General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms which has been criticized for having a deterministic approach without much consideration for users' individual characteristics. Therefore, this study applied the Unified Theory of Acceptance and Use of Technology (UTAUT), extended with more consumer-related constructs, to explore the factors affecting non-users' intentions to adopt RMP in the UK. Quantitative data was collected (n=268) and structural equation modeling was undertaken. The findings revealed that performance expectancy, social influence, innovativeness, and perceived risk significantly influenced non-users' intentions to adopt RMP, whereas effort expectancy did not. Inclusion of MP knowledge as a moderating variable revealed that there was a significant difference in the effect of trust on behavioral intention for those who knew about MP than for those who did not.These findings have important theoretical and practical implications, particularly for the development and marketing of RMP which will support the long-term success of mobile commerce.
The aim of this research is to synthesise findings from existing studies on the characteristics of source credibility of electronic word of mouth (eWOM) communications in a single model by using meta-analysis. Findings from 20 research papers show that source expertise, trustworthiness, and homophily significantly influence perceived eWOM usefulness and credibility, intention to purchase, and information adoption. The results of this study add to existing knowledge of the influence of source characteristics on consumer behaviour, which will advance our understanding of information processing. Marketers can use the findings of this meta-analysis to enhance their marketing activities.
Exploring consumer adoption of proximity mobile payments The widespread penetration of proximity mobile payment systems could drastically change the methods in which consumers purchase goods and services. However, earlier forecasts of the success of these systems have been substantially reduced due to lower than anticipated uptake of the supporting Near Field Communication (NFC) technology. This study explores the potential of a new model of consumer technology adoption, and its extension with trust and risk constructs, in explaining non-users' adoption of proximity mobile payments. Analysis of data collected from 244 UK consumers reveals that the extended model explains more variance in behavioural intention, but performance expectancy remains the strongest predictor across both models. The findings provide new and important theoretical and practical contributions, particularly for strategic development and marketing of proximity mobile payments in the UK.
The aim of this research is to synthesise findings from previous studies by employing weight and meta-analysis to reconcile conflicting evidence and draw a “big picture” of eWOM factors influencing consumers’ intention to buy. By using the findings from 69 studies, this research identified best (e.g. argument quality, valence, eWOM usefulness, trust in message), promising (e.g. eWOM credibility, emotional trust, attitude towards website) and least effective (e.g. volume, existing eWOM, source credibility) predictors of intention to buy in eWOM research. Additionally, the effect size of each predictor was calculated by performing meta-analysis. For academics, understanding what influences consumers’ intention to buy will help set the agenda for future research directions; for practitioners, it will provide benefit in terms of practical guidance based on detailed analysis of specific factors influencing consumers’ intention to buy, which could enhance their marketing activities.
Major environmental issues facing our planet are considered to be partly rooted in consumer overconsumption that has resulted from high economic growth. Pro-environmental behaviours (PEBs) have been studied extensively in developed Western countries but more research is needed in developing non-Western countries. Additionally, there are increasing calls for research providing broader theoretical and behavioural explanations of consumers' intentions to adopt PEBs. Therefore, the aim of this research was to examine the factors affecting consumers' PEBs in Saudi Arabia. Quantitative data (n=613) were collected using a survey method. The proposed conceptual model and associated hypotheses were tested using structural equation modelling. The results revealed that consumers' intentions to adopt direct-and indirect-PEBs are affected by innovativeness, materialism, perceived consumer effectiveness, and environmental concern, but not by social influence. Evidence was also found of differences between younger and older respondents. These findings can be used to formulate effective marketing strategies to benefit the environment, society, and sustainable companies in the country.
Organisations are increasingly utilising social media to advertise to, and interact with, consumers. Sponsored advertisements embedded into targeted users' social media feeds appear less invasive than standalone advertisements but, unlike organic postings, incur financial cost. Given that friends' posts attract most attention, this research employs Uses and Gratifications theory to determine salient motivations for users' intentions to share sponsored advertisements, framed in the tourism context. Survey data was collected (n = 487) and analysis revealed altruism, entertainment, socialising, and information seeking to be significant positive drivers of intention to share tourism-related sponsored advertisements on Facebook. Notably, information sharing was found to have a negative effect, while self-expression had no significant effect. In addition, the motivations were not found to significantly differ between males and females. This study contributes to theoretical understanding of users' intentions to share sponsored advertisements within the social media environment and provides practical recommendations to help tourism marketers maximise reach.
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