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The Relationship between Demographic Characteristics with Information and Communication Technology and Empowerment in General Organizations (Case Study: Sari Municipality)

Author

Listed:
  • Neda Sharifi Asadi Malafe

    (Master of Science in Executive Master of Business Administration, Sari Branch, Islamic Azad University, Sari, Iran,)

  • Masoud Ahmadi

    (Department of Management, Sari Branch, Islamic Azad University, Sari, Iran,)

  • Fahime Baei

    (Master of Science in Executive Master of Business Administration, Sari Branch, Islamic Azad University, Sari, Iran.)

Abstract

This study was an attempt to investigate the relationship between demographic characteristics with information and communication technology (ICT) and empowerment of Sari municipality staff in 2015. “Research methodology” in this study was descriptive and correlational. To fulfill the purpose of this study, 152 staff were selected from among a total number of 250 population based on stratified sampling using Krejcie and Morgan sampling table. “The data collection tools” consisted of two standard questionnaires, including ICT questionnaires (%96 validity) and empowerment questionnaire (87% validity). “The data analysis method” was inferential statistics conducting by SPSS. “The results” showed that there was not a significant difference between the mean of ICT and empowerment components among Sari municipality staff in terms of their age, gender, education, work experience, and organizational post.

Suggested Citation

  • Neda Sharifi Asadi Malafe & Masoud Ahmadi & Fahime Baei, 2017. "The Relationship between Demographic Characteristics with Information and Communication Technology and Empowerment in General Organizations (Case Study: Sari Municipality)," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 71-75.
  • Handle: RePEc:eco:journ3:2017-02-12
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    Citations

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    Cited by:

    1. Chaman Verma & Zoltán Illés & Deepak Kumar, 2022. "(SDGFI) Student’s Demographic and Geographic Feature Identification Using Machine Learning Techniques for Real-Time Automated Web Applications," Mathematics, MDPI, vol. 10(17), pages 1-21, August.

    More about this item

    Keywords

    Information and Communication Technology; Knowledge Management; Demographic Characteristics;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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