Evidence from 1992 to 2019 on the dynamics of managerial authority and CEO remuneration during company crises

We investigate the dynamics of two governance constructs, management influence over the board of directors and CEO remuneration, in enterprises in crisis from 1992 to 2019. Data reveal a strong trend of improving governance over time, which confounds the conclusion concerning the impact of distress on governance. Using a bias-corrected matching estimator to control for secular trends, we find that distressed businesses cut management board appointments and CEO compensation, deepen managerial incentive alignment, and increase CEO turnover. The performance-related component of CEO remuneration accounts for the majority of changes in CEO compensation in troubled businesses, which is consistent with the "shareholder value" perspective on CEO compensation.

Females on board and sustainability performance in a developing country: Evidence from Egypt

This study aims at filling the existing research gap by scrutinizing the influence of females on management boards on sustainability performance in a developing country using cross-sectional data from the Egyptian Stock Exchange (EGX) of non-financial companies over the period 2012–2019. To the best of our knowledge, the analysis is considered one of the earliest empirical studies that tests the relationship of females on management board and sustainability performance in Egypt. Our results indicate that female representation on board has a positive impact on sustainability performance, which demonstrates that companies that have females on their boards have a better sustainability performance. Moreover, board size and independence enhance sustainability performance. Thus, this study has imperative repercussions on users and companies’ boards in Egypt, which recommend that current Egyptian regulatory bodies would take further steps that may significantly impact the environmental, social and corporate governance imminent in Egypt

Standardization and strengthening the functionality of hospital management boards in central hospitals: Evidence of a developing economy

Zimbabwe’s public hospitals have been criticised for the declining standard of health service delivery for the past three decades with fingers pointed towards the hospital governance system. In response to the criticism, the government of Zimbabwe, through the Ministry of Health, has begun the process of making structural changes to the entire hospital governance system (Moyo, 2016; Sikipa, Osifo-Dawodu, Kokwaro, & Rice, 2019). The aim of the study is to examine the processes of appointing hospital management board (HMB) members in central hospitals of Zimbabwe. The study sought to explore the standardization, strengthening, and performance of HMBs in central hospitals of Zimbabwe with a focus on six central hospitals which include Harare, Chitungwiza, Parirenyatwa Group of Hospitals, United Bulawayo Hospitals (UBH), Mpilo, and Ingutsheni. The study employed a mixed-method design using the questionnaire and interviews to collect data. The target population included 66 board members. The census approach was used meaning that all members of the population formed the sample size. The study revealed that 67% of hospitals had functional HMBs with a quorum despite lacking a clear policy to evaluate their performance. The gaps identified required policy review to strengthen the appointment and performance of HMBs

Intelligent aquaculture system for pisciculture simulation using deep learning algorithm

The project aims to develop an intelligent system for simulating pisciculture in Taal Lake in the Philippines through geographical information system and deep learning algorithm. Records of 2018-2020 from the database of Bureau of fisheries and aquatic resources IV-A-protected area management board (BFAR IVA-PAMB) was collected for model development. Deep learning algorithm model was developed and integrated to the system for time series analysis and simulation. Different technologies including tensorflow.js were used to successfully developed the intelligent system. It is found on this paper that recurrent neural network (RNN) is a good deep learning algorithm for predicting pisciculture in Taal lake. Further, it is also shown in the initial visualization of the system that barangay Sampaloc in Taal has highest rate of fish production in Taal while Tilapia nilotica sp. is the major product of the latter.

Job Satisfaction and Quality of Healthcare Delivery: A Cross-Sectional Study in Ogun State Hospitals Management Board, Nigeria

Job satisfaction is vitally necessary in the daily life of the workforce, and the essential elements, materials and mechanism that drives job satisfaction demand great attention. At present, the situation of healthcare workers in the employment of Ogun State Hospitals Management Board, Nigeria, seems to be less satisfied with the policies of the healthcare institutions. The study examined job satisfaction and the quality of healthcare delivery in Ogun State Hospitals Management Board (HMB) in Nigeria. This study adopted a cross-sectional design method and was conducted among the healthcare professionals in the study area. A total of 729 copies of a well-structured questionnaire were administered using a multi-staged sampling technique to obtain information from all the available healthcare professionals in the study area. Data collected were analysed using descriptive statistics. Findings of this study revealed that 12.5 % of healthcare professionals in Ogun State Hospitals strongly agreed, 21.9% moderately, and 32% slightly agreed with the level of satisfaction of the leadership and management styles. 25.7% of the healthcare professionals disagreed (7.4% strongly, 4.0% moderately and 14.3% slightly) that they would recommend employment in the study area. The results further revealed that 47.9% of healthcare workers had a low level of job satisfaction that could lead to many factors. In addendum, 43.6% of the respondents believed that the healthcare delivery was not low but with moderate quality. The study concluded that majority of the healthcare workers had low level of job satisfaction. The quality of healthcare delivery is of medium quality. Finally, this study recommends that there should be an establishment of health and life insurance for health workers; improved health infrastructures; conducive work environment and working conditions; job security; regular and continuous training of healthcare professionals; and attractive rewards and compensation.

Vertebrate diversity at Margalla Hills National Park, Pakistan

The Margalla Hills National Park (MHNP) in Islamabad, Pakistan, is an important site for the conservation of many plants and animals. The present study aimed to determine the status of fauna diversity and richness, and environmental threats to the animals. A field study was conducted and the point count method was used to determine vertebrate diversity. The survey showed that the MHNP is home to 117 species of birds, 27 reptiles (including species such as the saw–scaled viper, Russell’s viper and the Indian cobra) and 30 mammalian species, such as barking deer, wild boar, golden jackal, red fox, Asiatic leopards, monkeys, fruit bats, and pangolins. The results showed a maximum count of 9,076 birds of 117 species belonging to 48 families. According to the Islamabad wildlife management board, one of the unique species, the grey goral (Nemorhaedus goral), has become extinct at the MHNP as no single specimen has been recorded since 2018. It was also been observed, however, that the numbers of the endangered species of common leopard (Panthera pardus) and pangolin (Manis crassicaudata) have increased, possibly due to the wildlife management board’s strategy for conservation. Nevertheless, greater conservation and protection of wild fauna at the MHNP is still needed. During the visits, threats such as habitat degradation, climate change, and over hunting were recorded. Dataset published through GBIF (Doi: 10.15470/hf1s9i)

Interplay between environmental, social and governance coordinates and the financial performance of agricultural companies

On the complex framing of the agricultural fields, related to the corporate social responsibility (CSR), the general objective of this paper is to assess the impacts of environmental, social and governance (ESG) credentials of CSR and human capital features on the financial performance of agricultural companies. The data consists of a sample of 412 public companies from the Thomson Reuters Eikon database, with data for 2020, operating in 17 agricultural areas with headquarters allocated around the world. The methodological endeavor embeds two econometric procedures, multifactorial models of robust regression and structural equation modelling (SEM). The research results bring new evidence to underline the risks related to the sustainability of the financial performance of agricultural companies and the decisive role played by the ESG dimensions to counteract these risks, particularly by the environmental pillar, along with CSR specific strategies and human capital characteristics (management board and employees). We propose several strategies for companies operating in agricultural fields in order to enhance profitability by CSR measures.

Integrating Business, Social, and Environmental Goals in Open Innovation through Partner Selection

Although collaborative networks (CN) are widespread in academia and have come to be even more used in corporations all over the world, they still face several challenges on behalf of the new product development (NPD) context, especially in regard to the selection of the CN’s right partner. This becomes even more evident when it comes to promoting sustainable development goals within a CN’s activities, by selecting the right partners with a wide consensus from a CN’s management board, avoiding, therefore, the subjectivity around managers’ perception of a CN’s partner selection. Therefore, this work attempts to answer this problem, by presenting a soft-computing-based framework, to support the managers’ board on partner search and selection. The method presented here is further assessed by using a case study, based on the development of a green product, where, according to the obtained results, it is demonstrated that the proposed approach is extremely effective for partner selection, by assessing and prioritizing each candidate involved. The most suitable candidate that fulfills the CN’s requirements is then selected to be integrated as a future partner.

Summary of Task Force Team Work to Come up with Certificate System of Pancreatobiliary Endoscopist

It has been appealed to come up with the certificate system of pancreatobiliary endoscopist from summer endoscopic retrograde cholangiopancreatography camp in 2018. All members of Policy-Quality Management Board, Educational Board, and Insurance Affaires Board had the first workshop preparing for the certificate system of pancreatobiliary endoscopist on December 8, 2018. They discussed prerequisites to the certificate system of pancreatobiliary endoscopist as well as pros and cons on the system. After trying to prepare it over half year, a task force team (TFT) set sail for the certificate system of pancreatobiliary endoscopist. Throughout one workshop and five conferences, the TFT confirmed the official name of certificate system of pancreatobiliary endoscopist and made rules and regulations on the qualification of guidance medical specialists, training hospital qualifications, acquisition, maintenance and repair of certificate, and eligibility criteria for renewal.