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Previous research suggests that perceived risk is an important ingredient in the consumer decision‐making process. The purpose of the present study is to investigate what are the perceived barriers to Internet usage and e‐marketing by both users and non‐users. By understanding these potential obstacles, more efficient marketing strategies will become available that will drive Internet use and e‐commerce. A detailed perceived risks map has been developed using a qualitative research paradigm. We suggest a model with the factors affecting the Internet’s perceived risk elements. The factors are demographic traits and usage behavior characteristics. The model is tested against a sample of 465 employed adults.

Discusses a conceptual framework of perceived risk consolidating and interrelating the numerous theories and research results. Adumbrates the measurement of perceived risk, consumer risk handling, risk reduction methods and consumer preference for risk reduction methods. Posits that although the area of consumer behaviour as a risk‐taking function has been extensively researched since 1960, there are many aspects needing further investigations. States that research into levels of risk between different product classes is necessary. Sums up that the concept of perceived risk may have been extensively investigated, considerable opportunity exists for further refinement and meaningful study.

This research proposes and examines a theoretical model grounded in anthropomorphism theory considering the curvilinear and linear relationships between service robot anthropomorphism and consumer usage intention and explores the mediating effect of perceived risk.

To examine the developed model, two complementary studies are designed. In Study 1, multi-time data of 511 participants show that service robot anthropomorphism inverts U-shaped (curvilinear) relationship on consumer usage intention and perceived risk mediates this curvilinear relationship. In Study 2, multi-source data of 460 volunteers are used to confirm the findings of Study 1 and examine that consumer empathy moderates the complex nonlinear effect of service robot anthropomorphism on perceived risk, and the indirect curvilinear effect of service robot anthropomorphism on consumer usage intention through perceived risk.

This research provides preliminary and yet important findings on how service robot anthropomorphism most likely is positively associated with consumer usage intention, i.e. the positively influence mechanism of service robot anthropomorphism on consumer usage intention.

This research provides preliminary and yet important findings on how service robot anthropomorphism most likely is positively associated with consumer usage intention, i.e. the positively influence mechanism of service robot anthropomorphism on consumer usage intention.

The objective of this study was to analyse the effects of major determinants on VCT adoption intention among higher educational leaders. Also, this study aims to investigate how perceived risk and perceived benefits influence the educational leaders, VCT actual use intention.

The authors used the online survey method to collect the 440 responses through purposive sampling procedure. Structural equation modelling (SEM) technique and Multi Group Analysis procedure were used to test the proposed model and moderating effects.

The findings revealed that all the four determinants (PE, EE, SI and FC) based on UTAUT model have positive and significant effects on intention to use VCT. Besides this there is a significant and positive effect of intention to use VCT on actual usage of VCT by the educational leaders. The moderating effect of perceived risk and perceived benefits on actual usage of virtual communication also found significant.

This paper makes its contribution to the literature related to virtual communication technology adoption by including two moderator variables (perceived risk and benefits) that are expected to affect educational leaders' actual usage of VCT. The results can also help researchers and practitioners better understanding the factors that influence higher educational leaders to adopt VCT.

This study proposed a model incorporating the perceived risk and perceived benefits in the UTAUT model to predict the actual use of VCT. The study endeavours to investigate the moderating effects of perceived risk and perceived benefits between ITUVCT and AUVCT in Indian educational context.

Applying the value creation of corporate social responsibility (CSR), this study aims to investigate the direct effect of preventive measures in the postpandemic world on Airbnb consumers’ attitudes toward the host, which may further impact their behavioral intentions. It also examined the mediating role of perceived risk and perceived motives, as well as the moderating role of message strategies and risk tolerance in this process.

A 2 (preventive measures: basic versus enhanced) × 2 (message strategies: promotional social cause message [PSC] versus partake-in-our-cause message [PIOC]) between-subjects factorial design was conducted with a sample of 476 US Airbnb consumers through an online survey. PROCESS macro was used for hypothesis testing.

Results demonstrated that enhanced preventive measures had more positive impact on Airbnb consumers’ attitudes toward the host, which was positively related to positive word of mouth and booking intention. Perceived risk and perceived motives mediated the relationship between preventive measures and attitude toward Airbnb hosts. Positive relationships between attitude toward the host and behavioral intentions were strengthened when PIOC was used than PSC. The negative relationship between preventive measures and perceived risk was enhanced when PIOC was used than PSC. Risk tolerance did not interact with messages strategy to impact the relationship between preventive measures and perceived risk.

The study uncovered the mechanisms by which consumers form their responses toward different safety information of Airbnb accommodations postpandemic and the role of message strategies in the process. It provided implications for the Airbnb platform and hosts in the postpandemic period.

This research analyses the simultaneous relationship between perceived risks, destination image and destination loyalty as well as the mediating role of two components of destination image (cognitive and affective) in the relationship between perceived risks and destination loyalty.

The current study used a convenience sampling method for collecting data from 413 respondents using a self-administered questionnaire. Furthermore, the two-step approach for structural equation modelling (SEM) was used to assess the model's psychometric properties and test the proposed structural model.

The results revealed that only socio-psychological and political risks negatively affected destination loyalty. In contrast, performance risk, physical risk and financial risk did not show a significant direct effect on tourists' destination loyalty. Each type of perceived risk significantly contributed to cognitive and affective image formation. However, the financial risk did not significantly affect the affective image. Moreover, the affective component of the image was found to have a higher impact on establishing destination loyalty than the cognitive component of the image. Finally, cognitive and affective facets of the image were found to act as significant mediators between perceived risks and destination loyalty.

The study provides a better understanding of how perceived risks and destination image, if properly managed, exert a better influence on destination loyalty. Moreover, the affective dimension of destination image must be actively used to position Kashmir in the domestic tourism market and connect with individuals, especially those who have negative feelings regarding risky destinations.

This is likely to be the first study to investigate the relationships between various dimensions of perceived risk, destination image and destination loyalty in the context of a volatile destination, i.e. Kashmir Valley (India). Furthermore, the role of two facets of destination image (cognitive and affective) in mediating the relationship between perceived risks and destination loyalty extends and contributes to the theoretical foundation for the destination perception concept.

The purpose of this paper is to investigate consumer perceptions of personal risk and benefits of digital piracy behavior as determinants of one's justification for such behavior and the consequent future piracy intention. Temporal effects of rationalization in shaping future piracy intent are also addressed.

A conceptual model was developed using counterfeiting and piracy literature. Data were gathered via mail and online survey of adults in five European Union countries. The model was tested on pooled sample using confirmatory factor analysis and structural equation modeling.

Rationalization mediates the relationship between perceived benefits and piracy intention, but not between perceived risk and intention. Both perceived risk and benefits affect piracy intent, with risk reducing it and benefits increasing it. Rationalization of past behavior increases future digital piracy intent.

Risk measure was limited to technical problems, thus future studies should examine a wider scope of risk dimensions. The cross‐sectional design of the study also creates some limitations. A longitudinal methodology could provide a better insight into sequencing of rationalization.

Marketing communications should increase public awareness of risks and reduce perceived piracy benefits to reduce future piracy intent. Public persuasion activities should counter the arguments consumers use to rationalize their piracy behavior.

This research fills in a void in knowledge on how expected consequences drive rationalization techniques, particularly with respect to future piracy intent. A realistic data set drawn from adult population in five countries is used, enhancing external validity.

Cryptocurrency, an important application of blockchain technology, has gradually circulated, and its use has become widespread. While cryptocurrency is growing rapidly, potential risks are simultaneously emerging. Users thus may abandon their usage behavior of cryptocurrency, hindering the future development of cryptocurrency. While prior studies focus more on the intention to use cryptocurrency in the pre-adoption phase, less studies pay attention to discontinuance usage intention in the post-adoption phase. To fill this knowledge gap, this stfudy aims to explore factors that cause discontinuance usage intention regarding cryptocurrency.

Based on the net valence framework theoretically grounded on the theory of reason action, a dilemmatic dual-factor model is proposed to figure out cryptocurrency users' discontinuance usage intention from the perceived risk and perceived benefit. This study identifies four potential risks and three potential benefits that affect perceived risk and benefit. The model with nine hypotheses were developed, and research data were collected by a survey method. A total of 343 valid responses were received, and PLS-SEM with SmartPLS was utilized to test the nine hypotheses, with seven hypotheses supported empirically.

Our findings demonstrate that financial, legal and operational risks are critical to increase users' perceived risk, and perceived usefulness and seamless transactions play important roles in enhancing users' perceived benefit. Moreover, while perceived risk can increase users' discontinuance usage intention to cryptocurrency, perceived benefit can mitigate such intention.

This study contributes nascent knowledge to the literature by examining factors that influence discontinuous usage intention in regard to cryptocurrencies, to firms that have issued or attempted to issue cryptocurrencies and to the potential users of cryptocurrencies by adjusting the mode of operation and investment strategies and reducing user costs, achieving a win-win situation for firms and users.

This paper aims to study the antecedents of Internet of Things (IoT) adoption among farmers and determine how trust in the technology influences its adoption when mediated by perceived value and risk. Through the conceptualization of trust and perceived risk, the authors factor in farmers’ perceptions of agricultural technology providers and discuss different forms of perceived value, spanning economic, green and epistemic value.

This paper develops a distinctive research design, drawing on elements of the value-based adoption and technology acceptance models. By linking different elements of perceived value with IoT technology, the authors also apply the service-dominant logic to this study. They study how trust affects perceived value and risk and then determine how perceived value and risk, in turn, affect IoT adoption. The authors test the hypotheses by developing a structural equation model to analyze the results of a survey, wherein 492 farmers from Iowa, the USA, participated.

The results show a positive relationship between trust and perceived value and a negative relationship between trust and perceived risk. Perceived value had a positive impact on IoT adoption, whereas perceived risk had a negative impact on IoT adoption.

The research findings on trust and perceived value and risk are timely and relevant for business-to-business (B2B) marketing practitioners and agricultural stakeholders, especially in an era where farmers are expressing growing concerns about data handling risk posed by IoT technology adoption.

The research findings signal a transition in focus from the goods-dominant logic to the service-dominant logic in agriculture, whereby farmers are drawn to IoT technology because of perceived economic, green and epistemic value and as a result, can differentiate themselves on how well they deploy operant resources. This paper not only provides a unique conceptualization of perceived value but also pave the way for a richer conceptualization of IoT core functions that enable farmers to fulfill green and epistemic goals. This is the first B2B marketing paper discussing the antecedents of IoT adoption in agriculture, such as farmers’ perceptions of both monetary and non-monetary forms of value and perceived data handling risk.

The paper aims to examine the effect of physical distancing control on the intention to travel during the pandemic and to assess the influence of knowledge, social concern and perceived risk on the theory of planned behavior (TPB).

A total of 1,068 Indonesian respondents through a purposive sampling approach, filled out online questionnaires during the pandemic. The collected data were analyzed using partial least squares-structural equation modeling.

The results indicated that subjective norm as the external factor of the TPB has a stronger effect than the internal factors; attitude and behavioral control. It appears that in a collectivist society, prohibition enforced by family and friends, as well as the government’s sanctions have a stronger influence on one’s decision to travel. The findings also suggested that knowledge, perceived risks and social concern effect tourists’ behavior. Uncertainty and inadequate knowledge will decrease the level of perceived risk, which leads to lower control in practicing physical distancing and increasing intention to travel during the pandemic.

The research has limitations in its use of a convenient sampling method. This method may not represent the whole population, causing the results to be difficult for generalization. There is also the need for extending the TPB model with different variables in the context of tourism and pandemic. This study enriches the existing tourism literature by applying TPB to examine tourists’ behavior during the Covid-19 pandemic, focusing on knowledge, social concern and perceived risk theory.

This paper offers useful insights for tourism planners in the government and private destination management levels. It is crucial for a destination management organization to understand the relationship between knowledge, perception and social concern with tourists’ behavior while traveling during pandemics. The understanding of tourist’s behavior when traveling during the pandemic will assist in developing and creating activities and designing health protocols at tourist attractions.

This study extended the TPB to analyze tourists behavior during the pandemic by applying knowledge, social concern and perceived risk elements.

本研究旨在解释疫情期间社交距离控制对出行意图的影响，并分析知识，社会意识和风险感知在计划行为理论中的作用。

在新冠肺炎疫情期间，通过目的性抽样的方法， 1,068名来自印度尼西亚的受访者参与了网络问卷调查。所获数据通过PLS-SEM分析。

结果表明，主观规范作为计划行为理论的外部因素比内部因素（态度和行为控制）具有更强的作用。在集体主义社会中，来自亲友的禁令以及政府的制裁似乎对旅行决策产生了更大的影响。研究结果还表明，知识、风险感知和社会关注会影响游客的行为。不确定性和知识不足将降低风险感知的水平，从而导致人们对距离控制的疏忽，并在疫情期间增加旅行意向。

该研究存在局限性在于使用了方便样本。此样本不能代表整个群体，因此研究结果可能不具有极高的普适性。未来关于疫情下出游的研究，需要继续延申计划行为理论，探讨该模型与其他变量的关联。本研究丰富了现有的游客研究，主要贡献针对计划行为理论在疫情下出游这一场景中的应用，和与知识、社会意识和风险感知的理论建构。

这项研究为公共与私人旅游区的管理做出了重要贡献。 目的地管理组织（DMO）必须了解在疫情期间的游客的行为与知识、风险感知和社会关注之间的关系。这些疫情下游客行为的理论建构能够帮助开发游客活动，并为疫情下旅游区游客健康守则提供设计参考。

这项研究是对计划行为理论的拓展，并且是对该理论模型在疫情下出游的具体应用；研究分析了此理论模型与知识、社会关注和风险感知的关联。

关键词：社交距离，疫情期间的出游，新冠肺炎疫情，计划行为理论，风险感知，社会关注

文章类型：研究论文

Este artículo analiza los efectos del control de la distancia física en la intención de viajar durante la pandemia y la influencia del conocimiento, la preocupación social y riesgo percibido en la teoría del comportamiento planificado (TPB).

A través de un sistema de muestreo por conveniencia, se obtuvo una muestra de 1.068 participantes de Indonesia que completaron la encuesta online durante la pandemia. La información recopilada fue analizada a través del PLS-SEM.

Los resultados indicaron que la norma subjetiva como factor externo de la teoría del comportamiento planificado ejerce un efecto superior al de los factores internos; actitud y control del comportamiento. Resulta que, en una sociedad colectivista, la prohibición reforzada por la familia y amigos, así como las sanciones del gobierno ejercen una influencia mayor en la decisión individual de viajar. Los resultados también sugieren que el conocimiento, los riesgos percibidos y la preocupación social afectan al comportamiento del turista. La incertidumbre y el desconocimiento disminuyen el nivel de riesgo percibido lo cual conduce a un menor control a la hora de cumplir con el distanciamiento físico y a una mayor intención de viajar durante la pandemia.

Las limitaciones de esta investigación tienen su origen en el sistema de muestreo de conveniencia utilizado en esta investigación. Este método puede no representar al total de la población, lo cual provoca dificultad en la generalización de los resultados. También existe la necesidad de ampliar el modelo de la teoría del comportamiento planificado (TPB) incorporando variables propias del contexto turístico y de la pandemia. Este estudio supone una aportación a la literatura existente en turismo al aplicar la teoría del comportamiento planeado al análisis del comportamiento de los turistas durante la pandemia del covid-19, con un enfoque en el conocimiento, la preocupación social y la teoría del riesgo percibido.

Esta investigación es de utilidad para los responsables de la planificación de la actividad turística tanto a nivel gubernamental como privado. Es crucial para que las organizaciones responsables de la gestión del destino (DMO) comprendan la relación existente entre conocimiento, percepción y preocupación social, con el comportamiento de los turistas cuando viajan en tiempos de pandemia. La comprensión del comportamiento de los turistas cuando viajan durante la pandemia ayudará a desarrollar, crear actividades y diseñar protocolos de salud en las atracciones de los turistas.

Este estudio extiende la teoría de comportamiento planificado al análisis del comportamiento de los turistas durante la pandemia a través de la aplicación del conocimiento, preocupación social y elementos de riesgo percibido.