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This study aims to present a comprehensive investigation into users’ behavioural intentions to use e-pharmacies through the lens of the privacy calculus model. The present study also investigates the effects of perceived benefit, perceived privacy risk, timeliness and perceived app quality on e-pharmacy usage through the mediating role of trustworthiness.

The study used a deductive approach and collected data from 338 respondents using the purposive sampling technique. partial least squares structural equation modelling was applied to analyse the data.

The findings of the study indicate that perceived benefit, perceived privacy risk, timeliness and perceived app quality do not directly impact users’ behavioural intentions towards e-pharmacy adoption. Instead, it demonstrated that perceived benefit, perceived privacy risk, timeliness and perceived app quality influenced behavioural intention indirectly through the mediating role of trustworthiness

This study offers valuable insights to entrepreneurs, marketers and policymakers, enabling them to develop regulations, guidelines and policies that cultivate trust, safeguard privacy, ensure prompt services and create an enabling environment for the adoption of e-pharmacies. The present study also contributes to the existing literature by extending the privacy calculus model with the integration of timeliness and perceived app quality to explain users’ adoption behaviour towards e-pharmacy.

Branded applications (apps) are increasingly important in marketers' omnichannel strategies. They have not only changed the way customers purchase but also changed the way how companies interact with customers. Building on value co-creation literature, this research investigates consumer brand engagement's role in enhancing perceived quality and brand loyalty via value co-creation.

Using online survey data from 355 brand app users, a conceptual model is tested employing the partial least squares structural equation modeling.

The results suggest that not only does branded app personalization drives brand co-creation (fully mediated by consumer brand engagement) but that this process also increases perceived quality and brand loyalty among users of branded apps.

Data for the study are self-reported and thus may not accurately reflect actual attitudes and behaviors. In addition, respondents were students within the United States who, although representative of branded app users, may limit the generalizability of the study.

Knowing that branded apps can influence customers' perception of the quality and value of their apps, products and services, or even their associated brands, marketers and app designers should work together to provide a value co-creation platform through the apps to increase customers' personalized, engaging experience.

Although various relationships between personalization, engagement and co-creation have been studied, along with their impact on loyalty and perceived value, the interaction between these factors is not widely understood. The study examines these interactions in the context of branded apps, through the service-dominant logic perspective.

Mobile technologies have recently come to serve as the primary reservation option for the hospitality industry. This study examines the role of online experience in determining potential consumers' perceived hotel brand image, through a three-stage model based on the stimulus–organism–response (SOR) framework.

A dual-stage analytical procedure, including structural equation modeling (SEM) and an artificial neural network (ANN) approach, was adopted to test the hypotheses.

Online experience of mobile applications (apps) can be influenced by perceived usefulness. As the indivisible component of consumers' cognitive beliefs, perceived ease of use exerts a positive impact on online experience. The online experience of mobile apps positively influenced brand awareness and satisfaction, further contributing to potential consumers' brand image formation.

This study empirically verified the relationships among potential hotel consumers' perceptions of official hotel mobile app quality, online experience and brand image.

This study reiterates the importance of official hotel apps in implementing online marketing strategies, suggesting that hoteliers should pay attention to enhancing the quality of their official apps.

This study is one of the first to combine machine learning techniques with the traditional SEM approach to assess linear and nonlinear relationships in consumers' perceptual models. Additionally, the findings provide theoretical insights into the online experience of mobile apps and reveal the perceived brand image formation process of potential consumers.

This study aims to scrutinize the halal trust model by integrating the quality and valence theory in the mobile food purchasing service during the COVID-19 outbreak.

This research uses data from 368 Muslim customers collected via an online survey from Bandung, West Java, Indonesia. This study uses partial least square modelling to appraise the formation of halal trust, including halal food quality, mobile apps quality, perceived benefit and health risk as drivers and loyalty as the consequence.

The data analysis notes that the combination of perceived quality and valence theory provides a comprehensive understanding of halal trust in mobile halal food purchasing during COVID-19. This study also verifies the crucial role of halal food quality and mobile apps quality in gaining halal trust.

This study used data from Muslim customers of the greater Bandung, Indonesia. The data limited the generalization of this study's findings. Moreover, this study predicted halal trust by integrating perceived benefit, perceived trust and quality as the predictors, whereas other determinants such as commitment and reputation were not included. Therefore, future researchers can incorporate these issues in their future halal trust research.

To gain Muslim trust, this study recommends managers whose halal food is sold via mobile apps ensure that their halal food has a quality standard, made of, and processed according to Islamic values. Next, having a high-quality mobile app is also a must.

This study is early research that examines the integration of the quality and valence theory to evaluate halal trust in mobile halal food purchasing during COVID-19.

The current study extends the technology acceptance model (TAM) and information system success model (ISSM) to the context of branded sport applications. Specifically, the study examined the influences of app system success dimensions and TAM determinants on branded sport app usage intention. Moreover, the current study examined the gender differences regarding the relative importance of the drivers and predictors of usage intention.

Data collection (n = 256) was conducted using convenience sampling in South Korea. The data were primarily analyzed via partial least squares structural equation modeling (PLS-SEM), multi-group analysis and importance–performance map analysis (IPMA) using SmartPLS 3.0.

App users who viewed branded sport apps as having a higher level of system and information quality were likely to have stronger perceptions of enjoyment, usefulness, and ease of use. Among the TAM determinants, perceived enjoyment most significantly influenced their usage intention, followed by perceived usefulness and perceived ease of use. Multigroup analysis revealed that some relationships between app system success dimensions and TAM determinants were significantly different by gender. In addition, IPMA indicated that perceived enjoyment and system quality of branded sport apps were relatively more important than the other predictors.

The current study contributes to the literature by incorporating both TAM and ISSM and extending the TAM with the perceived enjoyment construct to examine the key determinants of usage intention in the context of branded sport apps.

This study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning.

Semistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning.

The following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence.

The study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance.

The study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.

Smartphones have influenced tourists’ information search behaviors and trip experiences in various ways. Operationalized in the air travel context, this study aims to apply the technology acceptance model (TAM) to unveil the causal relationships and potential compatibility or consistency between smartphone apps and travelers’ prior experiences, perceived technological congruence and technology value, attitudes toward price change and usage intentions.

Research data were collected via an online survey administered by a survey sampling company. The online questionnaire queries respondents’ frequency of downloading smartphone apps, familiarity with travel-related mobile apps, frequency of travel experiences, perceived technological congruence of the app and travel needs, attitudes toward price change, intention to purchase the mobile app and demographic information.

Results from structural equation modeling analysis indicate that travelers’ smartphone usage experiences significantly influence their perception of the device’s technological value in relation to travel needs and therefore results in positive attitudes toward price of the new mobile app and intention to use it. Prior trip experience, however, was not found to be an influential determinant in consumers’ smartphone acceptability, which departs from the existing literature.

This study provides evidence for the need to include perceived technological congruence in the construct of travelers’ TAM. It highlights the influence of the technology congruence variable and the compatibility of apps and travel needs in the literature.

智能手机对游客信息搜索行为和旅行体验有着很多影响。本论文针对航空旅行体验, 旨在通过科技接受模型TAM来检验智能手机APP和游客之前经历、感知科技一致性、科技价值、对价格变化的态度、以及使用倾向的关系。

采样数据通过专业问卷取样公司来做在线问卷调查。问卷主要测量受访者通过智能手机下载APP的频率、对旅游APP的熟悉度、旅游频率、APP和旅游需求的感知科技一致性、对态度变化的态度、购买APP的意向、以及统计人口数据。

本论文采用结构方程模型来分析数据, 结果表明, 游客智能手机使用体验对其旅游需求科技一致性有显著影响, 因此, 其对新APP态度和使用意图有积极影响。然而, 之前的旅行经历对消费者智能手机接受度并没有显著影响, 这与现有文献的研究结果有区别。

本论文研究了在游客科技接受模型TAM下的感知科技一致性, 其突出了科技一致性因素和APP与旅游需求协调性的重要性。

、航空旅行、智能手机, 关键词：、科技接受模型tam 、科技一致性

Artificial intelligence (AI) allows the brand to co-create value with young customers through mobile apps. However, as many brands claim that their mobile apps are using the most updated AI technology, young customers face app fatigue and start questioning the authenticity of this touchpoint. This paper aims to study the mediating effect of authenticity for the value co-creation of AI-powered branded applications.

Drawing from regulatory engagement theory, this study conceptualize authenticity as the key construct in customers’ value experience process, which triggers customer value co-creation. Two scenario-based online experiments are conducted to collect data from 444 young customers. Data analysis is performed using ANOVA and Process Hayes.

The results reveal that perceived authenticity is an important mediator between media richness (chatbot vs AI text vs augmented reality) and value co-creation. There is no interaction effect of co-brand fit (high vs low) and source endorsement (doctor vs government) on the relationship between media richness and perceived authenticity, whereas injunctive norms (high vs low) strengthen this relationship.

The finding provides insights for marketing managers on engaging young customers suffering from app fatigue. Authenticity holds the key to young customers’ technological perceptions.

This research highlights the importance of perceived authenticity in encouraging young customers to co-create value. Young customers consider authenticity as a motivational force experience that involves customers through the app’s attributes (e.g. media richness) and social standards (e.g. norms), rather than brand factors (e.g. co-brand fit, source endorsement).

The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.

A survey was administered to individuals residing in Spain between March and April 2021. There were 301 questionnaires analyzed. This research applies a new predictive model based on technology acceptance model (TAM) 2, the unified theory of acceptance and use of technology (UTAUT) model, the theory of perceived risk and the commitment trust theory. A mixed partial least squares structural equation modeling (PLS-SEM)/fuzzy-set qualitative comparative analysis (fsQCA) methodology was employed for the modeling and data analysis.

The results showed that all the variables proposed have a direct and positive influence on the intention to use a Coinbase Wallet. The findings present clear directions for traders, investors and academics focused on improving their understanding of the characteristics of these markets.

First, this study addresses important concerns relating to the adoption of crypto-wallets during the global pandemic. Second, this research contributes to the existing literature by adding electronic word of mouth (e-WOM), trust, web quality and perceived risk as new drivers of the intention to use the Coinbase Wallet, providing unique and innovative insights. Finally, the study offers a solid methodological contribution by integrating linear (PLS) and nonlinear (fsQCA) techniques, showing that both methodologies provide a better understanding of the problem and a more detailed awareness of the patterns of antecedent factors.

The study aims to analyze guest comments on the Uber Eats food delivery app (FDA) in the USA during the April–June 2020 COVID-19 pandemic lockdown period. Three aspects influencing customer satisfaction with the FDA were evaluated in this study: (1) performance on the app, (2) product quality and (3) service quality.

One thousand customer comments posted on the Uber Eats Google Play app from April 1 to June 30, 2020 were analyzed in this study. The text mining technique was applied to discover the hidden, but meaningful patterns from the unstructured text. Content analysis was applied to systematically analyze the text into organized categories and themes.

Among the three dimensions evaluated in this study, the most important dimension regarding customers' perceptions toward the FDA was the service quality dimension (40.02%), followed by the FDA's performance dimension (39.43%) and the product quality dimension (20.54%) was least important. Additionally, customers' perceptions towards the three dimensions were all unfavorable and there were more negative comments than the positive comments: FDAs (P/N = 0.728), product quality (P/N = 0.60) and service quality (P/N = 0.865).

Previous studies investigating FDAs assessed solely the performance of the app. However, customers' experience of a food delivery service is comprised of multiple components including the app, the restaurant and the delivery driver. To fill the void, this study evaluated a third-party app performance, product quality and service quality to capture the totality of customers' food delivery service experience.