DETERMINANTS OF THE INDIVIDUALS' INTENTION TO USE THE IOT SMART HOME TECHNOLOGY IN QATAR

This study develops a research model for the main determinants that affect the potential customers’ intention to use the Internet of Things (IoT) - Smart Home Technology in Qatar. This study proposes and validates a research model that can explain the behavioral intention of individuals and emphasize the factors that have the strongest impact. Our theoretical model extends the unified theory of acceptance and use of technology 2 [UTAUT2] by including the factors of Mobility, Trust, Perceived Security and the espoused national cultural values of Collectivism, Masculinity and Uncertainty Avoidance. Regression analysis was used to validate the proposed research model and corresponding hypotheses on data collected using a convenience sample of random individuals from Qatar. Findings: performance expectancy, mobility, price value, trust in smart home technology and its providers have a significant positive impact on the potential customers’ behavioral intention to use the smart home technology. The cultural dimensions moderate some of the hypothesized relationships in the proposed model. Perceived security and social influence are strongly related to the perceived trust in smart home technology providers. Effort expectancy and hedonic motivation positively related to the performance expectancy. Originality/value: This study is the first attempt to study the acceptance of the smart home technology in Qatar

Why individuals switch to using mobile payment: A migration-theoretic, empirical study

With mobile payment, individuals can buy goods and services through the use of a mobile device and wireless technology. Still, although the usage of mobile payment provides several advantages, such as a more convenient and faster paying-process, it is hardly used. Individuals rather stick with their current payment method, such as cash, EC card or credit card. In this study, we therefore try to find out, what factors would bring individuals to switch from their current payment method to mobile payment. We rely on the pull-push-mooring framework to depict the migration process from the current payment method to mobile payment. The results prove that dissatisfaction with the current payment method has a rather low influence on the intention to switch to mobile payment in comparison with other factors such as perceived usefulness or alternative attractiveness. Furthermore, switching costs have a negative influence on the intention to switch to mobile payment

Point-Of-Sales Systems in Food and Beverage Industry: Efficient Technology and Its User Acceptance

The objective of the study was to review the factors that influence the acceptance of the points of sales (POS) technology, as the main systems used in the restaurants environment. It is critical that those POS perceived as proper use for the business growth and development. A conceptual framework is explained by the Technology Acceptance Model (TAM), were reviewed 28 research articles associated with the acceptance of the points of sales (POS) technology. The literature evidence found indicates the acceptance of POS systems in the F&B industry, including those factors which may affect its implementation and use. Attitude toward POS is affected by individual differences, times, training and company supports. Perceived usefulness of the POS is influenced by information quality, benefits information. The perceived ease of use of the POS is influence by enjoyment. Therefore, that strategy implementation, employee learning, ethical decisions, positive employeemanagement relationship, and personalization level are factors that support technology acceptance

Repurchase intention model for mobile shopping application users in Malaysia

Mobile shopping applications have become a popular channel to reach the omnipresent consumer of today. However, the market space has become highly competitive and therefore, cultivating repurchase behaviour has become pivotal to retain market share and boost sustainability. While the literature regarding initial purchase via a mobile shopping application is well developed, knowledge on how to foster repurchase behaviour in this context is still scarce. The purpose of this research was to explore the consumers’ continuous behavioural intention towards using mobile shopping apps. More specifically, the study investigated to what extent does consumers’ continuance behavioural intention to purchase using mobile shopping applications is shaped by various factors. This study employed the Stimulus- Organism-Response (S-O-R) model as the theoretical framework as well as Delone and McLean’s Information System success model, Technology Acceptance Model (TAM), Expectation-Confirmation Model (ECM), Flow theory, and mobile featured factors to develop a research model based on a comprehensive literature review. Accordingly, factors of system quality, service quality, information quality, perceived usefulness, perceived ease of use, flow experience, perceived ubiquity, interactivity, perceived enjoyment, visual appeal (as Stimulus factors), satisfaction (as Organism factor), and repurchase intention and WOM intention (as Response factors) were included in the research model. In addition, flow experience was considered as the moderator factor on the relationships towards Response factors. In an attempt to examine the relationships between the dependent and independent variables, this study adopted a quantitative, cross-sectional approach, consistent with the positivist paradigm. A structured survey questionnaire was administered to a total of 240 consumers who had previously shopped via a mobile shopping application, using a non-probability purposive sampling approach. Partial least squares structural equation modelling (PLS-SEM) was used to test cause-effect relationships in the model. The results indicated that consumers’ satisfaction with mobile app was significantly explained by the factors of system quality, service quality, visual appeal, perceived ubiquity, perceived ease of use, perceived usefulness, and flow experience. Satisfaction significantly explained consumers repurchase intention and word-ofmouth (WOM) intention. Finally, the moderation analysis revealed that flow experience significantly moderated the relationships towards repurchase intention and WOM intention. This research provides a better insight for future researchers and organizations on continuous usage intention of mobile shopping apps

Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study

Despite mobile device usage being at an all-time high, their utilisation for mobile shopping activities is inherently low. The study, first, identifies prominent areas of academic concern and examines areas requiring further insight. A theoretical model is developed to examine multi-faceted risk and trust effects on consumer adoption intention. Empirical results demonstrate several trust and risk perceptions as having varying effects on consumers’ m-shopping intention. Inclusion of age and gender reveals discrepancies among positive and negative influencers of intention. Results contribute to theoretical and practical understandings surrounding deterrents of intention and potential risk-reduction mechanisms for future considerations

Continuance intention to use electronic collection system in Nigerian federal hospitals

Computerized information systems are being used by public sector organizations in the world over. However, studies have shown that there is under-utilization of such systems in the developing countries. Even though there are considerable numbers of studies that were conducted in finding out the influencing factors that lead to voluntary use of technology for personal use, still there are limited empirical studies that investigate the factors that influence continuance use intention of electronic information systems in mandatory system use environments in Nigeria. Thus, the purpose of this study is to empirically investigate the influence of perceived usefulness, perceived ease of use, perceived information quality and perceived enjoyment on the continuance use intention of electronic collection system in Nigerian federal hospitals. It also examines the moderating effect of computer selfefficacy on the relationship between perceived usefulness and continuance intention; and perceived ease of use and continuance intention. The study employs a crosssectional survey and uses cluster sampling technique to collect data from 354 electronic collection system users with the help of self-administered questionnaire. Out of the 354 questionnaires distributed, 274 were returned, but only 231 responses representing 65% response rate were valid for analysis. The findings of the study revealed that perceived usefulness, perceived ease of use and perceived information quality positively and significantly influence continuance intention, whereas perceived enjoyment does not. In addition, the result shows that computer selfefficacy does not moderate the relationship between perceived usefulness and continuance intention; and perceived ease of use and continuance intention. Though the study had contributed in extending the Technology Acceptance Model to explain the behavior of public sector employees toward electronic system use in the workplace, it is only applicable to federal government hospitals alone. Therefore, further studies could be conducted to include other hospitals at both state and local government levels in Nigeria

Siri, Alexa, and Other Digital Assistants: A Study of Customer Satisfaction With Artificial Intelligence Applications

Siri, Alexa, and other digital assistants are rapidly becoming embraced by consumers and the adoption is projected to grow from 390 million to 1.8 billion for the period of 2015 to 2021. Digital assistants are offering benefits to consumers while also proving to be a disruptive technology for businesses. Coupling digital assistants with other artificial intelligence technologies offers the potential to transform companies by creating more efficient business processes, automating complex tasks, and improving the customer service experience. Businesses have begun integrating this technology into their operations with the expectation of achieving significant productivity gains. Customer satisfaction has been discussed extensively throughout marketing literature. Yet, there is little empirical evidence of customer satisfaction with digital assistants. This study used PLS-SEM to analyze 244 survey responses obtained from a cross-section of consumers. Using the Expectations Confirmation Theory as its foundation, the study identified that expectations and confirmation of expectations substantially explained customer satisfaction with digital assistants. For practice, the study provides guidance which allows firms to prioritize marketing and managerial activities. Firms should focus priorities on assisting digital assistant users to become aware of new skill capabilities while also providing relevant examples of how these skills can be used to meet user needs. In addition, priorities should be focused on assisting users with understanding how the average person can use digital assistants to perform more than just mundane tasks with relative ease. These priorities were identified as areas of high importance for customer satisfaction and require performance improvements

Motivational drivers for mobile shopping adoption: an empirical study of the Chinese Generation Y consumers

One of the most prominent trends of the 21st century in China is the emergence of e-commerce, especially mobile commerce, which has changed people’s lives, notably in the way they conduct shopping. This study investigates mobile shopping behaviour in China, focusing on Generation Y, for the following two reasons:（ 1） Research on consumers’ behavioural intention in adopting mobile shopping has been carried out previously, yet the research into this trend in China is limited and research with specific focus on the Chinese Generation Y is even more so. （ 2） Since Chinese Generation-Y has played a dominant role and made a significant impact on the online retailing market, the researcher believes it is essential to conduct Chinese Generation-Y-focused research to develop a deeper understanding of this special group’s consumption behaviour so that the online and offline marketers and retailers will be able to develop effective strategies in terms of customer positioning and mobile shopping platform design. Following an extensive literature review, the research develops a new conceptual framework which extends the existing framework of the Unified Theory of Acceptance and use of Technology, also known as the UTAUT (Venkatesh, et al.,2003) and Six Dimensions of Hedonic Shopping Motivation (Arnold and Reynold, 2003). This novel integration has not been attempted in previous research. The research was also designed to employ a combination of quantitative and qualitative methods for a robust understanding of mobile commerce acceptance in Chinese Generation-Y. Data was collected via an online questionnaire survey with a sample of 473 and an additional six interviews. Various statistical techniques in Statistical Package for Social Science (SPSS) are used for quantitative analysis and the thematic method is used for qualitative analysis. The research findings confirm that the key factors affecting the behavioural intention of mobile shopping are as follows: performance expectancy, effort expectancy, facilitating conditions, perceived gratification shopping, perceived role shopping, and perceived value shopping. Other factors found to have an insignificant impact include social influence, perceived individual innovativeness, perceived adventure shopping, perceived social shopping, and perceived idea shopping. These findings help move existing theory forward, and consideration of using this integrated model can help scholars examine all the potential factors that might influence the reasons behind mobile shopping in China. In addition, this research framework further provides three practical implications for mobile shopping platform providers to consider: customer experience, product attributes, and customer positioning