Innovation Attributes of F2F Computer Assisted Cooperative Learning in Teaching Reading Skills

This study aimed at investigating the innovation attributes of face-to-face Computer Assisted Cooperative Learning (CACL). It employed a mixed method design as the data were collected through a survey and semi-structured interviews. The findings showed that face to face CACL has a high degree of adoption in higher education institutes to teach EFL/ESL learners. Also, the regression analysis showed that the five factors are strong predictors of innovation adoption with complexity has the highest significance, followed by compatibility, relative advantage, observability and trialability respectively. The study found that accessibility is an emerging innovation attribute which increases the adoption of any innovation practice. The paper concluded that the human element of face-to-face cooperative learning increases the adoption of CACL, and that relative advantage has influence on the other innovation attributes. The study recommends using face-to-face CACL in teaching EFL/ESL learners, and using accessibility as an innovation attribute.

Innovation Attributes of F2F Computer-Assisted Cooperative Learning in Teaching Reading Skills

This study aimed at investigating the innovation attributes of face-to-face Computer Assisted Cooperative Learning (CACL). It employed a mixed method design as the data were collected through a survey and semi-structured interviews. The findings showed that face to face CACL has a high degree of adoption in higher education institutes to teach EFL/ESL learners. Also, the regression analysis showed that the five factors are strong predictors of innovation adoption with complexity has the highest significance, followed by compatibility, relative advantage, observability and trialability respectively. The study found that accessibility is an emerging innovation attribute which increases the adoption of any innovation practice. The paper concluded that the human element of face-to-face cooperative learning increases the adoption of CACL, and that relative advantage has influence on the other innovation attributes. The study recommends using face-to-face CACL in teaching EFL/ESL learners, and using accessibility as an innovation attribute.

Understanding the Experience of Geriatric Care Professionals in Using Telemedicine to Care for Older Patients in Response to the COVID-19 Pandemic: Qualitative Study (Preprint)

BACKGROUND Geriatric care professionals were forced to rapidly adopt the use of telemedicine technologies to ensure the continuity of care for their older patients in response to the COVID-19 pandemic. However, there is little current literature that describes how telemedicine technologies can best be employed to meet the needs of geriatric care professionals in providing care to frail older patients and their caregivers, and families. OBJECTIVE This study aimed to identify the benefits and challenges geriatric care professionals face when using telemedicine technologies with frail older patients, their caregivers, and families, and how to maximize the benefits of this method of providing care. METHODS We conducted a mixed methods study that recruited geriatric care professionals to complete an online survey regarding their personal demographics and experiences with using telemedicine and participate in a semi-structured interview. Interview responses were analyzed using the Consolidated Framework for Implementation Research (CFIR). RESULTS We obtained quantitative and qualitative data from 30 practicing geriatric care professionals (22 geriatricians, 5 geriatric psychiatrists, and 3 geriatric specialist nurses) recruited from across the Greater Toronto Area. Analysis of interview data identified 5 CFIR contextual barriers (Complexity, Design quality and packaging, Patient needs and resources, Readiness for implementation, and Culture) and 13 CFIR contextual facilitators (Relative Advantage, Adaptability, Tension for Change, Available Resources, Access to Knowledge, Network and Communications, Compatibility, Knowledge and Beliefs, Self-Efficacy, Champions, External Agents, Executing, and Reflecting and Evaluating). The CFIR concept of External Policy and Incentives was found to be a neutral construct. CONCLUSIONS This is the first known study to use the CFIR to develop a comprehensive narrative to characterize the experiences of geriatric care professionals using telemedicine technologies in providing care. Overall, telemedicine can significantly enable most of the geriatric care that is traditionally provided in person, but is less useful in providing specific aspects of geriatric care to frail older patients and their caregivers, and families.

Searching for New Technology Acceptance Model under Social Context: Analyzing the Determinants of Acceptance of Intelligent Information Technology in Digital Transformation and Implications for the Requisites of Digital Sustainability

Intelligent information technology (IIT) based on AI and intelligent network communication technology is rapidly changing the social structure and the personal lives. However, IIT acceptancefrom various perspectives still requires extensive research. The research question in this paper examines how five factors—psychological, technological, resource, risk perception, and value factors—influence IIT acceptance. Based on an analysis of survey data, it was first found that the acceptance rate of IIT itself was generally very high. Second, in terms of IIT acceptance, among twenty-five predictors, voluntariness (+), positive image of technology (+), performance expectancy (+), relative advantage (+), radical innovation (+), and experience of use (+) were found to have significant effects on the IIT acceptance. Third, in addition to technological factors, psychological factors and risk perception factors also played an important role in individuals’ decisions regarding IIT acceptance.

What Factors Predict the Adoption of Type 2 Diabetes Patients to Wearable Activity Trackers—Application of Diffusion of Innovation Theory

Background: Globally, diabetes has brought an enormous burden to public health resources, and the situation of disease burden caused by diabetes in China is especially severe. China is currently facing the dual threat of aging and diabetes, and wearable activity trackers could promote elderly diabetic patients' physical activity levels and help them to manage blood glucose control. Therefore, examining the influencing factors of elderly patients' adoption intention is critical as wearing adoption determines actual wearing behaviors.Objective: This study aims to explore the predicting factors of Chinese elderly type 2 diabetic patients' adoption intention to wearable activity trackers and their actual wearing behavior, using diffusion of innovation theory as the theoretical framework. We hope to provide insights into future interventions using wearable activity trackers as tools to improve the outcome of patients.Methods: Wearable activity trackers were freely distributed to type 2 diabetic patients in Beijing, China. A questionnaire survey was conducted to examine predicting factors of adoption intention after a week's try-on. Actual wearing behavior for 3-month was obtained from the exclusive cloud. Data were analyzed with structural equation modeling.Results: A total of 725 patients completed the questionnaire. Patients had a mean age of 60.3 ± 7.6 years old and the educational level was generally lower. The results indicated that observability was the primary influencing factor of patients' adoption intention (β = 0.775, P < 0.001). Relative advantage (β = 0.182, P = 0.014) and perceived social image (β = 0.080, P = 0.039) also had a positive influence while perceived risk (β = −0.148, P < 0.001) exerted a negative influence. In addition, results showed that the more intention led to the better actual wearing behavior (β = 0.127, P = 0.003). Observability (β = 0.103, P = 0.005), perceived ease (β = 0.085, P = 0.004), and relative advantage (β = 0.041, P = 0.009) also indirectly influenced the wearing behavior.Conclusion: The intentions of Chinese elderly type 2 diabetic patients to wearable activity trackers directly influenced the actual wearing behavior. In addition, their adoption intention to wearable activity trackers was mainly influenced by observability, perceived ease to use, relative advantage, perceived risk, and social image.

Big Data Adoption

This study inspects how big data is comprehended by IT experts and the difficulties that they have in respect to the reception of big data examination. The study also looks into the contributing factors of big data adoption within the manufacturing and services sectors in India. The data were analyzed using exploratory and confirmatory factor analyses, and relevant hypotheses were derived and tested by SEM analysis. The findings revealed that relative advantage, compatibility, complexity, organizational size, top management support, competitive pressure, vendor support, data management, and data privacy are the factors that are important for both industries. Through a comparison of the industries, statistically significant differences between the service and the manufacturing sectors were found; in other words, it has been noted that the relative importance of all factors for big data adoption differs between the industries, with the only exception being its complexity – it was found to be insignificant for the manufacturing sector.

An Artificial Neural Network Examination Of The Intention To Implement Blockchain In The Supply Chains Of SMEs In Tonga

The research intends to examine the impacts of the technology, organization, and environmental factors on the implementation of blockchain in the supply chains of SMEs in the Kingdom of Tonga. These include regulatory support, competitive pressure, cost, upper management support, complexity, and relative advantage. The research uses SEM-PLS to test the hypotheses and the Artificial Neural Network method to analyze and classify survey data from 201 SMEs. Findings show that relative advantage, cost, complexity, and competitive pressure significantly affect implementing blockchain in the supply chains. As SMEs frequently have limited capital to invest in technology but meets the same obligations to streamline business operations to optimize profits, blockchain provides a feasible choice for the firms’ sustainability with its characteristics of security, transparency, and immutability that are prospective to develop SMEs’ performance. Thus, the paper provides novel insight regarding the determinants of SMEs' intention to implement blockchain in their supply chains.

An Empirical Study of Consumer Attitude toward Adoption of Online Food Ordering App

The purpose of this paper is to identify the factors influencing the adoption of online food ordering app and the degree of influence of each factor on consumer attitude with moderating effect of technical barriers. This research proposed a conceptual model aimed to test the attitude towards online food ordering app. Relationships among constructs were tested on the basis of 514 surveys collected in India and analyzed with the structural equation modeling approach of partial least squares path modeling. Findings established the positive relationship between effort expectancy (EF), performance expectancy (PE), perceived social norms (PSN), perceived complexity (PCL), perceived compatibility (PCT), perceived relative advantage (PRA), perceived risk (PR) and Attitude towards online food ordering app (ATT). In addition, TB plays a significant moderating role in the relation between PE, PCL, PCT, PR, and ATT. However, no significant moderation effect was found in the relation between EF, PSN, PRA, and ATT.