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Organizational Adoption of Sentiment Analytics in Social Media Networks: Insights From a Systematic Literature Review

Organizational Adoption of Sentiment Analytics in Social Media Networks: Insights From a Systematic Literature Review

Mohammad Daradkeh
Copyright: © 2022 |Volume: 15 |Issue: 2 |Pages: 29
ISSN: 1935-570X|EISSN: 1935-5718|EISBN13: 9781683180296|DOI: 10.4018/IJITSA.307023
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MLA

Daradkeh, Mohammad. "Organizational Adoption of Sentiment Analytics in Social Media Networks: Insights From a Systematic Literature Review." IJITSA vol.15, no.2 2022: pp.1-29. http://doi.org/10.4018/IJITSA.307023

APA

Daradkeh, M. (2022). Organizational Adoption of Sentiment Analytics in Social Media Networks: Insights From a Systematic Literature Review. International Journal of Information Technologies and Systems Approach (IJITSA), 15(2), 1-29. http://doi.org/10.4018/IJITSA.307023

Chicago

Daradkeh, Mohammad. "Organizational Adoption of Sentiment Analytics in Social Media Networks: Insights From a Systematic Literature Review," International Journal of Information Technologies and Systems Approach (IJITSA) 15, no.2: 1-29. http://doi.org/10.4018/IJITSA.307023

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Abstract

Enterprise adoption and application of sentiment analytics (SA) has recently attracted significant interest from both academia and industry, as it offers exciting opportunities to generate competitive intelligence on consumer attitudes and opinions. Yet, there is limited understanding of the factors underlying successful and widespread adoption of SA in enterprises. This study presents a systematic literature review (SLR) to analyze and summarize previous research on corporate adoption of SA in social media. The SLR examines the results of 83 studies and focuses on tasks, techniques, application domains, and factors that influence enterprise adoption of SA. The findings provide insights into (i) key factors influencing SA adoption, (ii) research trends and paradigms across disciplines, and (iii) potential areas for future research on enterprise adoption of SA. These findings recommend actionable future research agendas for scholars and inform practitioners' understanding of the decision-making processes involved in enterprise adoption of SA in social media.

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