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Analysis of Young Consumer Loyalty Strategies in the Culinary Business through the SWOT–TOWS Approach and Interpretive Structural Modeling (ISM) Siti Zuliani; M. Gibran Rifka Pramudia; Ratih Amelia; Hujjatullah Fazlurrahman; Dana Azizah Rahmat
Petra International Journal of Business Studies Vol. 9 No. 1 (2026): JUNE 2026
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.9.1.44-57

Abstract

In the digital era, building Generation Z customer loyalty has become a major challenge for culinary businesses due to rapidly changing consumer behavior and the strong influence of social media. This study aims to formulate priority strategies for strengthening young consumer loyalty through an integrated SWOT–TOWS and Interpretive Structural Modeling (ISM) approach. A case study was conducted at Mie ABC using digital audits, field observations, and interviews with business stakeholders and consumers aged 17–25 years. The SWOT–TOWS analysis generated sixteen strategic alternatives, which were further analyzed using ISM and MICMAC to identify hierarchical relationships and strategic priorities. The results indicate that customer feedback utilization, TikTok virality, recipe consistency, and product quality are key drivers in building loyalty. Furthermore, all strategic elements demonstrate high interdependence, suggesting that loyalty is shaped through the synergy of digital marketing, operational excellence, customer experience, and community engagement. These findings provide valuable insights for developing long-term loyalty strategies among young consumers. This study contributes an integrated SWOT–ISM framework and provides practical guidance for culinary SMEs seeking sustainable customer loyalty in a digital marketplace.
Algorithmic Governance, Market Inequality, and MSME Resilience in Indonesia’s Digital Platform Economy: A Qualitative Study Mohammad Nurul Ulin Nuha; Dana Azizah Rahmat; Muhammad Fajar Wahyudi Rahman
Sharia Economic and Management Business Journal (SEMBJ) Vol. 7 No. 2 (2026): Sharia Economic and Management Business
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/sembj.v7i2.2371

Abstract

Background: Indonesia’s digital platform economy has expanded market access for micro, small, and medium enterprises (MSMEs), yet prior studies have not sufficiently examined how algorithmic opacity interacts with capital constraints to produce differential visibility outcomes for MSMEs. Purpose: This study explores how algorithmic governance shapes MSME fragility and resilience in Indonesia’s digital platform economy by examining visibility dependence, unequal platform literacy, capital-based exposure, and collaborative adaptation. Method: Using a qualitative exploratory case-study design, this study draws on semi-structured interviews with MSME owners/managers operating on major Indonesian e-commerce platforms. The data were analyzed through iterative thematic coding, constant comparison, and source triangulation across participant accounts and supporting contextual documents. Results: The findings reveal five major themes: algorithmic opacity as a source of visibility fragility, cognitive stratification in MSME adaptation, capital fragility and unequal platform exposure, collaboration as collective resilience, and the need for fair platform governance and inclusive digital policy. These findings indicate that MSME resilience is not determined merely by access to digital platforms, but by sellers’ capacity to interpret algorithmic signals, mobilize resources, participate in collaborative networks, and operate within transparent and accountable platform ecosystems. Conclusion: The study shows that MSME resilience is shaped not only by digital adoption but also by sellers’ capacity to interpret algorithmic signals, mobilize resources, and participate in collaborative networks. This study contributes by positioning cognitive stratification as an analytical lens explaining how unequal platform literacy mediates algorithmic governance and MSME vulnerability.