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Article
Publication date: 5 March 2018

Richa Priya, Aradhana Vikas Gandhi and Ateeque Shaikh

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

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Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Benchmarking: An International Journal, vol. 25 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 10 April 2017

Aradhana Vikas Gandhi, Ateeque Shaikh and Pratima Amol Sheorey

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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

Details

International Journal of Retail & Distribution Management, vol. 45 no. 4
Type: Research Article
ISSN: 0959-0552

Keywords

Article
Publication date: 29 November 2018

Aradhana Vikas Gandhi and Dipasha Sharma

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.

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Benchmarking: An International Journal, vol. 25 no. 9
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 19 February 2019

Gauri Yogesh Joshi, Pratima Amol Sheorey and Aradhana Vikas Gandhi

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…

Abstract

Purpose

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.

Design/methodology/approach

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

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.

Research limitations/implications

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.

Originality/value

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.

Article
Publication date: 14 July 2020

Aradhana Vikas Gandhi

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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

Article
Publication date: 22 January 2021

Shailesh Jain and Aradhana Vikas Gandhi

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

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Innovation Science, vol. 13 no. 2
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 18 August 2021

Mugdha Vinod Dani and Aradhana Vikas Gandhi

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…

Abstract

Purpose

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.

Design/methodology/approach

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

Findings

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.

Research limitations/implications

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

Originality/value

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.

Details

International Journal of Innovation Science, vol. 14 no. 3/4
Type: Research Article
ISSN: 1757-2223

Keywords

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