The role of smart technologies in decision making: developing, supporting and training smart consumers

Pantano, Eleonora

doi:10.1080/0267257x.2019.1688927

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…However, they fail to explicate the effectiveness of promotional messages and content marketing on consumer's change in attitude and decision making. Therefore, these research gaps still exist in the marketing literature related to the new technologies (Boyd & Koles, 2018; Dwivedi et al., 2020; Jung et al., 2018; Kim & Wang, 2018; Moreau et al., 2018; Pantano, 2018; Rauschnabel et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

The role of elaboration likelihood model in consumer behaviour research and its extension to new technologies: A review and future research agenda

Shahab

Ghazali

Mohtar

2021

Int J Consumer Studies

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During the last decade, research on new technologies such as virtual reality and augmented reality in the context of marketing has gained notable attention from the marketing researchers. Researchers are trying to understand consumer behaviour with the aid of new technologies, but only a few consumer behaviour theories are being used in the context of marketing, for example, theory of planned behaviour, self‐determination theory, technology acceptance model, uses & gratification theory and innovation diffusion theory. These theories can successfully predict consumer's motivation, behavioural intentions and technology adoption. However, they are unable to explicate the effectiveness of promotional messages and content marketing on consumer's change in attitude and decision making. Surprisingly, theories that are actually capable to do so, for example, elaboration likelihood model (ELM), have been overlooked by the researchers. This could be because classical theories are unable to comprehend the new technologies, and hence, it is pertinent to enhance the spectrum of the classical theories. Therefore, the goal of this theory‐based systematic literature review is to assess the ELM literature to address the existing research gaps in the marketing literature. The research string used in this study was developed by using Boolean operators to search databases, and Preferred Reporting Items for Systematic Reviews and Meta‐Analyses framework was adopted to increase the efficiency of the searching process. A total of 762 suitable articles were considered for the initial screening, however, only 68 articles met the inclusion criteria and were included in the study. These articles were analysed to propose future research agenda by including the under‐looked constructs and theories.

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Section: Introductionmentioning

confidence: 99%

The role of elaboration likelihood model in consumer behaviour research and its extension to new technologies: A review and future research agenda

Shahab

Ghazali

Mohtar

2021

Int J Consumer Studies

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“…Due to the acquired data, companies can analyze consumer profiles and develop products with potential interests for the target audience. Smart technologies play a vital role in "practical notions of access to the store, consumer engagement and experience with the new forms of interaction that are at stake with the more social side of the shopping activity" [9]. Businesses rely on high interaction levels with consumers.…”

Section: Joint Scientific Journalmentioning

confidence: 99%

Business Response to Market Tendencies: Consumerism, Ai, E-Commerce, and Their Influence on Modern Societies

Ratushniak¹

2020

BESLI

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Businesses have a high reliance on consumer behavior due to the impact of tendencies and market forces. They continually adapt and change their performance to increase performance and consumer satisfaction in changing market conditions. Those forces include consumerism which requires substantial business preparation to satisfy customer demands. The development of AI leaves a visible trace in business-consumer communication, including moments of truth that can affect future communities. Compound components affect business marketing, advertising, and e-commerce presence. For this reason, this paper researches the influence of consumerism and the rise of AI on business accommodation and its role in modern societies.

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Intelligent Method for Forming the Consumer Basket

Lipyanina-Goncharenko

Wolff²,

Chyzhovska³

et al. 2022

Communications in Computer and Information Science

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The role of smart technologies in decision making: developing, supporting and training smart consumers

Cited by 4 publications

References 18 publications

The role of elaboration likelihood model in consumer behaviour research and its extension to new technologies: A review and future research agenda

The role of elaboration likelihood model in consumer behaviour research and its extension to new technologies: A review and future research agenda

Business Response to Market Tendencies: Consumerism, Ai, E-Commerce, and Their Influence on Modern Societies

Intelligent Method for Forming the Consumer Basket

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