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A Bibliometric Review of Research on Intelligent Personal Assistants: Present Status, Development, and Future Directions


Affiliations
1 Research Scholar, School of Management and Commerce, K.R. Mangalam University, Sohna Road, Gurugram, India
2 Professor, School of Management and Commerce, K.R. Mangalam University, Sohna Road, Gurugram, India
 

Voice assistants based on Artificial Intelligence (AI) are computer programs that use natural language processing (NLP) and machine learning (ML) algorithms to recognize and respond to voice commands and queries in a human-like way. These voice assistants use speech recognition technology to understand spoken commands and questions, process them, and provide relevant responses. The objective of this study is to examine the intellectual framework and effectiveness of voice assistants and to analyze the literature produced by renowned researchers in terms of authors, keywords, and major organizations. This review seeks to offer valuable insights into the growing body of literature on virtual assistants. In this article, the authors have used the bibliometric method to systematically summarize the current state of voice assistant research. They analyzed 563 articles related to Voice assistants from the Scopus database between 2002 and 2023 using the R-Studio ‘Biblioshiny’ tool. The analysis includes an examination of the core journals, articles, authors, institutions, and relevant countries to determine the most influential voice assistants literature. This study also provides a detailed understanding of Co-occurrence network, Co-citation network and Coword analysis. The authors have also used thematic maps to identify the different research topics of voice literature and have grouped them into four clusters, including Motor themes, Niche themes, Emerging themes, and Basic themes. The article concludes by discussing the limitations of the study and highlighting future research directions.

Keywords

Virtual Assistants, Voice Assistants, VBA, Digital Voice Assistant.
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  • Agarwal, S., Agarwal, B., & Gupta, R. (2022). Chatbots and virtual assistants: a bibliometric analysis. Library Hi Tech, 40(4), 1013–1030. https://doi. org/10.1108/LHT-09-2021-0330

  • Bjork, S., Offer, A., & Söderberg, G. (2014). Time series citation data: The Nobel Prize in economics. Scientometrics, 98(1), 185–196. https://doi.org/10.1007/ s11192-013-0989-5

  • Bolton, R. N., McColl-Kennedy, J. R., Cheung, L., Gallan, A., Orsingher, C., Witell, L., & Zaki, M. (2018). Customer experience challenges: bringing together digital, physical, and social realms. Journal of Service Management, 29(5), 776–808. https://doi.org/10.1108/JOSM-04-2018-0113

  • Borner, K., Chen, C., & Boyack, K. W. : (2003). Visualizing Knowledge Domains. Fagerberg, J., Fosaas, M., & Sapprasert, K. (2012). Innovation: Exploring the knowledge base. Research Policy, 41(7), 1132–1153. https://doi.org/10.1016/j. respol.2012.03.008

  • Guzman, A. L. (2019). Voices in and of the machine: Source orientation toward mobile virtual assistants. Computers in Human Behavior, 90, 343–350. https:// doi.org/10.1016/j.chb.2018.08.009

  • Hoy, M. B. (2018). Alexa, Siri, Cortana, and More: An Introduction to Voice Assistants. Medical Reference Services Quarterly, 37(1), 81–88. https://doi.or g/10.1080/02763869.2018.1404391

  • Koehler, J. (2018). Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational Risks. European Business & Management, 4(2), 55. https://doi.org/10.11648/j.ebm.20180402.12

  • Landström, H., Harirchi, G., & Åström, F. (2012). Entrepreneurship: Exploring the knowledge base. Research Policy, 41(7), 1154–1181. https://doi.org/10.1016/j. respol.2012.03.009

  • Lau, J., Zimmerman, B., & Schaub, F. (2018). Alexa, are you listening? Privacy perceptions, concerns and privacy-seeking behaviors with smart speakers. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW). https:// doi.org/10.1145/3274371

  • Lim, W. M., Kumar, S., Verma, S., & Chaturvedi, R. (2022). Alexa, what do we know about conversational commerce? Insights from a systematic literature review. In Psychology and Marketing (Vol. 39, Issue 6, pp. 1129–1155). John Wiley and Sons Inc. https://doi.org/10.1002/mar.21654

  • Parikalpana - KIIT Journal of Management [Vol. 19.2, December-2023] Merigó, J. M., & Yang, J. B. (2017). Accounting Research: A Bibliometric Analysis. Australian Accounting Review, 27(1), 71–100. https://doi.org/10.1111/ auar.12109

  • Milhorat P., Schl¨ogl S., & Chollet G. J. Boudy. (2014). BUILDING THE NEXT GENERATION OF PERSONAL DIGITAL ASSISTANTS. 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014 17-19 March 2014, Sousse, Tunisia.

  • Mishra, S., & Subudhi, R. N. (2019). The Methodological Domain in Management Research. Methodological Issues in Management Research: Advances, Challenges, and the Way Ahead, 1–10. https://doi.org/10.1108/978-1-78973- 973-220191001

  • Parise, S., Guinan, P. J., & Kafka, R. (2016). Solving the crisis of immediacy: How digital technology can transform the customer experience. Business Horizons, 59(4), 411–420. https://doi.org/10.1016/j.bushor.2016.03.004

  • Pinto, G., Rastogi, S., Kadam, S., & Sharma, A. (2020). Bibliometric study on dividend policy. In Qualitative Research in Financial Markets (Vol. 12, Issue 1, pp. 72–95). Emerald Group Holdings Ltd. https://doi.org/10.1108/QRFM- 11-2018-0118

  • Podsakoff, P. M., MacKenzie, S. B., Podsakoff, N. P., & Bachrach, D. G. (2008). Scholarly influence in the field of management: A bibliometric analysis of the determinants of University and author impact in the management literature in the past quarter century. Journal of Management, 34(4), 641–720. https://doi. org/10.1177/0149206308319533

  • Rowley, J., & Slack, F. (2004). Conducting a literature review. In Management Research News (Vol. 27, Issue 6, pp. 31–39). https://doi.org/10.1108/01409170410784185 Subudhi, R. N. (2019). Testing of Hypothesis: Concepts and Applications. Methodological Issues in Management Research: Advances, Challenges, and the Way Ahead, 127–143. https://doi.org/10.1108/978-1-78973-973- 220191009

  • Sundar, S. S., Jung, E. H., Waddell, T. F., & Kim, K. J. (2017). Cheery companions or serious assistants? Role and demeanor congruity as predictors of robot attraction and use intentions among senior citizens. International Journal of Human Computer Studies, 97, 88–97. https://doi.org/10.1016/j. ijhcs.2016.08.006

  • Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1). https://doi. org/10.1016/j.jjimei.2020.100002

  • Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi. org/10.1177/1094428114562629


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  • A Bibliometric Review of Research on Intelligent Personal Assistants: Present Status, Development, and Future Directions

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Authors

Paramjit Singh
Research Scholar, School of Management and Commerce, K.R. Mangalam University, Sohna Road, Gurugram, India
Ruchika Yadav
Professor, School of Management and Commerce, K.R. Mangalam University, Sohna Road, Gurugram, India

Abstract


Voice assistants based on Artificial Intelligence (AI) are computer programs that use natural language processing (NLP) and machine learning (ML) algorithms to recognize and respond to voice commands and queries in a human-like way. These voice assistants use speech recognition technology to understand spoken commands and questions, process them, and provide relevant responses. The objective of this study is to examine the intellectual framework and effectiveness of voice assistants and to analyze the literature produced by renowned researchers in terms of authors, keywords, and major organizations. This review seeks to offer valuable insights into the growing body of literature on virtual assistants. In this article, the authors have used the bibliometric method to systematically summarize the current state of voice assistant research. They analyzed 563 articles related to Voice assistants from the Scopus database between 2002 and 2023 using the R-Studio ‘Biblioshiny’ tool. The analysis includes an examination of the core journals, articles, authors, institutions, and relevant countries to determine the most influential voice assistants literature. This study also provides a detailed understanding of Co-occurrence network, Co-citation network and Coword analysis. The authors have also used thematic maps to identify the different research topics of voice literature and have grouped them into four clusters, including Motor themes, Niche themes, Emerging themes, and Basic themes. The article concludes by discussing the limitations of the study and highlighting future research directions.

Keywords


Virtual Assistants, Voice Assistants, VBA, Digital Voice Assistant.

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DOI: https://doi.org/10.23862/kiit-parikalpana%2F2023%2Fv19%2Fi2%2F223434