Journal Articles

Permanent URI for this collectionhttp://10.0.100.92:4000/handle/123456789/21

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A comparative study on the moderating impact of renewable energy and innovation on environmental quality
(Natural Resources Forum, 2025-05) Pal, Shreya;; Villanthenkodath, Muhammed Ashiq; Ansari, Mohd Arshad
This study explores the complex interactions between renewable energy production, innovation, economic growth, institutional quality, economic globalization, and CO2 emissions in OECD countries and emerging economies from 1996 to 2021. Results from Driscoll–Kraay standard error and feasible generalized least square reveal distinct trends: renewable energy production leads to increased CO2 emissions in emerging economies but significantly reduces emissions in OECD countries. Besides, residential and non‐residential innovation, along with total innovation, show similar effects. Notably, technology‐moderated renewable energy production effectively lowers CO2 emissions in both country groups. Similarly, economic growth enhances environmental quality in both sets of countries. However, institutional quality needs improvement in emerging economies, while current levels suffice in OECD nations to maintain environmental quality. Moreover, the study emphasizes the importance of considering globalization's impact on CO2 emissions, advocating for international agreements to leverage globalization for environmental benefits. Overall, these findings provide valuable insights for shaping renewable energy policies, fostering innovation, promoting economic growth, enhancing institutional quality, and harnessing globalization efforts to reduce CO2 emissions and enhance environmental quality
A Consumer Typology Based on Celebrity Endorsement Factors
(FIIB Business Review, 2022-08-26) Arora, N; Prashar, S; Vijay, T.S; Parsad, Chandan
Celebrity endorsement is one of the most prominent advertising and promotional strategies used by organizations to seek consumer attention. It has been examined extensively by academicians in the last few decades. Still, existing studies have not focused much on understanding the typology of shoppers related to specific celebrity-related factors. This study endeavours to segment the consumer market and develop corresponding profiles based on shoppers’ importance to various celebrity factors. Survey-based research was undertaken using the mall-intercept technique, and data were collected from shoppers in India. Cluster and correspondence analysis techniques were used on the responses received from 232 survey participants. The results suggested the presence of three distinct clusters, namely ‘Indifferent-to-celebrity Buyer’, ‘Fascinated Buyer’ and ‘Star Power Buyer’. The findings suggest the clusters—fascinated buyers and star power buyers—are influenced by different components related to celebrity endorsement. The present study contributes to the marketing and celebrity endorsement literature by offering an insight into the need of identifying the differences among the consumers with respect to their propensity of acceptance of a celebrity endorser. These results would help managers in mapping them to target consumer segments with an appropriate celebrity effectively.
Adaptive selling, anxiety and emotional exhaustion among salespeople
(Journal of Marketing Theory and Practice, 2025) Sharma, Aditi; Chawla, Vaibhav; Guda, Sridhar; Rangarajan, Deva; Swain, Anjan Kumar
The need to constantly adapt to the changes in the business environment and selling situations places enormous demands on salespeople. Applying the Job Demands-Resources theory, this study examines the negative impact of adaptive selling on salespeople. Using survey data from 384 sales professionals in different industries in an emerging market, we find that adaptive selling directly increases cognitive anxiety among salespeople. Furthermore, our research suggests that cognitive anxiety mediates the relationship between adaptive selling and emotional exhaustion. However, our study did not find support for the direct impact of adaptive selling on emotional exhaustion, suggesting that in some instances, the need to practice adaptive selling by itself might motivate salespeople to get more involved. Our study also demonstrates that salesperson perseverance reduces the negative impact of adaptive selling on cognitive anxiety, suggesting a moderating effect. The study concludes by providing theoretical and practical implications.
Adaptive selling, anxiety and emotional exhaustion among salespeople
(Journal of Marketing Theory & Practice, 2025) Sharma, Aditi; Chawla, Vaibhav; Guda, Sridhar; Rangarajan, Deva; Swain, Anjan Kumar
The need to constantly adapt to the changes in the business environment and selling situations places enormous demands on salespeople. Applying the Job Demands-Resources theory, this study examines the negative impact of adaptive selling on salespeople. Using survey data from 384 sales professionals in different industries in an emerging market, we find that adaptive selling directly increases cognitive anxiety among salespeople. Furthermore, our research suggests that cognitive anxiety mediates the relationship between adaptive selling and emotional exhaustion. However, our study did not find support for the direct impact of adaptive selling on emotional exhaustion, suggesting that in some instances, the need to practice adaptive selling by itself might motivate salespeople to get more involved. Our study also demonstrates that salesperson perseverance reduces the negative impact of adaptive selling on cognitive anxiety, suggesting a moderating effect. The study concludes by providing theoretical and practical implications
An asymmetric analysis of overall globalization on financial inclusion
(Journal of Financial Economic Policy, 2025-02-21) Villanthenkodath, Muhammed Ashiq; Pal, Shreya
Purpose Financial inclusion is acknowledged as a critical facilitator of the United Nations Sustainable Development Goals agenda for 2030. Therefore, this study aims to examine the asymmetric role of overall globalization on financial inclusion by controlling economic growth, urbanization and population for the selected South Asian countries. Design/methodology/approach Applying the nonlinear autoregressive distributed lag approach to cointegration explores the impact of overall globalization on financial inclusion in the presence of additional variables like economic growth, urbanization and population in the designed financial inclusion function. Findings The estimated econometric outcomes show that increasing overall globalization fosters financial inclusion while decreasing overall globalization reduces financial inclusion. Furthermore, a positive (negative) change in economic growth leads to an increase (decrease) in financial inclusion while varying short-run findings. Moreover, both positive and negative changes increase financial inclusion in the long run in connection with urbanization. Although the short-run results are not significant, the study finds that an increase (decrease) in population leads to a decrease (increase) in financial inclusion. Finally, to support the promotion of financial inclusivity throughout South Asia, several policies pertaining to financial inclusion are suggested. Originality/value To the best of the authors’ knowledge, this is the first study to examine the asymmetries related to overall globalization on financial inclusion by controlling economic growth, urbanization and population.
An Evaluation Framework for Machine Learning and Data Science (ML/DS) Based Financial Strategies: A Case Study Driven Decision Model.
(IEEE Transactions on Engineering Management, Engineering Management, 2025) Saadatmand, M.; Daim, T. Mena,; C. Yalcin, H.; Bolatan, G.; Chatterjee, M
Big data and computational technologies are increasingly important worldwide in asset and investment management. Many investment management firms are adopting these data science (DS) methods and technologies to improve performance across all investment processes. A good question is whether we can make better decisions in developing quantitative strategies. Therefore, the main objective of this research was to develop a multicriteria assessment framework and scoring decision support system to evaluate quantitative investment strategies that apply machine learning (ML) and DS techniques in their research and development. Subject matter experts will assess all framework perspectives from a systematic literature review to approve their reliability. The perspectives consist of economic and financial foundations , data perspective , features perspective , modeling perspective , and performance perspective . The research methodology applied was the hierarchical decision model (HDM) to provide a 360° view of the quantitative investment strategy and improve and generalize the concept to other asset classes and regions. This study accomplished a rigorous integration of an extensive literature review connecting DS, ML, and investment decision-making in developing quantitative investment strategies. As a result, the major contribution of this study is the comprehensive examination, which included identifying and quantifying perspectives and criteria. The results, while limited indicated significant gaps in strategies examined and therefore generated critical knowledge to improve ML/DS-driven investment strategies, which are valuable for financial companies and policymakers.
An Evidence-Based CoCoSo Framework with Double Hierarchy Linguistic Data for Viable Selection of Hydrogen Storage Methods.
(Computer Modeling in Engineering & Sciences, 2024) Krishankumar, Raghunathan;; Sundararajan, Dhruva;; Ravichandran, K. S.
Hydrogen is the new age alternative energy source to combat energy demand and climate change. Storage of hydrogen is vital for a nation's growth. Works of literature provide different methods for storing the produced hydrogen, and the rational selection of a viable method is crucial for promoting sustainability and green practices. Typically, hydrogen storage is associated with diverse sustainable and circular economy (SCE) criteria. As a result, the authors consider the situation a multi-criteria decision-making (MCDM) problem. Studies infer that previous models for hydrogen storage method (HSM) selection (i) do not consider preferences in the natural language form; (ii) weights of experts are not methodically determined; (iii) hesitation of experts during criteria weight assessment is not effectively explored; and (iv) three-stage solution of a suitable selection of HSM is unexplored. Driven by these gaps, in this paper, authors put forward a new integrated framework, which considers double hierarchy linguistic information for rating, criteria importance through inter-criteria correlation (CRITIC) for expert weight calculation, evidence-based Bayesian method for criteria weight estimation, and combined compromise solution (CoCoSo) for ranking HSMs. The applicability of the developed framework is testified by using a case example of HSM selection in India. Sensitivity and comparative analysis reveal the merits and limitations of the developed framework
Analysis of critical success factors of Quality 4.0 implementation in manufacturing SMEs using best–worst method
(The TQM Journal, 2024-12-19) Vinodh,Sekar; Wankhede, Vishal Ashok; Muruganantham, Ganesan
Purpose To attain a competitive edge, it is essential to realize the significant critical success factors (CSFs) that contribute to the adoption of Quality 4.0 (Q4.0) in manufacturing organizations. Therefore, the study aimed to analyze CSFs for Q4.0 implementation in manufacturing small and medium-sized enterprises (SMEs) using multi-criteria decision-making (MCDM) tool. Design/methodology/approach The present study begins with a systematic literature review of past studies about Q4.0 implementation in manufacturing, followed by the identification of CSFs. Further, a case study was conducted wherein 42 CSFs identified were grouped into five dimensions. Best–worst method is a MCDM tool applied as a solution methodology for the analysis of CSFs based on expert opinion and priority order of CSFs attained. Findings The priority order of CSFs is obtained. Based on the findings, significant CSFs are “Data prediction and Analytics,” “Organizational culture towards Quality 4.0” and “Machine to Machine communication.” Practical implications The shifting market dynamics incorporate Q4.0 inclusion for realizing zero defects and high traceability in automotive SMEs. The present study offers implications for industry managers and practitioners by delivering insights on how Q4.0 could be serving automotive systems and CSFs that industry authorities need to pay attention to effectively adopt Q4.0 in the current quality systems. The study will facilitate industry practitioners to meticulously examine CSFs for Q4.0 toward the improvement of SME performance. Originality/value The identification of CSFs for Q4.0 adoption in manufacturing SMEs, along with the prioritization of CFSs using the MCDM tool, is the original contribution by the authors.
Analyzing the static and dynamic dependence among green investments, carbon markets, financial markets and commodity markets
(International Journal of Managerial Finance, 2025-01-17) Abakah, Emmanuel Joel Aikins; Tiwari, Aviral Kumar; Oliyide, Johnson Ayobami; Appiah, Kingsley Opoku
Purpose This paper investigates the static and dynamic directional return spillovers and dependence among green investments, carbon markets, financial markets and commodity markets from January 2013 to September 2020. Design/methodology/approach This study employed both the quantile vector autoregression (QVAR) and time-varying parameter VAR (TVP-VAR) technique to examine the magnitude of static and dynamic directional spillovers and dependence of markets. Findings Results show that the magnitude of connectedness is extremely higher at quantile levels (q = 0.05 and q = 0.95) compared to those in the mean of the conditional distribution. This connotes that connectedness between green bonds and other assets increases with shock size for both negative and positive shocks. This further indicates that return shocks spread at a higher magnitude during extreme market conditions relative to normal periods. Additional analyses show the behavior of return transmission between green bond and other assets is asymmetric. Practical implications The findings of this study offer significant implications for portfolio investors, policymakers, regulatory authorities and investment community in terms of carefully assessing the unique characteristics offered by each markets in terms of return spillovers and dependence and diversifying the portfolios. Originality/value The study, first, uses a relatively new statistical technique, the QVAR advanced by Ando et al. (2018), to capture upper and lower tails’ quantile price connectedness and directional spillover. Therefore, the results possess adequate power against departure from mean-based conditional connectedness. Second, using a portfolio of green investments, carbon markets, financial markets and commodity markets, the uniqueness of this study lies in the examination of the static and dynamic dependence of the markets examined.
Are emerging technologies unlocking the potential of sustainable practices in the context of a net-zero economy?
(Environmental Science and Pollution Research, 2023-03-18) Agrawal, Rohit; Priyadarshinee, Pragati; Kumar,Anil
Increasing globalization and climate change have significantly affected business activities. Government and other stakeholders are creating pressure to have a sustainable business model for efficient resource utilization and minimizing negative environmental impact. Many organizations have started focusing on sustainable and cleaner production through the adoption of net-zero economy (NZE) practices. Certain technological advancements are required to put these concepts into practice. Firms have begun to adopt digital technologies (such as big data analytics, artificial intelligence, and internet of things), and have been widely used in practice to achieve NZE. Is digitalization unlocking the potential of sustainable practices in the context of a net-zero economy? This question is still unanswered; therefore, this study aims to identify and analyze the drivers of digitalization that ensure sustainable practices to achieve net-zero economy. Through an extensive literature review and experts’ opinions, a list of drivers was identified. An empirical investigation was conducted to validate the identified drivers and further understand the influencing relationship among the drivers, Pythagorean fuzzy decision-making trial and evaluation laboratory (PF-DEMATEL) was employed. The findings of the study show that “high degree of automation,” “enhancing the flexibility in the manufacturing process,” and “real-time sensing capability” are the main influencer drivers among all cause group forces. The present study can be a source for industrial practitioners and academia that can provide significant guidance on how the adoption of digitalization can unlock the potential to achieve CE, which can lead us toward net-zero.
Artificial Intelligence-Based Cybersecurity for the Metaverse: Research Challenges and Opportunities
(2025-04) Awadallah, Abeer; Eledlebi, Khouloud; Zemerly, Mohamed Jamal; Puthal, Deepak; Damiani, Ernesto; Taha, Kamal
The metaverse, known as the next-generation 3D Internet, represents virtual environments that mirror the physical world. It is supported by innovative technologies such as digital twins and extended reality (XR), which elevate user experiences across various fields. However, the metaverse also introduces significant cybersecurity and privacy challenges that remain underexplored. Due to its complex multi-tech infrastructure, the metaverse requires sophisticated, automated, and intelligent cybersecurity measures to mitigate emerging threats effectively. Therefore, this paper is the first to explore Artificial Intelligence (AI)-driven cybersecurity techniques for the metaverse, examining academic and industrial perspectives. First, we provide an overview of the metaverse, presenting a detailed system model, diverse use cases, and insights into its current industrial status. We then present attack models and cybersecurity threats derived from the unique characteristics and technologies of the metaverse. Next, we review AI-driven cybersecurity solutions based on three critical aspects: User authentication, intrusion detection systems (IDS), and the security of digital assets, specifically for Blockchain and Non-fungible Tokens (NFTs). Finally, we highlight challenges and suggest future research opportunities to enhance metaverse security, privacy, and digital asset transactions
Assessing the impact of renewable energy and non-renewable energy use on carbon emissions: evidence from select developing and developed countries
(Environment, Development and Sustainability, 2025-02) Rai, Pratibha; Gupta, Priya; Saini, Neha; Tiwari, Aviral Kumar
Renewable Energy (RE) is essential for balancing economic and environmental conditions to attain Sustainable Development Goals (SDGs). This paper investigates the relationship between carbon emissions (CO2) and RE use, considering Non-renewable Energy (NRE) and macroeconomic variables such as Foreign Direct Investment, Gross Domestic Product, and Trade in eight major polluting nations from 1990 to 2019, constrained by data idiosyncratic features. The Error Correction Model using Autoregressive Distributed Lag methodology reveals that RE effectively lowers carbon emissions on average, but high economic growth and NRE use significantly contribute to environmental degradation. Additionally, while a reduction in CO2 emissions with RE use is evident through panel data analysis using the random-effect model. However, country-wise and panel data analyses do not substantiate the Environmental Kuznets Curve (EKC) hypothesis. The study confirms a long-run cointegrated relationship among the variables. It highlights the necessity for tailored energy innovations, as the weak validation of the overemphasized EKC hypothesis indicates that a generic solution is only sometimes applicable for mitigating emissions that facilitate the achievement of SDGs. This inquiry contributes to the extant literature by providing a nuanced understanding of the associations amongst macroeconomic variables, renewable and non-renewable energy consumption, and carbon emissions and offers critical insights for policy formulation. The requirement of indispensable energy innovations to achieve SDGs is emphasized. It is necessary to decrease the share of NRE use in total energy consumption and to increase the percentage share of RE use.
Assessing the relative impact of inland and marine fish production on fishing load capacity factor: Insights for sustainable fisheries management
(Marine Pollution Bulletin, 2025-06) Villanthenkodath, Muhammed Ashiq; Pal, Shreya
Promoting environmental sustainability, including the preservation of marine ecosystems, is a shared responsibility that requires the active engagement of diverse stakeholders. Thus, this study aims to find out how fish production in inland and marine areas affects the fishing load capacity factor in India from 1990 to 2022, considering economic growth and renewable energy consumption as additional covariates. For this purpose, the study employs both the Dynamic Auto-Regressive Distributed Lag (DYNARDL) simulations and the Auto-Regressive Distributed Lag (ARDL) bound testing models. The findings reveal a valid long-run relationship for the fishing load capacity factor function. Further, the findings show that inland fish production improves the fishing load capacity factor in the long run, though this effect is statistically insignificant in the short run. In contrast, marine fish production degrades the fishing load capacity in both the short and long run. Similarly, economic growth has significantly reduced the fishing load capacity factor in both time frames. Conversely, renewable energy consumption also shows a long-run negative impact on the fishing load capacity factor, although the short-run effect is insignificant. Therefore, the research findings suggest that the Indian government should prioritize implementing green economic policies for the fisheries sector, including environmental financing and promoting sustainable fishery products not limited to inland fish production but for marine fish production, to improve the fishing load capacity factor.
Asymmetric dynamics between geopolitical conflict sentiment and cryptomarkets
(Research in International Business and Finance, 2024-04) Abakah, Emmanuel Joel Aikins; Abdullah, Mohammad; Tiwari , Aviral Kumar; Ullah, G M Wali
This study investigates the influence of Russia-Ukraine war and associated economic sanctions sentiments on the returns of cryptocurrencies, NFTs, and DeFi assets. We analyse daily returns of twelve blockchain-based assets by employing quantile-on-quantile regression (QQR) and an asymmetric time-varying parameter vector autoregression (TVP-VAR) connectedness approach. The QQR reveals that the war sentiment has varying effects on the returns of digital assets, with negative (positive) impacts in bullish (bearish) markets. Notably, there is a heterogeneous effect observed in normal market conditions. Results from the TVP-VAR-based asymmetric connectedness approach demonstrate a time-varying influence of war sentiment, particularly heightened post-invasion. The war sentiment emerges as a significant transmitter (receiver) of price shocks in bullish (bearish) market conditions. These findings offer extensive implications for investors and policymakers when modelling market behavior during geopolitical events.
Asymmetry Effects of International Trade Components on Environmental Quality in BRICS Economies
(Circular Economy and Sustainability., 2024-01-17) Patel, Gupteswar; Mahalik, Mantu Kumar; Mallick, Hrushikesh
The evolutions of liberalization and globalization of economies have given rise to greater concern over climate change and economic development in the recent circular economy context. The composition of international trade for an individual country changes over a period of time [14, 15]. Against this backdrop, the purpose of this study is to examine the segregated impacts of traditional and modern components of trade (exports and imports) on environmental degradation in BRICS (Brazil, Russia, India, China, South Africa) countries in an extended IPAT framework. The environmental degradation model controls for population growth, economic growth, and, technology. Using a balanced panel data structure from 1996–2018 with panel regression techniques (viz. PMG-ARDL and FGLS), this study finds that modern exports and imports, and technological advancement improve environmental quality, while traditional exports and imports along with population growth and economic growth degrade it. Our study concludes that traditional trade components degrade environmental quality while modern trade components improve it. This finding has crucial policy implications for both international trade and environmental sustainability domains of BRICS economies.
Asymmetry in returns and volatility between green financial assets, sustainable investments, clean energy, and international stock markets
(Research in International Business and Finance, 2025-01) Doğan, Buhari; Jabeur, Sami Ben; Tiwari, Aviral Kumar; Abakah, Emmanuel Joel Aikins
This paper presents empirical evidence on the asymmetric relationship between green investments and international stock markets. We employ the asymmetric versions of Diebold and Yilmaz (2012) and Barunik and Krehlik (2018) for time-frequency connectedness, analyzing daily returns and volatilities from June 23, 2009, to June 23, 2022. Our study reveals significant time-frequency asymmetries in returns and volatility spillovers between green investments and developed equity markets in the short and long term. Regarding net directional spillovers, the equity markets in the United States, the United Kingdom, Italy, Germany, and France emerge as net transmitters of shocks. In contrast, green investments, notably those in sustainability and the environment, act primarily as net emitters of shocks. China and Japan are the primary recipients of these shocks. Meanwhile, green bonds generally function as net receivers of shocks, with occasional exceptions.
Barriers to integrated lean management-industry 4.0 technologies
(PRODUCTION PLANNING & CONTROL, 2024-08-29) Sharmaa, Vikash; Kumarb, Shashank; Rautc, Rakesh D; Queirozd, Balkrishna; Narkhedec, E; Gokhale, Ravindra
Lean management is a well-known manufacturing and service supply chain management philosophy.The various industry 4.0 technologies have also received enough attention because of their capabilitiesand initiated a debate among practitioners and academicians on integrating both paradigms. Despitethe potential benefits estimated in many research studies and reports, the implementation statuscould be more encouraging in organisations. Therefore, in this study, all potential barriers are identi-fied and analysed. These barriers were identified from existing literature and finalised with the help ofexperts. Further, ‘Interpretive Structure Modeling (ISM)’ was used to reveal their contextual relation-ship. Finally, the ‘Analytic Network Process (ANP)’ ranked the key barriers based on their importance.The results revealed that ‘lack of skilled and experienced workers’ and ‘lack of government policies’are the most critical barriers. Based on the study’s outcomes, policymakers could make a more effect-ive strategy to address these critical barriers. Additionally, organizations can adapt the proposedhybrid approach to address the barriers more effectively.
Bibliometric Analysis of Remote Working: 20-year Literature Review
(Human Resource Development Review, 2025-09-01) Kumar, Ashwani; Priyadarshi, Pushpendra; Garg, Nishant
Remote Working has gained exponential popularity across the world, especially after COVID-19. Despite carrying important implications for individual and organizational functioning and the growing interest of the scientific community over the years, very few retrospective studies have been made to synthesize and understand the intellectual narrative of this field. This study delves into the dynamic landscape of remote working literature through bibliometric analysis. Utilizing the SCOPUS database, we examined 745 articles published in reputed journals in management, psychology, and social sciences from 2001 to 2023. The study followed descriptive analysis and science mapping techniques to uncover valuable insights for scholars by identifying the most seminal contributions and collaborative networks. The analysis revealed that effectiveness, work-life balance, adoption factors, and challenges associated with RW are the major themes within the research. These findings collectively contribute to RW's holistic development and help develop a structural map of RW literature. Future research directions in the fields of academics and HRD are suggested
Bridging the gap between entrepreneurial intentions and behavior: examining the role of mindfulness
(Journal of Small Business and Enterprise Development, 2025-01-21) Abdul Waheed, Kareem; Laeequddin, Mohammed; Sahay, Vinita
Purpose This study investigates the role of mindfulness in the relationship between entrepreneurial intention and behavior. Design/methodology/approach To investigate the effect of mindfulness on entrepreneurial intention and behavior, we adopt a conceptual framework based on the theory of planned behavior and develop our hypothesis, anticipating that mindfulness has a moderating effect on the entrepreneurial intention–behavior relationship. We conduct an empirical study by administering a survey questionnaire with 329 respondents who attended a training program organized by one of the leading management institutes in India. Findings We find a positive effect of entrepreneurial intention and mindfulness on entrepreneurial behavior. Further, mindfulness has a moderating effect on the entrepreneurial intention–behavior relationship. Research limitations/implications The study has a few limitations. It was conducted among unemployed youth who participated in a government-sponsored training program for the promotion of entrepreneurship. Although not all the participants in the program were automatically eligible for government funding for starting a business, their entrepreneurial intention–behavior relationship may vary based on their conditions after the training concluded. This study emphasizes only the relationship between mindfulness and entrepreneurial intention behavior, considering EI and well-being implicit in mindfulness. Other contingent factors might also influence the entrepreneurship intention–behavior relationship, but our argument is that, ultimately, all emotional and rational factors can be subordinated to mindfulness. Hence, future research could be carried out to study the effect of mindfulness practice, entrepreneurial intention and the effectiveness of implementation behavior. Further longitudinal studies could be designed to understand how mindfulness training bridges the gap in the entrepreneurial intention–behavior relationship. Practical implications Through this study, we offer empirical evidence on the role of mindfulness in moderating the intention–behavior relationship in entrepreneurship. Mindfulness makes people more aware of their internal and external environment when they pay attention with a purpose that helps them to regulate their emotions, cognition, novelty seeking and social contexts to sustain the ups and downs in starting a business. Originality/value The findings of the study offer new insights into the nuanced association between entrepreneurial intention and behavior through the lens of mindfulness.
Business Strategies for Sustainable Development: Leveraging Industry 5.0 and Circular Pharmaceutical Supply Chains to Overcome Medicine Waste
(Business Strategy and the Environment, 2025-02-13) Agrawal,Anguja; Sharma, Aasha; Sarkar,Bishal Dey
Industry 5.0 (I5.0) presents opportunities for streamlining processes, reducing waste, improving resource utilization, and en-abling real-time monitoring and decision-making in the supply chain. This study proposes a strategy for information-sharingamong pharmaceutical supply chain partners, leveraging I5.0 technologies and circular economy strategies like redistributionof unused medicine to reduce waste. This will enable real-time demand data sharing throughout the SC, tracking the expirationdate, disposal, and redistribution of returned products. The study identifies 10 drivers for the adoption of I5.0 and the circularpharmaceutical supply chain (CPSC) to reduce medicine waste applying a Technology- Organization-Environment (TOE) frame-work in consultation with pharmaceutical supply chain professionals, analyzing their relationships using the Decision-MakingTrial and Evaluation Laboratory (DEMATEL) method. The findings reveal that “recognition of the significance of I5.0” and“government-supportive policies for circular supply chain and I5.0” are the most influential cause drivers, exerting significantinfluence on other drivers. Policies such as tax reductions, funding opportunities, and the development of robust digital infra-structure are essential to accelerate adoption. The findings highlight that strengthening these drivers will enhance the adoptionof I5.0 and CPSC, thereby reducing medicine waste. This study contributes to the literature in several significant ways by inte-grating I5.0 and circular supply chain strategies within the pharmaceutical sector to reduce medicine waste, addressing a criticalresearch gap. The proposed framework supports practitioners, policymakers, and industry associations in formulating strategiesfor adopting I5.0 and CPSC, enabling the reduction of medicine waste and contributing to sustainable development by aligningwith environmental goals.