The authors examine the implications of electronic shopping for consumers, retailers, and manufacturers. They assume that near-term technological developments will offer consumers unparalleled opportunities to locate and compare product offerings. They examine these advantages as a function of typical consumer goals and the types of products and services being sought and offer conclusions regarding consumer incentives and disincentives to purchase through interactive home shopping vis-à-vis traditional retail formats. The authors discuss implications for industry structure as they pertain to competition among retailers, competition among manufacturers, and retailer-manufacturer relationships.

Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in

체험마케팅(Experiential Marketing)의 오해와 진실

Predicting green product consumption using theory of planned behavior and reasoned action

Factors Affecting Green Purchase Behaviour and Future Research Directions

This article advances our understanding of the influence of affect in consumers’ responses to brief, nonpersonal service encounters. This study contributes to the services marketing literature by examining for mundane service transactions the impact of customer-displayed emotion and affect on assessments of the service encounter and the overall experience. Observational and perceptual data from customers were matched with frontline employees in 200 transaction-specific encounters. The results of this study suggest that consumers’ evaluations of the service encounter correlate highly with their displayed emotions during the interaction and postencounter mood states. Finally, the findings indicate that frontline employees’perceptions of the encounter are not aligned with those of their customers. The managerial implications of these findings are briefly discussed.

The Role of Emotions in Service Encounters

Environmental concern and environmental purchase intentions: The mediating role of learning strategy☆

From data to action: How marketers can leverage AI

Purpose – The purpose of this paper is to understand how consumers may be segmented with respect to their reactions to social network marketing. Design/methodology/approach – Consumers are segmented on the basis of attitudes toward social network marketing and the association among psychological, economic, and socio-demographic covariates are explored using data from 883 consumers and latent-class analysis. Findings – A total of five segments are identified – Passive, Talkers, Hesitant, Active, and Averse – along with significant covariates, such as information search, convenience, entertainment, age and gender that predict membership. Research limitations/implications – Evidence was found of two segments that are highly impacted by social network marketing in terms of brand engagement, purchase intention and WOM referral intention. The most engaged – the Active – representing approximately 10 percent, is most open to interacting with brands in social networks, likely to make a purchase as a result of the...

Carla Ferraro

Papers

Environmental concern and environmental purchase intentions: The mediating role of learning strategy☆

From data to action: How marketers can leverage AI

Segmenting consumer reactions to social network marketing

The role of fashionability in second-hand shopping motivations

Segmenting multichannel consumers across search, purchase and after-sales