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This paper aims to compare the relative importance of tangible compensation across the offline and online service mediums, and assess tangible compensation as a trust recovery tactic.

This study is based on a 3 (compensation level: 20%, 50%, 100%) × 2 (compensation type: refund, coupon) × 2 (service medium: offline, online) scenario-based experimental design.

The offline and online customers exhibit different satisfaction for the respective values of both the immediate and delayed compensation types. Moreover, offline customers exhibit more trust in the firm when they receive a refund, whereas their online counterparts demonstrate a higher trust when provided with a coupon.

For a service failure such as the one presented in the experimental study’s scenario, a lower (higher) value coupon will generate more (less) satisfaction compared to providing the same value as a refund. Firms will be better off by providing partial compensation in the form of a coupon, rather than a refund.

Unlike most studies of service recovery, this research takes into account the perceived differences of various tangible compensations to provide a comparison of offline and online customers’ recovery preferences. Furthermore, the previous studies have not focused on trust restoration and assessed causes and effects of trust based on trust at one point in time i.e. trust after recovery. While this study has included restored trust as a variable in the conceptual model.

Esta investigación tiene como objetivo comparar la importancia relativa de la compensación tangible en los medios de servicio offline y online, y evaluar la compensación tangible como táctica de recuperación de la confianza.

Este estudio se basa en un diseño experimental basado en 3 (nivel de compensación: 20%, 50%, 100%) x 2 (tipo de compensación: reembolso, cupón) x 2 (medio de servicio: offline, online).

Los clientes offline y online muestran una satisfacción diferente para los valores respectivos de los tipos de compensación inmediata y diferida. Además, los clientes offline muestran más confianza en la empresa cuando reciben un reembolso, mientras que sus homólogos online demuestran una mayor confianza cuando se les proporciona un cupón.

Para un fallo del servicio como el presentado en el escenario del estudio experimental, un cupón de menor (mayor) valor generará más (menos) satisfacción en comparación con proporcionar el mismo valor como reembolso. Las empresas saldrán ganando si ofrecen una compensación parcial en forma de cupón, en lugar de un reembolso.

A diferencia de la mayoría de los estudios sobre la recuperación de servicios, esta investigación tiene en cuenta las diferencias percibidas de varias compensaciones tangibles para ofrecer una comparación de las preferencias de recuperación de los clientes offline y online. Además, los estudios anteriores no se han centrado en el restablecimiento de la confianza y han evaluado las causas y los efectos de la confianza basándose en la confianza en un momento determinado, es decir, la confianza después de la recuperación. En cambio, este estudio ha incluido la confianza restaurada como una variable en el modelo conceptual.

本研究旨在比较有形补偿在离线和在线服务媒介中的相对重要性, 并评估有形补偿作为一种信任恢复策略。

本研究基于3（补偿水平：20%, 50%, 100%）×2（补偿类型：退款, 优惠券）×2（服务媒介：线下, 线上）的情景实验设计。

线下和线上的顾客对即时和延迟补偿类型的各自数值表现出不同的满意度。此外, 离线顾客在收到退款时表现出对公司的更多信任, 而他们的在线顾客在得到优惠券时表现出更多的信任。

对于像实验研究中提出的那种服务失败, 与提供相同价值的退款相比, 价值较低（较高）的优惠券会产生更多（更少）的满意度。企业通过以优惠券的形式提供部分补偿, 而不是退款, 会有更好的效果。

与大多数关于服务恢复的研究不同, 这项研究考虑到了各种有形补偿的感知差异, 以提供离线和在线顾客恢复偏好的比较。此外, 以前的研究没有关注信任的恢复, 而是基于一个时间点的信任, 即恢复后的信任来评估信任的原因和影响。而本研究将恢复的信任作为概念模型中的一个变 量。

The study aims to analyze the influence of hedonic, utilitarian, and self-esteem motivations on online shopping behavior. Likewise, the mediating role of impulsive shopping and shopping intentions is also analyzed.

The study was carried out with the results of a survey in which 450 respondents participated, and the data was analyzed by using structural equation modeling (SmartPLS 3.0 software).

All the hypothesized links were significant and positive except for the relationship of self-esteem motive with impulsive shopping tendency, which was negative as hypothesized. Moreover, hedonic motive had a strong positive impact on impulsive shopping tendency, whereas, in contrast, utilitarian motive had a strong positive impact on shopping intentions.

Managers should focus on functional value rather than emotional value to attract customers who tend to be utilitarian. In contrast, for customers who tend to be hedonic, the product offerings should be visually appealing, stimulating and inspiring, as well as have emotional value.

This study investigates the roles of self-esteem and hedonic motives in impulsive shopping behavior. Moreover, by using the theory of planned behavior, this study highlights the roles of hedonic and utilitarian motives in attitude toward engaging in online shopping.

El estudio pretende analizar la influencia de las motivaciones hedónicas y utilitarias y la autoestima en el comportamiento de compra online. Asimismo, se analiza el papel mediador de la compra impulsiva y la intención de compra.

El estudio se realizó con los resultados de una encuesta en la que participaron 450 encuestados y los datos se analizaron mediante el modelo de ecuaciones estructurales (software Smart PLS 3.0).

Todos los vínculos planteados como hipótesis fueron significativos y positivos, excepto la relación del motivo autoestima con la tendencia a la compra impulsiva, que fue negativa según la hipótesis. Además, el motivo hedónico tuvo un fuerte impacto positivo en la tendencia de compra impulsiva, mientras que, por el contrario, el motivo utilitario tuvo un fuerte impacto positivo en las intenciones de compra.

Este estudio investiga el papel de la autoestima y los motivos hedónicos en la conducta de compra impulsiva. Además, al emplear la teoría del comportamiento planificado, este estudio pone de relieve el papel de los motivos hedónicos y utilitarios en la actitud hacia la realización de compras en línea.

Los directivos deberían centrarse en el valor funcional más que en el valor emocional para atraer a los clientes que tienden a ser utilitarios. En cambio, para los clientes que tienden a ser hedónicos, las ofertas de productos deben ser visualmente atractivas, estimulantes e inspiradoras, además de tener valor emocional.

本研究旨在分析享乐动机和功利动机以及自尊心对网上购物行为的影响。 而且, 本文也分析了冲动性购物和购物意向在其中的中介作用。

本研究采用了由450名受访者参与的调查结果, 并使用结构方程模型（Smart PLS 3.0软件）对数据进行了分析。

除自尊动机与冲动性购物符合假设所提议的负相关倾向外, 其他所有关系均为显著正相关。此外, 享乐动机对冲动性购物倾向有较强的正向影响, 而功利动机则对购物意向有较强的正向影响。

本研究调查了自尊和享乐动机在冲动性购物行为中的作用。此外, 通过采用计划行为理论, 本研究强调了享乐和功利动机在对参与网上购物态度中的作用。

管理者应该关注功能价值而不是情感价值, 以吸引那些倾向于功利主义的顾客。相反, 对于倾向于享乐主义的顾客, 产品应该具有视觉吸引力、刺激性和启发性, 并具有情感价值。

Due to product diversity, traditional quality signals in the hotel industry such as star ratings and brand affiliation do not work well in the accommodation booking process on the sharing economy platform. From a suppliers’ perspective, this study aims to apply the signaling theory to the booking of Airbnb listings and explore the influence of quality signals on the odds of an Airbnb listing being booked.

A binomial logistic model is used to describe the influences of different attributes on the market demand. Because of the large sample size, sequential Bayesian updating method is utilized in hospitality and tourism field for the first attempt.

Results show that, in addition to host-specific information such as “Superhost” and identity verification, attributes including price, extra charges, region competitiveness and house rules are all effective signals in Airbnb. The signaling impact is more effective for the listings without any review comments.

This study contributes to the literature by incorporating the signaling theory in the analysis of booking probability of Airbnb accommodation. The research findings are valuable to hosts in improving their booking rates and revenue. In addition, government and industrial management organizations can have more efficient strategy and policy planning.

This study aims to investigate the different attributes of electronic commerce (e-commerce) that determine perceived value and electronic loyalty (e-loyalty) among consumers of online food delivery applications (OFDAs). In this globalized world and competitive environment, e-commerce demands have increased and organizations are giving special attention to web development, website design and functions to hold the current consumers with sustainable performance in the globalized and competitive environment. Almost every industry has been affected by the coronavirus disease 2019 (COVID-19) and changed the way of operational work in many industries. Similarly, the food industry is facing serious challenges and now restaurants started heavily depending on OFDAs.

The study was quantitative and data were collected from 509 consumers of the district of Rawalpindi, Punjab Pakistan by using a convenience sampling technique who was the users of OFDAs to evaluate the proposed research model. Confirmatory factor analysis was applied to evaluate the validity of the constructs, and structural equation modeling was employed to test the model through Smart-PLS.

Our findings revealed that perceived value has a substantial positive impact on electronic loyalty (e-loyalty). Moreover, results confirmed that perceived value mediates the relationship of electronic privacy (e-privacy), electronic security (e-security), electronic payment (e-payment), usability and electronic innovativeness (e-innovativeness) with e-loyalty.

This study added to the unified theory of acceptance and use of technology (UTAUT) and technology acceptance model (TAM) by exploring consumers’ intentions for using OFDAs in the framework of e-commerce attributes, perceived value and e-loyalty. Similarly, the study enabled the author to learn more about how people would use the information system after successfully applying the UTAUT.

This study has significant implications for web developers, application designers, food delivery companies, restaurants and other businesses. Subsequently, it indicates the importance of the incredible attractiveness of OFDAs in boosting users’ intentions to keep using the application.

This research contributes substantially to OFDAs efforts to continuously increase its meal service platform and improve client satisfaction which resulted in repurchase intent. In addition, the research facilitates OFDA firms to enhance the features of their applications according to clients.

This paper aims to demonstrate that online complainants’ reactions to a company’s service recovery attempts (webcare) can significantly vary across two different types of dissatisfied customers (“vindictives” vs “constructives”), who have dramatically diverging complaint goal orientations.

Online multi-country survey among 812 adult consumers who recently had a dissatisfying brand experience and turned to a marketer-generated social media site to voice an online complaint for achieving their ultimate complaining goals. Scenario-based online experiment for cross-validating the survey findings.

Results suggest that “vindictive complainants” – driven dominantly by brand-adverse motives – are immune to any form of webcare, while “constructive complainants” – interested in restoring the customer-brand relationship – react more sensitively. For the latter, “no-responses” often trigger detrimental brand-related reactions (e.g. unfavorable brand image), whereas “defensive responses” are likely to stimulate post-webcare negative word-of-mouth.

This research identifies the gains and harms of (un-)desired webcare. By doing so, it not only sheds light on the circumstances when marketers have to fear negative effects (e.g. negative word-of-mouth) but also provides insights into the conditions when such effects are unlikely. While the findings of the cross-sectional survey are validated with an online experiment, findings should be interpreted with care as other complaining contexts should be further investigated.

Marketers have to expect a serious “backfiring effect” from an unexpected source, namely, consumers who were initially benevolent toward the involved brand but who received an inappropriate response.

This research is one of the first research studies that enables marketers to identify situations when webcare is likely to backfire on the brand after a service failure.

The purpose of this paper is to describe a proposal for a data-driven investigation aimed at determining whether students’ learning behavior can be extracted and visualized from action logs recorded by Moodle. The paper also tried to show whether there is a correlation between the activity level of students in online environments and their academic performance with respect to final grade.

The analysis was carried out using log data obtained from various courses dispensed in a university using a Moodle platform. The study also collected demographic profiles of students and compared them with their activity level in order to analyze how these attributes affect students’ level of activity in the online environment.

This work has shown that data mining algorithm like vector space model can be used to aggregate the action logs of students and quantify it into a single numeric value that can be used to generate visualizations of students’ level of activity. The current investigation indicates that there is a lot of variability in terms of the correlation between these two variables.

The value presented in the study can help instructors monitor course progression and enable them to rapidly identify which students are not performing well and adjust their pedagogical strategies accordingly.

A plan to continue the work by developing a complete dashboard style interface that instructors can use is already underway. More data need to be collected and more advanced processing tools are necessary in order to obtain a better perspective on this issue.

The purpose of this study was to review the role of self-efficacy in online education with an objective to propose a holistic framework for strengthening participants' self-efficacy, especially in the Asian context.

To investigate the potential role of self-efficacy of the participants of online academic activities, this study followed the conceptual analysis method, which is breaking down concepts into constituent elements to get a superior understanding of a particular philosophy.

The findings revealed that self-efficacy, the level of confidence someone has to perform a particular task, is an important factor among teachers and students operating online platforms, and enhanced efficacy is capable of encouraging online practices. Finally, the study proposed a framework to strengthen self-efficacy among participants with intervention measures to make online education effective and impressive.

The proposed framework will help stakeholders of online education to improve their efficacy and leverage the potential of online education to the fullest. Millions of first-generation online users in many Asian countries who possess low self-confidence in their ability might find the framework easier for better integration, interaction and collaboration in the online learning environment.

A vast literature survey was made before proposing this framework that could open up a new dimension in online education by scaffolding participants' inner thrust.

This study aims to examine the impact of website design, reliability and perceived ease of use as an engagement motivational factors on customer e-trust and e-retention in online shopping.

By using deductive approach, quantitative methods and purposive sampling technique, this study has collected the data from 295 young online customers to enhance an understanding of website design, reliability and perceived ease of use in an online shopping context.

The findings revealed interesting insights where reliability is the most significant predictor of customer e-trust in online shopping, followed by perceived ease of use and website design. In addition, a significant mediating effect of e-trust is found between customer e-retention, website design, reliability and perceived ease of use.

Future research is recommended to predict the antecedents of online engagement motivational factors with value co-creation and co-creation experience in online shopping context.

This study offers fresh insights about driving elements and impediments of online customer retention. Customer engagement comprising of website design, reliability and perceived ease of use appear to influence the online customer retention through direct and indirect effect.

In this study, the authors seek to understand factors that naturally influence users to adopt two-factor authentication (2FA) without even trying to intervene by investigating factors within individuals that may influence their decision to adopt 2FA by themselves.

A total of 1,852 individuals from all 34 provinces in Indonesia participated in this study by filling out online questionnaires. The authors discussed the results from statistical analysis further through the lens of the loss aversion theory.

The authors found that loss aversion, represented by higher income that translates to greater potential pain caused by losing things to be the most significant demographic factor behind 2FA adoption. On the contrary, those with a low-income background, even if they have some college degree, are more likely to skip 2FA despite their awareness of this technology. The authors also found that the older generation, particularly females, to be among the most vulnerable groups when it comes to authentication-based cyber threats as they are much less likely to adopt 2FA, or even to be aware of its existence in the first place.

Authentication is one of the most important topics in cybersecurity that is related to human-computer interaction. While 2FA increases the security level of authentication methods, it also requires extra efforts that can translate to some level of inconvenience on the user's end. By identifying the associated factors from the user's ends, a necessary intervention can be made so that more users are willing to jump on the 2FA adopters' train.

With the popularity of the internet and the increasing numbers of netizens, tremendous information flows are generated daily by the intelligently interconnected individuals. The diffusion processes of different information are not independent, and they interact with and influence each other. Modeling and analyzing the interaction between correlated information play an important role in the understanding of the characteristics of information dissemination and better control of the information flows. This paper aims to model the correlated information diffusion process over the crowd intelligence networks.

This study extends the classic epidemic susceptible–infectious–recovered (SIR) model and proposes the SIR mixture model to describe the diffusion process of two correlated pieces of information. The whole crowd is divided into different groups with respect to their forwarding state of the correlated information, and the transition rate between different groups shows the property of each piece of information and the influences between them.

The stable state of the SIR mixture model is analyzed through the linearization of the model, and the stable condition can be obtained. Real data are used to validate the SIR mixture model, and the detailed diffusion process of correlated information can be inferred by the analysis of the parameters learned through fitting the real data into the SIR mixture model.

The proposed SIR mixture model can be used to model the diffusion of correlated information and analyze the propagation process.