Viewing versus Experiencing in Adopting Somatosensory Technology for Smart Applications

Emerging somatosensory technology offers unprecedented opportunities for researchers and industrial practitioners to design a touchless smart home system. However, existing touchless smart home systems often fail to attract a satisfying level of acceptance among home owners. The experience users have with the touchless system is key to making somatosensory technology a pervasive computing home application, yet little research has been conducted to assess the influence of direct and indirect experience on user’s behavioral intention to use somatosensory technology. To address this research gap, this paper set up an experimental design to investigate the influence of direct and indirect experience in user technology acceptance. Using an in-house developed touchless system, two experimental studies (i.e., video observation versus product trial) were conducted with sixty-two participants to investigate whether the user experience has an impact on the adoption decision. Our findings indicate that direct experience has an impact on a user’s acceptance of somatosensory technology. We found a significant difference in the relationships between perceived complexity and usage intentions. Perceived complexity was a significant predictor of an individual’s behavioral intention to use the touchless system after video observation, while its relationship to usage intention was insignificant after the user had direct experience with touchless system. Our study reveals an important implication for somatosensory technology marketers, in which product trial (direct experience) engenders more reliable inferences than does exposure to video demonstration (indirect experience). Based on this, companies should devise marketing programme involving direct experience (e.g., product trial and showroom visit) to promote new somatosensory-enabled smart home systems. The results of the study also demonstrate that user experience in research design may influence the results of the Technology Acceptance Model (TAM) studies. Available at: https://aisel.aisnet.org/pajais/vol6/iss3/2

Impact of perceived value on intention to use voice assistants: The moderating effects of personal innovativeness and experience

Voice assistants (VAs), such as Alexa, Siri, and Google Assistant, are instruments increasingly used by consumers to perform daily tasks. The objectives of the present study are to examine the antecedents of consumers' continuance intention to use VAs and the moderating effects of personal innovativeness and experience. Based on behavioral reasoning theory, a research model is proposed to provide insights into the drivers of continuance intention to use. Two empirical studies, based on data collected via online surveys, were conducted. The model was analyzed through partial least squares structural equation modeling. The findings of the studies showed that emotional value and performance expectancy were key antecedents of continuance intention to use, which in turn positively influenced actual use and word‐of‐mouth intention. In contrast, the quality value was a significant antecedent of continuance intention to use in only one of the two studies, and the influence of price value, social value, effort expectancy, and privacy risk was not found to be significant. However, the second study showed that several of these relationships are moderated by the consumer's experience and personal innovativeness; specifically, less innovative users are sensitive to quality value, and experienced users are sensitive to social valueAndalusian Research, Development and Innovation Plan (PAIDI 2020)Grant: Group SEJ‐567 (Spain)Universidad de Málaga/CBU

An overview of patient acceptance of Health Information Technology in developing countries: a review and conceptual model

The potential to improve the quality, efficiency, outcomes, patient safety and reduce cost of healthcare by Health Information Technology (HIT) has been established by researchers. But unfortunately HIT systems are not properly utilized or are not widely available. This problem is even more glaring in developing countries. This article presents a review of some available HIT systems in order to assess the level of their presence and the technology used in developing them. Works related to acceptance of HIT systems were also reviewed so as to study the gaps in this area and propose a solution in order to fill the gaps identified. The problems discovered from this review include lack of availability of these systems especially in developing countries, low rate of HIT systems acceptance and insufficient works on patient acceptance of HIT systems. Studying the factors that affect the acceptance of HIT systems by patients and considering the factors while developing the systems will play a significant role in getting over the aforementioned limitations. As Technology Acceptance Model (TAM) is one of the most popular models for studying users\u27 perception and acceptance of Information System (IS)/Information Technology (IT), we proposed a conceptual model of HIT acceptance in developing countries based on TAM

Developing an educational framework for using mobile learning during the era of COVID-19

This paper focuses on the impact of fear emotion upon technology adoption by educators and students during Covid-19 pandemic. Mobile learning (m-learning) has been applied as the educational social platform within higher education institutes, public as well as private. The research hypotheses were associated with the Covid-19 influence on m-learning adoption with the rise of the coronavirus increasing types of fear. Such fears include fear caused by the education failure, family lockdown, and loss of social relationships. Teachers and students are mostly fearful of these aspects of the situation. An integrated model was established within the research, using theoretical models; the Planned Behavior theory, the Technology Acceptance Model, and the Expectation-Confirmation Model. The proposed integrated model (using PLS-SEM software) was analyzed using an online survey data, with 420 respondents from Zayed University, UAE. The findings indicated that attitude was the best predictor for using the m-learning system, followed by continuous intention, expectation confirmation, perceived usefulness, ease-of-use, perceived fear, behavioral control, and satisfaction. According to the research, during the coronavirus pandemic, if the m-learning system is adopted for educational reasons, the learning and teaching outcome proves quite promising. Yet there is a fear of the family being stressed, or of loss of friends, and also a fear of the results of future schooling. It is therefore necessary to assess the students efficiently during this pandemic so that the situation can be managed emotionally

User acceptance and adoption of smart homes: A decade long systematic literature review

This survey aims to provide a coherent and bibliometric overview of the theories and constructs employed in smart homes acceptance and adoption literature. To achieve the study aims, we con-ducted a systematic search for every article related to the SH concept, services and applications, user acceptance and adoption, and integrated IoT home appliances and devices, in 10 major library databases, namely, IEEE Digital Library, ACM Digital Library, Association for Information Systems (AIS), Elsevier, Emerald, Taylor and Francis, Wiley InterScience, Springer, Inderscience, and Hindawi. These databases contain literature focusing on smart home adoption using IoT tech-nology. 40 research articles of journal and peer-reviewed conferences were found relating to our research objective, presented and distributed chronologically, by publisher, country, theory and model, key construct, and with full bibliometrics for each article. Additionally, this survey includes a word cloud and a taxonomy of the entire factors used to understand users’ acceptance and adoption of smart homes in different contexts and applications. This study has many ad-vantages in covering the current research gap in the literature and also the researchers identify theoretical and practical research implications, research limitations, and recommendations for improving the acceptance and usage of smart homes literature

AI-based Conversational Agents for Customer Service – A Study of Customer Service Representative’ Perceptions Using TAM 2

This study aimed to identify the various factors that may influence customer service representatives’ perceptions of artificial intelligence (AI)-based conversational agents (CAs) for customer service. By analyzing 180 publications, a conceptual research model is developed for identifying the factors that may influence customer service representatives’ perceptions of AI-based CAs for customer service. The underlying conceptual research model comprises ten factors. The study is grounded in the application of the Technology Acceptance Model 2 (TAM 2) approach. The research model is empirically evaluated with survey data from 128 participants. Our results show that the direct positive effect of subjective norm on customer service representatives’ perception of using AIbased CAs in customer service decreases with increasing experience. Moreover, our results reveal new insights regarding trust. The results of this study provide an overview of the predominant characteristics of the influencing factors of customer service representatives’ perceptions of AI-based CAs for customer service

Research on Continuous Use of B2B Platform in Chinese Intelligent Engineering Companies Based on the Theory of Resource Complementary

What factors affect the continuous use of B2B platforms by intelligent engineering companies is an important issue. Based on the theory of resource complementarity, a model of influencing factors for intelligent engineering companies to continue using the B2B platform is constructed, and four influencing factors including the complementary resources given by the platform, the complementary resources given by the company, interaction quality, and exploration and exploitation capability are analyzed. Using SmartPLS 3.0 to analyze 217 survey data, the results show that the complementary resources given by the platform and companies have positive impact on the interaction quality, and the complementary resources given by the platform have positive effect on the exploration and exploitation capabilities. Interaction quality has positive impact on the company’s continuous use intention of the B2B platform. The complementary resources given by the company have no positive impact on the exploration and exploitation capabilities, and the exploration and exploitation capabilities have no positive impact on the company’s continuous use intention of the B2B platform. Finally, some suggestions are proposed to increase the company’s continuous use intention of B2B platform

Factors Determining the Purchase Intention of Bank Services in the Republic of Yemen

The issue of motivating consumers to use the banking system was solved in developed countries and in some Middle Eastern countries. However, it is still unpredictable in Yemen where the majority of the people do not use banking services to facilitate their financial needs. Therefore, it shapes a real problem and negatively impacted the Yemeni economy. This research project aimed to provide better awareness of the variables that might affect people to use the Yemeni banking system by applying the theory of reasoned action. This study is cross-sectional, 850 questionnaires were distributed to part time university students. Multiple regression analysis was conducted to determine the contribution of independent variables in predicting behavioral intention, the dependent variable. Moreover, hierarchical regressions were used to test the effect of trust as a moderator variable. Eight variables of attitude and subjective norm were significantly and positively influence university student's behavioral intention to use banking services namely, attitude toward bank usage, attitude towards banking services, attitude toward service quality, attitude towards banking legal framework, social influence, recommendation by others on bank services, and bank advertisement. On the other hand, cultural belief was significant but in the negative direction. As well as, student’s trust had a statistically moderating effect with only three out of eight variables on the behavioral intention namely attitude toward bank usage, recommendation by others on bank services, cultural belief. The study had a significant contribution to the academic understanding of consumer's behavioral intention in Yemen, which might guide bankers and policy makers to use the right strategy in order to attract more consumers to use the banking system

Trust and Distrust in Big Data Recommendation Agents

Big data technology allows for managing data from a variety of sources, in large amounts, and at a higher velocity than before, impacting several traditional systems, including recommendation agents. Along with these improvements, there are concerns about trust and distrust in RA recommendations. Much prior work on trust has been done in IS, but only a few have examined trust and distrust in the context of big data and analytics. In this vein, the purpose of this study is to study the eight antecedents of trust and distrust in recommendation agents’ cues in the context of the Big Data ecosystem using an experiment. Our study contributes to the literature by integrating big data and recommendation agent IT artifacts, expanding trust and distrust theory in the context of a big data ecosystem, and incorporating the constructs of algorithm innovativeness and process transparency

Gamification in Mobile Payment: An Empirical Investigation

Mobile payment has evolved from a basic payment method into a community that provides a variety of value-added services. These services are meant to encourage continuous use by enhancing the value and experience of the fundamental payment services. This paper investigates the effects of gamification on the sustained usage of mobile payment. Using a sample of 323 Alipay Ant Forest users collected through online questionnaires, we find that gamification has a strong and direct impact on the continuous use of mobile payment. Interestingly, despite the fact that gamification also positively influences flow experience, flow experience derived from gamification has no significant impact on continuous use. Despite the fact that gamification provides an enjoyable and immersive experience and raises users\u27 awareness of the mobile payment app, it appears that the key utilitarian value of the app is still a payment tool with a focus on its convenience, security and versatility