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The purpose of this paper is to analyze the factors affecting mobile banking adoption among young Indian consumers.

The authors use a cross-sectional survey research design to empirically examine the factors affecting mobile banking adoption among young Indian consumers. The study sample consists of 269 respondents aged between 23 and 30 years from India.

The findings of the study suggest that perceived usefulness (PU), perceived ease of use (PEU), perceived credibility (PC) and structural assurance (SA) are strong determinants of user satisfaction (US) and behavioral intention (BI) to use the mobile banking service. US was found to partially mediate the relationship between PU, PEU, PC and SA and BI to use the service. Perceived risk was found to be statistically insignificant in terms of its relationship with BI to use the service.

The results of this study provide good evidence for banks to further revamp their work practices in the area of mobile banking to enhance the overall penetration of mobile banking in India.

The study identifies factors influencing mobile banking adoption among young Indian consumers. Furthermore, this study suggests that US partially mediates the relationship between factor influencing mobile banking adoption and BI.

The purpose of this paper is to investigate the adoption and implementation of supply chain management practices (SCMPs) on supply chain performance (SCP) and firm performance (FP) in the organized retail industry in a developing country like India.

An empirical study was conducted on a sample size of 125 responses collected from the supply chain heads of organized retail firms in India. A theoretical model was developed depicting the relationship between SCMPs, SCP and FP. The theoretical model was tested using mediating multiple regression analysis.

This research suggests that the SCMPs are positively related to SCP and FP. Customer relationship management and supplier relationship management are reported as the most important SCMPs, which had the maximum impact on the FP in the organized retailing context in India.

The research employed perceptual performance measures. Future studies can use actual performance parameters like profit and sales growth to better quantify the benefits of SCM in this context.

This research is an attempt to empirically test the impact of SCMPs on FP in organized retailing context in an emerging market, India.

The purpose of this paper is to ascertain the performance of Indian hospitals in recent past and derive meaningful insights for policy makers and practicing managers in this area.

This paper analyses the technical efficiency of select Indian private hospitals using three related methodologies: data envelopment analysis (DEA), Malmquist Productivity Index (MPI) and Tobit regression. Two output variables (i.e. total income and profit after tax) and four input variables (i.e. cost of labour, net fixed assets, current assets and other operating expenses) were selected for the purpose of the study.

DEA analysis has shown that 14 out of 37 hospitals are found to be efficient under the Cooper and Rhodes model of DEA and 20 out of 37 hospitals are efficient under the Banker, Charles and Cooper model of DEA. The empirical results pertaining to MPI indicate an overall productivity progress in the private Indian hospital industry during the study period, which is largely due to technological advancement in the industry. Tobit regression demonstrates that chain affiliated, specialized and multi-city located hospitals exhibit a higher technical efficiency.

This study has a limitation with reference to the unavailability of data on the input and output parameters of the model. The data related to the number of beds, number of doctors, number of nurses, etc., were not available for the period under consideration.

This study seems to be one of the few studies applying productivity and performance analysis using DEA, MPI and Tobit regression for the Indian private hospital industry.

The purpose of this paper is to identify the barriers to consumers’ intention to purchase energy efficient appliances. It uses multiple regression analysis to predict the factors that deter consumers’ purchase intention.

Five barriers to consumers’ intention to purchase energy efficient appliances were identified through an exhaustive literature survey. Data were gathered from 300 respondents from Pune city from the state of Maharashtra in India through a survey. The items were measured on a five-point Likert scale. Validity and reliability of the scale were established. Multiple regression analysis was conducted to predict consumers’ intention to purchase energy efficient appliances based on factors identified.

Findings revealed that some degree of uncertainty was associated with energy efficient appliance purchase. In addition to possessing lower degrees of awareness on energy efficient appliances, consumers tend to disbelieve claims made on labels of energy efficient appliances. Consumers also feel inconvenience in identifying these appliances, spending time to know about them and paying the price to purchase them. Hence, the factors – scepticism towards label claims and perceived personal inconvenience – were found to have negative impact on consumers’ purchase intention. Societal norm was found to have a positive impact on consumers’ purchase intention. Interestingly, price sensitivity and perceived product risk (which were expected to have a negative relationship with consumers’ purchase intention) displayed a positive relationship.

The model proposed here is based on the researcher’s identification of the barriers. There might have been unidentified barriers that were not considered. The research does not account for manufacturing or policy-based issues that might also pose as barriers. The study encourages marketers to re-examine marketing and communication policies associated with the sale of energy efficient appliances.

The paper provides insights into the external barriers faced by consumers while purchasing an energy efficient appliance. This research enables managers to understand consumer’s preference for conventional products over energy efficient ones. It attempts to check the presence of barriers to energy efficient appliances, identified from literature in a tier 1 city of India. Tier 1 city is the city with population greater than 1,00,000 as per 2001 census of India.

The study aims to explore the parameters that affect the purchase behavior of green consumers.

A mixed methodology concurrent study was adopted involving questionnaire-based empirical study along with a qualitative study to capture the lived experiences of the respondents. Inferences were drawn to understand green consumer behavior in a holistic way.

While conducting in-depth interviews, many recurring themes emerged, such as environmentally friendly, health-conscious, price, government initiatives, youngsters' inclination, general awareness, family influence/traditions, quality, advertisement and social concern. A concurrent quantitative study was conducted, which established altruism, environmental awareness and social factor and influence as significant parameters, which had an impact on green consumer behavior.

While designing green products, this study will enable marketers to innovate their products and services based on the intricate insights that have come out of the study.

The study seeks to give deep insights into green consumer behavior that may help academics and marketers to understand the phenomenon better.

This paper aims to understand the impact of modern technologies such as artificial intelligence on impulse buying behaviour of Indian shoppers specifically in fashion retail outlets.

The empirical study on the effect of artificial intelligence on impulse purchase decisions was conducted through an e-survey of the Indian shoppers. The data collected was analysed using factor analysis and multiple regression analysis.

The impact of modern technologies which are used by the retailers to enhance sale and consumer engagement was studied. The relationship between use of artificial intelligence parameters such as the purchase duration, recommended products, product information and human interaction and its impact on Impulse Purchase was studied and the results revealed that all these factors except product information had a significant impact on the impulse purchase decision of the buyer.

This study will be useful to the fashion retailers to gauge the effect of incorporating artificial intelligence and its impact on driving sales by attracting shoppers to their outlets.

This study specifically focusses on the impact of modern technologies on impulse purchase of Indian shoppers in fashion retail outlets. Other research works have focussed on impact of visual merchandising, store layouts, store environment and promotional activities on impulse purchases. This is one of the few studies which deals with the impact of artificial intelligence on impulse buying behaviour of Indian shoppers specifically in the fashion retail segment.

Innovation is a process that enables organizations to sustain and prosper in a competitive business environment. This study aims to understand the key drivers of innovation within organizations from the lens of employees.

This study uses a grounded theory approach based on semi-structured in-depth interviews of 20 professionals working in information technology (IT) firms. Judgmental sampling was adopted to select the respondents. Open coding, inductive analysis was conducted on the interview transcripts to generate relevant themes.

Emerging themes indicate that innovation within organizations can be triggered as a response to client requirements or the employees’ inherent urge to innovate. Certain factors such as user engagement, formal organizational processes and practices, informal collaborative practices, the role played by experts and leaders and upskilling were seen to enable innovative outcomes within organizations.

Findings from this study will allow leaders to activate the identified drivers by designing suitable organizational processes and strategies to nurture a successful innovation culture within their teams.

This grounded theory-based study looks at drivers of innovation within IT organizations from the perspective of employees.

This study aims to explore the adoption behaviour of consumers towards innovative technology products and services (ITPS).

A qualitative study using semi-structured in-depth interviews was conducted with 47 respondents. Their lived experiences across 50+ ITPS were studied. A grounded theory approach was used to develop a theory with reference to consumer adoption of ITPS.

Themes emerged across the adoption process, such as triggers for adoption (pressing need, making life more pleasurable, urge to acquire and forced initiation); hesitancies faced by consumers during evaluation (value alignment, utilization, ecosystem, risks with new technology and price); and factors that help in overcoming the hesitancies (word of mouth, de-risking schemes and self-devised strategies).

Innovators must understand customer triggers and design offerings that activate the same – addressing a pressing need or making lives more pleasurable. Users driven purely by an urge to acquire can be a source of early word of mouth for radical innovations. Innovations must be designed and communicated to minimize hesitancies. Mitigating schemes such as equated monthly installment and return policy can be offered to empower customers to overcome hesitancies. Factors such as price, risk, beliefs, traditions and nationalistic values assume importance, specifically in an emerging economy.

This study based on grounded theory keeps the user at the centre and explains the innovation adoption phenomenon for a wide variety of 50+ ITPS in the context of an emerging economy.

Innovation is an engine that drives the organization and allows it to outcompete in the economic environment. This paper aims to analyze scientific publications between 1980 and January 2021 concerning innovation indicators at organizational and individual levels. The study identifies 11 unique indicators to evaluate innovation, thus enhancing existing knowledge in the domain.

A total of 175 randomly selected journal articles were systematically analyzed.

While innovation has received significant attention in the commercial sector, the focus on the construct in academic research has remained relatively narrow. The analysis offers a comprehensive view of innovation drivers at an organizational and individual level.

The literature review offers a deeper understanding of the indicators of innovation impacting organizational performance.

The analysis and methodology discussed aim to assist managers, researchers and policymakers in comprehending the various innovation indicators; such understanding may enhance individual and organizational efficiency.