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1 – 6 of 6Richard J. Cebula, Maggie Foley, John Downs and Douglas Johansen
Bank failures are critical events that have far-reaching implications for the financial system and various stakeholders. This study aims to focus on analyzing the phenomenon of…
Abstract
Purpose
Bank failures are critical events that have far-reaching implications for the financial system and various stakeholders. This study aims to focus on analyzing the phenomenon of small bank failures in the USA.
Design/methodology/approach
This study adopts the coarsened exact matching (CEM) technique to enhance the reliability of the analysis. By matching similar observed characteristics, the CEM approach helps to address potential selectivity bias and facilitates a more accurate estimation of the treatment effect. This study uses a data set covering the period from 2000 through 2019 and includes 523 failed bank observations and 43,605 nonfailed bank observations.
Findings
The results reveal several key findings. Small banks, especially those with lower yields on earning assets, those with lower charge-offs on loans and leases, those with higher core capital ratios and those with higher Fed Funds rates are found to be more susceptible to failure.
Research limitations/implications
Some results align with initial predictions, whereas others present contrasting outcomes.
Practical implications
This study underscores the significance of understanding the factors contributing to bank failure and emphasizes the importance of studying small bank failures in particular.
Originality/value
This study uses the CEM method. CEM is a comprehensive approach that combines matching, sample trimming and reweighting techniques. When applying CEM, researchers carefully select a set of core variables to achieve balance between the treated and control groups. The CEM process involves discretizing each continuous variable into distinct bins or categories, a process known as “coarsening.” It then requires an exact match among these binned variables between the treated and control units, which constitutes the matching step in CEM.
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Le Thanh Tung and Le Nguyen Hoang
Emerging economies have been highlighted as an important growth source of the global economy. However, this group of countries has not received enough academic attention yet…
Abstract
Purpose
Emerging economies have been highlighted as an important growth source of the global economy. However, this group of countries has not received enough academic attention yet. Therefore, this study aims to identify the impact of research and development (R&D) expenditure on economic growth in emerging economies.
Design/methodology/approach
The theoretical framework of the production function is applied to quantitatively analyse the impact of R&D expenditure on economic growth with a sample of 29 emerging economies in the period between 1996 and 2019.
Findings
The panel cointegration test confirms the existence of long-run cointegration relationships between economic growth and independent variables in these emerging economies. Besides, the estimated results show that the national R&D expenditure has positive effects on economic growth from both direct and interaction dimensions. This evidence has filled the empirical research gap in the R&D-growth nexus in the case of emerging economies. Finally, while gross capital and education have positive impacts on growth, corruption has a harmful effect on economic growth in these countries.
Practical implications
The results highlight that policymakers should enhance R&D expenditure and R&D activities as the key national development strategy. The investment in R&D not only helps emerging economies avoid the middle-income trap but also pushes these countries to successfully join the group of developed countries.
Originality/value
To the best of the authors’ knowledge, this research is among the first to examine the impact of R&D expenditure on economic growth with a homogeneous sample of emerging economies. The results are obviously helpful for policymakers to use R&D as the key development strategy for supporting economic growth in emerging economies in the future.
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Ilkay Cankurtaran and M. Halis Gunel
Cancer has become a priority among today’s health problems. Therefore, providing facilities that ensure high-quality cancer treatment has become an essential design problem…
Abstract
Purpose
Cancer has become a priority among today’s health problems. Therefore, providing facilities that ensure high-quality cancer treatment has become an essential design problem. Additionally, a considerable number of studies have introduced the ‘healing environment concept’ as a substantial input for healthcare buildings. The purpose of this paper is to present a design guide for cancer treatment services that is compatible with the healing environment concept.
Design/methodology/approach
In this context, studies on the healing environment have been analyzed, and the legislation of some selected countries has been assessed. Then, all the filtered data are used to form the design guideline for chemotherapy department, radiation oncology department and inpatient care services under a new series of analysis criteria.
Findings
The resulting principles are revealed according to the criteria of general settlement principles, internal function relations, medical necessities, user experience, interior design, social interaction/privacy, safety, landscape design and outdoor relations by the help of proposed plans, diagrams and schematic drawings.
Originality/value
This research constitutes the first and yet only study in its field that aims to increase efficiency and user satisfaction and provide better patient-centered care while providing a design guide on health-care architecture.
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Ji Fang, Vincent C.S. Lee and Haiyan Wang
This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource…
Abstract
Purpose
This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource utilisation and deliver interactive health information service.
Design/methodology/approach
An adaptive optimal service resource management strategy was developed considering a value co-creation model in health information service with a focus on collaborative and interactive with users. The deep reinforcement learning algorithm was embedded in the Internet of Things (IoT)-based health information service system (I-HISS) to allocate service resources by controlling service provision and service adaptation based on user engagement behaviour. The simulation experiments were conducted to evaluate the significance of the proposed algorithm under different user reactions to the health information service.
Findings
The results indicate that the proposed service resource management strategy, considering user co-creation in the service delivery, process improved both the service provider’s business revenue and users' individual benefits.
Practical implications
The findings may facilitate the design and implementation of health information services that can achieve a high user service experience with low service operation costs.
Originality/value
This study is amongst the first to propose a service resource management model in I-HISS, considering the value co-creation of the user in the service-dominant logic. The novel artificial intelligence algorithm is developed using the deep reinforcement learning method to learn the adaptive service resource management strategy. The results emphasise user engagement in the health information service process.
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Relinde De Koeijer, Mathilde Strating, Jaap Paauwe and Robbert Huijsman
This study examines the theoretical and empirical relationships between LM&SS, human resource management (HRM), climate for LM&SS and outcomes (employee well-being and…
Abstract
Purpose
This study examines the theoretical and empirical relationships between LM&SS, human resource management (HRM), climate for LM&SS and outcomes (employee well-being and performance) in hospitals. As part of this research, the authors examine the interplay between “hard” and “soft” practices for LM&SS and “soft” HR practices.
Design/methodology/approach
A cross-sectional, multisite survey study covering all internal service units at all eight Dutch university hospitals was conducted (42 units, N = 218 supervisors, N = 1,668 employees), and multivariate multilevel regression analyses were performed.
Findings
A systems approach involving “soft” LM&SS practices that are specifically HR-related has a positive effect (β is 0.46) on a climate for LM&SS. A climate for LM&SS is not related to perceived performance or employee health. It is, however, positively related to employee happiness and trusting relationships (both βs are 0.33). We did not find that a climate for LM&SS had a mediating effect.
Research limitations/implications
This study shows that a balanced approach involving both “hard” and “soft” factors is crucial to achieving the desired breadth and depth of LM&SS adoption at the macro, meso, and micro levels. The authors found that a climate for LM&SS positively affects employee well-being in hospitals.
Practical implications
In their attempt to create mutual gains for both their organization and their employees, hospitals that adopt LM&SS should foster a climate for LM&SS by embracing a balanced approach consisting of both “hard” and “soft” practices, thereby internalizing LM&SS at the macro, meso, and micro levels.
Originality/value
This is one of the first studies to examine in-depth the impact of “hard” and “soft” LM&SS on both employee well-being (subdivided into different components) and performance in healthcare, as well as the role of “soft” HRM in this relationship. Linking LM&SS, HRM and outcomes to a climate for LM&SS is relatively a new approach and has led to a deeper understanding of the mechanisms underpinning the internalization of LM&SS in healthcare.
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A large number of studies indicate that coercive forms of organizational control and performance management in health care services often backfire and initiate dysfunctional…
Abstract
Purpose
A large number of studies indicate that coercive forms of organizational control and performance management in health care services often backfire and initiate dysfunctional consequences. The purpose of this article is to discuss new approaches to performance management in health care services when the purpose is to support innovative changes in the delivery of services.
Design/methodology/approach
The article represents cross-boundary work as the theoretical and empirical material used to discuss and reconsider performance management comes from several relevant research disciplines, including systematic reviews of audit and feedback interventions in health care and extant theories of human motivation and organizational control.
Findings
An enabling approach to performance management in health care services can potentially contribute to innovative changes. Key design elements to operationalize such an approach are a formative and learning-oriented use of performance measures, an appeal to self- and social-approval mechanisms when providing feedback and support for local goals and action plans that fit specific conditions and challenges.
Originality/value
The article suggests how to operationalize an enabling approach to performance management in health care services. The framework is consistent with new governance and managerial approaches emerging in public sector organizations more generally, supporting a higher degree of professional autonomy and the use of nonfinancial incentives.
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