Management Discipline Research Articles

Finding Negativity of Business Interaction in Human Resources Management on Controlling the (Interacted) Business on Cutting Edges and Competitiveness

An interaction between promotion and sales, in a given business, should unfold many of the insights for the business. There lies a problem on higher or lower relative measures in respect of effort of promotion or sales, in an interaction in business. The study has found the relative measure and obtained results which theoretically lead to generate a model, may be called as sales model. With many of its prosperous virtues, this model would be able to control negativity in the measures of either promotion or sales. Such study can easily maneuver to computer software to anticipate or estimate the interaction outcome. In the study, there would be found the correlative relationship by which interaction phenomenon can be visualized, over several fluctuations of sales and promotion. The study should make the interaction modeling to form out the similar modeling for any management discipline like human resources management especially, alongwith operation, strategy, financial management and many others. With lots of future scopes, the study can be treated as an examining explanation to several real-life problems to solve within a business.

Boosting Business Performance: The Impact of Entrepreneurial Culture on Women Entrepreneurs’ Behavior

Entrepreneurship has been extensively examined across various management disciplines, with significant attention given to women entrepreneurship, which has made considerable strides in recent years. Despite this positive trend, many women continue to face challenges in balancing their business responsibilities with household duties. These challenges often lead to role conflicts as women navigate the demands of both their professional and domestic roles. This research aims to evaluate the impact of adopting an entrepreneurial culture on shaping the entrepreneurial behavior of women entrepreneurs, with the ultimate goal of enhancing their business performance. The study involved 88 married women entrepreneurs and utilized partial least squares structural equation modeling (PLS-SEM) for analysis. Additionally, Importance-Performance Map Analysis (IPMA) was employed to elucidate the significance and impact of each variable. The findings highlight the crucial role of adopting an entrepreneurial culture in women entrepreneurship, demonstrating its substantial influence on both the transformation of entrepreneurial behavior and the enhancement of business performance. Consequently, to achieve superior business performance, it is recommended that entrepreneurs should focus on the cultivation and refinement of their entrepreneurial culture.

Unveiling Regulatory Operations: A Data Set of the Determinants, Process, and Outcomes of Product Defect Investigations by the U.S. Automotive Safety Regulator

Problem definition: The paucity of data on governmental regulatory agencies’ product safety defect investigations has restricted our knowledge about (1) the determinants of a regulator’s decisions to open or close an investigation, (2) the process it follows between opening and closing of an investigation, and (3) the outcomes of the investigation when it is closed. Methodology/results: The authors view a safety regulator’s opening and closing of a product defect investigation as a decision of interest to the operations management discipline. This data paper describes a rich, novel, and hand-collected data set of all investigations that the National Highway Traffic Safety Administration—the U.S. regulator for automobile safety—opened and closed against 187 manufacturers between 2009 and 2021. The authors provide two Microsoft Excel data files, one capturing data for the investigations opened and the other for the investigations closed. The data files enable researchers to address three sets of research questions. First, researchers can use the “Data on Investigations Opened” file to model the determinants of a regulator’s opening of a product defect investigation. Second, researchers can mine the textual variables from both files to identify the steps involved in the investigation process. They can also use the process variables included in the data to investigate the regulator’s efficiency in opening and closing investigations. Third, researchers can use the “Data on Investigations Closed” file to better understand when and why a regulator closes an investigation and the outcomes of the closed investigations. Managerial implications: The data files can also be valuable to nonacademic stakeholders (e.g., governmental organizations and regulators, journalists, liability lawyers, politicians, and safety advocates). The authors provide an open-access website that simplifies the use of the data for a nonacademic audience and allows them to draw insights from the data via graphs and tables. Supplemental Material: The online supplement is available at https://doi.org/10.1287/msom.2023.0705 .

Objective and subjective measurement in applied business settings: Improving research in organizations

The inclusion of rigorous measures and methods by researchers often influence a reviewer’s and editor’s decision about whether an article is accepted. In positivist research, studies that include objective measures (i.e. avoiding respondent bias) are often considered superior. We argue that the methodological quality of a study is not merely achieved by including an objective measure, but instead by understanding the strengths and limitations of the measure (whether objective or subjective) and its appropriateness for addressing the research question. We consider the suitability of using objective and subjective measures in research at both macro and micro levels and emphasize the strengths and weaknesses of both, using criteria of bias, validity, reliability, sensitivity, and feasibility. As an underexamined topic in applied business research, we overview some types of objective measurement that have been adopted in the applied management discipline and consider their utility. JEL Classification: C90, D23

Strategies for LinkedIn-Based Guest Speaker Recruitment and Establishment of Engaging and Comfortable Classroom Discussions: A Case Study from an Operations Management Course

This article describes workable strategies for instructors to introduce highly interactive question and answer (Q&A) sessions with accomplished guest speakers from industry. Two innovative strategies serve as the key factors behind the series’ success: (1) using LinkedIn to partner with guest speakers, especially university alumni, who possess expertise in specific operations management disciplines, and (2) implementing a novel structured Q&A approach that enables alignment with learning objectives while maximizing quality student engagement. Our approach accesses the resumes of tens of thousands of college alumni listed on LinkedIn and utilizes free cloud-based services such as Google Forms and Google Sheets for question submission (by students), review (by instructors), and selection (by the guests). These successfully implemented strategies (1) match qualified speakers to relevant course content, (2) boost student engagement by ensuring the participation of all students, (3) promote content alignment by first filtering out irrelevant student questions, and (4) increase speaker preparation and comfort level.

Studying University-Industry Collaboration in Latin America: A Systematic Review of the period 1993-2022

This article offers a comprehensive examination of perspectives on university-industry interactions in Latin America. Distinguishing itself from international reviews, the study employs a systematic review of 274 articles across Scopus, Scielo, and Dialnet databases. The research addresses the temporal evolution, disciplinary fields, conceptual approaches, methods, and prevailing topics in the region. Findings reveal a focus on management, economics, business, social sciences, and engineering disciplines. Qualitative methods dominate, while theoretical-conceptual approaches encompass meso-institutional and micro-interactional levels. Key research themes include collaboration results, knowledge transfer, innovation, technological transfer, and collaboration barriers.

A Lean Six Sigma approach aided improvement for simultaneous electrochemical determination of antiviral drug favipiravir and levodropropizine as an option in the treatment of COVID-19 using glassy carbon electrode modified NiFe2O4 nanocomposite in different matrices

Favipiravir (FPV) is a widely used drug that works well against a variety of infectious RNA viruses. It is commonly used as an anti-influenza medication. To treat patients infected with RNA viruses, combination therapy consisting of FPV and levodropropizine (LDP) is required. As a result, an effective electrochemical sensor for identifying FPV in human plasma samples has been developed. The hydrothermal method is used to synthesize NiFe2O4NPs, a binary transition metal oxide comprising iron and nickel. The effective synthesis of these materials is verified by energy-dispersive X-ray analysis (EDX) and X-ray diffraction (XRD). The developed nanocomposite underwent physicochemical and electrochemical characterization, and the experimental setup was refined. Two broad linear dynamic ranges were obtained for both medications using Differential Pulse Voltammetry (DPV): 0.5 µM–200 µM for FPV and 1.0 µM–110 µM for LDP. For FPV, the computed detection and quantitation limits were 0.148 µM and 0.45 µM, while for LDP, they were 0.297 µM and 0.9 µM. The recommended technique was successfully used to analyze both medications at the same time in human plasma samples, and acceptable percentage recoveries were attained. In terms of greenness, EcoScale and GAPI greenness tools were used to evaluate the analytical methodology. Additional studies on repeatability, stability testing, interference analysis, and greenness evaluation supported the validity of the recommended method for the simultaneous measurement of FPV and LDP in laboratories for quality assurance. Additionally, Lean Six Sigma (LSS) quality technique is regarded as a collection of management disciplines for continuous improvement and method control. It is thought to offer the most practical way to address the negative effects of variation by taking steps toward analytical process improvement. As a result, LSS can be considered an invaluable tool in any laboratory, serving as a standard method for process optimization and problem solutions as well as a managerial discipline. Furthermore, it guarantees a strong method specification at a high degree of statistical confidence and targeted performance.

Model risk management in stress testing: The road up to here

This paper reviews the historical evolution of the quantitative models, model usage and model risk management (MRM) in large US banks since the 1980s. It comments on the most significant model-related events through this period. Some of these events were associated with contexts of great stress to the financial system. The paper identifies the main features of modelling in finance and economics that distinguish it from its application in the natural sciences. Then it presents the different types of models used in the large banks' stress testing programmes, the specific characteristics and risks of each type of model and the best practices for the implementation of sound model risk management, and it suggests a proper way to interpret the results of stress testing and capital assessment in the presence of model risks. The paper discusses the future evolution of MRM towards the implementation of a `fully fledged risk management framework` along the lines of other risk management disciplines, including risk identification, measurement, monitoring, reporting, limiting and capitalisation. It acknowledges the enhancements and opportunities offered by advances in the use of artificial intelligence and machine learning as well as increases in computational power. The paper concludes by noting that the model risk management framework that has been enforced by the Federal Reserve's stress testing and capital planning programmes has substantially strengthened the capital position, profitability and resilience of the large banks in the US.

THE EFFECT OF DIGITALIZATION ON HUMAN RESOURCE MANAGEMENT PRACTICES: A BIBLIOMETRIC ANALYSIS

This study examines the intersection of digitalization and human resource management (HRM) practices through a bibliometric analysis. Utilizing the VOS Viewer program for quantitative analysis and supplemented by qualitative content reading, the research explores key trends, themes, and authorship patterns within the existing literature. The primary data source is the Web of Science database, yielding 268 relevant studies published between 2005 and 2023. Findings indicate a growing interest in the topic, particularly within the management discipline, and highlight key HRM practices impacted by digitalization, including recruitment, training and development, performance management, and career management. The analysis reveals that digitalization enhances HR efficiency, reduces costs, and supports learning and development, while also presenting challenges such as data security risks, skill gaps, and potential resistance to change. Co-authorship and citation networks identify influential authors and emerging research clusters. The study underscores the interdisciplinary nature of digital HRM research and calls for broader database inclusion to enhance future bibliometric studies.

Unveiling the intellectual nexus between Peirce’s synechism and Goldratt’s theory of constraints: insights for management and organization studies

Purpose Charles Sanders Peirce (1839–1914), recognized as the father of philosophical pragmatism, has been described as a philosopher’s philosopher. Eliyahu Moshe Goldratt (1947–2011), considered the father of the management philosophy theory of constraints (TOC), has been described as being, first and foremost, a philosopher. The TOC body of knowledge is mainly preserved as concrete methodologies used in the management discipline. By examining the foundational elements of synechism and the TOC, the purpose of this study is to investigate the intellectual connections between the arguments and legacies of Goldratt and Peirce. Although this connection is worthy of much further investigation, the research emphasizes the possible implications from a management philosophy perspective. Design/methodology/approach Based on a “review with an attitude,” the authors first examined the foundations of Goldratt’s TOC through the lens of Peirce’s synechism. Next, the authors then examined how the study of Peirce combined with a selection of contemporary research in the management and organizational studies domain could point out a direction toward completing Goldratt’s unfinished intellectual work to establish a unified science management while addressing some of the current gaps in the TOC body of knowledge. Findings Major findings show that synechism’s growth may extend TOC knowledge, improving managerial practice in organizations. Findings on the convergent ideas of both also reveal that Goldratt valued all synechism categories, emphasizing the importance of not overlooking Firstness. Furthermore, the study analyzes the abductive inference demonstrated in the two use cases, introducing an additional metaphor to the management of organizational systems inspired by Peirce’s philosophical concepts. The research concludes that incorporating TOC and synechism principles can enhance management and organizational practices and enrich management philosophy and theories. Research limitations/implications This pioneering research opens promising opportunities to draw parallels between Peirce and Goldratt. Interdisciplinary collaboration will enhance the rigor and validity of integrating synechism and TOC. Experts in organizational behavior, systems theory and complexity science can provide valuable insights into this debate, while practitioners and consultants could help identify barriers and opportunities for integrating synechistic principles. Practical implications The study proposes a novel abductive approach using Peirce’s cable metaphor as an initial framework to build a unified science of management based on evolutionary stages: TOC, common sense and connectedness. Originality/value This research reinforces the argument that contemporary management practices need philosophical thinking. The authors argue that re-evaluating the foundations of management thought enriches the decision-making process in organizations and the understanding of contemporary theories in management and organizational studies.

Developing Grounded Theory Systematic Approach for Logistics and Supply Chain Management Research

ABSTRACTThe emergence of the supply chain management (SCM) discipline and its integration with other research fields, such as logistics, has sparked research that aims to combine scientific rigor with business utility. Calls for increased theory‐building and practically relevant research have driven the discipline's development. This article advocates the wider use of grounded theory methodology, providing practical guidance to ensure reliable theoretical contributions. The study employs a multi‐method approach (bibliometric analysis, mapping review, and state‐of‐the‐art analysis) to quantitatively review existing grounded theory research on logistics and SCM issues, investigate its methodological attributes, and outline its strengths and weaknesses. Based on these findings, guidelines are proposed for methodologically sound grounded theory building in the discipline. Derived from empirically grounded theory studies, these guidelines address issues that hinder the effective use of the method, such as misunderstanding its fundamentals, improper use of literature, coding challenges, inadequate research design, and difficulties in transitioning from analysis to theorizing. By adding an empirical perspective to supplement existing guidelines, the study aims to enhance the quality of SCM research. While grounded theory is not the only solution for advancing the discipline, its judicious use is advocated to bring rigorous, theory‐driven, and practice‐oriented contributions to logistics and SCM research.

Women Entrepreneurship: A Bibliometric Review from 2012 to 2022

This study aims for bibliometric analysis by analysing trends in various authors, documents, topics, conceptual structures and collaboration networks on women entrepreneurship. This work analysed 329 publications that were recovered from the Web of Science record from the period of 2012–2022 (and early access articles of 2023) and conclusions were drawn using the ‘bibliometric R-package’ and ‘VOSviewer’. Observations have shown that after 2018, scholarly attention quickened. Trending areas related to women’s entrepreneurship during the selected period include gender, growth, women and work. Highly relevant themes that are underdeveloped till now related to women entrepreneurs which can attract researchers in the future include mediating roles, moderating roles, leadership, performance, determination and much more. This bibliometric evaluation provides a thorough, organized, impartial analysis of women entrepreneurs. Results showed that business, management and entrepreneurship disciplines rule writings on women’s entrepreneurship. This study has identified four components based on the selected data, i.e., strengths, weaknesses, opportunities and dangers faced by women entrepreneurs. There is an utmost need for capacity development and training, particularly in the areas of governance, leadership, communications and the use of information, communication and technology in business because the majority of women entrepreneurs are unable to provide appropriate services to their members. The findings may give scholars and professionals information about the current situation and trending topics of female entrepreneurs. We put out a few research questions that may be addressed in the future for each of the primary study directions.

From zero to hero: ramp-up management as a new cross-cutting business process management capability

AbstractChanging business environments challenge and motivate organizations to transform. To remain competitive, organizations need to embrace these dynamics and make radical changes to how work is performed. Business process management (BPM) as a holistic management discipline offers mature methods and end-to-end management activities. However, it is subject to the tension between stability and change. While change through the improvement of existing business processes is well understood, the implementation and scaling of novel business processes have been neglected in BPM research. Hence, this paper proposes business process ramp-up management (BPRUM) as a new cross-cutting capability area for contemporary and future BPM and explores relevant sub-capabilities. Our work synthesizes insights from an exploratory interview study with 21 subject matter experts to advance the understanding of BPM as a corporate capability regarding the implementation and scaling of novel processes. As a result, this study illustrates how BPRUM adds to modern BPM and presents 40 action-oriented sub-capabilities that provide hands-on knowledge and practical guidance for effective BPRUM. Thereby, it serves as a foundation for further theorizing on process ramp-up and for structuring discussions among BPM practitioners.

Beyond declarations: Metrics, rankings and responsible assessment

Responsible assessment promotes expert judgment and opposes sole reliance on research metrics when assessing research excellence. While many institutions and national research panels declare commitment to responsible assessment practices, we ask: have these declarations affected the outcomes of research evaluation? Using data from the UK's 2021 national research quality exercise and focusing on the business and management discipline, we show that the strong association between journal rankings and expert evaluations has not changed, despite institutional endorsements of DORA (Declaration on Research Assessment). Additionally, we find that this correlation is strongest for the most prestigious journals. The implications of these findings are profound: they enhance understanding of the use of metrics in research evaluations post-DORA and highlight potential constraints in the deployment of responsible assessment.

Perceived Quality of Higher Educational Institutions in Maharashtra: Students Perspective

In recent times, Indian education system has seen an upsurge in post graduate management institutions due to growing demand of management discipline. Mere existence to function in the system will certainly not help the institutions in the long run. Service quality is often seen as a good competitive strategy that not only service organizations, but also educational institutions worldwide employ to increase their competitiveness in the tertiary sector. Hence, providing quality education is the need to be addressed here. Given a fact that students have become more informative and are exposed to different educational platforms, institutions are readily being at their disposal. The present study was carried out in Maharashtra, India where 26 Institutes from three regions Pune, Nagar and Nashik participated in the study. The objectives of study were to analyze students’ perception on the quality of higher education based on their demographic profile and impact of diverse educational background of students on perceived quality of education. SERVQUAL was used to collect the data. The collected data was analyzed using descriptive statistics viz chi-square eta and regression analysis. The results of the study revealed that students’ perception on the quality of higher education and their gender, graduation and region are independent. There is no impact of diverse educational background of students on perceived service quality of HEIs.

Coastal and Marine Management – Navigating islands of data

The disciplines of Coastal Management and Marine Spatial Planning (MSP) are predominantly focussed on creating a regulatory and legislative framework within which national and regional planning policies, climate mitigation measures and environmental monitoring requirements can be effectively implemented. These evidence-based processes necessitate the discoverability, accessibility and integration of appropriate ‘trusted’ coastal and marine data together with contiguous terrestrial datasets. This presents significant challenges at national and local levels. While authoritative open data is often available, the data for any management requirement is often dispersed across a wide range of national online portals, statistical and research hubs, ‘scientific’ platforms and occasionally, private companies. This is exemplified in Ireland, where MSP is in its infancy, and consequently, the breadth of MSP foundational thematic marine data requirements required to comply with this Directive has yet to be fully realised by end-users/stakeholders and data providers. This study examines the nexus between mandatory data requirements of the European Community’s Infrastructure for Spatial Information in the European Community (INSPIRE) Directive11INSPIRE Directive (2007/2/EC) is a legal EU initiative to establish an INfrastructure for SPatial InfoRmation in Europe and to make geographical information more accessible and interoperable for the management of the environment and other wide range of purposes towards supporting sustainable development (EC, 2021) (2007/2/EC), (EC, 2007) and the evidence-base needs of its Maritime Spatial Planning (MSP) Directive (2014/89/EU). An extensive inventory of coastal and MSP thematic data features is identified and categorised (into sectoral/thematic clusters) and appropriate and authoritative online sources (where available) are scoped out. Through an in-depth interrogation of national and EU sectoral platforms or portals, (much of whose data was originally captured for a diverse range of applications and management processes), and in view of INSPIRE’s well-established (legally-binding) data specifications, standards and guidance, a methodology is presented to accelerate coastal and marine data discovery, and to collate or ‘group’ these authoritative data sources under broad but succinct MSP thematic headings. The resulting coastal and marine data catalogue is the first step in the creation of an easy data reference and retrieval tool for Irish coastal and marine practitioners, and presents a model for other nations.

Digital: accelerating the pathway.

The Spherical Tokamak for Energy Production (STEP) programme is an ambitious but challenging endeavour to design and deliver a prototype fusion power plant. It is a rapid, fast-moving programme, designing a first of a kind device in a Volatile, Uncertain, Complex and Ambiguous (VUCA) environment, and digital tools play a pivotal role in managing and navigating this space. Digital helps manage the complexity and sheer volume of information. Advanced modelling and simulation techniques provide a platform for designers to explore various scenarios and iteratively refine designs, providing insights into the intricate interplay of requirements, constraints and design factors across physics, technology and engineering domains and aiding informed decision-making amidst uncertainties. It also provides a means of building confidence in the new scientific, technological and engineering solutions, given that a full-scale-integrated precursor test is not feasible, almost by definition. The digital strategy for STEP is built around a vision of a digital twin of the whole plant. This will evolve from the current digital shadow formed by system architecting codes and complex workflows and will be underpinned by developing capabilities in plasma, materials and engineering simulation, data management, advanced control, industrial cybersecurity, regulation, digital technologies and related digital disciplines. These capabilities will help address the key challenges of managing the complexity and quantity of information, improving the reliability and robustness of the current digital shadow and developing an understanding of its validity and performance.This article is part of the theme issue 'Delivering Fusion Energy - The Spherical Tokamak for Energy Production (STEP)'.

A deep learning classification framework for research methods of marine protected area management

The latest emerging transdisciplinary marine protected area (MPA) research scheme requires efficient approaches for theoretically based and data-driven method integration. However, due to the rapid development and diversification of research methods, it is growingly difficult to locate new methods in methodological dimensions and integrate them to the utmost utility. This study proposes a deep learning-based classification framework for MPA management methods focused particularly on data and theory capabilities using natural language processing (NLP). It extracted keywords from academic sources and performed clustering based on semantic similarity, generating benchmark texts for abstract labeling. By training the deep learning NLP model and analyzing the abstracts of 9049 MPA management empirical research articles from 1986 to 2024, the data and theory scores were attributed to each article, and a total of 19 major method categories and 110 segment branches were identified in qualitative, quantitative, and mixed genres. Combination types of research methods were summarized, yielding the data-theory neutralization principle where the average data and theory scores tend to approximate 0.50. Applying the principle broadens traditional boundaries for method integration and extends method synthesis to higher numbers, generating a practical research 2paradigm for future MPA research. Implications include bridging social and ecological data, theorizing emergent challenges in complex systems and integrating theory construction and data science. The framework is applicable to quantification of other environmental management disciplines and can serve as guidance for multidisciplinary method integration.© 2017 Elsevier Inc. All rights reserved.

Student Engagement in the Online Learning Environment during the COVID-19 Pandemic in Sri Lanka

Aims: This study focuses on factors affecting students’ engagement, and their issues and perceptions of online education in Agricultural Economics and Agribusiness Management related curricula in Sri Lankan state universities during the COVID-19 pandemic. Place and Duration of the Study: Data were collected from university undergraduates who studied Agricultural Economics and Agribusiness Management subjects in six state universities in Sri Lanka from January 2022 to February 2022. Methodology: The primary data were collected from 215 university undergraduates in relevant discipline through a pre-tested questionnaire developed by the researcher via Google form. All the respondents were volunteered to complete the questionnaire and submitted their responses online and those responses were collected anonymously. The Factor analysis was employed in the study to generate a single value for the dependent variable and the multiple linear regression was used to understand the factors affecting Student engagement in online learning. Results: The study indicates that the majority of students showed a positive attitude toward online education. The study findings show the student-teacher interaction is a positive and significant factor in online education in Agricultural Economics and Agribusiness Management disciplines but student-to-student interaction is not a significant factor for student engagement in online education. Moreover, when the students are female and students are in their final year, they are most likely to engage in online education. The study also shows that the majority of students prefer online education even though some highlighted the negative issues. However, providing continuous and stable access to the internet connection and providing other infrastructure facilities to students and teachers are some of the main challenges in promoting online education in Sri Lanka. In addition, proper attention should be paid to assure the quality of online education to develop students holistically. Conclusion: Study concludes that building and maintaining student-teacher interaction is one of the key determinants in student engagement in online education. Also student engagement can be enhanced through a student-centered learning activities which focus on their active contribution.

PENGARUH RASIO KEUANGAN DAN FAKTOR LAINNYA TERHADAP NILAI PERUSAHAAN NON-KEUANGAN DI INDONESIA

The purpose of this research is to obtain empirical evidence about the effect of return on equity, debt to equity ratio, current ratio, firm size, dividend payout ratio, managerial ownership, institutional ownership, and free cash flow on firm value. This research uses samples from all companies except financial sector listed on the Indonesia Stock Exchange (IDX) from 2019 to 2022 with 65 listed non-financial companies used as samples in this research. This sample selection used the purposive sampling method with research data with a total of 195 data and analysis using multiple linear regression. The results of this research showed that return on equity and debt to equity ratio have positive effect on firm value. Higher return on equity shows that the company is generating higher profits and the profits can exceed the cost of equity, thereby giving a positive impression to shareholders which can increase firm value. Higher debt to equity ratio means that the company is more confident about the company’s prospects and increases the management discipline in managing company’s financial, which makes investors interested in buying shares, thereby increasing firm value. Other independent variables such as current ratio, firm size, dividend payout ratio, managerial ownership, and institutional ownership have no effect on firm value.