Purpose The purpose of this paper is to examine m-payment adoption for the bottom of pyramid (BoP) segment in a developing country context. Design/methodology/approach A questionnaire was distributed to 247 BoP customers in Bangladesh. Data were analysed by employing confirmatory factor analysis and Structural Equations Modelling. Findings The results show that performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), habit and social influence (SI) significantly influence the BoP segment’s behavioural intention (BI). It is revealed that PE, lifestyle compatibility (LC), SI and habit have relatively stronger effects being higher predictor of intentions. Again EE and FC have relatively lower effects on m-payment BI. On the other hand, hedonic motivation (HM) and price value (PV) are two non-significant predictors of m-payment adoption. Practical implications The study recommends that financial institutions, such as banks and other non-banking service firms, need to know the antecedents affecting BI suggested by the unified theory of acceptance and use of technology (UTAUT2) theory along with “LC”. This will increase m-payment adoption for the BoP segment in developing countries. Originality/value To the extent of researcher’s knowledge, none of the previous studies using the UTAUT2 theory to examine m-payment adoption for BoP segment. This study contributes empirical data to the predominantly theoretical literature by offering a deeper understanding of the inclusion of LC, which is one of the significant antecedents in explaining BoP segment’s m-payment adoption.

Country of origin has become a significant phenomenon in consumer behaviour studies. Hence, increasing the knowledge of customers about products makes research about factors that influence their decisions more worthwhile than before. The purpose of this paper is to review the country of origin literature and mention different variables that influence consumer purchase intention, and also highlight the relationship of variables and customer purchase intention based on the previous literature. This research is valuable for promoting the consumer behaviour literature and providing support for relationships between the variables and purchase intention. In addition, it also helps marketers who work on related topics according to the country of origin perspective. The existing literature shows that all of the variables mentioned in this paper have a relationship with customer purchase intention from the country of origin point of view. However, there are many factors for which it has not been determined whether they influence consumer purchase intention related to the country of origin issue and there is wide scope for future research and development.

Purpose A circular economy is a popular approach considered by many firms to address sustainable development goals strategically. Literature indicates that collaborative relationships among supply chain partners facilitate circular economy practices. However, there is a dearth of studies in lower-middle-income countries indicating the unique challenges industries face whilst practising circular economy principles and how the challenges can be overcome. To address the calls of previous researchers, this study aims to explore the following relationships: engagement and alliance capability whilst data analytics capability plays a mediating role; the relationship between alliance and data analytics capability with sustainable supply chain flexibility whilst industry dynamism is considered as a moderating variable and the relationship between sustainable supply chain flexibility and circular economy-target performance. Design/methodology/approach A cross-sectional survey was performed and data was collected from 760 employees of Indian firms. Covariance-based structural equation modelling was applied to perform the path analysis to determine a firm’s capabilities in shaping sustainable supply chain flexibility and enhancing circular economy target performance. Findings Drawing upon dynamic capability theory, it was first established that engagement capability has a positive and significant influence on alliance capability, whilst data analytics capability played a partial mediating role. Second, it was established that alliance capability and data analytics capability significantly affect sustainable supply chain flexibility, whilst industry dynamism played a moderating role. Finally, it was clear that sustainable supply chain flexibility had a significant and positive effect on circular economy target performance, ultimately enhancing sustainability. Originality/value This study advances the circular economy literature by recommending that firms must consider some critical operational level capabilities to develop their dynamic capability, i.e. sustainable supply chain flexibility, to better meet the competitive market conditions in turbulent business environments.

The purpose of this conceptual paper is to study the effect of service quality towards customer's satisfaction under the perspective of SERVQUAL and Gronroos service quality model. The proposed model focuses on the relationship between functional quality, technical quality, internal, external influences mediated by corporate image and service quality towards customer's satisfaction. The model also tries to build the relationship between perceived prices by the customers on customer's satisfaction when service quality plays a mediating role. Suggestions for managers are given on implementing the core concepts from the model.

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