Abstract

problem of non-acceptance of new information technologies becomes a predominant obstacle that results in companies’ losses and represents an arena of avid debate for researchers. Hereof this netnographic study explores changes in the individual beliefs that contribute to new information system acceptance such as autopilot in the light of the Technology Acceptance model (TAM). The research takes place within three automobile communities related to Tesla Motors and uses content analysis for its collected data. Based on the findings new influencers on individual beliefs emerge hence the research proposes to incorporate these determinants into the adopted TAM model. This study has theoretical, practical and methodological contributions.

Abstract

With the increasing environmental problems, sustainable consumption is an important consumer behavior. Therefore, it is important to investigate further the significant drivers to and barriers against sustainable consumption, in order to increase the share of sustainable consumption and understanding of consumer behavior. This dissertation identifies two gaps. The first is in understanding consumer positive and negative anticipated emotions as an important factor influencing high-involvement sustainable consumption. The second gap relates to the lack of understanding about the associations between anticipated emotions and personal moral norms in high-involvement sustainable consumption. Against this background, the aim is to contribute to the sustainable consumption literature by investigating the roles and relations of anticipated emotions, personal moral norms, and weighing costs and benefits as drivers to and barriers against consumer adoption of a high-involvement sustainable product. A literature review and two empirical studies were conducted. Consumer adoption of alternative fuel vehicles is the specific sustainable consumption. Using quantitative methods, this phenomenon is investigated in the empirical studies conducted in Sweden. It was shown that anticipated emotions have direct effects on consumers' intention to adopt alternative fuel vehicles. Moreover, positive anticipated emotions (e.g. pride, pleasure, happiness) are drivers of sustainable consumption, while negative anticipated emotions (e.g. regret, embarrassment) are barriers against the sustainable consumption. This dissertation suggests an extension to the norm activation model, and shows that moral norms, ascription of responsibility, and awareness of environmental problems influence consumers' intentions through consumers’ anticipated emotions. For people who perceive high social norms related to decreasing the environmental impacts of car driving, the influence of positive anticipated emotions and personal moral norms are stronger. This points toward the social aspect of sustainable consumption and suggests that targeting the consumers who perceive high social norms is an important step to promoting sustainable consumption. Findings would be of relevance to marketers, policymakers and environmental organizations. Creating awareness and communicating personal responsibilities and moral norms related to the environment and consumption are important drivers for consumer adoption of sustainable products. However, it is noteworthy that consumer anticipated emotions about high-involvement sustainable products (such as alternative fuel vehicle) have also important influence on the sustainable consumption. Thus, consumer anticipated emotions should be considered in designing promotion programs.

Abstract

In spite of the purported positive environmental consequences of electrifying the light duty vehicle fleet, the number of electric vehicles (EVs) in use is still insignificant. One reason for the modest adoption figures is that the mass acceptance of EVs to a large extent is reliant on consumers’ perception of EVs. This paper presents a comprehensive overview of the drivers for and barriers against consumer adoption of plug-in EVs, as well as an overview of the theoretical perspectives that have been utilized for understanding consumer intentions and adoption behavior towards EVs. In addition, we identify gaps and limitations in existing research and suggest areas in which future research would be able to contribute. Document type: Article