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External and Internal Environment, and Business Ethic on Business Partnership and its Implication on Small Enterprise Performance in West Java Tatang Suryana; Iman Sudirman; Ellen Rusliati
TRIKONOMIKA Vol 16 No 1 (2017): June Edition
Publisher : Faculty of Economics and Business, University of Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.386 KB) | DOI: 10.23969/trikonomika.v16i1.416

Abstract

The purpose of this study is to obtain empirical evidence and find clarity on the phenomena about the influence of external and internal environment, and business ethic on business partnership and its impact on small enterprise performance in West Java on small stamped-batik business. The research was conducted by using descriptive and inductive method by taking sample of 116 companies using simple random sampling technique proportionally with structural equation model analysis. The conclusions obtained are that the external environment, and business ethic were in the fair category, while the internal environment, partnership, and performance were good. SEM analysis showed that the external and internal environment, and business ethic simultaneously had positive and significant effect on partnership of 64.6%. Partially, the external environment had positive and significant impact on the business partnership of 15.41%. The internal environment had a positive and significant impact on business partnership of 28.73%. Business ethic had a positive and significant effect on business partnership of 20.30%. Business Partnership had a positive and significant impact on Small Enterprise Performance of 84.3%.
TRANSFORMING PRODUCT INNOVATION TO MEET CUSTOMER NEEDS THROUGH AI MARKETING, A CUSTOMER FEEDBACK ANALYSIS WITH GPT-4O MINI Ivan Sudirman; Iman Sudirman; Margareth Setiawan; Intan Rahmatillah
Jurnal Riset Bisnis dan Manajemen Vol. 18 No. 1 (2025): February Edition
Publisher : Faculty of Economic and Business, University of Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jrbm.v18i1.18021

Abstract

This research uses GPT to conduct sentiment analysis on customer reviews for biodegradable products. Sentiment analysis uses 4 categories, namely positive, negative, neutral and mixed, then for product improvement this study focuses on negative sentiment by adding negative sentiments from the mixed sentiments. Data collected from Amazon reviews regarding one brand of biodegradable trash bag in several stores. The GPT-4o Mini model was then used to categorize sentiment.The results of sentiment analysis show that most reviews are positive, but there are also many negative sentiments regarding product durability, leakage and price. The model used is able to accurately identify and extract negative sentiment even from a mixed sentiment, thereby providing a more complete understanding of customer dissatisfaction. This research emphasizes the importance of integrating AI-driver sentiment analysis into the marketing process.
Diagnosing Competitiveness Gaps in the Footwear Industry Cluster: A Capability-Based Approach Rohmana; Iman Sudirman; Ester Manik
Almana : Jurnal Manajemen dan Bisnis Vol. 10 No. 2 (2026): August
Publisher : Bandung: Prodi Manajemen FE Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/almana.v10i2.3050

Abstract

The competitiveness of traditional footwear industry clusters has declined due to increasing market competition, technological change, and limited organizational capabilities among small and medium enterprises (SMEs). Despite various development initiatives, the Cibaduyut Footwear Industry Cluster continues to face challenges in sustaining its competitiveness. This study aims to diagnose the competitiveness gaps affecting footwear SMEs using a capability-based approach. A qualitative embedded single-case study was conducted involving 20 purposively selected informants representing SMEs, government, industry associations, academia, and supporting institutions. Data were collected through interviews, focus group discussions, observations, and document analysis, and analyzed using thematic analysis with open coding, axial coding, and triangulation. The findings reveal high capability gaps in production, technology, management, and marketing, together with moderate-to-high gaps in innovation and stakeholder collaboration. These deficiencies lead to inconsistent product quality, weak market positioning, limited innovation, and low adaptability to market changes. The study concludes that competitiveness decline is a systemic capability problem rather than an isolated operational issue. It contributes to the competitiveness literature by proposing a capability-based diagnostic framework that integrates organizational capabilities and cluster ecosystem factors to support more effective competitiveness improvement strategies.