Industrial Management Research Articles

Yield management for the cinema industry

Yield management for the cinema industry

Why are women underrepresented in senior management? A study in the Turkish hospitality industry

This study aims to establish the causes for underrepresentation of women in senior management positions in the hospitality industry in Turkey using role congruity theory. The study used the qualitative research method and included semi-structured interviews conducted with 20 women who are managers in the hospitality industry. The study identifies organizational, social, and individual factors that prevent women from rising to senior management positions. This study is crucial to demonstrate how the perceived incongruity between female gender roles and leadership roles hinders the representation of women in senior management. Further, the present study contributes to the literature and benefits hospitality professionals by revealing the challenges that women encounter in their journey to reach senior manager positions.

Research on Talent Management Model in Internet Industry -- Taking Baidu as an Example

With the rapid development of the Internet industry, talent recruitment and training has become a key factor in enterprise competition. This paper takes Baidu as an example to discuss its talent management model in the Internet industry. Through case analysis and comparative research, it reveals Baidu's strategies and outcomes in talent recruitment and training. The findings reveal that Baidu has successfully attracted and retained many outstanding talents through measures such as multi-channel recruitment, internal training, and career development plans. However, challenges remain, such as the need to strengthen the cultivation of emerging technology talents. The research provides theoretical guidance for talent management in the Internet industry and addresses the research gap in related fields.

Accelerating Benders Decomposition for sustainable food closed-loop supply chain network under uncertainty: a case study

PurposeThe purpose of this study was to address waste management in the food supply chain (FSC) through the integration of inspection processes in production and distribution centers under uncertain conditions, aiming to enhance sustainability across environmental, economic and social dimensions. The study introduces a sustainable forward and reverse FSC network using a closed-loop supply chain network approach to prevent the transfer of spoiled products, ultimately providing competitive advantages to stakeholders.Design/methodology/approachA robust multi-objective mathematical programming model is proposed, incorporating inspection processes to manage perishable products effectively. The model is solved using the Augmented Epsilon Constraint technique implemented in GAMS software, providing Pareto-optimal solutions tailored to decision-makers’ preferences. Furthermore, the methodology is applied in a real-world case study and solved with the Benders Decomposition algorithm to validate its practicality and effectiveness.FindingsThe proposed methodology effectively minimizes waste and enhances sustainability in the FSC by optimizing decision-making processes under uncertainty. The illustrative examples and real case study demonstrate the efficiency of the model and solution approach, highlighting the significant role of inspection in improving all three dimensions of sustainability.Practical implicationsThe study offers valuable insights into and tools for food industry managers to make informed strategic and tactical decisions. By addressing waste management through advanced supply chain modeling, the research helps organizations reduce costs, improve sustainability and gain a competitive edge in the market.Originality/valueThis research is novel in its focus on integrating inspection into the FSC network and addressing uncertainty through robust mathematical modeling. It contributes to the existing literature by demonstrating the impact of inspection on sustainability in FSCs and providing practical solutions for real-world implementation.

Modern soccer industry management and current challenges: systematic literature review

Introduction: Soccer is known as the "global game" because it is very popular in many parts of the world. Numerous studies have been conducted in different parts, segments, and levels of the soccer industry. However, the findings are inconclusive, unidirectional, and contradictory. Objective: to analyze contemporary soccer industry management practices, challenges, and future perspectives in the football industry. Methodology: A systematic literature review was used. 540 articles were initially recorded from Google Scholar, SCOPUS, and JSTOR databases. Through inclusion and exclusion criteria, 83 published materials that met the inclusion criteria were thematically analyzed. Results: The findings reveal that a global outlook with fidelity to local roots, changing commercial partnerships, a changing media landscape, cultural aspects in the football playground, and game attractiveness are major patterns identified in globalization and its development. In particular, specific rules and regulations, the nature of competition, ownership, leadership, and governance are also current variants in the management of soccer Discussion: Therefore, these are crucial ingredients for understanding the future dynamics of global soccer and represent challenges and dilemmas for the industry. Conclusions: As a result, a massive or single research study on the current practices, issues, and possibilities of the modern soccer industry at the local, sub-regional, continental, and international levels is feasible.

Giving a little to many or a lot to a few? Examining the role of firms’ strategy and capital in industrial era 4.0

Purpose This study aims to advance and analyze the influence that firms’ diversification approach brings to the businesses’ performance via competitive advantage (CA) and access to capital in a developing economy. Design/methodology/approach Using primary mode, the present study uses the sample of 104 diversified manufacturing firms to analyze the conditional indirect effect of firms’ diversification approach on efficient resource allocation using SAS process macros. Findings This study corroborates that in the era of uncertainty (when businesses are struggling to survive), a diversification approach can help the firms to build resilience against uncertainties to achieve resource allocation efficiency. Furthermore, findings also reveal that for successful strategic implementation firm’s access to capital (tangible and intellectual capital) play a critical role. Research limitations/implications Theoretically, this study has made a sizeable contribution to the resource-based theory of a firm’s literature with a new compositional-based theoretical perspective and also by providing an insight into the relationship between strategic approaches, access to capital and resource allocation efficiency. However, the current study’s ability to provide a deep understanding of the phenomenon was restricted by the lack of data availability and a self-reporting questionnaire approach. Practical implications Potential applications of the current research exist for manufacturing industry managers and policymakers to achieve efficiency and CA. This study provides evidence of the obstacles to diversification discounts while allocating resources. At the same time, it provides a crucial connotation for maintaining distinctive tangible and intangible capital for value addition. Originality/value The current study fills out by investigating the conditional indirect effect of access to capital in industrial era 4.0. Moreover, according to researchers’ knowledge, this study is the first to establish and empirically investigate a comprehensive model that involves a strategic approach, access to tangible and intellectual capital and performance outcome obtained through the integration of all these crucial factors.

A role paradigm shift in project management: investigating the project manager competencies required by sustainable project management

PurposeAs project managers are in the central position of sustainable project management (SPM), their competencies become an important factor that affects the outcome of SPM. However, literature lacks a clear description of the project manager competence system required by SPM. The purpose of this study is to explore what competencies are required by sustainable project management and analyze the hierarchy and attributes of these competencies.Design/methodology/approachAiming to address the problem, several methods were applied in this study. First, with a literature review, semi-structured interviews and Delphi technology, 23 project manager competencies required by SPM are identified. Second, the fuzzy interpretive structural modeling–matrix impact cross-reference multiplication applied to classification (FISM–MICMAC) method is used to analyze the data from 21 experienced project managers in the construction industry, revealing the hierarchy and attributes of the project manager competency system required by SPM.FindingsThe results indicate that the project manager competency system required by SPM includes nine micro levels. According to the nature of the competencies, these nine levels can be summarized into five macro levels. Furthermore, all competencies can be divided into three categories: independent, autonomous and dependent.Originality/valueThis study not only provides project managers and scholars with a further understanding of project manager competencies but also helps contractors make informed and objective judgments in the selection and/or appointments of project managers who have the appropriate competencies for SPM.

Exploring the Role of Financial Assets in Enhancing the Performance of Nigerian Banks

The study looked at the impact of financial assets (FA) on the financial performance (FP) of Nigerian deposit money banks (DMBs) from 2013 to 2022 (10 years). The study's specific goal is to investigate the coexistence of financial asset measurements [Cash Equivalents (CE), Trade Receivables (TR), Loans and Advance (LAD), and Foreign Bank Deposit (FBD)] and [DMB FP as proxied by Return on Equity (ROE)]. The selected ten banks were picked from the pool of 18 deposit money banks listed on the Nigerian Exchange Group. They were examined through descriptive statistics, correlation analysis, and multiple regression analysis utilizing the OLS method. The findings indicated that capital equity (CE), liquidity asset density (LAD), and financial burden debt (FBD) have minimal impacts on return on equity (ROE); however, total revenue (TR) has a significant impact on ROE. Ultimately, the research revealed a strong correlation between financial assets (FA) and financial performance (FP) of deposit money banks in Nigeria. It is recommended that managers in the banking industry boost their allocation of cash holdings through cash planning (estimated forecast of cash position in the future) in order to maintain an optimal cash position level and improve their FP. Furthermore, treasurers must plan to invest idle capital in short-term investments such as treasury bills and interbank lending, which increases profitability and reduces fund costs.

A Critical Review of the Phenomenon of Inhibiting Asphaltene Precipitation in the Petroleum Industry

This comprehensive review examines chemical and nano-based methods for asphaltene inhibition in the oil industry, focusing on recent developments and challenges. Asphaltene precipitation and deposition remain significant challenges in oil production, affecting wellbore areas, equipment walls, and surface infrastructure. The review analyzes various chemical inhibition mechanisms and evaluation methods, highlighting the emergence of nanotechnology as a promising solution. Metal oxide nanoparticles, organic nanoparticles, and inorganic nonmetal nanoparticles are discussed as effective inhibitors, with particular attention to their performance in different operational conditions, including CO2 flooding processes. The study reveals that nanoparticles’ effectiveness in asphaltene inhibition is attributed to their large specific surface area, strong adsorption capacity, and unique interaction mechanisms with asphaltene molecules. The review also emphasizes the importance of proper inhibitor selection and concentration optimization, as the effectiveness thereof varies with reservoir conditions and crude oil characteristics. Recent developments in functionalized nanoparticles and their applications in enhanced oil recovery are examined, providing insights into future directions for asphaltene management in the petroleum industry.

Risk Assessment in Mass Housing Projects Using the Integrated Method of Fuzzy Shannon Entropy and Fuzzy EDAS

Mass building projects play a key role in the economic prosperity of any country. Furthermore, these projects are among the main drivers of environmental and social problems. In recent years, with the spread of the concept of sustainable development in the life cycle of construction projects and the dynamic and eventful nature of these projects, the issue of risk management in the sustainable construction industry has received more and more attention among researchers. The construction industry, like other industries, faces various risks. Therefore, it is crucial to identify and evaluate risks in mass construction projects due to the high volume of work. In this study, an integrated model based on fuzzy Shannon entropy and fuzzy EDAS is proposed for risk assessment in large-scale building projects. Initially, by reviewing related articles, 66 effective sub-indicators are identified and classified into 18 risk categories, including 6 external risks and 12 internal risks. Subsequently, a questionnaire is designed to assess the three factors of detection, probability of occurrence, and severity risks for each risk index. This questionnaire distributes to 15 mass production companies in the construction field in Isfahan. The fuzzy Shannon entropy method is then applied to determine the weight of risk factors. The weights of each factor, detection, probability of occurrence, and severity, are calculated as 0.386, 0.342, and 0.273, respectively. These weights are used in the fuzzy EDAS method to prioritize the identified risks in mass-building projects. The results of the fuzzy EDAS method determined the three most critical risks: “inflation rate volatility”, “import/export restrictions”, and “unforeseen climatic conditions”. Additionally, three low-risk sub-indicators are obtained: “limitation on working hours”, “collapse of the structure”, and “unpredictable fire”.

Optimizing Public Services through Industrial Work Practice Management Applications Using Extreme Programming Methods

Industrial work practice or industrial Internship is applying knowledge and skills to solve real problems. It becomes one of the efforts to improve the quality of human resources in an agency or company. Managing the industrial Internship at PT Artha Abadi is still being carried out using physical documents. This allows errors to occur in recording Industrial Internship data and documents. This study aimed to overcome existing problems so that the management of Industrial Internship activities at PT Artha Abadi is more systematic, organized and efficient. The method used in creating this system is the Extreme Programming method which aims to increase effectiveness and efficiency in the software development process. The Industrial Internship Management Application is built using the Laravel framework and MySQL as its database. The tools used to create this system are XAMPP as a database server and Visual Studio Code for a text editor, in system testing using Black Box Testing to test the software's functionality. Testing shows that the Industrial Internship Management Application does not experience system errors or bugs. The results of this study show that the application is built according to the main objectives and is ready to be implemented so that the Industrial Internship at PT Artha Abadi runs more systematically, organized, and efficiently.

Trends and Drivers of Greenhouse Gas Emissions in India: A Decadal Analysis (2010-2020)

This paper analyses trends and determinants of greenhouse gas (GHG) emissions in India in 2010-2020, the decade with some of the fastest economic growth rates and the increased awareness of environmental issues. The research pays attention to India, the world's third-largest emitter of GHG, which will be analysed regarding emissions in four sectors: energy, industry, agriculture, and waste management. A time series analysis of data drawn from national and international agencies, such as the World Bank and India's Ministry of Environment, Forestry, and Climate Change, was applied in this study. Statistical analysis and data visualisation were performed using the R software. The key findings show an increase of 42% in the total emissions of GHG over the last decade, with the energy sector dominating at 68% in 2020. Other significant contributors were industry (20%), agriculture (9%), and waste (3%). Growth in population, along with accompanying urbanisation and industrial expansion, is cited as the main factor responsible for emission rise. However, there are also indications of decoupling between growth in the economy and emissions intensity. The study analyzes the greenhouse gas emission trends for major emitters between 2010 and 2020, in India. The dynamic panel data model analyses indicate signs of decoupling of emissions from economic growth in developed economies and the role of renewable energy and carbon pricing. Research findings further indicate that stronger climate policy and investment in clean energy is the necessity to decrease global emissions.The paper identifies policy issues that require strong activity in enforcing efficiency measures, fastening the shift toward krenewable sources of energy, and effective sustainable planning and waste management practices in urbanisation processes. In that respect, examination of policies like the PAT scheme and promotion of electric vehicles has shown where more aggressive implementation may be seen as necessary to ensure India's climate commitments. This elaborate decadal review finds most of its utility within the framework of policy designing for sustainable development and climate change mitigation by policymakers and stakeholders in the Indian scenario.

Key Problems and Strategies for Greenhouse Gas Reduction in China's Wastewater Treatment Industry

The wastewater treatment industry is an energy-intensive industry and one of the main sources of high warming potential greenhouse gases （GHG） such as CH4 and N2O. The GHG reduction in this industry is an important part of achieving global climate goals. In 2019, there were 4 359 urban wastewater treatment plants in China, with a total wastewater treatment volume of 63.26 billion m3, ranking first in scale worldwide. From 2009 to 2019, the energy consumption, GHG emissions, and GHG emissions intensity of wastewater treatment in China increased by 161.78%, 193.55%, and 41.54%, respectively. Faced with the new situation, new tasks, and new requirements of the collaborative promotion of carbon reduction, pollution reduction, green expansion, and growth, water pollutant reduction needs to be coordinated with GHG reduction. To this end, the sources and trends of energy consumption and GHG emissions in the wastewater treatment industry were identified, and the situation and challenges to GHG reduction in this industry were analyzed. The results indicated that the wastewater treatment industry in China has been facing problems such as a lack of carbon emission-related standards, insufficient energy self-sufficient technology reserves, lack of coordination between wastewater treatment levels and carbon emissions control, and inadequate infrastructure and operation and maintenance management. Based on this, it is necessary to accelerate the top-level design of GHG reduction in the wastewater treatment industry； strengthen the research and development, verification, demonstration, and integrated application of disruptive technologies； expand the natural-based solution as a technological supplement； innovate refined management in the wastewater treatment industry； and ultimately promote the reconstruction of the wastewater treatment industry.

In-Depth Analysis of Investment Companies: Industry Dynamics, Management Mechanisms and Strategic Adjustments

As the global economy continues to evolve, investment firms are facing unprecedented challenges in adapting to market volatility, optimizing asset allocation, and responding to policy guidance. The purpose of this paper is to explore how investment companies can respond to industry dynamics through strategic adjustment and strengthen management and analytical methods. Through an in-depth analysis of the investment case of Wal-Mart Investment Bank, the core functions of state-owned capital investment companies in serving the national strategy, optimizing the layout of state-owned capital and enhancing industrial competitiveness are discussed. Through an in-depth analysis of the organizational structure, governance structure and business choices of state-owned capital investment companies, this paper also proposes the risks and challenges that investment companies will face in the new era, as well as how to make decisions and control mechanisms. Finally, this paper aims to make effective suggestions and solutions for how to adjust the investment strategies of various multinational companies in the future development.

Dampak pergeseran sosial pasca – Industrialisasi

This journal explores the impact of industrialization on the social structure and local culture in Jayamukti Village, Cikarang. Utilizing qualitative methods, including interviews, observations, and focus group discussions, the research reveals that industrialization has transformed the community's livelihoods from traditional agriculture to industrial employment. This shift has led to a significant population increase, from approximately 230,000-250,000 before 1990 to around 550,000 in 2023. The emergence of a new social class has created notable disparities between long-term residents, primarily traditional farmers and small business owners, and new migrants working in the industry. While some residents perceive enhanced economic opportunities, others feel that industrialization has not substantially benefited local income. Environmental issues related to inadequate industrial waste management have also been identified, negatively affecting local water sources. The journal recommends skill enhancement programs through training and government support for cultural preservation and social activities to bridge existing social gaps. These findings highlight the challenges and opportunities faced by the community in adapting to the changes brought about by industrialization

Analysing the drivers for implementing smart supply chain management in Indian industries by using the analytic hierarchy process

Analysing the drivers for implementing smart supply chain management in Indian industries by using the analytic hierarchy process

Procedural knowledge management in Industry 5.0: Challenges and opportunities for knowledge graphs

Procedural knowledge management in Industry 5.0: Challenges and opportunities for knowledge graphs

The role of sustainability and quality on the relationship between management practices and risks management in construction industry

The role of sustainability and quality on the relationship between management practices and risks management in construction industry

Optimizing photoperiods for enhanced microalgae-based phycoremediation of food wastewater in Malaysia

Food processing wastewater poses significant environmental challenges due to high pollutant levels, necessitating effective treatment methods. While Chlorella vulgaris has shown promise in wastewater treatment, the optimal light/dark photoperiod regimes for maximizing biomass growth, nutrient removal efficiency, and COD reduction remain underexplored. This study evaluates the effects of 12H:12H light/dark and 24H light photoperiods on the performance of C.vulgaris in treating food processing wastewater. The 12H:12H photoperiod achieved 73% COD removal with a biomass yield of 0.44 g/L, while the 24H light achieved 75% COD removal with a biomass yield of 1.02 g/L. Both photoperiods fully removed ammonia by day 12. Although the 24H light period increased biomass production, it is energy-intensive, whereas the 12H:12H photoperiod is more energy-efficient but requires further evaluation. These findings highlight the importance of optimizing photoperiod regimes to enhance the efficacy of microalgae-based wastewater treatment. This research supports sustainable wastewater management in the food industry and aims to meet regulatory standards through tailored photoperiod strategies.

Leveraging business intelligence and analytics for strategic success in the hospitality industry: Insights from hotels

This research strives to offer valuable insights into business intelligence and analytics utilization. Besides, its expansion encompasses essential success factors for business intelligence and strategic management in the hospitality industry. The study's sample comprises 387 hotel managers from the Jordanian hospitality industry. Data collected to support the research goal was examined using multiple regression analysis through SPSS, with the assistance of PROCESS Macro v3.5. The results of this study reveal that business intelligence and analytics can serve as a bridge to connect crucial success factors for business intelligence and strategic management. These findings have implications for existing literature and stakeholders. Hotels that have integrated business intelligence and analytics acknowledge the advantages of enhancing their strategic management capabilities and decision-making processes.