International Journal of Management Science and Information Technology
International Journal of Management Science and Information Technology (IJMSIT), e-ISSN: 2776-7388 and p-ISSN: 2774-5694 is a free and open-access journal published by the Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia. IJMSIT is an open-access journal dedicated to the exploration of the impact of information technologies on managerial and organizational topics. The journal employs a multidisciplinary approach to develop comprehensive and theoretical frameworks for both researchers and practitioners in the fields of management and information technology. IJMSIT aims to stimulate research in emerging domains influenced by advancements in information technology and trends in management practices. Its readership includes academics from business and engineering schools, as well as managers interested in the application of quantitative methods in business. All published articles are assigned a digital object identifier (DOI) for easy reference. To submit your article to International Journal of Management Science and Information Technology (IJMSIT) ; You have to Register or Login to submit your or. You can access the manuscript format from the author guidelines. Download Template (English).
Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)
Authors who publish with this journal agree to the following terms: 1. Copyright Retention and Open Access License Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 2. Rights Granted Under CC BY 4.0 Under this license, readers are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, including commercial use No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed 3. Attribution Requirements All uses must include: Proper citation of the original work Link to the Creative Commons license Indication if changes were made to the original work No suggestion that the licensor endorses the user or their use 4. Additional Distribution Rights Authors may: Deposit the published version in institutional repositories Share through academic social networks Include in books, monographs, or other publications Post on personal or institutional websites Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution. 5. Self-Archiving and Pre-Print Sharing Authors are encouraged to: Share pre-prints and post-prints online Deposit in subject-specific repositories (e.g., arXiv, bioRxiv) Engage in scholarly communication throughout the publication process 6. Open Access Commitment This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
Customer Satisfaction Based on Marketing Mix Strategy (7P) at PT Tirta Perkasa Sejahtera Bondowoso
This study aims to describe customer satisfaction based on the marketing mix strategy (7Ps) which includes product, price, place, promotion, people, process, and physical evidence at PT Tirta Perkasa Sejahtera Bondowoso. This study uses a qualitative approach with a descriptive research type. Data were obtained through in-depth interviews, direct observation, and documentation related to the company's service and marketing activities. Data analysis was carried out through the stages of data reduction, data presentation, and conclusion drawing. The results show that the marketing mix strategy (7Ps) has been consistently implemented by the company and contributes to the level of customer satisfaction. Customers consider product quality, ease of service access (place), and fast and responsive service processes to be the aspects that most influence their satisfaction. Meanwhile, the promotion strategy and physical evidence elements are considered to still have room for improvement to strengthen the overall customer experience. This study provides an in-depth overview of how the implementation of the 7Ps can increase customer satisfaction and serve as a reference for improvement for companies in designing more effective marketing strategies.
Copyright (c) 2025 Nurul Qomariah https://creativecommons.org/licenses/by/4.0
The Effect of Environmental Disclosure and Green Innovation on Firm Value
This study aims to analyze the effect of environmental disclosure and green innovation on firm value. The research employs a quantitative approach using correlation analysis and panel data regression, assisted by EViews 12 software. The data consist of secondary data obtained from the annual financial reports of 20 companies listed on the Indonesia Stock Exchange during the 2020–2024 period, resulting in 100 observations. The empirical results indicate that environmental disclosure has a significant positive effect on firm value, while green innovation does not show a significant influence. These findings suggest that transparent environmental disclosure plays a crucial role in enhancing firm value by strengthening investor confidence. Practically, this study provides insights for investors in evaluating corporate sustainability performance and encourages companies to improve the quality of their environmental disclosures and green innovation strategies to support long-term sustainability and value creation.
Copyright (c) 2025 Ahmad Rifqi Hidayat https://creativecommons.org/licenses/by/4.0
Tableau-Based Business Intelligence Analysis For the 4P Strategy and Product Sales KPIs in Vending Machines at Minori Group
This study aims to analyze the application of Business Intelligence (BI) using Tableau in supporting data-driven decision making in the marketing mix strategy (4Ps) and Key Performance Indicators (KPIs) for vending machine product sales at Minori Group. With the increasing need for efficiency and competition in the South Cikarang industrial area, Minori Group faces challenges in integrating marketing and sales data scattered across various sources. The research method used is a descriptive quantitative approach with the following stages: data collection from vending machine applications, data cleaning using Excel, integration into Tableau for visual analysis, interpretation of visualization results, and preparation of strategic recommendations. The results show that visualization with Tableau is able to provide a comprehensive picture of product performance based on the aspects of Product, Price, Place, and Promotion. The main findings show that inconsistent product placement per slot (BIN) causes sales analysis to be less accurate, while KPI calculations reveal significant variations in performance between products. Tableau has proven to be effective in helping management identify sales patterns, high-performing products, and areas that need to be optimized through promotional strategies and slot rearrangement. The integration of Marketing Mix theory, Business Intelligence, and Technology Acceptance Model (TAM) confirms that Tableau not only serves as a visualization tool, but also as a strategic platform in building a data-driven organizational culture. The implementation of BI through Tableau is expected to increase marketing effectiveness, operational efficiency, and company profitability.
Copyright (c) 2025 rommy gultom https://creativecommons.org/licenses/by/4.0
Optimizing Natural Resource Products through Sustainable Branding, Human Capital Strengthening, and Financial Resilience in the Age of Millennial and Gen Z Consumers
This paper explores sustainable branding, human resource capability, and financial sustainability on anesthetic competitiveness of nursery product in Millennial and Gen Z era consumers. Despite young consumers’ strong environmental concern, an attitude–behavior gap is observed between their attitudes and actual purchasing behavior. From interviews with 20 informants including young consumers, producers and fintech developers we conclude that sustainability matters, but only if authenticity and transparency are there to back it up. The challenges for producers are often reduced digital skills, weak financial literacy, and difficult access to capital. These constraints inhibit their ability to market sustainably, generate innovations, and manage financial risks. The research recommends that natural resource enterprises should include sustainable brand credence, robust human resources capability, and better financial resilience in order to thrive and grow in the era of digitalization and environmental awareness in Indonesia.
Copyright (c) 2025 Ni Luh Laksmi Rahmantari https://creativecommons.org/licenses/by/4.0
The Influence of Transformational Leadership and Work Conflict on Employee Performance and Change Management in Hospitality Companies
The hospitality industry in Indonesia faces intense competition and rapid changes in business environments, requiring effective leadership to sustain employee performance and support successful change management. The suboptimal implementation of transformational leadership and the presence of work conflict have the potential to decrease productivity and hinder organizational adaptability. This study aims to analyze the influence of transformational leadership and work conflict on employee performance and change management, as well as examine the moderating role of transformational leadership in the relationship between work conflict and employee performance. This research employed a quantitative approach using a survey method by distributing questionnaires to 160 employees of Ascott Group Jakarta. Data were analyzed using Structural Equation Modeling–Partial Least Square (SEM-PLS). The findings indicate that transformational leadership has a significant positive effect on employee performance and change management, while work conflict negatively influences employee performance. Moreover, transformational leadership can weaken the negative impact of work conflict on employee performance. This study provides practical implications for hotel management in optimizing transformational leadership to enhance performance, manage conflict, and support successful organizational change.
Copyright (c) 2025 Elsa Mariska Andini S.M. https://creativecommons.org/licenses/by/4.0
Investment Strategies for Strengthening the Organizational Knowledge System in Industrial Business Entities
Companies in the industrial sector can continue to advance on the challenging path of innovation and trade competitiveness in this era of knowledge management. This study aims to discuss effective investment strategies that will be implemented in building organizational knowledge systems in Indonesian industrial commercial entities. This study uses literature analysis and secondary data focusing primarily on three critical areas: innovation and research, employee education and training, and Information and Communication Technology (ICT). The Organizational Knowledge Index is used as a measure of the effectiveness of Miami's knowledge system, over the period 2019-2024. The findings indicate that investment in R&D and innovation has the greatest impact on strengthening communicative organizational knowledge systems. This covers 47.2% of the total, with ICT in second place at 32.5%, followed by staff training at 20.3%. Less dichotomous are companies that find a balance between the three investment items. Their operational efficiency, ability to innovate, and competitiveness are seen to improve significantly. The results also show that when technology investment and human resource capacity development are combined, this plays a significant role in strengthening organizational knowledge systems. This study offers empirical evidence for designing investment strategies tailored to knowledge management objectives.
Copyright (c) 2025 Margarita Ekadjaja, Rorlen https://creativecommons.org/licenses/by/4.0
Analysis of the Influence of Organizational Commitment and Budget Participation on Managerial Performance
This study aims to: (1) analyze the partial influence of organizational commitment on managerial performance. (2) analyze the partial influence of budget participation on managerial performance. Using a quantitative method with 120 respondents who were surveyed and analyzed using the SPSS data processing application. The research results show that: (1) Organizational commitment partially influences managerial performance. (2) Budget participation partially influences managerial performance.
Copyright (c) 2025 Dusty WIDHA HUTAMA, Masiyah Kholmi https://creativecommons.org/licenses/by/4.0
Green Innovation on the Business Performance of Halal-Certified Micro, Small, and Medium Enterprises in South Sulawesi
This study aims to analyse the effect of green innovation on the business performance of micro and small enterprises in South Sulawesi, particularly those that have obtained halal certification. Green innovation is a new strategy that has emerged among business actors, involving the creation of environmentally friendly innovations in the production process and the products produced. The research method used is explanatory research with a quantitative approach, with a population of 1,025 MSEs and a sample of 124 MSEs with halal certification. The data collection techniques used were observation, interviews and questionnaires with a 1-7 Likert scale, while the data analysis techniques used were descriptive statistical analysis and inferential analysis, namely inner model and outer model analysis, as well as hypothesis testing. The results of the study indicate that green innovation has a positive and significant effect on the business performance of micro and small enterprises in South Sulawesi -, amounting to 45.1%. This implies that the implementation of green innovation in SMEs that already have halal certification can improve business performance while promoting economic, social, and environmental sustainability.
Copyright (c) 2025 Hardiyanti ridwan https://creativecommons.org/licenses/by/4.0
The Impact of Economic Uncertainty on Food Security and the Role of Business Openness as a Moderating Factor in Indonesia's Economic Development
The economic uncertainty experienced by developing countries like Indonesia has the potential to disrupt food security, which is an essential element for social and economic stability. Changes in the international economic environment, such as inflation, fluctuation in exchange rates, and variations in international policies can often have an impact on supply or availability of food. But it is under these circumstances that business openness must function as an instrument of moderation in increasing uncertainty for food security. As a result, this research attempts to discuss the relationship between economic uncertainty and food security in Indonesia, and how business openness serves to amplify or dampen the effects of economic uncertainty on food production. Panel data from the years 2019 to 2024 is used cm this analysis. The findings bring out that business openness has a positive effect on food security, while economic uncertainty has a negative one. Meanwhile, interaction between economic uncertainty and business openness suggests that the more open an economy is economically, the less negative will be its weight on food production. It underscores the importance of policies combining good with global integration to the domestic food sector, if food security in Indonesia is to be secure in the face of global economic uncertainty that unsettles everything.
Copyright (c) 2025 Willyan Sahetapy https://creativecommons.org/licenses/by/4.0
The Impact of Social Media Marketing on Brand Loyalty: The Role of Brand Trust and Brand Equity as Mediating Variables
The development of social media has significantly influenced the way companies establish relationships with their consumers, In an increasingly competitive environment, marketing strategies that involve direct interaction through digital platforms are becoming more crucial for building brand loyalty. This study aims to understand how promotional activities through social media can strengthen consumer loyalty, by considering brand trust and perceptions of brand value as mediating factors that connect these elements. After the raw data had been collected and analyzed through a process that included picking out active Instagram users, we selected those who have followed skincare brand accounts and bought products right after exposure to promotional information. Utilizing SmartPLS software for Structural Equation Modeling, it was found that the quality of a message, visual impact and social interaction represent the three factors which have great influence on whether trust is established or else there will be positive or negative evaluation for your brand. Trust, which builds up from good experiences and consistent communication, as it turns out leads to emotional connections. With these connections in place, it becomes easier to stick around and harder to leave--for repeated generic preferences over time. Also, perceptions of product value and quality serve as reinforcing factors in shaping repeat purchase decisions. The research findings suggest that successful marketing strategies can not only be based on the frequency of social media appearances, but should instead see how relationships are actively and authentically fostered. Enterprises that keep up two-way communication and give consistent experiences will have a better chance for higher customer loyalty. These findings lay a necessary groundwork for business practitioners to design digital approaches less reliant on random solitude and more enabled through social relationships.
Copyright (c) 2025 Sutomo, Sumardi, Lesna Purnawan, Unes Juhaeni https://creativecommons.org/licenses/by/4.0
Functional Oversight Reform as a Strategic Instrument for Effective Regional Financial Governance
This study examines functional oversight reform as a strategic instrument to strengthen regional financial governance in Bone Bolango Regency, Gorontalo Province. The research is motivated by weak internal control systems and limited inspectorate capacity, which often trigger irregularities in financial management. Employing a descriptive qualitative approach with a case study design, data were gathered through in-depth interviews with key informants the Inspector of Bone Bolango Regency, three auditors, and two supporting staff supported by observations and document analysis. The analysis identifies five core themes. First, functional oversight reform through the Government Internal Control System SPIP, shifting supervision from reactive to preventive. Second, financial governance strategies emphasizing risk-based auditing and the creation of task forces within OPD. Third, the use of information technology to enhance transparency, efficiency, and real time risk mapping, though constrained by infrastructure and human resources. Fourth, the role of organizational culture, especially integrity, professionalism, and participatory leadership, in sustaining effective oversight. Fifth, community involvement via the whistleblowing system and the WASKITA Clinic, which strengthens accountability despite low participation. The study contributes theoretically by emphasizing the interplay of structural, cultural, and technological factors in determining the effectiveness of public sector oversight. From a policy standpoint, it highlights the need for stronger governmental commitment to empower inspectorates as internal supervisory bodies (APIP), enhance digital infrastructure, improve human resource competence, and expand public literacy on financial monitoring. These policy implications aim to build a more adaptive, accountable, and transparent financial oversight system that supports sustainable regional governance.
Copyright (c) 2025 radjak masjhur https://creativecommons.org/licenses/by/4.0
Deep Learning for HIV Screening Using Laboratory and Demographic Data
In this work, laboratory and demographic data were integrated to create a deep learning model for HIV screening. The rising incidence of HIV in Indonesia necessitates the development of more effective and precise screening techniques for early identification. The created methodology improves the accuracy of HIV status prediction by integrating many laboratory indicators, including total blood count, viral load, CD4 count, and patient demographic information. For the years 2020–2024, 5,847 patient samples from different Indonesian hospitals made up the dataset. A Deep Neural Network (DNN) architecture with Grid Search hyperparameter optimization was employed in this investigation. According to the evaluation results, the model obtained an F1 score of 93.5%, a sensitivity of 92.8%, a specificity of 95.1%, and an accuracy of 94.2%. When compared to using only laboratory data, the model's performance increased by 3.7% when demographic data was included. This methodology can lessen laboratory burden while assisting medical staff in doing HIV screening more quickly and accurately. An external validation plan has been created with a testing strategy using a separate dataset from ten referral hospitals that were not part of the model training process in order to guarantee the model's dependability in clinical application. To boost the confidence of medical staff, a workable implementation has been created in the form of an API and web application that can be included into the hospital's current information systems and provide an explanation of the prediction results. To help healthcare facilities with different resource levels embrace this technology, technical and clinical implementation recommendations are offered. In order to assess how well the model works to increase HIV detection rates and clinical workflow efficiency, a post-implementation impact evaluation is planned. The efficiency of HIV prevention and control initiatives in Indonesia might be greatly increased by incorporating this paradigm into the healthcare system.
Copyright (c) 2025 FIKA ULFA WIDOWATI https://creativecommons.org/licenses/by/4.0
Exploring Job Satisfaction: The Impact of Transformational Leadership and Interpersonal Communication on Work Discipline
The research attempts to consider swept-away (transformational) leadership and interpersonal communication and their effect on job discipline of subordinates. Good work discipline is vital to improve production performance and organization effectiveness. Transformative leadership offers the possibility to enrich employment and provide motivation, leadership, organizational objectives. Good interpersonal communication helps create better connections between managers and subordinates. A survey research method was undertaken in calculating this data study, with 200 XYZ Company employees being respondents. The data was acquired on the basis of questionnaire scales used to gauge variables such as transformational leadership, interpersonal communication in their work group and work discipline. These tests all showed data that was both reliable and valid. The analysis of data used multiple linear regression. The findings have shown that efficacious leadership and good interspecialty communication bring a beneficial result. The experiment showed coefficients of 0.220 and 0.345, respectively. A manager who is able to both motivate and provide open lines of communication can raise staff discipline. This study proposes that organizations need to lay more emphasis on leadership quality and interaction within the workplace to increase employee discipline levels and effectiveness of work.
Copyright (c) 2025 Darusman Darusman, Arifuddin https://creativecommons.org/licenses/by/4.0
The Influence of Internal and External Factors on Stock Price Fluctuations in Manufacturing Companies
As far as stock prices are concerned, the consideration of both internal and external factors, is very necessary. In this study, we use financial ratios and interest rates as variables to study from 2019 - 2023 the stock prices of manufacturing firms listed on the Indonesia Stock Exchange (IDX). Internal variables investigated here include Return on Assets (ROA), Debt to Equity Ratio (DER) and Earnings Per Share (EPS); while the external variable to be considered is the benchmark interest interest rate. The data used in this study is from the company's own annual reports and internet sources such as Yahoo Finance. A regression model with a Fixed Effect approach took into account both the differences in company characteristics. These analyses shed light on problems such as whether the ROA and EPS affect stock price positive effects at the expense of DER. Instead, we find a significant negative effect on stock prices by benchmark interest rate. The adjusted R² nugget shows that the model is capable of shedding 0.961 units lighter elsewhere in explaining stock price changes. These results are able to help investors and company managers make their market performance related decisions more intelligently by revealing the factors that influence stock price movements.
Copyright (c) 2025 Fredy Arios Tiblola, Ferdinant Nuru, Harum Putri Prawitaningrum https://creativecommons.org/licenses/by/4.0
Cluster of Foreign Tourists Using the K-Means Method Based on Arrival Data at I Gusti Ngurah Rai Airport (2018-2024)
Tourism is a vital sector in the economic development of Bali Province, with the number of international tourist arrivals through I Gusti Ngurah Rai International Airport as the main indicator. According to data from the Central Statistics Agency (BPS), the number of international tourists reached its peak in 2019 with over 16.1 million visits. However, in 2020–2021, there was a drastic decline due to the COVID-19 pandemic. In 2022, the number of international tourist arrivals began to show a significant recovery. In 2023, the number of international tourist arrivals to Indonesia reached 11.68 million, most of whom entered through major airports such as I Gusti Ngurah Rai Airport (Bali). The inaccuracy of the tourist arrival grouping process has had a negative impact on business growth and tourism revenue. This study aims to classify the countries of origin of international tourists based on the number of visits using the K-Means Clustering method, an effective unsupervised data mining algorithm for data segmentation. Data was obtained from the Central Statistics Agency (BPS), covering the number of tourist arrivals and their countries of origin from 2018 to 2024. The analysis process involves determining the optimal number of clusters using the Elbow Method, followed by grouping countries based on visit characteristics. The results of the study indicate that tourist countries of origin can be grouped into three main clusters: high-visit countries (Australia and China), medium-visit countries, and low-visit countries. This study provides strategic insights for the government and tourism industry stakeholders in developing more targeted policies, such as improving transportation infrastructure and implementing more effective marketing strategies to maintain and increase the number of tourist visits to Bali.
Copyright (c) 2025 Suci Rahmawati, Windy Lestari, Adika Setia Brata https://creativecommons.org/licenses/by/4.0
The Application of Visual Communication Design Strategies in User Interface (UI) Experiences on Digital Platforms
Visual design influences an app's user-friendliness in digital applications-this study takes Shopee, Gojek, and Ruangguru MSN with their interfaces as examples Looking through these popular apps 'current visual strategies, it is hoped that readers will come to understand how user engagement quality impacts on other details. To get this insight a Qualitative descriptive approach has been used in which direct observation and interviews were held for ten active users coming from different regions. The result shows well-organized, simple layouts enable users to experience the features more convenient. Gojek received the most enthusiastic response thanks to its clear design and general ease of access to main functions. Shopee, although extremely visually rich, was often felt to be too busy due to a plethora of concurrent promotions and features. Ruangguru, on the other hand, conveyed a relaxed atmosphere helpful to learning activities. But certain parts needed to be improved in order to facilitate accessibility betterThe findings suggest that visual arrangements more in tune with users' daily habits can lead to better experiences for users. The emphasis on being clear and structurally coherent emerges as one of the most egg-packing features in delivering smooth, pleasing user experience.
Copyright (c) 2025 Marta Eriska https://creativecommons.org/licenses/by/4.0
The Analysis of the Impact of Cloud Computing-Based Human Resource Information System Implementation on HR Management Efficiency in Multinational Companies
This research examines the effectiveness of a cloud computing-based Human Resource Information System on the efficiency of HRM in MNCs. Cloud computing helps streamline, flex and integrate HR data management and mitigates the dependency on local infrastructure, which is expensive and time-consuming. This application also improve access on real-time data improving synchronization among distributed teams. Adopting a quantitative method and causal descriptive research design, this research incorporated 150 participants, representing 10 multinationals ICTs firms that have embraced the use of cloud-based HRIS. The data was obtained by the means of questionnaires and analysed with the help of descriptive statistics and multiple linear regression analysis. The findings suggest that the adoption of cloud-based HRIS has a positive impact on HRM efficiency in terms of cost efficiency, cycle time reduction, data accuracy and user satisfaction. This indicates that this system provides stronger support of HR management capabilities, especially in the case of MTCS operating in more than one country.
Copyright (c) 2025 Irene Hasian, Anto Purwadi, Friska Nurliana Sirait https://creativecommons.org/licenses/by/4.0
Decision Support System for Asset Management using the Simple Additive Weighting Method
Effective and efficient asset management is a crucial aspect in supporting the operational sustainability of an organization. However, the decision-making process in determining whether an asset should be retained, repaired, or replaced is often conducted subjectively and lacks structure. This study aims to develop a Decision Support System for asset management using the Simple Additive Weighting method to assist in evaluating assets objectively based on multiple criteria. The developed system includes features such as a master data menu, alternative data input, SAW-based calculation processes, and a recommendation result display. System testing results showed that the values for accuracy, precision, recall, and specificity were each 80%, with 4 True Positive, 4 True Negative, 1 False Positive, and 1 False Negative. Based on these results, the system is considered valid and suitable for use as a decision-making tool in structured and measurable asset management processes. This level of accuracy also reflects the system's ability to accurately identify and classify data under both positive and negative conditions. Therefore, it can be concluded that this decision support system has a good level of reliability and is suitable for use as a supporting tool in asset management decision-making.
Copyright (c) 2025 Ni Made Yeni Dwi Rahayu, Ni Putu Dewi Eka Yanti https://creativecommons.org/licenses/by/4.0
Scarcity Strategies and Price Promotions in Enhancing Consumer Purchase Intensity
Competition is fierce in the market today, and companies are always looking for new ways that they can stay ahead of the game when it comes to capturing consumer attention. Two classes of approaches are commonly employed: product scarcity and price promotion with the intention of inducing consumer purchase intention. Artificially creating scarcity by limiting availability or offer duration helps establish value in the mind of the consumer. In the meantime, price promotions, e.g., discounts and specials, lower price barriers and drive impulse purchasing. The synergy of these tactics would, it is imagined, boost the appeal of a product. But it is still unknown the combined influence on the purchase quantity and it requires some more researching. Knowledge about the effects of scarcity as well as price promotions on consumer behavior is important for marketers who need to design more effective marketing promotions and sell as much during buynow periods as possible. This research aims to investigate the impacts of product scarcity and price promotion on consumer purchase intensity. A Quantitative Study, Descriptive and Causal Designs Were Used and Multiple Regression Analysis Was Used to Vet the Relationship Among the Variables. The sample was comprised of 300 online shoppers in the areas of electronics and fashion. The investigation also found that both product scarcity and price promotions had significant impacts on purchase intensity and that the impact of product scarcity was a unimodal one. Furthermore, the relationship was found to be moderated by scarcity and promotion discounting effects on purchase intention were magnified. The findings indicate scarcity appeals can increase willingness to purchase and could be characterized as a double-edged sword where too much scarcity leads to falling returns. When used in combination, these tactics can work well for businesses to get the most from their marketing strategy.
Copyright (c) 2025 Rofily Putriyandari, Ali Amran, Nany Budi Hardjayanti https://creativecommons.org/licenses/by/4.0
Strategic Analysis of Cloud Computing Adoption in E-Commerce Digital Transformation
The objective of this research is to conduct a review of strategies of cloud computing adoption towards the digital transformation of e-commerce. A qualitative review of literature was done using 14 literature articles between 2019 and 2024 to look at how companies adopt cloud technology. The result reveals that cloud computing has strategic advantages like lower operating costs, resource agility, and better customer data analytics. But there exist some challenges such as data security, dependance on a single Cloud service provider and organizational resistance to adopt the new technology. E-commerce firms are likely to be cautious adopters and adopt hybrid and incremental approaches to reduce risks and they will also offer enhanced staff training in relation to technical skills. We also do periodical reviews of cloud service providers to maintain the stability of the system. The findings of this research provide valuable insights for businesses to plan and govern their cloud computing adoption effectively and sustainably.
Copyright (c) 2025 Chriestina Chriestina https://creativecommons.org/licenses/by/4.0
Remote Work Dynamics: Managerial Challenges and the Test of Time in Human Resource Management
Information and communication technology advances have influenced how various organizations function, particularly the remote work. Although offering flexibility, this form of work has raised few challenges in HR management. This study seeks to examine the obstacles faced by managers in supervising their remote and in office staff. This study utilizes a qualitative method that examines data obtained from literature and related materials. The results show that while firms realize financial gains in the form of cost savings and better performance, there is a distance between remote workers and office workers and a gap in between both of them, particularly in working conditions and resource accessibility. Remote workers are having the typical remote worker issues that are impacting their productivity, but office workers are feeling underrepresented and it’s difficult for them to fit into this new model. However, many HR managers are not sufficiently well prepared to face the new adversities, particularly in terms of training, motivation and communication. Thus, the present study implies the need for more integrative policies and better preparedness of managers to facilitate adjustment to these transitions.
Copyright (c) 2025 Paulus Perey Untajana, Novita Souisa, Anthoneta Kopong https://creativecommons.org/licenses/by/4.0
Assessing Future Purchase Intentions in E-Commerce: An Empirical Study on Digital Consumers
The purpose of this study is to investigate the determinants of consumers' intention to make online purchases. With the advent of digitalization, consumer shopping behaviour has been altered and this trend has started to affect their decisions to buy products online. Purchase intention is a measure of the likelihood of making purchase decision after exposure to digital media. User experience, platform trust, quality of service, and the weight of promotions and offers should all be weighted in this decision. Moreover, the effect of social media and their content quality also influences the customer loyalty and repurchase intention. The method in this paper uses a quantitative method approach by employing the PLS-SEM (Partial Least Squares Structural Equation Modeling) which uses SmartPLS. 14 Analysis of Results The results indicate that IBS exert significant influence on ABS as well as it does on FPI. In addition, CBF and IQS also affect purchase intention in the future mediated by IBS. Such results also indicate a need to increase consumer involvement when using e-commerce platform, particularly with social media to enrich consumers' relationships and increase sales conversions.
Copyright (c) 2025 Rorlen, Margarita Ekadjaja, Christiandinata Tjandra Bravo https://creativecommons.org/licenses/by/4.0
Analysis of the Influence of Digital Marketing Strategies on Customer Loyalty in the Tiktok E-Commerce Industry
This study aims to examine digital marketing strategies on customer loyalty in the e-commerce platform TikTok. The population of this study was all TikTok users aged 18–25, and according to Heir, the sample size was a minimum of 200. This study used a quantitative approach with primary data collected through an online questionnaire. Data analysis techniques included instrument testing, simple linear regression, and hypothesis testing, analyzed using SPSS 26. The t-test results indicated that digital marketing strategies had a positive and significant impact on customer loyalty. In Indonesia, TikTok has become one of the most popular social media platforms, with high penetration among the younger generation.
Copyright (c) 2025 Ririn Ayuandira https://creativecommons.org/licenses/by/4.0
Building Sustainable Branding in the Hospitality & Tourism Industry: Integrating Corporate Identity, Social Responsibility, and Reputation
This study explores the association of corporate identity, social responsibility, and reputation in the development of successful sustainable branding in the hospitality and tourism sector of Indonesia. We used mixed methods applying quantitative analysis and collect the data in a systematic arrangement from various big cities considering the tourists. A 1,219-panel sample of small to medium-sized businesses were surveyed. Our conclusions are that many companies have successfully created an organizational identity internally through the alignment of communicated values and management's daily actions. Social and environmental obligations are demonstrated in supporting local communities, energy conservation and preservation of the culture. There are still a few that are not officially documented, but everybody knows these to be part of the company’s overarching strategy. Corporate image, from a job evaluation standpoint, is supported by open communication, listening to feedback and a digital presence. The results of the path analysis support the effect of corporate identity on social action and reputational perception. And the connection between social responsibility and reputation is robust. Relationships between variables remain constant, while regional comparisons reveal diverse trends. Bali is the most advanced when it comes to identity and reputation, with Lombok and Labuan Bajo concentrating more on community engagement. Interviews and focus groups reveal that involvement of the staff in social activities also contributes to sense of ownership and pride in the workplace. The fusion of values, participation and regular behavior author the maintenance of public trust in an industry so based on perception.
Copyright (c) 2025 Suyamto, Dian Deliana, Sujatmiko https://creativecommons.org/licenses/by/4.0
The Impact of Social Media Usage on MSME Performance: The Role of Innovation Capability as a Moderating Factor
The study seeks to investigate the impact of social media use on Micro, Small and Medium Enterprise (MSME) performance, and the moderating effect of innovation capability on the link. Amid the digital technology boom, MSMEs leverage TikTok, Instagram, Facebook among others to widen market reach, brand presence and talk to their audience directly. The opportunity and threat of social media but but can be a double edged sword in terms of the mSME’s level of capability to innovate in relation to marketing strategy. Innovation capability (product development, technology use, market responsiveness) as a moderator has proved to have the most mediating processes between social media and MSMEs performance. This research is quantitative by distributing a questionnaire of 300 MSME respondents that using social media. The findings indicate that the utilisation of social media has a significant effect on the performance of MSMEs, which is also moderated by innovativeness. Its effect on perfornlance is however not the same For all SNSs. This finding indicates that innovative-related MSMEs have potential to utilize social media to improve business performance and growth better.
Copyright (c) 2025 Willyan Sahetapy, Agustinus Biay, Rusdi https://creativecommons.org/licenses/by/4.0
Collaborative AI in Music Composition: Human-AI Symbiosis in Creative Processes
Artificial Intelligence (AI) has ushered in a revolutionary change that mixes creative abilities between human composers and computer-powered intelligence during musical composition. The investigation examines the musical application of collaborative AI which exists as an aid to composers by suggesting ideas and creating motifs alongside enhancing musical arrangements. OpenAI’s MuseNet alongside Google’s MusicLM brought about new generative model technologies which enable musicians to have real-time access to adaptive tools that interpret as well as transform musical concepts. Based on secondary research and case studies, the article examines human composer-AI system partnerships to explain how their combined work restructures artistic authorship and creative methods. The paper uses today's artists with AI support and collaborative works between different fields to demonstrate the partnership's core dynamics. The discussion explores two main elements about AI music production which are human involvement versus programming automation alongside understanding emotional integrity in synthetic musical compositions together with co-creative copyrights regulations. This research evaluates how partnership between humans and AI components transforms musical education along with the process of composition for those without a musical background while testing established artistic boundaries of genre classification and original content production. This research project depicts AI as an amplification force that generates human creativity rather than being considered disruptive by showing how intelligent feedback systems work together with human agents. Co-creation behavior in this hybrid method motivates a fresh depiction of musical expression which sparks explorations about art creation and authorship roles and identity function in the future.
Copyright (c) 2025 Sunish Vengathattil https://creativecommons.org/licenses/by-nc-sa/4.0
An Empirical Study on Product Quality and Competitive Pricing as Key Factors for Business Success
This study examines the impact of product quality and competitive pricing on business success in the retail sector. A quantitative approach was employed with a survey design to collect data from 200 business owners in Jakarta a structured questionnaire measured product quality, competitive pricing, and business success. Multiple linear regression analysis assessed the relationship between the two independent variables and business success as the dependent variable. The analysis results show that product quality significantly influences business success, with a regression coefficient of 0.542, indicating that an increase of one unit in product quality will improve business success by 54.2%. Meanwhile, competitive pricing also positively impacts business success, with a coefficient of 0.318. The p-values for both variables are less than 0.05, indicating their effects are statistically significant. The regression model generated an adjusted R² value of 0.645, meaning that product quality and competitive pricing explain 64.5% of the variation in business success. Hypothesis testing confirms that both variables have a positive impact, with product quality having a more significant effect. These findings suggest that retail businesses need to enhance their product quality and set competitive prices to succeed in a competitive market. This study provides insight into the role of these two factors in achieving better business performance. Fire extinguishers, eyewashes, a first aid kit, a balance board, and a smoke detector will support the hazardous waste collection centre facility.
Copyright (c) 2025 Mersiana Setiarini, Christy, Sutomo https://creativecommons.org/licenses/by-nc-sa/4.0
Cybersecurity Mesh and Edge Computing on the Analytics Platform of the Indonesian Telecommunications Industry
This research analyzes the implementation of cybersecurity mesh and edge computing on analytics platforms in the Indonesian telecommunications industry. The geographical complexity and disparity of Indonesia's telecommunications infrastructure create unique challenges in securing and optimizing analytics platforms using a mixed-method approach with a sequential explanatory design. The research involves 15 national telecommunications operators representing 85% of the market share. Data were collected through structured surveys, in-depth interviews, and field observations during the period from January to June 2024. The research results show that the integration of cybersecurity mesh with edge computing increases operational efficiency by 45% and reduces latency by up to 75% compared to conventional architecture. The developed integration model successfully accommodates Indonesia's geographical characteristics and complies with national regulations. The implementation of a cybersecurity mesh increased the effectiveness of cyber threat detection by 89%, while edge computing optimization resulted in bandwidth savings of up to 60%. This research contributes to the development of a national blueprint for optimizing telecommunications analytics platforms that are adaptive to Indonesia's conditions. These findings provide practical implications for telecommunications operators in optimizing digital infrastructure. This can enrich the literature by considering integration models from geographical and regulatory aspects.
Copyright (c) 2025 FIKA ULFA WIDOWATI https://creativecommons.org/licenses/by-nc-sa/4.0
Future-Proofing AI Talent in The United States: The Role of Academia in Meeting Industry Demands
The rapid growth of technology has created a strong demand for skilled professionals, requiring universities to adapt their programs to meet industry needs. This paper examines the role of higher education, especially in the United States, in preparing students for the future workforce by addressing key challenges such as keeping curricula up to date, securing research funding, and providing hands-on training. To tackle these issues, universities are introducing specialized programs, encouraging interdisciplinary learning, and building stronger partnerships with industries to close the skills gap. Additionally, new educational tools are being used to personalize learning and better equip students for technology-driven careers. This paper emphasizes that continuous innovation in higher education is essential to developing a well-prepared, industry-ready workforce, helping the U.S. maintain its leadership in the global economy.
The Impact of Work Experience and Compensation on Employee Performance in a Growing Company
This study examines the relationship between work experience, compensation, and employee performance in growing companies. Using a quantitative approach and survey design, the research involved 100 technology, retail, and manufacturing employees. Data was collected through a questionnaire covering work experience, compensation, and employee performance. Descriptive analysis results show that most respondents have work experience relevant to their current job and are satisfied with the compensation received. However, there is variation in productivity and work quality. This study tests the simultaneous influence of work experience and compensation on employee performance through multiple linear regression analysis. The regression results indicate that work experience has a more significant impact on employee performance than compensation. Additionally, normality and multicollinearity tests confirm that the data meets the necessary assumptions for regression analysis. The findings clearly show the factors influencing employee performance in growing companies. Company management may consider enhancing compensation and offering more experience-based training to support improved employee performance.
Copyright (c) 2025 Friska Nurliana Sirait, Anto Purwadi, Rusdi https://creativecommons.org/licenses/by-nc-sa/4.0