International Journal of Science, Technology & Management (IJSTM)
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    1053 research outputs found

    An Ergonomic Evaluation of Mosque Ablution Areas (Shadirvans): A User Perception Study

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    Mosque ablution areas (shadirvans) play a critical role in supporting ritual purification; however, their design is largely unstandardized and rarely evaluated from an ergonomic perspective. This study investigates the effectiveness of existing shadirvan designs by assessing user perceptions of comfort, safety, hygiene, and usability. A questionnaire-based survey was administered through structured interviews with 200 male users across 15 mosques in Istanbul, Türkiye. Fourteen Likert-scale items were used to evaluate key design and functional aspects of shadirvans. Descriptive analyses and multivariate analyses of variance (ANOVA) were conducted to examine the effects of demographic factors and mosque-specific design characteristics on user perceptions. The results indicate that while shadirvans are generally preferred over alternative ablution solutions, their performance is inconsistent and often insufficient. Common problems were identified in footwear management, water splashing control, and the organization of wet and dry zones. Traditional features such as shared clogs were largely perceived as uncomfortable and unhygienic. Statistical analyses revealed that user perceptions were predominantly influenced by the mosque itself, rather than by demographic characteristics, highlighting the strong impact of design variability. These findings provide empirical evidence that the absence of standardized design guidelines leads to significant differences in usability and user satisfaction. The study underscores the need for evidence-based, user-centered design standards to improve comfort, hygiene, and safety in mosque ablution facilities

    Implementing Green Marketing Communication Strategies to Build Corporate Reputation and Consumer Trust: A Qualitative Case Study Orientation in Manufacturing Companies in Tangerang City

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    Environmental sustainability communication has become an essential corporate strategy, particularly within manufacturing sectors in emerging economies. This study explores how manufacturing companies in Tangerang City, Indonesia, implement green marketing communication strategies and how these strategies influence corporate reputation and consumer trust. Using a qualitative multiple-case study approach, data were collected through semi-structured interviews with 27 participants, including marketing managers, sustainability officers, consumers, NGO representatives, and government officials, supplemented with document analysis and field observations. Thematic analysis identified three dominant communication strategies: informational, emotional, and participatory green communication. The credibility of these strategies is shaped by transparency, message consistency, evidence-based claims, and alignment between communication and environmental practices. Findings reveal that firms adopting high-transparency green communication experience stronger reputation enhancement and improved consumer trust, while firms with inconsistent environmental performance face skepticism and accusations of greenwashing. A conceptual model is proposed describing the pathways through which green communication enhances trust and reputation. This study contributes to the literature by integrating signaling theory, green marketing theory, and trust theory to explain communication credibility in the context of developing countries. Practical implications are offered for manufacturers seeking to strengthen sustainability communication and legitimacy

    Relative Predictive Accuracy of Machine Learning-Enhanced Long Memory Volatility Models for Modeling Nigeria Energy Data

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    This study investigates the relative predictive efficacy of machine learning-augmented long memory volatility models in analyzing Nigeria's energy statistics from January 1960 to December 2024. Utilizing monthly energy pricing information sourced from the Central Bank of Nigeria, the research employs thorough econometric and computational methods to evaluate the persistence of volatility, significant structural changes, and long-term dependencies existing within the energy data of Nigeria. Initial assessments show that raw energy data display non-stationarity, structural volatility, and clustering phenomena, with the Augmented Dickey-Fuller, Phillips-Perron, and KPSS tests affirming non-stationarity in the level data and stationarity in the returns data. The analysis of structural breaks utilizing the ruptures algorithm discovers eight notable breakpoints that align with key policy changes, worldwide oil crises, and organizational transformations in Nigeria’s energy sector. To represent the noted persistence and long memory, established econometric models such as ARFIMA, FIGARCH, and HYGARCH are estimated and then combined with Artificial Neural Networks (ANN) and Support Vector Regression (SVR). The outcomes demonstrate that hybrid models significantly exceed the performance of their isolated versions, with ARFIMA–ANN and FIGARCH–ANN showing the lowest Mean Squared Errors at 0.034 and 0.035 respectively. The ANN consistently shows a greater capability to capture nonlinear volatility patterns, while SVR demonstrates a moderate level of success. The results highlight that integrating long-memory stochastic models with machine learning frameworks provides strong predictive performance for complex energy series that depend on different regimes. These findings have significant consequences for the formulation of energy policies, management of volatility, and investment strategies in Nigeria's transforming energy sector. The study concludes that econometric models enhanced by machine learning are vital for developing adaptable forecasting systems in emerging markets facing structural and policy changes

    The Key Role of Menu Innovation: Optimizing Digital Marketing Performance in the Culinary Industry of South Tangerang, Banten Province

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    Research Purpose this study seeks to thoroughly examine the implementation strategies behind Menu Innovation, outline approaches for Enhancing Digital Marketing Performance, and identify the essential role Menu Innovation plays in supporting such optimization within the culinary sector of South Tangerang (Tangsel), Banten Province. A Descriptive Qualitative method was applied, focusing on culinary SMEs operating in Tangsel. Data were gathered through in-depth interviews with business owners and marketing personnel, complemented by non-participant observation of digital content. Research Findings the qualitative results indicate that Menu Innovation is a central driver in improving digital performance. Its influence emerges through two primary mechanisms:(1) Menu Innovation is intentionally crafted as a visual asset that encourages the creation of User-Generated Content (UGC). Such content effectively boosts social-media engagement rates and organic visibility.(2) Menu Innovation offers an authentic storyline that strengthens digital storytelling efforts, enabling narrative transportation, which in turn has been shown to increase digital conversion rates (from viewers to online orders)

    ESG Performance and Firm Size Drive Green Investment: The Mediating Role of Profitability

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    The purpose of this study is to analyze the impact of ESG (Environmental, Social, and Governance) indicators and company size on green investment, with profitability as a mediating variable, in companies listed on the IDX ESG Index for the 2022-2024 period. Based on sustainable economic theory, companies must balance economic objectives with social and environmental responsibilities to achieve long-term growth. The approach used is quantitative, with an explanatory method utilizing secondary data in the form of annual reports, sustainability reports and ESG indicators. The research sample consisted of 70 companies selected by purposive sampling, and data analysis was conducted using path analysis based on panel data regression using Eviews. The results of this study are expected to show that ESG indicators and company size have a positive impact on profitability and green investment, with profitability mediating the relationship. These findings contribute to strengthening the green finance literature and provide practical implications for companies in optimizing economic sustainability strategies in Indonesia

    Financial Feasibility of Small Scale Liquefied Natural Gas Carrier (SSLNGC) Investment: A Capital Budgeting Analysis For PT Bahtera Adhiguna Putera (BAg)

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    Indonesia’s target to achieve net zero emissions by 2060 requires a strategic shift from coal to cleaner energy sources, with Liquefied Natural Gas (LNG) serving as a key transitional fuel. PT Bahtera Adhiguna Putera (BAg), a subsidiary of PT PLN Energi Primer Indonesia (PLN EPI), plays a vital role in energy logistics but currently lacks the fleet capacity to transport LNG. To address this gap, this study evaluates the financial feasibility of investing a Small Scale Liquefied Natural Gas Carriers (SSLNGC) through a capital budgeting approach. The research uses both qualitative and quantitative methods. PESTEL analysis is applied to assess the external environment and operational readiness, while capital budgeting tools such as Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period, and Weighted Average Cost of Capital (WACC) are used to evaluate financial performance. The study tests several financing structure which is using 100% internal cash for Scenario 1 and mixed financing for Scenario 2 which ratio is 20% internal cash and 80% SHL scenario. A sensitivity analysis is also conducted to identify the most critical variables affecting investment outcomes and to measure the project’s financial resilience under different market conditions. The results show that the SSLNGC investment is both technically and financially feasible. The vessel’s capacity is suitable for port depth limitations and LNG demand in the targeted region. Financially, the investment is feasible, and the most optimal financing structure is Scenario 2 because has smaller WACC, higher NPV values, higher IRR compared to the WACC, and a reasonable payback period, confirming the project’s profitability. This also supported by the smaller value in the Scenario 2 sensitivity analysis calculation compared to Scenario 1. To keep the project profitable in the long term, BAg needs to ensure all the financial and operational key variables remain the same as the overall feasibility calculation is highly dependent on those variables

    Digital Marketing Strategy For Market Visibility In Regulated B2b Services: A Case Study of A Hazardous Waste Transportation Firm In Indonesia

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    This paper will focus on how lack of digital marketing will limit the market presence and acquisition of clients in controlled business-to-business (B2B) service companies. Digital presence in the modern B2B procurement has ceased to be a discretion tool; instead, it is a legality-checking mechanism and supplier pre-screening tool at the initial stage. It is a single-case study with a qualitative design that seeks to examine PT Surya Cipta Wisesa, which is a hazardous waste transportation company in Indonesia that has low digital visibility, despite having good operational backgrounds. The information was gathered in the form of semi-structured interviews with internal participants and buyer-side informants, competitor digital audits, and document analysis. Results show that the major problem of the firm is not a lack of operations but a lack of legitimacy signalling: valuable resources cannot be seen when digitally mediated buyer screening occurs, which results in systematic non-consideration in sets of consideration. The internal evidence shows that the regulatory sensitivity and document management limitations- not cost is the major obstacle to the development of the digital presence. The paper proves that the way that digital marketing in controlled B2B settings works is as a legitimacy infrastructure, and not a promotional practice. It has proposed a gradual, legitimacy-first digital approach that is clearly defined in terms of definition of done and key performance indicators in each of the implementation phases. The study adds to the body of knowledge on B2B marketing by conceptualizing the digital absence as a strategic capability gap and provides useful recommendations on SMEs functioning in regulated markets of the emerging market

    The Effect of Company Behavior on Financial Success in Manufacturing in Banten Province

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    This study explores the influence of firm behavior regarding financial performance in manufacturing companies located in Banten Province during the period 2021–2024. Employing a numerical approach and Structural Equation Modeling (SEM) with a covariance-based method, the research examines the influence of three behavioral dimensions—transformational leadership, organizational culture, and managerial strategy—regarding essential financial metrics such as ROA, ROE, and NPM. The findings reveal that overall firm behavior exerts a substantial beneficial impact on financial performance, confirmed by strong goodness-of-fit indicators. Further analysis indicates that transformational leadership, organizational culture, and managerial strategy each contribute meaningfully to financial outcomes. These findings highlight the critical role of behavioral factors in enhancing profitability and competitiveness. The study offers theoretical contributions to behavioral governance literature and practical implications for leadership development, cultural alignment, and adaptive strategic management in dynamic market environments. Limitations include regional scope and reliance on secondary data future research should employ longitudinal and cross-industry designs for broader generalizability

    Identification of Threats To The Sustainability of Smallholder Dairy Farming Using A Multidimensional Risk Perspective

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    The sustainability of dairy cattle businesses in smallholder farms faces various complex and interconnected threats, especially after the outbreak of Foot-and-Mouth Disease, which worsened the national cattle population and milk production. This research aims to identify threats to the sustainability of dairy cattle businesses in Suci Village, Panti District, Jember, using a multidimensional risk approach that includes ecological, economic, social, technological, and institutional dimensions. A quantitative approach was used with a census method on 25 dairy farmers as respondents, using a structured questionnaire. The research results indicate that the majority of dairy farms fall into the "less sustainable" category, characterized by low availability of green fodder, barn capacity, number of livestock, income, education level, farming experience, group role, and low technology utilization. Leverage analysis identifies several sensitive attributes that most influence sustainability levels, namely agricultural waste utilization (ecological), number of livestock (economic), education and farming experience (social), group role (institutional), and mobile phone usage (technological). These findings highlight the need for comprehensive interventions in farmer capacity building, institutional strengthening, technology modernization, and improved feed and waste management to promote the sustainability of smallholder dairy farming at the village level

    Trends and Knowledge Gaps In Fish-Based Fermented Foods: A Bibliometric Analysis From The Last Decade (2015-2024)

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    Fish-based fermented foods are integral to traditional diets across Asia, Africa, and Europe, valued for both their nutritional role and cultural significance. Increasingly, they are also studied for potential functional properties such as probiotic activity and bioactive compounds, yet their global research landscape has not been systematically assessed. This study presents a bibliometric analysis of global research on fish-based fermented foods published between 2015 and 2024. Data were retrieved from the Scopus database and analyzed using the Bibliometrix R package and Biblioshiny interface. A total of 263 documents were identified across 145 sources, authored by 1,150 researchers. The field has shown rapid growth, with an annual publication increase of 27.01% and an average of 28.48 citations per article, indicating strong scholarly visibility. Most contributions originated from East and Southeast Asia, particularly China, South Korea, and Thailand, reflecting the cultural and culinary importance of fermented fish in these regions. Author productivity followed Lotka’s law, with a small group of core researchers driving sustained output. Keyword co-occurrence and thematic mapping revealed dominant clusters around fermented fish sauce, lactic acid bacteria, and microbial diversity, alongside emerging themes related to fatty acids and bacterial communities. Despite these advances, the analysis highlighted notable gaps, including limited international collaboration and underrepresentation of research from Africa and parts of South Asia. These findings suggest that while the field is expanding and diversifying, greater cross-regional engagement and methodological innovation are needed to fully explore the nutritional, functional, and socio-economic dimensions of fish-based fermented foods

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    International Journal of Science, Technology & Management (IJSTM)
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