Exploring the influences of personal attitudes on the intention of continuing online grocery shopping after the COVID-19 pandemic

Asgari, Hamidreza; Azimi, Ghazaleh; Titiloye, Ibukun; Jin, Xia

doi:10.1016/j.tbs.2023.100622

Cited by 16 publications

(9 citation statements)

References 89 publications

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“…Furthermore, they indicated the signi cant role of income and COVID-19 restrictions in online shopping frequency during the pandemic. Another study conducted by Asgari et al (Asgari et al, 2023) in South Florida employs SEM to explore both observed and latent attitude variables. Their ndings underscore the signi cance of experience with online grocery platforms as a crucial factor in uencing continued use.…”

Section: Wfh Literaturementioning

confidence: 99%

The Interaction Between the Recent Evolution of Working from Home and Online Shopping

Mohammadi,

Davatgari,

Asgharpour

et al. 2024

Preprint

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The growing behaviors of work-from-home (WFH) and online shopping hold significant potential for reducing traffic congestion and emissions. Understanding the frequency and the interplay between these two behaviors is important for successful implementation. This study investigates the recent trends of WFH and online shopping and the underlying factors influencing individuals’ decisions on these two behaviors. Focusing on non-grocery online shopping, this study uses comprehensive survey data collected across the United States during October and November 2021. We develop a Generalized Structural Equation Model (GSEM) to jointly examine WFH and online shopping frequency and their interaction. Moreover, the study investigates the psychological aspects of WFH and online shopping, introducing four stochastic latent constructs—WFH comfort, WFH unproductiveness, online shopping enjoyment, and online shopping inconvenience using the attitudinal variables. Results indicate a positive causal relationship, suggesting that increased WFH promotes online shopping engagement. Perceived comfort and productivity at home affect WFH frequency shaped by factors like home workspace, commuting time, childcare responsibilities, and telecommunications with co-workers. Likewise, perceived convenience and enjoyment significantly affect online shopping, influenced by aspects such as timesaving, and the delivery and return process. Technological tools at home also play a role in WFH frequency. Demographic factors like age, race, income, physical disability, and mode choice habits correlate with WFH and online shopping incidence, while job category and employer flexibility influence WFH frequency. These insights can help policymakers to regulate remote work and online shopping activities as they continue to grow.

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Section: Wfh Literaturementioning

confidence: 99%

The Interaction Between the Recent Evolution of Working from Home and Online Shopping

Mohammadi,

Davatgari,

Asgharpour

et al. 2024

Preprint

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“…, 2023). In the post-COVID-19 era, greater convenience, easiness, quick delivery, efficiency and consumers' busy work schedules are important drivers of continuing OGS consumption (Asgari et al. , 2023; Gruntkowski and Martinez, 2022; Monoarfa et al.…”

Section: Background Literaturementioning

confidence: 99%

“…Consumers' OGS intention is driven by utilitarian and hedonic benefits (Hoh et al, 2023). In the post-COVID-19 era, greater convenience, easiness, quick delivery, efficiency and consumers' busy work schedules are important drivers of continuing OGS consumption (Asgari et al, 2023;Gruntkowski and Martinez, 2022;Monoarfa et al, 2023). Instant consumption scenarios for OGS consumers are becoming more diversified, such as when they are reluctant to leave the house, when they encounter bad weather conditions and when they have urgent needs (Fuentes et al, 2022).…”

Section: Rq1mentioning

confidence: 99%

How brick-and-mortar retailers and grocery delivery platforms influence purchase intention?

Zhao,

Liu

2023

IJRDM

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PurposeConsumers worldwide are increasingly ordering groceries from grocery delivery platforms (GDPs). This study aimed to explore the role of brick-and-mortar (B&M) retailers and GDPs in online grocery shopping (OGS) experience, attitude and continuous purchase intention under the platform model of online grocery retailing.Design/methodology/approachThis study used a mixed method approach. A qualitative analysis was conducted based on 30 in-depth interviews and relevant literature to identify key attributes of the OGS experience. Then, data from 352 online grocery shoppers was used to examine the associations between service attributes, attitude and continuous purchase intention using a structural equation model.FindingsThe authors identified six key attributes of the OGS experience related to B&M retailers and GDPs. The quantitative study results showed that customer service, price value and instant delivery significantly impact attitude towards GDPs, while product quality, product assortment, customer service, price value and attitude toward GDPs positively impact online attitude toward B&M retailers. Online attitude toward B&M retailers significantly influences continuous purchase intention.Practical implicationsB&M retailers and GDPs should strengthen cooperation and joint oversight.Originality/valueThis study identified key attributes of the OGS experience associated with B&M retailers and GDPs under the platform model, giving a comprehensive understanding of the relationship between the OGS experience and behavioural intention when B&M retailers collaborate with GDPs.

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“…The Maximum Likelihood (ML) is the most prevalent estimation method used in most past studies that have explored online shopping behavior using SEM (Cao et al, 2012;Ding & Lu, 2017;Etminani-Ghasrodashti & Hamidi, 2020;Irawan & Wirza, 2015;Xue et al, 2021;Zhou & Wang, 2014). However, in the presence of ordinal endogenous variables, a modified approach known as the "Diagonally Weighted Least Squares" is suggested in the literature (Asgari et al, 2023;Mîndrilă, 2010;Muthén & Muthén, 2007;Rhemtulla et al, 2012;Sarker et al, 2023), and was used in this study. The DWLS approach is similar to other ordered response models in the sense that it separately converts the ordinal endogenous variables y into latent continuous variables y * , and consequently calculates their associated thresholds and polychoric correlations (Bollen, 1989).…”

Section: Model Estimationmentioning

confidence: 99%

“…Furthermore, this study leverages the structural equation modeling framework to explore the mediating role of attitudes between exogenous variables and shopping behavior -an aspect scarcely addressed in the shopping and travel behavior literature, except few select instances within discrete choice modeling frameworks (Meister et al, 2023;Schmid et al, 2016;Wang et al, 2023). Lastly, acknowledging Covid-19 influences on shopping-and travel-related attitudes (Asgari et al, 2023;Jiang et al, 2023;Thomas et al, 2021), this study considers attitudes towards unattended delivery and mobility preferences, among other factors, on shopping behavior across the specified product types. The results of this study are expected to enrich our understanding of the evolving dynamics between online and in-store shopping behaviors in the wake of the pandemic-induced shifts.…”

Section: Introductionmentioning

confidence: 99%

Online and in-store shopping interactions for non-essential experience goods

Titiloye,

Al Adib Sarker,

Asgari

et al. 2023

Comput.Urban Sci.

Self Cite

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The online and in-store shopping landscape underwent transformative shifts due to the Covid-19 pandemic, potentially leading to novel hybrid shopping behaviors following the availability of Covid-19 vaccines. However, these new dynamics, especially for non-essential experience goods which were heavily impacted by lockdowns, remain relatively unexplored. Moreover, variations in such dynamics within the same product class are not well understood. This study investigates the interactions between online and in-store shopping behaviors across four categories of non-essential experience goods: clothing, shoes, watches, and jewelry (CSWJ); beauty and health products (BH); toys, kids, and baby supplies (TKB); and home, garden, and tools (HGT). Data from over 2,000 Florida residents collected in early 2021, encompassing purchase frequencies, attitudes, and socio-demographic attributes, were analyzed using separate bidirectional structural equation models. Findings indicate that the relationship between online and in-store shopping for CSWJ and TKB exhibited reciprocal complementarity effects. In contrast, BH and HGT displayed an asymmetric reciprocal relationship, with in-store shopping showing no significant influence on online shopping. Results on the mediating influence of attitudes on shopping behaviors showed that a pro-online shopping attitude and preference for alternative travel modes positively influenced online shopping frequency, while the joy of shopping and data privacy/security concerns emerged as drivers of in-store shopping across all product categories. In sum, this study underscores the presence of product-specific heterogeneity even within the experience goods class, contributing to the complex interactions between online and in-store shopping behaviors.

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Exploring the influences of personal attitudes on the intention of continuing online grocery shopping after the COVID-19 pandemic

Cited by 16 publications

References 89 publications

The Interaction Between the Recent Evolution of Working from Home and Online Shopping

The Interaction Between the Recent Evolution of Working from Home and Online Shopping

How brick-and-mortar retailers and grocery delivery platforms influence purchase intention?

Online and in-store shopping interactions for non-essential experience goods

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