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Social capital as a catalyst for leadership excellence: the mediating role of institutional reputation in Indian higher education
Drawing upon social capital theory, this study aims to investigate the impact of social capital on leadership effectiveness through mediating role of institutional reputation in higher educational institution. Data were collected from 310 academic leaders, including HODs, area chairs, and deans, using a structured online questionnaire. The sampling technique used was purposive sampling. Partial least squares structural equation modelling (PLS-SEM) was employed for analysis. The results indicate a significant positive relationship between social capital and leadership effectiveness, highlighting the importance of interpersonal trust, collaborative culture, and professional networks in influencing strategic vision, decision-making, and transformational leadership skills. Moreover, institutional reputation is identified as a partial mediator in this relationship, indicating that robust social capital not only improves direct leadership outcomes but also enhances the perceived credibility and prestige of institutions, hence strengthening leadership legitimacy and influence. This study enhances the sparse empirical literature linking social capital and leadership within the Indian higher education sector and provides pragmatic insights for policymakers and institutional leaders aiming to cultivate trust-based cultures and reputational capital. The study concludes with ideas for cultivating social capital via inclusive governance, faculty involvement, and external collaborations to improve leadership efficacy and ensure sustained institutional success. Copyright 2025 Inderscience Enterprises Ltd. -
Technopedagogy in teacher education: exploring challenges and possibilities
Digital technologies allowed teachers to overcome spatial and temporal limitations in education, particularly during the COVID-19 pandemic-imposed restrictions. While access to technological resources proved beneficial, teachers faced initial challenges. It is crucial to address the significance of digital education training in teacher education institutions, particularly in implementing the Integrated Teacher Education Programme based on the National Education Policy 2020 in India. This study explores approaches to techno-pedagogical skills in teacher education in Kerala, India, and the potential solutions to bridge the digital gap between training and teaching in the classroom. The researchers have used qualitative methods to gather and analyse data, including archival research and interviews with teacher educators and student teachers in the Bachelor of Education Programme. The findings indicate an urgent need for infrastructural upgrades and continuous professional development practices. Copyright 2025 Inderscience Enterprises Ltd. -
A systematic literature network analysis approach to assess the topology of modern-era supply chain risk management research
Over the past decade, there has been a significant increase in research on supply chain risk management (SCRM). This review uses a systematic literature network analysis to provide an overview of the SCRM research landscape, with emphasis on optimisation approaches, mathematical modelling tools, and the identification of seminal studies and relevant keywords used in SCRM research. However, there are few quantitative models that represent the relationship between supply chain surplus, sustainability, and resilience in SCRM literature. The study has limitations since it only sources from a single database, and more clarity is needed on the effectiveness of optimisation in SCRM, which can be further evaluated through case studies and empirical studies. Copyright 2025 Inderscience Enterprises Ltd. -
Brand protection in Indias digital economy: trademarks vs. competition regulation
The digital economy in India has significantly impacted brand protection, with the need for robust trademark protection intensifying to combat issues like counterfeiting, cybersquatting, and unauthorised use. Competition regulation aims to ensure fair market practices, prevent monopolistic behaviour, and foster innovation. This study examines the legislative and judicial framework governing trademarks in India, highlighting key provisions under the Trade Marks Act, of 1999, and their application in the digital context. It also assesses the role of the Competition Commission of India (CCI) in addressing anti-competitive practices. The study identifies tensions and synergies between trademark protection and competition regulation, examining how digital platforms, e-commerce, and social media influence these legal domains. Comparing the study with jurisdictions like the EU and the USA, the paper proposes a balanced approach that harmonises trademark enforcement with competition law principles to ensure brand protection efforts do not stifle competition and innovation in Indias burgeoning digital economy. Recommendations include policy reforms, enhanced cooperation between regulatory bodies, and the adoption of technology-driven solutions to safeguard brands while promoting a competitive and fair digital marketplace. Copyright 2025 Inderscience Enterprises Ltd. -
Predicting emotional intelligence, creative performance and knowledge management in higher education using multiple regression
Higher education institutions are paramount in emerging nations like India. Post-globalisation, India witnessed the growth of HEIs, especially in the private sector. However, today most of the institutions are struggling for their existence. One of the most vital reasons for such a staggering performance is the absence of creativity. It will not be an exaggeration to say that the present era is the era of creativity and performance and organisations that cant perform are bound to perish. Creativity can be nurtured and yield success only if it is supported by the emotional intelligence (EI) of the employees and knowledge management (KM) processes. The current paper explored the nexus between emotional intelligence, knowledge management processes and creative performance in HEIs in India and implied that though emotional intelligence affects creative performance, the impact gets manifolded in the presence of the knowledge management process. Copyright 2025 Inderscience Enterprises Ltd. -
Artificial intelligence in higher education: the challenges, opportunities and the road ahead
This paper investigates to deliver an overview of literature from 2012 to 2023 on the phenomena of implementing artificial intelligence in education (AIEd). With the help of the Scopus indexing database, data from 441 articles were extracted, analysed based on the keywords and preliminary reading and synthesised according to explicit inclusion and exclusion criteria and article compilation was on the parameters of scientific procedures and rationales for systematic literature review protocol (SPAR4SLR). Drawing on the recent literature depicts that the inception of artificial intelligence in education is still in its initial stage and much research is required. This article implies that although there are benefits and challenges talked about in the article delving into the application of AIEd in higher educations system of teaching and learning that shall lead the education system to newfound intelligence and automation, however, things are at the very initial stage and filled with conjectures. The findings demonstrate that the artificial intelligence-based teaching and learning phenomenon has a bright future as educational institutes understand its upcoming impact. The greatest challenge for educational institutes now is to start planning, designing, developing and implementing artificial intelligence-based courses for multidisciplinary and holistic training for future employees. Copyright 2025 Inderscience Enterprises Ltd. -
Scientific competence and acquisition challenges in education managed by analytics
Integration of instructional, informational, and communication technology underpins modern higher education. After decades without computer networks, these technologies have transformed learning. E-learning has transformed the education sector, solving its problems. The similarities between technology and cognition make this change noteworthy. Artificial intelligence-inspired model-based reinforcement learning lets agents predict states and outcomes across activities and settings to modify their behaviour. The human brain has similar mechanisms, especially in model selection, which is a fascinating mystery. This study examined the brains model selection process and found that sensory prediction errors motivate the brain to choose between computational models. The theory was contrasted with internal modelling and incentive predictive performance to show how prediction errors influence computational model selection. The brain can choose an internal validation learning model based on incentive prediction mistakes, as empirical evidence demonstrates that the policy gradient method matches these models. These models were intended to address higher education issues like administration, academic delivery, instructional design, and ethics. The report also suggested that e-learning could help solve industry issues like student concentration on campuses, brain drain, and resource shortages. This research shows how technology can change higher education and the future of learning. Copyright 2025 Inderscience Enterprises Ltd. -
A case study on challenges, opportunities and sustainable development of waste management in India
Waste management solutions for a country as large and densely populated as India with several infrastructure bottlenecks required a thorough understanding of the local context, waste generation patterns, and available infrastructure. Waste Ventures India invested in research and development to develop innovative waste management solutions to address challenges faced in India. By collecting and analysing data on waste generation patterns and available infrastructure, the company was able to design waste management systems that were tailored to Indian system. This case study highlights the importance of using evidence to inform policies and practices in waste management. Companies and governments can use data to design waste management systems that are effective, sustainable, and tailored to the needs of specific communities. This case guides analysis on how to ensure value for the stakeholders; how to identify benefits on a global and local front; and was the business scalable to ensure sustained impact. Copyright 2025 Inderscience Enterprises Ltd. -
Digital entrepreneurship in modern techno world: mapping the literature and future research agenda
Digital entrepreneurship (DE) leverages internet services for business and financial gain. This study reviews past research, highlighting trends and gaps. Using the POWER framework and PRISMA techniques, 733 articles were analysed with VOSViewer and manual text analysis. Key findings include 2023 having the most publications, the UK leading in published articles, the journal Technological Forecasting for Social Change having the highest impact, and A. Ghezzi being the most influential author. Trending topics are entrepreneurs, digital entrepreneurship, and sustainability. Emerging themes include digital entrepreneurship ecosystems, opportunities for women and education, entrepreneurial funding, government adoption, and digital technologies. Future research should focus on entrepreneurial education, AI innovations, digital venture performance, and IoT adoption. Frameworks like lean start-up, business model innovation, and value creation can enhance DE performance, with further exploration encouraged by the identified future research agenda. Copyright 2026 Inderscience Enterprises Ltd. -
Digital marketing effectiveness and success factors for small and medium enterprises
Digital marketing is crucial for the organisation success. Therefore, this paper explores how research in digital marketing can enhance marketing strategies, drive consumer engagement and boost revenue generation. It highlights how businesses of varying sizes can leverage these insights to thrive in the competitive online market. The study conducts a bibliometric analysis of digital marketing research, tracing its evolution from inception to present day. Focusing on authorship patterns, international collaborations, and geographical influences, it assesses the potential future impact of research in this area. Using the Scopus database, 1,126 relevant articles were selected for detailed analysis. Employing the R Software and bibliometric package, an extensive scientific mapping analysis was performed. The findings present a thorough exploration of author contributions, source evaluations, document analytics, cluster mapping-citations, and collaborative networks. These findings provide valuable guidance for researchers and practitioners interested in emerging domain of digital marketing. Copyright 2026 Inderscience Enterprises Ltd. -
A frequent itemset generation approach in data mining using transaction-labelling dynamic itemset counting method
A significant amount of data is generated, gathered, stored, and evaluated in real-world applications as a result of technology breakthroughs. Data mining (DM) combines a number of disciplines to efficiently discover hidden patterns from vast archives of historical information. To significantly reduce complexities associated with data, the proposed method, transaction-labelling dynamic itemset counting (TL-DIC), utilises a labelling approach on the given transactional database to logically arrange and process the underlying transactions. This method generates frequent itemsets thereby improving the performance of conventional dynamic itemset counting (DIC) method. Based on experimental findings, the average scan count in DIC and M-Apriori is 4% and 3.66%, respectively higher than TL-DIC, for different support counts. TL-DIC executes 20% and 16% quicker than DIC and M-Apriori, respectively, in terms of execution time. These results validate the proposed approachs efficacy in creating frequent itemsets from large datasets. Copyright 2025 Inderscience Enterprises Ltd. -
Secured forensic image analysis by optimised iterative model with random consensus approaches
Future measurements, software, and scalability testing related to cloud performance are required for forensic image scalability (FIS) optimisations and advancements. An advanced iterative reconstruction model and consensus mechanism must be used to quantitatively evaluate image quality in any blockchain framework since this will have a direct impact on the security and usability of the framework. This work addresses these problems by presenting a fast and efficient forgery detection system based on optimal security, feature extraction, and pre-processing. This will render conventional media security and forensic techniques meaningless. In this work, a random sample consensus (RSC) method is proposed for the analysis of FIS. To ensure that the architecture is as strong and secure as possible, the iterative reconstruction model (IRM) is employed. Initially, one may consider channel processing to be a form of database picture pre-processing. One perspective states that the enhanced chicken swarm optimisation (ECSO) algorithm is used to advance the scaling settings to balance invisibility and power. This RSCs threshold setting reduces the number of excluded matches as well as the root mean square error (RMSE). Enhancement of scalability as well as picture reconstruction demonstrate the utility of the proposed technology. The simulation findings on multiple retinal image datasets demonstrate that the proposed method further enhances accuracy matching by 10.56% and rate of progress by 30% on average compared with the RSC-IRM strategy. 2025 Inderscience Enterprises Ltd. -
Redefining digital transformation in service supply chain: the missing piece of big data analytics
The study delves into the transformative role of big data analytics (BDA) in supply chain management within the service industry, employing the PRISMA framework to systematically review literature published between 2011 and 2024. A comprehensive search across multiple databases identified 286 relevant studies, which were meticulously analysed through bibliometric techniques. Keyword and network analyses, conducted using VOSViewer, revealed critical research linkages, prominent technologies, and thematic patterns within the domain. The findings underscore the pivotal role of technology integration in enhancing the efficiency of service supply chains, with a particular emphasis on emerging technologies such as blockchain, artificial intelligence, and machine learning. By highlighting the interconnectedness of authors, identifying key themes through keyword analysis, and uncovering research patterns through frequency analysis, the study provides valuable insights into the integration of BDA, ultimately contributing to the advancement of supply chain management in the service industry. Copyright 2025 Inderscience Enterprises Ltd. -
Examining the impact of uncertainty on business performance via strategic cost management adoption and implementation: the case of agro-based industries in and around Punjab, India
Dynamic business environments require a change to survive. Strategic cost management (SCM) must re-conceive its future as new, improved, or reformed under opportunities and tough demands. Traditional cost management may not be adaptable to business turbulence. Increasing shareholder and customer demand, rapid information and technology improvements in manufacturing, and worldwide market rivalry with antiquated tools can be difficult. SCM goes beyond cost reduction and includes revenue generation and competitive advantage. This article examines the relationship between adopting and applying SCM approaches and company success in agro-based industrial businesses. Empirical survey data from agro-based industrial companies in Punjab were analysed using multivariate data analysis. According to contingency theory, size, technology, total productivity maintenance, strategy, and organisation culture are factors related to strategic cost management. All dependent factors, including control variable size, favourably affected SCM acceptance and utilisation, which has a pragmatic effect on agro-based businesses. SCM utilisation also mediated performance. 2025 Inderscience Enterprises Ltd. -
Attitude and intention to adopt FinTech services by Indian rural households
FinTech has been a game changer for many business players. Due to financial technology, there is a paradigm shift in how finance-oriented companies operate today. The study aims to identify the factors driving FinTech adoption amongst rural households. A questionnaire with five points Likert scale has been used for data collection. The technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) are used for this study. The study found that factors such as perceived trust, perceived usefulness and perceived risk have a major say in adopting FinTech services. The study is a breakthrough for FinTech companies in identifying factors that induce rural users to adopt FinTech. The study helps to improve the existing FinTech apps to attract and tap the rural segments by focusing on these aspects. Copyright 2026 Inderscience Enterprises Ltd. -
Examining the traceability in agriculture supply chain using blockchain technology
Blockchain technology is changing the supply chain face by removing the trust-related issues among the vendors and customers. The agriculture supply chain consists of products from the farms to the customers. In this process, traceability plays a vital role in tracking and tracing the products in the entire supply chain. This research aims to identify traceability factors for adopting blockchain using stakeholders theory. Five factors privacy, decentralised database, reduced transaction costs, secured database, shared database are identified from the extensive literature review and the influence of these factors is measured on the blockchain adoption and traceability in agriculture supply chain. The results of the study show a positive influence of these five factors on the blockchain adoption and traceability in agriculture supply chain. The study will motivate the managers of agriculture supply chain for the blockchain adoption for enhancing the traceability. Copyright 2025 Inderscience Enterprises Ltd. -
An ARDL approach: case study of COVID-19 death and insurance stock returns
The movement of investment vehicles helps investors communicate as a stock market shield via a diverse portfolio. The COVID-19 outbreak had impacted the India along with other countries across the globe. The diseases progression and economic impact are highly uncertain. The current study is a novel effort to untangle the dynamic relationship between COVID-19 death and returns of NSE-listed life insurance stocks. We look at COVID-19 death data as well as returns from SBI Life, HDFC Life, and ICICI PRU from April 2020 to July 2021, when pandemic was the leading cause of death. Using the autoregressive distributed lag (ARDL) model technique, we discover that COVID-19 death has no dynamic relationship with the returns of selected life insurance stocks. In conclusion, our findings will provide stockholders, investment advisors, and policy experts with significant foresight into guaranteeing returns on life insurance stocks free from uncertain calamities such as COVID-19. Copyright 2025 Inderscience Enterprises Ltd. -
Determinants of online consumer buying behaviour: an empirical study on apparel retail
The purpose of this paper is to study the customer attitude towards apparel segment available online. A questionnaire is framed on the basis of extensive literature review and through which 654 valid responses were received from the online survey. The objective of the study has been fulfilled with the help of internal consistency reliability analysis, validity analysis (Cronbachs alpha and CFA) of the factors identified. Based on the data collected through the primary survey, it has been identified that overall convenience, price attribute, website quality, product brand image and perceived risk are the major determinants of customer online purchase intention. The study has many implications for online retailers, strategists, internet marketers and online shoppers in India. The majority of the shoppers in India seek offers and discounts instead of brand or high quality. The study reveals that online retailers may target the appropriate socio-economic background for the success. Copyright 2025 Inderscience Enterprises Ltd. -
Influence of advertisements controversial element and emotional appeal on customer intention to buy
This paper studies the influence of an advertisements controversial element and emotional appeal on the customer intention to buy. The research paper is both exploratory and conclusive. S-O-R model was used for the study. Convenience sampling was used to draw a sample of 264 respondents. The data were tested for reliability, correlation and regression. The advertisements controversial element and emotional appeal significantly influence the customers intention to buy. The controversial element and the emotional appeal are positively correlated with the customer intention to buy. The research was done within a limited time and resources. The future research paper can include more moderators in the research model. The research paper provides a better understanding of the emotional appeal and the controversial element of an advertisement on customer intention to buy. 2025 Inderscience Enterprises Ltd. -
Entrepreneurial challenges of transgender entrepreneurs in India
Social exclusion has impeded transgender individuals to enter mainstream society and curbing them to start a business venture. Sporadic transgender individuals have paved their way to start the business venture. This study aims to explore the entrepreneurial challenges faced by transgender entrepreneurs. Twenty transgender entrepreneurs who have relinquished begging and commercial sex work were interviewed. The grounded theory analysis has revealed six significant categories: financial resources, competitors, human resources, marketing issues, natural calamities, and transphobia. The participants expressed that transphobia, and financial resources were highly challenging to start a business venture. These findings extend our understanding of their challenges beyond the current knowledge of cisgender entrepreneurs. Finally, the limitation of the study is enunciated. Copyright 2025 Inderscience Enterprises Ltd.