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All Journal MIX : Jurnal Ilmiah Manajemen Jurnal Ilmiah Manajemen Kesatuan
Burhan Bungin
Universitas Ciputra Surabaya, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Optimization of the CIDT Model in the MSME Program of the Rokan Hulu Regency Chamber of Commerce and Industry Alfa Syahputra; Burhan Bungin; Thomas Stefanus Kaihatu; Christina Widya Utami; Liliana Dewi
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 5 (2025): JIMKES Edisi September 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i5.3535

Abstract

With the advancement of time, the programs within the Chamber of Commerce and Industry need to be reconstructed to be more relevant and adaptive to digitalization challenges. The Chamber of Commerce and Industry (Kamar Dagang dan Industri/KADIN) plays a crucial role in supporting SMEs’ growth, yet several obstacles hinder its optimization in Rokan Hulu. Issues such as weak synergy between the chamber of commerce and industry and the local government, overly idealistic policies, lack of attention to small traders, and minimal government involvement in empowering SMEs need urgent solutions. This study aims to explore how the chamber of commerce and industry program reconstruction can optimize digital marketing for SME economic growth in Rokan Hulu. Using the Complexity of Innovation Diffusion Theory as an analytical framework, this qualitative research employs literature review and phenomenological approaches. The findings suggest that strategic reconstruction through competitive selection, digital business incubation, and stakeholder collaboration can enhance SME competitiveness, ensuring sustainable regional economic growth through digital technology adoption.
Balancing Innovation and Ethics: Empirical Insights into AI Predictive Marketing Challenges and Opportunities Nashrudin Latif; Burhan Bungin; David Sukardi Kodrat
MIX: JURNAL ILMIAH MANAJEMEN Vol. 15 No. 3 (2025): MIX : Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jurnal_mix.2025.v15i3.013

Abstract

Objectives: This research endeavors to explore the ethical ramifications when artificial intelligence is utilized in predictive marketing, especially regarding potential pitfalls like algorithmic bias, infringements on privacy, the deliberate manipulation of consumer actions, and the aggregation of market power, which may undermine fair business competition.Methodology: A qualitative methodology was adopted for this study, involving In-Depth Interviews (IDIs) with a total of eight informants. The participants, who were data analysts and digital marketers representing various industry sectors, were recruited using both purposive and snowball sampling techniques. Data gathering spanned a six-week period and was subjected to thematic analysis to identify the prominent themes and issues.Finding: Five main themes were found in this study: (1) the importance of fairness and non-discrimination in algorithms, (2) transparency in data governance, (3) protection of consumer privacy, (4) risk of behavioral manipulation, and (5) ethical implications of market share concentration by AI-based companies.Conclusion: While AI can improve marketing efficiency, its use also risks creating social injustice and lowering consumer trust. Therefore, continuous data audits, transparent algorithm development, and strong consumer protection regulations are needed to ensure fair, ethical, and sustainable application of AI.
Co-Authors Alfa Syahputra Christina Widya Utami David Sukardi Kodrat Liliana Dewi Nashrudin Latif Thomas Stefanus Kaihatu