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The purpose of this paper is to analyse key drivers of consumer acceptance of short messaging services (SMS) to participate in TV programmes.

The technology acceptance model (TAM) and the theory of planned behaviour (TPB) have been integrated for the determinants of the acceptance of mobile data services incorporating variables regarding consumer‐media interaction (perceived value and affinity). The model has been tested using structural equation modelling.

Perceived value, attitude and affinity towards television (TV) programmes determine SMS acceptance to participate in TV programmes in Spain. In contrast, subjective norm, perceived value and attitude are the key drivers of SMS acceptance in Colombia.

This paper enables mobile companies and TV channels to know what aspects to improve in order to promote SMS‐based TV programmes. Marketers should highlight in their communication strategies user friendliness, usefulness and perceived value of mobile data services. In Colombia, programme stars and presenters should encourage the use of mobile services to interact with TV. Spanish companies should offer reliable and entertaining programme contents to improve consumers' affinity.

Although TAM and TPB have successfully explained behavioural intentions, previous research posits that they should be extended to properly explain mobile services acceptance. This paper combines the influence of perceived value, affinity and the TAM and TPB models to develop an improved model for SMS acceptance. The study also integrates variables for two communication media (TV and mobile) and compares SMS acceptance to participate in TV programmes in two markets with different culture and mobile services penetration rates.

This study aims to investigate the external and internal stimuli, which affect the organismic experiences of the users and thereby influence their response in terms of behavioral intention toward the use of online doctor consultation platforms.

The study operationalized the stimulus–organism–response framework for the research model and surveyed 357 users in India who had experienced online doctor consultation platforms. The analysis has been done using the structural equation modeling approach.

The authors’ main results indicate the following key points. One, perceived usefulness, social influence, health anxiety, offline consultation habit and perceived technology usage risk are significant predictors of perceived value. In contrast, perceived ubiquity is identified to be an insignificant predictor of perceived value. Second, social influence and perceived technology usage risk have significant influence on trust. However, perceived usefulness is not a significant predictor of trust.

This study contributes to the theory by integrating technology-oriented factors with behavioral attributes for determining the behavioral intention of users toward the online doctor consultation platforms.

The managerial contributions of this study involve highlighting those technology-oriented and behavioral elements, which can be targeted to attract more users toward these platforms.

This is an original study that has looked beyond the role of technology-oriented factors in influencing the perceived value and trust elements while investigating the behavioral intention among the users toward the online doctor consultation platforms.

This study aims to investigate the determinants of cloud computing usage behavior by exploring trust, several trust antecedents, risk perceptions and the direct and mediating relationships of trust and perceived risk on the intention toward the behavior.

An online survey was administered to 1,228 cloud technology users. Using structural equation modeling, a proposed framework of 13 factors that have a direct and indirect influence on the usage behavior was introduced and tested.

It was observed that the intention toward the usage was influenced by trust and performance expectancy. Additionally, trust was affected by perceived accessibility and perceived technical support. The findings provided evidence on the diminished effect of perceived privacy and the insignificance of the mediating relationship of trust and perceived risk on the intention.

The study provides multiple implications for researchers by highlighting the concept of trust in this context and enriching their understanding of the relationship between risk and trust.

The research provides valuable guidelines for service providers toward introducing major concerns and the importance of dependable technical support.

This study contributes to the cloud computing literature by exploring the effect of perceived technical support on the usage and examining the relationship between trust and risk.

Grounded in the extended technology acceptance model and dual-process theory, the purpose of this paper is to develop a research model to examine the impact of company-dependent (e.g. recruitment web sites) and company-independent (e.g. social influences) information sources on job seeker perceptions of organizational attractiveness.

Utilizing data collected from 193 participants in Taiwan, various relationships in the research model are tested using the partial least squares approach.

The results indicated that job seeker beliefs (perceived usefulness and perceived ease of use) of recruitment web sites and social influence factors (informational and normative social influences) are important antecedents of organizational attractiveness. Furthermore, system quality affects perceived ease of use, while information quality and service quality influence both perceived ease of use and perceived usefulness of recruitment web sites.

Organizations need to put time and effort into ensuring that job seekers are satisfied with the information and service quality of recruitment web sites, since these two service-oriented web site features can enhance job seeker perceptions of organizational attractiveness. Additionally, perhaps the recruitment web sites can add links designed specifically for the social influencers such as parents, significant others, or teachers.

The empirical approach is novel to the recruitment literature, and this study demonstrates its viability in providing a more comprehensive examination of the role of recruitment-related information sources for organizational attractiveness perceptions. These contributions also have practical implications for organizations: understanding how various recruitment-related information sources are likely to affect job seeker attraction and application decisions may improve organizational recruitment effectiveness by building a well-designed recruitment web site and positive word of mouth from existing employees.

The purpose of this paper is to examine the physicians’ attitude toward branded generic drugs in prescribing those drugs in some selective medical conditions and to identify the factors that influence physicians’ behavior toward prescribing branded generic drugs in the said selective medical conditions.

The study was carried out across six major cities in eastern India with 301 physicians. The current study introduced some significant elements into the modified technology acceptance model (TAM) with title the extended tam for product usage (TETPU) to analyze the prescribing factors that influence physicians in five common yet serious medical conditions in India. Out of nine factors considered here, seven were selected from the previous literature studies of different product segments and two were proposed by the authors. Demographic factor was proposed as the confounding variable.

The results indicated that apart from the factors “perceived no need” and “physicians’ perception and need achievement” rest of the factors showed satisfactory to excellent results.

The current study findings may enable the pharmaceutical managers to revise or modify their current marketing communication and other brand-building strategies so as to achieve a superior performance that offers them a competitive advantage.

The paper fulfils a need for advancing the knowledge on the physician’s prescription influencing factors by introducing the newer aspects of the concept and offers a theoretical framework for the academia and practical framework for the managers who desire to implement the strategies to achieve competitive advantage.

This study intends to extend the unified theory of acceptance and use of technology (UTAUT) model by integrating perceived enjoyment as an intrinsic motivation so as to investigate factors influencing Chinese undergraduate English as a Foreign Language (EFL) students' intention to use ChatGPT for English learning.

A cross-sectional quantitative survey method research design was used in this study. Data were collected from 432 undergraduate students at two Chinese universities. The data analysis was carried out using SmartPLS 4, a computer software that employs the partial least squares structural equation modelling (PLS-SEM) technique. The analysis of the model was performed in two stages, including the assessment of reflective measurement model and structural model. The PLS predict was utilized to assess the model’s predicting power.

Findings showed that effort expectancy, performance expectancy, social influence and perceived enjoyment were positively related to Chinese undergraduate EFL learners' intention to use ChatGPT for English learning. Perceived enjoyment mediated the relationships between effort expectancy, performance expectancy, social influence and intention to use ChatGPT for English learning respectively.

Through incorporating the perceived enjoyment as an intrinsic motivation into the UTAUT model to explore factors that impact Chinese undergraduate EFL learners' intention to use ChatGPT for English learning, this study has extended the applicability of the UTAUT model and provide insights into factors affecting students' intention to utilize ChatGPT or other AI-based technologies for English learning.

In the wake of lockdown regulations and limited mobility during the COVID-19 pandemic, dining habits shifted towards usage of food delivery apps to avoid physical interaction. Nonetheless, it is unknown whether the COVID-19 pandemic had an influence on the adoption of food delivery apps. Therefore, this study examined factors influencing the adoption of food delivery apps during the COVID-19 pandemic, as well as the moderating effects of education and age.

Data were collected from 282 food delivery application users in South Africa using a web-based survey. Partial least square structural equation modelling analysis was used to test the hypotheses, while partial least squares multigroup analysis was used to examine the moderating effect of education level and age.

The results indicated that perceived ease of use has a significant impact on perceived usefulness and attitudes, perceived usefulness has an impact on attitudes and continuous intention, attitude influences continuous intention and social pressure and convenience influence attitudes. The perceived COVID-19 threat had no impact on attitudes, and education and age had no significant impact on any relationships. The findings are imperative for restaurants and mobile application designers, as they enable more effective strategic management planning.

This study is the first paper to empirically employ technology acceptance model to analyse the adoption of food delivery applications during the COVID-19 pandemic. Its uniqueness is in examining situational influence associated with the pandemic such as social pressure, perceived COVID-19 threat and convenience.

With the function to store individual’s data input, personal health record (PHR) enhanced the accessibility to personal health information. This study aims to assess the factors that impact the intention of Malaysian internet users to use PHR and create a modified technology acceptance model (TAM) for eHealth.

Multivariate statistical analysis was performed on a total of 216 responses using the partial least square technique based on the cross-sectional survey among Malaysian internet users.

Behavioral intention was positively associated to PHR. Subjective norm significantly influenced both attitude and intention to use, whereas trust and perceived usefulness significantly influenced attitude. There was no significant positive impact in the relationships between compatibility and perceived ease of use and intention to use; nevertheless, they positively influenced perceived usefulness. Attitude exhibited mediating influence between trust, perceived usefulness and subjective norm and intention to use. Nonetheless, perceived risk did not affect behavioral intention. Thus, PHR acceptance was well-justified by the modified TAM in evaluating eHealth acceptance.

The eHealth vendors can enhance their marketing and development strategies on related products.

Literatures and empirical evidence on eHealth are still scarce, especially in emerging markets. The role of attitude may not be well-researched in health-care context, therefore was included in this study’s modified TAM. Critical determinants, namely, trust and risk, were added to the model.

The aim of this study is to comprehend the behavioural intention of females' perception toward smart healthcare technology. The study also examines the moderation effect of social influences between perceived smart healthcare technology and perceived usefulness among female users.

To test the model, this study collected data from female respondents (n = 913) responses. The data were analyzed by structural equation modeling (SEM) using Smart-PLS 3.2. To complement the findings from structural equation modeling, the study also conducted a post-hoc test via experimental research design. The authors also applied a t-test and PROCESS macro analysis to re-confirm the relationship mentioned above.

The findings revealed that perceived ease of use significantly mediates the relationship between females' perceived smart healthcare technology and intention to use. The findings also show that social influence moderates between smart healthcare technology and the perceived usefulness relationship.

Social influence is one of the major issues while adopting smart healthcare technology because the respondents perceived that they are accustomed to the technologies related to smart health once their surroundings and social environment influence them.

The current study is a pioneer in the context of a developing country and unique in that it makes two contributions: it extends previous research on smart health technology adoption in the healthcare business by considering females, and it gives a broad knowledge of the female healthcare consumers from emerging nations which can be useful for developing technology-driven healthcare services strategies.

The purpose of this paper is to verify the differences of the influence of customer experience quality on brand equity, brand trustworthiness, perceived quality, perceived risk and purchase intention of franchise customers and non-franchise customers.

After developing two questionnaires, the authors collected 523 responses from Brazilian franchise users (Questionnaire 1) and 574 of non-franchise users (Questionnaire 2). The authors proceed to a confirmatory factor analysis, based on covariance (CB-SEM). In order to compare the results between franchises and non-franchises, the authors have performed a multi-group analysis with support of AMOS.

The results show that customer experience quality of the franchise customers tends to result in a better purchase intention, giving indications of better quality and brand trustworthiness when compared to non-franchises. This comparison shows indications of the competitive advantage of franchises over non-franchises, justifying the investments that market companies have been making in the development of the customer experience quality.

The research contributes to the understanding of the impact of the customer experience quality on brand equity, brand trustworthiness, perceived quality, perceived risk and purchase intention that directly affects the performance of the franchises, empirically investigating the customer experience quality in the context of franchises using the adapted EXQ scale. Complementarily, it is compared with non-franchises to observe the differences between them.