approach to Modeling the Adoption of Telecommuting. In Transportation Research Record 1413, TRB, National Research Council, Washington, D.C., 1993, pp. 22–30.
9. Sullivan M. A., Mahmassani H. S., and Yen J.-R. Choice Model of Employee Participation in Telecommuting Under a Cost-Neutral Scenario. In Transportation Research Record 1413, TRB, National Research Council, Washington, D.C., 1993, pp. 42–48.
10. Yen J.-R., Mahmassani H. S., and Herman R. Employer Attitudes and Stated Preferences Toward Telecommuting: An Exploratory Analysis. In Transportation Research Record 1463, TRB, National Research Council, Washington, D.C., 1994, pp. 15–25.
11. Mokhtarian P. L., and Salomon I. Modeling the Choice of Telecommuting: Setting the Context. Environment and Planning A, Vol. 26, No. 5, 1994, pp. 749–766.
12. Mokhtarian P. L., and Salomon I. Modeling the Choice of Telecommuting 2: A Case of the Preferred Impossible Alternative. Environment and Planning A, 1994.
13. Mokhtarian P. L., and Salomon I. Modeling the Choice of Telecommuting 3: Identifying the Choice Set and Estimating Binary Choice Models for Technology-Based Alternatives. Environment and Planning A, 1995.
14. Mahmassani H. S., Yen J.-R., Herman R., and Sullivan M. A. Employee Attitudes and Stated Preferences toward Telecommuting: Exploratory Analysis. In Transportation Research Record 1413, TRB, National Research Council, Washington, D.C., 1993, pp. 31–41.
15. Bernardino A. T. Adoption of Telecommuting: Modeling the Employer's and the Employee's Decision Processes. Ph.D. dissertation. Massachusetts Institute of Technology, Cambridge, 1995.
16. Bollen K. A. Structural Equations with Latent Variables. John Wiley & Sons, Inc., New York, N.Y., 1989.
17. Gopinath D. A. Modeling Heterogeneity in Discrete Choice Processes: Application To Travel Demand. Ph.D. dissertation. Massachusetts Institute of Technology, Cambridge, Feb. 1995.

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Article first published: January 1996
Issue published: January 1996

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© 1996 National Academy of Sciences.
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Authors

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Adriana Bernardino
Mercer Management Consulting/Massachusetts Institute of Technology, 1166 Avenue of the Americas, 32nd Floor, New York, N.Y. 10036
Moshe Ben-Akiva
Massachusetts Institute of Technology, 77 Massachusetts Ave., Room 1-181, Cambridge, Mass. 02139.

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