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West Science Interdisciplinary Studies
Published by Westscience Press
ISSN : 29871042     EISSN : 29858895     DOI : https://doi.org/10.58812/wsis.v1i07.121
Core Subject : Economy, Social,
Economics, Econometrics & Finance Environmental Science
Journal that publishes multidisciplinary research articles, which include: Humanities and social sciences, Business Economics, Cooperatives & Banking, Sharia Economics, Development Economics, HR Development, Taxation and Commercial Insurance, Communication, Technique, Informatics, Information Systems, Public Health and Healthcare, Electrical Engineering, Agriculture, Law, Marketing. This journal is published by West Science Press.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 1,155 Documents
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The Effect of Social Media Marketing and Word of Mouth on Marketing Promotion with Brand Image as a Mediating Variable at Flamboyan MSMEs in Gorontalo Darman Darman; Aulia Abdul Rahman; Irfan Akadji
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2929

Abstract

This study aims to analyze the influence of Social Media Marketing and Word of Mouth on Marketing Promotion with Brand Image as a mediating variable in Flamboyan Gorontalo MSMEs. This study is motivated by the importance of utilizing social media and word of mouth communication in increasing the effectiveness of MSME marketing promotion amidst increasingly competitive business competition. The research method used is a quantitative approach with a survey technique. Data were obtained by distributing questionnaires to consumers who have purchased Flamboyan Gorontalo MSME products. The sampling technique used was accidental sampling. Data analysis was carried out using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) through the SmartPLS application. The results of the study indicate that Brand Image has a positive and significant effect on Marketing Promotion. Word of Mouth has a positive and significant effect on Brand Image. Conversely, Social Media Marketing has no significant effect on Brand Image or Marketing Promotion. In addition, Word of Mouth also has no significant effect on Marketing Promotion. The results of the indirect effect test indicate that Brand Image is unable to mediate the effect of Social Media Marketing on Marketing Promotion or the effect of Word of Mouth on Marketing Promotion. The research findings indicate that the success of marketing promotions in the Flamboyan Gorontalo MSME is more determined by the strength of its brand image than by social media marketing activities and direct word-of-mouth communication. This research contributes to the development of digital marketing and brand management literature, and provides input for MSMEs in designing marketing strategies that focus on strengthening brand image to increase the effectiveness of marketing promotions and business competitiveness.
The Effectiveness of Waste Management within the Framework of Green Economic Transformation and Regional Economic Performance: Empirical Evidence from the Banjarbakula Strategic Area, South Kalimantan Patardo Haholongan Nainggolan; Laila Refiana Said; Indra Jaya Saputra; Eprinalia A
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2930

Abstract

The transformation towards a green economy is a major challenge for regions still dependent on the extractive sector. Sustainable development literature emphasizes that integrating environmental policies into regional economic systems is a prerequisite for inclusive and resilient long-term growth. This study aims to analyze the influence of waste management on regional economic performance within a green economy framework in the Banjarbakula Metropolitan Area, South Kalimantan Province. The study uses a quantitative approach with an explanatory design and multiple linear regression analysis on data from 2021–2025. Waste management variables include policy and regulatory inclusiveness, budget adequacy, community participation, law enforcement effectiveness, multi-stakeholder partnerships, waste processing technology, and carbon trading, with Gross Regional Domestic Product (GRDP) as the dependent variable. The results show that waste management effectiveness through the seven independent variables mentioned above simultaneously has a significant effect on GRDP. Partially, the policy dimension, community participation, and law enforcement effectiveness show a relatively stronger influence. These findings confirm that waste management has the potential to be a strategic instrument in driving green economic transformation at the regional level.
The Impact of ERP and IoT Technologies on Improving Operational Sustainability in the Logistics Sector in Surabaya Farida Arinie Soelistianto; Heri Setiyawan
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2931

Abstract

The logistics sector plays a critical role in supporting economic growth and supply chain efficiency, while simultaneously facing increasing pressure to adopt sustainable operational practices. Digital transformation technologies, particularly Enterprise Resource Planning (ERP) and the Internet of Things (IoT), have emerged as important tools for enhancing operational sustainability through improved resource management, real-time monitoring, and process optimization. This study aims to analyze the impact of ERP and IoT technologies on operational sustainability in the logistics sector in Surabaya. A quantitative research approach was employed using a survey method involving 100 respondents from logistics companies operating in Surabaya. Data were collected through structured questionnaires measured using a five-point Likert scale and analyzed using SPSS Version 25. The analytical techniques included validity and reliability testing, descriptive statistics, classical assumption testing, multiple linear regression analysis, coefficient of determination analysis, and hypothesis testing. The results reveal that ERP technology has a positive and significant effect on operational sustainability. Similarly, IoT technology significantly influences operational sustainability. Simultaneously, ERP and IoT technologies significantly affect operational sustainability, explaining 53.9% of the variance in operational sustainability. These findings indicate that the integration of ERP and IoT technologies enhances operational efficiency, resource utilization, process optimization, and organizational resilience, thereby contributing to sustainable logistics operations. The study highlights the strategic importance of digital transformation in supporting long-term sustainability and competitiveness within the logistics sector.
The Impact of Sustainable Marketing Strategies and Career Development Opportunities on Employee Productivity and Customer Loyalty in Jakarta Noor Aziz; Asa Sheila Amelia; Fauzi Ichwani; Gumoyo Munpuni Ningsih; Aula Nurul Ma'rifah
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2932

Abstract

In an increasingly competitive business environment, organizations are required to implement strategies that not only enhance organizational performance but also promote long-term sustainability and customer retention. This study aims to examine the impact of Sustainable Marketing Strategies and Career Development Opportunities on Employee Productivity and Customer Loyalty in Jakarta. A quantitative research approach was employed using a survey method involving 200 respondents working in various organizations across Jakarta. Data were collected through structured questionnaires measured using a five-point Likert scale. The analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that Sustainable Marketing Strategies have a positive and significant effect on Employee Productivity (β = 0.382, p < 0.001) and Customer Loyalty (β = 0.291, p < 0.001). Career Development Opportunities also significantly influence Employee Productivity (β = 0.467, p < 0.001) and Customer Loyalty (β = 0.177, p = 0.010). Furthermore, Employee Productivity exerts the strongest direct effect on Customer Loyalty (β = 0.431, p < 0.001). The structural model explains 65.3% of the variance in Employee Productivity and 71.2% of the variance in Customer Loyalty, indicating substantial predictive capability. The findings suggest that organizations should integrate sustainability-oriented marketing initiatives with employee development programs to enhance workforce productivity and strengthen long-term customer loyalty. This study contributes to the literature by providing an integrated framework that combines external sustainability strategies and internal human resource development practices within a single model.
A Bibliometric Analysis of Cultural Change Management in HR Loso Judijanto; Wahyudin Wahyudin
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2933

Abstract

The current study performs a bibliometric investigation of the field of cultural change management in HRM and investigates its intellectual structure, the process of thematic evolution, and the global collaboration pattern. With the help of bibliometrics methods, the analysis of keywords co-occurrence, density visualization, citation impact, co-authorship network, and country level of collaboration is carried out. The results show that the concept of HRM represents the main hub of scientific research and is closely related to concepts of organizational culture, change management, HRM, knowledge management, and information systems. Thematic evolution shows the evolution of the scientific field from the fundamental research on HRM and knowledge management towards research on organizational behavior and organizational culture and more recent research on digital transformation in terms of artificial intelligence, HR analytics, and IT-enabled HRM. The citation analysis suggests that most influential papers combine various disciplines like healthcare, operations management, and organizational studies. Finally, the collaboration network shows that the UK and the USA are leaders in terms of scientific production, whereas Australia, Germany, and Netherlands are intermediators for other countries in the field.
A Bibliometric Analysis of Email Marketing Loso Judijanto; Rini Fitrianingrum
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2934

Abstract

In this study, we conduct the bibliometric analysis of email marketing research in order to examine its intellectual structure, theme development, and patterns of global collaboration. The database for data collection is a scientific database while the methods of bibliometric analysis include co-occurrence, co-authorship, co-citation analysis, and visualization with the help of VOSviewer software. The results indicate that email marketing research is firmly rooted in the field of marketing as there are prevailing keywords like “marketing,” “electronic mail,” “digital marketing,” and “social media.” In terms of themes, the research stream can be divided into four streams: strategic digital marketing and e-commerce performance, consumer behavior and communication channels, technology and computational methods which include machine learning and artificial intelligence, as well as security issues like spam and phishing detection. As for temporal trends, the research moved from the basic research on the internet to the data driven and personalized marketing. The collaboration analysis identifies a fragmented but nevertheless connected global research network with USA and India being the centers of international collaboration.
A Bibliometric Analysis of Exchange Rate Fluctuations Loso Judijanto; Khairul Nur Adli
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2935

Abstract

The present paper applies bibliometric analysis to the research dedicated to fluctuations of exchange rates with the purpose to investigate the intellectual structure, thematic development, and international collaborative trends of the field. On the basis of Scopus indexed papers and with the help of visualization software (VOSviewer), it performs keyword co-occurrence, citation, co-authorship and country-level collaborations analysis. The results prove that the field is characterized by predominance of macro-financial issues, namely exchange rates, financial markets, volatility, and monetary policy, gradually embracing forecasting, risk management, and econometrics. The analysis of overlay and density confirms the tendency towards the transition from traditional macroeconomic interpretations of the phenomenon to forecasting and computational approaches. The analysis of citations suggests the multidisciplinary nature of the knowledge base, as it includes not only economics and finance, but also environmental and complex system studies. Finally, the network analysis reveals the prevalence of the US and China as global research centers, as well as the secondary importance of Europe and participation of emerging economies.
Machine Learning Trends in Improving Startup Business Efficiency: A Bibliometric Review Loso Judijanto; Adam Husain
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2936

Abstract

The paper performs bibliometric analysis of studies on the trends in ML in increasing business efficiency of startups. Based on the data obtained from major scientific databases and analyzed by VOSviewer, the study examines the intellectual structure, thematic development, and global collaboration patterns in the field under investigation. In particular, the results show that the concept of machine learning is the main intellectual node that is related to the concepts like startups, investments, entrepreneurship, decision-making, forecasting, and data innovations. As for temporal dynamics, there is an evolution of basic statistical and predictive modeling methods to more sophisticated tools, which involve artificial intelligence-based decision support systems, innovation ecosystems, and scalability of startups. Finally, citation analysis detects key papers devoted to implementation of AI, success predictions of startups, and intelligent systems for validation of business models. Global collaboration patterns demonstrate a semi-centralized structure, with the US and India being the main nodes in the network.
Creative Tourism for Cultural Preservation: A Bibliometric Review Loso Judijanto; Sumarni Sumarni
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2937

Abstract

This study presents a bibliometric analysis of research on creative tourism and cultural preservation to map its intellectual structure, thematic evolution, and collaborative patterns. Using a comprehensive dataset retrieved from an academic database and analyzed through VOSviewer, the study applies co-occurrence, citation, density, and network visualization techniques to identify dominant research themes and their interrelationships. The findings reveal that the intellectual core of the field is primarily structured around tourism, historic preservation, sustainable development, and cultural heritage, indicating a strong sustainability-oriented foundation. Cluster analysis further demonstrates the integration of cultural preservation with rural development, heritage management, and cultural industries, while emerging themes such as digital heritage technologies—including augmented reality, virtual reality, and artificial intelligence—reflect a gradual transformation toward technology-enhanced tourism experiences. The citation analysis identifies highly influential works spanning cultural theory, rural heritage systems, and digital preservation strategies, highlighting the interdisciplinary nature of the field. Meanwhile, co-authorship and country-level network analyses indicate strong but uneven collaboration patterns, with a small number of central actors and countries serving as key bridges in global research dissemination.
Comparative Analysis of Weekly Overburden Volume Using Total Station Survey and Truck Count Methods in Open-Pit Mine Helik Susilo; Achmad Ainun Rafiqul; Muhammad Tri Aditya
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2938

Abstract

Topographic surveying in mining operations is used to determine the actual progress volume of excavated material. In open-pit mining, overburden volume can be estimated from Total Station survey data through surface-to-surface volume calculation and compared with production volume obtained from Truck Count data. This study evaluates weekly overburden volume estimates derived from Total Station survey data and compares them with Truck Count volume data. The results showed that the volume difference in Week 1 was -43.11 BCM with a deviation of -1.1%. In Week 2, the difference was +126.06 BCM with a deviation of +1.6%. In Week 3, the difference was -59.87 BCM with a deviation of -1.6%, while in Week 4, the difference was -112.97 BCM with a deviation of -1.1%. The total volume difference was -89.89 BCM, with an overall deviation of -0.4%. The paired t-test indicated no statistically significant difference between Total Station survey-based volume estimates and Truck Count data. Therefore, both approaches can be considered comparable for estimating weekly overburden volume in open-pit mining operations.

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