International Journal of Bibliometrics in Business and Management (6 papers in press)

Regular Issues

• Impact of Digital Transformation on Employee Job Satisfaction - a Bibliometric Analysis  
  by Debiprasad Mukherjee, G. Naresh 
  Abstract: Digital transformation involves utilising emerging digital technologies to revamp business processes, organisational culture, and user experiences in line with global business demands. Employee job satisfaction is measured by their preference for job aspects such as work profile and quality. Consequently, scholars worldwide have examined how digital transformation affects employee job satisfaction. This study aims to analyse the progression of research on the impact of digital transformation on employee job satisfaction in major Scopus-listed journals within management and social sciences. Employing bibliometric tools like Bibliometrix/Biblioshiny, this analysis synthesises bibliometric data, encompassing clustering, conceptual, intellectual, and social structures, along with author and citation analysis. The objective is to provide researchers and academics with insights into the evolving literature, trends, perspectives, and themes in digital transformation and employee satisfaction. The findings underscore the positive correlation between digital transformation initiatives, heightened job satisfaction, and improved job performance, emphasising the potential to shift jobs from operational to strategic, lean, and flexible, thereby enhancing overall satisfaction.
  Keywords: digital transformation; job satisfaction; satisfaction index; Scopus; bibliometric; bibliometrix; clustering; citation analysis; source analysis.
  DOI: 10.1504/IJBBM.2024.10063247
   
  
• Customer Satisfaction Construct: Review and Bibliometric Study  
  by Uday Bhale, Harpreet Singh Bedi 
  Abstract: Background: The customer satisfaction construct is of great interest to marketing researchers. This topic is important because customer satisfaction helps in the creation of maintainable competitive advantage and improvement in the financial outcomes of businesses. Objective: The purpose of this study is to offer the most recent status of published articles on the customer satisfaction construct on the Scopus database. Methodology: The bibliometric analysis was conducted on the keyword 'customer satisfaction' in the Scopus database using the 'Title, Abstract, and Keywords' search option. Results and Conclusion: According to the study, the customer satisfaction construct has emerged as a major research subject in the last decade, with a total of 61,225 articles till the end of 2020. The first publication on the customer satisfaction construct dates to the year 1928. The construct is a global phenomenon that has captured the interest of experts around the world in the previous decade, with publications ranging from 2016 to 2020. The study reveals that publications on customer satisfaction are available in a variety of fields but as expected, publication in the discipline of business management dominates this area of research. The study can be used by academicians as a ready reference if they want to do further study on the customer satisfaction construct.
  Keywords: Review; Customer Satisfaction; Bibliometric; Scopus database.
  DOI: 10.1504/IJBBM.2024.10064632
   
  
• REAWAKENING OF ORGANIZATIONAL COMMITMENT THROUGH BIBLIOMETRIC VISUALIZATION: A SCOPUS DATABASE MAPPING  
  by Sudhir Chandra Das, Alisha Samad 
  Abstract: Organisational commitment is a fascinating issue among managers and researchers in this competitive business environment. The current article has done a Bibliometric Analysis, and to understand the analysis comprehensively, the Scopus database has been extracted to identify the publications by year, most published subject area, utmost cited papers, and research productivity in terms of most prolific authors, countries, and institutions. The VOS viewer software was run to analyse the bibliometric methods based on co-authorship analysis, co-occurrences of keywords & citation analysis. By visualising the software, the outcome represents that during 2020, the variable 'organizational commitment' has the highest number of publications with 728 documents, thereby representing an important topic in the scenario according to the recent trends & issues in behavioural studies and setting its targets for forthcoming research agenda.
  Keywords: Organizational Commitment; Bibliometric analysis; Scopus; Vos viewer; Co-authorship analysis; Co-occurrences analysis; Citation analysis; and the United States.
  DOI: 10.1504/IJBBM.2024.10064793
   
  
• Role of Digital Transformation In Human Resource Practices a Bibliometric Analysis  
  by Vaishali Gupta, Monika Arora, Deepankar Chakrabarti 
  Abstract: Digital transformation is increasingly gaining traction in todays modern era which is fuelled by the synergies between the businesses world and technological advancement leading to competitive advantages, which has been accelerated after the COVID-19 pandemic. Organisations have a very important role in human life, which is carried out by our human resource department. It has been assessed that digital transformation has a disruptive impact on human resource practices. In particular, an increasing number of organisations is revising their management control systems to cope up with the external pressures made by competitors and regulators and make their organisation human resource friendly. With the help of bibliometric analysis build on extracted database of Scopus using VOS viewer, this paper aims to make an assessment on overall effect of digital transformation on best human resource practices (a human centric approach).
  Keywords: bibliometric analysis; digital transformation; DT; human resource practices; HRP; firm performance; sustainability; VoS viewer.
  DOI: 10.1504/IJBBM.2024.10065190
   
  
• Improving Performance in Olympic Games: A Survey and Guidelines for Indian Sports Management  
  by Subodh Mor, Shikha Khera, Girish Chandra Maheshwari 
  Abstract: The success in the international sports of any nation depends upon various components such as economic conditions, training, and support system. The purpose of this paper is to review the existing practices of the athletes in the Olympic games. Based on the extensive search strategy, this study reviews 27 research articles from various countries across the world focusing on providing strategies and techniques for the successful performance of Olympic athletes. The performance of the existing Olympic athletes is assessed. The work provides guidelines for improving the performance of athletes in Olympic Games. Further, the positive and negative factors affecting an athlete in the Olympic game are extracted and listed. A framework for improving the performance of athletes in India in Olympic sports is given.
  Keywords: Olympic games; Indian sports; athlete; performance; sports activities.
  DOI: 10.1504/IJBBM.2024.10065420
   
  
• Fraud and Anomaly Detection Models in Banks: a Systematic Analysis and Literature Connection  
  by Alex Pinto, Mathias Schneid Tessmann, Alexandre Lima 
  Abstract: This paper seeks to analyze and verify existing connections in the literature on fraud detection in banks. For this, 227 papers published until September 2022 in the Web of Knowledge through the PRISMA protocol are analyzed and classified. The works were identified using the keywords "Fraud", "Model", "Detection", "Banking" and "Risk" and classified into 12 categories, such as type of study, approach, cut, design, nature, the purpose of study, method, spatial scope, period of study, focus, data used and results. Based on the classification, statistics of complex networks are also used to identify the existing citation connections between them. The results show that there is a dissemination of the use of machine learning techniques together with business rules to detect possible cases of fraud and a growing increase in cases of fraud with social engineering. These findings are useful for the scientific literature that investigates operational risk professionals of banks.
  Keywords: Fraud detection; Anomaly detection; Systematic literature review; Bibliometric; Machine learning; Banks.
  DOI: 10.1504/IJBBM.2024.10065464