Case Study Of Company Research Articles

Introduction of POP index for monitoring and enhancing plant overall performance

This research presents the Plant Overall Performance (POP) index as a framework for evaluating and enhancing manufacturing plant performance. A case study in a fiber cement company with five plants in India employed a systematic methodology, starting with a literature review and assessment of current practices. The POP index integrates key operational dimensions—productivity, quality, cost, and environmental, health, and safety (EHS) metrics—into a unified performance measure. Monthly evaluations reveal specific strengths and weaknesses in each plant, enabling targeted improvement initiatives that contribute to overall operational excellence which can be implemented across the industries to derive the intended benefits.

Turning Agricultural Biomass Ash into a Valuable Resource in the Construction Industry—Exploring the Potential of Industrial Symbiosis

This paper presents a circular business model (CBM) designed to promote the valorization of agricultural biomass ash for producing an alternative binder in construction, aiming to reduce CO₂ emissions and landfill waste. The circular economy framework emphasizes regeneration and restoration to minimize resource and energy use, waste generation, pollution, and other environmental impacts. Aligned with these principles of sustainability, the construction industry, energy sector and food processing industry can establish a shared interest through industrial symbiosis. In the proposed CBM, waste from one industry becomes an input for another. The model leverages industrial symbiosis by using sunflower husk ash (SHA) as an alternative hydroxide activator for alkali-activated materials. A case study of companies in the Republic of Serbia that produce SHA as waste forms the basis for this model, featuring promising results of experimental testing of three alkali-activated mortars produced by activating ground-granulated blast furnace slag (GGBFS) with different SHA contents (15, 25 and 35 wt% GGBFS), instead of commercially available hydroxide activators. The potential of SHA as an alternative activator was assessed by testing flow diameter and compressive strength at 7 and 28 days of curing. The highest 28-day compressive strength was attained for the addition of 25% SHA (28.44 MPa). The promising results provided a valid basis for CBM development. The proposed CBM is stream-based, resulting from merging and upgrading two existing industrial symbioses. This study highlights the benefits of the CBM while addressing the challenges and barriers to its implementation, offering insights into the possible integration of agricultural biomass ash into sustainable construction practices.

PV chart management innovation based on production balance ratio: a case study of Company S’s GaAs process improvement for compound semiconductors

PV chart management innovation based on production balance ratio: a case study of Company S’s GaAs process improvement for compound semiconductors

The Influence of Industrial Regulations, Strategic Alliances, and Market Competition on Perceived of Firm Performance (Case Study of a Private Construction Sector Companies in Balikpapan)

Providing infrastructure is one of the fundamental sectors that must be realized in the context of economic development so that general prosperity can be achieved. In its implementation, the Government has determined projects that fall into the National Strategic Project (PSN) category, the aim of which is to meet basic needs and improve community welfare. Kalimantan Island in particular has 13 projects with a total investment value of Rp. 240.3 trillion. Funding for basic infrastructure and connectivity projects comes from the government, government-private partnerships, state-owned companies and the private sector. One of the main regulations is the public-private partnership (PPP) policy, which allows BUMN and private companies to work together in developing strategic projects. Poor governance in state-owned enterprises hinders effective collaboration with private companies in the Balikpapan construction sector, primarily through capability, resource and politicization gaps that affect industry regulations, market competition and strategic alliances. This research uses a survey method to collect data using a questionnaire. Sampling was carried out using a non-probability method with a purposive sampling approach. The sample in this study consisted of 31 respondents who were company representatives or directors or top managers of private companies in Balikpapan City which formed alliances with other private companies when participating in National Strategic Projects. This research uses SEM-PLS with the SmartPLS 3.0 application tool. Based on the results of this study and the discussion that has been carried out, the following conclusions can be drawn: Industry regulation affects financial performance, industry regulation affects customer performance, industry regulation affects business process performance, industry regulation affects learning and growth performance, strategic alliance affects financial performance, strategic alliance affects customer performance, strategic alliance affects business process performance, strategic alliance affects learning and growth performance, market competition affects financial performance, market competition affects customer performance, market competition affects business process performance, market competition affects learning and growth performance, and overall that industry regulation, strategic alliance, and market competition have significant influence on perceived performance of private companies in Balikpapan construction sector.

Ecological tax on industrial air pollution and its impact on reducing emissions in the cement industry: a case study of Lafarge Holcim cement company in Algeria

This study aims to highlight the importance of ecological tax in reducing air pollution caused by the cement industry. The focus is on limiting the emissions resulting from cement dust and polluting gases surrounding the Lafarge Holcim cement plant and its neighboring areas. The study explores the Algerian laws and decrees regulating the ecological tax on industrial air pollution, specifically the limits on dust and gas emissions set by Executive Decree No. 138/06, which governs the emission of dust, solid and liquid particles, and gases into the atmosphere. Among the key findings, the effectiveness of the ecological tax in reducing the amount of gas and cement dust emissions into the air surrounding the factory was evident. This includes gases such as sulfur oxides (SOX), carbon monoxide (CO), and nitrogen oxides (NOX). As a result, the company adopted an environmentally sustainable policy, investing in cleaner production technologies aimed at reducing greenhouse gases and cement dust emissions. This approach aligns with the ecological tax on industrial air pollution and demonstrates Lafarge Holcim's commitment to environmental sustainability.

Can international buyer-supplier relational attributes influence the intention to source from local suppliers? A case study of International Oil Companies in Tanzania

This study explores whether International Oil Companies (IOC) intending to source their non-consultancy services from local providers are affected by their respective strategic relationships with international service providers. International Oil Companies (IOC) exploring oil and gas in Tanzania were used as a case study to represent the group of buyers. This study adopted Industrial Marketing and Purchasing perspectives (IMP) on buyer-supplier relationships, where the structural and functional attributes of buyer-supplier relationships were examined. Structural Attributes include continuity, complexity, interdependence, and trust, while Process Attributes include adaptation, conflict, cooperation, socialisation, and formalisation. Buyers’ intention to source from local suppliers was measured by four dimensions: presence of sourcing policy from local suppliers, presence of activities for creating awareness among local suppliers about supply opportunities, presence of relaxed evaluation criteria, and payment scheme that favours local suppliers and establishes a central unit for coordinating all activities intended to facilitate sourcing from local suppliers. A survey design was used, whereby primary data were collected from 189 employees working at middle- and top-level positions in oil and gas companies. Data analysis involved examining descriptive statistics for respondents’ attributes and inferential statistical analysis, where relationships between the study variables were examined. The findings show that, given the new market constraints and without any forceful inducement, OICs will consider sourcing from local suppliers despite the ongoing strategic relationship with international suppliers. Therefore, host countries should focus on developing the competence of local suppliers to meet IOCs’ expectations.

The Role and Impact of Zombie Firms in the Economic System: An Examination of Financial Sustainability and Innovation

Zombie firms, which are financially unsustainable, unable to pay their debts, and continue to survive face issues such as low profit margins, high debt burdens, and weak cash flows. In this context, the aim of this study is to examine the characteristics of these zombie companies, which Are not often adressed in the literature, and to evaluate their roles and impacts on the economic system. To achieve this aim, existing literature on zombie firms in both the world and Turkey has been reviewed, and a case study of a sample company has been analyzed to derive findings.According to the findings, zombie firms are characterized by high debt levels, negative profit profiles, high debt-to-equity ratios, elevated financial risks, and threats to their financial sustainability. It is observed that such companies also face high production costs and incur losses from their operations. Furthermore, the presence of zombie firms tends to increase during economic downturns, reinforced by low interest rates and government support. The findings indicate that zombie companies struggle to adapt to market dynamics and competitive conditions, remaining distant from innovation.Finally, the results of the study provide significant recommendations for both investors and policymakers.

Research on Financial Risks in the Food Retail Industry under the Background of New Retail Transformation—A Case Study of Company G

Research on Financial Risks in the Food Retail Industry under the Background of New Retail Transformation—A Case Study of Company G

LCA-emergy and carbon footprint analysis in a steel industry reporting system: A case study of a Chinese steel company.

The steel industry is one of the heavy industries with significant global environmental impacts, and China, as the largest steel-producing country, holds representative significance for global sustainability in the steel production company. This study, based on data from China's largest steel company, quantitatively researched sustainability using a whole life cycle emergy approach and carbon footprint method from 2012 to 2022. The results indicate that, analyzing unit emergy values (UEVs) types, foundational UEVs are the lowest. Gas emissions increase UEVs indicators, with a 5% rise in 2012. Clean energy inputs reduce steel system burdens, lowering UEVs by about 2%. Solid waste and wastewater raise UEVs due to costs, like a 2% increase in 2012. Despite occasional fluctuations, the overall trend shows a decline, nearing the standard value of 1. This signals continuous enhancement in Baosteel Company's port product line sustainability. For instance, the basic ESI dropped from 11.5 in 2012 to 4.2 in 2022, highlighting substantial progress. This consistent improvement underscores Baosteel's dedication to environmental stewardship, resource efficiency, and operational efficacy. Moreover, the application of clean energy, waste gas/solid waste/wastewater treatment, energy-saving technologies, intelligent operations, artificial wetland systems, etc., has enhanced the sustainability of the steel production system. In the face of the profound impact of artificial intelligence in the future, the dynamic and long-term sustainable characteristics of the steel product production system will be the focus of the next research steps. The most significant feature of this paper compared to current research is that it evaluates the dynamic relationship between China's steel production and the ecological environment, revealing the ecological energy value and carbon emissions research throughout the entire life cycle of the steel industry.

Enhancing Production Processes in The Medical Industry: A Six Sigma Case Study with Industry 4.0 Integration

This article investigates a successful case study of a medical industry company implementing Six Sigma methodologies. Focused on steel cutting operations, the study utilized the DMAIC approach, revealing a process operating at a sigma level of 3.4. Embracing the core principles of the Six Sigma approach and statistical problem-solving techniques, the company aimed for continuous improvement. The initial phase involved a meticulous analysis of the existing process, identifying and rectifying errors and defects. Utilizing appropriate statistical tools for data collection and analysis, the study then pinpointed root causes within the process and developed improvement strategies. The article highlights Six Sigma as a powerful tool for enhancing product and process quality. This paper showcases how the Six Sigma approach was implemented in a medical industry company, demonstrating successful outcomes through improved steel cutting processes

Innovative Approaches to the Development and Application of Software in International and Warehouse Logistics: Current Trends and Future Perspectives

Abstract This study aims to explore the transformative role of advanced logistics software in optimizing supply chain operations. It highlights how cutting-edge technologies such as AI, IoT, and blockchain are integrated to enhance operational efficiency, reduce costs, and improve service delivery. Methodology - The research applies a mixed-method approach, combining quantitative analysis of logistics performance metrics with qualitative case studies of companies that have implemented advanced logistics software. Data were collected from industry reports and academic literature to assess the impact of these technologies. Findings - The analysis revealed that integrating advanced logistics technologies can reduce operational costs by 15-20% and improve delivery times by 25%, as evidenced by ARDI Express. Moreover, the adoption of modular software platforms enables firms to customize solutions based on their specific needs, ensuring flexibility and scalability. Companies like Amazon and Walmart have achieved significant improvements in route optimization and demand forecasting through AI-powered systems. Conclusion - The study concludes that advanced logistics software is crucial for maintaining competitiveness in a dynamic market. Future research should focus on developing unified platforms tailored for small and medium enterprises (SMEs) and exploring the potential of AI in autonomous logistics systems.

Innovation of Business Models in the Digital Economy: A Case Study of Start-up Companies

This research aims to analyze the impact of digital technology adoption on the business performance of startup companies in Indonesia. Using a random sampling method, five startups were selected as respondents, and data were collected through a questionnaire that has been tested for validity and reliability. The validity test results show that all questionnaire items are valid, with the calculated r value greater than the r table value. The reliability test using Cronbach’s Alpha coefficient produces a value of 0.78, indicating that the research instrument is consistent and can be reused. Descriptive analysis reveals that the majority of startups operate in the fintech, edutech, and healthcare sectors, with most having utilized technologies such as artificial intelligence (AI) and data analytics. The findings indicate that digital technology adoption positively impacts business performance, especially in enhancing operational efficiency and expanding market reach. Startups that maximize the integration of digital platforms experience significant growth in terms of user numbers and revenue. However, challenges such as cyber security, the digital divide, and marketing competition remain major obstacles. This research also emphasizes the importance of government policies in supporting a conducive digital ecosystem so that startups can overcome these hurdles and continue to innovate. With the right strategies and optimal utilization of technology, startups in Indonesia have great potential to grow and contribute significantly to the national digital economy.

Role of System Resilience in Dealing with Threats Using an Entropy-Based TOPSIS Approach: A Case Study in an Oil Products Distribution Company

Objectives: The current study aimed at assessing the ability of system resilience against threats using an integrated method based on entropy and technique for order of preference by similarity to ideal solution (TOPSIS) in an oil company. Methods: The threats were identified through field observation, literature review, and expert opinion in the industry. Afterward, the required data were gathered, and the resilience status was examined using three structured questionnaires for each category of the threats. The weights of resilience criteria computed for each group of the threats using entropy, and were then ranked through the TOPSIS method. Results: Learning (0.34) and anticipating (0.15) had the highest and lowest impacts on the category of regular threats, respectively. In the case of irregular threats, anticipating (0.31) and monitoring (0.21) had the highest and lowest impacts, respectively. As for unexampled threats, learning and Anticipating (0.26) had the highest impact, and responding (0.23) had the lowest impact. The results of TOPSIS analysis indicated that regular threats, irregular threats, and unexampled threats were ranked in the first, second, and third positions with scores of 0.52, 0.48, and 0.46, respectively. Conclusions: To ameliorate resilience in complicated systems, managers should strengthen RE-related indicators along with working on the indicators which are in poor condition. The findings of this study can be used by managers and decision-makers to identify system weaknesses and improve comprehensive technical and applied plans.

Driving innovation through organizational restructuring and integration of advanced digital technologies: a case study of a world-leading manufacturing company

Driving innovation through organizational restructuring and integration of advanced digital technologies: a case study of a world-leading manufacturing company

Peran Akuntansi Lingkungan Dalam Meningkatkan Tanggung Jawab Sosial Perusahaan

The role of environmental accounting has become increasingly significant with the growing focus on sustainability and corporate social responsibility (CSR) issues. Environmental accounting serves not only as a tool for recording and reporting but also as a strategic instrument that helps companies identify, measure, and manage the environmental impacts of their operational activities. This study aims to analyze the contribution of environmental accounting in supporting CSR implementation, focusing on how environmental accounting information influences managerial decision-making and stakeholder perceptions. The research employs a qualitative approach through literature reviews and case studies of companies that have implemented environmental accounting in their sustainability reports. The findings indicate that companies consistently applying environmental accounting tend to have better reputations, enhanced public trust, and a demonstrated commitment to sustainability. Moreover, environmental accounting promotes resource efficiency and innovation in business processes. Thus, environmental accounting becomes an integral component in strengthening corporate social responsibility while creating long-term value for both companies and society.

Penerapan Akuntansi Lingkungan Dalam Mendukung Keberlanjutan Perusahaan

Abstrak. The implementation of environmental accounting is a strategic step in supporting corporate sustainability. Environmental accounting aims to identify, measure, and report financial and non-financial information related to the environmental impacts of a company's activities. This study explores the importance of adopting environmental accounting as part of a corporate sustainability strategy to address global challenges such as climate change and increasing public awareness of environmental issues. The research method includes literature analysis and case studies of companies that have implemented environmental accounting. The findings reveal that environmental accounting enhances resource efficiency, reduces negative environmental impacts, and fosters a positive corporate image among stakeholders. Therefore, environmental accounting serves not only as a tool to meet legal obligations but also as a strategic approach to holistically support corporate sustainability. Keywords: Environmental accounting, corporate sustainability, environmental impact, resource efficiency, sustainability strategy.

Evaluating the quality of insurance services from the client's perspective: case study of the Algerian insurance company, El Oued agency

This study aims to assess and evaluate the quality of insurance services by addressing the following research problem: How can the quality of insurance services be evaluated from the perspective of clients of the Algerian Insurance Company (CAAT), El Oued Agency? The study focused on evaluating the quality of services provided by the company under study from the viewpoint of its clients. To achieve the study's objectives, a questionnaire was distributed to a sample of 170 clients, of which 150 responses were valid. Various statistical methods were employed and analyzed using the SPSS 22.0 software to test the proposed hypotheses and derive results. The findings revealed that clients' evaluation of insurance service quality varies across different dimensions and that there is a positive correlation between service quality and customer satisfaction. Additionally, service quality significantly impacts customer satisfaction.

Data Science Process in Furniture Industry: A Case Study

Data science has become increasingly relevant in the furniture industry to help companies overcome challenges such as the scarcity of raw materials and fierce competition in the globalized market. In addition, data analysis can also help companies better understand their customer profile and identify market trends. It can be applied to several management problems, such as sales analysis, cus- tomer behavior and targeted advertising. However, although Enterprise Resources Planning systems integrate knowledge and provide reporting tools for users to analyze data, supporting decision-making is not their primary purpose. This work presents a Data Science Trajectory (DST) model applied to commercial transac- tions in a case study of a real company in the furniture segment. It is intended to serve as a reference for data analysts who wish to incorporate this proce- dure into business routines based on commercial data. From the modeling of the DST implemented with machine learning techniques, we present differentiated results related to the discovery/understanding of the problems and proposition of interventions.

Comprehensive Analysis of Capital Asset Pricing Model and Arbitrage Pricing Theory in Stock Investment Decision Making

The increasingly advanced development of technology and the phenomenon of the Covid-19 outbreak, which has caused most employees to be affected by Work From Home, has led most people, especially the millennial generation or people under the age of 30, to be interested in allocating their excess funds into stock investments. This study aims to analyze the development of a multi-factor CAPM model by including volatility as an additional factor: a new approach in asset pricing with a case study of companies listed on the Indonesia Stock Exchange included in the LQ45 Index for the 2020-2023 period. The independent variables used in this study are Risk Premium (Beta), Company Size (SMB), book-to-market ratio (HML), and Stock Price Volatility. In contrast, the dependent variable used in this study is proxied by Stock Return with Excess Return. The population in this study consists of 45 companies. The sampling method uses a Purposive Sampling Technique. The analysis method used in this study is Multiple Linear Regression. The result of the study shows that the Risk Premium and Company Size variables partially have a significant positive effect on Stock Returns. The Book to Market Ratio variable partially has a negative but not significant impact on Stock Returns. Meanwhile, the Stock Price Volatility variable has a positive but insignificant effect on Stock Returns. The independent variables in this study can explain 88,61% of the factors affecting Stock Returns, while 11,39% is explained by other factors not researched in this study.

Research on Measurement of Manufacturing Industry Chain Resilience Based on Index Contribution Model Driven by Digital Economy

Abstract In the world of modern industry, which is constantly evolving, the manufacturing sector is intricately connected to the revolutionary currents of the digital economy. Considering the on-going digital revolutions, this study aims to evaluate the robustness of supply chains in the industrial sector. This result was reached by conducting in-depth interviews and analyzing the resilience performance of business systems in the manufacturing industry. The findings indicated that redundancy is the most significant component of resilience. The major purpose is to ascertain how these chains can hold up amid constantly shifting digital dynamics. Utilizing an innovative index contribution technique, our approach uniquely measures the manufacturing sector’s resilience in the ever-changing digital economy. An index contribution model driven by digital economy measurements is included in this case study, focusing primarily on a particular manufacturing company. This research aims to build a comprehensive framework for measuring the resilience of industrial chains. Identifying important indications of resilience, particularly for the case study company, is the first phase of the technique. These indicators include the robustness of the digital infrastructure, the supply chain’s flexibility, and the technology’s adaptation. During the research, the strengths and weaknesses of the manufacturing industry chains are investigated, which leads to the discovery of nuanced insights. Stakeholders can utilize the one-of-a-kind model’s actionable insights to navigate and enhance their resilience in the constantly shifting industrial sector. Considering the dynamic nature of the manufacturing industry, it is of the utmost importance to adopt preventative measures to guarantee the firm’s ongoing development and adaptability. By providing a fresh analytical framework, this study contributes to a better understanding of the complexities of contemporary industrial resilience.