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Article
Publication date: 19 June 2017

Anusha Sreeram, Ankit Kesharwani and Sneha Desai

This paper aims to conceptualize and test an integrated model of online grocery buying intention by extending technology acceptance model by adding several antecedents of…

Abstract

Purpose

This paper aims to conceptualize and test an integrated model of online grocery buying intention by extending technology acceptance model by adding several antecedents of online grocery shopping behaviour such as physical effort, time pressure, entertainment value, product assortment, economic values, website design aesthetics, etc. The ultimate dependent variable was consumer’s satisfaction with buying process of grocery product via online platform.

Design/methodology/approach

The model was tested over online grocery shoppers using structural equation modelling approach. To enhance the validity of the finding, common method bias and social desirability bias were also assessed.

Findings

As product assortment was found to have a significant impact on both perceived ease of use and perceived usefulness, it supports the notion of one-stop solution as a major driver to attract buyers to buy groceries online. Findings also highlight the importance of entertainment value and economic value as key variables which shape the buyer’s satisfaction and purchase loyalty behaviour. Overall, the results support the proposed model.

Practical/implications

The findings of this study would be helpful for online marketers to get more website visits and to increase conversion rates, i.e. getting their visitors to spend more time on the website and to make purchase.

Originality/value

This integrated framework tested here is quite comprehensive in nature, as it includes the influence of time pressure, physical effort and product assortment on online buying behaviour. These basic yet important variables to study, especially when the industry (online grocery shopping) is still in its nascent stage, are missing from the literature. The present study also involves a rigorous data analysis process followed by assessment of common method bias and psychometric property test. Such approach is rare in existing body of knowledge. The study uses S-O-R framework for hypothesis and model development, which is also rare in context of online grocery shopping.

Details

Journal of Indian Business Research, vol. 9 no. 2
Type: Research Article
ISSN: 1755-4195

Keywords

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Article
Publication date: 9 October 2019

Shirish Jeble, Sneha Kumari, V.G. Venkatesh and Manju Singh

The purpose of this paper is threefold: first, to investigate the role of big data and predictive analytics (BDPA) and social capital on the performance of humanitarian…

Abstract

Purpose

The purpose of this paper is threefold: first, to investigate the role of big data and predictive analytics (BDPA) and social capital on the performance of humanitarian supply chains (HSCs); second, to explore the different performance measurement frameworks and develop a conceptual model for an HSC context that can be used by humanitarian organizations; and third, to provide insights for future research direction.

Design/methodology/approach

After a detailed review of relevant literature, grounded in resource-based view and social capital theory, the paper proposes a conceptual model that depicts the influence of BDPA and social capital on the performance of an HSC.

Findings

The study deliberates that BDPA as a capability improves the effectiveness of humanitarian missions to achieve its goals. It uncovers the fact that social capital binds people, organization or a country to form a network and has a critical role in the form of monetary or non-monetary support in disaster management. Further, it argues that social capital combined with BDPA capability can result in a better HSC performance.

Research limitations/implications

The proposed model integrating BDPA and social capital for HSC performance is conceptual and it needs to be empirically validated.

Practical implications

Organizations and practitioners may use this framework by mobilizing social capital, BDPA to enhance their abilities to help victims of calamities.

Social implications

Findings from study can help improve coordination among different stakeholders in HSC, effectiveness of humanitarian operations, which means lives saved and faster reconstruction process after disaster. Second, by implementing performance measurements framework recommended by study, donors and other stakeholders will get much desired transparency at each stage of HSCs.

Originality/value

The findings contribute to the missing link of social capital and BDPA to the existing performance of HSC literature, finally leading to a better HSC performance.

Details

Benchmarking: An International Journal, vol. 27 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 1 April 1998

Trudie Honour, Jim Barry and Sneha Palnitkar

This paper considers the role of gender in urban governance, taking Mumbai (formerly Bombay) in India as case study. Findings are presented from a research programme…

Abstract

This paper considers the role of gender in urban governance, taking Mumbai (formerly Bombay) in India as case study. Findings are presented from a research programme involving both female and male politicians and administrators in order to explore the ways in which women and men undertake the duties of public office. In attempting to take account of the historical traditions of Indian local governance, in the current post‐colonial context, characterized not simply by difference, division and hierarchy but also by tolerance, diversity, locality and collective values, it is argued: first that women are held in high regard, seen as competent, fair and flexible in their dealings with others; and second that women’s increasing presence may be bringing enhanced levels of respectability to local governance.

Details

International Journal of Public Sector Management, vol. 11 no. 2/3
Type: Research Article
ISSN: 0951-3558

Keywords

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