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Demonetization and pandemic-related restrictions in India propelled the usage of mobile payments (M-payments). The culture of online smartphone transactions is expected to rise over the coming years, even after things return to normal. This study aims to unveil the factors that escalate the satisfaction levels of M-payment users and eventually stimulate them to continue using M-payments for their daily activities.

This study evaluated the intention to continue using M-payments for 710 users utilizing structural equation modeling and augmenting the technology acceptance model (TAM) as well as the expectation confirmation model (ECM). Mediation and moderation analysis examined the proposed model's direct and indirect relationships.

The findings unveil that perceived value co-creation participation, service quality and cognitive processing magnify user satisfaction, significantly escalating M-payment continuance usage intention. Perceived value co-creation participation and user satisfaction with M-payment partially mediate the linkage among the constructs. Furthermore, perceived usefulness strengthens the link, while perceived severity of security threats weakens the linkage between user satisfaction with M-payment and continuance usage intention.

The study's findings could benefit M-payment service providers, users, policymakers and the telecom industry to strengthen India's digital payment framework.

The perceived value co-creation participation and cognitive processing domain have not garnered much attention in the M-payment literature. The study strives to comprehend these constructs by widening the purview of TAM and ECM models. It also measures the moderating role of perceived severity of security threats and perceived usefulness to unfurl potential linkages between the identified constructs.

Recently, the Government of India has emphasized digital financial inclusion for promoting cashless transactions with a vision to transform India from a traditional cash-based economy into a cashless economy. Technology-driven payment apps are facilitated greater access to cashless financial services and improve the speed, efficiency, accuracy and effectiveness of financial transactions. This study aims to explore the determinants of quick response (QR) code mobile payment (m-payment) adoption intention among marginalized street vendors in India.

The proposed research model was tested using 320 responses from QR code m-payment users. An interview schedule was performed using the structured questionnaire from marginalized street vendors by adopting a purposive sampling technique. The proposed research framework of this study developed on the Unified Theory of Acceptance and Use of Technology (UTAUT). In addition to the existing variables proposed in the UTAUT model, three more variables have been added, namely, digital financial literacy (DFL), personal innovativeness (PI) and perceived trust (PT). Besides, the study used confirmatory factor analysis and structural equation modeling techniques to analyze the data.

This study confirms that factors such as performance expectancy, effort expectancy, facilitating conditions, PT and customers’ DFL are significant determinants of street vendors’ intention to use QR code m-payment services. However, social influence and PI have shown an insignificant relationship with adopting a QR code m-payment system.

The results provide insights for policymakers and service providers. Specifically, government and bankers design promotional campaigns emphasizing the ease of use, perceived benefits, security and faster business transactions to accept and use the QR code m-payment system to encourage prospective users to achieve a cashless economy.

Many prior studies have widely concentrated on m-payment adoption intention in India. However, only a few studies have attempted to examine the factors influencing the adoption of QR code m-payment services among merchants from emerging economies. There is a dearth of studies on QR code adoption from an unorganized sector perspective, specifically marginalized street vendors. Therefore, this study explicitly examines the extent to which the determinants of adoption intention toward QR code-based m-payment services among marginalized street vendors within the framework of the extended UTAUT model by incorporating DFL, PI and PT. The findings of this study contribute, theoretically and practically, to the existing literature.

Reducing inequity in health between the poor and the rich is one of the challenges of the Iranian health sector. Access to health services in Iran is lower in the lowest-income quarter, and the rich use health services more. The purpose of this study is to provide a comprehensive framework for enabling financial access by the poor to health services in Iran.

Policy options were validated and approved by experts and specialists in two stages using the Delphi technique. The sample was consisted of 22 well-known experts on the subject who were selected based on purposive sampling. To evaluate the reliability of the questionnaire, a pilot study was conducted with five participants. Dimensional validity of the policy model, which was agreed upon by more than 75% of the participants was acceptable.

The main aspects of the model were divided into five categories: identifying the poor, policymaking to prevent the aggravation of health poverty, providing targeted funding, highlighting the importance of coherent regulation and ensuring financial accessibility to health services for the poor. This model could align the activities of all stakeholders in the form of a network and considers its prerequisites.

Prevention of dire financial consequences in the case of referral to follow up the treatment alongside exemption and financial protection policies through the networking activities of organizations involved in this field is a crucial step in securing financial support for the poor. Although the researchers included a wide range of policymakers in the Delphi study to gather all perspectives about options for financially support the poor, there may be some potential neglected policy advices.

This study aims to investigate the antecedents of behavioral intention and actual usage of mobile payment (m-payment) services during the COVID-19 pandemic among Indian consumers.

The proposed research model of this study is based on the extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT2) by using two additional variables, namely, perceived security (PS) and perceived trust (PT). In total, 436 sample respondents are chosen from Indian consumers with experience using m-payment services through the online survey method. The data analysis and proposed hypothetical relationships were tested using confirmatory factor analysis and structural equation modeling techniques.

The results confirm that performance expectancy, effort expectancy, facilitating conditions, PS, PT, habit and price value are antecedents of consumer intention toward adopting m-payment services. Furthermore, behavioral intention significantly influences the actual usage of m-payment services during the COVID-19 pandemic.

Though the impact of COVID-19 has been observed during the research period in getting responses from m-payment service users, the constructs used in the study are confined to the UTAUT2 model, and dimensions related to COVID-19 are not directly included in the measurement scale. The study’s findings propose valuable insights for service providers and policymakers.

This study’s results offer valuable insights to the service providers and policymakers to achieve the Government of India digital India objective of “Faceless, Paperless and Cashless” transactions.

This study’s results contribute to extending the empirical research literature on m-payment as antecedents of behavioral intention toward the adoption of m-payment services during the COVID-19 pandemic. Furthermore, this study assumes important interrelationships among UTAUT2 constructs with the additional incorporation of PS and PT.

This study aims to provide a systematic review and meta-analysis to explore the strength of the path relationship in the proposed model for online travel booking service adoption. It also explores the moderating effect of national or regional economic development levels and cultural differences.

A meta-analysis was conducted on the factors correlated with users' intention to adopt online travel booking services (OTBS) and the moderating effects of economic development levels and culture based on 42 empirical studies.

Perceived usefulness, perceived ease of use, attitude and perceived behavioral control have a significant positive impact on adoption intention. By contrast, subjective norms have a significantly negative impact on adoption intention. Furthermore, the economic development level of a country or region significantly moderates the relationships between perceived usefulness and perceived behavior control, attitude and perceived behavior control, and subjective norms and adoption intention. At the same time, national or regional cultural differences significantly moderate the relationships between attitudes and adoption intention, perceived usefulness and perceived behavior control, and subjective norms and adoption intention.

This study was conducted to obtain a unified conclusion regarding the research field of online travel booking service adoption. Its content was original. The conclusion provides theoretical references for follow-up research and the development of targeted marketing programs for online travel-booking service providers.

Grounded in dynamic capability view, this research develops a decision support model, which enables determining consistent and sufficient configurations of resilience strategies to mitigate vaccine operations and distributions (O&D) challenges and thus improve O&D performance (i.e. O&DP).

Through qualitative in-depth interviews, the authors first identified challenges and resilience strategies related to vaccine O&D. Next, using the quality function deployment technique, three quantitative case studies were performed to determine the most important challenges and resilience strategies. Finally, utilising fuzzy set qualitative comparative analysis, the authors determine sufficient conditions of challenges and strategies leading to improve vaccine O&DP.

The findings reveal that strategies alone are not effective instead a combination of strategies and nullification of challenges is needed to enhance vaccine O&DP. Further, the findings revealed that not only the presence of challenges, but also the lack of strategies reduces the vaccine O&DP.

The authors' findings will assist the health service decision-makers for strategizing an effective and efficient vaccination program by selecting the right combination of challenges and resilience strategies.

The authors' study develops a novel decision support model and offers significant learning for the future vaccine O&DP.

The COVID-19 pandemic has dramatically transformed higher education policy and practices across the globe, including Bangladesh. Higher education institutions (HEIs) were forced to deliver teaching and learning online. This chapter discusses the impact of the COVID-19 pandemic on teaching and learning practice in higher education in Bangladesh and highlights the cultural transformation of policy and practice. In addition, it proposes future directions on how to be prepared and addresses the challenges of emergencies and draws implications of the findings beyond the national context. In the beginning of the pandemic, most universities in Bangladesh had to initially shut down their operations without offering any alternatives. However, a number of universities gradually rolled out some online teaching and learning activities as the lockdowns kept extending. A large portion of the HEIs struggled to continue their online teaching and learning due to the lack of resources, i.e., devices, technological skills and training, lack of policy, negative mindset, poor network infrastructure, and high cost of internet. This unprecedented situation ushered in by the pandemic showed the lack of preparedness and below-par capacity to respond to emergencies for the continuation of higher education in Bangladesh. Furthermore, it highlighted that improving the higher education sector requires tremendous effort from the government, researchers, policymakers, practitioners, the universities, and other industries directly or indirectly related to the sector.

End-of-life electronic products exchange (EEPE) program could be an effective approach to e-waste recycling that requires consumers' participation. Thus, it is highly recommended to study factors stirring consumer behavior with regard to EEPE programs, which is largely under-explored in the existing literature. Hence, grounding on the Theory of Planned Behavior (TPB) and Attitude-Behavior-Context (A-B-C) model, this study attempts to understand the determinants of consumers' EEPE intention by adding contextual and non-cognitive factors to the proposed research model.

Employing a purposive sampling technique, respondents were drawn from university students and general consumers of electronic products in a developing country. Factor analysis, structural equation modeling (SEM) and SPSS PROCESS were used to analyze the collected data.

Empirical results confirm that subjective norm has the strongest positive impact on EEPE intention. Following this, attitude toward EEPE and perceived behavioral control play positive mediating roles in determining EEPE intention. Moreover, government initiatives moderate the unsolicited “attitude–intention gap”.

Drawing on this study's outcomes, the study urges to form comprehensive awareness-building campaigns, rules and regulations regarding proper e-waste management, promote “exchange offer” programs and educational programs to encourage EEPE.

This study makes two fresh contributions to the extant literature. First, by coupling the TPB and A-B-C theory, this study showed that both attitude (i.e. attitude toward EEPE) and context (i.e. government initiatives) are essential in eliciting individual-level post-consumption pro-environmental behavior (PEB) (i.e. EEPE). Second, government initiatives elucidate the attitude–intention gap in the reverse logistics context, especially in developing countries.

Drawing on the dynamic capability view (DCV), this research determines the suitable configurations of resilience strategies for sustainable tourism supply chain performance amidst “extreme” disruptive events affecting the entire supply chain.

This research applies a multi-study and multi-method approach. Study 1 utilizes in-depth interviews to identify a list of tourism supply chain sustainability risks and resilience strategies. Study 2, using quality function deployment (QFD) technique, determines the most important resilience strategies corresponding to highly significant risks. Study 3, on the other hand, adopts a fuzzy set qualitative comparative analysis (fsQCA) to determine the best recipe of resilience strategies and risks to make the tourism supply chain performance sustainable.

The findings reveal that sustainable tourism performance during an extreme disruptive event (e.g. COVID-19 health crisis) depends on the combined effect of tourism resilience strategies and risks instead of their individual effect.

The research findings offer significant managerial implications. Managers may experiment with multiple causal conditions of risks and resilience strategies to engender the expected outcome.

This research extends current knowledge on tourism supply chain and offers insights for managers to mitigate the risks and ensures sustainable performance in the context of extreme disruptive events.

Circularity has acted as an essential phenomenon for small and medium enterprises (SMEs) in emerging economies, pressuring entrepreneurs to its adoption in their businesses. During the adoption and implementation of circularity, entrepreneurs or circular entrepreneurs (to be precise) are facing various challenges to its effective functioning. However, the scholarly literature has offered limited research into this phenomenon. Thus, the purpose of this research is to identify the various barriers and sub-barriers for circular entrepreneurs to adopt circularity in SMEs of emerging economies.

A combined qualitative and quantitative approach was employed to achieve the objectives of the study. In the first stage, through an extensive literature review, a list of barriers was identified and in the second stage, a deductive approach was employed to finalize the barriers. Finally, Best-Worst Method (BWM), a multi-criteria decision-making (MCDM) method, was used to analyse the significant importance of the barriers.

The findings of the study suggested the “financial barrier” as the first-ranked barrier in the adoption of Circular Business Models (CBMs), followed by the “regulatory and operational barrier” as the top second and third barriers. In terms of sub-barriers, “lack of access to funding and capital” has been identified as the top sub-barrier in the adoption of CBM, followed by “excessive regulations and red tape” and “challenges due to ambiguity of the concept”.

To transition from a circular to a linear business approach considerably quicker and smoother, entrepreneurs may utilize the findings of this study as a blueprint for the steps to overcome the barriers in a linear to a circular transition.

This research differentiates from other studies due to solicited input directly from the people who are most familiar with the challenges of making the transition from linear to CBM, i.e. the entrepreneurs themselves.