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All Journal Asian Journal of Management Analytics International Journal of Application on Economics and Business
Sitinjak, Manuntun
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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BIBLIOMETRIC ANALYSIS OF DIGITAL TRANSFORMATION SUCCESS Sitinjak, Manuntun; Irawan, Agustinus Purna
International Journal of Application on Economics and Business Vol. 1 No. 4 (2023): November 2023
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v1i4.2231-2239

Abstract

Digital Transformation is a hot and trending topic, and many organizations are trying to learn and implement. Some of them are successful, but there are also those who have not succeeded in carrying out Digital Transformation. There are quite numerous articles and researches on Digital Transformation Success, yet none of them focus on how Successful Digital Transformations Standard should be developed. For this reason, it is necessary to map the articles and research progress on this topic by carrying out a Bibliometric Analysis. We found 76 articles focusing on Digital Transformation Success by “title” published between 1996 to 2022 with search strings (“digital transformation” AND success). With this methodology we identified how authors have made collaborations on this topic and most related significant terms. The present study provides insight and reveals what things have been explored and discussed, and we found a necessity for further research with a purpose of determining a Reliable Standard for Successful Digital Transformation. However, this paper has limitations because it is only based on Google Scholar database.
AI in Mentoring and Duplication for Network Marketing: A Systematic Literature Review using TPACK and ANT Sitinjak, Manuntun; Irawan, gustinus Purna; Handoyo, Sarwo Edy
Asian Journal of Management Analytics Vol. 4 No. 4 (2025): October 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v4i4.15640

Abstract

Mentoring and duplication are key components of member development in multi-level marketing (MLM), yet traditional approaches often struggle with scalability, consistency, and personalization. This study systematically reviews the integration of Artificial Intelligence (AI) into MLM mentoring and duplication using the Technological Pedagogical Content Knowledge (TPACK) and Actor-Network Theory (ANT) frameworks. A Systematic Literature Review (SLR) was conducted following the PRISMA protocol, analyzing 60 peer-reviewed articles published between 2020 and 2025 from Scopus, ScienceDirect, and Google Scholar. Results indicate that AI enhances mentoring through personalized support, real-time feedback, and adaptive learning, while improving duplication via automated training, communication, and workflow replication. The synthesis reveals that combining TPACK and ANT provides a comprehensive lens to understand how digital tools interact with human actors and knowledge networks.
Co-Authors Agustinus Purna Irawan Irawan, gustinus Purna Sarwo Edy Handoyo, Sarwo Edy