Multiple Organizations Research Articles

Bloomsbury Open Collections: A new model for open access monographs

Open access brings important benefits to scholarly books and their authors. Research shows open access publication can substantially increase and diversify monograph readership, supporting and amplifying a worldwide interest in scholarship in the arts, humanities, and social sciences. But, while open access provides greater equality for readers, the prevailing fee-based models exclude many authors. To address this challenge, Bloomsbury has this year launched a new model, Bloomsbury Open Collections, that aims to offer open access for books in a way that is sustainable for us as a publisher, but which does not rely on fees paid by individual authors’ institutions and funders. Through this model, we are aiming to make open access publication available to a wider range of scholarly book authors by spreading the cost across multiple organisations, while providing additional benefits to participating libraries. Our hope is to engage a more diverse set of authors, bringing their work to a wider global audience. In this poster we share details of how our open access monographs pilot works in practice and how we went about developing the model. We provide insights into how feedback from librarians shaped our approach, and how we have sought to incorporate transparency into the model. We also discuss the principles we used to select titles for inclusion in the pilot, and share some early feedback from our author community.

Sniffing out safety: canine detection and identification of SARS-CoV-2 infection from armpit sweat.

Detection dogs were trained to detect SARS-CoV-2 infection based on armpit sweat odor. Sweat samples were collected using cotton pads under the armpits of negative and positive human patients, confirmed by qPCR, for periods of 15-30 min. Multiple hospitals and organizations throughout Belgium participated in this study. The sweat samples were stored at -20°C prior to being used for training purposes. Six dogs were trained under controlled atmosphere conditions for 2-3 months. After training, a 7-day validation period was conducted to assess the dogs' performances. The detection dogs exhibited an overall sensitivity of 81%, specificity of 98%, and an accuracy of 95%. After validation, training continued for 3 months, during which the dogs' performances remained the same. Gas chromatography/mass spectrometry (GC/MS) analysis revealed a unique sweat scent associated with SARS-CoV-2 positive sweat samples. This scent consisted of a wide variety of volatiles, including breakdown compounds of antiviral fatty acids, skin proteins and neurotransmitters/hormones. An acceptability survey conducted in Belgium demonstrated an overall high acceptability and enthusiasm toward the use of detection dogs for SARS-CoV-2 detection. Compared to qPCR and previous canine studies, the detection dogs have good performances in detecting SARS-CoV-2 infection in humans, using frozen sweat samples from the armpits. As a result, they can be used as an accurate pre-screening tool in various field settings alongside the PCR test.

Factors influencing the successful implementation of a novel digital health application to streamline multidisciplinary communication across multiple organisations for emergency care.

Delivering optimal patient health care requires interdisciplinary clinician communication. A single communication tool across multiple pre-hospital and hospital settings, and between hospital departments is a novel solution to current systems. Fit-for-purpose, secure smartphone applications allow clinical information to be shared quickly between health providers. Little is known as to what underpins their successful implementation in an emergency care context. To identify (a) whether implementing a single, digital health communication application across multiple health care organisations and hospital departments is feasible; (b) the barriers and facilitators to implementation; and (c) which factors are associated with clinicians' intentions to use the technology. We used a multimethod design, evaluating the implementation of a secure, digital communication application (Pulsara™). The technology was trialled in two Australian regional hospitals and 25 Ambulance Victoria branches (AV). Post-training, clinicians involved in treating patients with suspected stroke or cardiac events were administered surveys measuring perceived organisational readiness (Organisational Readiness for Implementing Change), clinicians' intentions (Unified Theory of Acceptance and Use of Technology) and internal motivations (Self-Determination Theory) to use Pulsara™, and the perceived benefits and barriers of use. Quantitative data were descriptively summarised with multivariable associations between factors and intentions to use Pulsara™ examined with linear regression. Qualitative data responses were subjected to directed content analysis (two coders). Participants were paramedics (n = 82, median 44 years) or hospital-based clinicians (n = 90, median 37 years), with organisations perceived to be similarly ready. Regression results (F(11, 136) = 21.28, p = <0.001, Adj R2 = 0.60) indicated Habit, Effort Expectancy, Perceived Organisational Readiness, Performance Expectancy and Organisation membership (AV) as predictors of intending to use Pulsara™. Themes relating to benefits (95% coder agreement) included improved communication, procedural efficiencies and faster patient care. Barriers (92% coder agreement) included network accessibility and remembering passwords. PulsaraTM was initiated 562 times. Implementing multiorganisational, digital health communication applications is feasible, and facilitated when organisations are change-ready for an easy-to-use, effective solution. Developing habitual use is key, supported through implementation strategies (e.g., hands-on training). Benefits should be emphasised (e.g., during education sessions), including streamlining communication and patient flow, and barriers addressed (e.g., identify champions and local technical support) at project commencement.

The potential of new models of construction procurement to counter cost overruns in construction projects: an exploratory study from a contractors’ perspective

PurposeCost overrun is a significant issue in construction, an undesirable feature the industry has long been associated with. Poor procurement practices are often blamed for subsequent cost overruns in construction, especially with conventional procurement methods leading to outrageous cost overruns. The purpose of this study is to review the features of the new models of construction procurement (NMCP) and assess their potential to reduce cost overruns in construction projects.Design/methodology/approachA literature review was conducted to identify the issues of procurement leading to cost escalations. Primary data were obtained through exploratory, semi-structured interviews using a case study approach.FindingsClients’ lack of knowledge was highlighted as a key issue in procurement that interlinks with many factors causing cost escalation. The findings suggest that the features contained within the NMCP, such as early contractor involvement and collaboration throughout the project team, have the potential to make a positive contribution to addressing cost escalation in construction.Research limitations/implicationsThe primary research was undertaken as an exploratory study and presents the contractor's perspective. Further research is therefore suggested, with multiple organisations representing all key stakeholders in a construction project, including clients, consultants, sub-contractors and suppliers.Practical implicationsThe study recommends awareness of the NMCP be raised throughout the industry, and simplified information must be made available to help widen uptake of these contemporary procurement methods.Originality/valueAddressing the dearth of research concerning the use of NMCP within the industry, this study makes a niche contribution to the body of knowledge on construction cost management by illustrating the potential offered by these new procurement methods for addressing cost escalation. For an industry where collaboration is accepted with reservations, this case study demonstrates how novel collaborative strategies such as open book costing, project bank accounts and shared pain and gain mechanisms can be implemented as part of the procurement strategy and how such strategies can contribute towards minimising the cost escalation inherent in construction projects.

Evaluating the blockchain-based healthcare supply chain using interval-valued Pythagorean fuzzy entropy-based decision support system

In the current era, blockchain technology has emerged as a novel technique to maintain the operations of healthcare management systems. The global COVID-19 disease has led to increase in the utilization of technology for healthcare supply chain, patient data management, and claims settlement. Data management in healthcare industry is a complex procedure where multiple organizations offer appropriate supply chain facilities in everyday life. Inadequate data handling disrupts the supply chain, which has a longstanding impact on the healthcare region. Blockchain-based solutions are renowned for their ability to produce safe and traceable results and effective in the health sector for secure data retrieval and storage, resulting in more effectual product creation and tracking. These technologies can deliver data provenance, sponsors candid healthcare industry demands, and certifies the immutability of multi direction transactions. Due to involvement of multiple factors/criteria, the selection of an effective blockchain platform-based healthcare supply chain can be treated as a decision support system (DSS) problem. Thus, the objective of this paper is to present a novel interval-valued Pythagorean fuzzy DSS for evaluating the blockchain platforms for healthcare supply chain and selecting a suitable one with respect to multiple criteria and uncertainty. The proposed DSS framework is divided into three stages. First, some fairly aggregation operators are presented to combine the individual’s information and also discussed their desirable characteristics on interval-valued Pythagorean fuzzy sets (IVPFSs). Second, an integrated weighting tool is developed using entropy-based tool for objective weight of criteria and pivot pairwise relative criteria importance assessment (PIPRECIA) model for subjective weight of criteria with IVPFSs. For this purpose, new entropy is presented on IVPFSs. Third, the multi-attribute ideal-real comparative analysis (MAIRCA) model is developed with the combination of fairly aggregation operators, entropy-based weighting tool and PIPRECIA model with interval-valued Pythagorean fuzzy information. Further, the proposed DSS is used on a case study of blockchain platforms for healthcare supply chain evaluation, which confirms its applicability and usefulness. Sensitivity and comparative assessments are carried out to check the consistency, robustness and efficiency of the presented method.

Socially Responsible Artificial Intelligence Empowered People Analytics: A Novel Framework Towards Sustainability

Series of reports on AI misconduct from multiple renowned organizations have triggered a surge of public awareness, calling for more responsible and sustainable use of AI. Noting socially responsible AI (SRAI) as a new concept in the field of PA and HRD, we delved into the subject through an integrative literature review of 75 articles and incorporated three sustainability concepts into AI-enabled PA: corporate social responsibility (CSR), environment, social, and governance (ESG), and UN sustainable development goals (SDGs). Through a stakeholder view, we identified major SRAI stakeholders (subjects) and analyzed their essential considerations (objectives), the impediments of AI technology (causes), and the solutions (means). The analysis illuminated key requirements and considerations for enhancing AI-enabled PA to SRAI-empowered PA towards sustainability. Moreover, we proposed a holistic framework to thoroughly understand SRAI in theory and provided practical implications, recommendations, and future research directions for HRD scholars and professionals.

Evaluation of Temporal and Spatial Distribution of Radio Frequency Electromagnetic Fields (RF-EMF) Exposure Levels in Sabzevar, Iran

Objectives: In recent years, investigating the possibility of health risks due to exposure to radio frequency electromagnetic field (RF-EMF) values has become an important research priorities. The main study goal was to evaluate the temporal and spatial exposure levels of power density (S) from BTS antennas in Sabzevar city. In addition, this study investigated the difference in power density between the suburbs and downtown, as well as between different microenvironments. Methods: The power density values were measured at three distances from the BTS antennas and at three different time intervals. S values were measured using a TES 593 electrosmog meter. The General linear model repeated measurement tests and Mann-Whitney U test were used to measure the objectives. The Inverse Distance Weighted method was used to draw the spatial distribution map. Results: Significant differences between the values of S Avg and S max Avg were detected based on distance from the BTS antennas, time measured, and type of location. For hospital, residential, residential-educational, residential-park, and residential-shopping, the average values of S Avg were 0.37, 1.15, 1.80, 1.89, and 1.94 W/m2 , respectively, and the average values of S max Avg were 0.43, 2.64, 2.54, 2.59, and 2.64 W/ m2 , respectively. There was a significant difference between S Avg and S max Avg values by microenvironment. Conclusions: Comparison of the all of the measured values of S in this study with the limits set by multiple organizations indicated that the residents of Sabzevar city are not exposed to levels considered to pose a risk.

Experience and Impact of COVID-19 on a Newly Formed Rural University Medical Office: Survey Study.

The COVID-19 pandemic had large social effects, particularly in the fields of medicine and medical education. Medical organizations in the United States operate in overlapping contexts with interrelated goals inside multiple organizations, and the context of work strongly influenced how organizations were able to respond to COVID-19 restrictions. This research examines the experience and impact of COVID-19 on the implementation of a Health Resources and Services Administration grant in a newly formed university medical office with the interrelated goals of health policy, health outreach, and medical education. The goal is to understand how COVID-19 created different experiences and challenges for leaders and their collaborators working in medical education compared to those working in public health outreach or health policy. A survey about COVID-19 opportunities and challenges was administered to work unit leaders and their project collaborators. The most common experiences and challenges are shown, direct educational and other respondents' experiences and challenges are compared, and open-ended comment segments are analyzed. Helping others adjust to digital work, remoteness, and coordination were common experiences during COVID-19. Common challenges include coordination and an inability to make comparisons to previous program years. On average, respondents had 11.3 (SD 7.8) experiences and 8.3 (SD 6.9) challenges considered in the survey. While all units were influenced by COVID-19 restrictions, medical education units had more experiences and challenges. Those involved directly in medical education experienced 69% (18.6/27) of their possible experiences and 54% (14.7/27) of their possible challenges on average compared to 35% (7/20) and 21% (4.2/20) among other respondents (P<.001). COVID-19 restrictions increased the complexity of project work and presented challenges, especially in terms of coordinating responses and access to locations. The findings suggest that COVID-19 made the overall administration of programs more complex and drew attention from other medical and public health programs. While remoteness is appropriate for some medical education tasks, it is less appropriate for clinical learning. Remoteness presents an especially large challenge to clinical education. Employees now have expectations for remoteness to be built into programs and workplaces. Program administrators will have to integrate remoteness' benefits and drawbacks into their organization for the foreseeable future.

Protocol for the 2023 CERA Clerkship Director Survey.

CERA, the Council of Academic Family Medicine Educational Research Alliance, is a unique collaboration between multiple family medicine organizations to conduct omnibus surveys of distinct groups within family medicine. CERA's vision is to support excellence in family medicine educational research and improve research skills in family medicine. This paper describes the methods of the 2023 Clerkship Directory Survey and presents the demographic results of survey respondents. CERA's call for proposals for the annual Clerkship Directory Survey opened from January 2023 to February 2023. Five topics were selected, and authors of the selected proposals had a mentor assigned to their project. The survey was sent to Clerkship Directors via SurveyMonkey (Momentive, Inc) on May 30, 2023 and responses were collected through June 30, 2023. χ2 tests were used for descriptive analysis. The survey was initially sent to 179 potential respondents but after receiving updated clerkship information, the final pool size was 169 (163 United States, 16 Canada). Ninety-six clerkship directors completed the survey, with a response rate of 56.80% (96/169). The demographic data of potential clerkship director respondents were compared with the demographic data of actual respondents. There were no significant difference in demographic data including location, gender, race/ethnicity and underrepresented in medicine status. This paper describes the methods of the 2023 CERA Clerkship Directory Survey and shows that survey respondents are representative of clerkship directors. Authors of the five accepted survey topics are responsible for publishing their study findings.

Adapted Kaizen: Multi-Organizational Complex Process Redesign for Adapting Clinical Guidelines for the Digital Age.

The need for a method to examine complex, multidisciplinary processes involving many diverse organizations initially led multiple US federal agencies to adopt the traditional Kaizen, a Lean process improvement method typically used within a single organization, to encompass multiple organizations each with its own leadership and priorities. First, the Centers for Medicare and Medicaid Services and the Office of the National Coordinator for Health Information Technology adapted Kaizen to federal agency processes for the development of electronic clinical quality measures. Later, the Centers for Disease Control and Prevention (CDC) further modified this adapted Kaizen during its Adapting Clinical Guidelines for the Digital Age (ACG) initiative, which aimed to improve the broader scope of guideline development and implementation. This is a methods article to document the adapted Kaizen method for future use in similar complex processes, illustrating how to apply the adapted Kaizen through CDC's ACG initiative and showing the reach achieved by using the adapted Kaizen method. The adapted Kaizen includes pre-Kaizen planning, a Kaizen event, and post-Kaizen implementation that accommodate multidisciplinary and multi-organizational participation. ACG included 5 workgroups that each developed products to support their respective scope: Guideline Creation, Informatics Framework, Translation and Implementation, Communication and Dissemination, and Evaluation. Despite challenges gathering diverse perspectives and balancing the competing priorities of multiple organizations, the ACG participants produced interrelated standards, processes, and tools-further described in separate publications-that programs and partners have leveraged. Use of a siloed approach may not have supported the development and dissemination of these products.

Evaluating Informal Science Education Centers in the Southern Appalachians

abstract: The southern Appalachian region is a hotspot of ecological biodiversity that is under increasing threat from climate change and rapid population growth. We posit that informal science education is uniquely adapted to foster environmental stewardship in the region, but the current state of informal science education within the southern Appalachians is poorly understood. We reviewed current informal science education centers (ISECs), which we define as centers for science learning outside of structured curriculum ( n = 166). For each of these centers, we compiled information on geographical location, programs offered, and funding sources. We found large geographic gaps in ISEC coverage that often aligned with low-population, low-income counties. The most common program type in our dataset was field trips, followed by public programming, while research and virtual programming were the least often offered. ISECs that had funding from multiple organizations generally had the most diverse and robust programming.

Modeling a Scenario-Based Approach for Foresight Pharmaceuticals

Foresight plays a crucial role in strategic decision-making and planning. By envisioning multiple future scenarios, individuals and organizations can identify potential risks, opportunities, and challenges. Foresight enables proactive decision-making by considering long-term consequences and developing strategies that align with future trends. Artificial Intelligence (AI) has emerged as a powerful tool in the field of forecasting, enabling businesses and organizations to make more accurate predictions and informed decisions. AI algorithms have the capability to analyze vast amounts of data, identify patterns, and extract insights that humans might overlook. This study exemplifies the application of data AI in creating predictive models, aiding businesses in making well-informed choices. We carried out an exploratory data analysis on the pharmaceutical data to find patterns and trends in the dataset. The EDA was also used in finding relationship between the variables on the dataset. We made future forecast on the dataset for finding the trends on the dataset and forecasting future sales and revenue. Before, we do that, we carried out a statistical test on the dataset to check for accepted and rejected hypothesis. The result of the statistical test was carried out using AdaFuller test, and finally out a seasonal forecast and trends of the sales/revenue generated.

A Comprehensive Analysis of Legislative Strategies for New Psychoactive Substances: The Brazilian Panorama

Over the last decades, new psychoactive substances (NPSs) have established a new pattern of drug synthesis and distribution. These compounds brought with them several challenges, including their analytical determination by known methodologies, the uncertainty of their toxicological effects, and the possible approaches used for control. In Brazil, the control of NPS started with a nominal list of proscribed compounds. But the variety of substances was so large that other strategies were implemented. Generic legislation was created as several groups began to emerge, such as phenethylamines, synthetic cathinones, and synthetic cannabinoids. The legislation also began to include salts and isomers of all listed substances and precursor chemical ingredients or plants that may be used to produce them. Those substances are known for the unpredictability of their effects, causing a wide range of symptoms, including seizures, aggression, and acute psychosis. Users under effect represent a high risk for themselves and others. In this study, we present an overview of the timeline in which NPSs were detected in Brazilian territory and the legislative approaches. A complete literature search was performed using PubMed, Scopus, the World Wide Web and Brazilian governmental websites employing relevant keywords such as NPS, legislation, and Brazil. Even with the high volume of legislative measures, the race against NPS intoxication cases and apprehensions continues to be fierce. There are limitations in the process of detection, identification, and prohibition of the substances in the country that demand a multifactorial approach, stronger public health measures, scientific research, as well as harm reduction strategies. Nevertheless, the Brazilian scenario on NPS arrival reflects a worldwide problem faced by many countries. In conclusion, it is stated that the use of multiple legislative strategies such as prohibition lists and generic controls can provide for better regulation of the NPS problem. However, this issue needs to be addressed by multiple organizations, including police departments and the public health system, and that effort needs to be coordinated and standardized for all Brazilian Federal states.

Examining generational differences as a moderator of extreme-context perception and its impact on work alienation organizational outcomes: Implications for the workplace and remote work transformation.

There is no doubt that extreme contexts (e.g., war zones and pandemics) represent substantial disruptions that force many companies to rethink the way they do business. With so much of the workforce now working remotely and concerns about resulting work alienation, we must ask this question: How can this be translated into the generational divide in workplaces based in extreme contexts? Using COVID-19 as an example trigger of extreme-context experience, therefore, we investigate generation as a moderator of the effects of extreme-context perception upon anxiety leading to alienation with subsequent behavioral outcomes on job insecurity, job satisfaction, and organizational citizenship behavior (OCB). A time-lagged survey procedure yielded 219 valid responses from a three-generation sample of employees working in multiple service organizations. The data were analyzed using partial least squares structural equation modeling (PLS-SEM). Our analysis suggested that intense extreme-context perception led to elevated anxiety and alienation, which, in turn, heightened job insecurity and worsened job satisfaction and OCB outcomes. Finally, during the experience of extreme-context times, generation was found to moderate our model, such that both Generation Y and Generation Z experienced higher anxiety due to extreme-context perception and hence higher job insecurity due to alienation compared with Generation X respondents. Our results endorse the criticality of implementing agile and generationally non-sectarian management for effectively functioning generationally diverse workforces in pandemic times.

Intertidal limits shape covariation between metabolic plasticity, oxidative stress and telomere dynamics in Pacific oyster (Crassostrea gigas)

In intertidal zones, species such as sessile shellfish exhibit extended phenotypic plasticity to face rapid environmental changes, but whether frequent exposure to intertidal limits of the distribution range impose physiological costs for the animal remains elusive. Here, we explored how phenotypic plasticity varied along foreshore range at multiple organization levels, from molecular to cellular and whole organism acclimatization, in the Pacific oyster (Crassostrea gigas). We exposed 7-month-old individuals for up to 16 months to three foreshore levels covering the vertical range for this species, representing 20, 50 and 80% of the time spent submerged monthly. Individuals at the upper range limit produced energy more efficiently, as seen by steeper metabolic reactive norms and unaltered ATP levels despite reduced mitochondrial density. By spending most of their time emerged, oysters mounted an antioxidant shielding concomitant with lower levels of pro-oxidant proteins and postponed age-related telomere attrition. Instead, individuals exposed at the lower limit range near subtidal conditions showed lower energy efficiencies, greater oxidative stress and shorter telomere length. These results unraveled the extended acclimatization strategies and the physiological costs of living too fast in subtidal conditions for an intertidal species.

The moderating effects of relative racio-ethnicity on the inclusion to health to turnover intentions relationship

PurposeThis study extends work on the role of the organizational context in contributing to employee health by investigating whether an employee's status as a racio-ethnic minority in his or her work group will moderate the relationship between perceived work group inclusion and health, which in turn will predict turnover intentions.Design/methodology/approachData were collected from two samples of full-time employees across multiple organizations. Hypotheses were tested using Hayes's (2013) PROCESS macro in SPSS.FindingsSupport was found for moderation with regard to perceived inclusion predicting negative health but not positive health. Both negative health and positive health predicted turnover intentions.Research limitations/implicationsFindings support the importance of perceived inclusion for employee health, and the research extends prior studies that have been conducted in non-work settings.Practical implicationsProviding a work environment in which work group members perceive inclusion could be useful in terms of reducing health issues for employees, especially for those who are racio-ethnic minorities in their work group.Originality/valueThis study extends prior work by investigating relative minority status within the work group, and it highlights the potential impact of inclusion on employee health.

Network Gains from Co-Affiliation with Multiple Organizations: Insights from Academic Careers

Network Gains from Co-Affiliation with Multiple Organizations: Insights from Academic Careers

Implications of Sleep Health Policy: Daylight Saving and School Start Times.

Two proposed public policies, ending seasonal clock change with a transition to permanent Standard Time and moving middle school and high school start times later, are population-based initiatives to improve sleep health. Daylight Saving Time and early school start times are associated with reduced sleep duration and increased circadian misalignment, the effects of which impact not only long-term health outcomes including obesity, cerebrovascular and cardiovascular disease, and cancer, but also mental health, academics, workforce productivity, and safety outcomes. This article highlights studies that led to the endorsement of these public policies by multiple scientific and medical organizations. Neurologists should advocate at the state and federal levels and educate the population about the importance of sleep health.

ALFP Debate: Pharmacy Practice Needs Pharmacy Schools to Drive Innovation in the Profession

ObjectiveTo describe the pros and cons of the topic “pharmacy practice needs pharmacy schools to drive innovation in the profession.” MethodsThe Academic Leadership Fellows Program (ALFP) contributes to developing leaders in the academy. ALFP Fellows participate in a debate on current topics in academic pharmacy. Cohort 19 Pro- and Con-Teams of the “innovation” debate separately conducted literature searches including terms “innovation, pharmacy/clinical practice, drivers,” and accessed information from multiple national pharmacy organizations, and expert opinion from faculty, association members, and practitioners. ResultsThe Pro- and Con-Teams each had three central conclusions. The Pro-Team proposed first that pharmacy schools prepare future pharmacists to be life-long learners and change-agents. Second, pharmacy schools have resources/expertise to engage in innovation. Third, seminal partnerships such as the Academia-CPESN Transformation Pharmacy Collaborative, are crucial for innovations to be successful. The Con-Team proposed first that successful and usable practice innovations include a business model built on the innovation being feasible and sustainable. Second, ACPE 2016 standards suggest pharmacy schools are facilitators of innovation, not drivers, because they are not expected to train students to develop innovative practices. Third, academic pharmacy is often reactive to practice, not proactive. Innovative topics are rarely taught in schools due to lack of academic experts, heavy workloads, and other challenges. ConclusionsPharmacy schools and practice do not operate independently nor innovate separately. The first priority of the American Association of Colleges of Pharmacy’s Strategic Plan is to lead the transformation of pharmacy practice. Representatives of practice and academia must work together to foster this culture of transformation by seeking, developing, implementing, and evaluating progressive, contemporary, and innovative ideas and practices that reflect the shared perspectives of both entities.

Improvement of Government Leadership for Climate Crisis Response: Focusing on New Media Communication

This study aims to enhance government leadership in responding to the climate crisis by strengthening the application of new media communication. In the era of new media, we can get climate information quickly and easily, which brings new opportunities and challenges for the government to deal with the climate crisis. There are many deficiencies in the government's new media services in response to the climate crisis. The content and ways of communication are relatively simple, and the ability to interact with the public is insufficient; failure to establish cooperation mechanisms with multiple organizations; the ability and quality of the government to make use of new media to publicize the climate crisis should be improved; government needs to improve its level of political inquiry and handling through new media. Therefore, we suggest that the government should make reasonable use of new media to increase the publicity of the climate crisis, leverage external forces to diversify the response to the climate crisis, establish a new media public communication platform, and improve the awareness and ability of government personnel to use new media.