This study examines the adoption intention of the Long-Term Care (LTC) regulatory system in Guangxi, China, emphasizing the influence of innovation attributes and perceived risk. It analyzes how relative advantage, compatibility, complexity, trialability, and observability positively affect healthcare providers' and elderly care institutions' willingness to adopt the system. The study further explores the moderating role of perceived risk in strengthening the relationship between these innovation attributes and adoption intention. Data were collected through a survey of 370 professionals from hospitals, rural health centers, and elderly care institutions and analyzed using SPSS and structural equation modeling (SEM). Results indicate that all five innovation attributes significantly enhance adoption intention, with perceived risk amplifying these effects. The findings underscore the need for supportive policies, technological advancement, and coordinated stakeholder engagement to ensure successful LTC system implementation. This research provides actionable insights for policymakers and industry leaders to support the expansion of LTC insurance systems amid China’s aging population.

Social cybernetics, as an interdisciplinary field, has gained increasing interest in the last decade due to the influence of information technologies in society through connectivity, Internet of things, process automation, artificial intelligence among others. This research focuses on exploring the relationship between social cybernetics (communication and control mechanisms) based on information technologies and local development, using structural equation modeling as an analytical tool. The design was non-probabilistic, with a sample of 482 people. The independent variables under study were Use of ICT for communication between local authorities and the population (CAP), Use of ICT for collaboration between public and private institutions (CPPC), Use of ICT for shared decision making (SDM), Use of ICT for local development planning (LDP) and Use of ICT for knowledge management (KM); and the dependent variable was Local Development (LD). It was determined that there is a relationship between all of them except with CAP. The direction and magnitude of the other ratios were: + 0.1390; - 0.3661; + 0.4472 and + 0.8432 respectively. The coefficient of determination (R2) was 93.69% facilitating the prediction of future results. The model has an adequate fit.

The research investigates the link between technology, organization, and environment, and the uptake of artificial intelligence among SMEs in Jordan. The objective is to get a deeper understanding of the factors that promote or hinder enterprises' use of artificial intelligence during the recruitment of leaders. A total of 295 participants, who were owners or managers in several SME sectors, manufacturing, including services, construction, and agriculture, were selected via judgmental sampling. Data collection was conducted utilizing a survey instrument, and the collected data was processed employing Smart PLS. The findings demonstrated a substantial correlation between attitude toward artificial intelligence uptake and factors such as relative advantage, complexity, top management commitment, and organizational preparedness. Nevertheless, factors like competitive pressure, external assistance, a favorable regulatory environment, compatibility, and staff flexibility do not significantly influence the attitude toward the uptake of artificial intelligence. In summary, these findings provide valuable insights for decision-making and resource distribution. They underscore the significance of factors such as relative advantage, complexity, top management commitment, and organizational readiness in achieving goals in the field of artificial intelligence. Additionally, they identify areas where efforts may not result in significant effects. The practical ramifications and future study paths are emphasized according to current technological needs.

Organizational structure is one of the most important components of any firm and it plays essential role on building successful business units. Organizational structure in cooperative organizations may influence productivity of such organizations, significantly. In this paper, we consider the relationship between various components including formality, complexity, concentration on performance measurement in cooperative organizations in province of Qom, Iran. The study selects 280 firms out of 1069 cooperative organizations and using Pearson correlation test examines different hypotheses. Based on the results of our survey, formality and concentration have positive impacts on the success of cooperative organizations but the impact of complexity on performance of organization is not confirmed.

The primary aim of this survey is to study the relationship between organizational structure and organizational agility in an insurance company in Iran. The statistical population includes 300 employees and managers of the proposed insurance company across in Tehran province, Iran and a sample of 73 people are selected, randomly for the survey. Questionnaire is used as a major tool of data collection. Validity of the questionnaire is confirmed through content validity by professors and experts. Reliability of the questionnaire was calculated using Cronbach alpha. SPSS software is used for data analysis. Research findings illustrate there is a significant relationship between organizational agility and two dimensions of organizational structure, i.e. formalization and centralization. No significant relationship was observed between complexity and organizational agility

The application of strategic knowledge management requires specific organization structure due to unique and particular characteristics of knowledge. In other words, by passing through industry age toward knowledge age, strategic knowledge management is considered by organizations dramatically and by considering this new competitive edge, universities should prepare an appropriate background for strategic knowledge management (encoding strategy and personalizing strategy). The primary purpose of this research is to find out whether there is a meaningful relationship between organizational structure (recognition, focus and complexity) and strategic knowledge management (codification strategy and personalization strategy) in Azad University, Kermanshah. Organizational structure is considered as independent variables and strategic knowledge management is dependent variables. When it comes to the purpose, present research is an applicable research and based on its nature and method, it is descriptive and survey research. Statistical society consists of university president, vise-president and dean of faculties of Azad University, Kermanshah; during a period of the first half of the year of 2011. Therefore, the sampling method is stratified sampling. Statistical society contains 60 people who are adjusted to 52 sample people by the use of Morgan table. Data collection tool is questionnaire structure questionnaire of Robbins and strategic knowledge management questionnaire of Carolina & ?ngelL. The results of the research show that there is a meaningful relationship between organizational structure and strategic knowledge management in Azad University, Kermanshah, according to codification and personalization strategy. Some suggestions are offered at the end of this research.