Organizational quality specific immune evaluation model based on optimal combination weighting

Purpose The present research aimed to develop an organizational health model and describe the key dimensions constituting organizational health in the agricultural extension structure of Iran. Design/methodology/approach The research population was composed of all staff and line people of the agricultural extension structure of Iran. Based on the research characteristics, the sampling was performed in two steps (N = 2281). The sample size was determined by the finite population correction formula (n = 223). The data collection instrument was a questionnaire. Findings The results showed that the components of constructive organizational behaviors, management competency, context to have a healthy working climate, intra-organizational factors, organizational integrity, and importance of human resources to organization health had a positive and significant impact on the process of organizational health. Practical implications It can be recommended to design a performance appraisal system based on the competencies and performance of employees and to include such issues as the acknowledgment of small progress versus big progress and valuation of spiritual and social rewards along with material rewards. Theoretical implications Empowerment is a facet of organizational health that should be given more attention to by organizations. It comprises consulting, training, guiding, involving, encouraging responsibility, motivating diligence, and all the factors that can improve people's perception of organizational health and quality of career. Originality/value All internal, external, environmental, and communication factors should be considered in the organizational health of agricultural extension in order for organizational health to be realized comprehensively.

Continuous innovation is an important prerequisite for enterprises to build dynamic competitive advantages in a highly complex and uncertain external environment. Therefore, this paper discusses how to improve the total factor productivity of enterprises from the perspective of the sustainability of innovation input. This paper uses the panel data of Shenzhen and Shanghai listed companies from 2008 to 2023 to test how the sustainability of innovation input affects the total factor productivity of enterprises. The study found that: ① The sustainability of innovation input has a positive correlation with the total factor productivity of enterprises and has passed a series of robustness tests such as the replacement variable method, the addition of control variables method, the lagged one-period method and the elimination of special values. ② The regression coefficient of the impact of the sustainability of innovation input on the total factor productivity of enterprises in the central region is the highest, and the regression coefficient of the impact of the sustainability of innovation input on the total factor productivity of enterprises in the eastern region is the lowest. Among non-state-owned enterprises, the regression coefficient of the impact of the sustainability of innovation input on the total factor productivity of enterprises is higher than that of state-owned enterprises. And relevant suggestions are put forward.

Delivery of preventive care and chronic disease management are key components of a high functioning primary care practice. Health Centers (HCs) funded by the Health Resources and Services Administration (HRSA) have been delivering affordable and accessible primary health care to patients in underserved communities for over fifty years. This study examines the association between health center organization's health information technology (IT) optimization and clinical quality performance. Using 2016 Uniform Data System (UDS) data, we performed bivariate and multivariate analyses to study the association of Meaningful Use (MU) attestation as a proxy for health IT optimization, patient centered medical home (PCMH) recognition status, and practice size on performance of twelve electronically specified clinical quality measures (eCQMs). Bivariate analysis demonstrated performance of eleven out of the twelve preventive and chronic care eCQMs was higher among HCs attesting to MU Stage 2 or above. Multivariate analysis demonstrated that Stage 2 MU or above, PCMH status, and larger practice size were positively associated with performance on cancer screening, smoking cessation counseling and pediatric weight assessment and counseling eCQMs. Organizational advancement in MU stages has led to improved quality of care that augments HCs patient care capacity for disease prevention, health promotion, and chronic care management. However, rapid technological advancement in health care acts as a potential source of disparity, as considerable resources needed to optimize the electronic health record (EHR) and to undertake PCMH transformation are found more commonly among larger HCs practices. Smaller practices may lack the financial, human and educational assets to implement and to maintain EHR technology. Accordingly, targeted approaches to support small HCs practices in leveraging economies of scale for health IT optimization, clinical decision support, and clinical workflow enhancements are critical for practices to thrive in the dynamic value-based payment environment.

This paper is based on financial data analysis of 241 listed pharmaceutical manufacturing enterprises in China, we study the different effects of different tax reduction policies on the financial performance of enterprises in the short term and long term. Through the verification of practical examples, it could be found that the implementation of a tax reduction policy can indeed play a positive role in the financial performance of enterprises, and the reduction of income tax significantly improves the short-term financial performance of enterprises. However, the tax reduction of turnover tax significantly enhances the long-term financial performance of enterprises, and the effect of tax reduction on the financial performance of state-owned enterprises is better than that of non-state-owned enterprises. Generally speaking, tax reduction policy has a better effect on the financial performance of non-state-owned enterprises and enterprises in central and western regions than state-owned enterprises and enterprises in eastern regions.

Under the global wave of intelligence, intelligent manufacturing has become a crucial means of transforming and upgrading China's manufacturing industry. Accurate evaluation of the implementation effects of intelligent manufacturing industry policies is an urgent issue. This study uses the introduction of the "Made in China 2025" policy as a quasi-natural experiment and employs the difference-in-differences method to investigate the impact of intelligent manufacturing policies on firms' total factor productivity (TFP) and its mechanisms. These results indicate that implementing intelligent manufacturing policies significantly enhances firms' TFP. Mechanism analysis reveals that intelligent manufacturing policies can improve firms' ESG performance by enhancing green technology innovation capabilities, increasing capital market attention, and reducing internal control costs, thereby enhancing firms' TFP. Heterogeneity analysis finds that intelligent manufacturing policies have a more pronounced effect on promoting TFP in large-scale enterprises, labor-intensive enterprises, firms with higher technical employee levels, companies in highly competitive industries, and enterprises in regions with higher levels of digital infrastructure development and lower economic development as compared to their counterparts. This study provides evidence of how intelligent manufacturing policies drive the high-quality and sustainable development of enterprises and offers insights for future policy formulation and implementation.

The longevity of organizations depends on the ability to deliver quality products or services to the customers. Starting with the 1920s the notion of quality in organizations has gained importance and currently millions of companies worldwide apply one model of quality management or the other. European Foundation for Quality Management (EFQM) model is a prime example practiced throughout Europe. With the world resources being ever depleted at fast rate sustainability is also becoming a key issue in today’s business world. Sustainability and corporate social responsibility principles are generally in line with the EFQM model and have many common elements. This paper explains and demonstrates how the EFQM criteria and sustainability principles overlap. Examples will be given from reverse logistics and supply chain practices.

This study establishes the factors influencing Organisational Health (OH), leading to the development of an empirical measurement instrument. Despite the fact that a few firms have understood the significance of measuring health, they mostly do not know precisely what to measure, because of an absence of understanding of what constitutes a set of organisational health dimensions. This study used a mixed method through literature review, expert opinion and a quantitative pilot survey with 123 supervisory staff from a telecommunication company in India. The instrument was further tested for standardisation in Malaysia, Bangladesh and Indonesia. The study identified an OH measurement model consisting three constructs such as Change Capacity, Goal Alignment and Competitive Advantage. There are 29 items which collectively influence the degree of OH in an Organisation. By proposing, creating, and validating a multi-dimensional, operational measure of the organisational health, and by showing its viability in enhancing organisational performance, the present study gives practitioners a handy instrument for assessing the extensiveness of their current OH initiatives. The experts while interacting for the study expressed a uniform opinion regarding the OH constructs and its factors. We believe that developing an objective measurement instrument for organisational health is a significant contribution to the body of knowledge.

The aim of this study is to investigate the role of environmental dynamism in relation to dynamic capabilities and competitive advantage. This study uses a quantitative approach and type of explanatory research. The survey was conducted at 130 MSMEs in Malang Raya. Hypothesis testing using SEM-PLS. The findings of the study prove that environmental dynamism is a driver for dynamic capability, while providing evidence that environmental dynamism acts as a negative moderator for achieving competitive advantage. Another finding is that dynamic capabilities have a major effect on competitive advantage while simultaneously acting as fully mediating environmental dynamism with competitive advantage. The implication is important for MSMEs to develop dynamic capabilities in order to deal with environmental dynamism so that MSMEs can increase competitive advantage because if they do not develop dynamic capabilities, environmental dynamism will reduce MSME's competitive advantage.

Over the past few decades, research on organizational embeddedness and organizational learning has grown dramatically. In the organizational embeddedness and organizational learning context, relational embeddedness provides the resource foundation for organizational learning, ambidextrous learning converts resources into capabilities using exploration and exploitation approaches, and environmental dynamism determines the optimal combination of relational embeddedness and ambidextrous learning by moderating the uncertainty and changes in the external environment. Relational embeddedness and learning ambidexterity are becoming more widely acknowledged as sources of organizational performance. By analyzing the roles of relational embeddedness, ambidextrous learning, and environmental dynamism, this research aims to improve knowledge of the elements influencing competitive advantage in digital healthcare. Although numerous research studies have examined the effects of relational embeddedness on performance, little is known about the mechanisms by which relational embeddedness confers competitive advantages in a digital healthcare environment. Clarifying the role of relational embeddedness in driving competitive advantage is critical for delineating the intricate relationship between relational embeddedness and competitive advantage in digital healthcare. To fill this research gap, this study examines how ambidextrous learning and environmental dynamism impact the relationship between relational embeddedness and competitive advantage in digital healthcare. This paper analyzes the data using SPSS 26.0 and its macro software, PROCESS, with a focus on 356 middle and senior managers of enterprises surveyed between July 2024 and November 2024. Our findings support the notion that relational embeddedness enhances competitive advantage in digital healthcare. Additionally, explorative and exploitative learning partially mediates the relationship between relational embeddedness and competitive advantage. Furthermore, environmental dynamism significantly and differentially moderates the influence of relational embeddedness on exploitative and explorative learning. This study contributes to the existing literature by offering a more detailed examination of the relationship between relational embeddedness and competitive advantage in digital healthcare. It also has significant practical implications for healthcare improvement and socio-economic development.

Strengthening organization quality-specific immune is the key linkage to improve the quality performance of intelligent manufacturing enterprises. organization quality-specific immune is constructed by selecting four state variables of organization quality cognition, monitor, defense, and memory. Based on the perspective of self-organization, self-organization theory and methods are used to construct the evolution model of organization quality-specific immune. According to four state variables, the evolution of organization quality-specific immune of fourteen typical intelligent manufacturing enterprises is studied, and the conclusion is drawn according to the relaxation coefficient. The empirical results show that self-organization theory and self-organization methods can effectively analyze the evolution of organization quality-specific immune and provide new inspiration for organization quality improvement and quality management of intelligent manufacturing enterprises. The finding results will present the framework for practicing engineering managers of intelligent manufacturing enterprises to enhance organization quality performance and organization quality-specific immune performance and promote organization quality-specific immune evolution.

Purpose. The analysis of theoretical concepts of sustainable competitive advantage, the assessment of the competitive advantages of the agricultural sector in the region and identification of the opportunities to provide competitive advantages under conditions of instability as well as a changeable business environment. Results. Two opposite concepts of sustainable competitive advantages’ sources are analyzed. The first one is resource-oriented, the second one – based on the influence of the external environment on the competitive position of the company. It is found out that in modern conditions, the concept based on the resource approach is more adequate for the agrarian sector as the business features in agriculture predetermine the considerable resources’ immobility. In agriculture, due to the specificity of rural settlements, the combination of the basic resources (land, machinery, people) causes a quite rigid configuration that cannot be changed quickly enough. But the resources themselves are not a source of competitive advantage; the ability to use available resources effectively is important. The authors propose a method for comparing the security and efficiency of the basic resources’ usage in agriculture by region. Under the framework of the methods, it was put the index method that allows comparing individual indicators and defining the integral index. The authors used such indicators as energy capacity, tractors and labour resources per one hectare of agricultural land to estimate resource availability. Resource efficiency is characterized by labour productivity indicators (gross production per one average annual employee) and land productivity (gross production per one hectare of agricultural land). The integral indices were calculated based on the geometric mean. There was done the comparative analysis of the provisions of basic resources and the efficiency of their usage by agricultural enterprises of Sumy region, neighbouring regions as well as the average industry indicators based on the proposed methodology. The analysis confirmed the existence of sustainable competitive advantages in the regional context and found that the leading resource is not natural characteristics, but effective management, which provides the highest efficiency of management. Conclusions. Taking into account the rapid changes in the business environment, any competitive advantage can quickly turn from sustainable to unstable. An assessment of the competitive advantages of the agrarian sector in the region has shown that to provide a sustainable position, it is first and foremost necessary to focus on reducing the costs and use innovations. Under conditions of rapid technological change, the main resource is human ones that can produce certain knowledge and innovative solutions. The proposed method of calculation of the integral indicators of resource availability and efficiency of their usage allows evaluating the existence of competitive advantages objectively and can be used both for the development of competitive strategies of agricultural enterprises and the preparation and decision-making at the level of central and regional authorities

Team crystallization (SIO 2): Dynamic model of team effectiveness evaluation under the dynamic and tactical environment at nuclear installation

Quality of life and organization of care in patients with chronic myeloid leukemia (CML) within the lombardy hematologic network (REL): The CML-OPERAP study

Despite the development of appropriate academic and experiential background knowledge management and its manifestation as a competitive advantage, many organizations have failed in its effective utilization. Among the reasons for this failure are some deficiencies in terms of methodology in inappropriate recognition and translation of KM dimensions and lack of systematic approach in establishment of causal relationships among KM factors. This article attempts to design an Organizational Knowledge Management Excellence Model. To design an organizational knowledge management excellence model based on library researches, interviews with experts and interpretive-structural modeling (ISM) was used in order to identify and determine the relationships between the factors of km excellence. Accordingly, 9 key criteria of KM Excellence as well as 29 sub-criteria were extracted and the relationships and sequence of factors were defined and developed in 5 levels for designing an organizational KM excellence Model. Finally, the concepts were applied in Defense Organizations to illustrate the proposed methodology.

As global climate change issues become increasingly severe, low-carbon development has emerged as a key direction for economic and social transformation in countries worldwide. The low-carbon city pilot policy, as a crucial initiative to promote green and low-carbon development, plays a significant role in fostering corporate technological innovation and achieving high-quality economic growth. Utilizing data collected from the National Tax Survey Database (NTSD) between 2007 and 2016, this study employs a staggered difference-in-differences (DID) model to examine the impact of the low-carbon city pilot policy on enterprise technological innovation. The empirical results indicate that the policy significantly promotes technological innovation by enhancing green credit support, increasing the intensity of fiscal subsidies, and expanding green investment. This promoting effect also varies significantly depending on regional disparities, industry characteristics, and inherent firm features, with more pronounced positive impacts observed in eastern regions, areas with stringent environmental enforcement, highly polluting industries, lower-tier cities, and large-scale enterprises. This research not only contributes theoretically to related fields but also provides policy recommendations for optimizing and improving policy frameworks, accelerating the transition to green and low-carbon development, and achieving sustainable development in the next phase.