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Open Access
Article
Publication date: 29 September 2022

Kumiko Nemoto

Building on the institutional theory perspective on corporate governance change and based on interviews with investor relations (IR) managers in large Japanese companies, this…

2748

Abstract

Purpose

Building on the institutional theory perspective on corporate governance change and based on interviews with investor relations (IR) managers in large Japanese companies, this study aims to examine Japanese IR managers’ perceptions of the influence of foreign shareholders on Japan’s corporate governance reform and stakeholder-based system. The paper examines tensions, conflicts and collaborations among different stakeholders involved in corporate governance changes in Japan, especially in the areas of firm ownership, employment relations and boards of directors. The paper explains why convergence does not happen in some large Japanese companies by investigating Japanese managers’ responses to and perceptions of foreign shareholders in multiple corporate contexts.

Design/methodology/approach

The author conducted in-depth interviews with ten IR managers at large, listed Japanese companies in Kyoto and Tokyo and two managers at foreign investment banks in Tokyo, between 2018 and 2021.

Findings

This paper explores five themes that emerged from my interviews: Chief executive officers’ (CEOs’) mixed perceptions of foreign investors, the effectiveness of CEO compensation and outside directors, managers’ reluctance to accept stock price-driven business strategies, foreign investors’ engagement vs investments in index funds and gender patterns, including the effectiveness of token female outside directors. The Japanese companies the author looked at incorporated foreign shareholders as consultants and adopted a few major shareholder-based customs, such as CEOs communicating with investors, having outside directors, increasing CEO compensation and slimming down unprofitable parts of the business via restructuring and downsizing. Simultaneously, they resisted a few major shareholder-based practices. Foreign shareholders’ pressure revealed tensions and contradictions between the Japanese stakeholder system and shareholder primacy-based customs.

Originality/value

This paper is one of the few qualitative studies that explores Japanese IR managers’ responses to and perceptions of foreign shareholders in corporate governance reform, with a particular focus on ownership, employment relations and board members. This paper provides examples of tension, conflict and cooperation between Japanese managers and foreign investors, as seen through the eyes of Japanese IR managers. Examining changes in Japan’s stakeholder-based system of corporate governance reform enables us to better understand the processes by which, with vigorous pressure from government and foreign shareholders, a non-western country like Japan may adopt shareholder-based customs and how such a change may also lead to institutional changes.

Details

Corporate Governance: The International Journal of Business in Society, vol. 23 no. 3
Type: Research Article
ISSN: 1472-0701

Keywords

Open Access
Article
Publication date: 11 February 2013

Lucia Parisi, Teresa Di Filippo, Sabina La Grutta, Rosa Lo Baido, Maria Stella Epifanio, Maria Esposito, Marco Carotenuto and Michele Roccella

Sturge-Weber-Krabe syndrome (SWS), also known as encephalotrigeminalangiomatosis and named the forthfacomatosis, recall the names of the authors who first describedit in its basic…

Abstract

Sturge-Weber-Krabe syndrome (SWS), also known as encephalotrigeminalangiomatosis and named the forthfacomatosis, recall the names of the authors who first describedit in its basic clinical, radiological andanatomopathological aspects. We report here 14 cases of Sturge-Weber disease. In 6 of these, despite what had been previously described in literature, an extension of the angioma has been noted in other parts of the body. The study of these subjects stresses not only the need for a pharmacological/neuropsychomotor intervention, but alsothe need of a psychotherapeutic approach, for the emotional and affective implications thatcould derive from this syndrome. The reported cases are similar to those presented in literature for their main features. In particular, two elements are interesting: i) the exceptional diffusion of the red nevousto the whole hemicorpo; and ii) the evaluation of the way the patients live the disease, which has not beenpreviously considered in literature. We can conclude that SWS is a multisystem disorder that requires the neurologist to be aware of the possible endocrine, psychiatric, ophthalmological, and other medical issues that can arise and impact on the neurological status of the patients.

Details

Mental Illness, vol. 5 no. 1
Type: Research Article
ISSN: 2036-7465

Keywords

Open Access
Article
Publication date: 28 July 2023

Eliza Sharma and John Ben Prince

The paper aims to explore the problems related to the financial management of municipal corporations in India and to suggest solutions.

Abstract

Purpose

The paper aims to explore the problems related to the financial management of municipal corporations in India and to suggest solutions.

Design/methodology/approach

The study is based on primary data collected from a sample of 577 employees of municipal corporations working in four metro cities of India, namely Chennai, Mumbai, Kolkata, and Delhi. Data were put through exploratory and confirmatory factor analysis for problem identification and inferences were classified and grouped to map the solutions for these problems.

Findings

The study found that municipal corporations in India face four major problems or issues in their financial management. These problems are mainly related to the four dimensions: Power, Interruptions, Finances, and Resources. The model used to explore these four types of issues is named as “PIFR model” by the author.

Originality/value

The findings suggest that real-world problems can be represented through a conceptual model that helps in identifying practical suggestions which can be implemented by municipal corporations at the ground level for better financial management.

Details

Public Administration and Policy, vol. 26 no. 2
Type: Research Article
ISSN: 1727-2645

Keywords

Open Access
Article
Publication date: 13 October 2022

Dereje Amene Yimam and Nathalie Holvoet

The purpose of this study is to identify the most vulnerable households and districts in Northwest Ethiopia and help decision-makers in developing and prioritising effective…

2713

Abstract

Purpose

The purpose of this study is to identify the most vulnerable households and districts in Northwest Ethiopia and help decision-makers in developing and prioritising effective adaptive strategies and actions.

Design/methodology/approach

A multi-scale analytical tool and hazard-generic socio-economic indicators were developed to identify and prioritise the most vulnerable households and districts in Northwest Ethiopia. Categorical principal component analysis with 36 indicators was used to develop weights for different indicators and construct a household intrinsic vulnerability index. Data were collected through key information interviews, focus group discussions and a household survey with 1,602 randomly selected households in three districts of Northwest Ethiopia.

Findings

Drawing on intrinsic vulnerability index computation, this study highlights that low levels of education, low access to climate information and credit services, long distance travelled to fetch water and frequent food shortages are the dominant factors contributing to high levels of intrinsic vulnerability at district level, while lack of livelihood support and income diversification are the key drivers of vulnerability at household level. The findings of this study further show that the majority of households (78.01%) falls within the very high to moderately high vulnerable category. Disaggregating the data according to agro-climatic zones highlights that the prevalence of high intrinsic vulnerability is most widespread in the lowland agro-climatic zone (82.64%), followed by the highland (81.97%) and midland zones (69.40%).

Practical implications

From a policy intervention vantage point, addressing the drivers of vulnerability provides a reliable approach to reduce the current vulnerability level and manage potential climate change-induced risks of a system. Specifically, reliable information on inherent vulnerability will assist policymakers in developing policies and prioritising actions aimed at reducing vulnerability and assisting in the rational distribution of resources among households at a local level.

Originality/value

This study contributes to the existing vulnerability literature by showing how hazard-generic socio-economic indicators in the vulnerability assessment adopted by the IPCC (2014) are important to identify drives of vulnerability which ultimately may feed into a more fundamental treatment of vulnerability.

Details

International Journal of Climate Change Strategies and Management, vol. 15 no. 4
Type: Research Article
ISSN: 1756-8692

Keywords

Open Access
Article
Publication date: 22 November 2022

Chunlan Li, Xinwu Xu, Hongyu Du, Debin Du, Walter Leal Filho, Jun Wang, Gang Bao, Xiaowen Ji, Shan Yin, Yuhai Bao and Hossein Azadi

The paper aims to investigate the possible changes in mean temperature in the Mongolian Plateau associated with the 1.5 and 2°C global warming targets and how snow changes in the…

Abstract

Purpose

The paper aims to investigate the possible changes in mean temperature in the Mongolian Plateau associated with the 1.5 and 2°C global warming targets and how snow changes in the Mongolian Plateau when the mean global warming is well below 2°C or limited to 1.5°C.

Design/methodology/approach

In total, 30 model simulations of consecutive temperature and precipitation days from Coupled Model Inter-comparison Project Phase 5 (CMIP5) are assessed in comparison with the 111 meteorological monitoring stations from 1961–2005. Multi-model ensemble and model relative error were used to evaluate the performance of CMIP5 models. Slope and the Mann–Kendall test were used to analyze the magnitude of the trends and evaluate the significance of trends of snow depth (SD) from 1981 to 2014 in the Mongolian Plateau.

Findings

Some models perform well, even better than the majority (80%) of the models over the Mongolian Plateau, particularly HadGEM2-CC, CMCC-CM, BNU-ESM and GFDL-ESM2M, which simulate best in consecutive dry days (CDD), consecutive wet days (CWD), cold spell duration indicator (CSDI) and warm spell duration indicator (WSDI), respectively. Emphasis zones of WSDI on SD were deeply analysed in the 1.5 and 2 °C global warming period above pre-industrial conditions, because it alone has a significant negative relation with SD among the four indices. It is warmer than before in the Mongolian Plateau, particularly in the southern part of the Mongolian Plateau, indicating less SD.

Originality/value

Providing climate extremes and SD data sets with different spatial-temporal scales over the Mongolian Plateau. Zoning SD potential risk areas and proposing adaptations to promote regional sustainable development.

Details

International Journal of Climate Change Strategies and Management, vol. 14 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

Open Access
Article
Publication date: 8 February 2018

Ismail Ismail, Muhammad Sohail, Hammad Gilani, Anwar Ali, Kiramat Hussain, Kamran Hussain, Bhaskar Singh Karky, Faisal Mueen Qamer, Waqas Qazi, Wu Ning and Rajan Kotru

The purpose of the study is to analyse the occurrence and distribution of different tree species in Gilgit-Baltistan, Pakistan, as a baseline for further inventories, and estimate…

9199

Abstract

Purpose

The purpose of the study is to analyse the occurrence and distribution of different tree species in Gilgit-Baltistan, Pakistan, as a baseline for further inventories, and estimate the biomass per species and plot. Furthermore, it aims to measure forest biodiversity using established formulae for tree species diversity index, richness, evenness and accumulative curve.

Design/methodology/approach

Field data were collected, including stratification of forest sample plots. Statistical analysis of the data was carried out, and locally appropriate allometric equations were applied for biomass estimation.

Findings

Representative circular 556 forest sample plots of 1,000 m2 contained 13,135 trees belonging to nine tree species with a total aboveground biomass of 12,887 tonnes. Sixty-eight per cent of the trees were found between 2,600 and 3,400 masl; approximately 63 per cent had a diameter at breast height equal to 30 cm, and 45 per cent were less than 12 m in height. The Shannon diversity index was 1.82, and Simpson’s index of diversity was 0.813.

Research limitations/implications

Rough terrain, long distances, harsh weather conditions and location of forest in steep narrow valleys presented challenges for the field crews, and meant that fieldwork took longer than planned.

Practical implications

Estimating biomass in Gilgit-Baltistan’s forests using locally developed allometric equations will provide transparency in estimates of forest reference levels, National Forest Monitoring System in Pakistan and devising Reducing Emissions from Deforestation and Forest Degradation national strategies and for effective implementation.

Originality/value

This paper presents the first detailed forest inventory carried out for the dry temperate and semi-arid cold region of Gilgit-Baltistan, Pakistan.

Details

International Journal of Climate Change Strategies and Management, vol. 10 no. 4
Type: Research Article
ISSN: 1756-8692

Keywords

Open Access
Article
Publication date: 18 November 2021

Asam Latif, Christina Faull, Justin Waring, Eleanor Wilson, Claire Anderson, Anthony Avery and Kristian Pollock

The impact of population ageing is significant, multifaceted and characterised by frailty and multi-morbidity. The COVID-19 pandemic has accelerated care pathways and policies…

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Abstract

Purpose

The impact of population ageing is significant, multifaceted and characterised by frailty and multi-morbidity. The COVID-19 pandemic has accelerated care pathways and policies promoting self-management and home-based care. One under-researched area is how patients and family caregivers manage the complexity of end-of-life therapeutic medicine regimens. In this position paper the authors bring attention to the significant strain that patients and family caregivers experience when navigating and negotiating this aspect of palliative and end-of-life care.

Design/methodology/approach

Focussing on self-care and organisation of medicines in the United Kingdom (UK) context, the paper examines, builds on and extends the debate by considering the underlying policy assumptions and unintended consequences for individual patients and family care givers as they assume greater palliative and end-of-life roles and responsibilities.

Findings

Policy makers and healthcare professionals often lack awareness of the significant burden and emotional work associated with managing and administering often potent high-risk medicines (i.e. opioids) in the domiciliary setting. The recent “revolution” in professional roles associated with the COVID-19 pandemic, including remote consultations and expanding community-based care, means there are opportunities for commissioners to consider offering greater support. The prospect of enhancing the community pharmacist's medicine optimisation role to further support the wider multi-disciplinary team is considered.

Originality/value

The paper takes a person-focused perspective and adopts a holistic view of medicine management. The authors argue for urgent review, reform and investment to enable and support terminally ill patients and family caregivers to more effectively manage medicines in the domiciliary setting. There are clear implications for pharmacists and these are discussed in the context of public awareness, inter-professional collaboration, organisational drivers, funding and regulation and remote care delivery.

Details

Journal of Health Organization and Management, vol. 35 no. 9
Type: Research Article
ISSN: 1477-7266

Keywords

Open Access
Article
Publication date: 29 March 2021

Hamad Al Jassmi, Mahmoud Al Ahmad and Soha Ahmed

The first step toward developing an automated construction workers performance monitoring system is to initially establish a complete and competent activity recognition solution…

1668

Abstract

Purpose

The first step toward developing an automated construction workers performance monitoring system is to initially establish a complete and competent activity recognition solution, which is still lacking. This study aims to propose a novel approach of using labor physiological data collected through wearable sensors as means of remote and automatic activity recognition.

Design/methodology/approach

A pilot study is conducted against three pre-fabrication stone construction workers throughout three full working shifts to test the ability of automatically recognizing the type of activities they perform in-site through their lively measured physiological signals (i.e. blood volume pulse, respiration rate, heart rate, galvanic skin response and skin temperature). The physiological data are broadcasted from wearable sensors to a tablet application developed for this particular purpose, and are therefore used to train and assess the performance of various machine-learning classifiers.

Findings

A promising result of up to 88% accuracy level for activity recognition was achieved by using an artificial neural network classifier. Nonetheless, special care needs to be taken for some activities that evoke similar physiological patterns. It is expected that blending this method with other currently developed camera-based or kinetic-based methods would yield higher activity recognition accuracy levels.

Originality/value

The proposed method complements previously proposed labor tracking methods that focused on monitoring labor trajectories and postures, by using additional rich source of information from labors physiology, for real-time and remote activity recognition. Ultimately, this paves for an automated and comprehensive solution with which construction managers could monitor, control and collect rich real-time data about workers performance remotely.

Details

Construction Innovation , vol. 21 no. 4
Type: Research Article
ISSN: 1471-4175

Keywords

Open Access
Article
Publication date: 4 March 2022

Modeste Meliho, Abdellatif Khattabi, Zejli Driss and Collins Ashianga Orlando

The purpose of the paper is to predict mapping of areas vulnerable to flooding in the Ourika watershed in the High Atlas of Morocco with the aim of providing a useful tool capable…

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Abstract

Purpose

The purpose of the paper is to predict mapping of areas vulnerable to flooding in the Ourika watershed in the High Atlas of Morocco with the aim of providing a useful tool capable of helping in the mitigation and management of floods in the associated region, as well as Morocco as a whole.

Design/methodology/approach

Four machine learning (ML) algorithms including k-nearest neighbors (KNN), artificial neural network, random forest (RF) and x-gradient boost (XGB) are adopted for modeling. Additionally, 16 predictors divided into categorical and numerical variables are used as inputs for modeling.

Findings

The results showed that RF and XGB were the best performing algorithms, with AUC scores of 99.1 and 99.2%, respectively. Conversely, KNN had the lowest predictive power, scoring 94.4%. Overall, the algorithms predicted that over 60% of the watershed was in the very low flood risk class, while the high flood risk class accounted for less than 15% of the area.

Originality/value

There are limited, if not non-existent studies on modeling using AI tools including ML in the region in predictive modeling of flooding, making this study intriguing.

Details

Applied Computing and Informatics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2634-1964

Keywords

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