Shopping centers revisited: The interplay between consumers’ spontaneous online communications and retail planning

Pantano, Eleonora; Dennis, Charles; Pietro, Michela De

doi:10.1016/j.jretconser.2021.102576

Cited by 20 publications

(11 citation statements)

References 76 publications

(59 reference statements)

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“…Many studies have confirmed that environmental elements significantly affect customers' emotions and purchasing behavior. In addition, Pantano et al (2021) investigated the impact of time convenience on customer patronage behavior. They showed that time convenience was a determinant of customer choice for shopping location.…”

Section: Conceptual Modelmentioning

confidence: 99%

“…Combining digital and online technologies, these car companies launch digital platforms with unique page layouts, background music, novel short films, and comprehensive services. These measures create a comfortable and harmonious atmosphere and attract customers to immerse themselves in browsing the pages, thus enhancing their EEV (Pantano et al, 2021). At the same time, the more frequently customers interact with online environmental services, the more knowledge and skills they learn about EVs.…”

Section: Conceptual Modelmentioning

confidence: 99%

“…Many studies have provided empirical evidence to support the view that EPV significantly affects consumer purchasing intention and behavior. The value of shopping is provided by the complete shopping experience rather than simply purchasing the product (Pantano et al, 2021). Studies have demonstrated that purchasing behaviors do not always depend on economic rationality; instead, they are primarily motivated by emotions (Groth, 2016).…”

Section: Impact Of Epv On the Intention To Purchase Evsmentioning

confidence: 99%

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The impact of interaction on the adoption of electric vehicles: Mediating role of experience value

Wang²,

Cheng³

et al. 2023

Front. Psychol.

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The widespread adoption of electric vehicles (EVs) largely depends on the acceptance of the public. Previous studies pay more attention to the factors affecting EV adoption from the customer perspective but lack the perspective of the interaction between sellers and customers. Based on a survey of 1,014 respondents in China, this work developed a research model analyzing the effect of interaction on the intention to purchase EVs and using experience value (EPV) as the mediating variable. The results showed that the functional experience value (FEV) was positively affected by the environment–customer interaction (ECI). The FEV, emotional experience value (EEV), and social experience value (SEV) were all positively affected by salesman–customer interaction (SCI). In addition, they all had positive impacts on purchasing intention (PI). We further analyzed the differences in the interaction between the different business models. Compared with multi-business model car companies, the ECI for single-business model car companies had a more positive impact on the PI. However, the impact of ECI for single-business model companies on PI was negative. The SCI of single-business model car companies positively impacted the PI, whereas the SCI of multi-business model car companies had no significant impact on the PI. These findings provide insight into further understanding the mechanism of interactions affecting EV adoption and help perfect future promotion strategies.

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Section: Conceptual Modelmentioning

confidence: 99%

Section: Conceptual Modelmentioning

confidence: 99%

Section: Impact Of Epv On the Intention To Purchase Evsmentioning

confidence: 99%

See 1 more Smart Citation

The impact of interaction on the adoption of electric vehicles: Mediating role of experience value

Wang²,

Cheng³

et al. 2023

Front. Psychol.

View full text Add to dashboard Cite

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“…Other studies use other models such as the recency, frequency, and monetary (RFM) model to observe behavior patterns [131]. They even use data from unsolicited communications from consumers on Twitter related to shopping malls [132] or discover how emotional robots can influence the affective feelings of potential consumers on Instagram [93].…”

Section: A Consumer Behaviormentioning

confidence: 99%

Machine Learning and Marketing: A Systematic Literature Review

2022

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Even though machine learning (ML) applications are not novel, they have gained popularity partly due to the advance in computing processing. This study explores the adoption of ML methods in marketing applications through a bibliographic review of the period 2008-2022. In this period, the adoption of ML in marketing has grown significantly. This growth has been quite heterogeneous, varying from the use of classical methods such as artificial neural networks to hybrid methods that combine different techniques to improve results. Generally, maturity in the use of ML in marketing and increasing specialization in the type of problems that are solved were observed. Strikingly, the types of ML methods used to solve marketing problems vary wildly, including deep learning, supervised learning, reinforcement learning, unsupervised learning, and hybrid methods. Finally, we found that the main marketing problems solved with machine learning were related to consumer behavior, recommender systems, forecasting, marketing segmentation, and text analysis-content analysis.

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“…Previous research has shown that online shopping was driven primarily by utilitarian motivation [58][59][60]. These utilityfocused consumers make purchase decisions based on the rational needs associated with specific goals and seek an efficient, rational, and thoughtful online shopping experience [58,[61][62][63]. Based on previous research, we propose the following hypothesis:…”

Section: Moderating Role Of Communication Channelsmentioning

confidence: 99%

Influence of Communication Channel and Information Form on Consumers' Purchase Behaviour

2022

Teh. vjesn.

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Along with the popularity of the omni-channel strategy and new communication technology, companies can communicate with consumers using different forms of information (listed or narrative), both online and offline. However, the effectiveness and mechanism of information forms on consumer behaviour remain unclear. This study investigates the different effects of information forms on consumers' purchase behaviour, both online and offline. Two surveys and four laboratory experiments were conducted to investigate whether and why consumers would react differently to information forms within different communication channels. The empirical results indicated that, for highly involved consumers, online listed information was more effective than narrative information, while the opposite was true in offline situations. However, for consumers with low involvement, listed information was more effective than narrative information both online and offline. The results showed that the influence of information forms was mediated by consumers' perceived information quality. Our findings extend the current understanding of how information affects consumers' behaviours and provide practical suggestions for marketers' omni-channel operations.

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Shopping centers revisited: The interplay between consumers’ spontaneous online communications and retail planning

Cited by 20 publications

References 76 publications

The impact of interaction on the adoption of electric vehicles: Mediating role of experience value

The impact of interaction on the adoption of electric vehicles: Mediating role of experience value

Machine Learning and Marketing: A Systematic Literature Review

Influence of Communication Channel and Information Form on Consumers' Purchase Behaviour

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