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Open Access
Article
Publication date: 6 February 2023

Kimberly Thomas-Francois, Simon Somogyi and Alireza Zolfaghari

The purpose of this paper is to provide an alternative framework that will assist in understanding the adoption of digital food shopping. The coronavirus disease 2019 (COVID-19…

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Abstract

Purpose

The purpose of this paper is to provide an alternative framework that will assist in understanding the adoption of digital food shopping. The coronavirus disease 2019 (COVID-19) pandemic has exacerbated the demand for digital shopping, but the adoption of digital shopping for food has not accelerated as fast as in other product categories. This study considered the role of socio-cultural factors to understand the reason for slow adoption of digital technology to access food. A cultural framework that can be used to investigate socio-cultural factors in this context was lacking, however, this paper provides a discussion of social and cultural factors and developed measurement scales to assist in understanding cultural change acceptance in consumers' adoption of digital technology to purchase food.

Design/methodology/approach

Using Hayes' process analysis, this paper investigated how cultural acceptance – mediated by consumer affection and appeal and measuring the moderated effects of digital trust (DT) – determined the eventual impact on consumer intention to adopt digital food retailing. This paper also considered moderated mediation with parallel mediations (consumer affection and appeal, digital convenience (DC) and consumer digital readiness) interacting with DT and consumer learning.

Findings

The authors found that cultural acceptance of digital technology (CADT) is an antecedent to the adoption of digital shopping for food, but this is also mediated by consumers' appeal and affection for digital technology and consumers' digital readiness.

Practical implications

This study also indicates that DT influences consumer appeal and affection (CAA), especially amongst female consumers.

Originality/value

The paper represents an empirical investigation of a new conceptual framework that considers socio-cultural factors to understand consumers' use of digital technology in food shopping which has been an existing knowledge gap in current literature.

Details

International Journal of Retail & Distribution Management, vol. 51 no. 3
Type: Research Article
ISSN: 0959-0552

Keywords

Article
Publication date: 25 August 2022

Alireza Zolfaghari, Kimberly Thomas-Francois and Simon Somogyi

Smart retail technology adoption models are largely focused on consumer perceptions of the technology and the characteristics of digital technologies. However, the impact of the…

Abstract

Purpose

Smart retail technology adoption models are largely focused on consumer perceptions of the technology and the characteristics of digital technologies. However, the impact of the prior-to-use knowledge of consumers on the adoption of the technologies has been understudied. This research examined to what extent social acceptance and consumer learning can facilitate consumer adoption of digital grocery shopping (DGS).

Design/methodology/approach

This paper builds on the innovation–decision model to develop a framework to examine the impact of social acceptance and consumer learning on DGS. The research tested a structural model based on data collected from 611 North American participants.

Findings

This study found that the social acceptance of DGS directly and consumer learning indirectly affects the appeal of grocery shopping to consumers and consequently increases their intention to adopt this new shopping method. Furthermore, the results indicated that both hypothesised directions are parallelly mediated by digital convenience, the consumer’s digital readiness and digital trust.

Originality/value

This study extends the understanding of consumer adoption of DGS by highlighting the influence of consumer knowledge about DGS on their behavioural intention. Several important theoretical and practical implications are provided to help retail managers to develop service strategies.

Article
Publication date: 21 December 2021

Taha Jafari, Azim Zarei, Adel Azar and Alireza Moghaddam

The paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.

1991

Abstract

Purpose

The paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.

Design/methodology/approach

The study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.

Findings

The results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.

Originality/value

To the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 5
Type: Research Article
ISSN: 1741-0401

Keywords

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