https://ejournal.unhi.ac.id/index.php/massiv/issue/feed 2024-11-30T01:20:50+00:00 I Gede Aryana Mahayasa aryanamahayasa@unhi.ac.id Open Journal Systems <p><strong>The Management and Applied Social Studies Review (MASSIV)</strong> welcomes empirical and theoretical articles that are suitable for publication in the Management and Applied Social Studies Review (MASSIV) such as strategic management, marketing, human resource management, financial, culture studies, also economic and social studies.&nbsp;The journal aims to cover the topics and issues in various sub-areas of Management and all disciplines of Social Studies in general. The major and significant purpose of this journal is to highlight the theoretical and applied issues faced by Academia, Researchers, Policy Makers, Managers, and Society in all the disciplines of Applied Management and Social Sciences.&nbsp;The Management and Applied Social Studies Review (MASSIV) is published twice a year, namely in May and November with a number of 5 until 8&nbsp; articles per publication.</p> <p>E-ISSN :&nbsp;</p> <p>&nbsp;<a href="https://portal.issn.org/resource/ISSN/2987-3606" target="_blank" rel="noopener"><img src="/public/site/images/aryana02/BARCODE_ISSN-dok_sk_2023_06_BARCODE_29873606001.jpg"></a></p> <p><strong>Management and Applied Social Studies Review (MASSIV) has been indexed on:</strong></p> <p><a href="https://scholar.google.com/citations?view_op=list_works&amp;hl=en&amp;hl=en&amp;user=yJ1WFwgAAAAJ&amp;scilu=&amp;scisig=ACseELIAAAAAZIcc0IrAKHfzFcxiGtbGVJEyPn8&amp;gmla=AHoSzlWPLWQMMhPnZe1EEPtuPSBOVW8Qpmga9UoYiaSODCniXaBPJZaCYyM9it2obxKjByFnaVD15LO2s5lSwXn30GtAjExWbLRl_p0&amp;sciund=3352588877235477952" target="_blank" rel="noopener"><strong><img src="/public/site/images/aryana02/GoogleScholar21.jpg"></strong></a></p> <p><strong><a title="GARUDA" href="https://garuda.kemdikbud.go.id/journal/view/36143" target="_blank" rel="noopener"><img src="https://ejournal.unhi.ac.id/public/site/images/aryana/garuda3.jpg" width="172" height="53"></a></strong></p> <p><strong><a title="Dimensions" href="https://app.dimensions.ai/discover/publication?search_mode=content&amp;and_facet_source_title=jour.1457448" target="_blank" rel="noopener"><img src="https://ejournal.unhi.ac.id/public/site/images/igedemahayasa/download_logo_dimensions2.jpg" width="232" height="35"></a></strong></p> <p><a href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank" rel="license noopener"><img src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" alt="Lisensi Creative Commons" data-pagespeed-url-hash="3572478434"></a><br>Ciptaan disebarluaskan di bawah&nbsp;<a href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank" rel="license noopener">Lisensi Creative Commons Atribusi-BerbagiSerupa 4.0 Internasional.</a>&nbsp;</p> https://ejournal.unhi.ac.id/index.php/massiv/article/view/6836 2024-11-30T01:20:49+00:00 I Putu Putra Astawa putuputraastawa@gmail.com Ni Wayan Wina Premayani putuastawa@unhi.ac.id

<p><strong>Purpose </strong>– This article aims to provide practical guidance on the implementation of Artificial Intelligence (AI) in an effort to support business growth. With a case study approach and literature review, this study assesses the impact of the application of AI technology on improving efficiency, decision-making, and marketing strategies.</p> <p><strong>Methodology </strong>– The methods used include data analysis from companies that have adopted AI, where assessments are carried out on changes in productivity, customer satisfaction, and operational cost savings.&nbsp;</p> <p><strong>Findings</strong> – Key findings show that the use of AI in business management significantly improves service quality, enables product personalization, and speeds up the data analysis process that supports faster and more accurate decision-making.</p> <p><strong>Originality</strong> – this article lies in the step-by-step guide presented, from the identification of business needs to the outcome evaluation stage, making it a relevant reference for companies that are just starting to consider AI adoption. As such, this article provides an applicative insight into how AI can be effectively leveraged to support business success.</p>

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