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This study aimed at investigating the guests’ experience dimensions and their effects on destination marketing bottom lines of satisfaction and revisit intention. This is borne of the overarching importance of customer experience (CX) which has been acknowledged by scholars and practitioners and understanding of the concept been sought from various sectoral perspectives. Admittedly, experience-based investigations in the hotel service sector have been scarce, particularly from a non-western context. The study utilised an intercept approach to collect data from 400 hotel guests in a city in Southern Nigeria. The research model and the formulated hypotheses were tested using partial least square structural equation model (PLS-SEM) with the aid of SmartPLS software. The study findings reveal that guest experience dimensions (utilitarian, hedonic and relational) have a positive and significant influence on guests’ revisit intention and satisfaction with the exception of hedonic experience whose relationship with satisfaction was statistically insignificant. Overall, the research model explained 56.5 per cent of the variance in guest satisfaction and 68.7 per cent on guest revisit intention. This study adds an empirically supported strategic direction for proper guest experience management in hotels from a non-western context.

Services providers’ recent inclusion of technology-enabled mechanisms in services delivery especially in banking sector in developing economies are significantly replacing earlier human-to-human dominated pattern of bank–customer relationships. Notwithstanding glaring penetration of self-service technology applications in bank service delivery, how its attributes influence customer experience, relationship quality and reuse intention has been largely eluding research attention. Therefore, this article investigates influence of self-service technology applications’ attributes on customer experience, relationship quality and reuse intention among customers in deposit money banks. Data was collected from 310 respondents using online-based questionnaire. Structural Equation Modelling approach with the aid of SmartPLS serve as the analytical tool in the examination of hypothesized paths in the research schema. Findings reveal that perceived ease of use and perceived usefulness were positively related with cognitive and affective experience. Also, cognitive and affective experience had positive-significant influence on customer satisfaction; however, cognitive and affective experiences demonstrate statistically insignificant relationships with trust. Furthermore, satisfaction and trust positively and significantly correlate with reuse intention. Implication for theory and practice were put forward as well as suggestions for future research.

Smart meter technology installation as a potent means of energy management is a nascent and evolving phenomenon in most developing countries in Sub-Saharan Africa. The ascendency is exponentially provoking migration from hugely unmetered electricity consumers in favour of smart meter technology. For policymakers to formulate actionable and effective energy policies, a deeper understanding of factors that culture users’ interest in smart meter technology is necessary. Despite the imperativeness of consumers’ viewpoints in policy-design, little contemporary insights still exit regarding those antecedents that propel electricity consumers to switch to smart meter. Accordingly, this study examines determinants of smart meter and their potential influence on sustainable energy consumption behavior among residents in under-reported sub-urban areas in Nigeria. The drivers were employed to extend the Theory of Planned Behavior. One hundred and fifty copies of self-administered questionnaire serve as data collection instrument from participants. Structural equation modeling technique with the assistance of SmartPLS software was utilized in data analysis relating to the hypothesized paths in the research framework. Findings show that bill estimation anxiety and perceived behavioral control were the critical factors that determine smart meter purchase intentions and indirectly influence sustainable energy consumption behavior. Other lesser yet significant constructs were environmental concern, attitude, and subjective norm. Theoretical and potential energy policy/marketing implications of the findings were highlighted.