A stage-oriented model (SOM) for e-commerce adoption:a study of Saudi Arabian organisations

Purpose - The purpose of this paper is to construct a new e-commerce innovation and adoption model that takes into account various stages of e-commerce adoption (interactive, non-interactive and stabilised) and covers technological, organisational and environmental factors. This was tested using data collected from manufacturing and service companies in Saudi Arabia (SA) to reveal inhibitors and catalysts for e-commerce adoption. Design/methodology/approach - This study uses new data from surveys from 202 companies and then uses exploratory factor analysis and structural equation modelling for analyses. Findings - This study shows that the new stage-oriented model (SOM) is valid and can reveal specific detailed nuances of e-commerce adoption within a particular setting. Surprising results show that SA is not so very different to developed western countries in respect to e-commerce adoption. However there are some important differences which are discussed in detail. Research limitations/implications - A new SOM for e-commerce adoption is provided which may be used by other IS adoption researchers. Practical implications - Managers responsible for the adoption of e-commerce in SA, the Middle East and beyond can learn from these findings to speed up adoption rates and make e-commerce more effective. Social implications - This work may help spread e-commerce use throughout SA, the Middle East and to other developing nations. Originality/value - The results add to the extremely limited number of empirical studies that has been conducted to investigate e-commerce adoption in the context of Arabic countries

Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis

Consumer adoption of mobile payment (m-payment) solutions is low compared to the acceptance of traditional forms of payments. Motivated by this fact, we propose and test a “trust-theoretic model for consumer adoption of m-payment systems.” The model, grounded in literature on “technology adoption” and “trust,” not only theorizes the role of consumer trust in m-payment adoption, but also identifies the facilitators for consumer trust in m-payment systems. It proposes two broad dimensions of trust facilitators: “mobile service provider characteristics” and “mobile technology environment characteristics.” The model is empirically validated via a sample of potential adopters in Singapore. In contrast to other contexts, results suggest the overarching importance of “consumer trust in m-payment systems” as compared to other technology adoption factors. Further, differential importance of the theorized trust facilitators of “perceived reputation” and “perceived opportunism” of the mobile service provider, and “perceived environmental risk” and “perceived structural assurance” of the mobile technology, are also highlighted. A series of post-hoc analyses establish the robustness of the theorized configuration of constructs. Subsequent, sub-group analyses highlight the differential significance of trust facilitators for different user sub-groups. Implications for research and practice emerging out of this study are also discussed

Determinants of Users Intention to Adopt Mobile Fitness Applications: an Extended Technology Acceptance Model Approach

The present research was motivated by the recognition that the use of mobile fitness applications (MFA) is increasingly popular among sports and exercise participants in recent years. Using an extended Technology Acceptance Model (TAM) perspective, this study explored potential predictors of behavioral intention toward MFAs such as perceived ease of use, perceived usefulness, personalization, personal innovativeness in information technology (PIIT), perceived enjoyment, mobile application self-efficacy, involvement in sports and exercise participation, and social influences (interpersonal and external influences). A theoretical model was developed and tested against the empirical data collected from 385 collegiate students enrolled in physical activity classes at a large university in the United States. The result of descriptive statistics indicated that the samples are active sports and exercise participants with their weekly exercise and sports participation of 5.41 hours. A measurement model and structural equation model were tested using AMOS 22.0 and confirmed eight out of eleven hypothesized relationships. In particular, personalization and PIIT were found to have significant effects on perceived usefulness and perceived ease of use, which in turn, affected behavioral intention toward using MFAs. Interpersonal influence and involvement in sports and exercise participation were also found to have significant effects on intention whereas no significant effects of mobile application self-efficacy, perceived enjoyment, and external influence were observed. The analyses demonstrated that perceived usefulness was the most powerful determinants of behavioral intention followed by interpersonal influence in terms of the path coefficient values. The construct of PIIT and personalization accounted for 43.4% variances in perceived ease of use and 48.9% variances in perceived usefulness variance. All the constructs within the structural model except external influence, perceived enjoyment, and mobile application self-efficacy, collectively explained the 75.1 % variances in intention to use MFAs, suggesting that the examined model has a strong explanatory power regarding MFA users decision making process.\u2

An Empirical Study on User Satisfaction with Mobile Business Applications Use and Hedonism

Numerous recent information systems (IS), such as instant messaging and mobile applications, are first developed within an individual context and then widely used in both individual and organizational contexts. The present study examines a recent IS, mobile business (m-business) applications, used within organizations and reports the impact of the users’ pleasurable emotions or feelings on users’ satisfaction with IS. The result from the sample survey and an existential phenomenology indicates that hedonism is a significant determinant of satisfaction with m-business applications. By providing insight into how and why individuals are satisfied or dissatisfied with m-business applications in addition to what leads to this, the authors hope the findings of this study will assist researchers and practitioners in finding major barriers to the mobile business application use in order to design better applications for improved user satisfaction

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

Factors Influencing the purchase intention of Smart wearable technology

A Research Report Submitted to the Faculty of Commerce, Law and Management, Witwatersrand University School of Economics and Business Sciences, In partial fulfilment of the requirements of a Master Degree in Marketing, May 2017The consumer market of Smart wearable technology has shown a massive growth, therefore convincing that Smart wearable technology will be the next great thing, with market analysts forecasting its market to be worth over $30 billion by 2020. However this belief is mainly driven by major new technology manufacturers to produce Smart wearable devices that commoditise cellphones, tablets, and portable computers to influence consumer purchase intention. Consumers purchase intention is crucial for every business survival, therefore cannot be overemphasised. With the increasing number of Smart wearable technology brands on the electronics market, South African consumers have to make a choice on which brands to purchase. This study examines the factors influencing the purchase intention of Smart wearable technology in South Africa, with a special focus on product quality, design, price, and consumer attitude. From the academic side, the study makes a significant contribution by exploring the impact of product price and consumer attitude on consumer purchase intention. As a result, manufacturers in the wearable technology industry may apply this study information to develop proper strategies that will help influence more people to purchase wearable devices and ensure Smart wearable technology market growth. The study data were collected through the aid of a self-administered hardcopy questionnaire, which was circulated by the researcher in the University of the Witwatersrand Johannesburg. The research findings show that both consumer attitude and product price have a significant positive effect on the intention to purchase Smart wearable devices. Nevertheless, to be more precise, the effect of consumer’s attitude on purchase intention goes through the positive effect of a product design on consumer’s attitude. Both product quality and price are found to extend the effect of positivity of consumer’s attitude toward the product or brand, and the price tag of the product. These scenarios are fully supported in hypotheses one, two, and three. Although both quality and design positively influence product price, Product design is found to have an enlarging effect on product price. Generally, it can be stated that the design of a product successfully influence the price set for product.XL201

An Investigation of the Factors that Influence User Acceptance of Mobile information Systems in the Workplace

Mobile information systems (IS) such as field force automation and mobile office applications are rapidly being adopted by a large number of organizations. Despite its popularity and widespread adoption, the body of knowledge regarding user acceptance of mobile information systems in the workplace still is largely anecdotal. The purpose of this study was to develop and rigorously test a model of the factors that influence user acceptance of mobile information systems in the workplace. A thorough review of relevant literature in electronic business, mobile business, user acceptance of technology and user acceptance of mobile technology provided the basis for the development of the conceptual model that guided this research. The model hypothesized that temporal, spatial and structural characteristics of the portfolio of tasks performed by users of mobile information systems in the workplace (namely, temporal requirements of job, spatial dispersion of job, spatial dependence of job, job structuredness and job interdependence) would influence their perceived individual need for mobile information systems (PINMIS). It also suggested that the perceived individual need for mobile IS would influence the performance expectancy as well as intention to use mobile IS. In addition, the model posed that system portability would influence effort expectancy and intention to use mobile IS. In order to develop a research instrument, construct domains were specified and an initial set of items was generated. This was followed by an extensive purification process which consisted of card sorting and expert review rounds, survey pre-tests as well as a pilot study with 234 respondents from a large telecommunications company in New Zealand. The results obtained in this stage helped to refine the measurements and provided the foundations for the main study. The main study was based on a survey with 309 respondents from a wide range of organizations in New Zealand. Using Partial-Least-Squares (PLS) the data collected in the main study was used to test the model. The model was successfully validated and statistically significant evidence was provided that temporal requirements of job, spatial dispersion of job, spatial freedom of job and job interdependence positively influenced PINMIS. On the other hand, job structuredness did not significantly influence PINMIS. It was also found that PINMIS significantly influences performance expectancy and that system portability has a positive effect over effort expectancy as well as intentions to use mobile IS

Technology Acceptance Factors Affecting Adoption of Wireless Data Technology

The study of acceptance and use of technology is traditionally based on models designed to identify and test the relationships forged between the user and the technology in question. Models designed to study the relationship of user and technology acceptance tend to integrate experiential criteria, such as the attitude of the user towards technology, as well as criteria found within the environment. As wireless communications become more prevalent, and the forms of wireless technology evolve, understanding the process of acceptance and usage will be of importance as companies compete to offer the most user friendly and sophisticated wireless devices. The relationship between diffusion of innovation and wireless data technology acceptance is an important issue for any innovative organization. A critical analysis of theoretical and empirical literature is used to explore those factors influencing wireless data technology adoption and will identify areas of future scholarly inquiry. Existing technology acceptance theories provide the framework to research this topic. Models examined in this study include the Technology Acceptance Model, Unified Theory of Acceptance, Use of Technology, Theory of Reasoned Action, and Diffusion of Innovation. An in-depth study of these models demonstrates that there are flaws both within the underlying rationale used to govern the models and the applications of these models within the study process. These gaps will also be examined. Recommendations for future areas of study will be suggested. These will be based on the need for modeling efforts to take into account the context in which the modern generation of technology user is situated

An Investigation on Behavioral Intention toward Usage of Personal Health Assistant Service and Technology Among Patients in Bangkok, Thailand

Purpose: The study aims to investigate the determinants of behavioral intention toward the usage behavior of personal health assistant services and technology for hypertension patients of a private hospital in Bangkok. Eight variables conform to the conceptual framework, including perceived usefulness, perceived ease of use, attitude toward using, customer satisfaction, social influencing, facilitating condition, behavioral intention, and usage behavior. Research design, data, and methodology: The data were collected from 500 participants. The sampling techniques used were purposive, stratified random, and convenience samplings. Before collecting the data, the index of item objective congruence (IOC) and Cronbach’s Alpha coefficient value (pilot testing) of 50 samples were applied. The main statistical approaches involve confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: Perceived usefulness has a significant influence on attitude toward use. Attitude toward use has a significant influence on customer satisfaction and behavioral intention. Social influence and facilitating conditions significantly influence behavioral intention. In addition, behavioral intention significantly influences use behavior. On the other hand, perceived ease of use does not significantly influence attitudes toward using personal healthcare assistant services. Conclusions: Healthcare service providers can enhance the purchase intention of digital healthcare technology, which could remarkably benefit patients by tracking and monitoring their health conditions

The Role of Disgust in Eating Disorders

Disgust, a basic emotional response, which influences approach/avoidance behaviors, has been studied in various psychological disorders, including anxiety, depression, and eating disorders. The current study employed exploratory correlations and hierarchical linear regressions (controlling for race, anxiety, and depression) in order to be able to observe the relationships among three traditional domains of disgust (i.e., core, animal-reminder, contamination) and eating disordered behaviors. Results revealed significant correlations between core disgust and dieting behaviors, in addition to contamination disgust and bulimia and symptoms of food preoccupation as well as behaviors concerning self-control around food-related stimuli (i.e., oral control). More importantly, disgust sensitivity was significant in predicting oral control and significantly accounted for 4.7% of the unique variance in predicting symptoms of bulimia and preoccupation with food. These results reveal the significant role of contamination disgust in the development and maintenance of eating pathology above and beyond known predictors of maladaptive eating and other domains of disgust. Implications of the current findings as well as future directions are discussed