Constructing an aggregate financial cycle for India: an analysis of key financial indicators
Aggregate financial cycle; Banking sector; Credit market; Dynamic conditional correlation generalized autoregressive conditional heteroscedasticity (DCC-GARCH) model; Equity market; Financial cycle components; Financial cycle movement; Financial market synchronization; G0; G1; House prices; Indian financial cycle; Principal component analysis; Turning point analysis
Purpose This paper aims to develop a financial cycle for India by aggregating key financial indicators from different sectors of the financial system and then comparing it with the business cycle to understand the macroeconomic implications. Design/methodology/approach The research uses various econometric tests to analyze the relationship among the financial indicators before applying the principal component analysis and filtering technique to extract the aggregate financial cycle. After this, the dynamic conditional correlation generalized autoregressive conditional heteroscedasticity model is applied to understand how it interacts with the economy. Findings The result of this study creates an aggregate financial cycle that effectively reflects the most influential components of the financial system, empowering policymakers to measure and safeguard the stability of the financial system and economy. Originality/value The authors contribution lies in the systematic integration of key indicators into a comprehensive aggregate financial cycle for India, which has not been thoroughly explored in existing research. This study also emphasizes the significance of banking sectors and other financial intermediaries that were undermined in the existing financial cycle studies. 2025 Emerald Publishing Limited
Paul, Vinuth; Rajan, Sruthi; Koyilathumpaday Sukumaran, Sujit
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1108/JFEP-05-2025-0198 https://www.scopus.com/pages/publications/105016758210?origin=resultslist
Paul V., Christ University, Bengaluru, India; Rajan S., Christ University, Bengaluru, India; Koyilathumpaday Sukumaran S., Christ University, Bengaluru, India
An asymmetric analysis of overall globalization on financial inclusion
Financial inclusion; Globalisation; NARDL; South Asia
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. 2024, Emerald Publishing Limited.
Villanthenkodath, Muhammed Ashiq; Pal, Shreya
Journal of Financial Economic Policy;Volume;17;Issue;2;pp.229-245
https://doi.org/10.1108/JFEP-01-2024-0006 https://www.scopus.com/pages/publications/85198633522?origin=resultslist
Villanthenkodath M.A., Department of Economics and Business Environment, Indian Institute of Management Bodh Gaya, Bodh Gaya, India; Pal S., School of Business and Management, Christ University (Deemed to be University), Bengaluru, India
Beyond the basics: mapping the inflation response to fiscal deficit in India with smooth transition autoregressive model
Causality; Fiscal deficit; Indian economy; Inflation; STAR; Threshold effects
Purpose: Indias historical fiscal performance has featured elevated deficit levels. Driven by the imperative need for fiscal stimulus measures in response to the crisis, efforts toward fiscal consolidation from 2003 to 2008 were reversed in 20082009 due to the financial crisis. These stimulus actions are believed to have wielded a notable influence on inflation dynamics. Presumably, a high inflation rate hinders growth and inflicts severe welfare costs. Accordingly, the principal objective of this paper is to scrutinise the threshold effects of fiscal deficit on inflation within the context of the Indian economy. Design/methodology/approach: We employed the Smooth Transition Autoregressive (STAR) Model, a robust tool for capturing non-linear relationships, to discern the specific threshold level of fiscal deficit. Our analysis encompasses annual data spanning from 1971 to 2020. Additionally, we have leveraged the Toda-Yamamoto causality test to establish the existence and direction of a causal connection between fiscal deficit and inflation in the Indian economy. Findings: Our analysis pinpointed a critical threshold level of 3.40% for fiscal deficit, a value beyond which inflation dynamics in India undergo a marked transition, signifying the presence of significant non-linear effects. Moreover, the results derived from the Toda-Yamamoto causality test offer substantiating evidence of a causal relationship originating from the fiscal deficit and leading to inflation within the Indian economic framework. Research limitations/implications: The findings of our study carry significant implications, particularly for the formulation and execution of both fiscal and monetary policies. Understanding the threshold effects of fiscal deficit on inflation in India provides policymakers with valuable insights into achieving a harmonious balance between these two critical economic variables. Originality/value: To the best of our knowledge, this study is the first of its kind to empirically investigate threshold effects of fiscal deficit on inflation in India from a non-linear perspective using the Smooth Transition Autoregression (STAR) model. 2024, Emerald Publishing Limited.
Tariq, Asif; Bashir, Shahid; Amin, Aadil
Journal of Economic Studies;Volume;52;Issue;2;pp.322-341
https://doi.org/10.1108/JES-11-2023-0664 https://www.scopus.com/pages/publications/85193375602?origin=resultslist
Tariq A., Department of Economics, Central University of Kashmir, Ganderbal, India, Department of Data Science, Christ University, Bengaluru, India; Bashir S., Department of Data Science, Christ University, Bengaluru, India, School of Management, Mahindra University, Hyderabad, India; Amin A., Department of Economics, Central University of Kashmir, Ganderbal, India
Artificial intelligence (AI) governance in organizational decision-making: balancing autonomy, accountability and transparency
Artificial intelligence; Business owners and managers; Decision-making; Structural equation modelling
Purpose This study aims to investigate the ethical and practical implications of delegating decision-making to AI systems, focusing on the necessity for a robust governance framework. Specifically, it examines how autonomy, transparency and accountability within AI governance influence organizational decision-making. Design/methodology/approach Employing a quantitative survey methodology, this study gathered data from 452 business owners and managers in Indian IT companies. The questionnaire was disseminated using online platforms and departmental communication channels. Structural equation modelling (SEM) was utilized for data analysis, allowing for the examination of relationships among autonomy, transparency, accountability and decision-making. Findings The findings indicate that autonomy, transparency and accountability significantly impact organizational decision-making processes. Specifically, autonomy and accountability were found to directly influence decision-making, while transparency also played a crucial role. Additionally, social innovation was identified as a significant moderating factor, enhancing the relationship between AI governance and decision-making outcomes. Originality/value This research contributes to the existing literature on AI governance by elucidating the critical role of ethical frameworks in organizational decision-making. By incorporating social innovation as a moderating variable, the study offers novel insights into how AI governance can be optimized to enhance decision-making processes. The application of SEM provides a rigorous analytical approach, facilitating a deeper understanding of the interplay between governance dimensions and decision-making outcomes. The findings have practical implications for organizations seeking to implement effective AI governance strategies in their operations. 2025 Emerald Publishing Limited
Hiremath, Sony; P, Ramesh; Konek, Shailaja S.; Bhavikatti, Veena Ishwarappa; vemula, Rajesh; B, Omnamasivaya
Journal of Entrepreneurship and Public Policy;pp.1-24
https://doi.org/10.1108/JEPP-04-2025-0112 https://www.scopus.com/pages/publications/105024694657?origin=resultslist
Hiremath S., Visvesvaraya Technological University, Belagavi, India; P R., Brainware University, Kolkata, India; Konek S.S., Central University of Karnataka, Kalaburagi, India; Bhavikatti V.I., Dayananda Sagar Business School, Bangalore, India; vemula R., Christ Deemed to be University, Bangalore, India; B O., Gonna Institute of Information Technology and Sciences, Visakhapatnam, India
Why small business owners get demotivated? Modeling unwillingness to grow using ISM approach
Entrepreneurship motivation; ISM; MICMAC; Small business owners; Unwillingness to grow
Purpose: Even after establishing their business successfully, many business owners get demotivated, and it leads to unwillingness to grow. This study aims to propose a comprehensive model that represents interrelationships among various personal factors affecting unwillingness to grow. Design/methodology/approach: The personal factors for unwillingness to grow were identified by extant literature, and expert interviews were conducted to establish the contextual relationships among these factors. The interrelationships among the filtered variables have been done using interpretive structural modeling (ISM) and MICMAC analysis was done to determine the importance of each factor in influencing unwillingness to grow. Findings: In total, 30 personal attributes were identified from previous literature, out of which 15 were selected for the final study. The result identifies 7 variables having a strong impact on unwillingness to grow. These attributes are absence of strong network, lack of vision, lack of proactiveness, reluctance to involve external consultants, absence of/small founding team, lack of ambition and improper attitude. Originality/value: The research attempts to create a bricolage of all the important personal factors affecting unwillingness to grow. Previous researches have used few attributes, but with the help of ISM, a graphical modeling technique, it became possible to draw interrelationship between 15 attributes. Further, with the help of MICMAC, the importance of each attribute was determined. 2024, Emerald Publishing Limited.
Tripathi, Vaibhav; Dey, Prajna Paromita; Nagariya, Ramji; Singh, Ajai Pratap
Journal of Entrepreneurship in Emerging Economies;Volume;17;Issue;3;pp.573-601
https://doi.org/10.1108/JEEE-01-2023-0008 https://www.scopus.com/pages/publications/105002288491?origin=resultslist
Tripathi V., School of Business and Management, CHRIST University Delhi NCR Campus, Ghaziabad, India and School of Business, UPES, Dehradun, India; Dey P.P., Department of Management, Podar World College, Mumbai, India; Nagariya R., School of Business and Management, Christ University, Bengaluru, India; Singh A.P., Department of Applied Psychology, VBS Purvanchal University, Jaunpur, India
Revisiting the Twin Deficit Hypothesis in presence of exchange rate nonlinearities: evidence from India using nonlinear ARDL model
C32; Current account deficit; E62; Exchange rate; F32; F41; Fiscal deficit; India; Nonlinear ARDL; TodaYamamoto test; Twin Deficit Hypothesis
Journal of Economic and Administrative Sciences;Volume;41;Issue;3;pp.1258-1278
https://doi.org/10.1108/JEAS-09-2022-0222 https://www.scopus.com/pages/publications/105024451160?origin=resultslist
Bashir S., Department of Data Science, CHRIST (Deemed to be University) - Pune Lavasa Campus, Lavasa, India; Ayoub T., Centre of Central Asian Studies, University of Kashmir, Srinagar, India
Economic policy uncertainty and corporate inventory holding: evidence from emerging economies
Economic policy uncertainty; Emerging economies; Financial constraints; Inventory holding
Purpose: This study aims to investigate how economic policy uncertainty (EPU) influences the inventory levels of 6,150 companies in ten emerging economies, specifically Chile, Brazil, China, Colombia, Hong Kong, India, Mexico, Pakistan, Russia and Singapore. Design/methodology/approach: The data used in this study is of quarterly frequency from 2004Q1 to 2020Q4 collected from the COMPUSTAT global database. To estimate the coefficients, this study has employed a two-step GMM model. Findings: We have discovered new evidence indicating a curvilinear relationship, specifically an inverted U-shaped pattern, between economic policy uncertainty (EPU) and corporate inventory holdings. These findings remain resilient when subjected to various rigorous tests. Furthermore, we observe that firms with lower financial constraints are capable of increasing their inventory holdings to a significant extent in the presence of high economic policy uncertainty (EPU) than firms facing higher financial constraints. Originality/value: Our research adds to the expanding body of literature that explores the impact of economic policy uncertainty on firm-level decision-making. We provide fresh evidence regarding the correlation between economic policy uncertainty and inventory holding, specifically focusing on emerging economies worldwide. Furthermore, we make a valuable contribution to the existing literature by examining whether the association between economic policy uncertainty and inventory holdings is influenced by the extent of financial constraints. 2025, Emerald Publishing Limited.
Mir, Shakeeb Mohammad; Sheikh, Irfan Ahmed; Muhmmad, Riyaz
Journal of Economic and Administrative Sciences;
https://doi.org/10.1108/JEAS-08-2023-0209 https://www.scopus.com/pages/publications/105002604823?origin=resultslist
Mir S.M., School of Business and Management, Christ University, Bengaluru, India; Sheikh I.A., Department of Public Finance and Accounting, Ethiopian Civil Service University, Addis Ababa, Ethiopia; Muhmmad R., Department of Management Studies, PCI Azad Group of Institutions, Dr APJ Abdul Kalam Technical University, Lucknow, India
Motivation continuum and its effect on electric vehicle acceptance in India
Electric vehicle; Motivation; Self-determination theory; Technology acceptance model
Purpose: The motivation to choose an electric vehicle (EV) is guided by principles of personal values, perceived rewards and preferences. While the benefits of sustainable transportation are known, the acceptance of EVs and the motivation to purchase them is not satisfactory in India. An assessment of the motivation continuum, a range of intrinsic to extrinsic personal and societal drives that encourage specific choices, explains the lack of EV adoption in the country. This study aims to examine the effect of motivation types on EV adoption intentions and also explores the moderating role of gender in this context. Design/methodology/approach: By incorporating constructs from the self-determination theory, the study expands on the technological acceptance model. It uses the structural equation modelling method to test the hypotheses and presents an analysis of responses from 351 participants. Findings: The findings suggest that there are significant relationships between external, identified, integrated motivation and EV buying intentions. The influence of gender on EV adoption is also explored. Originality/value: This study provides an in-depth analysis of varied motivational types on EV buying intentions and the moderating effects of gender on these relationships. 2025, Emerald Publishing Limited.
Dias, Stanny; Davidson, Benny Godwin J.; Chully, Arun Antony; Pendse, Pradeep Hari
https://doi.org/10.1108/JEAS-07-2024-0262 https://www.scopus.com/pages/publications/86000601064?origin=resultslist
Dias S., School of Business and Management, Christ University, Bangalore, India; Davidson B.G.J., School of Business, University of the Fraser Valley, Abbotsford, Canada; Chully A.A., Department of Management, Christ College, Pune, India; Pendse P.H., Department of Information Technology, WE School, Mumbai, India
Fostering cultural vitality and enhancing sustainable urban tourism through international labelling: anethno-morphological exploration
Cultural tourism; Cultural vitality; Ethno-morphological analysis; International labelling; Sustainable growth; Urban tourism
Purpose Cultural Vitality (CV) nurtures creativity, enhances engagement with the local community and supports the art and culture of the place. In quest of exploring the impact of International Labelling (IL) in enhancing CV and reinforcing Sustainable Development (SD), the study pursues a comprehensive Morphological Analysis (MA) and builds a hypothetical framework bridging culture-driven urban tourism with sustainable growth. Design/methodology/approach An ethno-morphological study based on the Durga Puja Festival (India) was adopted to identify the critical dimensions of culture-driven urban tourism. A series of in-depth interviews and cross-sectional studies were carried out to develop a hypothetical research framework for empirical (quantitative) validation thereon. Findings Critical dimensions such as Cultural Investment, Collaborative Partnership and Embracing Glocal Approach were identified as major constructs towards achieving CV of a destination. IL and Responsible Consumption were found to moderate the effect of antecedents and CV upon sustainable growth. Research limitations/implications The present research limits its scope to the geographical boundary within India, keeping cross-boundary research for future study. This study will aid future researchers and scholars in expanding the domain of culture-driven urban tourism. Practical implications The present study bears significance to the urban policymakers, governing bodies, marketers and tour operators in embracing a culture-driven perspective while undertaking a suitable strategy towards developing CV, promoting urban-tourism attributes and vis-vis ensuring its SD. Originality/value This study makes a novel attempt at adopting an ethno-morphological approach and blending culture-driven tourism with sustainable growth while exploring the impact of IL, all together in a research initiative, making it a single-point reference in urban tourism literature. Emerald Publishing Limited
Journal of Cultural Heritage Management and Sustainable Development;pp.1-18
https://doi.org/10.1108/JCHMSD-05-2024-0093 https://www.scopus.com/pages/publications/105037077217?origin=resultslist
Mondal S., Department of Marketing, Faculty of Commerce and Management, Christ University, Bangalore, India; Samaddar K., SIU SIBM Bengaluru, Bangalore, India
Marketing intelligence for intelligent marketing: a comprehensive definition and framework
Definition; Market intelligence; Marketing intelligence; Qualitative research; Thematic analysis
Purpose This study aims to formalize a comprehensive, contemporary and holistic definition of marketing intelligence (MI) by mapping the relevant literature of the last 60years from 19622022. Design/methodology/approach This study centralizes around the qualitative assessment of explored definitions by using thematic analysis. By identifying patterns and themes within the qualitative dataset, thematic analysis provides accessible and systematic procedures for generating codes and themes by discovering commonalities and contradictions in keywords. Findings The result of study 1 identified 127 papers indexed in databases distributed across 56 different journals. The manual screening of 127 research papers resulted in the selection of 15 definitions of MI. In study 2, thematic analysis was applied to these definitions through author-attribute mapping and assessment of weights, resulting in the identification of 25 key attributes representing five emerging themes. Study 3 identifies the gaps in definitions and proposes a comprehensive and complete definition of MI. Originality/value This researchs novelty corresponds to author-attribute mapping, exploring gaps in existing definitions and proposing a holistic and contemporary definition of MI. 2025 Emerald Publishing Limited
Vishnoi, Sushant Kumar; Mathur, Smriti; Sharma, Sanjeev
Journal of Advances in Management Research;Volume;23;Issue;1;pp.121-147
https://doi.org/10.1108/JAMR-02-2024-0040 https://www.scopus.com/pages/publications/105001676664?origin=resultslist
Vishnoi S.K., Institute of Management Studies Ghaziabad, Ghaziabad, India; Mathur S., Christ University, Bangalore, India; Sharma S., Christ University, Bangalore, India
What drives fish production Climatic indicators or economic indicators? Empirical evidence from India
A10; Carbon dioxide; Fish consumption; Fish production; J40; JKS Granger causality test; Mean temperature; O5
Purpose This study examined the relative roles of climate and economic factors in driving fish production across Indian states from 2000 to 2020, with a disaggregated focus on inland and marine systems. It also explored the multivariate causal relationships between fish production, CO2 emissions, temperature, rainfall, GDP and fish consumption. Design/methodology/approach To investigate the interactions between fish production, climatic and economic indicators, we used two novel techniques, namely a two-stage instrumental variable approach (2SIV) and a JKS causality test. Findings Results showed that rising temperatures and carbon dioxide emissions significantly reduce fish production, while rainfall, state GDP and per capita fish consumption enhance it. A disaggregated analysis revealed that all variables of interest had a considerable effect on marine fish production, comparable with the results for overall production; however, rainfall has a negligible effect on inland fish production. This discrepancy reflects system-specific dynamics: monsoonal rainfall has a direct impact on marine fisheries through nutrient enrichment and stock availability, whereas inland aquaculture is predominantly influenced by managed economic inputs rather than rainfall variability. Furthermore, the findings demonstrated that marine production is more sensitive to climatic factors, whereas inland production is more elastic to economic variables. The JKS test revealed that incorporating climatic and economic indicators improves the accuracy of fish production predictions than relying solely on its past values. Research limitations/implications For the foreseeable future, these findings have significant policy ramifications. In addition to strengthening water resource management and encouraging climate-resilient practices, fisheries departments should allocate a larger percentage of their GDP to infrastructure development. Additional stimulation of production can be achieved by demand-side measures like nutrition campaigns and the inclusion of fish in public food programs. To maintain the sustainable growth of both marine and inland fisheries, a comprehensive policy framework that concurrently addresses climatic, economic and consumer aspects is necessary in light of the established multivariate causation. Finally, it is prudent for policymakers and other stakeholders to adopt climate-adaptive strategies for marine fisheries and direct investments and technological support towards inland aquaculture to align interventions with system-specific production drivers. Originality/value We contribute to the literature by integrating annual data for an empirical analysis across 32 Indian states and union territories. In addition, this study empirically disentangles the system-specific dynamics of Indian inland and marine fisheries. This aspect is often overlooked in existing literature because fisheries are often portrayed as a homogeneous industry. Moreover, the paper offers actionable insights for designing ecologically appropriate fisheries policies, while advancing academic debates on climateeconomyproduction relationships. 2026 Emerald Publishing Limited
Bhat, Mudaser Ahad; Laloo, Bamerishisha; Wani, Farhana; Kumar, Altaf Ahmad; M, Savithri; Hassan, Junaid
Journal of Agribusiness in Developing and Emerging Economies;pp.1-19
https://doi.org/10.1108/JADEE-01-2025-0044 https://www.scopus.com/pages/publications/105030603943?origin=resultslist
Bhat M.A., Higher Education Department of Jammu & Kashmir, GDC Khansahib, Budgam, India; Laloo B., Department of Data Science, CHRIST (Deemed to be University) - Pune Lavasa Campus, Lavasa, India; Wani F., Central University of Kashmir, Ganderbal, India; Kumar A.A., Department of Economics, Akal University, Bathinda, India; M S., Department of Data Science, CHRIST (Deemed to be University) - Pune Lavasa Campus, Lavasa, India; Hassan J., School of Management and Commerce, Sanskriti University, Mathura, India
The impact of the COVID-19 pandemic on e-learning adoption in an emerging market: a longitudinal study using the UTAUT model
Behavioral intention; Covid-19; E-learning; Longitudinal study; PLS-SEM; UTAUT
Purpose: The COVID-19 pandemic provided unprecedented impetus to the evolution of the e-learning learning ecosystem by compelling students to adopt e-learning systems. This paper aims to use the UTAUT model to provide insight into the differences in factors influencing the adoption of e-learning systems before and after the pandemic. Design/methodology/approach: This longitudinal study uses two surveys conducted among graduate students in the city of Bengaluru in India. One prior to the start of the COVID-19 pandemic and a second in its aftermath. PLS-SEM is used to analyze both data sets to draw insights into the constructs that influence Behavioral intention to adopt e-learning systems. The moderating effect of gender is also analyzed. Findings: Pre COVID-19, Facilitating Conditions, Performance Expectancy and Effort Expectancy (quadratic behavior) were dominant factors influencing the adoption of e-learning technologies. Post pandemic, Performance Expectancy and Social Influence are drivers of e-learning adoption. Effort Expectancy and Facilitating Conditions grouped as Ease of Use is a significant driver of e-learning adoption post pandemic. Gender is found to not have a moderating influence. Originality/value: The unique longitudinal study of the differences in factors influencing students intention to adopt e-learning pre- and post-COVID-19 can prove useful to policy makers in the higher education sector. Academics can use the post-pandemic e-learning models findings in multiple contexts such as generational cohorts, educational contexts and social contexts. 2024, Emerald Publishing Limited.
Nair, Manas Somakumar; Nair, Jessy; Chellasamy, Aarthy
Journal of Asia Business Studies;Volume;19;Issue;3;pp.822-844
https://doi.org/10.1108/JABS-07-2024-0373 https://www.scopus.com/pages/publications/85209716409?origin=resultslist
Nair M.S., Congruence Systems, Bangalore, India; Nair J., St. Josephs Institute of Management, Bangalore, India; Chellasamy A., School of Business and Management, Christ University, Bangalore, India
Patients trust in the Indian healthcare system and its impact on the intention to use artificial intelligence-based healthcare chatbots
Chatbots; Complementary and alternative medicine; Distrust in health-care systems and doctors; Health care; Indian health seeking behaviour; Intention to use; Traditional; Trust in chatbots
Purpose: Indian patients have different medicine systems available at the service that alter their healthseeking behaviour (HSB). This study aims to examine the beliefs and behaviour of patients in India towards the healthcare system and how it affects their intention to use healthcare chatbots. Design/methodology/approach: A survey instrument was developed from standard scales and validated by experts. The data was collected from 397 respondents in an urban area and tested using a structural equation model in SAS JMP software. Findings: The study found that awareness and perception of chatbots and distrust on doctors and health systems impact trust in a chatbot. The results show that trust in chatbots influences the intention to use chatbots. The belief in alternative medicine systems and HSB also influence the intention to use chatbots. The study findings also imply that health-care chatbots should cater to HSB and the belief in alternative medicine. Research limitations/implications: The study was conducted only among the urban population because services based on technology are more available in metro cities. Bengaluru is considered the representative population of urban India. Practical implications: The level of disruption that chatbots can provide to the healthcare system makes this study significant. The study findings will help to manage the factors that can enable chatbot inclusivity, as the current system is inaccessible to many patients. Originality/value: This paper addresses an identified need to study patients trust in the Indian healthcare system and their intention to use chatbots. The level of disruptions these chatbots can cause in the health-care system is undeniable and patients trust in these chatbots will eventually transform the health-care sector. 2024, Emerald Publishing Limited.
Chellasamy, Aarthy; N, Elangovan; Nagarathinam, Aishwarya; Rangasamy, Sangeetha
Journal of Asia Business Studies;Volume;19;Issue;3;pp.730-747
https://doi.org/10.1108/JABS-06-2024-0289 https://www.scopus.com/pages/publications/85216463444?origin=resultslist
Chellasamy A., School of Business and Management, Christ University, Bangalore, India; N E., School of Business and Management, Christ University, Bangalore, India; Nagarathinam A., School of Business and Management, Christ University, Bangalore, India; Rangasamy S., School of Business and Management, Christ University, Bangalore, India
Assessing factors influencing intentions to use cryptocurrency payments in the hospitality sector
Behavioral reasoning theory; Cryptocurrency payment; Hospitality; PLS-SEM; Use intention
Purpose The emergence of cryptocurrency has developed a new payment system that is changing how financial transactions happen in hospitality. Consumers/travelers have started experimenting with cryptocurrency payments in hotels and restaurants. However, extant research is lacking in understanding the consumer adoption intention of cryptocurrency payments. This study investigates the intention to use cryptocurrency payments in the hospitality industry. Design/methodology/approach The conceptual model in this study is based on the Behavioral Reasoning Theory, and it explores the motivating and deterring factors influencing the adoption of cryptocurrency payments in the hospitality industry. A quantitative survey was conducted among 1, 080 consumers to examine and confirm the model, with data being analyzed through the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. Findings The outcome of this work showed that the reasons for positively influence and reasons against negatively influence consumers attitudes and use intentions. Consumers values of openness to change positively influence the reasons for and do not influence the reasons against and attitude toward the use of cryptocurrency payments. Practical implications This work contributes to practice by providing insights to customers (users/payee), hospitality managers (investors) and organizations/firms (receiving crypto payments) as well as to financial firms and the government. Originality/value This research contributes to cryptocurrency payment adoption and behavioral finance literature. The research uniquely provides the adoption and inhibiting factors for cryptocurrency payment in an integrated framework in the hospitality sector. 2024 Emerald Publishing Limited
Pillai, Rajasshrie; Preet, Raman; Sivathanu, Brijesh; Rana, Nripendra P.
Information Technology and People;Volume;38;Issue;6;pp.2477-2505
https://doi.org/10.1108/ITP-07-2023-0673 https://www.scopus.com/pages/publications/85200560638?origin=resultslist
Pillai R., Department of Management, Pune Institute of Business Management, Pune, India; Preet R., Department of Management, Pune Institute of Business Management, Pune, India; Sivathanu B., School of Business and Management, Christ University, Bangalore, India; Rana N.P., Queen's Business School, Queen's University Belfast, Belfast, United Kingdom
Empowering energy access: the influence of Islamic banking and Fintech on sustainable energy in MENA
Energy poverty; F65; Financial inclusion; Fintech; G20; G23; I32; Islamic banking; MENA; N77; O10; Q41; Sustainable development goals
Purpose This study aims to examine the impact of financial inclusion through Islamic banking and fintech-driven digital financial services on sustainable energy access (SEA) in the Middle East and North African (MENA) region. Despite the regions abundant energy resources, persistent challenges of energy poverty remain. This study explores how complementary financial mechanisms can address financing gaps in clean energy initiatives. Design/methodology/approach This study explores the influence of Islamic banking and fintech on energy poverty in the MENA region. Using the entropy weight approach, the authors uniquely construct composite SEA indices for individual MENA countries and ascertain how these SEAs are influenced by Islamic banking (FI1) and fintech-driven financial inclusion (FI2). Findings The findings reveal an average SEA value of 0.25, indicating that MENA countries face energy poverty. The analysis shows the influence of banking infrastructure and Islamic financial services on SEA in the Islamic MENA region, highlighting the complexity of the issue. From an aggregate view, both aspects of financial infrastructure improve SEA. The results show that unemployment, trade openness, urbanization and inflation significantly predict SEA. Originality/value The findings apply to the Islamic MENA region because of the larger sample of countries than the single-country studies primarily found in the relevant literature. The findings underscore the complementary roles of Islamic banking and fintech-based financial inclusion in addressing energy poverty, presenting essential implications for policymakers and governments in the MENA region. 2025 Emerald Publishing Limited
Ramaian Vasantha, Naveenan; Bossman, Ahmed; Iqbal, Najaf
International Journal of Islamic and Middle Eastern Finance and Management;
https://doi.org/10.1108/IMEFM-01-2025-0019 https://www.scopus.com/pages/publications/105017319059?origin=resultslist
Ramaian Vasantha N., School of Business and Management, Christ University, Bangalore, India; Bossman A., Department of Finance, University of Cape Coast, Cape Coast, Ghana, LUT Business School, LUT University, Lappeenranta, Finland; Iqbal N., School of Accounting, Hubei University of Economics, Wuhan, China
Understanding the determinants of financial and digital inclusion vulnerability among rural women in Odisha
Digital inclusion; Financial inclusion; Rural Odisha; Standardized composite index
Purpose This study aims to examine the degree of financial and digital inclusion vulnerability among rural women in Odisha and the factors contributing to financial and digital inclusion vulnerability. Design/methodology/approach To achieve this objective, the study gathers 400 samples from two districts in Odisha: Jagatsinghpur and Jharsuguda. Applying the Standardized Composite Index method, the study constructs two distinct indexes: the Financial Inclusion Vulnerability Index (FIVI) and the Digital Inclusion Vulnerability Index (DIVI) among the rural women of Odisha. The study further uses a multinomial logit regression model to examine how various social, economic and demographic factors influence rural women's vulnerability to financial and digital inclusion. Findings The findings specify that the financial inclusion vulnerability index for rural women is significantly lower than the digital financial vulnerability index. The regression results reveal that factors such as younger women, Scheduled Castes women, having primary education and larger family sizes increase the likelihood of financial inclusion vulnerability. Likewise, concerning DIVI, factors such as older women, women from Scheduled Castes, marital status, primary level of education and larger family sizes heighten the likelihood of digital inclusion vulnerability. Originality/value It investigates the extent of vulnerability related to both financial and digital inclusion among these women and examines the factors influencing this vulnerability in rural Odisha. Emerald Publishing Limited
Barik, Rajesh; Mahapatra, Sushanta Kumar; Pattayat, Shiba Shankar
International Journal of Sociology and Social Policy;Volume;46;Issue;2026-04-03 00:00:00;pp.533-549
https://doi.org/10.1108/IJSSP-03-2025-0183 https://www.scopus.com/pages/publications/105025416834?origin=resultslist
Barik R., Department of Economics and Finance, Birla Institute of Technology and Science (BITS), Pilani, K K Birla Goa Campus, Zuarinagar, India; Mahapatra S.K., Department of Economics, ICFAI School of Social Science, The ICFAI Foundation for Higher Education (IFHE) Deemed University, Dontanapally Campus, Hyderabad, India; Pattayat S.S., Department of Economics, CHRIST (Deemed to be University), Yeshwanthpur, Bangalore, India
Exploring the education, care, and support of children from fishing communities in India
Fishing community; Focus group discussion; Health care; Human capital theory; India
Purpose Fishing is a vital tradition in India, crucial for coastal economies and the nations protein-rich diet. Fishing communities play an essential role in food security and preserving coastal culture. Design/methodology/approach This study explores the challenges faced by the fishing communities, focussing on socioeconomic obstacles, access to services, and cultural barriers. It aims to propose targeted strategies to enhance their quality of life through education, healthcare, and community engagement, promoting sustainable improvements. This study employs qualitative research with purposive sampling, involving 36 adults from a fishing community in Puducherry with a 500-year history. Data was gathered through focus group discussions. Findings The findings state that economic constraints perpetuate a cycle of poverty that disproportionately affects girls, reinforcing gender inequality. Research limitations/implications This leads to unequal educational access and emotional support, resulting in developmental deficits and fewer future opportunities. Furthermore, household food insecurity and parental substance abuse threaten childrens well-being. Social implications The insights will guide policymakers, NGOs, and local stakeholders in developing solutions. Potential strategies include the development of safer livelihood alternatives, and the implementation of school outreach programs designed to address and mitigate systemic inequities. Originality/value Very few studies are conducted on this communities and not the relevant variables what we were investigated. 2025 Emerald Publishing Limited
Ranganathan, Maharishi; Parveen Banu, B.; Saker, Devi; Ganesh Kumar, J.
International Journal of Sociology and Social Policy;
https://doi.org/10.1108/IJSSP-03-2025-0172 https://www.scopus.com/pages/publications/105014871231?origin=resultslist
Ranganathan M., Department of Psychology, School of Social Sciences and Languages, Vellore Institute of Technology, Chennai, India; Parveen Banu B., Department of Psychology, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India; Saker D., Department of Psychology, Vellore Institute of Technology, Vellore, India; Ganesh Kumar J., Department of Psychology, Christ University, Bengaluru, India
The impact of excess CSR expenditure on firm value anddividend payout in India: ananalysis using firm age andsize dynamics
Corporate social responsibility (CSR); CSR expenditure; Dividend payout; Firm value
Purpose: The paper looks at the impact of excess amount of CSR expenditure (CSRE) in relation to mandatory CSRE in an Indian context on dividend payout (DP) and firm value (FV) where CSRE is mandatory, as well as how this relationship varies between firms based on their age and size. Design/methodology/approach: A sample of the 657 companies listed on the National Stock Exchange (NSE) from 201415 to 202021 is used in the study, for which spending on CSR was mandatory. A two-step generalised method of the moment is employed to examine the relationship between the variables of interest. Findings: The results show that excess CSREs neither increase the firms valuation nor benefit shareholders' economic benefits, i.e. dividend distribution. However, a deeper analysis reveals that excess CSRE is positively associated with FV in the case of smaller firms and also positively corresponds with DP in the case of younger firms. Originality/value: The present study explicitly considers the excess CSR spending beyond the mandated requirements. It investigates whether such spending contributes to firms improving their valuation and explores its connection to DPs. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0136 2024, Emerald Publishing Limited.
International Journal of Social Economics;Volume;52;Issue;6;pp.931-946
https://doi.org/10.1108/IJSE-02-2024-0136 https://www.scopus.com/pages/publications/85203181373?origin=resultslist
Chettri N., Department of Commerce, St. Edmunds College, Shillong, India; Makan L.T., Department of Commerce, North Eastern Hill University, Shillong, India, Department of Commerce, CHRIST University, Bengaluru, India
Investigate the distinctive link between a balanced scorecard and organizational performance in ITand non-IT sectors
Balanced scorecard; Company performance; Performance measurement
Purpose: The purpose of this research is to examine how the implementation of a balanced scorecard (BSC) affects business outcomes in both information technology (IT) and non-IT sectors. Design/methodology/approach: Partial least squares structural equation modeling (PLS-SEM) was used to test the hypothesis. A random sample was used to collect 170 responses from the IT companies and 166 from non-IT companies by using the questionnaire method. The questionnaire was distributed to the top- and middle-level managers in Bangalore city, and we used SmartPLS software to explore the relationship between our research constructs. Findings: The results of this study indicate that a BSC has a significant and positive impact on organizational performance in IT and non-IT sectors. The main distinction in this study is that all BSC perspectives [learning and growth perspective, internal business process (IBP) perspective, customer perspective (CP) and financial perspective (FP)] have a significant, direct and indirect impact on IT companies. On the other hand, solely three BSC perspectives (IBP perspective, CP and FP) have a significant impact on non-IT companies, while learning and growth perspective has an insignificant impact on the FP. Originality/value: This study provides a critical theoretical and practical contribution of a BSC on business performance in IT and non-IT industries. 2024, Emerald Publishing Limited.
Zairbani, Abdulkader; Doddaullarthi Basavaraj, Chetanraj; SriSai, Velaga; Jaya Prakash, Senthil Kumar; Anitha Kumari, P.
International Journal of Quality and Reliability Management;Volume;42;Issue;5;pp.1363-1380
https://doi.org/10.1108/IJQRM-07-2023-0239 https://www.scopus.com/pages/publications/105002583077?origin=resultslist
Zairbani A., Department of International Business and Entrepreneurship, GITAM School of Business, Gandhi Institute of Technology and Management (GITAM), Bengaluru, India; Doddaullarthi Basavaraj C., Department of Accounting and Finance, GITAM School of Business, Gandhi Institute of Technology and Management (GITAM), Bengaluru, India; SriSai V., School of Business and Management, Christ University, Bengaluru, India; Jaya Prakash S.K., Department of Finance, GITAM School of Business, Gandhi Institute of Technology and Management (GITAM), Bengaluru, India; Anitha Kumari P., Department of Human Resource Management, GITAM School of Business, Gandhi Institute of Technology and Management (GITAM), Bengaluru, India
Does waste management matter inthemedical materials business performance?
Eco-innovation; Green organizational climates; Innovational capability; Waste management
Purpose The purpose of this paper is to investigate the impact of waste management and innovational capability on business performance in the medical materials industry. Design/methodology/approach Partial least square-structure equation modelling was used to test the hypothesis. Convenience sampling was used to collect the responses, and questionnaires were distributed among a wide variety of stakeholders in the industry, including online and in-person managerial employees and specialists in waste management. Findings The result of this study revealed that eco-innovation has a significant relationship with waste management. However, green organizational climates have a significant relationship with waste management. Furthermore, environmental and social aspects have a positive moderation impact between eco-innovation and waste management. In addition, waste management mediates the relationship between innovational capability and business performance. Originality/value This study contributes to the resource-based view theory by demonstrating the direct impact of eco-innovation and green organizational climate on waste management and illustrates the indirect impact of innovational capability on business performance through waste management. 2025 Emerald Publishing Limited
Zairbani, Abdulkader; Doddaullarthi Basavaraj, Chetanraj; SriSai, Velaga; Manikrishna, Velagapudi; Jaya Prakash, Senthil Kumar
International Journal of Productivity and Performance Management;
https://doi.org/10.1108/IJPPM-10-2024-0746 https://www.scopus.com/pages/publications/105014880356?origin=resultslist
Zairbani A., GITAM School of Business, Gandhi Institute of Technology and Management (GITAM) Bengaluru Campus, Bengaluru, India; Doddaullarthi Basavaraj C., AMITY Business School, Amity University, Bengaluru, India; SriSai V., School of Business and Management, Christ University, Bengaluru, India; Manikrishna V., AMITY Business School, Amity University, Bengaluru, India; Jaya Prakash S.K., GITAM School of Business, Gandhi Institute of Technology and Management (GITAM) Bengaluru Campus, Bengaluru, India