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Available. Open Access. Open Access
Article
Publication date: 16 February 2023

Janna Skagerström, Hanna Fernemark, Per Nilsen, Ida Seing, Maria Hårdstedt, Elin Karlsson and Kristina Schildmeijer

At the outbreak of the COVID-19 pandemic, health care was at the centre of the crisis. New demands made existing organizational practices and services obsolete. Primary health…

1549

Abstract

Purpose

At the outbreak of the COVID-19 pandemic, health care was at the centre of the crisis. New demands made existing organizational practices and services obsolete. Primary health care had a great deal of responsibility for COVID-19-related care. The pandemic demanded effective leadership to manage the new difficulties. This paper aims to explore experiences and perceptions of managers in primary health care in relation to their efforts to manage the COVID-19 crisis in their everyday work.

Design/methodology/approach

The authors used a qualitative approach based on 14 semi-structured interviews with managers in primary health care from four regions in Sweden. The interviews were conducted during September to December 2020. Data were analysed using conventional qualitative content analysis.

Findings

Data analysis yielded three categories: lonely in decision-making; stretched to the limit; and proud to have coped. The participants felt lonely in their decision-making, and they were stretched to the limit of their own and the organization’s capacity. The psychosocial working conditions in primary care worsened considerably during the pandemic because demands on leaders increased while their ability to control the work situation decreased. However, they also expressed pride that they and their employees had managed the situation by being flexible and having a common focus.

Originality/value

Looking ahead and using lessons learnt, and apart from making wise decisions under pressure, an important implication for primary health-care leaders is to not underestimate the power of acknowledging the virtues of humanity and justice during a crisis. Continuing professional education for leaders focusing on crisis leadership could help prepare leaders for future crises.

Details

Leadership in Health Services, vol. 36 no. 3
Type: Research Article
ISSN: 1751-1879

Keywords

Available. Open Access. Open Access
Article
Publication date: 15 August 2024

Jing Zou, Martin Odening and Ostap Okhrin

This paper aims to improve the delimitation of plant growth stages in the context of weather index insurance design. We propose a data-driven phase division that minimizes…

296

Abstract

Purpose

This paper aims to improve the delimitation of plant growth stages in the context of weather index insurance design. We propose a data-driven phase division that minimizes estimation errors in the weather-yield relationship and investigate whether it can substitute an expert-based determination of plant growth phases. We combine this procedure with various statistical and machine learning estimation methods and compare their performance.

Design/methodology/approach

Using the example of winter barley, we divide the complete growth cycle into four sub-phases based on phenology reports and expert instructions and evaluate all combinations of start and end points of the various growth stages by their estimation errors of the respective yield models. Some of the most commonly used statistical and machine learning methods are employed to model the weather-yield relationship with each selected method we applied.

Findings

Our results confirm that the fit of crop-yield models can be improved by disaggregation of the vegetation period. Moreover, we find that the data-driven approach leads to similar division points as the expert-based approach. Regarding the statistical model, in terms of yield model prediction accuracy, Support Vector Machine ranks first and Polynomial Regression last; however, the performance across different methods exhibits only minor differences.

Originality/value

This research addresses the challenge of separating plant growth stages when phenology information is unavailable. Moreover, it evaluates the performance of statistical and machine learning methods in the context of crop yield prediction. The suggested phase-division in conjunction with advanced statistical methods offers promising avenues for improving weather index insurance design.

Details

Agricultural Finance Review, vol. 84 no. 4/5
Type: Research Article
ISSN: 0002-1466

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 October 2021

Cong Li, YunFeng Xie, Gang Wang, XianFeng Zeng and Hui Jing

This paper studies the lateral stability regulation of intelligent electric vehicle (EV) based on model predictive control (MPC) algorithm.

1149

Abstract

Purpose

This paper studies the lateral stability regulation of intelligent electric vehicle (EV) based on model predictive control (MPC) algorithm.

Design/methodology/approach

Firstly, the bicycle model is adopted in the system modelling process. To improve the accuracy, the lateral stiffness of front and rear tire is estimated using the real-time yaw rate acceleration and lateral acceleration of the vehicle based on the vehicle dynamics. Then the constraint of input and output in the model predictive controller is designed. Soft constraints on the lateral speed of the vehicle are designed to guarantee the solved persistent feasibility and enforce the vehicle’s sideslip angle within a safety range.

Findings

The simulation results show that the proposed lateral stability controller based on the MPC algorithm can improve the handling and stability performance of the vehicle under complex working conditions.

Originality/value

The MPC schema and the objective function are established. The integrated active front steering/direct yaw moments control strategy is simultaneously adopted in the model. The vehicle’s sideslip angle is chosen as the constraint and is controlled in stable range. The online estimation of tire stiffness is performed. The vehicle’s lateral acceleration and the yaw rate acceleration are modelled into the two-degree-of-freedom equation to solve the tire cornering stiffness in real time. This can ensure the accuracy of model.

Details

Journal of Intelligent and Connected Vehicles, vol. 4 no. 3
Type: Research Article
ISSN: 2399-9802

Keywords

Available. Open Access. Open Access
Article
Publication date: 21 June 2023

Pu Wang, Shuguo Wang, Jing Ge, Daolin Si and Dongsheng Yang

It is quite universal for high-speed turnouts to be exposed to the wear of the stock rail of the switch rail during the service process. The wear will cause the change of railhead…

434

Abstract

Purpose

It is quite universal for high-speed turnouts to be exposed to the wear of the stock rail of the switch rail during the service process. The wear will cause the change of railhead profile and the relative positions of the switch rail and the stock rail, which will directly affect the wheel–rail contact state and wheel load transition when a train passes the turnout and will further impose serious impacts on the safety and stability of train operation. The purpose of this paper is to provide suggestions for wear management of high-speed turnout.

Design/methodology/approach

The actual wear characteristics of switch rails of high-speed turnouts in different guiding directions were studied based on the monitoring results on site; the authorized wear limits for the switch rails of high-speed turnout were studied through derailment risk analysis and switch rail strength analysis.

Findings

The results show that: the major factor for the service life of a curved switch rail is the lateral wear. The wear characteristics of the curved switch rail of a facing turnout are significantly different from those of a trailing turnout. To be specific, the lateral wear of the curved switch rail mainly occurs in the narrower section at its front end for a trailing turnout, but in the wider section at its rear end when for a facing turnout. The maximum lateral wear of a dismounted switch rail from a trailing turnout is found on the 15-mm wide section and is 3.9 mm, which does not reach the specified limit of 6 mm. For comparison, the lateral wear of a dismounted switch rail from a facing turnout is found from the 35-mm wide section to the full-width section and is greater than 7.5 mm, which exceeds the specified limit. Based on this, in addition to meeting the requirements of maintenance rules, the allowed wear of switch rails of high-speed turnout shall be so that the dangerous area with a tangent angle of wheel profile smaller than 43.6° will not contact the switch rail when the wheel is lifted by 2 mm. Accordingly, the lateral wear limit at the 5-mm wide section of the curved switch rail shall be reduced from 6 mm (as specified) to 3.5 mm.

Originality/value

The work in this paper is of reference significance to the research on the development law of rail wear in high-speed turnout area and the formulation of relevant standards.

Details

Railway Sciences, vol. 2 no. 2
Type: Research Article
ISSN: 2755-0907

Keywords

Available. Open Access. Open Access
Article
Publication date: 11 March 2022

Haiyan Jiang, Jing Jia and Yuanyuan Hu

This study aims to investigate whether firms purchase directors' and officers' liability (D&O) insurance when the country-level economic policy uncertainty (EPU) is high.

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Abstract

Purpose

This study aims to investigate whether firms purchase directors' and officers' liability (D&O) insurance when the country-level economic policy uncertainty (EPU) is high.

Design/methodology/approach

This study uses D&O insurance data from Chinese listed firms between 2003 and 2019 to conduct regression analyses to examine the association between D&O insurance and EPU.

Findings

The results show that government EPU, despite being an exogenous factor, increases the likelihood of firms' purchasing D&O insurance, and this effect is more pronounced when firms are exposed to great share price crash risk and high litigation risk, suggesting that firms intend to purchase D&O insurance possibly due to the accentuated stock price crash risk and litigation risk associated with EPU. In addition, the results indicate that the effect of EPU on the D&O insurance purchase decision is moderated by the provincial capital market development and internal control quality.

Practical implications

The study highlights the role of uncertain economic policies in shareholder approval of D&O insurance purchases.

Originality/value

The study enriches the literature on the determinants of D&O insurance purchases by documenting novel evidence that country-level EPU is a key institutional factor shaping firms' decisions to purchase D&O insurance.

Details

China Accounting and Finance Review, vol. 24 no. 1
Type: Research Article
ISSN: 1029-807X

Keywords

Available. Open Access. Open Access
Article
Publication date: 26 December 2024

Peck-Ching Sia, Chin-Hong Puah, Choi-Meng Leong, Kwang-Jing Yii and Maggie May-Jean Tang

This paper examines the asymmetric effects of inflation and interest rate on stock prices in Indonesia.

205

Abstract

Purpose

This paper examines the asymmetric effects of inflation and interest rate on stock prices in Indonesia.

Design/methodology/approach

Variables such as interest rate, inflation rate, gross domestic product (GDP), and exchange rate were tested using the time-series data fitted to the Nonlinear Autoregressive Distributed Lag (NARDL) model. The asymmetric effects of interest rate and inflation rate were estimated in two separate models, with data covering the period from 1997:Q1 to 2023:Q3.

Findings

The results indicated that interest rate exhibit asymmetric effects on stock prices in both the short and long run. Conversely, no asymmetric effect was identified for the inflation rate model. The NARDL result of the asymmetry interest rate model revealed that both positive and negative changes in interest rate have a negative impact on stock prices in Indonesia. Notably, stock prices were positively and significantly influenced by both economic growth and exchange rate. The results suggested that policymakers should respond more proactively by adjusting interest rate in line with stock price movements.

Originality/value

This study diverges from previous studies by employing a general equilibrium theoretic model to link output with stock returns and extending it to include macroeconomic variables relevant to stock price determination. This study uniquely examined the asymmetric effects of monetary policy variables in Indonesia, particularly by comparing the asymmetric effects of inflation and interest rate.

Details

Journal of Economics and Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1859-0020

Keywords

Available. Open Access. Open Access
Article
Publication date: 29 March 2024

Runze Ling, Ailing Pan and Lei Xu

This study examines the impact of China’s mixed-ownership reform on the innovation of non-state-owned acquirers, with a particular focus on the impact on firms with high financing…

1253

Abstract

Purpose

This study examines the impact of China’s mixed-ownership reform on the innovation of non-state-owned acquirers, with a particular focus on the impact on firms with high financing constraints, low-quality accounting information or less tangible assets.

Design/methodology/approach

We use a proprietary dataset of firms listed on the Shanghai and Shenzhen Stock Exchanges to investigate the impact of mixed ownership reform on non-state-owned enterprise (non-SOE) innovation. We employ regression analysis to examine the association between mixed ownership reform and firm innovation.

Findings

The study finds that non-state-owned firms can improve innovation by acquiring equity in state-owned enterprises (SOEs) under the reform. Eased financing constraints, lowered financing costs, better access to tax incentives or government subsidies, lowered agency costs, better accounting information quality and more credit loans are underlying the impact. Additionally, cross-ownership connections amongst non-SOE executives and government intervention strengthen the impact, whilst regional marketisation weakens it.

Originality/value

This study adds to the literature on the association between mixed ownership reform and firm innovation by focussing on the conditions under which this impact is stronger. It also sheds light on the policy implications for SOE reforms in emerging economies.

Details

China Accounting and Finance Review, vol. 26 no. 2
Type: Research Article
ISSN: 1029-807X

Keywords

Available. Open Access. Open Access
Article
Publication date: 7 September 2021

Ming Qi, Jiawei Zhang, Jing Xiao, Pei Wang, Danyang Shi and Amuji Bridget Nnenna

In this paper the interconnectedness among financial institutions and the level of systemic risks of four types of Chinese financial institutions are investigated.

2969

Abstract

Purpose

In this paper the interconnectedness among financial institutions and the level of systemic risks of four types of Chinese financial institutions are investigated.

Design/methodology/approach

By the means of RAS algorithm, the interconnection among financial institutions are illustrated. Different methods, including Linear Granger, Systemic impact index (SII), vulnerability index (VI), CoVaR, and MES are used to measure the systemic risk exposures across different institutions.

Findings

The results illustrate that big banks are more interconnected and hold the biggest scales of inter-bank transactions in the financial network. The institutions which have larger size tend to have more connection with others. Insurance and security companies contribute more to the systemic risk where as other institutions, such as trusts, financial companies, etc. may bring about severe loss and endanger the financial system as a whole.

Practical implications

Since other institutions with low levels of regulation may bring about higher extreme loss and suffer the whole system, it deserves more attention by regulators considering the contagion of potential risks in the financial system.

Originality/value

This study builds a valuable contribution by examine the systemic risks from the perspectives of both interconnection and tail risk measures. Furthermore; Four types financial institutions are investigated in this paper.

Details

Kybernetes, vol. 51 no. 13
Type: Research Article
ISSN: 0368-492X

Keywords

Available. Open Access. Open Access
Article
Publication date: 9 November 2022

Jing Wang, Nathan N. Huynh and Edsel Pena

This paper evaluates an alternative queuing concept for marine container terminals that utilize a truck appointment system (TAS). Instead of having all lanes providing service to…

497

Abstract

Purpose

This paper evaluates an alternative queuing concept for marine container terminals that utilize a truck appointment system (TAS). Instead of having all lanes providing service to trucks with appointments, this study considers the case where walk-in lanes are provided to serve those trucks with no appointments or trucks with appointments but arrived late due to traffic congestion.

Design/methodology/approach

To enable the analysis of the proposed alternative queuing strategy, the queuing system is shown mathematically to be stationary. Due to the complexity of the model, a discrete event simulation (DES) model is used to obtain the average waiting number of trucks per lane for both types of service lanes: TAS-lanes and walk-in lanes.

Findings

The numerical experiment results indicated that the considered queuing strategy is most beneficial when the utilization of the TAS lanes is expected to be much higher than that of the walk-in lanes.

Originality/value

The novelty of this study is that it examines the scenario where trucks with appointments switch to the walk-in lanes upon arrival if the TAS-lane server is occupied and the walk-in lane server is not occupied. This queuing strategy/policy could reduce the average waiting time of trucks at marine container terminals. Approximation equations are provided to assist practitioners calculate the average truck queue length and the average truck queuing time for this type of queuing system.

Details

Journal of International Logistics and Trade, vol. 20 no. 3
Type: Research Article
ISSN: 1738-2122

Keywords

Available. Open Access. Open Access
Article
Publication date: 27 March 2018

Qing Zhu, Yiqiong Wu, Yuze Li, Jing Han and Xiaoyang Zhou

Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of…

2897

Abstract

Purpose

Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of unstructured data has become a modern knowledge management resource. The paper aims to discuss this issue.

Design/methodology/approach

This research combined theme logic structure (TLS), artificial neural network (ANN), and ensemble empirical mode decomposition (EEMD) to transform unstructured data into a signal-wave to examine the research characteristics.

Findings

Research characteristics have a vital effect on knowledge management activities and management behavior through concentration and relaxation, and ultimately form a quasi-periodic evolution. Knowledge management should actively control the evolution of the research characteristics because the natural development of six to nine years was found to be difficult to plot.

Originality/value

Periodic evaluation using TLS-ANN-EEMD gives insights into journal evolution and allows journal managers and contributors to follow the intrinsic mode functions and predict the journal research characteristics tendencies.

Details

Library Hi Tech, vol. 36 no. 3
Type: Research Article
ISSN: 0737-8831

Keywords

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