Organizational Environment Research Articles

Mediating Role of Information Flow in Enhancing Nursing Service Quality and Patient Satisfaction

Patient satisfaction is a key factor in the success of hospitals worldwide, making it an important focus for contemporary research. This study aims to examine the impact of service quality, employee satisfaction, and the organizational environment on patient satisfaction in Chinese hospitals. Additionally, it investigates the mediating role of information flow in the relationships between service quality, employee satisfaction, the organizational environment, and patient satisfaction in Chinese hospitals. Data for the study was collected through survey questionnaires administered to patients in government hospitals in China. The reliability of the data and the relationships among the constructs were analyzed using Smart-PLS software. The findings revealed that service quality, employee satisfaction, and the organizational environment positively influence patient satisfaction in Chinese hospitals. Moreover, the results indicated that information flow significantly mediates the relationships between service quality, employee satisfaction, the organizational environment, and patient satisfaction. These findings provide valuable insights for policymakers, offering guidance on strategies to enhance patient satisfaction by focusing on improving service quality, ensuring effective information flow, and fostering a positive organizational environment. Doi: 10.28991/ESJ-2025-09-01-09 Full Text: PDF

Advancing plant science through precision 3D bioprinting: new tools for research and biotech applications.

The integration of 3D bioprinting into plant science and biotechnology is revolutionizing research and applications. While many high-throughput techniques have advanced plant biology, replicating the complex 3D organization and cellular environments of plant tissues remains a significant challenge. Traditional 2D culture systems fall short of capturing the necessary spatial context for accurate studies of cell behavior, gene expression, and tissue development. Additionally, the lack of precise simulation of plant microenvironments limits control over cellular interactions and responses to external stimuli. Recent advancements in 3D bioprinting address these limitations by allowing precise control over cell positioning and biomaterial arrangement, thereby better replicating natural plant environments. This enables more accurate studies of gene expression, developmental processes, and stress responses. The technology also enhances our ability to test genetic modifications and biotechnological interventions, advancing crop improvement, sustainable agriculture, and precision breeding. This review examines the current state of 3D bioprinting in plant science, discusses its limitations, and explores its potential to transform research and applications in the field.

Academic Anatomy of Higher Education

Abstract: The Academic Anatomy of Higher Education is an advanced digital platform that integrates and automates key administrative and academic processes within educational institutions. It provides a seamless interaction between administrators, faculty, and students, facilitating efficient management and communication. The system empowers administrators to manage staff recruitment, course and subject creation, student enrolment, and handle leave permissions. With this system, faculty members can easily manage student attendance, input academic results, and upload reference materials, providing a centralized source of academic data. Students benefit from quick access to their academic performance, attendance records, and available reference books. This unified platform streamlines administrative workflows, reduces manual intervention, and improves accuracy in tracking academic data. It promotes transparency and accountability across all levels of the institution, enhancing the overall academic experience. The system not only optimizes administrative tasks but also enables a more organized and collaborative learning environment. Through its comprehensive functionality, the Academic Anatomy of Higher Education ensures a more efficient, transparent, and user-friendly academic management system, ultimately contributing to better institutional performance and student satisfaction

The Datafication of Environmental Injustice

ABSTRACT This paper discusses the contradictory effects of geography and environmental justice research on state administrative processes. Drawing on the siting of a liquefied natural gas (LNG) plant on the Tideflats of Tacoma Washington, we argue that research that fails to consider the limitations of administrative violence becomes complicit in it. Through datafication, scientific research has repeatedly documented the harms of industrial development while taking the violence that made the Tideflats as a given. The Puyallup Tribe and environmental organizations’ lawsuit reveal the complicity of science in understanding landscape through a narrow political lens, ignoring the context of settler colonialism and the settler state’s responsibility to Indigenous nations. In this way, academic researchers facilitate administrative violence by participating in drawn out regulatory and legal processes while the environmental injustice in question continues.

The Effects of Enterprises’ E-Business Adoptions on Cross-Border Firm Internationalization

Nowadays, in the complex business network system, the interaction of firms across borders is facing several challenges. Many studies in the literature also suggest numerous approaches to overcome these challenges. However, a few of the obstacles for internationalizing firms were studied and the challenges are increasing against firms’ growth opportunities cross-border. Taking this into account, the present research emphasized the roles of enterprises’ e-business adoptions of countries on cross-border firms’ internationalization by drawing from network theory and technology–organization–environment frames. By employing a fixed effect model to 365 enterprises, leaders’ attitudes of preferring technology-intensive firms, network infrastructure, risk-averting attitudes, country’s market size, multilingual services, e-government status, threats from competitors, reliable utility sources, human capital quality, costs of adoptions and telecom services enrichments, and costs of adopting different online services need to be taken into account before internationalization of born global companies.

P-251. Assessing the Persistent Effects of an Extensive Hospital Cleaning Initiative on Healthcare-Associated Infections and Multidrug-Resistant Microorganism Colonization in Patients: A Longitudinal Study

Abstract Background Healthcare-associated infections (HAI) pose a significant global threat to patient safety. The hospital environment's role in infection prevention and control has gained renewed importance. Objective: to assess the impact of hospital environmental interventions on improving healthcare environmental hygiene and ultimately reducing patient colonization with multidrug-resistant microorganisms (MDROs) and other epidemiologically significant pathogens. Secular time trend of monthly incidence density per 1,000 patient-days for nine MDROs, 2021-2022 Secular time trend of monthly incidence density per 1,000 patient-days for nine MDROs, 2021-2022 Methods In 2019, a multidisciplinary environmental organization committee was formed, including representatives from the hospital board, hospitality, occupational health and safety, and pharmacy. This committee launched a dedicated weekly task force to focus on cleaning and integrated surface disinfection throughout the hospital, encompassing all units, including the intensive care units. Regular rounds were conducted by the task force to ensure comprehensive environmental hygiene. The study was conducted at a public institution in Belo Horizonte, Brazil, which has a capacity of 420 beds. The incidence density per 1,000 patient-days was calculated to assess the time trend of nine MDROs across the entire hospital. The MDROs included in the analysis were MRSA, carbapenem-resistant Acinetobacter sp, carbapenem-resistant Enterobacteriaceae, VRE, ESBL-producing Gram-negative bacilli, KPC-producing Gram-negative bacilli, Pseudomonas aeruginosa, Serratia sp, and NDM-producing Gram-negative bacilli. Monthly incidence density per 1,000 patient-days, and six-month moving average incidence for MRSA, 2021-2022 Monthly incidence density per 1,000 patient-days, and six-month moving average incidence for MRSA, 2021-2022 Results Over the course of four years (2019-2022) of implementing the weekly cleaning task force, we observed a sustained downward trend in the monthly and six-month moving average incidence rates of seven out of the nine MDROs assessed. Monthly incidence density per 1,000 patient-days, and six-month moving average incidence for carbapenem-resistant Acinetobacter sp, 2021-2022 Monthly incidence density per 1,000 patient-days, and six-month moving average incidence for carbapenem-resistant Acinetobacter sp, 2021-2022 Conclusion Long-term implementation of a dedicated and extensive hospital cleaning task force has resulted in a consistent reduction in MDRO occurrences, demonstrating the effectiveness of this approach. Monthly incidence density per 1,000 patient-days, and six-month moving average incidence for carbapenem-resistant Acinetobacter sp, 2021-2022 Monthly incidence density per 1,000 patient-days, and six-month moving average incidence for carbapenem-resistant Acinetobacter sp, 2021-2022 Disclosures All Authors: No reported disclosures

An Exploratory Model of How Ethical Indicators Predict Health Professional Burnout.

The objectives of this study were to characterize burnout in five different health professions (i.e., pharmacists, nurses, occupational therapists, psychologists, and mental health counselors) as well as to determine if moral distress, ethical stress, and/or ethical climate were predictive of burnout and job satisfaction. Cross-sectional survey data were collected in the USA using validated measures from a sample of 291 in early 2022 (COVID-19 Omicron wave). The average age of participants was 51 years (s.d. = 12.59) and most identified as female (78%), White/Caucasian (82%), married/in a domestic partnership (72%), without dependents (57%), and had > 20 years of experience (53%). Results demonstrated that two of the three dimensions of burnout (i.e., emotional exhaustion and depersonalization) reached clinically significant levels among nurses, occupational therapists, and pharmacists, but not among psychologists or mental health counselors. In testing an exploratory structural equation model, moral distress, ethics stress, and ethical climate contributed significantly to the burnout and job satisfaction of all professionals (CFI = 0.905; SRMR = 0.056; Gamma hat scaled = 0.931). These findings support a theoretical framework for explaining associations between ethical indicators and burnout and job satisfaction. Future research should explore if professions with less burnout experience differences in the organizational environment, autonomy, and independence of clinical work, and/or professional identity. Exploration into professional socialization, such as strategies learned as part of training and development, may be warranted to identify factors that buffer or mitigate burnout risk.

Sensemaking and Management Learning: Productive tensions and unrealized possibilities

In this article I aim to provide a critical review of how sensemaking has featured in Management Learning and beyond, with wider reflections on productive tensions and unrealized possibilities for guiding future contributions to management research and practice. Relationships between learning and sensemaking have generally been considered as involving various processual tensions, but often conceptualized as productive tensions whereby they mutually inform, complement and rebalance each other. I argue that renewed engagement with these tensions in management can reveal unrealized possibilities for exploring what it means to be a knowing, learning, sensemaking subject in contemporary organizational environments. I organize my reflections based on the relationships between sensemaking and four other areas: (1) critical management studies, (2) reflexivity, (3) learning and (4) education. Going forward, sensemaking contributions in management may be best served by continuing to explore more diverse traditions and projects alongside and beyond the estimable contributions of Karl Weick.

When less is more: Exploring the relation between delay discounting rates in a personal and organizational context

ABSTRACT Many work-related decisions involve choosing between alternatives that differ in value (e.g., $100 or $1,000) and temporal availability (e.g., now or four years). Prior studies suggest workers prefer immediate outcomes due to organizational resource uncertainty. However, it remains unclear whether this preference stems solely from the organizational environment or is influenced by a worker’s reinforcement history. This study examined differences in monetary discounting across delays in two contexts: organizational (money allocated to work-related activities) and personal (money spent freely). Conducted in a private security corporation, participants completed two discounting tasks, each testing two amounts across seven delays. Results showed participants systematically favored immediate outcomes in the organizational context. Smaller amounts were discounted more, regardless of context, and personal discounting patterns predicted organizational decisions. Job experience was unrelated to discounting. Findings suggest immediate preferences at work may result from both organizational uncertainty and reinforcement history shaping decision-making.

Can responsible leaders transmute sustainability & OCBE among manufacturers in developing economy? A mediated moderated approach for organizational sustainability

This study examined the link among environmentally conscious organizational citizenship behavior (OCBE) and responsible leadership among 167 management-level workers in manufacturing plants of arts industry in a developing economy. The study explored the impact of responsible leadership on OCBE, both directly and indirectly through colleague exchange. It also explored the role of a green organizational environment, employee goal orientation, and supervisory support in regulating the link between coworker exchange and OCBE. The findings indicated that responsible leadership held a substantial and favorable influence on organizational citizenship behavior and that this link was mediated via colleague interchange. Workers who exhibited high degrees of goal orientation and were exposed to a sustainable work environment exhibited higher organizational citizenship behavior towards the environment (OCBE), suggesting a connection between colleague contact and OCBE. However, the support from supervisors did not have any moderating effect on this association. The study offers practical and management insights into how to encourage eco-behavior in the workplace.

Legitimating non-state actor engagement in global climate governance

Abstract Our study examines how international organizations seek to legitimate non-state actor engagement to elite audiences, using the secretariat of the United Nations Framework Convention on Climate Change (UNFCCC) as an illustrative case. We employ the prism of legitimation, a process whereby international organizations justify their institutional designs, decision-making procedures and policy outcomes with a view to enhancing legitimacy. We unpack legitimation along two vectors: normative and operational. Normative legitimation seeks to justify a particular norm, while operational legitimation explains how the organization meets a norm—or why it fails to do so. The latter constitutes a blind spot in existing literature. Based on a qualitative analysis of official documents and interviews with UNFCCC secretariat officials, we present two findings. First, the secretariat has sought to justify the need for non-state actor engagement by accentuating its significance for procedural and performance legitimacy. Second, in response to contestation over its engagement practices, the secretariat advances operational claims. It has underscored multiple constraints to its agency, the tension between ever-rising audience demands and a finite supply of engagement opportunities, and a unique organizational environment. Our analysis highlights the need to recognize the complex operational realities international organizations face when making normative demands or gauging the appropriateness of global governance.

Investigation of Diverse Urban Carbon Emission Reduction Pathways in China: Based on the Technology–Organization–Environment Framework for Promoting Socio-Environmental Sustainability

In the context of global carbon emissions and climate change, identifying context-specific low-carbon pathways for urban areas is critical for achieving socio-environmental sustainability. This study applies the technology–organization–environment (TOE) framework to examine the driving mechanisms and the diversity in carbon reduction pathways across 81 cities in China. Utilizing partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA), this research assesses the roles of technological, organizational, and environmental drivers in urban carbon reduction. Fuzzy-set qualitative comparative analysis (fsQCA) is employed to uncover distinct carbon reduction pathways and causal asymmetries between cities. The findings reveal that technological, organizational, and environmental factors significantly drive carbon reduction, with technological and organizational factors playing the central roles. Environmental factors exert primarily indirect effects, interacting with technological and organizational drivers. This study categorizes cities into three distinct carbon reduction models: cities with high carbon-neutral potential primarily leverage technological innovation and energy efficiency optimization; cities with moderate potential integrate technology and policy, emphasizing green landscape planning to achieve balanced development; and cities with lower carbon reduction potential are mainly policy-driven, constrained by technological and resource limitations. This study underscores the role of computational modeling in providing valuable insights for the development of context-tailored carbon reduction strategies. It highlights the synergetic interactions among technological, organizational, and environmental factors, offering essential guidance for advancing sustainable development planning and facilitating the low-carbon transition of cities and communities.

Digital Evolution in Nigerian Heavy-Engineering Projects: A Comprehensive Analysis of Technology Adoption for Competitive Edge

The fourth industrial revolution has introduced a range of digital technologies (DTs) that possess the potential to significantly enhance the operations and competitiveness of heavy-construction firms. Grounded in the Technology–Organization–Environment (TOE) Framework, the Resource-Based View (RBV) and the Diffusion of Innovation Theory (DOI), this study investigates the relationship between the adoption of digital technologies and the competitive edge (CE) of heavy-engineering firms. Specifically, this research seeks to assess how the adoption of DTs impacts four critical competitive-edge metrics: efficient resource management (CE1), real-time monitoring and control (CE2), data-driven decision-making (CE3) and improved collaboration and communication (CE4). A quantitative research approach was employed, using a structured questionnaire distributed to construction professionals in Lagos State, Nigeria. The principal results of the study revealed that firms adopting artificial intelligence (AI), cloud-based technology and the Internet of Things (IoT) exhibited significantly higher competitive-edge metrics compared to their counterparts. Notably, AI and cloud-based technology were found to have a particularly strong association with improved resource management, real-time monitoring, and decision-making processes. A major contribution of this research is the development of a DT-adoption model which can serve as a benchmarking tool for firms to assess their current adoption levels and identify areas for improvement. This model can also guide policymakers and regulators in developing strategies to encourage the integration of digital technologies within the heavy-construction industry. The originality of this study lies in its holistic approach, examining a broad spectrum of digital technologies and their collective impact on enhancing the competitive edge of construction firms.

Strategy for Building Optimal Performance of Medical Laboratory Technologists: Synergy of Organizational Culture and Work Environment with Job Satisfaction as an Intervening Variable

Strategy for Building Optimal Performance of Medical Laboratory Technologists: Synergy of Organizational Culture and Work Environment with Job Satisfaction as an Intervening Variable

Thermal Decomposition of Date Seed/Polypropylene Homopolymer: Machine Learning CDNN, Kinetics, and Thermodynamics

The buildup of abandoned plastics in the environment and the need to optimize agricultural waste utilization have garnered scrutiny from environmental organizations and policymakers globally. This study presents an assessment of the thermal decomposition of date seeds (DS), polypropylene homopolymer (PP), and their composites (DS/PP) through experimental measurements, machine learning convolutional deep neural networks (CDNN), and kinetic and thermodynamic analyses. The experimental measurements involved the pyrolysis and co-pyrolysis of these materials in a nitrogen-filled thermogravimetric analyzer (TGA), investigating degradation temperatures between 25 and 600 °C with heating rates of 10, 20, and 40 °C.min−1. These measurements revealed a two-stage process for the bio-composites and a decrease in the thermal stability of pure PP due to the moisture, hemicellulose, and cellulose content of the DS material. By utilizing machine learning CDNN, algorithms and frameworks were developed, providing responses that closely matched (R2~0.942) the experimental data. After various modelling modifications, adjustments, and regularization techniques, a framework comprising four hidden neurons was determined to be most effective. Furthermore, the analysis revealed that temperature was the most influential parameter affecting the thermal decomposition process. Kinetic and thermodynamic analyses were performed using the Coats–Redfern and general Arrhenius model-fitting methods, as well as the Flynn–Wall–Ozawa and Kissinger–Akahira–Sunose model-free approaches. The first-order reaction mechanism was identified as the most appropriate compared to the second and third order F-Series solid-state reaction mechanisms. The overall activation energy values were estimated at 51.471, 51.221, 156.080, and 153.767 kJ·mol−1 for the respective kinetic models. Additionally, the kinetic compensation effect showed an exponential increase in the pre-exponential factor with increasing activation energy values, and the estimated thermodynamic parameters indicated that the process is endothermic, non-spontaneous, and less disordered.

Assessing public support for air pollution mitigation and control policies: health, socioeconomic, and ideological predictors in an overburdened and vulnerable region of the U.S.

BackgroundThe San Joaquin Valley (SJV) in California is one of the most polluted regions in the U.S. This study examined favorability for air pollution mitigation policies, interventions, and identified predictors amongst region’s residents.MethodsA cross-sectional online survey asked about health status and conditions, self-protective behaviors, attitudes toward air pollution recommendations, air quality information knowledge and mitigation behaviors, as well as whether their views were favorable or unfavorable towards policy and interventions. EuroQOL-5D-3L was utilized to estimate quality-of-life distribution equity and air pollution policy favorability.ResultsA total of 310 adults residing in the SJV participated in the survey. The mean age was 42.90 years, with 34% having asthma. People with asthma reported the lowest health-related quality of life (HRQoL) compared to other air pollution “sensitive” groups. Concerns included the costs, charge and attributes of adopting hybrid or electric vehicles. Residents supported air pollution control and public space preservation, with socioeconomic factors and health state being significant predictors. Left-wing ideologies favor policies charging polluters, controlling emissions, and preserving public spaces, whereas right-wing views negatively predict support for electric vehicle charges and local organization interventions.ConclusionsResults may help air pollution control policymakers, public health agencies, environmental justice organizations, and the health equity research community understand the reasons for differential responses to air pollution interventions and mitigation efforts. This new knowledge could assist stakeholders in recommending sustainable and cost-effective interventions for improving air quality, elicit behavior change, and climate change adaptation in the region.

The Role of Adaptive Leadership in Times of Crisis: A Systematic Review and Conceptual Framework

Leading multidisciplinary teams requires not only strong leadership skills, but also a supportive organizational environment. This study examines the key characteristics necessary for adaptive leadership and identifies the main organizational factors that facilitate its development. A systematic literature review, following the PRISMA-P protocol, was conducted, analyzing 33 studies on the traits of adaptive leaders and relevant organizational factors. Based on these findings, we propose a conceptual framework representing the feedback cycle of the adaptive leadership process within organizations and present three propositions associated with this model. The results indicate that the primary characteristics of adaptive leaders include flexibility, empathy, innovation, and long-term vision. Conversely, organizations possess factors that can either facilitate or hinder the development of adaptive leadership, such as organizational culture, structure, innovation history, and strategy. The findings emphasize that orchestrating adaptive teams during times of crisis is especially challenging, requiring additional competencies in resilience and adaptability. This study contributes to the literature by identifying the essential capabilities of adaptive leaders and discussing key considerations for leaders and practitioners seeking to transition from traditional to adaptive leadership.

Transformational Versus Transactional Leadership: Implications for SME Management

Leadership styles play a crucial role in shaping the performance and outcomes of Small and Medium-sized Enterprises (SMEs). This paper discusses two prominent leadership styles, transactional and transformational leadership, on various organizational aspects within the SME context. Transactional leadership, characterized by structured exchanges based on rewards and penalties, is found to positively influence employee performance, operational efficacy, and strategic success in diverse settings. While transactional leadership is noted for its direct impact on organizational processes, its relationship with innovation and learning capabilities is nuanced. On the other hand, transformational leadership, focusing on inspiration and motivation through a shared vision, has a significant positive influence on innovation, employee performance, and retention in SMEs. Studies highlight how transformational leadership fosters a culture of trust, innovation, and continuous improvement, impacting areas such as knowledge sharing, organizational citizenship behavior, and sustainability practices. The findings stress the critical role of both leadership styles in driving success within SMEs, emphasizing the need to consider specific practices, sectoral contexts, and organizational environments for optimal impact.

Information Technology Management System of Sharing Knowledge Between Universities Using Systematic Literature Review

Knowledge is a vital resource for academic institutions, driving innovation dan development. However, universities face challenges in effective knowledge sharing due to cultural barriers, lack of trust, and technological constraints. This research, conducted using a Systematic Literature Review (SLR), identifies key variables influencing knowledge sharing, highlights challenges, and proposes solutions to foster collaboration. The findings reveal that cultural barriers, such as competitive organizational environments and technological constraints, including high costs and user-friendly systems, significantly hinder knowledge sharing. To address these issues, the study recommends implementing user-friendly technologies, promoting collaboration through seminars and workshops, and encouraging cross-departmental projects. These solutions provide actionable insights to enhance knowledge sharing frameworks and support innovation across academic institutions

Clima organizacional y satisfacción laboral en el distrito educativo de Santa Elena

The general objective of this work was to analyze the impact of the environment within companies on the sense of well-being of the administrative officials of the Santa Elena Educational District. It was theoretically based, with a basic, quantitative approach in which the survey was used as the main technique for collecting information using the questionnaires of Paúl Spector (1985) to measure satisfaction and that of Litwin and Stringer (1968) to measure the organizational climate; It had an adequate analysis to obtain the results in order to identify the impact that exists on the workers' sense of well-being and contribute internally to the improvement of processes in the institution. The specific hypotheses H3, H4, H5, H6, H7, H8 were accepted, except for H2, which is rejected as this dimension has no impact, which causes the general hypothesis H1 to be partially accepted. The results obtained show how the variables are related, although with variations in the influence of their different dimensions, which encourages the creation of improvement strategies within the Santa Elena Educational District to improve the organizational environment of the institution to thus positively affecting the sense of well-being of workers for the benefit of students.