Case Study Of Company Research Articles

Beyond Command and Control: Empowering Leaders Build Capability and Drive Innovation

This article explores how leaders can empower employees to drive innovation, build capability, and achieve greater organizational success. It examines the research on effective leadership approaches that consistently outperform "command and control" styles. Specifically, the author argues leadership is not about exerting top-down control but rather developing talent from within, granting autonomous work to teams, and fostering psychological safety. The article reviews case studies of companies that instituted empowering practices like radical promotions from within, autonomous project teams, and removing rank from creative meetings. It then discusses how empowering leaders act as coaches to develop strengths while advocating for employees. Finally, the article provides practical recommendations for implementing empowerment principles, including starting with pilot programs, communicating philosophy clearly, and shifting incentives away from micromanagement toward creative problem-solving. Overall, the research presented makes the case that empowering others through capability-building, autonomy, and safety represents the hallmark of truly transformational leadership that drives engagement and competitive advantage.

A model for assessing the economic impact of renewable energy adoption in traditional oil and gas companies

The adoption of renewable energy presents significant economic implications for traditional oil and gas companies. This paper proposes a model for assessing the economic impact of integrating renewable energy into traditional oil and gas operations, focusing on cost efficiency, revenue potential, and overall financial performance. The model evaluates key metrics, including capital investment, operational cost savings, revenue generation from renewable energy projects, and potential impacts on profitability and shareholder value. By incorporating various renewable technologies such as solar, wind, and geothermal, the model provides a comprehensive framework for understanding the financial benefits and challenges associated with transitioning to cleaner energy sources. The model incorporates both direct and indirect economic impacts, such as reduced energy costs, enhanced energy security, and improved corporate reputation. It also considers the effects of regulatory incentives, including tax credits and subsidies, which can influence the financial viability of renewable energy projects. Additionally, the model examines potential risks and uncertainties, such as market volatility and technological limitations, which can affect the economic outcomes of renewable energy investments. Case studies of traditional oil and gas companies that have successfully integrated renewable energy are analyzed to illustrate the practical application of the model. These case studies demonstrate how companies have achieved cost reductions, diversified revenue streams, and enhanced their long-term financial resilience through renewable energy adoption. The paper concludes that while the initial investment in renewable energy technologies can be substantial, the long-term economic benefits—including cost savings, revenue growth, and alignment with sustainability goals—can significantly outweigh the challenges. By adopting the proposed model, oil and gas companies can better assess the economic implications of renewable energy integration and make informed decisions to drive sustainable growth and profitability.

Applying Pattern Language to Enhance IIoT System Design and Integration: From Theory to Practice

The Industrial Internet of Things (IIoT) is pivotal in advancing industrial automation, offering significant improvements in connectivity and efficiency. However, the integration of heterogeneous devices within IIoT systems presents substantial challenges, primarily due to the diversity in device hardware, protocols, and functionalities. In this paper, we propose a new pattern language specifically designed to enhance interoperability and operational efficiency across industrial settings. Drawing from a case study of the State Company for Automotive Industry (S.C.A.I.) in Iraq, this study details the development and integration of eleven interrelated patterns. These patterns were carefully combined based on identified relationships, forming a comprehensive pattern language that addresses key aspects of system heterogeneity, including device communication, data security, and system scalability. The pattern language was validated using the Delphi process theory, engaging industry experts to refine and optimize the framework for practical application. The implementation of this pattern language led to significant improvements in system integration, enabling seamless communication between diverse devices and enhancing operational workflows. The case study demonstrates the practical viability of the proposed pattern language in enhancing interoperability within real-world Industrial Internet of Things (IIoT) applications. Furthermore, the replicable nature of this framework makes it a valuable resource for other industrial environments seeking to harness the power of IIoT technologies.

Empirical Evidence on Corporate Social Responsibility A Case Study of Chinese Companies in Pakistan

This paper investigated the state of corporate social responsibility (CSR) practices among Chinese companies operating in Pakistan. Findings reveal that while most Chinese firms have dedicated CSR programs, the strategic focus and long-term developmental impacts vary; enhancing corporate reputation rather than creating ethical value or empowering local communities was the dominant motivation. Key CSR activity areas include education, healthcare, and environmental initiatives, aligned with local socioeconomic needs. Although positive impacts are acknowledged, local stakeholders perceive CSR effects to be limited lacking strategic direction; challenges around political sensitivities, security risks, and coordination issues were highlighted. The paper advocates for a more strategic, participatory and sustainable CSR approach focused on long-term capacity building. Guidance frameworks attuned to local contexts can enable companies to balance business goals with lasting social value.

Integrating Robotics for Enhanced Business Operations

This research study delves into the strategic incorporation of robotics into global business operations, stressing the interaction between technological progress and geopolitical and economic factors. Through an analysis of historical events such as the Cold War, the rise of China, and the 2008 Financial Crisis, the study identifies trends that impact the development and spread of robotics technology. It also includes case studies of companies like Foxconn and Siemens, which shed light on the practical challenges and opportunities faced in different geopolitical and economic contexts. The findings emphasize the importance of geopolitical stability, regional dynamics, and workforce upskilling in the successful deployment of robotics. This research offers a comprehensive framework for businesses to navigate the complexities of international trade, geopolitical risks, and the changing robotics landscape, ultimately leading to improved operational efficiency and sustainable growth in a globalized market.

Digital Marketing Strategies in Building Brand Awareness and Loyalty in the Online Era

In today’s digital era, businesses are increasingly adopting digital marketing strategies to enhance brand awareness and foster customer loyalty. As online interactions grow, companies must adapt their marketing efforts to stay compet- itive and engage effectively with consumers. This research employs a mixed- method approach, using both qualitative and quantitative data from case studies of successful companies that have implemented digital marketing strategies. The study examines the role of social media, content marketing, and personalized communication in building brand awareness and loyalty. The study provides new insights into how personalized marketing efforts, including targeted cam- paigns and relevant content, help brands differentiate themselves in a crowded online marketplace. The findings show that consistent use of social media, en- gaging content, and personalization significantly boost brand awareness and fos- ter long-term customer loyalty. Personalization, in particular, strengthens cus- tomer relationships, leading to repeat purchases and advocacy. In conclusion, successful digital marketing requires an in-depth understanding of online con- sumer behavior and the application of tailored strategies. The effective inte- gration of social media, content marketing, and personalized messages enables businesses to build lasting customer relationships and gain a competitive edge in the digital marketplace

Exploring barriers and strategic approaches in smart factory adoption: a real-world case study in a German manufacturing company

Exploring barriers and strategic approaches in smart factory adoption: a real-world case study in a German manufacturing company

Decomposing maintenance actions into sub-tasks using natural language processing: A case study in an Italian automotive company

Industry 4.0 has led to a huge increase in data coming from machine maintenance. At the same time, advances in Natural Language Processing (NLP) and Large Language Models provide new ways to analyse this data. In our research, we use NLP to analyse maintenance work orders, and specifically the descriptions of failures and the corresponding repair actions. Many NLP studies have focused on failure descriptions for categorising them, extracting specific information about failure, or supporting failure analysis methodologies (such as FMEA). Whereas, the analysis of repair actions and its relationship with failure remains underexplored. Addressing this gap, our study makes three significant contributions. Firstly, we focused on the Italian language, which presents additional challenges due to the dominance of NLP systems that are mainly designed for English. Secondly, it proposes a method for automatically subdividing a repair action into a set of sub-tasks. Lastly, it introduces an approach that employs association rule mining to recommend sub-tasks to maintainers when addressing failures. We tested our approach with a case study from an automotive company in Italy. The case study provides insights into the current barriers faced by NLP applications in maintenance, offering a glimpse into the future opportunities for smart maintenance systems.

Application of Lean Startup Principles in the Improvement of Digital Platforms: a Case Study in a Solar Energy Company

Objective: The objective of this study is to improve a solar energy company's website by utilizing the principles of the Lean Startup methodology to meet customer expectations. Theoretical Framework: This study is based on the concepts of digital entrepreneurship and the Lean Startup methodology, emphasizing the importance of adapting to the digital environment and applying agile methodologies for technological innovation. Method: The research adopted a case study with a qualitative and descriptive approach. Data collection was carried out through semi-structured interviews with customers and potential customers, as well as prototyping to validate the hypotheses raised. Results and Discussion: The results revealed that the main improvement needs include adding information about the company, adjusting visual elements, and incorporating interactive tools. The application of Lean Startup principles allowed for rapid iterations on the improvements, resulting in an increased perception of the website's credibility and usability by users. Research Implications: This research provides practical insights into the implementation of agile methodologies for the enhancement of digital products, highlighting the importance of continuous validation with users to achieve satisfactory results. Originality/Value: This study contributes to the literature by demonstrating the applicability of the Lean Startup methodology in a real context of digital product improvement, offering a replicable model for other companies seeking continuous innovation and customer satisfaction.

The Role of Actor- Network Theory in the Effective Implementation of Activity- Based Costing: Case Study in Construction Company

The Role of Actor- Network Theory in the Effective Implementation of Activity- Based Costing: Case Study in Construction Company

Predictive Effect of AI on Leadership: Insights From Public Case Studies on Organizational Dynamics

The increasing integration of Artificial Intelligence (AI) in organizational leadership is transforming traditional leadership practices and dynamics. This analysis investigates the potential long-term effects of AI on leadership, focusing on how AI improves decision-making, automates repetitive tasks, and enhances employee engagement. Drawing on in-depth case studies of major companies like IBM, Google, and Amazon, this paper demonstrates the successes and challenges of incorporating AI into leadership roles. It also explores emerging AI-driven leadership skills and highlights potential future leadership frameworks that may develop as AI technologies progress, offering an optimistic view of leadership in the future. While this analysis provides valuable qualitative insights, it recognizes the need for additional empirical data to support its claims, including AI adoption rates and metrics for evaluating leadership effectiveness. Incorporating predictive models could also enhance our understanding of AI's lasting impact on leadership. The paper is a valuable resource for organizations and leaders navigating the evolving landscape of AI-augmented leadership.

Effective stakeholder governance in circular economy: Insights from Italian companies

Notwithstanding a growing scholarly interest in stakeholder governance, the issue of how stakeholder governance can motivate a firm's stakeholders to cooperate to the transition to circular economy (CE) is still underdeveloped. This study intends to contribute to advance knowledge in this field by investigating the comparative effectiveness of three stakeholder governance forms – hub-and-spoke, lead role, and shared governance – to motivate stakeholders of a focal company (FC) to cooperate to the development and implementation of circular business models.Drawing on three case studies of Italian companies engaged in the transition to CE, we propose a contingent model of CE stakeholder governance. We found that the most effective stakeholder governance form at FC level depends on CE boundaries, the attitude of market forces to incentivise stakeholder cooperation to the CE, and the owners’ identity of the FC. We also found that a FC can adopt different stakeholder governance forms for the diverse CE-enhancing projects it has undertaken, appropriately tailoring the governance arrangements to the nature of activities of each project and to the value, uniqueness, and complementarities of the resources held by the stakeholders involved.This papers makes both theoretical and practical contributions. From a theoretical point of view, it advances knowledge at the intersection of stakeholder theory and governance of the CE in two main ways: first, by pointing out that the transition to the CE requires a shift from a perspective of a company responsibility to its stakeholders to that of stakeholders’ responsibility to a company, a supply chain or a local community they belong to. Second, by proposing some conditions under which shared forms of stakeholder governance are likely to foster this transition. From a pratical perspective, this paper suggests how stakeholder governance can be a tool to achieve CE targets at local community, industry, supply chain or individual firm level.

Analisis Pemberian Kompensasi yang Berdampak Terhadap Turnover Intention pada Karyawan Bagian Produksi, Studi Kasus pada Sebuah Perusahaan Garmen di Kota Bandung

This study aims to find out the impact of compensation on turnover intention on employees of the production department, a case study of a garment company in Bandung City. The research uses methods of qualitative analysis and data collection methods with interviews, documentation and library research. This research population is the whole of employees associated with a garment company in the city of Bandung. The validity and reliability tests in this study use triangulation. There are three processes of data analysis techniques: data reduction, data presentation, conclusion and verification. The result of this study is that the analysis of compensation is a factor causing turnover intention. It can be said that compensation to employees of the production part of a garment company in Bandung City is in the bad category. Results have been obtained which indicate that the employee's current compensation is not sufficient to meet employee needs. This is because of the company's lack of attention in giving a fair and decent salary to every employee. Besides that the turnover intention on employees of the production part of a garment company in Bandung City is in the high category. The result was that as much as 70% (7 employees) had a desire to leave the company to get a better job. To conclude, the company has violated a number of state rules relating to fair pay rules that violate the Regulations of the Minister of Employment of the Republic of Indonesia No. 18 Year 2022 Article 2 Paragraph (1), and violates the accuracy of pay timing of section 61 of the Government Regulations (PP) No. 36 Year 2021 On Employment.

Financial Analysis of China's New Energy Vehicle Industry under the Harvard Analytical Framework: A Case Study of BYD Company Limited and NIO Inc.

As the climate conditions continue to deteriorate, countries around the world are joining the ranks of energy conservation and emission reduction, bringing more energy-saving and environmentally friendly new energy products into the public eye. Enterprises represented by new energy vehicles have thus received considerable attention. This paper is based on the Harvard Analysis Framework and focuses on BYD Company Limited (hereafter referred to as BYD) and NIO Inc. (hereafter referred to as NIO) as research subjects. It delves into the new energy industry from four dimensions: strategy, accounting, finance, and development, in the context of the broader environment. The analysis reveals similarities and differences in some key financial indicators between the two companies, explains the reasons behind these differences, summarizes the current industry situation, and forecasts future development prospects. By comprehensively applying the Harvard Analysis Framework, the article not only understands the financial performance of BYD and NIO but also provides a reliable basis for decision-making for investors and governments. Through this analysis, the paper aims to support the sustainable development of the new energy vehicle industry, further promoting its healthy growth.

Changing Triangular Relationships: A Historical Analysis of Labour Relations at a Chinese Mine in Papua New Guinea

This paper contributes to the literature on the expansion of Chinese multinational corporations (CMCs) in Papua New Guinea (PNG) by comparing the operation of a Chinese mine to that of the German New Guinea Company. I start by looking at the two economic positions (helper and merchant) performed by early Chinese immigrants to New Guinea during the colonial era and the host hostility they encountered. 1 Then, a case study of a Chinese mining company in postcolonial PNG illustrates how local employees learned to negotiate with Chinese management through unionization instead of striking. In the meantime, Chinese personnel became subject to PNG industrial regulations based on Australian standards rather than operating as a modernizing agent to educate local workers. 2 These findings suggest that, despite specific new Chinese communities becoming investors, they must dedicate resources towards comprehending local customs and legislation, given the enhanced agency of local actors.

Effect of Transfer Pricing, Capital Intensity and Audit Committee on Tax Avoidance

This research was conducted with the aim of providing empirical evidence of Transfer Pricing, Capital Intensity and Audit Committees on Tax Avoidance (Case Study of Energy Sector Mining Companies Listed on the Indonesia Stock Exchange for the 2021-2022 Period). The sample selection technique was carried out using the porpusive sampling method. The total population in this study was 82 companies with a sample size of 31 companies that met the sample criteria. Data collection in this research uses secondary data obtained from the annual financial reports of companies operating in the mining industry, energy sub-sector which are listed on the Indonesia Stock Exchange for the 2021-2022 period. This research method uses a quantitative method with data testing used using SPSS version 26. The data analysis used is descriptive statistical analysis. The results of this research show that transfer pricing, capital intensity, and audit committees have a positive and significant influence on tax avoidance, such as which was tested using t test analysis and F test.

The Effect of Good Corporate Governance and Capital Structure on Firm Value with Financial Performance as an Intervening Variabel

With financial performance serving as an intervening variable case study of retail companies listed on the Indonesia Stock Exchange in 2019–2022, the goal of this research is to ascertain the impact of sound corporate governance and capital structure on firm value. There were forty-two retail companies in the study's population. Of the 42 companies that used the purposive sampling approach for sample withdrawals, 29 of them satisfied the sample requirements. Secondary data was obtained by obtaining the annual report of the firm via the website of the Indonesia Stock Exchange or the company itself, together with the documentation data gathering process. Using SmartPLS software, the partial least square (PLS) analysis of structural equation modeling, which is component- or variance-based, is combined with descriptive analysis to analyze the data. The findings demonstrated that capital structure and sound corporate governance both have an impact on a company's value. Financial performance is not able to mediate the relationship between excellent corporate governance and capital structure on company value, but neither do good corporate governance nor capital structure have any effect on financial performance.

ESG score calculation procedure: A case-study of ALROSA company with state participation

ESG score calculation procedure: A case-study of ALROSA company with state participation

Quantitative Assessment of Market Conditions and Marketing Strategies in the Financial Products Sector: A Case Study of XX Insurance Company, Beijing

The financial products sector in China has undergone significant transformation, driven by economic reforms, technological advancements, and evolving consumer preferences. This study provides a quantitative assessment of market conditions and marketing strategies within this sector, with a specific focus on XX Insurance Company, Beijing. Utilizing a cross-sectional survey of 200 respondents in Beijing, the research examines key factors influencing market dynamics, evaluates the effectiveness of XX Insurance Company’s marketing strategies, and identifies the main drivers of consumer behavior. The findings reveal a generally favorable market environment, with economic growth, regulatory changes, and competitive dynamics as primary influencers. Notably, product features, competitive pricing, strong brand reputation, and excellent customer service emerged as significant factors affecting consumer decisions. The study highlights the importance of digital presence, customer service, and innovative product offerings in enhancing marketing effectiveness. Based on the insights gained, several recommendations are proposed to optimize the company’s marketing strategies and improve its market positioning. This research contributes valuable knowledge to both the academic community and industry practitioners, offering practical guidance for navigating the competitive landscape of China's insurance market.

The application of lean six sigma to improve mining transportation overall vehicle effectiveness (MTOVE): a case study in mining company

Purpose The purpose of this paper is to present a case study the application of lean six sigma combined with mining transportation overall vehicle effectiveness (MTOVE) to improve mining transportation performance. MTOVE is a newly developed model to measure the overall effectiveness of mining transportation. Design/methodology/approach The method used is case study combines the MTOVE and LSS methodologies. Data were collected from the hauling operation during a three-month period. Various lean six-sigma tools, such as the Pareto chart, ANOVA, two sample t-tests, one sample t-test, cause-and-effect analysis and time study, have been used. Findings The case study resulted in improvement of vehicle overall effectiveness; a 35% increase in MTOVE value, a 17% improvement in productivity and a 9% increment in truck utilization. Statistical tests confirmed the significance of reducing the mean and variation in the hauling process cycle time, which led to productivity improvement. Research limitations/implications This study provides practitioners with additional quantitative evidence of the potential benefits of LSS methods in the coal mining industry. Practical implications This paper practically and unquestionably has contributed to the LSS body of knowledge focused on the mining sector, which is recently still far behind the manufacturing sector. The study has demonstrated that some challenges in the mining environment can be solved through the effective implementation of LSS tools. Hence, this paper could be used as a reference for both researchers and practitioners. Social implications The study contributes in the field of LSS spread in mining industries using a case study. This study shows practical evidence of improving overall vehicle effectiveness using LSS. Practitioners can refer to this study to understand the benefits of LSS in mining sector. Since the mining industry should also adopt the LSS principle into the mining business process due to its ability to improve business performance (Valente et al., 2020; Tupamahu et al., 2019; Zanon et al., 2021). Originality/value There has been little scientific study of the LSS implementation in the mining industry. This research provides detailed evidence of LSS implementation in the mining sector. The main contribution is the implementation framework, which shows the combination of newly developed indicators (MTOVE and LSS) to enhance hauling operation effectiveness. This paper demonstrates how LSS tools and methods can be applied in the mining transportation industry.