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This study aims to argue that user’s continued use behavior is contingent upon two perceptions (i.e. the app and the provider). This study examines the moderating effects of user’s perceptions of apps and providers on the effects of security and privacy concerns and investigate whether assurance mechanisms decrease such concerns.

This study conducts a scenario-based survey with 694 mobile cloud computing (MCC) app users to understand their perceptions and behaviors.

This study finds that while perceived value of data transfer to the cloud moderates the effects of security and privacy concerns on continued use behavior, trust only moderates the effect of privacy concerns. This study also finds that perceived effectiveness of security and privacy intervention impacts privacy concerns but does not decrease security concerns.

Prior mobile app studies mainly focused on mobile apps and did not investigate the perceptions of app providers along with app features in the same study. Furthermore, International Organization for Standardization 27018 certification and privacy policy notification are the interventions that exhibit data assurance mechanisms. However, it is unknown whether these interventions are able to decrease users’ security and privacy concerns after using MCC apps.

With the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages. The intention of this exploratory study is to investigate the role/impact of selected factors in adopting three MEPAs of China: Wechat, Alipay and UnionPay based on the extended technology acceptance model (ETAM). After conducting a thorough and careful literature review, this study identified and divided seven such factors into three broad categories: (1) technological factors: perceived ease of use (PEU) and perceived usefulness (PU); (2) personal factors: perceived trust (PT), perceived privacy (PP) and perceived risk (PR); and (3) social factors: social influence (SI) and peer influence (PI) that were assumed to affect the intention to adopt MEPAs (IAMEPAs).

1,597 Chinese individuals were selected through purposive sampling technique who regularly used MEPAs at the time of collecting data. For collecting primary data from the selected respondents, a cross-sectional survey instrument was used. The study utilized IBM SPSS 25 for descriptive statistics and a second generation covariance-based structural equation modeling (CB-SEM) technique through AMOS 25 for testing the hypothesized relationships.

From statistical analysis, it was identified that five factors: PEU, PU, PT, SI and PI have significant positive impact on the dependent variable, IAMEPAs while PR and PP have insignificant influence on IAMEPAs.

This is one of the studies ever conducted to discover the factors that can have impact on the adoption of MEPAs using ETAM. It is strongly expected that this exploratory study can motivate the scholars to commence additional investigations regarding this increasingly popular financial technology (Fin-Tech). In addition, it can be anticipated that the MEPA service providers can widen their service effectiveness according to the users’ opinion reflected in this study. Furthermore, policymakers involved with Fin-Tech can also formulate and implement effective policies and guidelines based on the empirical outcomes.

The increase in mobile telephone penetration has offered new opportunities for technology to improve payment operations all over the world. Little research has examined the issues related to the decision-making (DM) of mobile payment systems usage in the Jordanian context. The purpose of this study is to examine the factors that may have an influence on the adoption of mobile payment systems. This study has empirically tested the expanded unified theory of acceptance and use of technology (UTAUT2) together with awareness (AW), trust (TR), security (SE) and privacy (PR) as independent variables to explain the mobile payment system adoption in Jordan.

In total, 270 employees participated in a field survey questionnaire from the public sector in Amman city, the capital city of Jordan. Data were analyzed through a quantitative approach of partial least squares–structural equation modeling.

The results mainly showed that the determinants of DM to use mobile payment system are price value, social influence, performance expectancy, AW and TR. All of these determinants explained 60.2% of the variation of DM. In total, 72.2% has been explained as the TR to use m-payment system by SE and PR. Furthermore, the results revealed that TR mediates the association between SE as well as PR and the DM to use mobile payment system.

Interestingly, these new variables were found to be important and contribute to the UTAUT2 model. Consequently, the decision-makers in the Central Bank of Jordan should consider all these factors when re-upgrading a Jordan Mobile Payment system in the near future.

As the competition to retain current and attract new mobile payment app users intensifies, meeting users’ needs has become fundamental for mobile payment app service providers to stay competitive. This study aims to investigate the relationship between users’ needs, users’ attitude towards mobile payment apps and users’ continuance intention to use mobile payment apps.

Following an exploratory sequential mixed methods research design, this study first conducted three focus groups in the qualitative phase to investigate issues or concerns faced by current users of mobile payment apps. The study then conducted an online questionnaire survey in the quantitative phase to collect responses from users of mobile payment apps. Partial least squares structural equation modelling was used to analyse 110 valid responses.

Findings show that usefulness (modelled as a second-order reflective construct consisting of three first-order reflective constructs, i.e. ease of use, acceptability and responsiveness), traceability and security had a statistically significant relationship with attitude towards mobile payment apps (which in turn had a statistically significant relationship with continuance intention to use mobile payment apps). It was also found that attitude towards mobile payment mediated the relationships between usefulness, traceability and security; and continuance intention to use mobile payment apps.

The findings of this study can help mobile payment app service providers and developers design apps that offer the functions and features that their users need.

Although some recent studies have investigated the adoption of mobile payments in the Malaysian context, few of these studies examined current users’ continuance intention to use mobile payment apps.

This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.

A quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model.

Significant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy.

The results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking.

Despite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.

This study aims to understand the impacts of Covid-19 on the progression of digitalization of banks in an emerging market. For this purpose, business model canvas (BMC) is used as a theoretical framework to explore these effects on each business elements of Turkish Banks’ business strategies.

Data are collected through structured interviews with the top managers of seven diversified banks. Interview questions are designed based on BMC.

The results show that the onset of the Covid-19 is a shock that has made digitalization a strategic issue that necessitates an urgent change in many business elements of banks such as customer relationships, communication channels, resource allocation, partnerships and financing. Further, it has stimulated redefining value proposition and collaboration/interaction among all financial institutions through digital platforms.

BMC can be used to explain decision-making and business processes of banks for exploring the effect of recent and/or unexpected developments in the business environment of an emerging economy. The results provide insights and recommendations to managers of financial institutions into the impacts of Covid-19 on banks’ operational and strategic processes. That allows financial institutions, including Fintechs, to use this information for taking precautions and proactive actions against shocks.

This study is an initial attempt to explore the impacts of the Covid-19 on banks in an emerging economy by using BMC. With that, this study contributes to the literature by explaining the effect of progression of digitalization in banking from a strategic business model perspective using a qualitative research method.

This paper aims to investigate the effects of virtual reality experiences (VREs) and emotions on holiday destination visit intentions by applying the stimulus-organism-response (S-O-R) framework. It also examined the role of amateur photography as a moderator in the relationship between VREs, emotions and visit intentions.

Primary data were collected through a structured survey questionnaire administered in India, and structural equation modelling (SEM) was used to examine relationships among variables. The formal survey was preceded by a pilot study. The partial least squares-SEM product indicator technique was applied to measure the moderation effect of amateur photography.

When people have high levels of positive emotions in the pre-travel stage with VRE participation, their intentions to visit destinations are stronger. Amateur photography moderated the relationships between user interactivity, memorable experiences, mental imagery and visit intentions. No significant moderating effect was found between emotional experiences and visit intentions.

The results indicate that creators of virtual reality (VR) communications should concentrate on producing interactive and visually striking VR content, as the research found that VR experiences with tourism-related activities have a significant impact on potential visitor emotions. Therefore, VR producers should incorporate authentic and distinctive elements into contents, giving viewers realistic and trustworthy VR tourism experiences. Destination marketers should evoke emotions in people to increase motivations to visit the VR-presented places. Destination marketers should create VR content with hedonic elements, fostering a connection and desire to visit the destination presented in the VR. For example, destination marketers can enhance the sensory aspects of VR content with audio, video, haptics and artificial intelligence, encouraging people to be emotionally captivated and fully immersed. The findings indicate that amateur photography has a significant moderating effect on prospective tourists’ intentions to visit a place presented in VR. Thus, destination marketers are advised to provide photogenic and relevant content to users. By using amateur photography, destinations can market their attractions to potential visitors in a more interactive and relatable manner. Showcasing images taken by amateur photographers presents a genuine perspective of the offerings, thereby increasing visit intentions among prospective visitors. Additionally, amateur photography helps promote the destination in a positive light, emphasizing the attractions and other offerings, and this encourages potential visitors to consider the destination as a travel option, thereby increasing visit intentions. Encouraging amateur photographers to take and share images also increases their engagement with the destination, creating a sense of community and connection and ultimately driving visit intentions. Destination marketers should embrace VR tourism content as a means of promoting their destinations to potential customers by considering the three crucial elements of memorable experiences, emotional experiences and mental imagery. In essence, destination management organizations and other decision makers should develop complete VR communication plans that incorporate interactive and visually striking activities. This can be done by creating VR experiences for prospective tourists, which will enable them to pick their preferred destinations at the pre-travel stage. Through this approach, an effective destination marketing strategy can be established.

This research has value in making several potential contributions to the tourism applications of VR. It is the first study to use and test the S-O-R framework to analyse tourist behaviour from the perspective of emotions generated by VR applications. The analysis focuses on India’s tourism market, which has not been explored much in the context of VR and from the perspective of a developing country. The research emphasizes the use of VR as a tool to understand tourist behaviour rather than just focusing on visit intentions. The findings provide valuable insights into the importance of VR in tourism. The knowledge generated will contribute to the understanding of the impact of VR experiences on emotions and visit intentions and the moderating effect of amateur photography. It has practical implications for destination marketers in developing effective marketing strategies that enhance tourists’ emotions and motivate visit intentions.

本研究运用刺激-机体-反应(S-O-R)框架, 探讨虚拟现实体验（VREs）和情绪对度假目的地旅游意向的影响。还研究了业余摄影在VREs、情感和访问意图之间的关系中的调节作用。

通过在印度进行的结构化调查问卷收集原始数据, 并使用结构方程模型(SEM)来检查变量之间的关系。在正式调查之前进行了一项试点研究。采用PLS-SEM结果指标方法测量业余摄影的调节效果。

当人们在旅行前的VRE参与阶段拥有高水平的积极情绪时, 他们访问目的地的意愿会更强。业余摄影调节了用户交互性、纪念体验、心理意象和访问意图之间的关系。情绪体验与访问意向之间无显著调节作用。

本研究对虚拟现实的旅游应用有几个可能的贡献。这是第一个使用并测试刺激-生物-反应(S-O-R)框架的研究, 从VR应用产生的情感角度分析游客行为。分析集中于印度的旅游市场, 而在VR的背景下和从一个发展中国家的角度来看, 印度的旅游市场还没有得到太多的探索。该研究强调将VR作为一种了解游客行为的工具, 而不仅仅是关注游客的意图。这些发现为VR在旅游业中的重要性提供了有价值的见解。所产生的知识将有助于理解VR体验对情绪和访问意图的影响以及业余摄影的调节作用。这对目的地营销人员制定有效的营销策略, 增强游客的情绪和激发旅游意图具有实际启示。

Esta investigación analizó los efectos de las experiencias de realidad virtual (VREs) y las emociones en las intenciones de visita a destinos vacacionales aplicando el modelo estímulo-organismo-respuesta (S-O-R). También examinó el papel de la fotografía amateur como moderador en la relación entre las VREs, las emociones y las intenciones de visita.

Los datos primarios se recogieron mediante una encuesta con cuestionario estructurado administrado en la India, y se utilizó la modelización de ecuaciones estructurales (SEM) para examinar las relaciones entre las variables. La encuesta principal fue precedida de un estudio piloto. Se aplicó la técnica PLS-SEM para medir el efecto moderador de la fotografía amateur.

Cuando las personas poseen un alto nivel de emociones positivas en la etapa previa al viaje con participación en VRE, sus intenciones de visitar destinos son más fuertes. La fotografía amateur moderó las relaciones entre la interactividad del usuario, las experiencias memorables, las imágenes mentales y las intenciones de visita. No se encontró ningún efecto moderador significativo entre las experiencias emocionales y las intenciones de visita.

Esta investigación tiene el valor de hacer varias contribuciones potenciales a las aplicaciones turísticas de la realidad virtual. Es el primer estudio que utiliza y pone a prueba el marco estímulo-organismo-respuesta (S-O-R) para analizar el comportamiento de los turistas desde la perspectiva de las emociones generadas por las aplicaciones de RV. El análisis se centra en el mercado turístico de la India, poco explorado en el contexto de la RV y desde la perspectiva de un país en desarrollo. La investigación hace hincapié en el uso de la RV como herramienta para comprender el comportamiento de los turistas, en lugar de centrarse únicamente en las intenciones de visita. Las conclusiones aportan valiosas ideas sobre la importancia de la RV en el turismo. Los conocimientos generados contribuirán a comprender el impacto de las experiencias de RV en las emociones y las intenciones de visita, así como el efecto moderador de la fotografía amateur. Se presentan implicaciones prácticas para los responsables de marketing de los destinos turísticos a la hora de desarrollar estrategias de marketing eficaces que potencien las emociones de los turistas y motiven las intenciones de visita.

The coronavirus disease 2019 (COVID-19) pandemic has had a big impact on organisations globally, leaving organisations with no choice but to adapt to the new reality of remote work to ensure business continuity. Such an unexpected reality created the conditions for testing new applications of smart home technology whilst working from home. Given the potential implications of such applications to improve the working environment, and a lack of research on that front, this paper pursued two objectives. First, the paper explored the impact of smart home applications by examining the factors that could contribute to perceived productivity and well-being whilst working from home. Second, the study investigated the role of productivity and well-being in motivating the intention of remote workers to use smart home technologies in a home-work environment in the future.

The study adopted a cross-sectional research design. For data collection, 528 smart home users working from home during the pandemic were recruited. Collected data were analysed using a structural equation modelling approach.

The results of the research confirmed that perceived productivity is dependent on service relevance, perceived usefulness, innovativeness, hedonic beliefs and control over environmental conditions. Perceived well-being correlates with task-technology fit, service relevance, perceived usefulness, perceived ease of use, attitude to smart homes, innovativeness, hedonic beliefs and control over environmental conditions. Intention to work from a smart home-office in the future is dependent on perceived well-being.

The findings of the research contribute to the organisational and smart home literature, by providing missing evidence about the implications of the application of smart home technologies for employees' perceived productivity and well-being. The paper considers the conditions that facilitate better outcomes during remote work and could potentially be used to improve the work environment in offices after the pandemic. Also, the findings inform smart home developers about the features of technology which could improve the developers' application in contexts beyond home settings.

The use of technology in 4th industrial revolution is at its peak. Industries are trying to reduce the consumption of resources by effectively utilizing information and technology to connect different functioning agents of the manufacturing industry. Without digitization “Industry 4.0” will be a virtual reality. The present survey-based study explores the factual status of digital manufacturing in the Northern India.

After an extensive literature review, a questionnaire was designed to gather different viewpoints of Indian industrial practitioners. The first half contains questions related to north Indian demographic factors which may affect digitalization of India. The latter half includes the queries concerned with various operational factors (or drivers) driving the digital revolution without ignoring Indian constraints.

The focus of this survey was to understand the current level of digital revolution under the ongoing push by the Indian government focused upon digital movement. The analysis included non-parametric testing of the various demographic and functional factors impacting the digital echoes, specifically in Northern India. Findings such as technological upgradations were independent of type of industry, the turnover or the location. About 10 key operational factors were thoughtfully grouped into three major categories—internal Research and Development (R&D), the capability of the supply chain and the capacity to adapt to the market. These factors were then examined to understand how they contribute to digital manufacturing, utilizing an appropriate ordinal logistic regression. The resulting predictive analysis provides seldom-seen insights and valuable suggestions for the most effective deployment of digitalization in Indian industries.

The country-specific Industry 4.0 literature is quite limited. The survey mainly focuses on the National Capital Region. The number of demographic and functional factors can further be incorporated. Moreover, an addition of factors related to ecology, environment and society can make the study more insightful.

The present work provides valuable insights about the current status of digitization and expects to facilitate public or private policymakers to implement digital technologies in India with less efforts and the least resistance. It empowers India towards Industry 4.0 based tools and techniques and creates new socio-economic dimensions for the sustainable development.

The quantitative nature of the study and its statistical predictions (data-based) are novel. The clubbing of similar success factors to avoid inter-collinearity and complexity is seldom seen. The predictive analytics provided in this study is quite elusive as it provides directions with logic. It will help the Indian Government and industrial strategists to plan and perform their interventions accordingly.

As a distinctive form of communist heritage tourism, the ideology and government-led form of red tourism warrants an in-depth examination of how tourists consume and perceive it. This study aims to reveal tourists’ perception of red tourism through the lens of destination image.

This study collected 9,819 user-generated photographs within four types of red tourism destinations (RTDs) and used a computer visual and semiotic analysis approach to conduct photograph-based cognitive and affective attributes extraction. Network analysis further visualized the co-relations between cognitive images and affective images. ANOVA analysis compared the differences of the four types of destination images.

Ten dimensions of cognitive image and eight categories of affective image of red tourism were identified. It found that monuments, statues, memorial symbols were the distinctive cognitive features, and admiration was the most dominant emotion. Heterogeneity of destination images was identified among the four types of RTDs.

To the best of the authors’ knowledge, the study is one of the first to explore tourists’ consumption of red tourism through the lens of destination image, which reveals the inconsistencies between the officially projected images and tourists’ perceived images of red tourism. Using Plutchik’s model, it validates a series of positive and negative emotions contributing to the affective images of red tourism, which expands the findings of emotions within the extant red tourism research. Through combined applications of computer visual and semiotic analysis, ANOVA, network analysis and model visualization, the study provides an important methodological triangulation for photograph-based destination image studies.

红色旅游作为共产主义旅游的独特形式, 游客如何感知这种国家意识形态植入与政府主导型旅游值得深入研究。本研究旨在从目的地意象视角揭示游客红色旅游感知。

本研究收集四种类型的红色旅游地9819张用户生成照片, 利用计算机视觉-情感析法对照片进行认知和情感元素提取。复杂网络分析揭示了认知意象与情感意象之间的关联。方差分析比较了四种红色旅游地意象的差异。

本研究确定了红色旅游认知意象的十个维度和情感意象的八个类别。研究发现, 纪念碑、雕像、纪念符号是其独特的认知意象元素, 钦佩是其最主要的情感，四种类型红色旅游地意象存在差异性。

本文是同类研究中首次从目的地意象视角探索游客对红色旅游地感知, 揭示了红色旅游官方投射意象与游客感知意象之间的差异。利用Plutchik情感之轮模型, 验证了一系列积极和消极情绪构成红色旅游地情感意象, 拓展了红色旅游的情感发现。综合运用计算机视觉-情感分析、方差分析、网络分析和模型可视化等方法, 为基于照片的旅游目的地意象研究提供了一个重要方法。

Como forma distintiva del turismo del patrimonio comunista, la ideología y la forma gubernamental del turismo rojo justifican un examen en profundidad de cómo lo consumen y perciben los turistas. Este estudio pretende revelar la percepción que tienen los turistas del turismo rojo desde la perspectiva de la imagen del destino.

Este estudio recopiló 9.819 fotografías generadas por los usuarios dentro de cuatro tipos de destinos de turismo rojo, y utilizó un enfoque de análisis visual y semiótico por ordenador para llevar a cabo la extracción de atributos cognitivos y afectivos basados en fotografías. El análisis de redes visualizó además las correlaciones entre las imágenes cognitivas y las imágenes afectivas. El análisis ANOVA comparó las diferencias de los cuatro tipos de imágenes de destino.

Se identificaron diez dimensiones de imagen cognitiva y ocho categorías de imagen afectiva del turismo rojo. Se descubrió que los monumentos, las estatuas y los símbolos conmemorativos eran los rasgos cognitivos distintivos, y la admiración la emoción más dominante. Se identificó una heterogeneidad de imágenes de destino entre los cuatro tipos de destinos de turismo rojo.

El estudio es uno de los primeros en explorar el consumo de turismo rojo por parte de los turistas a través de la lente de la imagen del destino, lo que revela las incoherencias entre las imágenes proyectadas oficialmente y las imágenes percibidas por los turistas del turismo rojo. Utilizando el modelo de Plutchik, valida una serie de emociones positivas y negativas que contribuyen a las imágenes afectivas del turismo rojo, lo que amplía los hallazgos sobre las emociones dentro de la investigación existente sobre el turismo rojo. Mediante aplicaciones combinadas de análisis visual y semiótico por ordenador, ANOVA, análisis de redes y visualización de modelos, el estudio proporciona una importante triangulación metodológica para los estudios de la imagen del destino basados en fotografías.