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This study aims to analyze the effect of service quality on trust, satisfaction and loyalty by adopting two models, namely, conventional service quality model from Parasuraman and information systems (IS) success model from Delone and McLean.

Respondents of this study were users of shared-motorcycle services who filled out a complete questionnaire totaling 507. This research used a second-order structural equation model. All question items had quite high reliability and validity based on the result of confirmatory factor analysis with a value of average variance extracted and composite reliability which was higher than 0.70. The goodness of fit was quite good with the values x²/df = 2.493, incremental fit index = 0.921, Tucker-Lewis index = 0.917, comparative fit index = 0.921 and root-mean-square error of approximation = 0.054.

Online and offline ride-sharing services reveal a strong and positive influence on trust and satisfaction. Trust reveals a strong and positive influence on satisfaction and loyalty. Finally, satisfaction reveals a strong and positive influence on loyalty. The research in general shows that the quality of offline service is more influential than the quality of online service in the case of ride-sharing service provided by two companies in Indonesia.

The sampling frame of the research was diverse, including students of various collages and junior high schools, various private company workers and government employees. So, the results cannot be generalized to all populations especially to all Indonesian customers. It is recommended to increase the number of samples by focusing on the community groups of customers of public motorbikes, so that these groups can be compared. Next, the research finds that both service quality based on IS and service quality models reveal a strong and positive influence on loyalty both directly and indirectly.

The research uses respondents who use motorcycle services both online and offline. The findings of the research are important for online and offline ride-sharing motorbike service providers. They have to maintain their excellent services to the customers.

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 purpose of this paper is to address the following question: Can a bank capitalize on its well-established self-service technologies (SSTs) in order to entice customers to adopt a newly introduced SST, namely, mobile banking? More specifically, it proposes an integrative model that simultaneously investigates the transference effects of attitudes, trust and the contagious influences of social pressures on mobile banking adoption intentions.

Structural equation modeling is applied to data collected from banks’ clients who are actually non-users of mobile banking.

The results indicate that attitude toward and trust in mobile banking along with coercive, normative and mimetic pressures are key antecedents to mobile banking adoption intentions. In addition, attitudes toward automated teller machines (ATMs) and online banking significantly predict attitude toward mobile banking. The results also support the effects of trust in ATMs as well as trust in online banking on trust in mobile banking. Moreover, predicted differences in the relative effects of attitude and trust are supported. Particularly, attitude toward online banking has a stronger impact on attitude toward mobile banking compared to the impact of attitude toward ATMs. In the same vein, the effect of trust in online banking on mobile banking is significantly stronger than the effect of trust in ATMs.

The study’s results hint at some practical and worthwhile guidelines for banks that can be leveraged in communication campaigns aiming at boosting the adoption rates of mobile banking. Banks can take advantage of the transference effects of the established attitudes toward and trusting beliefs in their mature SSTs as well as the contagious social influences in inducing the adoption of a newly introduced SST.

The present study represents a first step toward generating new insights into the role of the joint effects of attitudes, trust and social influences in the adoption of a new SST.

The purpose of this paper is to compare two brand posts with the different content created by a celebrity (emotional content vs rational content) on Instagram and their effects on users’ willingness to use offline word of mouth (WOM) and electronic WOM (eWOM). The research model also consists of product involvement as the moderator.

Based on the results of the pretest stages, the study included two stimuli, and respondents were presented with two different brand posts (i.e. two manipulated pictures and texts on the Instagram frame). A two-group comparison (positive emotional brand post vs negative rational brand post) between-subjects experiment (n = 214) was conducted.

The results indicate that WOM and eWOM are more affected by a celebrity’s emotional brand post than a celebrity’s rational brand post. Furthermore, both types of WOM are more affected through high product involvement enhanced by a celebrity’s rational brand post than through high product involvement boosted by a celebrity’s emotional brand post.

Managerial implications for social media marketing and Instagram celebrity-based branding are provided. Practical implications are also provided in the form of evidence of how the impacts of two different brand posts on positive offline WOM and eWOM are affected differently through the moderation of product involvement.

The research argues for theoretical implications for the marketing literature on celebrity endorsements. The study also tests one moderating effect on the relationship between brand post content and WOM and eWOM.

El propósito de este trabajo es comparar dos posts de marcas con diferente contenido creado por una celebridad (contenido emocional vs. contenido racional) en Instagram y sus efectos en la disposición de los usuarios a utilizar WOM y eWOM. El modelo de investigación también incluye la implicación del producto como moderador.

Sobre la base de los resultados de las etapas de prueba previa, el estudio incluyó dos estímulos, y a los encuestados se les presentaron dos publicaciones de marca diferentes (es decir, dos imágenes y textos manipulados en el marco de Instagram). Se realizó un experimento entre sujetos (n = 214) de comparación de dos grupos (post de marca emocional positivo frente a post de marca racional negativo).

Los resultados indican que el WOM y el eWOM se ven más afectados por el post emocional de la marca de un famoso que por el post racional de la marca de un famoso. Además, ambos tipos de boca a boca se ven más afectados por la alta implicación del producto potenciada por el post racional de la marca de un famoso que por la alta implicación del producto potenciada por el post emocional de la marca de un famoso.

se ofrecen implicaciones de gestión para el marketing en las redes sociales y el branding basado en los famosos de Instagram. Las implicaciones prácticas también se proporcionan en forma de evidencia de cómo los impactos de dos publicaciones de marca diferentes en el WOM positivo y el eWOM se ven afectados de manera diferente a través de la moderación de la implicación con el producto.

La investigación aporta implicaciones teóricas para la literatura de marketing sobre el patrocinio de los famosos. El estudio también prueba un efecto moderador en la relación entre el contenido de los posts de marca y el WOM y el eWOM.

本文旨在比较Instagram上两个由名人创作的不同内容的品牌帖子（感性内容Vs.理性内容）, 以及其对用户使用线下口碑（WOM）和电子口碑（eWOM）意愿的影响。该研究模型还包括产品涉入作为调节变量。

研究包括两个刺激物, 受访者被呈现两个不同的品牌帖子(即Instagram框架上的两个被操纵的图片和文字)。进行了两组比较(积极感性品牌帖子vs. 消极理性品牌帖子) 的主体间实验 (n = 214) 。

结果表明, 与名人的理性品牌帖子相比, WOM和eWOM受名人感性品牌帖子的影响更大。此外, 这两种类型的口碑通过名人的理性品牌帖子所增强的高产品涉入度比通过名人的感性品牌帖子所增强的高产品涉入度受到的影响更大。

提供了对社交媒体营销和Instagram名人品牌的管理意义。研究还提供了实际意义, 证明了两种不同的品牌帖子对积极的WOM和eWOM的影响是如何通过产品涉入度的调节而不同的。

该研究论证了名人代言的营销文献的理论意义。该研究还检验了品牌帖子内容与WOM和eWOM之间关系的调节效应。

Chatbots represent an innovative channel for retailers to meet young customers' needs anywhere and at any time. Being an emergent technology, however, it is important to investigate more thoroughly how users perceive it, and which are the variables that enhance a positive attitude towards this technology. On this premise, this study applies a social relationship perspective to the design of chatbots addressed to younger consumers.

The study adopts a between-participants factorial design to investigate the effects of visual cues (avatar presence vs avatar absence) and interaction styles (social-oriented vs task-oriented) on social presence and how this, in turn, enhances millennials' perceived enjoyment, trust and, ultimately, attitude towards the chatbot. A survey experiment was employed to conduct the study on data collected from 193 Italian millennials.

The results show that applying a social-oriented interaction style increases users' perception of social presence, while an insignificant effect was found for avatar presence. The partial least square structural equation modeling (PLS-SEM) analysis further confirms the hypothesised model.

The adoption of new digital technologies such as chatbots is likely to have a far reaching effect on retailers, consumers, employees and society. For this reason, a broad understanding of the phenomenon is needed. To the best of our knowledge, this is the first study to provide results from an experimental design in which both interaction style (social- vs task-oriented) and avatar (presence vs absence) of a chatbot are manipulated to directly explore social presence and its effect on trust, perceived enjoyment and millennials' attitude towards a chatbot applied for retailing purposes.

Social relationships play an important role in organizational entrepreneurship. They are crucial to entrepreneurs’ decisions because, despite the bleeding-edge technological advancements observed nowadays, entrepreneurs as human beings will always strive to be social. During the COVID-19 pandemic many companies moved activities into the virtual world and as a result offline Social relationships became rarer, but as it turns out, even more valuable, likewise, the inter-organizational cooperation enabling many companies to survive.

This chapter aims to develop knowledge about entrepreneurs’ SR and their links with inter-organizational cooperation. The results of an integrative systematic literature review show that the concept of Social relationships, although often investigated, lacks a clear definition, conceptualization, and operationalization. This chapter revealed a great diversity of definitions for Social relationships, including different scopes of meaning and levels of analysis. The authors identify 10 building blocks and nine sources of entrepreneurs’ Social relationships. The authors offer an original typology of Social relationships using 12 criteria. Interestingly, with regard to building blocks, besides those frequently considered such as trust, reciprocity and commitment, the authors also point to others more rarely and narrowly discussed, such as gratitude, satisfaction and affection. Similarly, the authors discuss the varied scope of sources, including workplace, family/friendship, past relationships, and ethnic or religious bonds. The findings of this study point to a variety of links between Social relationships and inter-organizational cooperation, including their positive and negative influences on one another. These links appear to be extremely dynamic, bi-directional and highly complex.

Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services.

Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries.

The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables.

The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.

The purpose of this article is to investigate if and how social capital offline – stemming from face-to-face interactions – and social capital online – stemming from social digital media – can influence early-stage entrepreneurs, i.e. ventures with up to 42 months of existence.

The authors used herein a qualitative research approach. The method used was the case study. The authors investigated three early-stage entrepreneurs in order to achieve the objective of the paper. These entrepreneurs are both the unit of analysis and the unit of observation.

The outcomes of this research indicate (1) the combined importance of social capital offline and online; (2) the different performance of the two different types of social capital (they seem to operate in relatively distinct ways) and (3) the existence of recursiveness between resources stemming from the two social spheres (offline and online).

As research limitations, the authors point out the following: (1) the use of semistructured interviews as the only data collection instrument; (2) the limitation of the outcomes to entrepreneurs only (3) the absence of information on the performance of the business ventures; the focus of the paper was only on establishing causality between social capital offline and online and entrepreneurial performance.

This paper provides important research contributions. Initially, the paper presents a range of offline and online variables, which can be used in further research. At the same time, the paper emphasizes the combined impact of social capital offline and online, expanding the literature related to entrepreneurship. Moreover, this study proposes the creation of an integrative model. Finally, the authors point out the need for new theoretical and empirical studies on the subject, which still presents a gap in the literature.

Given the importance of the growing segmentation of ageing consumers and their increasing interaction with the Internet, digital marketing scholars are becoming more interested in this market. Prior research needs to pay more attention to this market in many contexts of digital marketing. This study aims to provide insights into ageing consumers’ content usage, content typology choices, and online brand advocacy (OBA).

Semi-structured interviews were applied, and 16 consumers from Southern Europe aged 55+ were included. The interviews were transcribed and examined following the principles of content analysis.

According to the research, older consumers display their usage and concerns regarding online content. They have different decision-making processes depending on whether they are purchasing products or services. Likewise, their choices of content typology vary based on the utilitarian or hedonic product category.

This study contributes to the literature by providing insights into this growing segmentation and proposing an OBA framework for older consumers related to content marketing. Finally, the study suggests that older consumers are passive online and active offline brand advocates.

Mobile dating apps are widely used in the queer community. Whether for sexual exploration or dating, mobile and geosocial dating apps facilitate connection. But they also bring attendant privacy risks. This chapter is based on original research about the ways gay and bisexual men navigate their privacy on geosocial dating apps geared toward the LGBTQI community. It argues that, contrary to the conventional wisdom that people who share semi-nude or nude photos do not care about their privacy, gay and bisexual users of geosocial dating apps care very much about their privacy and engage in complex, overlapping privacy navigation techniques when sharing photos. They share semi-nude and nude photos for a variety of reasons, but generally do so only after building organic trust with another person. Because trust can easily break down without supportive institutions, this chapter argues that law and design must help individuals protect their privacy on geosocial dating apps.