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Organization Communiqué Effect on Job Satisfaction and Commitment in Namibia

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  • Neeta Baporikar

    (HP-GSB, Namibia University of Science and Technology, Namibia)

Abstract

Contemporary organizations, consider human resources to be the most strategic assets. Further to realize these assets to optimum, communication is crucial. With technology driven economies effective communication not only enhances organizational outcomes but also plays a dynamic role for ensuring employee commitment. In spite of this awareness, there is limited research conducted on identification and understanding the significance of organizational communication, especially in the Namibian context. Thus, the aim of this research is to address this research gap. Adopting an empirical survey research design, the population is department of the Inland Revenue employees countrywide. With sample of 150 respondents from 900, randomly selected the response rate was 66.67%. Data has been analyzed by descriptive and inferential statistics. Partial Least Squares (PLS) regression was used as inferential statistics to assess the hypotheses and achieve the objectives of the study.

Suggested Citation

  • Neeta Baporikar, 2017. "Organization Communiqué Effect on Job Satisfaction and Commitment in Namibia," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 8(4), pages 19-41, October.
  • Handle: RePEc:igg:jssmet:v:8:y:2017:i:4:p:19-41
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    Cited by:

    1. Jumana Waleed & Ahmad Taher Azar & Saad Albawi & Waleed Khaild Al-Azzawi & Ibraheem Kasim Ibraheem & Ahmed Alkhayyat & Ibrahim A. Hameed & Nashwa Ahmad Kamal, 2022. "An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-16, January.
    2. Shamsuddin Ahmed & Rayan H. Alsisi, 2022. "Utilitarian Ethical Triage Bayesian Decisions With Monetary Value During COVID-19 - A Bayesian Probability Analysis," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-31, January.

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