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This study investigates the impacts of return channel type on the relationships between return service quality (RSQ) and customer loyalty (CL) in an omnichannel retailing environment.

Data comes from Chinese customers having a return experience in omnichannel retailing that uses the channel type of both buy-online-return-in-store (BORIS) and buy-in-store-return-to-online warehouses (BSROW). The authors use the structural equation modeling to test the hypotheses and the bootstrapping method to test the mediation and moderation effect.

For BORIS channel, satisfaction of customer returns (CRS) partially mediates the relationship between convenience and CL, and fully mediates that between CL and responsiveness, transparency and competence, respectively. For BSROW channel, CRS partially mediates the relationship between responsiveness and CL, and fully mediates that between CL and convenience, transparency and competence, respectively. The mediation effects indicate that omnichannel customers may feel more satisfied due to higher omnichannel fulfillment (responsiveness and convenience) and omnichannel trust (transparency and competence) provided by retailers. Return channel type moderates the relationship between RSQ-convenience and CL. The results show the different expectations between BORIS and BSROW customers in the return process.

This paper serves as a pioneering study to apply cognition-affect-behavior paradigm into the field of return management in omnichannel retailing.

The findings suggest retailers develop their strategies on customer returns and post-sales service quality improvement in the omnichannel. Also, retailers should develop an integrated return system across channels to provide convenient service to BORIS customers and quick response to BSROW customers.

Studying return service management in the omnichannel from customer's cognition appraisal, this study contributes to the literature of the reverse service management by bringing in the effect of omnichannel type to explore the relationship between RSQ and CL.

This paper aims to use the crankshaft-bearing system of a four-cylinder internal combustion engine as the studying object, and develop a multi-objective optimization design of the crankshaft-bearing. In the current optimization design of engine crankshaft-bearing, only the crankshaft-bearing was considered as the studying object. However, the corresponding relations of major structure dimensions exist between the crankshaft and the crankshaft-bearing in internal combustion engine, and there are the interaction effects between the crankshaft and the crankshaft-bearing during the operation of internal combustion engine.

The crankshaft mass and the total frictional power loss of crankshaft-bearing s are selected as the objective functions in the optimization design of crankshaft-bearing. The Particle Swarm Optimization algorithm based on the idea of decreasing strategy of inertia weight with the exponential type is used in the optimization calculation.

The total frictional power loss of crankshaft-bearing and the crankshaft mass are decreased, respectively, by 26.2 and 5.3 per cent by the multi-objective optimization design of crankshaft-bearing, which are more reasonable than the ones of single-objective optimization design in which only the crankshaft-bearing is considered as the studying object.

The crankshaft-bearing system of a four-cylinder internal combustion engine is taken as the studying object, and the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system is developed. The results of this paper are helpful to the design of the crankshaft-bearing for engine. There is universal significance to research the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system. The research method of the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system can be used to the optimization design of the bearing in the shaft-bearing system of ordinary machinery.

Consumers worldwide are increasingly adopting mobile payments. However, despite its global popularity, this innovation did not diffuse among American consumers extensively. As of 2019, less than 30% of smartphone users in the USA engaged in mobile payments. The purpose of this paper is to investigate drivers of mobile payment adoption in the USA and to explore the mediating factors of consumers’ attitudes toward mobile payments.

Data were collected through Amazon M-Turk in the USA with 222 final respondents. Participants received an incentive to participate in this study. The measurement and structural models were evaluated by the component-based partial least squares (PLS) approach using Smart-PLS 3 software.

The study shows several factors affecting consumers’ attitudes toward mobile payments. Specifically, relative advantage, compatibility, observability, perceived security and convenience influence attitudes toward mobile payments and, consequently, behavioral intent to use mobile payment technology. This investigation contributes to the ongoing inquiry on the adoption of mobile payment technology in the USA. It offers specific insights for managers on how to increase mobile payment adoption. The study establishes a modified diffusion of innovations (DOI) model of consumer attitudes toward the use of mobile payments.

The objective of this study is to focus mainly on consumers in the USA, and it limits the generalizability of this study.

This study contributes to the current research on mobile payment adoption. Based on theoretical considerations, the authors derived a research model specifying critical drivers of an individual’s intentions to use mobile payments. Specifically, we establish a modified DOI-based model of consumer attitudes towards mobile payments. It shows several contributing factors affecting consumers’ attitudes toward mobile payments. The paper has important managerial implications aimed at the increase of the diffusion of mobile payments in the USA.

The purpose of this paper is to examine m-payment adoption for the bottom of pyramid (BoP) segment in a developing country context.

A questionnaire was distributed to 247 BoP customers in Bangladesh. Data were analysed by employing confirmatory factor analysis and Structural Equations Modelling.

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.

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.

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.

This study aims to investigate the actual usage (AU) of digital payment systems by the consumers during the period of demonetization (from November 9, 2016 to December 30, 2016) in India.

The conceptual frame work for this study is based on the unified theory of acceptance and use of technology (UTAUT 2) and innovation resistance theory. A total of 766 sample respondents were surveyed using a pre-tested questionnaire. The empirical validation of the framework and analysis was done using partial least squares (PLS)-structural equation modeling (SEM) technique.

The results suggest that the behavioral intention (BI) to use and innovation resistance (IR) affect the usage of digital payment systems. The relation between BI to use digital payment systems and the AU of digital payment systems is moderated by the stickiness to cash payments.

This cross-sectional study is limited by geographic constraints and highlights the AU of digital payment systems by using the UTAUT 2 and IR theory only during the demonetization period.

This study offers valuable insights to the economists, policymakers and digital payment service providers regarding the usage of digital payment systems by consumers during demonetization.

This study assumes importance as it empirically examines the influence of BI and IR on the AU of digital payment systems during the demonetization period in India. This study empirically validates the moderating influence of stickiness to cash payments on the AU of digital payment systems.

Acceptance and use of mobile shopping as the preferred shopping medium is becoming the new normal today. The proliferation of mobile shopping practices follows unsteady growth patterns in different countries. Despite challenges of price, quality and privacy matters, young consumers still lead the race to engage in mobile shopping activity in developing countries. This research investigates the determinants that either support or hinder the mobile shopping intentions of aspirant young consumers in Pakistan.

The present research applies a consumer-centric approach to the technology adoption framework to unearth the behavioral patterns of these young consumers in Pakistan. Employing the structural equation modeling technique, this research examines the significant effect of structural assurance, perceived risk, trust and various unified theory of acceptance and use of technology (UTAUT) model constructs on behavioral intention to engage in mobile shopping.

This research examines the significant effect of structural assurance, perceived risk, trust and various UTAUT model constructs on behavioral intention to engage in mobile shopping. Results also demonstrate a significant moderating effect of structural assurance and prior shopping experience on the relationship between perceived risk, trust and mobile shopping intentions. Further, the mobile shopping patterns for the male and female segment indicate a significant difference for perceived risk, trust structural assurance and social influence. The research contributes to the growing body of knowledge which advocates the application of consumer-centric customized model approach to explore various factors that either facilitate or impede the adoption of mobile shopping in a developing economy.

The study validates the need to enforce structural assurance mechanism for facilitating mobile shopping in a developing country. It also offers practical implications for online businesses and marketers striving to attract and retain more mobile customers.

The study offers practical implications for online businesses and marketers striving to attract and retain more mobile customers.

This study offers fresh insights about driving elements and impediments of mobile shopping behavioral intentions. Structural assurance and prior shopping experience appear to influence the mobile shopping behavior through direct and indirect effect.

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the financial mainstream can transact as never before. But, does m-payment have veiled consequences? To seek an answer, the research was undertaken to explore the dark sides of m-payment for consumers by extending the theory of innovation resistance (IR) and by measuring non-adoption intention (NAI).

Three hundred individuals using popular online m-payment apps such as Paytm, PhonePe, Amazon Pay and Google Pay were surveyed for the primary data. IBM AMOS based structural equation modelling (SEM) was used to analyse the data.

Each m-payment transaction leaves a digital record, making some vulnerable consumers concerned about privacy threats. Lack of global standards prevents consumers from participating in the m-payment system properly until common interfaces are established based on up-to-date standards. Self-compassion (SC) characteristics such as anxiety, efficacy, fatigue, wait-and-see tendencies and the excessive choice of technology effect contribute to the non-adoption of m-payment.

This study proposes a threat model and empirically explores the dark sides of m-payment. In addition, it also unveils the moderator's role of SC in building the structural relationship between IR and NAI.

This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones.

A questionnaire was developed largely based on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis.

Significant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior.

The study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity.

This is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.

本研究旨在于鉴定游客安装旅游手机APP的影响因素。

本论文采用问卷形式进行采样。在389人的样本中，本研究共获得343有效数据以用于数据分析。

经本研究鉴定，影响游客安装手机旅游APP的因素包括：性能预期、社会影响力、节约成本、感知风险、使用习惯。其中，使用动机为影响因素（使用习惯除外）是作用于使用行为的中间变量。与原本研究预期相左，诸如享乐主义的动机、便利条件、以及努力期望等因素对使用动机和使用行为并没有显著作用。

本研究结果对于APP开发商将如何达到游客期望有着至关重要的启迪。开发商往往会专注于APP的物理性能方面的开发，忽视了其他影响APP使用的因素作用。本论文其中一个重要的实际应用价值在于，虽然旅游业是享乐主义的活动，旅游APP的使用行为却大相径庭。

本研究是少数几篇以新型经济体为背景，采用延伸整合型科技接受模式(UTAUT2)为理论框架，研究旅游APP使用情况的论文。

The purpose of this paper is to propose a model that examines the relationships among the five dimensions of the unified theory of acceptance and use of technology (UTAUT) toward the overall behavioral intentions (BIs); to use cashless payment systems in Thailand, which are practically based on the basic models and theories of consumer behavior such as the theory of reasoned action (TRA), theory of planned behavior (TPB) and technology acceptance model (TAM); and to explain the indirect effects between UTAUT and BIs to use cashless payment systems mediating by perceived risk and trust.

A total of 708 respondents, who have had an experience with a cashless payment system in Thailand, were selected using a stage sampling method. The data obtained from the participants were analyzed using a structural equation modelling approach.

The results of this paper reveal that UTAUT model, perceived risk and trust have all significant influences on BIs to use a cashless payment system. This suggests that consumers in Thailand adopt to specific financial technological innovation if they perceive that the risk is low and they can trust the system, especially if it is associated with a reliable online banking network.

The basic understanding of the UTAUT model that influences BIs to use cashless payment systems has been the focus of this current paper. This paper empirically examined the overall direct and indirect influences of UTAUT model and perceived risk, trust and BI to use. This current paper also expands the UTAUT theory by exploring several dimensions (i.e. performance expectancy, effort expectancy and social influence). Research findings reveal that effort expectancy can reduce perceived risk and increase trust in Thailand's cashless payment systems. This can generate more customer interest and engagement, as well as provide insights into customers' intentions in using a cashless payment system.