An integrated model for using social media applications in non-profit organizations

The internal organizational performance influence factors study-an empirical test

With the changes of social and economic development, more and more people pay attention to the development of non-profit organizations, and the performance research of non-profit organizations has become the focus of research. As the internal governance organization of non-profit organization, the board of directors and the management organization are related internal factors that will affect the organizational performance of non-profit organization. Based on the data of Form 990 of the US Internal Revenue Service, this paper conducted an empirical study on the relationship between internal governance and organizational performance of non-profit organizations, and studied the moderating effects of board size, average weekly working hours, number of managers, members' work involvement and compensation incentives on internal governance and organizational performance of non-profit organizations. The results show that the number of managers in non-profit organizations is negatively correlated with organizational performance, the average weekly working hours of managers are significantly correlated with organizational performance, and the compensation of managers is significantly correlated with organizational performance. Through the empirical demonstration, this study promotes the management and development practice of non-profit organizations, and lays a solid foundation for the construction of socialist harmonious society in China.

Factors influencing the adoption of internet banking: An integration of ISSM and UTAUT with price value and perceived risk

The investigation of users' satisfactions and intentions in using the services provided by commercial banks needs to be focused on internet banking, since this is the widely used banking service. This paper analyzed the satisfactions and behavioral intentions of Malaysian customers in using Internet Banking, applying the Information System Success Model (ISSM) by the integration of adoption and application technology (UTAUT) theory. Some criteria, which were taken into consideration, are as follows: perceived Risk (PR), facilitating Conditions (FC), Price (PV), Performance expectancy (PE), Information Quality (IQ), Service Quality (SEQ), and System Quality (SQ). These aspects are important to measure customers' satisfaction and behavior toward Internet and Online Banking. A sample of 362 valid responses, consisting of Malaysian customers who used E-Banking, was used for the purpose of data collection. The relationship between customers' satisfaction and factors influencing their contentment in using Online Banking was investigated. In order to evaluate this, a model called “Structural Equation Model (SEM)” was developed and used. Findings showed that most of the Online Banking users were satisfied with the system. Hence, it proves that Online Banking System was generally accepted in the Malaysian community. However, this current research is solely focused on the Malaysian community. Therefore, it may provide the necessary grounds for the study of internet banking accreditation, some useful information for the practitioners, policy makers, and the researchers to improve the system of online banking in Malaysia only. For a future study, a more well-structured research, which can accommodate the global need, would be required.

Adoption of AI-Enabled Tools in Social Development Organizations in India: An Extension of UTAUT Model

Social development organizations increasingly employ artificial intelligence (AI)-enabled tools to help team members collaborate effectively and efficiently. These tools are used in various team management tasks and activities. Based on the unified theory of acceptance and use of technology (UTAUT), this study explores various factors influencing employees' use of AI-enabled tools. The study extends the model in two ways: a) by evaluating the impact of these tools on the employees' collaboration and b) by exploring the moderating role of AI aversion. Data were collected through an online survey of employees working with AI-enabled tools. The analysis of the research model was conducted using partial least squares (PLS), with a two-step model - measurement and structural models of assessment. The results revealed that the antecedent variables, such as effort expectancy, performance expectancy, social influence, and facilitating conditions, are positively associated with using AI-enabled tools, which have a positive relationship with collaboration. It also concluded a significant effect of AI aversion in the relationship between performance expectancy and use of technology. These findings imply that organizations should focus on building an environment to adopt AI-enabled tools while also addressing employees' concerns about AI.