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The Relationship Between Computer-mediated Communications, Relatedness and Affiliation and Organizational Commitment

<p> Technology is essential to organizations, especially computer-mediated communications, allowing for globalization, improved quality, and increased profits. Knowledge workers rely on technology as well as computer-mediated communication tools. Research on the use of computer-mediated communications among adolescents and in social settings has suggested that there is a lack of effective interaction and relatedness when technology is used. Research further posits that this can cause a breakdown in trust and commitment. This study used a survey to collect data about organizational commitment levels and relatedness and affiliation needs in the workplace for knowledge workers, and to what extent computer-mediated communications could explain these variables. The research question was: What is the extent of relationship between computer-mediated communications, relatedness and affiliation needs, and organizational commitment of knowledge workers? There were 199 responses collected by the researcher and analyzed with linear regression. The survey and structural model utilized a composite of existing instruments to measure computer-mediated communications, relatedness and affiliation needs in the work place, and commitment levels to the organization. Two structural models examined the relationships for the constructs and resulted in two null hypotheses being rejected. The first model tested computer-mediated communications use and relatedness and affiliation needs. The results supported a significant relationship between these variables. The second research question tested the relationship between computer-mediated communications use and normative and affective organizational commitment levels. The second model also rejected the null hypothesis and discovered a significant relationship exists between these variables. Future research was recommended to further analyze the results based on sex and age and include different classifications of knowledge workers.</p><p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10973667
Date08 November 2018
CreatorsPetty, Tonya K.
PublisherCapella University
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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