cover
Contact Name
Hendrati Dwi Mulyaningsih
Contact Email
ijmesh@researchsynergypress.com
Phone
+628112341734
Journal Mail Official
ijmesh@researchsynergypress.com
Editorial Address
Jl. Nyaman No 31 Komplek Sinergi Antapani Bandung, Indonesia
Location
Kota surakarta,
Jawa tengah
INDONESIA
International Journal of Management, Entrepreneurship, Social Science and Humanities (IJMESH)
ISSN : -     EISSN : 25800981     DOI : https://doi.org/10.31098/ijmesh
The journal has an international perspective on Management, entrepreneurship, Social Science and Humanities and publishes conceptual papers and empirical studies which bring together issues of interest to academic researchers and educators, policy-makers and practitioners worldwide. The editorial team encourages quality submissions which advance the study of Entrepreneurship including entrepreneurs behavior, Social entrepreneurship, Social enterprise, small medium enterprise, small economics; Management includes Operational management, People management, knowledge management, Finance, Marketing management, business administration, International business, Business communication, human resource, organization behavior; Social Science inlcudes Psychology, law, Language, sociology, Government science, Community, community development, politic and social science, culture; Humanities inculdes Human right, women empowerment, conflict resolution, middle east conflict
Articles 183 Documents
A Scoping Review of Lean Six Sigma and Industry 4.0 Integration: Readiness Dimensions, Transformation Strategies, and Contextual Enablers in Manufacturing Totok Kurniawan; Gatot Yudoko; Yuanita Handayati
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 9 No. 2 (2026): January - June Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v9i2.4317

Abstract

Research on Lean Six Sigma (LSS) and Industry 4.0 (I4.0) integration in manufacturing has grown rapidly, yet remains fragmented between operational excellence and digital transformation streams. Existing studies predominantly employ cross-sectional designs that treat variables in isolation, while current readiness frameworks such as IMPULS, SIRI, and INDI 4.0 offer diagnostic assessment without prescriptive transformation guidance. This scoping review synthesizes 63 peer-reviewed studies (2020–2026) from the Scopus database, following the Arksey and O'Malley framework and PRISMA-ScR guidelines. Three research questions guide the inquiry: (RQ1) what LSS variables influence I4.0 readiness, (RQ2) what transformation strategies are employed and what outcomes they produce, and (RQ3) under what contextual conditions does integration yield effective results and what gaps remain. The review identifies 10 LSS variables and 7 transformation strategy dimensions. Technology Integration, Top Management Commitment, and Process Standardization are the most frequently reported variables across the reviewed studies, consistent with accounts suggesting that digital technologies cannot compensate for operational instability. The reviewed studies collectively describe the LSS–I4.0 relationship as bidirectional, with LSS providing the process foundation for digitalization while I4.0 technologies are reported to reciprocally enhance lean effectiveness through real-time analytics and predictive capabilities. Leadership and Change Management, Human Capital Development, and Phased Roadmap are the most frequently reported strategic dimensions, suggesting that the literature increasingly frames transformation as an organizational challenge rather than a technology procurement exercise. However, these insights are drawn from a geographically and sectorally concentrated evidence base dominated by Indian manufacturing contexts, with Southeast Asian economies and process industries such as food and beverages remaining largely unexamined, and systems thinking methodologies that could capture holistic interdependencies notably absent. To address these limitations, a conceptual framework integrating LSS variables, transformation strategies, and contextual moderators within a feedback-driven system is proposed to guide future research in underexplored contexts.
Halal Certification and Culinary Traditions: Rethinking Cultural Food Practices in Muslim-Majority Indonesia Encu M Syamsul; Elis badriah; Nur'aeni Nur'aeni; Anggi Prayitno
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 9 No. 2 (2026): January - June Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v9i2.3899

Abstract

This study explores the relationship between halal certification and culinary traditions in Indonesia, the world's largest Muslim-majority country. Despite the government's efforts to expand halal certification through formal regulations, the extent to which certification influences everyday food consumption practices remains unclear. Using a mixed-methods approach, this research combines quantitative survey data with qualitative interviews involving Muslim consumers and food vendors in Majalengka Regency, West Java. The findings reveal a significant gap between awareness and behavior. While participants generally understand the concept of halal certification and can recognize the official halal logo, most do not consider certification a primary factor in their food purchasing decisions. Instead, food choices are largely influenced by cultural familiarity, affordability, and trust within the local community. Traditional foods are commonly perceived as inherently halal due to their local origins and preparation by Muslim vendors. The study concludes that halal certification functions more as a regulatory mechanism than as a cultural determinant of consumption behavior. These findings highlight the importance of developing culturally grounded halal governance that bridges formal regulatory frameworks and community-based values. This research contributes to the broader discourse on religion, culture, and governance by demonstrating that halal practices in Indonesia are shaped not only by institutional compliance but also by social trust, cultural traditions, and everyday ethical considerations.
Multi-Branch Transformers for Stock Market Prediction using Previous Market Data and News Articles Lamia Rahim Laibi
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 9 No. 2 (2026): January - June Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v9i2.4281

Abstract

The stock market is a complex and dynamic system influenced by numerous factors, including technical indicators, financial news, and long-term historical price movements, among others. Understanding and accurately forecasting market behavior requires integrating diverse data sources and identifying underlying trends across multiple modalities. The primary objective of this research is to demonstrate the advantages of employing multi-branch Transformer architectures for managing multimodal financial data and to evaluate the model's effectiveness in predicting stock market trends over short, medium, and long term horizons. In this study, we investigate the implementation of a multi-branch Transformer model designed to forecast stock market prices by integrating multiple data sources, such as news articles and historical market data, over extended periods. The proposed architecture comprises two main branches: the first is a BERT based Transformer that processes textual information related to daily stock performance, while the second is an LSTM based neural network that analyzes long term historical price data. After the feature extraction and processing stages, the outputs from both branches are fused through dedicated layers to enable highly accurate and efficient stock price predictions. Leveraging advanced artificial intelligence, particularly deep Transformer architectures, the proposed multi-branch model processes heterogeneous financial data simultaneously, significantly improving forecasting accuracy and predictive capability. The model achieves a mean square error (MSE) of 0.0006, demonstrating its strong performance and minimal loss value. This study underscores the potential of multi-branch Transformer architectures to seamlessly integrate textual and numerical financial information, offering a robust and advanced framework for stock market prediction and trend analysis. The proposed approach relies on large scale datasets, which pose challenges related to data quality, accessibility, and processing efficiency. Furthermore, the model's substantial computational requirements may limit its practicality for small organizations or institutions with constrained resources.
Organizational Justice Dimensions and Employee Outcomes: The Mediating Influence of Emotional Intelligence in Universities Muhammad Ahsan Iqbal; Imran Muhammad; Hina Fayyaz; Jaweria Tariq
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 9 No. 2 (2026): January - June Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v9i2.4330

Abstract

Organizational justice has become an important issue of employee attitudes and performance especially in knowledge-intensive organizations like educational institutions. Although much has been studied about organizational justice and performance of an employee, few empirical studies have been done on the psychological processes by which justice perceptions create effects on the performance outcomes more particularly to the setting of a developing country academic institution. To fill this gap, the current paper focuses on how emotional intelligence mediates between organizational justice and employee performance amongst university workers in Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan. The research design is quantitative research design that consists of a structured questionnaire that is based on the established and validated measurement scales. They used 208 academic and administrative employees who are employed in both a public and a private university to collect the data. Descriptive statistics, Pearson correlation, multiple regression analysis and mediation analysis with Hayes PROCESS Macro Model 4 were done through statistical analysis. According to the findings, the organizational justice has a positive and significant impact on employee performance. All the three components of the distributive justice, procedural justice and interactional justice showed a significant positive correlation with emotional intelligence and also with employee performance. The findings also indicate that emotional intelligence moderates the connection between organizational justice and employee performance to some extent, implying that emotionally intelligent employees have more chances to interpret the perception of fairness into better work performance. The research will help in the body of organizational behavior because it will empirically prove the concept of emotional intelligence as a psychological process that connects the perception of fairness to performance outcomes in institutions of higher learning. Practically speaking, the results imply that universities ought to enhance the open decision making procedures, encourage the practice of fair treatment, and invest in emotional intelligence development schemes to make employees more effective. The study can offer valuable information to policymakers, university administrators, and human resource practitioners who want to enhance employee performance by using management practices that are fair and the development of emotional capabilities. The paper also generalizes organizational justice literature to the context of institutions of higher learning in third world countries that have underrepresented the research.
Internship Experience and Locus of Control as Determinants of Work Readiness among Internship Program Participants Ika Nur Auliani; Khaerul Rizal Abdurahman
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 10 No. 1 (2026): July - December Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v10i1.4136

Abstract

Work readiness among internship program participants is an important indicator in meeting professional workforce demands. Preliminary observations at PT Bio Farma (Persero) revealed differences in work readiness influenced by internship experience and internal psychological factors such as locus of control. Internship experience provides opportunities to apply theoretical knowledge in real workplace settings, while locus of control reflects an individual’s belief that outcomes are shaped by personal ability and competence. This study aims to examine the effects of internship experience and locus of control on the work readiness of internship participants at PT Bio Farma (Persero). A quantitative approach was employed, and data were collected from 52 bachelor’s degree internship participants. Multiple linear regression was used to test partial relationships, whereas the simultaneous contribution of the variables was evaluated using the coefficient of determination (R²). The results indicate that internship experience and locus of control have a positive and significant influence on work readiness, both individually and jointly. These findings highlight the importance of meaningful workplace learning experiences and strengthening interns’ confidence in their own capabilities. The study provides managerial implications for organizations in designing internship programs that better prepare participants for professional careers.
Do Macroeconomic Factors Matter for Indonesia’s Stock Market? Evidence from the Jakarta Composite Index Anisa Eka Fitria; Esi Fitriani Komara
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 10 No. 1 (2026): July - December Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v10i1.4142

Abstract

The Jakarta Composite Index (JCI) is an important indicator of Indonesia’s capital market performance and is sensitive to domestic and global macroeconomic changes. This study analyzes the effects of the BI Rate, Fed Rate, Rupiah exchange rate, inflation, and Gross Domestic Product (GDP) on the JCI during 2020–2024, covering the COVID-19 crisis and post-pandemic recovery. Using a quantitative explanatory approach, this study employs 60 monthly time-series observations collected from Bank Indonesia, the Federal Reserve, Statistics Indonesia, and the Indonesia Stock Exchange. All variables are modeled in their original observed levels to capture direct macroeconomic transmission to stock market performance. Multiple linear regression is used to test both partial and simultaneous effects. The results show that the Rupiah exchange rate has a significant negative effect on the JCI, while GDP has a significant positive effect. In contrast, the BI Rate, Fed Rate, and inflation do not show significant partial effects. Simultaneously, all variables jointly affect the JCI, with an adjusted R² of 47.9%. These findings indicate that during crisis and recovery periods, the Indonesian stock market responds more strongly to exchange rate stability and economic growth than to short-term monetary policy movements.
E-Waste Management in Office Environments: A Systematic Review of Strategies and Challenges Virda Ramadhani Putri; Tutik Inayati; Ratna Wulandari; Tegar Arrasyid
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 10 No. 1 (2026): July - December Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v10i1.4229

Abstract

The rapid growth of electronic devices in organizational workplaces has created critical environmental challenges driven by increasing e-waste accumulation. Although office environments contribute substantially to global e-waste generation, existing research remains fragmented, with limited comprehensive synthesis of management strategies, enabling technologies, and implementation barriers. This systematic literature review (SLR) examines e-waste management in office settings, synthesizing evidence across organizational, technological, and policy dimensions. Following PRISMA 2020 guidelines, we searched the Scopus database (October 2025), retrieving 883 documents. After multi-stage screening based on predefined inclusion and exclusion criteria, 80 peer-reviewed articles published between 2020 and 2025 were selected for full-text analysis. Findings reveal that office e-waste is dominated by computing equipment (45–60%), with 30–50% of decommissioned devices stored rather than recycled, primarily due to data security concerns. Effective management strategies encompass Extended Producer Responsibility (EPR) policies, circular economy frameworks, and emerging technologies such as IoT monitoring, blockchain traceability, and AI-assisted sorting. Adoption, however, remains constrained by infrastructure limitations, organizational inertia, stakeholder awareness gaps, and inadequate regulatory enforcement, particularly in developing economies. This review provides the first comprehensive SLR specifically targeting office e-waste management, offering integrated recommendations for organizations, policymakers, and technology providers aligned with ESG and SDG frameworks.
Constructing Fashion as an Educational Message: A Qualitative Single-Case Study of the Runway Program on Celebrities' TV Aleisya Rafapela; Mirza Azkia Muhammad Adiba
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 10 No. 1 (2026): July - December Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v10i1.4452

Abstract

Research on the construction of reality in television has predominantly focused on final broadcasts or audience reception, while the behind-the-scenes production process remains underexplored. This study presents a qualitative single-case study examining how educational messages about fashion are constructed within the Runway program on Celebrities TV, drawing on Berger and Luckmann's (1966) three dialectical stages: externalization, objectivation, and internalization. Data were collected through in-depth interviews with the creative team, producer, and six audience informants, six months of participant observation, and document analysis of five episodes; these three sources were triangulated to examine how message selection, production routines, and audience interpretation interrelate within this specific organizational context. The findings show that externalization occurs through subjective message selection, layered interview control, and informative-descriptive scriptwriting, while objectivation manifests through the simultaneous use of visuals, voice-over, and designer interviews. Within this case, two context-specific interpretive patterns emerged: objectivation consistency, wherein procedurally consistent construction across episodes was received differently depending on audience media literacy, and stratified internalization, wherein general audiences accepted the broadcast reality as given, fashion design students developed technical and identity-related appreciation, and industry practitioners additionally detected implicit promotional layers. These patterns are presented as illustrative observations from this specific case rather than generalizable theoretical propositions. The study recommends that the production team develop written guidelines distinguishing 'educating' from 'promoting,' create interactive discussion spaces for audiences, and that future research adopt longitudinal and quantitative approaches to test whether similar patterns occur in other settings.
Effectiveness of the Sukabumi Main Waste Bank (SAMMI) Program on Waste Prevention in Sukabumi City Kinarsih Aprilida; M. Rijal Amirulloh; Dine Meigawati
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 10 No. 1 (2026): July - December Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v10i1.4470

Abstract

Waste management has become a critical environmental issue in many regions, including Sukabumi City. To address this challenge, the Sukabumi City Environmental Agency (DLH) implemented the Sukabumi Main Waste Bank Program (SAMMI) as an effort to reduce waste volume directly at its source. This study was motivated by various challenges in the management of the SAMMI Program that affect its implementation effectiveness. The objective of this research is to analyze the effectiveness of the SAMMI Program in reducing waste in Sukabumi City using Nugroho’s Effectiveness Theory which encompasses five dimensions: policy accuracy, implementation accuracy, target accuracy, environmental accuracy, and process accuracy. This study employed a descriptive qualitative method, with data collected through interviews, observations, and documentation. The findings indicate that, in terms of implementation effectiveness, the SAMMI Program is supported by relevant policies, community involvement, and a waste savings system. Stakeholders perceive the program as beneficial in increasing community participation and awareness of waste sorting. However, measurable environmental outcomes remain limited, as city-level waste generation continued to increase. The program’s effectiveness has not been fully optimized due to limited waste processing facilities. Strengthening operational facilities, enhancing public education, and expanding partnerships are necessary to improve the program’s effectiveness and sustainability.
Why Does Green Brand Image Fail to Drive Green Purchase Intention? The Mediating Role of Green Brand Trust among Generation Z Consumers Randy Oktavianus Gunawan; Dewi Deniaty Sholihah
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 10 No. 1 (2026): July - December Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v10i1.4501

Abstract

This study examines the structural relationships among fiscal strategy, intergovernmental transfers, financial accountability, economic development performance, candidate strength, and incumbent electoral performance in local elections. The study uses secondary data from 214 Indonesian regencies and municipalities where incumbent regional heads or deputy heads ran again in the 2020 simultaneous local elections. Fiscal indicators are measured using realized local budget data and audit results from the 2019 local government budget, representing the pre-election period, while electoral performance is measured using election results and incumbent vote share. The data are analyzed using Structural Equation Modeling–Partial Least Squares. The findings show that candidate strength has the strongest structural relationship with incumbent electoral performance in the specified model. Among the fiscal strategies examined, only the revenue strategy shows positive structural relationships with both economic development performance and incumbent electoral performance. Expenditure strategy and intergovernmental transfers are negatively associated with economic development performance and do not show direct structural relationships with incumbent electoral performance. Financing strategy is not significantly related to either development or electoral performance. Financial accountability shows a positive structural relationship with economic development performance, but not with incumbent electoral performance. The mediation test indicates that economic development performance does not mediate the structural relationships between fiscal strategy, intergovernmental transfers, financial accountability, and incumbent electoral performance. These findings suggest that, in the specified model, incumbent electoral performance is more closely associated with candidate strength and local revenue capacity than with economic development performance as a retrospective voting mechanism.