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West Science Social and Humanities Studies
Published by Westscience Press
ISSN : 30261651     EISSN : 30253764     DOI : https://doi.org/10.58812/wsshs.v1i03
Core Subject : Economy, Humanities, Health, Social,
Humanities Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Social Sciences
West Science Social and Humanities Studies is an academic journal that focuses on interdisciplinary research in the fields of social science, science, and humanities studies. The journal aims to present high-quality articles that make significant contributions to our understanding of society, culture, science, and human interaction in the Western world. Within this journal, authors from various disciplines are invited to share original research findings relevant to the social sciences, such as sociology, psychology, anthropology, political studies, economics, and related fields. Additionally, the journal welcomes contributions from scientific studies, such as biology, physics, chemistry, and mathematics, that are related to social and human contexts. The fields of humanities studies, including history, literature, art, philosophy, and culture, are also a primary focus of this journal.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 747 Documents
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Bibliometric Analysis of Digital Loyalty Programs Loso Judijanto; Muhamad Ammar Muhtadi; Sintia Permata Sari
West Science Social and Humanities Studies Vol. 4 No. 08 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i08.3082

Abstract

Digital loyalty programs have emerged as an essential aspect of customer relationship management that helps firms build retention capabilities and sustain competitive advantage in volatile digital markets. In this study, an attempt is made to conduct a bibliometric analysis to investigate the intellectual structure, research trends, key contributors, and emerging themes in digital loyalty program scholarship. The data were collected from the Scopus database using keywords "digital loyalty program" and "customer loyalty" and analyzed using VOSviewer to conduct co-occurrence analysis, citation analysis, co-authorship analysis, institutional collaboration analysis, and country collaboration mapping. The results show that customer loyalty, customer satisfaction, and loyalty program are core themes linked with digital marketing, electronic commerce, artificial intelligence, blockchain technology, and gamification. Based on citation analysis, key theories such as blockchain-enabled trust mechanisms, AI-powered personalization, and customer experience management significantly influence the field. The collaboration analysis demonstrates that the United States, India, Indonesia, and the United Kingdom serve as major contributors to the global research network supported by influential scholars and academic institutions. Furthermore, thematic evolution indicates a transition from traditional customer relationship management perspectives toward contemporary approaches emphasizing blockchain, artificial intelligence, and gamification-based ecosystems. This study contributes by providing comprehensive mapping of digital loyalty research development and identifying critical research gaps for future scholarship, particularly in integrating emerging technologies with customer value creation.
The Effect of Cash Flow Management Capability, Digital Payment Adoption, and Financial Resilience on Business Growth among Retail MSMEs in Bandung City Amelia Trisavinaningdiah; Arohman Arohman; Asriani Susiati; Mardiyah Soraya; Lailatul Inayah
West Science Social and Humanities Studies Vol. 4 No. 08 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i08.3083

Abstract

Micro, small, and medium enterprises (MSMEs) in the retail sector face increasing challenges in achieving sustainable growth due to financial management limitations, rapid digital transformation, and market uncertainty. This study aims to examine the effect of cash flow management capability, digital payment adoption, and financial resilience on business growth among retail MSMEs in Bandung City. A quantitative research approach was employed using a survey method involving 125 retail MSME owners and managers. Data were collected through a structured questionnaire measured using a five-point Likert scale and analyzed using Statistical Package for the Social Sciences (SPSS) version 25. The data analysis involved validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, t-test, F-test, and coefficient of determination analysis. The results indicate that cash flow management capability, digital payment adoption, and financial resilience have positive and significant effects on business growth. Among these factors, financial resilience demonstrates the strongest contribution, indicating that the ability of MSMEs to adapt and maintain financial stability plays an important role in supporting business development. The findings highlight that strengthening internal financial capabilities and accelerating digital payment adoption are essential strategies for improving MSME competitiveness and sustainability. This study contributes to the MSME management literature by providing empirical evidence regarding the importance of integrated financial capability, digital transformation, and resilience in promoting business growth within urban retail MSMEs.
A Bibliometric Analysis of Talent Acquisition in Human Resource Management Loso Judijanto; Rival Pahrijal; Rani Eka Arini
West Science Social and Humanities Studies Vol. 4 No. 08 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i08.3084

Abstract

Talent acquisition has become a strategic pillar of human resource management (HRM) as organizations compete for scarce skills in an increasingly digitalized labor market. This study conducts a bibliometric analysis to investigate the intellectual structure, thematic evolution, influential publications, and collaboration patterns of talent acquisition research within the human resource management literature. The data were collected from the Scopus database using the keywords "talent acquisition" and "human resource management" and analyzed using VOSviewer to conduct keyword co-occurrence analysis, overlay and density visualization, citation analysis, co-authorship analysis, institutional collaboration mapping, and country collaboration analysis. The results show that human resource management, talent management, talent acquisition, and recruitment constitute core themes linked with organizational decision-making, HR analytics, predictive analytics, artificial intelligence, and machine learning. Based on citation analysis, key contributions such as artificial-intelligence adoption for talent acquisition, crisis-responsive HRM strategy, and HRM-driven knowledge management capacity significantly influence the field. The collaboration analysis demonstrates that India serves as the dominant contributor and central hub of an international research network extending to the United Kingdom, the United States, China, and several European and Asian countries, while co-authorship and institutional mapping reveal small, loosely connected research communities bridged by a limited number of prolific scholars and universities. Furthermore, thematic evolution indicates a transition from traditional recruitment and workforce-planning perspectives toward artificial-intelligence-enabled, data-driven, and predictive talent-acquisition practices. This study contributes by providing a comprehensive mapping of talent acquisition research development and identifying critical research gaps for future scholarship, particularly regarding cross-institutional collaboration and the integration of emerging technologies with human-centered talent strategy.
Green Data Centers in Computing Energy Efficiency: A Bibliometric Analysis Loso Judijanto; Tina Isnaeni; Rani Eka Arini
West Science Social and Humanities Studies Vol. 4 No. 08 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i08.3099

Abstract

Green data centers have become a central concern in computing infrastructure management as organizations pursue energy efficiency alongside environmental sustainability. In this study, an attempt is made to conduct a bibliometric analysis to investigate the intellectual structure, research trends, key contributors, and emerging themes in green data center and computing energy efficiency scholarship. The data were collected from the Scopus database using keywords “green data center”, “green computing”, and “energy efficiency” and analyzed using VOSviewer to conduct co-occurrence analysis, citation analysis, co-authorship analysis, institutional collaboration analysis, and country collaboration mapping. The results show that green computing, energy efficiency, and data centers form the core themes linked with cloud computing, virtual machine consolidation, cooling systems, and renewable energy integration. Based on citation analysis, key contributions such as energy-aware resource allocation heuristics, dynamic virtual machine consolidation algorithms, and thermal-aware cooling strategies significantly influence the field. The collaboration analysis demonstrates that the United States, China, India, and the United Kingdom serve as major contributors to the global research network, supported by a small group of highly prolific scholars, while institutional affiliation reporting across the field remains fragmented and generically labeled. Furthermore, thematic evolution indicates a transition from infrastructure-level cooling and consolidation concerns toward machine-learning-driven scheduling and carbon-aware resource management. This study contributes by providing comprehensive mapping of green data center research development and identifying critical research gaps for future scholarship, particularly in integrating renewable energy with intelligent workload orchestration.
Sustainability Reporting from the Perspective of IFRS S1 and IFRS S2: A Bibliometric Study Loso Judijanto; Bintang Cahya; Rully Fildansyah
West Science Social and Humanities Studies Vol. 4 No. 08 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i08.3100

Abstract

Since the International Sustainability Standards Board (ISSB) issued IFRS S1 and IFRS S2 in June 2023, sustainability reporting has entered a phase of accelerated standardization. This study conducts a bibliometric analysis to investigate the intellectual structure, publication trends, influential authors, and collaboration patterns of research examining sustainability reporting from the perspective of IFRS S1 and IFRS S2. Data were retrieved from Scopus using keyword combinations built around "IFRS S1", "IFRS S2", "sustainability reporting", "ISSB", and "sustainability disclosure", and analyzed with VOSviewer to construct keyword co-occurrence, overlay, density, co-authorship, institutional, country-collaboration, and citation networks. Results show that sustainability reporting functions as the central bridging term linking three clusters: an ESG-accounting and disclosure cluster, a sustainable-development and environmental-legacy cluster, and an IFRS S1–S2/ESG/climate-disclosure cluster, connected through a smaller regulatory-accounting cluster. The overlay analysis indicates that IFRS S1, IFRS S2, and core accounting terms are established anchors, while corporate governance, ESG reporting, and sustainability accounting are emerging themes. Co-authorship and institutional mapping reveal a field still dominated by small, tightly-knit, geographically concentrated teams, most visibly a single fully-connected Ghanaian cluster investigating IFRS S1/S2 implementation readiness. Country mapping identifies the United Kingdom as the principal collaboration hub, linked to South Africa, Italy, Egypt, and Indonesia. Citation analysis identifies ESG reporting and metrics scholarship and systematic reviews of sustainability reporting as the most influential works, alongside emerging implementation-focused contributions. This study contributes a structured map of this rapidly forming research landscape and identifies priority directions for future scholarship.
Human–AI Collaboration and Digital Competency: Examining Their Roles in Shaping Employee Creativity and Job Performance in Indonesia's Technology Sector Cikita Berlian Hakim; Syaefullah Syaefullah
West Science Social and Humanities Studies Vol. 4 No. 08 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i08.3101

Abstract

The rapid development of Artificial Intelligence (AI) has transformed the nature of work by creating new forms of interaction between humans and intelligent systems. In the technology sector, human–AI collaboration and digital competence have become important capabilities that influence employees’ ability to innovate and achieve superior work outcomes. This study aims to examine the role of human–AI collaboration and digital competence in shaping employee creativity and work performance in the Indonesian technology sector. This research employed a quantitative approach using a survey method involving 130 employees from technology-related organizations in Indonesia. Data were collected through a structured questionnaire using a five-point Likert scale and analyzed using Structural Equation Modeling–Partial Least Square (SEM-PLS) with SmartPLS 3. The results indicate that human–AI collaboration has a positive and significant effect on employee creativity and work performance. Digital competence also significantly influences employee creativity and work performance. Furthermore, employee creativity demonstrates the strongest influence on work performance. These findings highlight that AI adoption alone is insufficient to improve organizational outcomes; instead, the effectiveness of AI-driven transformation depends on employees’ digital capabilities and their ability to collaborate creatively with intelligent technologies. This study contributes to the literature on digital transformation by providing empirical evidence regarding the interaction between technological capabilities and human resources in improving workplace performance.
Implementation of the Cooperative Learning Model of the Stad Type to Improve Reading Literacy Skills and Comprehension of Recount Texts in Indonesian Language Learning for Grade VI Students of SDN 101901 Alvina Eka Hayati; Desi Noviari; Morita Simbolon
West Science Social and Humanities Studies Vol. 4 No. 08 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i08.3105

Abstract

This study aims to improve the reading literacy skills of sixth grade students of SDN 101901 on recount text material in Indonesian Language subjects through the application of the Student Teams Achievement Division (STAD) Cooperative Learning model. This type of research is Classroom Action Research (CAR) which refers to the Kemmis and Mc Taggart model, implemented in two cycles, with each cycle consisting of planning, implementation, observation, and reflection stages. The subjects of the study were 20 sixth grade students of SDN 101901. Data were collected through reading comprehension ability tests, observation sheets of student and teacher activities, and documentation. The results of the study indicate that the application of the STAD model can improve the reading literacy skills of recount text comprehension, marked by an increase in the average value from the pre-cycle condition to cycle I and cycle II, as well as an increase in the percentage of student learning completeness that reaches the minimum completeness criteria (KKM). In addition, student learning activities and motivation in group activities also increased. Based on these results, the STAD type Cooperative Learning learning model has proven to be effective and can be recommended as an alternative learning model to improve reading literacy and understanding of recount texts in elementary schools.

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