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Queues, Service Efficiency, and Social Proof: Multi-Site Non-Participant Observation of Mie Gacoan Rooswita Loing; Aldo Franco Karinda; Reimond Kowaas; Harke Revo Leonard Polii
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1383

Abstract

Queues in budget-priced food-service retail commonly arise when customer arrivals exceed service capacity during peak hours. This study examines queuing as a dual phenomenon: an indicator of service-process efficiency and a form of social proof that may shape customers’ decisions to join, remain in, or abandon a queue. Non-participant observations were conducted at three Mie Gacoan branches in North Sulawesi (Manado, Tondano, and Airmadidi) across nine weekend sessions (midday peak 11:00–13:30 WITA; evening peak 18:00–21:30 WITA). Data were compiled from field notes, time logs of estimated waiting times, service-flow mapping using a service blueprint, and anonymized documentation of service artefacts. The findings indicate a multi-stage queue, with bottlenecks shifting across the cashier, preparation, and handover phases. Manado exhibited the highest intensity (maximum queue length: 95 customers; maximum waiting time: 60 minutes) and the greatest number of abandonment events (19), whereas Tondano showed lower levels (62 customers; 42 minutes; 9) and Airmadidi fell in between (78 customers; 50 minutes; 13). Sessions with longer waiting times were associated with higher levels of abandonment; however, persistent queue density during the evening peak suggests that the queue did not subside to low levels over the observation period despite rising time costs. Overall, the results provide descriptive evidence consistent with P1–P3 concerning multi-stage queue dynamics, the influence of service-design variation on where congestion accumulates, and the trade-off between time costs and the social-proof value of queuing in customers’ decisions.
Financial Stress-Test of the Palm Oil Industry: Bankruptcy Prediction Using the Modified Altman Z-Score During the Downturn Phase Harke Revo Leonard Polii; Sandra J.R. Kainde; Rifal Richard Pangemanan
Economics and Digital Business Review Vol. 7 No. 1 (2026)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v7i1.3605

Abstract

This study aims to predict the bankruptcy potential of Plantation Sub-Sector companies listed on the Indonesia Stock Exchange (IDX) during the critical downturn cycle of 2017-2019. This period serves as a stress-test window following the commodity boom. Employing a descriptive quantitative approach, the research analyzes secondary data from 10 companies selected through purposive sampling. The primary analytical tool is the Modified Altman Z-Score model. The results indicate severe financial distress within the sector due to price volatility and aggressive downstreaming policies. Specifically, out of the 10 sampled companies, only 1 company was classified as "Healthy" (Z > 2.60), 1 company was identified as "Vulnerable" or in the grey area (1.10 < Z < 2.60), and 8 companies were predicted to be "Bankrupt" (Z < 1.10). These empirical findings suggest a critical vulnerability in the plantation sector, highlighting an urgent need for financial restructuring and strategic management improvements to navigate post-boom challenges and ensure long-term sustainability. Keywords: Bankruptcy Prediction, Modified Altman Z-Score, Plantation Sub-Sector, Financial Distress.
Fomo, Virality, and Saturation: A Netnographic Study of Digital Consumer Behavior towards the Mixue Brand in Indonesia Sandra J.R Kainde; Harke Revo Leonard Polii
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1389

Abstract

This study aims to analyze digital consumer behavior toward the Mixue brand in Indonesia within the dynamics of Fear of Missing Out (FOMO), virality, and saturation through a netnographic approach. Employing a qualitative design, this research uses netnography to examine digital interaction traces within Mixue's online ecosystem in Indonesia, including posts, comments, memes, conversations, and other forms of symbolic participation on social media. The findings indicate that digital consumer behavior toward Mixue develops along a dynamic trajectory. In the initial phase, FOMO stimulates consumer engagement, as Mixue is positioned as a social experience that must be followed in order not to be left behind in the flow of digital trends. This engagement subsequently evolves into virality, sustained through electronic word of mouth (eWOM), meme production, collective humor, and the symbolic participation of netizens. However, the continuous intensity of exposure and symbolic reproduction does not necessarily strengthen affection toward the brand; instead, it generates saturation that shifts engagement from enthusiasm to critical evaluation. In addition, the negotiation of trust and legitimacy suggests that the relationship between digital consumers and the brand is shaped not only by trend-driven logic but also by the need for validation and a sense of security. These findings confirm that digital consumer behavior toward a viral brand is a relational, symbolic, and constantly evolving cultural process.