Dr. Abdul Razak currently serves as Faculty at the Entrepreneurship
Development Institute of India in Ahmedabad. Prior to this, he held the
position of Assistant Professor at VIT Business School, Vellore Institute of
Technology, and the School of Business, SR University. His professional
journey includes a role as a Management Consultant at Starlight Capital
Inc., where he organized New York Private Equity Forums for
Entrepreneurs and Investors in the United States.
Dr. Razak has also contributed as an Associate Professor at SITS and as a
Faculty member in the Central University of Karnataka. With a diverse
career spanning reputable organizations such as , Deloitte,
Genpact, First American Corporation, Starlight Capital Inc., and Citations
Publishers, he brings extensive experience in engaging with investors,
entrepreneurs, and high-level executives.
EDUCATION
MBA, PGDCL, PDITL, PDGIPR, PhD, Post-Doc
RESEARCH, TEACHING, or OTHER INTERESTS
Business, Management and Accounting, General Business, Management and Accounting, Economics, Econometrics and Finance, Finance
31
Scopus Publications
Scopus Publications
Analysing the impact of work environment on job motivation and quality control practices and its effect on production output in the leather industry A. Kaviya, Vasumathi Arumugam, Asokan Vasudevan, Abdul Razak Scientific Reports, 2025 Productivity in the leather industry is influenced by multiple organizational factors, particularly the work environment, employee motivation, and quality control mechanisms. Understanding the interplay among these variables is critical for improving operational efficiency. This study investigates the impact of the work environment on production output in the leather industry, examines job motivation as a mediating variable, and explores the moderating role of quality control practices (QCP) in this relationship. A cross-sectional survey was conducted among employees in selected leather manufacturing units. The data were analyzed using PROCESS macro Model 58 in SPSS to test the mediation and moderation effects. Findings reveal that a supportive work environment significantly enhances job motivation, which in turn has a positive influence on production output. While the direct effect of the work environment on production is weak, the indirect pathway through motivation indicates a partial mediation. Furthermore, strong QCP reinforces the link between motivation and performance, strengthening the overall effect on productivity. The study highlights that leadership and organizational strategies focusing on improving workplace conditions and integrating robust quality control practices can foster higher motivation and productivity. The evidence emphasizes that a structured and supportive work environment indirectly enhances supply chain efficiency and production outcomes through motivated employee participation in quality processes.
Navigating the green horizon: Embracing green sustainable responsibility in business practices Vasumathi Arumugam, Abdul Razak, Asokan Vasudevan, Subashini R. Green Marketing Perspectives Effective Messaging for Sustainable Practices, 2025 In today's changing economic world, the notion of green sustainable responsibility (GSR) has evolved as a cornerstone for businesses seeking to manage the problematic convergence of profit, society, and the environment. GSR symbolizes a fundamental commitment of firms to operate in a way that goes beyond standard profit-driven paradigms. It comprises a thoughtful assessment of the more significant influence of corporate activities on society and the environment, focusing on sustainability and social well-being in addition to financial performance (Guo et al., 2019). At its core, GSR represents a comprehensive approach to business operations that recognizes economic, social, and environmental interdependence. Beyond profit, GSR demands businesses to actively address their duties to stakeholders such as customers, workers, communities, and the earth itself. This includes attempts to reduce carbon emissions, protect natural resources, encourage ethical labor practices, and support community development. Businesses that embrace GSR may build confidence and credibility with stakeholders and improve brand reputation, and furthermore, GSR acts as a catalyst for innovation, propelling the development of environmentally friendly technology and business models that sync with social requirements and global limits. The chapter uses case studies and real-world examples to show how top organizations are transitioning to GSR, showcasing the benefits of aligning corporate objectives with societal and environmental imperatives. Finally, GSR provides a road map for enterprises to succeed in a constantly changing environment while contributing to the well-being of present and future generations.
Artificial intelligence in supply chain management A. Vasumathi, Abdul Razak, Geetha Manoharan Quantum Computing and Artificial Intelligence in Logistics and Supply Chain Management, 2025 The field of artificial intelligence (AI) emerged to design and construct cognitive systems that could imitate, acquire knowledge, and perhaps supplant human intelligence. Since the late 1970s, artificial intelligence (AI) has demonstrated significant potential in facilitating human decision-making processes, subsequently improving performance in diverse commercial pursuits. Artificial intelligence (AI) possesses the capacity to significantly transform several facets of company operations. Artificial intelligence (AI) can evaluate data and generate forecasts about demand, improve logistics and transportation routes, and uncover inefficiencies within the supply chain. This phenomenon has the potential to enhance adaptability to fluctuations in demand, diminish the time required for completion, and decrease expenses. This study conducts a comprehensive examination and evaluation of the utilization of artificial intelligence (AI) in the domain of supply chain management (SCM). Specifically, this research seeks to identify the AI techniques that can improve SCM performance, determine the SCM subfields that are most likely to benefit from AI enhancements, and examine the impact of AI applications on SCM performance. This is primarily attributed to AI's ability to classify business forms, acquire knowledge about business phenomena, repossess information, and intelligently analyze data. Although AI is widely acknowledged as a decision-aid tool, its use in supply chain management (SCM) has been limited. To capitalize on the advantageous likelihood of artificial intelligence (AI) in the realm of supply chain management (SCM), this chapter delves into different subdomains of AI that are significantly well-suited for addressing real-time issues pertinent to SCM. This chapter aims to examine the historical achievements of artificial intelligence (AI) applications in supply chain management (SCM) and determine the most promising areas within SCM for the implementation of AI.
Bridging the Divide: Integrating Artificial Intelligence into Business Education for a Progressive Future A. Vasumathi, Abdul Razak, K. Ganesan Transforming Business Education Through Artificial Intelligence, 2025 The rapid advancement of artificial intelligence (AI) has a disruptive impact on the corporate environment, forcing business education to adapt and tackle the growing problems and opportunities. Understanding how an AI system works, as well as critical thinking abilities, has thus become increasingly important for children and young people to understand the pros and problems of AI. AI and emerging technologies (ET) are reshaping the current corporate landscape. Business schools have a significant responsibility to equip students for success in the ever-changing and fastpaced business world. It is critical for these institutions to consistently adapt to the most recent business trends and developments, ensuring that their curriculum remains relevant and connected with these variations. These developments will only increase in the future. To manage these 378global developments, the corporate sector needs nimble and collaborative problem solvers. By addressing these factors, business schools may ensure their graduates have the necessary knowledge, competencies, and mindset to prosper in the dynamic business world. Business schools may play an important role in molding the future of business and pushing the successes of their graduates by keeping up with new trends and breakthroughs and stressing practical, hands-on learning.
An empirical study on the impact of organizational culture dimensions on employees’ performance through organizational support in the IT industry A. Vasumathi, Asokan Vasudevan, Abdul Razak, Suleiman Ibrahim Shelash Mohammad Social Sciences and Humanities Open, 2025 Organizational culture serves as a vital catalyst in enhancing overall productivity within organizations. It plays a significant role in social control, influencing employees' behavior, thoughts, beliefs, and attitudes through shared values and assumptions. Research highlights that a strong organizational culture directly affects employee productivity and fosters long-term organizational performance. It acts as a talent magnet, aligning employees with workplace goals, fostering synergy, and promoting success. Leaders prioritizing organizational culture can tackle complex challenges with innovative and productive solutions that benefit employees and drive business growth. Organizational culture reduces employee turnover, encourages change, refocuses organizational goals, and improves customer service, ultimately boosting overall effectiveness. This research explores the impact of organizational culture dimensions, particularly in IT organizations, on employee performance. The sample size of this study is 600 employees who are working in the leading top 3 IT companies. The researchers adopted a quantitative approach and a descriptive research design for this study. The Key dimensions include fostering team spirit and synergy, building mutual trust, and celebrating collective achievements. These cultural aspects positively affect employee performance metrics, such as productivity, commitment, adaptability, and involvement. The study also found significant differences in how organizational culture dimensions were perceived based on respondents' age. The findings underscore the importance of organizational support, a key factor, in linking culture dimensions to enhanced employee performance, offering valuable insights for leaders aiming to optimize organizational effectiveness through cultural development.
Impact of workforce emotional intelligence on patient satisfaction: A sentiment analysis approach using supervised machine algorithms Bharti Motwani, Sharda Haryani, Geetha Manoharan, Abdul Razak Employee Performance Management for Improved Workplace Motivation, 2024 In stressful jobs, emotional intelligence is crucial in the current competitive environment. Patient satisfaction is an important problem in health care, and the emotional intelligence of workers may affect it. The three key emotional intelligence traits for interpersonal skills are social skills, empathy, and intrinsic motivation. To assess the relationship between workforce emotional intelligence and patient satisfaction, 884 private ward patients provided text reviews. The Lexicon-based method classifies three EI dimensions. The three domains of emotional intelligence are assessed using textblob, Afinn, and VADER sentiment. Test all regression analysis assumptions before creating models. The models were created using six supervised machine learning methods. Gradient boosting produced the best result. Patient satisfaction was significantly affected by all three dimensions. Empathy contributed most, followed by social skills and intrinsic motivation. Staff can be trained to moderate their emotions, as EI is not continuous. Observing behavioral trends will improve patient treatment.
Human resource management and the rollout of industry 4.0: Investigating the impact of artificial intelligence Subhashini Durai, Geetha Manoharan, T. Sathya Priya, R. Jayanthi, Abdul Razak, Sunitha Purushottam Ashtikar Cognitive Behavioral Neuroscience in Organizational Settings, 2024 Today, HR lending helps technology develop quickly by automating manual work. Future HR will be led by AI. AI can transform your HR experience. AI will automate HRM tasks including recruitment, selection, L&D, and performance management. AI in HR would eliminate 85% of manual work. Future AI will be increasingly crucial. AI will boost employee productivity by improving decision-making and strategic planning. Robotics innovation, which includes AI and the internet of things, has created several professional opportunities. Industry 4.0 may improve precision, efficiency, and flexibility. Industry 4.0 involves several adjustments, including HR. Industry 4.0 makes HR competence more important and gives organizations an edge. HR should be more cautious and flexible to meet challenges. The study examines AI's role in HR digitization and Industry 4.0 practices. For this, HR specialists from IT, manufacturing, and administration are interviewed on five AI applications in HR capabilities and three HR readiness factors.
AI in finance and banking: The act of gyration Geetha Manoharan, G. Nithya, K. Rajchandar, Abdul Razak, Swati Gupta, Subhashini Durai, Sunitha Prurushottam Ashtikar Revolutionizing Customer Centric Banking Through ICT, 2024
Social Media Marketing: Does it Create Impact on Women Entrepreneurs Athilinga Senjith, Geetha Manoharan, Abdul Razak, Col BS Rao, Jyoti Kukreja, Sunitha Purushottam Ashtikar Proceedings 2024 3rd International Conference on Computational Modelling Simulation and Optimization Iccmso 2024, 2024
Climate Change and Armed Conflict: An Investigation O Nirmala, Geetha Manoharan, Col BS Rao, Abdul Razak, Franklin John Selvaraj, Sunitha Purushottam Ashtikar Proceedings 2024 3rd International Conference on Computational Modelling Simulation and Optimization Iccmso 2024, 2024
An empirical study on strategic alliances of multi-national companies in the modern Global Era-A select case study Academy of Strategic Management Journal, 2018
Critical evaluation of value chain analysis for assessing competitive advantage-a study on select companies of e-tailing industry Academy of Strategic Management Journal, 2018
