6th International Young Scientist Congress (IYSC-2020) will be Postponed to 8th and 9th May 2021 Due to COVID-19. 10th International Science Congress (ISC-2020).  International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Survey of the Relation between Organizational Structure and Informational Overload in Case Study: Payame Noor University

Author Affiliations

  • 1Department of Psychology, Payame Noor University, PO BOX 19395-3697 Tehran, IRAN

Res. J. Recent Sci., Volume 2, Issue (6), Pages 52-57, June,2 (2013)


Increasing mass information is one of uppermost puzzles for managers who forced to confront with them. On one hand there is also deficient correct information. They may find it difficult to determine which information constitutes corporations’ strategic sources and lead to assets. But that is the question, what a proper solution is. Partly related to design and performance of management information systems. Another part of the solution can be found in design and establishment of appropriate organizational structure and management of organizational information sources. This research surveys the link between organizational structure and informational overload in PNU of Iran. Robbins Theory was the basis in assessment of organizational structure made. Three dimensions to organizational structure: centralization, formalization, complexity, with some indicators for each one, has been evaluated by the theory. This research which by purpose, method, nature of the subject and specified directions is applied, is kind of correlational research (concordance or relational). Moreover data collecting has been done through survey and questionnaires that are in common use for evaluation. Population universe was 217 in people included managers and experts of the PNU. Reliability of the questionnaires applying Retest technique, the indicator of reliability coefficientwhich is kind of co relational coefficient, distinguished by SPSS. This research has one major and 3 minor hypothesis. Final analysis of data verified the result: the st hypo (centralization) with 0.95 confidence level and the 2nd hypo (formalization) with 0.99 confidence levels. But the 3rdhypo (complexity) rejected. The major hypo (organizational structure) has been verified with 099. It is mentioned that the most impact on changes of informational overload variable caused by changes of formalization variable.


  1. Norton B., Handling Information Overload, Society Management Informational Center, UK, 10-30 (2003)
  2. Daft R.L., Organization Theory and Design. 6th Edition. Cincinnati: Ohio, South- Western College Publishing, Innov. Change, Ch. 8: 286-314 (1998)
  3. Ackoff R.L., Management Misinformation Systems,Manage. Sci. J.,14(4), 147-156 (1967)
  4. Ackoff R.L., From Data to Wisdom, J. Appl Syst. Anal., 16, 3-9 (1989)
  5. Debély J., Dubosson M., Fragnière E., The e consequences of information overload in knowledge based service economies, Proceedings of the ESSHRA European Research Conference in Switzerland, Kursaal, Berne, Switzerland, 67-72 (2007)
  6. Herbig P.A. and Kramer H., The effect of information overload on the innovation choice process, J. Cons. Mark., 11(2), 45-54 (1994)
  7. Ruff J., Information Overload: Causes, Symptoms and Solutions, Harvard Graduate School of Education, 1-13 (2002)
  8. Chard P., Information Overload: Are we technology’s masters or servants? World Work J.,11(3), (2002)
  9. Jackson W., Information Overload and Managerial roles: A naturalistic study of engineers, unpublished doctoral dissertation, The University of Texas Austin (2001)
  10. Dubosson M. and Fragniere E., The Consequences Of Information Overload in Knowledge Based Service Economies, Presented at the ESSHRA European Conference in Switzerland, 12-13 (2007)
  11. Melgoza P., Mennel P.A. and Gyeszly S.D., Information overload, Collection Build, 21, 32-43 (2002)
  12. Meyer A.J., Information Overload in Marketing Management, Marketing Intelligence and Planning 16/3, MCB University Press: 200-209 (1998)
  13. Lively L., Managing information overload. New York: AMACOM. Melgoza P, Mennel PA (2006) , Information Overload, Texas AandM University, 32-42 (1996)
  14. Reuters Report, Dying for Information? An Investigation into the Effects of Information Overload in the U.K. and Worldwide, Reuters Business Information and Benchmark Research, London (1998)
  15. Eppler M. and Mengis J., The Concept of Information Overload: A review of literature from organization Science, Marketing, Accounting, MIS, and related disciplines, MCM Research paper, HSG/MCM/01, 325-344 (2002)
  16. Klausegger C. and Sinkovics R., Information Overload: a crossnational investigation of influence factors and effects, Mark. Intell. Plann., 25(7), 691-718 (2007)