Understanding the Choice of Collection &amp; Delivery Point by the E- Consumer via a Machine Learning Model: Moroccan Case Study

Moussaoui, Alaâ Eddine El; Moussaoui, Taoufiq El El; Benbba, Brahim; Jaegler, Anicia; Andaloussi, Zineb El

doi:10.1016/j.procs.2022.10.138

Cited by 7 publications

(9 citation statements)

References 11 publications

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“…It was realized through Principal Component Analysis (PCA), which is a factorial analysis technique. The second phase was devoted to testing the research hypotheses on the basis of the data collected (El Moussaoui, Benbba, & El Andaloussi, 2022; El Moussaoui, Benbba, & El Andaloussi, 2022, El Moussaoui, El Moussaoui, Benbba, Jaegler, & El Andaloussi, 2022). There are various statistical tools for testing relational research hypotheses.…”

Section: Methodsmentioning

confidence: 99%

“…There are various statistical tools for testing relational research hypotheses. In this article, we have opted for multiple linear regression, an analytical model designed to explain the variance of a specific factor through a combination of explanatory variables (El Moussaoui, Benbba, & El Andaloussi, 2022; El Moussaoui, Benbba, & El Andaloussi, 2022, El Moussaoui , El Moussaoui, Benbba, Jaegler, & El Andaloussi, 2022).…”

Section: Methodsmentioning

confidence: 99%

“…Today, online shopping has significantly increased the level of competition in the online market (Akroush & Al-Debei, 2015) and changed consumer habits (Kühn & Petzer, 2018; El Moussaoui, Benbba, & El Andaloussi, 2022; El Moussaoui, Benbba, & El Andaloussi, 2022, El Moussaoui, El Moussaoui, Benbba, Jaegler, & El Andaloussi, 2022). Indeed, several research studies have concentrated on consumers' online shopping intentions in different contexts.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

“…, El Moussaoui, El Moussaoui, Benbba, Jaegler, & El Andaloussi, 2022. There are various statistical tools for testing relational research hypotheses.…”

mentioning

confidence: 99%

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Determinants of consumer's online shopping intention during COVID-19

Moussaoui¹,

Benbba²

2023

JEBDE

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PurposeThis paper aims to determine the factors that influence the consumer’s online shopping intention in the current pandemic context (COVID-19). For this purpose, a conceptual model has been developed by introducing the constructs “attitude,” “perceived utility,” “intention” as well as the variable “perceived risk of contagion.”Design/methodology/approachAfter collecting data from the questionnaire diffused in Moroccan e-commerce websites, this study used various statistical analyses with the multiple regression model on the SPSS statistical software to confirm or refute the research hypotheses.FindingsThe results indicate that attitude and perceived utility positively affect online shopping intention. However, the variable “perceived risk of contagion” has a weak effect on such intention, which can be explained by the period in which the survey was started (a few months after the confinement).Originality/valueThe scientific contribution of this study lies in the insertion of a new factor that will be called “perceived risk of contagion” in the research model. This factor has been inspired by the perceived risk theory of Bauer (1960). Furthermore, all studies dealing with this topic have been carried out in developed countries, such as France, Great Britain, Germany and the USA. For this reason, the researcher believe that it is more appropriate to study the intention to buy online during the COVID-19 pandemic in one of the developing countries, such as Morocco. This is based on the fact that to develop theories, it is necessary to examine a given problem in several countries. The context plays a determining role in such situations.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

“…, El Moussaoui, El Moussaoui, Benbba, Jaegler, & El Andaloussi, 2022. There are various statistical tools for testing relational research hypotheses.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Determinants of consumer's online shopping intention during COVID-19

Moussaoui¹,

Benbba²

2023

JEBDE

Self Cite

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show abstract

“…Starting with gender, this factor has a direct impact on the willingness of consumers to buy on the internet. According to [27], men have a higher propensity to purchase online compared to women. This finding is contradictory to the studies conducted by [28] which showed that women buy online more than men.…”

Section: Consumer's Online Shopping Behaviormentioning

confidence: 99%

Consumer Perceptions of Online Shopping and Willingness to Use Pick-Up Points: A Case Study of Morocco

et al. 2023

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The use of pick-up points by consumers is one of the most developed areas of research in the literature on last-mile logistics over the last decade. In this regard, several researchers have attempted to expose the factors that influence consumers’ online shopping behavior and their willingness to use pick-up points. However, no study has addressed this issue in African countries. The aim of this research is to examine the online shopping behavior of Moroccan consumers, focusing on their opinions about using pick-up points to receive/return goods purchased online. This research adopted a qualitative approach through focus group sessions with Moroccan consumers. The results indicate that temporal and spatial flexibility, competitive prices, and the quality of the retailer’s website are the main factors encouraging consumers to buy online. On the other hand, product risk, delivery risk, privacy, and security were identified as the factors that prevent consumers from buying online. In contrast, the location, density, security, and opening hours of pick-up points were considered to be the factors that influence the Moroccan consumer’s choice to use this delivery option when buying online. These findings are important both for parcel delivery companies that want to establish pick-up point networks in Casablanca and for public authorities and local communities that want to formulate policies and implement strategies leading to more sustainable urban environments.

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Sustainable effects of information sharing between distribution logistics actors: a qualitative case study

El Moussaoui,

Benbba

et al. 2024

Environ Dev Sustain

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Understanding the Choice of Collection & Delivery Point by the E- Consumer via a Machine Learning Model: Moroccan Case Study

Cited by 7 publications

References 11 publications

Determinants of consumer's online shopping intention during COVID-19

Determinants of consumer's online shopping intention during COVID-19

Consumer Perceptions of Online Shopping and Willingness to Use Pick-Up Points: A Case Study of Morocco

Sustainable effects of information sharing between distribution logistics actors: a qualitative case study

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