I am Dr. Hans Kaushik, a three-time UGC NET qualified academic at Dayalbagh Educational Institute (NAAC "A+" university). With a BBA-MBA Integrated, M.Phil., and Ph.D., I focus on educational pedagogy, agribusiness, quality education, technology management, sustainability, and systems approach in management. My research aims to bridge theory and practice, enhance educational frameworks, and foster future-ready professionals through innovative, sustainable, and practical learning solutions.
RESEARCH, TEACHING, or OTHER INTERESTS
Marketing, General Business, Management and Accounting, Management of Technology and Innovation
Analysing the total interactions amid elements of entrepreneurial education Sumita Srivastava, Hans Kaushik, Shweta Khemani, Jaspreet Kaur Review of Education, 2025 Entrepreneurial education plays a vital role in equipping students with the skills and mind‐set necessary for success in the dynamic business landscape. While existing literature acknowledges the importance of entrepreneurial education, there is a lack of specific guidance on how courses can be designed to effectively cultivate entrepreneurial abilities among students considering vital elements. This research addresses this gap by focusing on the interactions among elements of entrepreneurial education course design. The study employs a systems approach, utilising the Total Interpretive Structure Model (TISM) and Matrice d'Impacts Croisés‐Multiplication Appliquée à un Classement (MICMAC) to analyse the hierarchical relationships among factors. Using the nominal group technique (NGT), driving elements are identified, highlighting their crucial role in shaping the overall educational experience. The major findings highlight demonstration of start‐up success stories and enhancement of networking skills as the most crucial elements of entrepreneurial education. The leadership capabilities, self‐assessment against odds and business feasibility analysis were found to be the most dependent elements. The results, along with the practical implications of the research given at the end, enhance the robustness and applicability of the results, providing actionable insights for educational policy makers, institute academicians and content developers. This research contributes to the ongoing discourse on entrepreneurial education by offering a structured approach to designing course structures that foster entrepreneurial skills and innovation among students, thus empowering the next generation of entrepreneurs and business leaders. Context and implications Rationale for this study: The study provides actionable insights for course designers, policy makers and educators, identifying key factors to improve entrepreneurial education through a systems approach and analysing their interrelationships. Why the new findings matter: The findings highlight key factors influencing educational effectiveness, offering actionable insights to improve course design, enhance student outcomes, and foster essential skills for success in dynamic environments. Implications for policy makers, academicians and content developers: The study offers valuable implications for policy makers, academicians and content developers in designing entrepreneurial education programmes. By identifying key driving elements, such as start‐up success stories and networking skills, the research provides a clear framework for prioritising course components. Policy makers can use these insights to shape educational policies, while academicians and content developers can create more targeted, effective curricula that enhance student outcomes. The study encourages further exploration of regional variations and the integration of technology in course delivery, offering a pathway for future research to refine and adapt entrepreneurial education to diverse global contexts and evolving educational trends.
Exploring technology adoption in dairy farms: interactive management perspective Hans Kaushik, Rohit Rajwanshi Journal of Science and Technology Policy Management, 2025 Purpose Global research indicates that technology adoption in agribusiness can significantly enhance performance and operational efficiency. Despite being the world’s largest producer and consumer of milk, India’s dairy sector faces challenges such as low per-herd yield, limited technology adoption, weak health monitoring systems and inefficient farm management. This study aims to identify and analyze the key factors influencing technology adoption in Indian dairy farming using a systems-based approach, and to develop a structured model to support decision-making and promote strategic improvements. Design/methodology/approach Using Interactive Management (IM) as a part of systems approach is a set of tools which uses the democratic way of consensus building to develop ideas, solve problems, facilitate decision-making and helps in policy planning. Findings The major findings of FISM-FMICMAC indicate the role of government and regulatory body as the major driving element to immediately work upon funding support, spreading technology awareness and designing suitable milk pricing policy to ultimately create interest among the dairy farm owners towards adoption of technology. On the basis of six dimensions – government, information sources, personal traits, agents, funding source and targets to be achieved; the systems decision tie line can serve as the way to maximize operational efficiency of dairy farms through technology adoption. Practical implications The discussion section includes the points of practical implications of the study. The options profiles provide various ways to look upon the performance improvement and bringing operational efficiency of dairy farm units both from the business perspective and farmers welfare as well. Social implications With enhancing efficiency and productivity of dairy farms, it can uplift rural livelihoods, reduce poverty and empower marginalized communities involved in dairy farming. Improved technology can bridge urban–rural divides by integrating modern practices, enhancing food security and fostering sustainable development. Moreover, findings could influence policy, promoting equitable access to resources and bolstering India’s agricultural sector, thereby contributing to national economic growth and social welfare. Originality/value This study offers a novel contribution by applying a systems-based IM approach to explore the complex factors influencing technology adoption in Indian dairy farming—a sector with limited prior research in this context. By developing a structured model based on expert consensus and Fuzzy interpretive structural modeling (FISM), the study provides new insights into the interrelationships among these factors and offers actionable strategies to improve adoption outcomes. This work bridges a critical gap in existing literature and has practical relevance for policymakers, technology providers and dairy practitioners.
FISM-FMICMAC-based analysis of challenges affecting potato processing by SMEs in India Jaspreet Kaur, Sumita Srivastava, Hans Kaushik Journal of Agribusiness in Developing and Emerging Economies, 2025 PurposeIndia has been cultivating potatoes for more than 300 years. Potato is now among the most widely grown crops due to its affordability as a cheap source of food and energy. Small and Medium Enterprises (SMEs) have the opportunity to grow their businesses and satisfy consumer demand by adding to the variety of potato-based products available in the Indian market. This study identifies and analyses the challenges faced by SMEs in potato processing.Design/methodology/approachThe study used a two-phase qualitative methodology. The first step employed an exploratory research design to obtain data from 150 food processing entrepreneurs in North India was collected which resulted in the identification of 11 major challenges they face. The second step involved two phases: (1) the development of the Fuzzy Interpretive Structural Modelling (FISM) and (2) the application of the Fuzzy Cross-impact matrix multiplication to classification (FMICMAC). Domain experts participated in the development of the hierarchy-based contextual relationship among the identified challenges and categorizing them based on their driving and dependence power.FindingsOf the 11 challenges identified, low education level and stringent laws were the most prominent driving challenges, and lack of value-added products was the most dependent challenge.Research limitations/implicationsBased on the obtained results, the study proposes the preliminary policy framework to facilitate policy planners to work towards minimizing the impact of challenges and support growth for food processing SMEs in India. Future research can use SEM to validate these results.Originality/valueThe paper is the outcome of the original research conducted by the authors.
Modeling the challenges of technology adoption in dairy farming Hans Kaushik, Rohit Rajwanshi, Artee Bhadauria Journal of Science and Technology Policy Management, 2024 Purpose The global research evidences indicate that the technology adoption in case of agribusiness has a potential to enhance the performance and bring operational efficiency. India is the world’s largest producer as well as consumer of milk but struggles with yield per cattle, overall productivity, low rate of technology acceptance and adoption, health detection of milching units, animal data recording and presence of dairy products in the global market. The purpose of this study is to focus on identifying the challenges of technology adoption in dairy farms and constructing a hierarchical model using soft systems methodology. Design/methodology/approach This study uses nominal group technique-based discussion with domain experts and personal interviews with dairy farm owners/managers for the identification of challenges, fuzzy interpretative structural modeling as well as FMICMAC to develop a hierarchical model of challenging elements and to divide the identified elements into four categories based on the dominance of driving-dependence power. Findings This research has developed a list of 12 challenges affecting the technology adoption in a dairy farm business unit, identified through the personal interviews with 60 dairy farms across three highest milk-producing states of India in terms of annual milk output – Haryana, Punjab and Uttar Pradesh. Lack of government support followed by lack of educational opportunities in dairy-based education were found as the most crucial and high driving challenges, whereas high cost, huge investment and low acceptance of decision-maker were found as the most dependent challenges of technology adoption. Research limitations/implications This research is one step ahead of interpretive structural modeling that considers the fuzzy-based dominance in the model to showcase the degree of relationship along with its existence, but it lacks to statistically validate the findings using techniques like SEM. Practical implications This paper has developed a list of challenges in adoption of technology along with their inter-relationships to highlight the required focus challenge that drives or is dependent on the other challenges. The goal is to bring performance improvement and assist Indian dairy farm business stakeholders or decision-makers in formulating strategic and action plans and help policy planners to make favorable policies based on the understanding of contextual relationship between challenges. Social implications In Indian context, dairy is an important part of agriculture sector, and milk is an essential item that facilitates income generation to small and rural households and a source item for several other businesses and activities. The results of this research suggested the policy planners and government to ensure subsidized and insured technologies, training support and facilities, educational opportunities and efforts for promotion of technology adoption among dairy farmers. The suggestions are purely on the basis of the relevance of challenges in the hierarchy and can play a significant role in improving the level of technology adoption and can ultimately uplift the social and economic well-being from micro-level of farmers to macro-stage concerning economic development of India. Originality/value To the best of the authors’ knowledge, this study is purely original and outcome of the research conducted by authors.
Examining the Linkages of Technology Adoption Enablers in Context of Dairy Farming Using ISM-MICMAC Approach Hans Kaushik, Rohit Rajwanshi Research on World Agricultural Economy, 2023 In the context of agribusiness, technology and innovation have led to major transformations in many countries. Precision dairy farming technologies enable cost optimization, quality control, waste reduction, achieving economies of scale, efficiency in dairy resource utilization, improvement in productivity, standardized processes, enhanced decision support system and overall farm management. Despite being an overall production-wise rich country, India’s dairy sector lacks in terms of yield per cattle, overall dairy farm output, effective herd management and lack of effective technology acceptance and implementation. With the help of NGT based outcome, this research is an attempt to showcase the enablers of technology adoption in dairy farming and how these enablers interact with each other in a hierarchical form using ISM methodology. Experience in the dairy business, competitive pressure and digital literacy were found as the most crucial and driving enablers. However, agreeableness and managerial interest were found as the most dependent enablers of technology adoption. The interpretations drawn from the model can help the decision makers, policy makers and farmers not only in India but can serve as the base for other nations dependent upon agriculture to understand the inter dependency among enablers and suggestions to plan and channel technology adoption by focusing upon critical ones.
Building capabilities for responsible AI in finance: insights from Fuzzy ISM J Kaur, H Kaushik, S Swami, S Srivastava, B Kumari Journal of Ambient Intelligence and Humanized Computing, 1-22 , 2026 2026
Experiential learning, employability, and entrepreneurial intentions in Indian higher education: A systematic review and policy perspective N Suryavanshi, S Srivastava, S Khemani, H Kaushik Forum for Education Studies 4 (1) , 2026 2026
Understanding Digital Nudges in E-Commerce: An Interpretative Structural Modeling-Based Analysis of Impulse Buying Behavior T Parvez, H Kaushik Journal of Emerging Markets and Management 2 (1), 92-108 , 2026 2026 Citations: 1
Interactions among cost of quality factors in Indian manufacturing: An interpretive structural modeling approach H Kaushik, A Pandey Design+ 2 (4), 025110018 , 2025 2025
Exploring technology adoption in dairy farms: interactive management perspective H Kaushik, R Rajwanshi Journal of Science and Technology Policy Management , 2025 2025 Citations: 4
Examining Interactions among Challenges of Green Financing in India S Seth, H Kaushik Ecological Civilization 2 (4), 10012 , 2025 2025 Citations: 1
FISM-FMICMAC-based analysis of challenges affecting potato processing by SMEs in India J Kaur, S Srivastava, H Kaushik Journal of Agribusiness in Developing and Emerging Economies , 2025 2025 Citations: 3
Analysing the total interactions amid elements of entrepreneurial education S Srivastava, H Kaushik, S Khemani, J Kaur Review of Education 13 (1), e70055 , 2025 2025 Citations: 10
Linkages among AI elements affecting quality and value of education S Seth, H Kaushik International Journal of Changes in Education 2 (3), 172-180 , 2025 2025 Citations: 7
Modeling the challenges of technology adoption in dairy farming H Kaushik, R Rajwanshi, A Bhadauria Journal of Science and Technology Policy Management 15 (6), 1455-1480 , 2024 2024 Citations: 38
Education’s primary motive of overall human development in India: case based perspective of Dayalbagh educational institute H Kaushik Forum for Education Studies 2 (4), 1517-1517 , 2024 2024 Citations: 3
A study on the associations among the factors influencing digital education with reference to Indian higher education H Kaushik, S Kaushik Education and Information Technologies 29 (12), 14999-15023 , 2024 2024 Citations: 13
A CLD based approach to discover the boundaries between music and satisfaction in work life H Kaushik Journal of Integrated Social Sciences and Humanities , 2024 2024 Citations: 3
Examining the Digital Landscape: Identifying the Key Factors Influencing the Preference For Digital Newspapers in Agra S SETH, KS SWARUP, H KAUSHIK Periodic Research 12 (4) , 2024 2024
CURRENT SITUATION AND FUTURE DIRECTIONS FOR TECHNOLOGY ADOPTION IN INDIAN DAIRY FARMING H KAUSHIK Futuristic Trends in Management Book 22 3, 138-153 , 2024 2024
Advocating ‘eco-village’for sustainable development. The dayalbagh way of life H Kaushik Eco Cities 5, 2773 , 2024 2024 Citations: 2
Examining the linkages of technology adoption enablers in context of dairy farming using ism-micmac approach H Kaushik, R Rajwanshi Research on World Agricultural Economy 4 (4), 68-78 , 2023 2023 Citations: 16
A study on enablers and challenges in adoption of technology by north Indian dairy farms a systems approach H KAUSHIK Dayalbagh Educational Institute , 2023 2023
ISM-MICMAC-based study on key enablers in the adoption of solar renewable energy products in India R Agarwal, A Bhadauria, H Kaushik, S Swami, R Rajwanshi Technology in Society 75, 102375 , 2023 2023 Citations: 46
An ISM-based study on the interactions among technology adoption drivers in dairy farming H Kaushik, R Rajwanshi, A Bhadauria 2023 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
ISM-MICMAC-based study on key enablers in the adoption of solar renewable energy products in India R Agarwal, A Bhadauria, H Kaushik, S Swami, R Rajwanshi Technology in Society 75, 102375 , 2023 2023 Citations: 46
Modeling the challenges of technology adoption in dairy farming H Kaushik, R Rajwanshi, A Bhadauria Journal of Science and Technology Policy Management 15 (6), 1455-1480 , 2024 2024 Citations: 38
Examining the linkages of technology adoption enablers in context of dairy farming using ism-micmac approach H Kaushik, R Rajwanshi Research on World Agricultural Economy 4 (4), 68-78 , 2023 2023 Citations: 16
A study on the associations among the factors influencing digital education with reference to Indian higher education H Kaushik, S Kaushik Education and Information Technologies 29 (12), 14999-15023 , 2024 2024 Citations: 13
Examining the interlinkages among the virtual experiential technique’s influencing factors in the ecommerce industry: An ism and micmac approach A Bhadauria, R Rajwanshi, R Agarwal, H Kaushik Ramanujan International Journal of Business and Research 7 (2), 67-82 , 2022 2022 Citations: 11
Analysing the total interactions amid elements of entrepreneurial education S Srivastava, H Kaushik, S Khemani, J Kaur Review of Education 13 (1), e70055 , 2025 2025 Citations: 10
Linkages among AI elements affecting quality and value of education S Seth, H Kaushik International Journal of Changes in Education 2 (3), 172-180 , 2025 2025 Citations: 7
Exploring technology adoption in dairy farms: interactive management perspective H Kaushik, R Rajwanshi Journal of Science and Technology Policy Management , 2025 2025 Citations: 4
FISM-FMICMAC-based analysis of challenges affecting potato processing by SMEs in India J Kaur, S Srivastava, H Kaushik Journal of Agribusiness in Developing and Emerging Economies , 2025 2025 Citations: 3
Education’s primary motive of overall human development in India: case based perspective of Dayalbagh educational institute H Kaushik Forum for Education Studies 2 (4), 1517-1517 , 2024 2024 Citations: 3
A CLD based approach to discover the boundaries between music and satisfaction in work life H Kaushik Journal of Integrated Social Sciences and Humanities , 2024 2024 Citations: 3
A study on enablers and challenges in adoption of technology by north Indian dairy farms a systems approach H Kaushik 2020 Citations: 3
Advocating ‘eco-village’for sustainable development. The dayalbagh way of life H Kaushik Eco Cities 5, 2773 , 2024 2024 Citations: 2
Dairy farming in India and role of technology adoption in dairy sector. 52-57 H Kaushik, R Rajwanshi Journal Homepage: http://mbsresearch. com, Email: mbsresearchp@ gmail. com … , 2022 2022 Citations: 2
Understanding Digital Nudges in E-Commerce: An Interpretative Structural Modeling-Based Analysis of Impulse Buying Behavior T Parvez, H Kaushik Journal of Emerging Markets and Management 2 (1), 92-108 , 2026 2026 Citations: 1
Examining Interactions among Challenges of Green Financing in India S Seth, H Kaushik Ecological Civilization 2 (4), 10012 , 2025 2025 Citations: 1
An ISM-based study on the interactions among technology adoption drivers in dairy farming H Kaushik, R Rajwanshi, A Bhadauria 2023 Citations: 1
Advocating ‘eco-village’for sustainable development: The dayalbagh way of life. Eco Cities. 2024; 5 (1): 2773 H Kaushik Coast. Manag , 2013 2013 Citations: 1
Building capabilities for responsible AI in finance: insights from Fuzzy ISM J Kaur, H Kaushik, S Swami, S Srivastava, B Kumari Journal of Ambient Intelligence and Humanized Computing, 1-22 , 2026 2026
Experiential learning, employability, and entrepreneurial intentions in Indian higher education: A systematic review and policy perspective N Suryavanshi, S Srivastava, S Khemani, H Kaushik Forum for Education Studies 4 (1) , 2026 2026
