Sector Management Research Articles

Artificial Intelligence in Modernization of Pharmaceutical and Healthcare Industry: A Review

: Artificial intelligence (AI) falls under the purview of computer technology, which analyzes complex data and helps solve problems in different segments. Big Data, Machine Learning, and AI are currently being used by the major pharmaceutical industries to minimize time and costs and increase possibilities. Artificial intelligence is used in the pharmaceutical industry in diverse ways, such as drug discovery and development, clinical trials, disease diagnosis, and different stages in pharmaceutical manufacturing, data analysis, and supply management. Most of the cost and time are involved in drug discovery and clinical trials. Artificial intelligence can minimize human error in data processing, documentation, data integrity issues, and data selection throughout the journey. It works in descriptive, diagnostic, predictive, and prescriptive mode. Major pharmaceutical conglomerates like Pfizer, Roche, Novartis, and Johnson & Johnson have already applied Artificial Intelligence in different segments of pharmaceutical and medicinal science. Tech companies like IBM Watson, Catalia Health, Intel, Microsoft, and Google, in collaboration with pharmaceutical companies, are working in the different areas of drug discovery, early diagnosis, and personalized medicine. Further, AI finds application in the health sector for data management, scanning and evaluation of medical history reports, and finding optimum treatment strategies for chronic care patients. Though lots of research and development are being done on the utilization of artificial intelligence in the pharmaceutical industry, it is still in the nascent stage. This article is our endeavor to study, in detail, the present and future opportunities of machine learning and AI in the pharmaceutical industry as a whole.

Estimation of Ammonia Emission Inventory Using Life Cycle Assessment Based on Livestock Manure Flow: A Case Study of the Manure Management Sector in Korea

Ammonia is one of the precursor gases in the formation of particulate matter (PM) that reacts with nitrogen oxides and sulfur oxides in the atmosphere. Based on the Clean Air Policy Support System (CAPSS) of Korea, the annual ammonia emissions amounted to 261,207 tons in 2020 and the agricultural source (manure management sector) contributes the highest proportion of the ammonia inventory. However, the methodology for the study of ammonia emissions in Korea has some limitations regarding the representativeness of the sites selected and the reliability of the measurement method. In this study, we aimed to recalculate the ammonia emissions from the livestock industry in Korea using the UK’s estimation method, which uses the life cycle assessment of livestock manure. Three major animal types, i.e., cattle (beef cattle and dairy cows), pigs and chickens, and three major processes based on the manure flow, i.e., housing, manure storage and treatment and land application processes, were considered. The total ammonia emissions were estimated to be approximately 33% higher than the official ammonia emissions stated by the CAPSS. For the manure flow, the ammonia emissions were the highest from land application processes. The ammonia emissions from dairy cow and poultry manure were much higher than those stated by the CAPSS, while the emissions from beef cattle and pig manure showed similar levels. The methodology used in this study can offer an alternative approach to the ammonia emission estimation of the manure management sector in the agriculture industry of Korea. Korean emission factors based on the manure flow should be developed and applied in the future.

The Influence of Leadership Style, Organizational Culture, Policy Implementation, and Community Participation on Public Service Efficiency and Employee Satisfaction in Indonesian Local Government

This study examines the impact of leadership style, organizational culture, policy implementation, and community participation on the efficiency of public services and the happiness of employees in local government in Indonesia. The study involves a quantitative analysis with a sample size of 250 participants. It utilizes a Likert scale ranging from 1 to 5 and leverages Structural Equation Modeling-Partial Least Squares (SEM-PLS 3) for data analysis. The findings demonstrate that all connections are both positive and statistically significant, emphasizing the crucial functions these parameters fulfill in public administration. Leadership style, corporate culture, policy execution, and community participation have a major positive impact on both public service efficiency and employee happiness. The findings provide significant theoretical contributions to the comprehension of public sector management and present practical implications for policymakers and practitioners seeking to enhance public service performance and employee morale.

Ecological and socio-economic factors influence stand biodiversity

Biodiversity is associated with functional protection, adaptation to external conditions, and ecosystem resilience. Therefore, maintaining forest ecosystems with high biodiversity is essential for improving resistance and resilience to disturbances. In addition to the ecological factors influencing forest ecosystems, various socio-economic factors associated with forests can influence the ecosystem. However, socio-economic impacts on forest biodiversity have rarely been addressed. In this study, we investigated whether tree species diversity (TSD) of forest stands varies with ownership status (national vs. private forests). In addition, selected ecological (stand characteristics, site conditions, and climate) and socio-economic (regional forest management sectors, population, forestry population, forest coverage, and forestry income) factors influencing TSD were determined using data from the National Forest Inventory in South Korea. National forests had higher TSD than private forests, reflecting differences in management objectives. Among ecological factors, stand structural diversity (SDivI) was the most influential in both national and private forests. Socio-economic factors, such as population, forest coverage, forest income, and forest management bodies, significantly influenced the TSD, although the impact was smaller compared to ecological factors. Our results suggest that securing stand growth and development is essential for increasing stand structural diversity, which leads to an increase in TSD. Furthermore, our study shows that socio-economic factors can influence forest conditions over time. To better understand the factors influencing the state of forests and manage forests sustainably in the future, collaborative research bridging ecological and sociological fields is necessary.

A bottom-up approach for greenhouse gas emission estimation at the community level: A case study in Japan

Greenhouse gas (GHG) emission mitigation and climate change adaptation in urban communities are urgent. There is enormous potential to improve the GHG inventory at the community level. This research aims to develop a community-scale GHG emission inventory and improve its accuracy and consistency through a bottom-up approach. This study covers direct and indirect emissions categorized into three scopes and selects the Honjo Waseda community in Japan as a case study community. Energy consumption from different sectors (the residential and commercial, transport, and waste management sectors) is evaluated and calculated through Residential Energy Estimation based on the Daily Activities (REEDA) database, National Census, and first-hand field data. The outcome revealed that the residential and commercial sector emissions rank highest in the total GHG emissions of the community, with a value of 39 %. Translated into the scope concept, the emissions under scopes 2 and 3 account for 39 % and 61 %, respectively. Furthermore, a sensitivity analysis of the implementation of green technologies to reduce GHG emissions is also conducted. Mechanical biological treatment (MBT) implementation could yield the largest emission reduction (18 %–22 %), followed by implementing electric vehicles, ultralightweight vehicles, photovoltaic systems, and ground heat utilization.

Exploring the role of cultural diversity as a mediator in tactical leadership and inventiveness

The goal is to determine how cultural diversity, acting as a mediator between different cultures, influences creativity in the Indian police management sector. The Indian police administration's information from staff members was gathered using a quantitative research technique and survey methodologies. To ensure that the workers' responses were accurate, the self-administrative surveys were sent out. As a result, 380 surveys were dispersed among the 80 branches mentioned, and 300 valid responses were gathered. In this study, the anticipated characteristics and the identifiable characteristics were projected to an unfamiliar environment to analyze the regression approach and verify the hypothesis. The results of this research have demonstrated the variables' dependability and validity to support this investigation. According to this study, values support innovative leadership and innovation strategies, tactical inventiveness and leadership. The framework has made an essential contribution to the Indian police administration's subsequent growth.

Public sector health analytics capacity before and after Covid-19: A case study of manager perspectives in New Brunswick, Canada

BackgroundDemand for health data and analytics to support research, policy, and practice continues to rise, accelerated by the Covid-19 pandemic. Despite the importance of the government analytics workforce in driving academic-based data sharing and linkage platforms, little is known about how public sector managers assess capacity in health analytics. This case study describes findings from consultations among middle managers of analytics services in a Canadian provincial health ministry. MethodsData collection involved a mixed-questions survey to gauge the functional perspective of managers on organisational and human resource analytics capacity within the New Brunswick Department of Health. The repeated cross-sectional survey was implemented in two rounds, with a baseline collected before the Covid-19 global outbreak (in 2016) and a follow-up after the pandemic emergency response (in 2022). ResultsThe post-pandemic period was associated with perceptions of a growing role for public service personnel in handling analytics. Recruitment and retention of skilled analytics professionals emerged as the top priority for capacity building, including needs-based planning, competitive compensation packages to address skills shortages, professional development and promotion opportunities, and tracking key performance indicators for employee satisfaction. ConclusionsGovernment health analytics professionals play a critical role in advancing administrative data use and re-use. Enhanced knowledge sharing is needed on best practices in supply--demand monitoring for analytics professionals and planning for human resources surge capacity in the public service, lest significant innovation potential for health system improvement be left untapped.

Multi-criteria sustainability assessment of solid waste management in Jordan

This study comprehensively evaluates Jordan's municipal solid waste (MSW) management sector from 2022 to 2030, in alignment with Jordan Vision 2030. This study introduces new sustainability indicators and innovative waste management alternatives to address the challenges of rapid industrialization and population growth. Four strategic scenarios—1) recycling, composting, and sanitary landfilling; 2) recycling, anaerobic digestion, and sanitary landfilling; 3) incineration and sanitary landfilling; and 4) sanitary landfilling alone—were assessed against the business-as-usual scenario. Using multi-criteria decision analysis (MCDA) and sensitivity analysis, this study evaluates net greenhouse gas emissions, annual operating expenses, revenue streams, and employment rates to measure environmental, economic, and social sustainability. The results indicate that Scenario 1 is the optimal scenario for integrating a material recovery facility (MRF) with a composting plant and sanitary landfill, achieving the lowest greenhouse gas emissions, annual costs, and employment opportunities. This study offers practical and sustainable solutions to Jordan's waste management challenges, provides novel insights through the developed MCDA and sensitivity analysis, and significantly contributes to sustainability research.

Recycling of Blended Fabrics for a Circular Economy of Textiles: Separation of Cotton, Polyester, and Elastane Fibers

The growing textile industry is polluting the environment and producing waste at an alarming rate. The wasteful consumption of fast fashion has made the problem worse. The waste management of textiles has been ineffective. Spurred by the urgency of reducing the environmental footprint of textiles, this review examines advances and challenges to separate important textile constituents such as cotton (which is mostly cellulose), polyester (polyethylene terephthalate), and elastane, also known as spandex (polyurethane), from blended textiles. Once separated, the individual fiber types can meet the demand for sustainable strategies in textile recycling. The concepts of mechanical, chemical, and biological recycling of textiles are introduced first. Blended or mixed textiles pose challenges for mechanical recycling which cannot separate fibers from the blend. However, the separation of fiber blends can be achieved by molecular recycling, i.e., selectively dissolving or depolymerizing specific polymers in the blend. Specifically, the separation of cotton and polyester through dissolution, acidic hydrolysis, acid-catalyzed hydrothermal treatment, and enzymatic hydrolysis is discussed here, followed by the separation of elastane from other fibers by selective degradation or dissolution of elastane. The information synthesized and analyzed in this review can assist stakeholders in the textile and waste management sectors in mapping out strategies for achieving sustainable practices and promoting the shift towards a circular economy.

Surface Flux Patterns of Nutrient Concentrations and Total Suspended Solids in Western Carpathian Stream within Agricultural, Forest, and Grassland Landscapes

The intricate processes of surface water erosion are vital for ecological systems and river-scale management; yet, understanding them comprehensively remains a challenge. Forested agricultural catchments, especially in the Carpathian region, face significant degradation, potentially leading to inorganic nutrient leaching and total suspended solid (TSS) flux. Continuous rainwater inundation of soils in river valleys exacerbates this issue. Utilizing innovative tools like SWAT+, studies have revealed higher concentrations of inorganic nutrients in main watercourses from flysch catchments, with agricultural use linked to N-NO3− concentrations and pasture use linked to anion P-PO43−. Maintaining detailed records is crucial for researchers comparing data. SWAT+ proves valuable for studying TSS washing out and inorganic nutrient leaching, informing collaborative watershed management policies involving stakeholders from agriculture, conservation, and water management sectors. The insights on nutrient leaching, particularly phosphorus (P) and nitrogen (N), are instrumental for shaping policies targeting nutrient pollution within pasture land use for EU agriculture. These findings can guide policy frameworks focused on sustainable practices, especially for eco-schemes, and encourage collaborative watershed management efforts.

Technological innovations in accounting for food supply chain management

The food supply chain management sector has undergone significant transformations in recent years, largely driven by technological innovations aimed at enhancing efficiency, transparency, and sustainability. This review delves into the burgeoning realm of technological advancements in accounting within the food supply chain management domain. Technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and big data analytics have revolutionized traditional accounting practices in the food supply chain. Blockchain technology, for instance, has emerged as a promising solution for enhancing transparency and traceability throughout the supply chain by providing an immutable ledger of transactions. This ensures the authenticity of data related to food products, from origin to consumption, thus mitigating risks associated with fraud and food safety incidents. Moreover, the integration of IoT devices enables real-time monitoring of various parameters such as temperature, humidity, and location, thereby ensuring optimal conditions for food transportation and storage. This not only minimizes wastage but also enhances the overall quality and freshness of food products. Artificial intelligence and machine learning algorithms play a pivotal role in optimizing inventory management and demand forecasting processes. By analyzing vast amounts of historical data and current market trends, these technologies facilitate accurate predictions of consumer demand, thereby reducing stockouts and overstocking scenarios. Furthermore, big data analytics enables stakeholders to derive valuable insights from large datasets generated across the supply chain. These insights aid in identifying inefficiencies, optimizing resource allocation, and making data-driven decisions to enhance profitability and sustainability. However, despite the numerous benefits offered by technological innovations in accounting for food supply chain management, challenges such as data security, interoperability, and the need for skilled personnel remain significant hurdles to widespread adoption. Addressing these challenges will be crucial in harnessing the full potential of technology to create a more resilient, transparent, and sustainable food supply chain ecosystem. In conclusion, technological innovations in accounting have emerged as key enablers in revolutionizing the food supply chain management landscape. By leveraging blockchain, IoT, AI, and big data analytics, stakeholders can unlock new opportunities for enhancing efficiency, transparency, and sustainability throughout the food supply chain. Keywords: Accounting, Food, Supply Chain, Management, Technology, Innovation, Review.

Technological innovations in accounting for food supply chain management

The food supply chain management sector has undergone significant transformations in recent years, largely driven by technological innovations aimed at enhancing efficiency, transparency, and sustainability. This review delves into the burgeoning realm of technological advancements in accounting within the food supply chain management domain. Technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and big data analytics have revolutionized traditional accounting practices in the food supply chain. Blockchain technology, for instance, has emerged as a promising solution for enhancing transparency and traceability throughout the supply chain by providing an immutable ledger of transactions. This ensures the authenticity of data related to food products, from origin to consumption, thus mitigating risks associated with fraud and food safety incidents. Moreover, the integration of IoT devices enables real-time monitoring of various parameters such as temperature, humidity, and location, thereby ensuring optimal conditions for food transportation and storage. This not only minimizes wastage but also enhances the overall quality and freshness of food products. Artificial intelligence and machine learning algorithms play a pivotal role in optimizing inventory management and demand forecasting processes. By analyzing vast amounts of historical data and current market trends, these technologies facilitate accurate predictions of consumer demand, thereby reducing stockouts and overstocking scenarios. Furthermore, big data analytics enables stakeholders to derive valuable insights from large datasets generated across the supply chain. These insights aid in identifying inefficiencies, optimizing resource allocation, and making data-driven decisions to enhance profitability and sustainability. However, despite the numerous benefits offered by technological innovations in accounting for food supply chain management, challenges such as data security, interoperability, and the need for skilled personnel remain significant hurdles to widespread adoption. Addressing these challenges will be crucial in harnessing the full potential of technology to create a more resilient, transparent, and sustainable food supply chain ecosystem. In conclusion, technological innovations in accounting have emerged as key enablers in revolutionizing the food supply chain management landscape. By leveraging blockchain, IoT, AI, and big data analytics, stakeholders can unlock new opportunities for enhancing efficiency, transparency, and sustainability throughout the food supply chain. Keywords: Accounting, Food, Supply Chain, Management, Technology, Innovation, Review.

Epiphytic Dynamics of the Adaptations to the Changes of Habitats in Taï National Park

Anthropogenic pressures in the eastern zone of the Taï National Park have led to the fragmentation of plant formations. The forests in the eastern part of the park have suffered significant degradation of plant cover and a significant loss of biodiversity. Therefore, this study makes it possible to contribute to monitoring the dynamics of reconstitution of the plant cover based on the ecological characteristics and the distribution of epiphytes present in the Djapadji management sector. Floristic inventories were carried out. In the plots, all trees with a DBH ≥ 5 cm were counted and recorded for the study of the structure of plant formations, all species carrying an epiphyte were recorded and the epiphyte was identified. The analysis of the data presents a flora composed of 26 epiphytes distributed in 18 genera and 9 families, mainly present in mountain forests. The diversity of epiphytic plants is highest in mountain forests, followed by hydromorphic, secondary and gallery forests. Strict epiphytes and Hemiepiphytes are more present in the most preserved habitats, while accidental epiphytes are observed in reconstitution biotopes. The distribution of epiphytic plants allows us to affirm that the formerly anthropized forests of the Djapadji sector present a good dynamic of reconstitution.

Green Intellectual Capital: A Multidimensional Approach to Sustainable Performance Waste Recycling Management in Algeria

This research investigated the relationship between the green intellectual capital (GIC) and the sustainable performance in Algeria’s waste recycling management sector. Acknowledging the importance of Global Information Communication (GIC) in achieving organizational success, this research investigates how it is utilized and its effects. Using structural equation modeling (SEM) with the PLS-V3 software, the study examines information gathered from 400 entrepreneurs who oversee waste recycling businesses in Algeria. The study focused on three primary components of GIC: green relational capital, green structural capital, and green human capital. The hypotheses were formulated to assess the influence of each component on sustainable performance. The results supported all four proposed hypotheses, showing a positive link between the Green Intellectual Capital (GIC) and the sustainable performance. Specifically, the combined effects of relational, structural, and human capital enhanced sustainability outcomes. The research showed the significance of the waste recycling industry implementing strategies that make the most of Green Intangible Capital (GIC) elements. This includes connecting with stakeholders who prioritize environmental preservation, sharing knowledge, and working together. Green structural capital refers to the systems and processes that support eco-friendly practices, like environmental management systems and sustainable supply chain management. Green human capital focuses on employees' skills and knowledge in sustainability, highlighting the importance of training and opportunities for professional development. This study adds value to existing knowledge by clarifying how GIC plays a role in fostering a future. It offers insights for waste recycling firms, policymakers, and other interested parties in Algeria and beyond. By emphasising the significance of GIC in achieving performance, this research provides practical implications for crafting strategies and policies that leverage green intellectual assets for economic and environmental advantages. The study underscored organisations’ need to invest in nurturing their GIC to promote sustainable business practices and attain enduring success.

The managers' perspectives on service providing in women's harm reduction centers during the COVID-19 pandemic: mixed method study

BackgroundThe COVID-19 pandemic posed significant challenges for managers overseeing women's harm reduction centers. This study seeks to capture managers' perspectives on the service providing in women's harm reduction centers during the COVID-19 pandemic.MethodsThis convergent mixed-method study conducted in three provinces of Iran: Tehran, Khuzestan, and Kermanshah. The study was carried out between January and May 2023. In the quantitative part, the researchers utilized reports from 10 center managers. A researcher-designed questionnaire was employed to collect data on a wide range of services and referrals provided by the centers. The qualitative part of the research involved conventional content analysis and included 12 individual interviews. Two directors from the Ministry of Health and ten managers of women’s harm reduction centers participated in the interviews. During the interpretation phase, the researchers compared the quantitative and qualitative findings to obtain a comprehensive understanding of the topic.ResultsDuring the quantitative stage of the study, it was observed that all the managers were women, with an average age of 40.7 ± 7 years. More than half of the managers had obtained a postgraduate education (n = 6, 60%), and a majority of them were married (n = 7, 70%). Additionally, 40% of the managers (n = 4) were working as contractors. During the non-COVID-19 period, there were higher coverage by centers and residents, more referrals of non-injecting drug users and sex workers, and a higher number of group counseling sessions in all three provinces compared to the COVID-19 period. The qualitative analysis revealed two primary themes: "challenges" and "capabilities."ConclusionsDuring the COVID-19 pandemic, providing some services and client referrals decreased in the centers, and center managers faced increased challenges. Many of these challenges were in the communication, executive, management, structure, education, financial, civilization, facilities, and socio-cultural sectors. Managers used their skills to manage and control these challenges. It is important to focus on these challenges and managerial capabilities to effectively handle future crises.

Laying train tracks en route: How institutional education leaders navigate complexity during mandated curriculum change.

Institutional education leaders serve key roles in leading major curricular change within residency education, yet little is known about how they accomplish these goals on the ground. Change management principles have predominantly been developed and described in the hierarchical context of management science and corporate settings. However, the non-hierarchical, complex and adaptive features of health professions education may render these traditional change management models inadequate. We explored how institutional educational leaders navigate the complex residency education system in implementing a major curricular change. Using constructivist grounded theory, we conducted and iteratively analysed semi-structured interviews with 11 institutional education leaders from across Canada who were responsible for leading the nationally mandated curricular change to competency-based residency education. Thematic analysis was performed iteratively using constant comparison. Leaders managing the change process focused on two priorities: steering the direction of the change process as it evolved and maintaining the momentum amongst stakeholders to move forward steadily. Four common threats and opportunities impacted the focus on direction and momentum: multiplicity of contexts, innovation, resistance and distractions. In response, leaders utilised various tactics and harnessed diverse leadership styles to manage these challenges accordingly. We identified a change framework that offers a more contextually nuanced understanding of curricular change in residency education that has not been described in the change management literature generated by the management sector. Institutional education leaders focused on maintaining the direction and momentum, while constantly assessing and adapting to evolving, uncertain and complex conditions. Our findings provide a simple and practical foundation to support leadership education in curricular change as well as researchers in developing further change theories in complex adaptive health professions education systems.

Typhoon-Induced Forest Damage Mapping in the Philippines Using Landsat and PlanetScope Images

Forests provide valuable resources for households in the Philippines, particularly in poor and upland communities. This makes forests an integral part of building resilient communities. This relationship became complex during extreme events such as typhoon occurrence as forests can be a contributor to the intensity and impact of disasters. However, little attention has been paid to forest cover losses due to typhoons during disaster assessments. In this study, forest damage caused by typhoons was measured using harmonic analysis of time series (HANTS) with Landsat-8 Operation Land Imager (OLI) images. The ΔHarmonic Vegetation Index was computed by calculating the difference between HANTS and the actual observed vegetation index value. This was used to identify damaged areas in the forest regions and create a damage map. To validate the reliability of the results, the resulting maps produced using ΔHarmonic VI were compared with the damage mapped from PlanetScope’s high-resolution pre- and post-typhoon images. The method achieved an overall accuracy of 69.20%. The accuracy of the results was comparable to the traditional remote sensing techniques used in forest damage assessment, such as ΔVI and land cover change detection. To further the understanding of the relationship between forest and typhoon occurrence, the presence of time lag in the observations was investigated. Additionally, different contributing factors in forest damage were identified. Most of the forest damage observed was in forest areas with slopes facing the typhoon direction and in vulnerable areas such as near the coast and hill tops. This study will help the government and forest management sectors preserve forests, which will ultimately result in the development of a more resilient community, by making it easier to identify forest areas that are vulnerable to typhoon damage.

Tata Kelola Badan Usaha Milik Desa “Wijaya” Desa Bejijong Kecamatan Trowulan Kabupaten Mojokerto

The development of the potential of the village-owned business sector is currently a special attraction in Indonesia. One of them is the governance process carried out by the Village-Owned Enterprise "Wijaya" in Bejijong Village, Trowulan District, Mojokerto Regency. Evidenced by the fact that all activities from the initial process to management are carried out by BUMDesa Wijaya, so that many achievements have been made at the district, provincial and national levels thanks to the potential and good management of the village-owned business sector and being able to significantly increase PADes. This study aims to describe and analyze the governance of the “Wijaya” Village Owned Enterprise in Bejijong Village, Trowulan District, Mojokerto Regency. The research method used is descriptive qualitative. Data obtained through observation, interviews and documentation. From the research results obtained, it shows that the governance process carried out by BUMDesa "Wijaya" in developing the village-owned business sector is going well and is optimal in achieving its goals, because during the governance process, namely (1) there is cooperation with various stakeholders or stakeholders including BPCB East Java, The Lumbini Buddha Parini Bana Foundation and Mister Aladin; (2) the participation of various parties including the Bejijong Village Government, Ladewi Gajah Mada and the Bejijong Village community; (3) the provision of equal services to the people of Bejijong Village regardless of class, ethnicity and religion; (4) there is a transparent attitude towards the Bejijong Village community regarding the activities and information carried out; (5) there is accountability for their performance to Pemdes Bejijong in order to overcome conflicts of interest; (6) the involvement of the Pemdes Bejijong, Ladewi Gajah Mada and the Bejijong Village community.

Proposals for designing the airspace management of the ATM sectors of the Ho Chi Minh City Area Control Center to increase its capacity

According to the International Air Transport Association (IATA), Vietnam is among the countries with the rapid development of civil aviation (CA). This development is a positive sign to enhance the role and position of Vietnam civil aviation in the civil aviation community. But at the same time, the increase in flight operations poses challenges to flight safety, increases the load on airspace and airports, and pollutes the environment. The Ho Chi Minh City (HCM) airspace is one of the largest and busiest airspace in Southeast Asia. Every year, thousands of flights depart, arrive, and cross the HCM (VVTS) airspace. In addition, aviation operations in the HCM airspace are becoming increasingly complex (they include activity of state aviation, civil and general aviation), which requires the continuous improvement of airspace management. Airspace management, in turn, requires a certain flexibility and a quick response to difficulties arising in the airspace. One of the important components of the HCM airspace is the airspace of the HCM Area Control Centre (ACC1 airspace). At present, the structure of the HCM ACC airspace, which is divided into 6 sectors, shows signs of congestion, which leads to an increase in the workload of air traffic controllers (ATC). Therefore, the HCM ACC airspace redesign is imperative. In this regard, the authors of the article consider the issue of dividing the HCM ACC airspace into 8 sectors and the proposals which are necessary for its implementation. According to the authors, the HCM airspace redesign will contribute to improving air traffic management (ATM) quality, increasing airspace capacity, and reducing ATC workload.

Extinction of central and local government accounting education: Self-reinforcing institutional processes—a Norwegian warning

IMPACT The increasing disconnect between academia and central and local government accounting (CLGA) practices have significant implications for the quality of public sector accounting (PSA) especially for preparers as well as users of governmental accounting reports. Particularly transparency and understandability of accounting are at stake. The extinction of CLGA education at higher education institutions (HEIs) will deprive public sector organizations of the opportunity to hire graduates who are knowledgeable about the peculiarities of the public sector. This article shows how the negative self-reinforcing processes that increase the decoupling of academia from accounting practice can be reversed by rethinking the way academia collaborates with practitioners. Policy-makers and public sector managers should encourage HEIs to establish innovative competence improvement courses in PSA and increase the number of public sector PhDs. Specifically, digital micro-courses that can be offered to identify problems and propose solutions related to central and local government accounting can be a tool to reduce the practice–academia disconnect.