Management Research Research Articles

Application of Multiple Linear Regression Models in Predicting the Value of Football Players

In this study, the key factors affecting football player value were analyzed using a multiple linear regression model. The analysis considered variables such as nationality, location, historical achievements, experience, skill level, and market value. The results indicate that a player’s competitive level significantly enhances their value, while there is a negative correlation between market value and player value. The relationship between experience and value is complex and requires further exploration. Additionally, the study examined the distribution of players from various countries in the English Premier League, with French, Spanish, and Brazilian players ranking highest in appearances. French and Spanish players are versatile across positions, while Brazilian players excel primarily as forwards. Visual analyses demonstrated the proportions and performances of players in different positions, confirming the positive correlation between competitive level and net worth and the negative correlation with market value. The intricate relationship between experience and net worth was also highlighted. These findings offer valuable insights into the determinants of football player value and provide data to support team management and future research.

Optimizing Synthesis of Anionic Surfactant‐Modified Carbon Black for Enhanced Ammonium Adsorption

The increasing levels of ammonium in wastewater pose serious environmental issues, highlighting the urgent need for effective adsorbents to facilitate its removal. Although conventional biological treatment methods have certain drawbacks, adsorption using carbonaceous materials, such as carbon black produced from waste tires, presents a promising alternative for ammonium removal. However, the use of these materials has not been thoroughly investigated. This study focuses on optimizing the synthesis of carbon black modified with anionic surfactants to improve its capacity for ammonium adsorption. Utilizing Response Surface Methodology (RSM) and a Box‐Behnken design, the optimization process examined key variables, including reaction time, surfactant concentration, carbon black dosage, and surfactant type. Comprehensive characterization of the adsorbent was conducted to analyze its surface properties, functional groups, morphology, and elemental composition. The regression models produced highly accurate results with an R2 value of 0.9437. The optimal synthesis conditions were identified as a 12.30‐hour reaction time, a surfactant concentration of 8 mmol/L of sodium dodecylbenzene sulfonate, and a carbon black dosage of 30 g, achieving an ammonium removal efficiency of 84.80%. This study offers a scalable solution for ammonium removal in wastewater, promising practical applications and future sustainable waste management research.

A Roadmap for Navigating Phenomenon-Based Research in Management

McNamara and Schleicher have identified four principal paths for contributing to the Journal of Management (JOM): theoretical insights, phenomenon-driven research, research methodologies, and review papers. This editorial focuses on phenomenon-based research, emphasizing its potential for enhancing management knowledge by offering a nuanced understanding of real-world phenomena. Unlike traditional approaches, phenomenon-based research prioritizes the complexity of phenomena over the immediate generation of theoretical contributions. Grounded in established theory, phenomenon-based research utilizes the phenomenon itself as the primary source of insight, facilitating the development of relevant organizational frameworks. We propose a multistep framework encompassing phenomenon selection, framing, data collection, and study constraints, highlighting criteria—Pertinence, Reach, Insightfulness, Magnification, and Expediency (PRIME)—to guide scholars in identifying meaningful phenomena. Additionally, we discuss constraints that may limit research, including cultural, logistical, ethical, academic, and resource-related challenges (CLEAR). By addressing these considerations, we encourage management scholars to explore diverse and impactful phenomena, ultimately aiming to position JOM as a leading platform for phenomenon-based research and its contributions to real-world organizational challenges. This editorial advocates for a balanced approach that values both theory-driven and phenomenon-driven research in advancing management scholarship.

Energy Microgrids: Exploring Technology Trends and Prospects for Efficient Energy Management

Objective: The objective of this paper is to explore technology trends and prospects for efficient energy management in microgrids by identifying and analyzing distinct research lines in this field. Method: A Scopus search was conducted using keywords such as "microgrids" and "new technologies." The gathered information was processed using Bibliometrix software to cluster the data. This analysis identified five distinct research lines related to microgrids and energy management. Results and Discussion: The analysis revealed five distinct research lines: (1) microgrids related to energy generation and storage, (2) electric power system control, (3) electric power transmission networks, (4) optimization, and (5) power markets. The paper develops and explains these research lines comprehensively, detailing technology trends and prospects for efficient energy management. Additionally, a combined analysis of relevance and development classifies the research lines as either emerging or declining and determines whether they represent basic or motor themes. Research Implications: The findings provide insights into current and future trends in microgrid technology, offering valuable information for researchers, practitioners, and policymakers. Understanding these trends can help guide future research, development, and implementation strategies for efficient energy management in microgrids. Originality/Value: This paper offers a comprehensive analysis of technology trends and prospects in microgrids, utilizing advanced bibliometric tools to identify and classify research lines. The study provides a unique perspective on the development and relevance of different aspects of microgrid technology, contributing valuable insights to the field.

Data-Driven Fresh Food Supply Chain Management and Market Competitiveness Research

Data-Driven Fresh Food Supply Chain Management and Market Competitiveness Research

How research contributions of professor Jiju Antony have influenced the field of quality management: an appraisal and critique

PurposeThe purpose of this study is to apply bibliometric techniques to critically examine the contributions of Professor (Dr) Jiju Antony in the domain of quality management research over a period close to 30 years (i.e. 1995 to 2023).Design/methodology/approachThe study incorporates a bibliometric analysis approach using VoSviewer software package to critically examine the contributions and trends in publications on Scopus indexed publications of Antony, followed by an industry wide evaluation of contributions made. Thematic analysis of the bibliographic data was imported in comma-separated values (CSV) format by selecting Antony (last name) and Jiju (first name) in the author search tab in Scopus. The search was made on September 09, 2023 and bibliographic records of 429 documents were considered for the analysis. The analysis was carried out in terms of most frequent keywords used, sources with most frequent publications, thematic analysis of most cited works and global collaborations.FindingsAntony has focused his research interest largely in the domain of quality management, publishing his research in top rated journals in the domain with a broad network of international collaborators. Antony has received 18,802 and 40,947 citations in Scopus and Google Scholar, respectively. This signifies the impact that Antony has created through his research publications. His major contributions are on the topics of six sigma, lean six sigma, continuous improvement, critical success factors and quality management practice implementations in various organizations. Diverse methodologies both qualitative and quantitative were utilized to conduct his research. However, his body of work is not without criticism. Such criticism includes the limited scope of work, with narrow focus on ISO 9001 and QMS standards, Total Quality Management (TQM). Critique also highlights the necessity for more depth, following insufficient exploration of distinctions between TQM and operational excellence (OPEX) methodologies like lean, six sigma, kaizen and agile. Antony’s work has yet to consider a diverse range of industry sectors, in terms of implementation of quality management principles, geographical location, the impact of national culture on corporate performance and explore data quality influence on decision-making. Notably, there is clear opportunity to consider the service sector in future research.Originality/valueTo best of the authors’ knowledge, there are few previous studies conducted using bibliometric analysis for analyzing the work of an individual. Therefore, the present study aims to set a trend whereby bibliometric analysis can be used to recognize and critically asses the contributions of other researchers in their respective domains.

Training transfer in MSMEs of India: examining the role of performance coaching, HRD climate and employee agility

Purpose The relatively low emphasis on training is often attributed to concerns about the uncertain return on investment in training initiatives. However, there has been limited research conducted to understand the critical success factors for training effectiveness in these enterprises. The current research aims to address this gap by examining the role of training transfer factors in enhancing training effectiveness within micro, small and medium enterprises (MSMEs) in India. Influenced by the Learning Transfer System framework proposed by Holton et al. (2007), this study aims to focus on investigating the impact of performance coaching, human resource development (HRD) climate and employee agility on training transfer in MSMEs. Design/methodology/approach Data has been collected from 411 respondents working in MSMEs of India through validated survey instruments. MSMEs have been chosen owing to the increasing contribution of the sector to the Indian gross domestic product and the lack of sufficient management research in the sector. The statistical software SPSS-AMOS has been used to create structural equational modeling for testing the hypotheses. Findings The result shows that performance coaching is the most impactful factor for training transfer, followed by HRD climate and employee agility. Practical implications The result suggests MSME practitioners activate a positive coaching environment in the organization by following the best practices in performance coaching. Further, the research suggests practitioners to realize the significance of HRD climate and employee agility. Appropriate management practices have been suggested to groom and develop HRD climate and employee agility for higher training transfer. Originality/value To the best of the authors’ knowledge, the research is first of its kind to study the impact of performance coaching, employee agility and HRD climate on training transfer in MSMEs.

Feigned Digital Incompetence as a New Managerial Challenge: A Systematic Literature Review and Future Research Agenda

Theoretical background: The “inability” to find an email, complete a form, activate a camera or microphone can not only irritate coworkers but also harm an organization. Pretending incompetence has been frequently reported in social media. However, it is predominantly discussed in the context of marital relationships. Nonetheless, a similar phenomenon has been observed in workplaces. In this paper, feigned digital incompetence construct is proposed. It is anchored in the overlap with knowledge hiding. Purpose of the article: The intent of this paper is to showcase this overlap and outline a future research agenda in the digital context. This paper contributes to the organizational behavior and human resource management literature. It introduces a new construct that is widely discussed in social media but has yet to be thoroughly investigated in management research. Research methods: A systematic literature review was conducted to ensure methodological rigor. Publications containing “feigned incompetence” and “knowledge hiding” were searched within the Web of Science and Scopus databases. These papers were further analyzed to formulate propositions for future research. Main findings: The author identified 336 relevant studies. Analysis of the predominant knowledge hiding scale depicted overlap in the “playing dumb” dimension. Recognizing this overlap, the author advocates for testing scale adaptation and presents a list of constructs, based on selected theories, to be explored in preliminary studies.

Bibliometric Analysis in Family Business Brands

Theoretical background: Family businesses are a key aspect of the Polish economy. These are businesses that remain under the control of the family or are managed by family members, often passed down from generation to generation. Their importance in Poland is particularly visible in the context of the numerous small and medium enterprises that form the core of the Polish economy. These businesses often have a rich history and heritage that can provide a solid foundation for building a strong brand. Purpose of the article: The aim of this article is to present a bibliometric analysis in the area of family business brands. This analysis will provide a better understanding of the current literature base and detect areas for further research. Research methods: The research method used was a bibliometric analysis, including citation and co-occurrence analysis of keywords using the VOSviewer programme, of articles from the Scopus international database. 58 publications from 1999 to 2023, focusing on the topic of family business brands, were selected and analysed. In order to conduct the most precise analysis, research questions such as the following were formulated: Who are the most influential authors publishing in the research field (in terms of citations) and who publishes the most? or What is a keyword network? Main findings: An increase in the number of publications on family business brands has been noticed, especially since 2018. The highest number of publications appeared in 2023. In total, publications were cited 1,456 times, with the highest number of citations (384) in 2018. The average number of citations per year was 112. The most cited article is “Concealing or revealing the family?: Corporate brand identity strategies in family firms” by Micelotta and Raynard (2011), with 173 citations. The largest number of publications comes from the category “Business, Management, and Accounting”. The most influential authors in this field are Prügl and Botero. Research emphasises the importance of integrating family values into marketing strategies and building customer trust, which can be the basis for further research and practical applications in brand management of family firms.

Empowering Fuel Cell Electric Vehicles Towards Sustainable Transportation: An Analytical Assessment, Emerging Energy Management, Key Issues, and Future Research Opportunities

Fuel cell electric vehicles (FCEVs) have received significant attention in recent times due to various advantageous features, such as high energy efficiency, zero emissions, and extended driving range. However, FCEVs have some drawbacks, including high production costs; limited hydrogen refueling infrastructure; and the complexity of converters, controllers, and method execution. To address these challenges, smart energy management involving appropriate converters, controllers, intelligent algorithms, and optimizations is essential for enhancing the effectiveness of FCEVs towards sustainable transportation. Therefore, this paper presents emerging energy management strategies for FCEVs to improve energy efficiency, system reliability, and overall performance. In this context, a comprehensive analytical assessment is conducted to examine several factors, including research trends, types of publications, citation analysis, keyword occurrences, collaborations, influential authors, and the countries conducting research in this area. Moreover, emerging energy management schemes are investigated, with a focus on intelligent algorithms, optimization techniques, and control strategies, highlighting contributions, key findings, issues, and research gaps. Furthermore, the state-of-the-art research domains of FCEVs are thoroughly discussed in order to explore various research domains, relevant outcomes, and existing challenges. Additionally, this paper addresses open issues and challenges and offers valuable future research opportunities for advancing FCEVs, emphasizing the importance of suitable algorithms, controllers, and optimization techniques to enhance their performance. The outcomes and key findings of this review will be helpful for researchers and automotive engineers in developing advanced methods, control schemes, and optimization strategies for FCEVs towards greener transportation.

Sustainability in global industrial shipping chains: a positivist perspective of international relations

Supply chain sustainability has become a critical topic in management studies. It involves reevaluating performance and logistics practices by incorporating an increasing number of stakeholders to create a more socially and environmentally responsible supply chain. However, supply chain sustainability is not solely a business concern; it is also managed by public authorities at both national and supranational levels. While most research in supply chain management is traditionally guided by theories such as stakeholder theory and resource- and capability-based views, this paper offers a discussion on supply chain sustainability from the perspective of International Relations, specifically through realist and liberalist lenses. The paper concludes by highlighting the contributions of this approach and identifying potential areas for future research.

Two decades of sustainable development studies in higher education management: a bibliometric analysis

Purpose This study aims to identify the growth pattern of research literature, most influential authors, most impactful documents and most relevant topics on sustainable development (SD) in higher education management (HEM) from 2000 to 2023. Design/methodology/approach The research approach used descriptive quantitative and bibliometric analysis. Scopus was used to retrieve data from 811 selected documents from 2000 to 2023. Data analysis used VOSviewer and R Biblioshiny. Findings The results showed intense development of sustainable development research in higher education management, especially in 2013–2023. Core literature was identified based on the volume of publications or citations from the perspective of authors, documents and keywords. Global research topics on SD in HEM focus on curriculum development and sustainable learning, sustainable higher education management and enhancing research and development of SD in HEM. The results of this research reveal the emerging intellectual structure in the field of educational management and provide reference points for academics who wish to study this discipline. Originality/value This study offers a valuable knowledge map for future research on sustainable development in higher education management. As a map, researchers can find core documents and current topics and identify potential research issues in this study.

Enhancing transparency and fairness in automated credit decisions: an explainable novel hybrid machine learning approach

This paper uses a generalised stacking method to introduce a novel hybrid model that combines a one-dimensional convolutional neural network 1DCNN with extreme gradient boosting XGBoost. We compared the predictive accuracies of the proposed hybrid architecture with three conventional algorithms-1DCNN, XGBoost and logistic regression (LR) using a dataset of over twenty thousand peer-to-peer (P2P) consumer credit observations. By leveraging the SHAP algorithm, the research provides a detailed analysis of feature importance, contributing to the model’s predictions and offering insights into the overall and individual significance of different features. The findings demonstrate that the hybrid model outperforms the LR, XGBoost and 1DCNN models in terms of classification accuracy. Furthermore, the research addresses concern regarding fairness and bias by showing that removing potentially discriminatory features, such as age and gender, does not significantly impact the hybrid model’s classification capabilities. This suggests that fair and unbiased credit scoring models can achieve high effectiveness levels without compromising accuracy. This paper makes significant contributions to academic research and practical applications in credit risk management by presenting a hybrid model that offers superior classification accuracy and promotes interpretability using the model agnostic SHAP framework.

A Combination of Camera and Pitfall Traps: A Method for Monitoring Ground-Dwelling Invertebrates in Farmlands

Ground-dwelling invertebrates are crucial for maintaining biodiversity, soil health, and food production in agricultural ecosystems; however, their diversity is declining globally. Despite advancements in data science and modern monitoring technology, conventional methods remain predominant in the current field investigations of ground-dwelling invertebrates in farmlands. This study aimed to develop simple, convenient, and automated methods to assess ground-dwelling invertebrate biodiversity in farmlands. Both camera and pitfall traps were used to monitor ground-dwelling invertebrates in two farmlands in Ningbo City, China. Over four experimental periods, lasting 34 days in the vineyard farmland and 32 days in the watermelon farmland, the camera traps detected a relatively high density of invertebrates, although the relative dominance of ant density was overestimated in both farmlands. Both methods revealed similar temporal dynamics of the ground-dwelling invertebrates during the four periods in the vineyard farmland. However, only camera traps recorded the temporal dynamics of the invertebrates at daily, hourly, and minute resolutions in both farmlands. Conclusively, this study demonstrates that combining camera and pitfall traps provides an effective method for monitoring the temporal dynamics of ground-dwelling invertebrates in farmlands, offering high-quality data useful for ecological research and biodiversity protection in agricultural management.

Operations Management Research: Relevance and Impact

Problem definition: A fundamental issue faced by operations management researcher relates to striking the right balance between rigor and relevance in their work. Another important aspect of operations management research relates to influencing and positively impacting businesses and society at large. We constantly struggle to achieve these objectives. Methodology/results: This MSOM Fellow forum article discusses key opportunities for increasing the relevance and impact of Operations Management research. In particular, it highlights two major areas: technology enabled operations and society and operations where unique opportunities exist for the field to make lasting contributions to business and society. Managerial implications: It concludes with a menu of approaches to enhance practical impact of our research.

Mitigating Cognitive Bias to Improve Organizational Decisions: An Integrative Review, Framework, and Research Agenda

The detrimental influence of cognitive biases on decision-making and organizational performance is well established in management research. However, less attention has been given to bias mitigation interventions for improving organizational decisions. Drawing from the judgment and decision-making (JDM) literature, this paper offers a clear conceptualization of two approaches that mitigate bias via distinct cognitive mechanisms—debiasing and choice architecture—and presents a comprehensive integrative review of interventions tested experimentally within each approach. Observing a lack of comparative studies, we propose a novel framework that lays the foundation for future empirical research in bias mitigation. This framework identifies decision, organizational, and individual-level factors that are proposed to moderate the effectiveness of bias mitigation approaches across different contexts and can guide organizations in selecting the most suitable approach. By bridging JDM and management research, we offer a comprehensive research agenda and guidelines to select the most suitable evidence-based approach for improving decision-making processes and, ultimately, organizational performance.

International Journal for Innovative Engineering and Management Research

International Journal for Innovative Engineering and Management Research

International Journal for Innovative Engineering and Management Research

International Journal for Innovative Engineering and Management Research

International Journal for Innovative Engineering and Management Research

International Journal for Innovative Engineering and Management Research

International Journal for Innovative Engineering and Management Research

International Journal for Innovative Engineering and Management Research