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A crucial contemporary policy question for financial service organizations of being resilient across the globe calls for rethinking and renovating by adopting and adapting to the technologies of artificial intelligence (AI). The purpose of this study is to propose a policy framework for adoption of AI in the finance sector by exploring the driving factors through systems approach.

Based on literature review and discussions with experts from both industry and academia, nine enablers were shortlisted, which were used in the questionnaire survey to determine ranks of enablers. Further, the study developed the interpretive structural model (ISM) with the help of experts.

The ISM digraph developed with the help of the experts, resulted in the enablers like anticipated profitability, contactless solutions, credit risk management and software vendor support as dependent factors and stood at the top of the ISM. On the other hand, factors like availability of the data, technical infrastructure and funds are the most driving factors, which lie on the bottom of the ISM.

The study provides implications and policy recommendations for the practicing managers and government agencies approaching the digital transformation towards the adoption of AI in the finance ecosystem.

The paper uses the systems approach for the development of the ISM of the enabling factors for the adoption of AI technology. On the basis of the results, the study proposes a policy framework to accelerate the functioning of the finance ecosystem with AI technology.

Sustainable consumption is an important topic for different industries, including the fashion industry. Despite a favourable attitude of consumers towards sustainable products in the fashion industry, the actual purchase by the consumers is limited. Thus, the present study examines sustainable consumption using the theory of planned behaviour (TPB). The purpose of this paper is to study the mediating impact of strategies of justification of unethical behaviour on the gap-based relationship between a purchase intention and a purchase decision for a consumer in a sustainable clothing context.

For the study, the primary data from 229 graduate-level fashion students enrolled in universities across India has been analyzed with the help of structural equation modelling.

The study results have proven that attitudes and subjective norms can positively affect purchase intentions when it comes to purchase of the environmentally sustainable products. Further, economic rationality (ER) and government dependency (GD) partially mediate the purchase intention–behaviour gap of the justification strategies for unethical behaviour.

The results would be helpful in implementing sustainable clothing consumption among Indian consumers. The study would be beneficial for industry professionals, export houses and scholars to discover possible reasons which can lead to the widening of the intention–behaviour gap when it comes to the purchase of the sustainable clothing consumption for Indian consumers. Critical implications for marketers from the present research assert that ER and GD are important factors that could increase the purchase intention of young consumers towards sustainable clothing.

The results of the study contribute to the existing literature in a novel way by adding justification strategies for unethical behaviour to the TPB model. This study is innovative as it adds new constructs to the TPB model by including the three justification strategies that people use for unethical consumption behaviour (ER, economic development and GD) to gain insight into why a purchase intention–behaviour gap exists for sustainable clothing.

This study examines intrinsic motivations and antecedents that affect millennial mobile impulsive shopping in markets with the technology acceptance model (TAM) during the COVID-19 pandemic.

The study has been conducted by collecting data from 367 regular mobile shopping millennials, which was analyzed by structural equation modeling.

The findings reported that the perceived ease of use correlates positively with perceived usefulness. Similarly, perceived ease of use, usefulness, perceived utilitarian value and hedonic value significantly impacts shoppers' trust and attitude toward impulsive mobile shopping. Perceived trust was found to exhibit a positive association with mobile shopping. Finally, perceived usefulness, ease of use, utilitarian value, hedonic value, trust and attitude significantly positively impacted millennials' impulsive mobile shopping.

This study's results will help e-retailers establish novel techniques and efforts to enhance market volume and build solid connections with mobile customers by ensuring secure purchase habits. The results would also help companies develop customer satisfaction-focused business strategies.

This study contributes to the body of literature by finding a significant impact of attitude, trust and shopping values on impulsive mobile shopping. These constructs have not been explored as factors impacting mobile impulsive shopping, especially when it comes to a pandemic.

This study aims to determine experimentally factors affecting the satisfaction of retail stock investors with various investor protection regulatory measures implemented by the Government of India and Securities and Exchange Board of India (SEBI). Also, an effort has been made to gauge the level of satisfaction of retail equities investors with the laws and guidelines developed by the Indian Government and SEBI for their invested funds.

To accomplish the study’s goals, a well-structured questionnaire was created with the help of a literature review, and copies of it were filled by Punjabi retail equities investors with the aid of stockbrokers, i.e. intermediaries. Amritsar, Jalandhar, Ludhiana and Mohali-area intermediaries were chosen using a random selection procedure. Xerox copies of the questionnaire were given to the intermediaries, who were then asked to collect responses from their clients. Some intermediaries requested the researcher to sit in their offices to collect responses from their clients. Only 373 questionnaires out of 1,000 questionnaires that were provided had been received back. Only 328 copies were correctly filled by the equity investors. To conduct the analysis, 328 copies, which were fully completed, were used as data. The appropriate approaches, such as descriptives, factor analysis and ordinal regression analysis, were used to study the data.

With the aid of factor analysis, four factors have been identified that influence investors’ satisfaction with various investor protection regulatory measures implemented by government and SEBI regulations, including regulations addressing primary and secondary market dealings, rules for investor awareness and protection, rules to prevent company malpractices and laws for corporate governance and investor protection. The impact of these four components on investor satisfaction has been investigated using ordinal regression analysis. The pseudo-R-square statistics for the ordinal regression model demonstrated the model’s capacity for the explanation. The findings suggested that a significant amount of the overall satisfaction score about the various investor protection measures implemented by the government/SEBI has been explained by the regression model.

A study could be conducted to analyse the perspective of various stakeholders towards the disclosures made and norms followed by corporate houses. The current study may be expanded to cover the entire nation because it is only at the state level currently. It might be conceivable to examine how investments made in the retail capital market affect investors in rural areas. The influence of reforms on the functioning of stock markets could potentially be examined through another study. It could be possible to undertake a study on female investors’ knowledge about retail investment trends. The effect of digital stock trading could be examined in India. The effect of technological innovations on capital markets can be studied.

This research would be extremely useful to regulators in developing policies to protect retail equities investors. Investors are required to be safeguarded and protected to deal freely in the securities market, so they should be given more freedom in terms of investor protection measures. Stock exchanges should have the potential to bring about technological advancements in trading to protect investors from any kind of financial loss. Since the government has the power to create rules and regulations to strengthen investor protection. So, this research will be extremely useful to the government.

This work has societal ramifications. Because when adequate rules and regulations are in place to safeguard investors, they will be able to invest freely. Companies will use capital wisely and profitably. Companies should undertake tasks towards corporate social responsibility out of profits because corporate houses are part and parcel of society only.

Many investors may lack the necessary expertise to make sound financial judgments. They might not be aware of the entire risk-reward profile of various investment options. However, they must know various investor protection measures taken by the Government of India & Securities and Exchange Board of India (SEBI) to safeguard their interests. Investors must be well-informed on the precautions to take while dealing with market intermediaries, as well as in the stock market.

The purpose of this study is to examine the impact of scarcity and the Lifestyles of Health and Sustainability (LOHAS) consumption tendency on the purchase intention of organic foods. The study used the protection motivation theory and the stimulus-organism-response theory to understand the impact of comparatively new variables like “perceived scarcity” and “perceived consumer effectiveness” (PCE) on the consumer's organic food purchase intentions.

The study is using structural equation modeling with 402 organic food consumers. The participants are regular consumers who bought organic food from specialized shops and supermarkets in the previous few months. The data has been collected at organic food specialized shops and supermarkets that sell organic foods.

The results showed that LOHAS consumption tendency (LCT), scarcity and PCE positively affect attitude. Similarly, LCT and PCE direct affect trust. Scarcity and PCE directly positive impact on purchase intention of organic food products. Interestingly, LCT had no direct impact on the purchase intention of the product. Trust and attitude were found to be significant mediators impacting purchase intention.

The study contributes to the past theoretical literature on LOHAS consumption by analyzing new constructs like scarcity and PCE in the context of organic food consumption. These findings will be crucial for marketers planning to launch organic products in new markets.

Religion plays a crucial role as a sociocultural factor to assess consumer behavior. Stemming from the above, this study aims to analyze the impact of religion and ethnic concern on the purchase intention (PI) of consumers based on the theory of planned behavior.

The research method adopted for this study includes a meta-analysis of the extant literature for the past 20 years focusing on the relationship between religiosity and PI. Data of 24 values from 23 studies were used to assess the impact of religiosity on the PI of consumers.

The findings of this study indicate that religiosity has a strong impact on the PI of consumers. Further, this study identifies that location, sample size and product category play a vital role as moderators toward the relationship between religiosity and PI. This study identifies critical and pertinent implications for brands as they reach out to religious and cultural groups across various geographies, in the context of identifying target markets and adapting marketing strategies.

This study acts in response to the consistent call for research to focus on religion-related variables and fills the gap calling for empirical research into religiosity and its impact on PIs. This study makes notable theoretical, managerial and methodological contributions to the field.

This exploratory study aims to explore the operational and financial constraints faced by small and medium enterprises (SMEs) in India during the COVID-19 pandemic. The paper highlights the role of supply chain finance (SCF) in the uncertain business environment caused by the pandemic.

The study adopts an inductive approach and conducts convergent interviews with 32 SME owners and bank officials who are associated with SME-related financial transactions. The analysis of the interview data has been done through a grounded theory approach.

The findings portray four key themes representing the operational and financial constraints faced by SMEs during the pandemic. Further, the study identifies four drivers of SCF adoption among SMEs, including capital constraints, high inventory turnover cycle time, high order fulfilment cycle time and long debtors’ collection period.

The study provides various insights to the managers and owners of SMEs to deal with the economic crisis and eliminate the financial pressure created by the pandemic. The study enlightens the policymakers about the struggles of the SMEs during the economic turmoil created by the pandemic and guides them to introduce the relevant policies to resolve their problems.

To the best of the authors’ knowledge, this is the first study to identify the factors driving the SMEs to adopt SCF due to the economic chaos created by the pandemic. Also, the study theoretically contributes to the literature by developing a theoretical framework for SCF adoption based on grounded theory.