Search results

This study investigates the relationship between social commerce adoption determinants, perceived trust and purchase behaviour among pastry product consumers.

The research data were collected using a five-point Likert from 409 pastry consumers through an online survey. Partial least square-structural equation modelling (PLS-SEM) was utilised to test the study model and hypotheses.

The study findings indicate that pastry consumers perceived social commerce as effortless, engaging, enjoyable, can be trusted, simple to use and time-saving, motivating them to consume pastry products via social commerce platforms.

This study provides insights and implications for social commerce researchers and marketers related explicitly to perishable products.

This study is one of the few studies that predict and explain the consumer acceptance of social commerce in the pastry products realm. As only a handful of research has endeavoured to research social commerce, this study findings contribute to the conceptualisation of technology acceptance theory by understanding the determinants of social commerce adoption among consumers.

Due to deregulation, the New Zealand retail banking environment is characterized by change, especially in the area of self‐service technologies. The success of these technology projects has been mixed, and one must question whether or not the suppliers of these technologies have a true understanding of consumer needs. Draws a comparison between what the consumers see as being important influences in the adoption or non‐adoption of retail banking self‐service technologies; and what the suppliers of these technologies (i.e. banking and technology experts) perceive as being important influences in the consumer adoption or non‐adoption of self‐service retail banking technologies. To achieve this, a review was conducted of the literature relating to consumer surveys which investigated why consumers do or do not adopt the main self‐service technology in retail banking: automated telling machines. The themes from this review were identified. A Delphi study was then conducted with New Zealand′s leading experts in the area of retail banking technologies. A comparison between the themes from the literature and the results of the Delphi study indicated that the suppliers of technology do in fact have an understanding of those variables, which affect consumer adoption of self‐service technologies in retail banking.

This paper aims to cross-culturally compare how consumers in China and Australia adopt cloud computing services. Cloud computing is one of the major innovation advances in information technology. In order for more consumers to adopt cloud computing as a technological innovation, there needs to be a better understanding of the issues involved in consumer adoption processes for online retailers. While there is an increasing amount of interest in cloud computing as a technological innovation, there is an important need to examine the reasons why consumers purchase cloud computing services for online retailers.

In this paper, the technology acceptance model and social cognitive theory are identified as the theoretical frameworks to understand the consumer purchase intention of cloud computing services. A set of research hypotheses are stated from both theoretical frameworks to test their relationship with a consumer’s intention to adopt cloud computing as a technological innovation. These hypotheses focus on perceived usefulness, perceived ease of use, online behavioural advertising knowledge, social networks and online privacy concerns, which will help online retailers understand how cloud computing can be utilized by consumers to store and access online retail information.

The findings of the study outline the different areas of technological innovation research that are needed to advance the information technology industry in the future. The findings suggest that perceived ease of use, perceived usefulness and online privacy concerns can determine a consumer’s intention to adopt cloud computing, but online behavioural advertising knowledge and social networks differ among consumers in different countries.

The key issues influencing consumer adoption of cloud computing are outlined, which due to the emerging nature of this technological innovation will influence the regulation and marketing of cloud computing services by firms and governments in the technology sector.

Today the research area on technology acceptance is mainly dependent on the theory of technology acceptance model (TAM). The TAM was used in this study primarily for the purpose of providing a basis for determining the impact of various external variables on the adoption of edtech platforms. The TAM is a theory of information systems that suggests steps for learners to take as they adopt and use new technologies. The primary TAM variables for adoption of edtech platforms are evaluated in this study: perceived usefulness (PU) and perceived ease of use (PEOU) by using the factors – perceived enjoyment (PE), information quality, electronic-word of mouth (e-WOM), perceived compatibility, computer self-efficacy and objective usability. By analyzing and defining the relationship between the external variables with respect to the adoption of edtech platform among students, we hope to contextualize the TAM model. The end result provides a clearer understanding of TAM and its growth as a useful model for technology adoption studies and for clarifying the relationship between the uptake of edtech platforms and technological acceptability. The study employed a qualitative methodology and selected publications and research papers about the adoption of technology. These were then carefully assessed, analyzed and scrutinized for the terms of how students adopted edtech platforms. It was proposed that the adoption of an edtech platform may result from proper training in technology usage and its application to real-world scenarios.

The purpose of this study is to empirically examine the interrelationship between customer acceptance and usage of self-ordering kiosks, purchase behaviour and post-purchase behaviour in quick-service restaurants. This study also hypothesised that the perceived safety risk moderates the relationship between customer purchase and post-purchase behaviour.

This study adopted a quantitative research methodology using an online survey. During the data collection process, 430 responses were obtained. The partial-least square-structural equation modelling was used to test the study’s model and hypotheses.

The results of this study indicated that performance expectancy, effort expectancy, facilitating conditions, social influence, facilitating conditions, hedonic motivation and trust significantly influence purchase behaviour through the self-ordering kiosks. Meanwhile, price value and customer habit did not affect purchasing behaviour, while perceived safety risk as a moderator does not influence re-purchase behaviour.

This study provides valuable implications for foodservice researchers and marketers related explicitly to technology adoption in restaurant services. Given the positive outlook on self-ordering kiosk usage, quick-service restaurants should continuously improve their ordering kiosk adoption and efficiency, especially during the health pandemic.

This study is one of the few to predict and explain the consumer acceptance of self-service kiosks by integrating the Unified Theory of Acceptance and Use of Technology 2 model with other essential behavioural constructs. The inclusion of trust and perceived safety risk construct enhances the study model’s adaptability during health crises.

In this article the authors report the results of a study of use of automated teller machines (ATMs) in Canada. A total of 255 users and non‐users were interviewed regarding their use of ATMs, shopping motivations, attitudes towards and familiarity with technology, age, education and employment status. Discriminant analysis revealed that convenience shopping orientation, attitudes towards ATM technology, social shopping orientation, familiarity with other new technologies and education were very good predictors of ATM use and non‐use. Implications for developing ATM marketing strategy are given.

This paper aims to identify and empirically validate the various factors for adoption, usage and intention to recommend e-pharmacy for purchasing medications by consumers.

Based on constructs from well-established theoretical models, the technology acceptance model, extended unified theory of acceptance and use of technology and self-determination theory, a model was proposed for the study. The model was validated with a sample size of 184 respondents using partial least squares method and factor analysis to establish and validate relationships among the various identified constructs.

The results show that performance expectancy, effort expectancy, social influence and hedonic motivation have a positive co-relation with adoption of e-pharmacy and the intention to recommend. The results depict that gender and educational background have no correlation toward adoption and intention to recommend e-pharmacies for purchasing medicines in India.

This research comes along with a geographic limitation of the sample size. The research was conducted in an urban suburb city of Bengaluru, India.

At an academic level, this research will provide interesting insights for exploring adoption and usage intention of consumers toward e-pharmacy. At a managerial level, this empirically supported study will provide insights into the relationship among the various constructs and the consumers’ motivation toward adoption and usage intention of e-pharmacy.

This research is the first of its form which uses constructs from the technology acceptance model, extended unified theory of acceptance and use of technology and self-determination theory in the online healthcare space to understand consumer usage behavior.

This study proposes a conceptual model to comprehensively understand how sports fans perceive and accept smartphones and applications in a sport consumption context by developing a series of propositions. Theoretically based on the Technology Acceptance Model (TAM) and the Sport Website Acceptance Model (SWAM), this study provides fundamental groundwork to better conceptualise sports fans' decision making processes involving the latest technology used to consume sport.

The purpose of this study is to determine the factors that underpin consumer switching intention in the smartphone industry. Most of the literature on brand switching uses conventional models that lack the ability to explain this behavior for high-technology products. Such products have unique characteristics that make the switching process more challenging from the consumer perspective.

The proposed model is built based on the related theories that consider the distinctive aspects of high-technology products. Furthermore, two variables “relative advantage of product features” and “company innovativeness” are introduced for the first time to evaluate consumer attitude to switch a high-technology product. The smartphone industry was selected to test the proposed model, where an online survey was sent to Apple and Samsung users.

The results confirm the expectation that perceived product usefulness, perceived ease of use and relative advantage of product features are the major factors driving the intention of users to switch, whereas subjective norms have limited impact. The financial cost of switching is the main barrier to consumers’ decision to switch to a new technology. The pleasure consumers feel toward their brand and the other brand is positively associated with their attitude toward switching.

This research contributes to the literature on brand switching by introducing a comprehensive model that explains consumer switching behavior of high-technology products. Research findings would allow managers to draft better marketing strategies to improve consumer brand awareness.

The majority of literature on brand switching uses simple models to explain consumer behavior. This study is the first attempt to build a comprehensive model that considers the characteristics of high-technology products and how they shape consumer behavior during the decision-making process.

Pro-poor innovations are innovations targeted at economically poor consumers. These innovations have the potential to improve consumer wellbeing. However, while take up of some such innovations has been rapid (e.g., mobile phones) take up of others has been slower (e.g., fuel efficient stoves). What explains why some pro-poor innovations fail and some succeed? While the literature on consumer innovation adoption in economically wealthy countries is vast, there is very little literature in the context of the “bottom-of-the-pyramid” (BoP) and subsistence marketplaces. This chapter aims to begin answering this question through a review of the extant literature in the area of consumer innovation adoption, which is integrated with literature in the area of consumption within subsistence marketplaces and the BoP. A conceptual model is proposed which outlines key parameters for marketers and managers. The chapter closes by outlining implications and a future research agenda.