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Online dating services have been growing rapidly in recent years. However, adopting these services may involve high risk and trust issues among potential users toward both online dating services and the daters they introduce to users. The purpose of this paper is to investigate how perceived benefits vs risks, and trust vs distrust affect user adoption vs non-adoption intentions toward using this rather controversial information and communications technology in the context of online dating.

Structural equation modeling was used to evaluate the research model using data from a survey of 451 single individuals.

The results indicated that perceived benefits play more essential roles in adoption, while perceived risks affect non-adoption more. Individuals' trust in online dating service predicts a major portion of the variation in user benefit perceptions, while distrust in online dating service and in daters that users might select significantly influence perceived risks. Moreover, benefit and risk perceptions can mediate the impacts of trust and distrust on both adoption and non-adoption decisions.

This study extends theories of decision-making in the use of controversial information technologies such as in the case of online dating. It investigates the coexistence of various trust and distrust beliefs as well as benefit and risk perceptions, and their different impacts on adoption and non-adoption in online dating services.

The primary objective of this study is to explore consumers' non-adoption intentions towards meta-commerce (or metaverse retailing). Utilizing the Innovation Resistance Theory (IRT) as the theoretical foundation, this study investigates the impact of diverse barriers on non-adoption intentions within the meta-commerce context.

A total of 356 responses were gathered to test the proposed hypotheses. Structural Equation Modelling (SEM) with SmartPLS 4 software was used to examine these hypotheses.

The findings of this study show that perceived cyber risk, perceived regulatory uncertainty, perceived switching cost and perceived technical uncertainty are significantly linked to non-adoption intention towards meta-commerce. Furthermore, the study suggests that the moderating influence of technostress on these connections is more pronounced for consumers with high technostress compared to those with low technostress.

This study makes a significant contribution to the current body of literature by providing valuable insights into the fundamental barriers that consumers encounter when contemplating the adoption of meta-commerce. This contribution is particularly noteworthy as it fills a gap in the existing literature, as no prior study has comprehensively examined the primary obstacles that shape consumer intentions towards meta-commerce adoption. This novel perspective offers scholars, businesses and policymakers a foundation for developing strategies to address these barriers effectively.

This study investigates organizations' non-adoption intention towards the enterprise metaverse. The innovation resistance theory (IRT) is used as an underpinning theory to examine the impact of various risks on non-adoption intention towards the enterprise metaverse.

A total of 294 responses were collected to examine the proposed hypotheses. A structural equation modelling technique was used to investigate the hypotheses using SPSS AMOS and PROCESS MACRO.

The results of this study reveal that performance, security and psychological risks are significantly associated with non-adoption intention towards enterprise metaverse. Further, distrust significantly meditates the association between performance risk, social risk, technological dependence risk, security risk and psychological risk and non-adoption intention towards enterprise metaverse. Moreover, the results of moderated-mediation hypotheses indicate that the mediating effect of distrust on the association among performance risk, social risk, psychological risk and non-adoption intention towards enterprise metaverse is higher for individuals having high technostress compared to individuals having low technostress.

The study's findings will enrich the metaverse literature. Further, it provides a deeper understanding of enterprise metaverse adoption from a B2B perspective using the underpinnings of IRT. The study helps organizations understand the risks associated with the adoption of the enterprise metaverse.

Since its inception, mobile payment is rapidly gaining popularity over the years, and starting to replace traditional modes of payment. The usage of mobile payments has further escalated following various precautionary measures (i.e. social distancing) in curbing the transmission of the COVID-19 outbreak. However, most of the elderlies are still sceptical about the usage of mobile payment services. The current study was set to investigate the impact of functional, psychological and risk barriers that resulted in elderlies' resistance towards using such services. The impact of stickiness to cash was also examined as a moderator on the investigated relationships.

Online survey questionnaires were used to collect the responses from 400 elderly consumers at the age of 60 and above. Data analysis was then performed using the SPSS and AMOS statistical software packages.

Findings obtained acknowledged the significance of functional (i.e. perceived complexity, perceived incompatibility and perceived cost), psychological (i.e. lack of trust, inertia, and technological anxiety) and risk (i.e. privacy risk, security risk, financial risk and operational risk) barriers in influencing resistance towards mobile payment services among the elderlies. Consequently, resistance would influence their attitude and non-adoption intention; with attitude as the mediator between resistance and non-adoption intention. Finally, moderation analysis also confirmed the moderating effect of stickiness to cash towards elevating the correlation between resistance and non-adoption intention.

This study is one of the very few studies that explored the minimally investigated territory on the consequential importance of mobile payment usage among the elderlies, specifically, through extending the literature on the impact of functional, psychological and risk barriers towards the individuals' resistance. Besides, this study also successfully contributed to existing body of knowledge by highlighting the mediating role of attitude and moderating role of stickiness to cash in the interrelationships between resistance, attitude and non-adoption intention.

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.

Since its inception, virtual reality (VR) technologies have been widely applied in the tourism industry, given their competitive advantages in offering users a novel experience that makes an artificial environment or scene feel like the real world. As a result, VR has been reported as a highly sought-after technology, as it can offer a new way to engage tourists and enhance their travel experience. However, the adoption of VR by senior tourists (who are one of the potential groups of tourists) is still relatively low in the tourism context. Against this backdrop, this study aims to respond to the deficiency in the literature by examining the impact of barriers that contribute to senior tourists’ resistance and scepticism towards VR in tourism.

Using a cross-sectional approach, the data for this study was collected from 600 eligible senior tourists through survey questionnaires. To obtain valid and reliable responses, a purposive sampling technique with screening criteria was undertaken in this study. Upon data cleaning, the data analysis was performed on 546 samples using statistical software packages such as SPSS and the AMOS covariance-based structural equation modelling technique.

Grounded on the innovation resistance theory, the outcome of this study put forward the significance of technical and psychological barriers in explaining senior tourists’ resistance and scepticism towards the use of VR in tourism. In particular, perceived risk, perceived incompatibility, technology anxiety, inertia and a lack of human interaction were found to be associated with senior tourists’ scepticism and resistance towards VR usage in tourism. However, perceived complexity was not found to have a significant relationship with resistance. Moreover, both scepticism and resistance were reported to influence non-adoption intentions on VR.

This study is one of the few studies that examined the less explored territory of the tourism literature concerning the non-adoption of contemporary innovation (i.e. VR technology) for virtual tourism purposes. Moreover, this study also focuses on the perspective of senior tourists, which represents a promising market segment in the tourism sector. This study successfully contributed to the existing literature by offering empirical insights and highlighting the barriers that lead to users’ scepticism and resistance towards using VR for tourism, which could directly influence their non-adoption intention and the success of virtual tourism.

自问世以来, 虚拟现实 (VR) 技术已在旅游业中得到广泛应用因为它在为用户提供新颖体验方面具有竞争优势, 使人工环境或场景感觉像真实世界。由于VR可以提供一种新的方式来吸引游客并提升他们的旅行体验, 它被视为一项备受追捧的科技。然而, 在旅游背景下, 老年游客（潜在游客群体之一）对 VR 的采用率仍然较低。在此背景下, 本研究旨在通过探究导致老年游客对VR旅游应用产生抵制和怀疑的原因来回应文献中的不足。

基于横断面方法, 本研究通过调查问卷从600名符合条件的老年游客中收集了数据。为了获得有效和可靠的答复, 本研究采用了具有筛选标准的目的抽样技术。数据清理后, 本研究使用SPSS等统计软件包和基于AMOS协方差的结构方程建模技术对546个样本进行了数据分析。

基于创新阻力理论, 本研究结果提出了技术和心理障碍在解释老年游客对VR旅游应用抵制和怀疑的重要性。具体而言, 感知风险、感知不相容性、技术焦虑、惰性和缺乏人际互动被发现与老年游客对VR旅游应用抵制和怀疑有关。然而, 本研究并未发现感知复杂性与VR旅游应用抵制有显着关系。此外, 怀疑和抵制都会影响 VR 的不采用意图。

此研究是为数不多探索了旅游文献中关于未将当代创新（即VR技术）用于旅游目的研究。此外, 这项研究侧重于老年游客（作为旅游业中一个有前景的细分市场）的视角。本研究成功地为现有文献做出了贡献, 提供了实证见解, 并强调了导致用户怀疑和抵制将VR用于旅游的障碍。这些障碍可以直接影响用户的不采用意图和虚拟旅游的成功。

Desde sus inicios, las tecnologías de realidad virtual (RV) se han aplicado ampliamente en el sector turístico, dadas sus ventajas competitivas al ofrecer a los usuarios una experiencia novedosa que hace que un entorno o escena artificial parezca el mundo real. Como resultado, la RV se ha considerado una tecnología muy solicitada, ya que puede ofrecer una nueva forma de involucrar a los turistas y mejorar su experiencia de viaje. Sin embargo, la adopción de la RV por parte de los turistas senior (que son uno de los grupos potenciales de turistas) aún es relativamente baja en el contexto del turismo. El presente estudio se propuso responder a este déficit en la literatura examinando el impacto de las barreras que contribuyen a la resistencia y el escepticismo de los turistas mayores hacia la RV en el turismo.

Utilizando un enfoque transversal, los datos para este estudio se recopilaron de 600 turistas de la tercera edad elegibles a través de una encuesta mediante cuestionario. Para obtener respuestas válidas y fiables, se llevó a cabo una técnica de muestreo intencional con criterios de selección. Una vez depurados los datos y eliminados los sujetos no válidos, se procedió a su análisis en una muestra de 546 individuos utilizando paquetes de software estadístico como SPSS y la técnica de modelado de ecuaciones estructurales basada en la covarianza AMOS.

En el marco de la teoría de la resistencia a la innovación, los resultados del estudio ponen de manifiesto la importancia de las barreras técnicas y psicológicas para explicar la resistencia y el escepticismo de los turistas de la tercera edad hacia el uso de la RV en el turismo. En concreto, el riesgo percibido, la incompatibilidad percibida, la ansiedad tecnológica, la inercia y la falta de interacción humana se asociaron con el escepticismo y la resistencia de los turistas mayores hacia el uso de la RV en el turismo. Sin embargo, no se encontró ninguna relación significativa entre la complejidad percibida y la resistencia. Además, tanto el escepticismo como la resistencia influyen en las intenciones de no adoptar la RV.

Este estudio es uno de los pocos que examinan el territorio menos explorado de la literatura turística en relación con la no adopción de la innovación contemporánea (es decir, la tecnología de RV) para fines de turismo virtual. Además, esta investigación también se centra en la perspectiva de los turistas senior, que representan un segmento de mercado prometedor en el sector turístico. El presente estudio contribuye con éxito a la literatura existente al ofrecer una perspectiva empírica y poner de relieve las barreras u obstáculos que provocan el escepticismo y la resistencia de los usuarios hacia el uso de la RV con fines turísticos, lo que podría influir directamente en su intención de no adopción y en el éxito del turismo virtual.

Electronic books (e-books) have been in the market for decades but have been unable to replace paper books. Previous studies on e-books have failed to identify significant factors affecting the adoption and diffusion of e-books. This study develops a theoretical framework to explain the adoption behavior of e-books from the perspective of user resistance.

After a pilot test with 50 e-book users, the research model is validated using a partial least squares structural equation modeling (PLS-SEM) technique. A web-based survey method is used to collect data from a sample of 350 people – selected from Korean e-book users and nonusers – during a week in March 2017. This study tests the reliability and validity of the integrated model of planned behavior and resistance theory and tests the hypotheses with bootstrapping resampling.

The results show that four barriers – usage, value, risk and image – cause resistance to change and users with higher resistance have lower intention to use. The moderating effect of self-efficacy between resistance to change and intention to use is confirmed. Self-efficacy interacts not only with the encouraging factors but also with resistance.

This study expands the understanding of users' adoption behavior of e-books by examining inhibiting factors using a novel integrated model. The findings of this research provide insights for digital product providers, especially e-book publishers, to understand why digital products have not been successful in the marketplace.

Animal welfare is increasingly favoured by consumers in their choice of food and cosmetic products, proposed by manufacturers and retailers. This study aims to investigate the impact of the “not tested on animals” claim on consumers' attitude and behavioural intention towards a cosmetic product through an enriched version of Ajzen's theory of planned behaviour.

A between-subjects design has been used. 450 participants were recruited through the social network of a cosmetics and personal hygiene brand in Quebec, Canada, and answered a questionnaire. They were randomly assigned to either a manipulation group (n = 226) or a control group (n = 224). Data were analysed with partial least squares structural equation modelling.

This study shows that external (credibility and attitude towards marketing claims) and internal psychological variables (subjective norms and altruistic concerns with animal welfare) influence attitude towards and purchase intention of “not tested on animals” personal care products. More egotistic concerns, such as personal appearance, also explain the formation of attitude towards cruelty-free cosmetics.

This research supplements Ajzen's original model with internal psychological (individuals' concerns with animal welfare and personal appearance) and external (general credibility of cosmetic products claims, credibility of the “not tested on animals” claim and attitude towards this claim) variables. These variables, as suggested by previous research on cosmetics and their claims, improve the understanding of consumer attitude and purchase behaviour patterns.

The study's findings point out the role of companies to increase consumers' knowledge on the significance and transparency of their messages, notably the “not tested on animals” claim. They also stress that policymakers in regions where regulation is unclear should at least punish untruthful communication pertaining to animal testing in cosmetic and personal care products.

Prior studies on cosmetic products did not investigate the difference of consumer attitude formation towards cruelty-free products compared to conventional cosmetic products. Consequently, this research shows that the construction of attitude towards cruelty-free products highly differs from conventional personal care.

Co-creation of services (CCOS) is a collaborative strategy that emphasises customer involvement and their expertise to increase the value of the service experience. In the service ecosystem, artificial intelligence (AI) plays a key role in value co-creation. Therefore, this study is undertaken to empirically uncover how AI can empower CCOS.

The source data were collected from 305 service provider respondents and quantitative methodology was applied for data analysis.

New service development augmented with AI provides tangible value to service providers while also providing intangible value to supportive customers. With AI, service providers adapt to new innovations and enrich additional information, which eventually outperforms human-created services.

AI adoption for CCOS empowerment in service businesses brings “service-market fit”, which represents the significant benefits wherein customers contribute to creativity, intuition, and contextual awareness of services, and AI contributes to large-scale service-related analysis by handling volumes of data, service personalisation, and more time to focus on challenging problems of the market.

This study presents theoretical concepts on AI-empowered CCOS, AI technological innovativeness, customer participation in human-AI interaction, AI-powered customer expertise, and perceived benefits in CCOS, and subsequently discusses the CCOS empowerment framework. Then, it proposes a novel conceptual model based on the theoretical concepts and empirically measures and validates the intention to adopt AI for CCOS empowerment. Overall, the study contributes to novel insight on empowering service co-creation with AI.

Technology 4.0 comes with a challenge to understand the degree of users’ willingness to adopt a digital transformation. Metaverse, being a digital transformation, enables real-world activities in the virtual environment, which attracts organizations to adopt the new fascinating technology. This paper thus explores the uses and gratification factors affecting user adoption and recommendation of metaverse from the management perspective.

The study adopts a mixed approach where structural topic modeling is used to analyze tweets about the metaverse, and the themes uncovered from structural topic modeling were further analyzed through data collection using structural equation modeling.

The analyses revealed that social interaction, escapism, convenient navigability, and telepresence significantly affect adoption intent and recommendation to use metaverse, while the trendiness showed insignificance. In the metaverse, users can embody avatars or digital representations, users can express themselves, communicate nonverbally, and interact with others in a more natural and intuitive manner.

This paper contributes to research as it is the first of its kind to explore the factors affecting adoption intent and recommendation to use metaverse using Uses and Gratification theory in a mixed approach. Moreover, the authors performed a two-step study involving both qualitative and quantitative techniques, giving a new perspective to the metaverse-related study.