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Indonesian Journal of Strategic Management (IJSM)
Published by Universitas Kuningan
ISSN : -     EISSN : -     DOI : -
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
Indonesian Journal of Strategic Management (IJSM) is a peer-reviewed journal focusing on the exploration and advancement of strategic management theory and practice in diverse organizational and business contexts. IJSM serves as a platform for scholars, researchers, and practitioners to share high-quality empirical and theoretical studies related to strategic planning, organizational leadership, innovation, corporate policy, and sustainable business strategies, with a special emphasis on the Indonesian and Southeast Asian perspectives. The journal published by the Management Department, Faculty of Economic and Business, Universitas Kuningan, and is committed to open access publishing. All accepted articles are freely available online to support a wider academic and professional readership. All manuscripts are required to be written in English to reach a broader international audience. IJSM publishes two issues annually (February and August), and welcomes original research articles, conceptual papers, and case studies that contribute to the ongoing discourse in the field of management and entrepreneurship.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 40 Documents
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From Digital HRM to ESG Performance: A Micro to Macro Framework of Green HRM, Work Engagement, and Employee Green Behavior Lokesh Tomar; Salil Seth
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/90nwjy73

Abstract

Digital transformation and sustainability have become central to contemporary organizational strategy, increasing the need to understand how technological systems support measurable Environmental, Social, and Governance (ESG) performance. Although Digital Human Resource Management (Digital HRM) and Green Human Resource Management (GHRM) have received growing scholarly attention, research integrating digital HR infrastructures with sustainability-oriented HR practices and employee-level outcomes remains limited. This study develops an integrated conceptual framework linking Digital Human Resource Management, Green Human Resource Management, green work engagement, employee green behavior, and ESG performance. Grounded in the Ability-Motivation-Opportunity (AMO) theory, the framework proposes a sequential mechanism through which digitally enabled HR systems institutionalize green HR practices, enhance employee engagement with environmental objectives, stimulate pro-environmental workplace behavior, and ultimately contribute to organizational ESG performance. By advancing a micro-to-macro explanation of digitally supported sustainability implementation, the study bridges digital transformation and green HRM research and clarifies the behavioral foundations of ESG outcomes. The proposed model provides a structured basis for future empirical examination of digitally enabled sustainable organizational performance.  
A Model of Consumptive Behavior in Fintech Paylater Users: Testing Financial Attitude and Self-Control with Locus of Control as a Moderating Variable Munir Nur Komarudin; Rina Masruroh; Wely Hadi Gunawan; Hamdan Danial
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/py1baq37

Abstract

This study examines the effect of financial attitude and self-control on consumptive behavior among fintech PayLater users and analyzes the moderating role of locus of control. A quantitative approach was employed using primary data collected through questionnaires, with analysis conducted using multiple regression and Moderated Regression Analysis (MRA).The results show that financial attitude and self-control have a negative and significant effect on consumptive behavior, indicating that better financial attitudes and higher self-control reduce consumptive tendencies. However, the relatively low coefficient of determination suggests that other factors outside the model also influence consumptive behavior.Moderation analysis reveals that locus of control does not moderate the relationship between financial attitude and consumptive behavior, but significantly moderates the relationship between self-control and consumptive behavior. This indicates that individuals with a stronger internal locus of control are more effective in utilizing self-control to suppress consumptive behavior. Thus, locus of control functions as a selective moderator, strengthening behavioral control rather than cognitive financial attitudes. The novelty of this study lies in integrating cognitive, psychological, and personality dimensions in the context of fintech PayLater. Practically, reducing consumptive behavior requires not only improving financial attitudes but also strengthening self-control and internal locus of control.
Comparative Effectiveness of Robo Advisors and Human Planners in AI-Based Financial Planning Nida Hopia; Anton Budiyono
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/bvzbw277

Abstract

Advances in artificial intelligence (AI) technology have introduced robo-advisors as a modern alternative in financial planning. This article conducts a comparative analysis of the effectiveness of AI-based robo-advisors and conventional human financial planners in optimizing individual financial planning. Using a literature review approach and analysis of secondary data from various reliable sources (Grand View Research, Morningstar, Carlson School of Management, Financial Planning Association, Condor Capital, and others), this study evaluates key dimensions of effectiveness, including: investment return performance, fee structure, adoption rates, client satisfaction, and the ability to manage financial complexity. The study’s findings indicate that robo-advisors excel in cost efficiency (a fee of 0.25% vs. 1.00% of AUM), return consistency (7%–9% per year for moderate portfolios), and the elimination of behavioral biases, particularly during periods of market volatility such as the COVID-19 pandemic. Conversely, human financial planners have significant advantages in emotional intelligence, complex financial planning, and providing emotional value to clients. A hybrid model integrating both appears to be the future direction of the industry, with a 60.7% share of the global market by 2024. The implications of this research are relevant for the development of Sharia fintech strategies and the improvement of financial literacy in Indonesia
The Influence of Employee Engagement, Self-Efficacy, and Job Stress on Employee Performance with Transformational Leadership as a Moderating Variable among Regionally Owned Enterprises (BUMD) in Kuningan Regency Nenden Sugiharti; Lili Karmela Fitriani; Dede Djuniardi
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/2e6kfk69

Abstract

Human resources are a vital asset in achieving organizational goals, especially in Regionally-Owned Enterprises (BUMD). Declining employee performance in BUMDs remains a strategic issue. This study aims to analyze the effects of employee engagement, self-efficacy, and job stress on employee performance and examine the moderating role of transformational leadership. The study employed a quantitative approach with descriptive and verification methods involving 194 respondents using the Slovin technique from three BUMDs in Kuningan Regency (Bank Kuningan, PDAM Tirtakamuning, and PDAU). Data were collected through a semantic differential scale questionnaire and analyzed using Moderated Regression Analysis (MRA) with SPSS 27. The results indicate that: (1) Employee Engagement and Self-Efficacy have a positive and significant effect on Employee Performance; (2) Job Stress has a negative and significant effect on Employee Performance; (3) Transformational Leadership has a positive and significant effect on Employee Performance; (4) Transformational Leadership is able to moderate and strengthen the influence of Employee Engagement and Self-Efficacy on Employee Performance; (5) Transformational Leadership has not been proven to moderate the influence of Job Stress on Employee Performance. These findings indicate that although transformational leadership is effective in increasing motivation and self-confidence, structural interventions are needed to mitigate systemic job stress.
Mobile-Based Customer Relationship Management Strategies to Enhance Customer Satisfaction and Retention among Local Fashion MSMEs in Online Marketplaces Tatang Supriyadi; Syahla Azaliah
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/w90ha270

Abstract

A small fashion seller running a shop out of a spare bedroom does not have a call center, a dedicated CRM department, or a six-figure software budget — what they usually have is a smartphone, a WhatsApp Business account, and whatever loyalty they can build one reply at a time. This study examines how three mobile-based customer relationship management (mCRM) strategies — personalized communication, service responsiveness, and loyalty program management — shape customer retention among customers of local fashion micro, small, and medium enterprises (MSMEs) operating in online marketplaces, with customer satisfaction positioned as the mediating mechanism that determines whether these strategies actually translate into a lasting customer relationship. Two hundred customers of local fashion MSMEs were surveyed using a purposive sampling technique, and the proposed model was estimated using covariance-based Structural Equation Modeling (SEM) with the LISREL software. The results show that personalized communication, service  responsiveness, and loyalty program management each significantly and positively predict customer satisfaction, which in turn significantly predicts customer retention; service responsiveness and loyalty program management also retain significant direct effects on retention, while personalized communication's effect operates almost entirely through the satisfaction pathway rather than directly. Customer satisfaction was found to partially mediate the relationships between service responsiveness and loyalty program management with customer retention, and to fully mediate the relationship between personalized communication and retention, suggesting that a friendly, tailored message can only keep a customer coming back once it has first produced genuine satisfaction. These findings extend mobile CRM theory into the resource-constrained MSME context and offer practical direction for small fashion sellers deciding where to invest limited time and budget within their mobile-based customer management efforts. Keywords: mobile customer relationship management; personalized communication; service responsiveness; customer satisfaction; customer retention
Analysis of Occupational Safety and Health Risks in Operators in Company X Iyan Andriana; Maretno Marcelina Baru; Henny Henny; Maretno Muhamad Vickri Kurnia
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/7qmmrx25

Abstract

Grinding activities at PT X have high physical demands and have the potential to cause musculoskeletal disorders (MSDs) in the upper extremities due to repetitive movements, large grip forces, and unergonomic posture. This study aims to measure the risk level of MSDs, identify dominant causative factors, and provide recommendations for ergonomic improvements. The method used is Job Strain Index Data collection was carried out through direct observation, documentation of work posture photos, and measurement of six JSI variables, namely work intensity (IE=6), duration of work (DE=2), effort per minute (EM=0.5), hand-wrist position (HWP=1.5), work speed (SW=1), and daily duration (DD=1).  The calculation results showed an SI value of 9 which was included in the high risk category. The main risk factors include strong grip force, non-neutral posture, tool vibration, and long working duration. Recommendations are directed at improving work methods, tool design, and working environment settings to reduce the risk of injury and improve work safety.
Capacity Management and Bottleneck Identification in Green Tea Industry Using Simulation Alam Santosa; Alif Naufal Putra; Jobiner Parlindungan Situngkir
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ha21a461

Abstract

This study aims to measure production capacity and identify process bottlenecks in green tea processing plants in Bandung. This research method uses Discrete Event Simulation (DES) which starts from the arrival of the picked tea leaves to the final product in the form of dry tea and tea powder after processing. The problem faced by the company is the inability to increase daily production capacity, which results in queues for material processing that will degrade the quality of the product due to being too long in the process. To overcome this, Theory of Constraints (TOC) is used to identify the location of bottlenecks so that production can be completed faster. Validated simulation results indicate a production capacity of only 10 tons per day compared to a historical target of 20–30 tons. The main bottleneck is caused by the rotary mixer, which has a utilization rate of 66.87%, while the tea ball mixer has the longest waiting time, at 802 minutes. Various simulation scenarios show that the addition of machines has a significant impact on the system; in the 30-ton production scenario, the total processing time is reduced from 43.1 hours to 23.25 hours. This study shows that Discrete Event Simulation (DES) supports the TOC methodology to be able to optimize production capacity.
A Structural Equation Approach to AI-Driven Performance Feedback: Catalyzing Employee Commitment and Creativity for Sustainable and Inclusive Organizational Innovation Mari Maryati; Nayla Malva Manika
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/0wwyq246

Abstract

The emergence of artificial intelligence algorithms in the process of human capital evaluation has transformed radically the dynamics of performance evaluation. The purpose of this study is to experimentally test a structural model that examines the effect of algorithmically generated feedback on the promotion of sustainable and inclusive corporate innovation, which is mediated by worker dedication and inventiveness capability. The research employed a quantitative approach based on survey data from 250 practitioners in the technology and service sector in Indonesia. The results utilising Partial Least Squares Structural Equation Modelling (PLS-SEM) show that cognitive flexibility of Ideation competence and psychological security of work attachment, directly promote sustainable and inclusive outcomes. Algorithmic evaluations generate first capacities, while overuse develops algorithmic aversion, diminishing the emotional commitment needed for sustainable innovation. The final implementation of sustainable inclusive innovation is contingent upon human-mediated AI deployment where algorithmic efficiency complements rather than displaces human agency and compassionate leadership
A Data Literacy and AI Readiness-Based Maturity Model For Managerial Information Systems: Evidence From A University Executive Information System Edi Firdaus; Hadi Purnomo; Ai Rukmini; Risa Marselina
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/5w114s27

Abstract

The research seeks to come up with a model for MIS maturity based on data literacy and AI readiness in the implementation of an executive information system (EIS) in the university. It applies a quantitative method involving PLS-SEM for analyzing data collected from users of the executive information system in university. From the results, it is evident that data literacy and AI readiness are positively and significantly associated with the maturity of the management information system. Data literacy appears to be more powerful as the ability of users to interpret data is crucial for achieving information system maturity. AI readiness serves as a supportive factor since it facilitates the successful implementation of technology in information systems but cannot enhance system maturity on its own. This work offers practical suggestions for the university regarding how it should improve information system maturity through AI readiness and data literacy.
Analysis and Recommendations for Campus Waste Management Based on UI GreenMetric Indicators at a Private University in Bandung Fauzi Fahmi Achmad; Henny; Muhammad Andriyansyah
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/zdyns524

Abstract

This research aims to analyze figure out management conditions at a private university in Bandung based on waste category indicators in the UI GreenMetric World University Rankings and provide recommendations for improvement to support the Green Campus concept. The research method used was direct observation of the campus environment and interviews with cleaning managers, followed by assessment using the UI GreenMetric instrument. The data obtained was analyzed devinitive by comparing the existing circumstances with the established indicators. The results revealed that the campus has established some waste management indicators, namely the 3R which is Reduce, Reuse, Recycle program and pograms aimed at cutting down paper and plastic use. Meanwhile, the management of organic waste, inorganic waste, hazardous and toxic waste (B3), and liquid waste has not been optimally implemented, resulting in low scores in the waste category. Therefore, several improvement efforts are needed, such as processing organic waste into compost, collaborating with waste banks for inorganic waste management, managing B3 waste through third parties, and processing liquid waste using environmentally friendly methods. These recommendations are expected to improve waste management on campus and support the development of a greener and more sustainable campus environment.

Page 4 of 4 | Total Record : 40

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