In response to the influx of imported batik cloth, each region is producing distinct fabrics both printed and hand-drawn, leading to heightened competition and affecting the sustainability of small and medium-scale batik businesses (SMEs). Therefore, this study aimed to examine the important role of the skunk work (SW) principle and dynamic capability (DC) in accelerating business innovation and improving performance to enhance the resilience of SMEs. It also addressed an empirical gap by introducing the SW dimension as a driver of innovation and strengthening DC in sustaining SMEs. A total of 876 batik-related SMEs were engaged as part of this study. The SEM-PLS method was used to test the research hypothesis. The results showed that SW was positively correlated with DC while positively related to business model innovation (BMI). Additionally, the DC was found to be positively connected to BMI and further influencing performance. BMI was also positively related to resilience while performance was positively related to the resilience of SMEs. These results outlined the importance of SW and DC in driving innovation within resource-constrained SMEs. The study contributed to market policies and strategies that supported SMEs in leveraging SW, DC, and BMI to achieve sustainable performance.
Companies strive to improve performance by adopting a green supply chain, integrating suppliers and customers to maintain product quality through supplier selection decisions. The purpose of this study is to examine the relationship between supplier selection decision-making and firm performance, with supply chain integration, green supply chain practice, and supply chain quality as intervening variables. Data collection was conducted at manufacturing companies by distributing questionnaires directly to practitioners and providing online links for respondents to complete. The results of data collection for this study amounted to 174 questionnaires ready for further processing using SmartPLS. The results of data processing show that supplier selection decision-making directly influences supply chain integration and green supply chain practice but does not directly impact supply chain quality. Supply chain integration plays a direct role in improving green supply chain practice, supply chain quality, and company performance. The green supply chain practice established within the company can improve supply chain quality and company performance. The company's ability to implement supply chain quality standards in its product production can improve its performance. The practical contribution of the research provides enlightenment for managers in designing appropriate policies and procedures in supplier selection that not only consider costs, but also encourage integration, implementation of green practices, improvement of supply chain quality, and ultimately strengthen company performance. (c) 2026 by the authors; licensee Growing Science, Canada
The blue economy is important to Indonesia, which derives state revenues from the maritime sector, given its large marine area. The vast marine potential can contribute if managed well. Fish processing companies need to improve their operational performance to be competitive. The study collected data from 90 practitioners from fish processing companies in Indonesia who are members of the Association of Tuna Longline Indonesia. The research data were processed using the SEM-PLS version 4 approach to test the relationships specified in the research hypotheses. The data analysis found that the operational performance of fish processing companies in Indonesia is determined by product innovation and supply chain collaboration. The company's ability to collaborate with partners significantly impacts product innovation. Improvement efforts determined by intellectual capital influence product innovation, especially supply chain collaboration. At the same time, environmental dynamism does not affect product innovation but does significantly affect supply chain collaboration. The practical contribution of this research is that managers can actively involve external partners to solve problems and support product development. Managers need to build real collaboration with external partners in joint planning and optimal order coordination to improve operational performance. The need to strengthen intellectual capital by providing adequate training and standard skills. The theoretical contribution to the development of supply chain uncertainty in optimizing the blue economy.
PurposeThis study aims to analyze librarians' perceptions and expectations regarding the expansion of their roles in the digital era, especially in the context of Southeast Asia's rapidly evolving information landscape.Design/methodology/approachA quantitative survey was conducted among 140 librarians from Indonesia, Malaysia, Singapore, the Philippines and Thailand. The data were collected using a Likert-scale-based questionnaire to assess perceptions of digital competencies and institutional expectations.FindingsLibrarians show high awareness of digital literacy as a core competency (mean = 4.56). However, understanding of advanced technologies such as big data and AI remains moderate (mean = 3.54). Respondents highlight the need for institutional support such as training and technology access to take on strategic roles in the digital era.Originality/valueThis study provides regional insights into Southeast Asian librarians' readiness for digital transformation. It highlights the gap between digital literacy awareness and advanced tech understanding and underlines the importance of institutional capacity-building. The findings offer practical implications for developing policies that support librarians' evolving roles.
Credit scoring for Micro, Small, and Medium Enterprises (MSMEs) remains a critical challenge in emerging economies, where lending decisions must balance financial inclusion and risk mitigation. In practice, MSME credit evaluation relies heavily on structured expert judgment, which often leads to inconsistencies and limited auditability across decision processes. To address this issue, this study proposes an optimized Takagi-Sugeno Neuro-Fuzzy (NFTS) credit scoring model trained using an Accelerated Levenb erg-Marquardt algorithm to approximate expert-based credit scores, rather than to predict loan default events. By focusing on expert score replication, the proposed approach aims to standardize and operationalize institutional credit assessment practices. The proposed model is evaluated using a dataset of 1,200 real-world MSME credit records collected from multiple provinces in Indonesia, with expert-assigned credit scores serving as the target variable. Model performance is benchmarked across eleven membership configurations and compared with conventional machine learning models, with additional validation conducted using k-fold cross-validation to ensure robustness and generalization stability. The optimal configuration (M10) achieves RMSE = 0.08, MAE = 0.04, MAPE = 0.05, and R2 = 1.00, indicating strong alignment with expert-assigned scores rather than perfect prediction of real-world default outcomes. Beyond algorithmic performance, the proposed NFTS model is embedded within a Total Quality Management (TQM) framework using the Define-Measure-Analyze-Improve-Control (DMAIC) cycle to support organizational integration, dashboard-based monitoring, and governance-oriented process control. The results demonstrate that Neuro-Fuzzy systems, when combined with quality management principles, can function as robust and explainable decision-support tools for standardized MSME credit evaluation.
