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Article
Publication date: 12 December 2024

Reza Aalikhani, Mohammad Reza Rasouli, Hossein Ghanbari, Mohammad Fathian and Alireza Ali ahmadi

Interorganizational collaborations are crucial for delivering high-quality, integrated healthcare services. To maximize the benefits of these collaborative networks, effective…

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Abstract

Purpose

Interorganizational collaborations are crucial for delivering high-quality, integrated healthcare services. To maximize the benefits of these collaborative networks, effective governance structures and mechanisms must be in place. While previous studies have extensively examined organizational-level factors, such as partner capabilities and backgrounds, this study focuses on network-level factors, including collaboration structures and tie characteristics that shape effective network governance.

Design/methodology/approach

A systematic literature review (SLR) was conducted to identify and synthesize the key network-level factors influencing governance structures and mechanisms in healthcare networks.

Findings

The review identified 22 critical factors, categorized into three primary groups that impact network governance. These findings offer a robust foundation for developing context-sensitive governance models tailored to healthcare systems.

Practical implications

This study provides valuable insights for healthcare practitioners, policymakers and researchers by highlighting key factors that can improve interorganizational collaboration within healthcare systems. The findings contribute to both theory and practice, with the potential to enhance healthcare service delivery and patient outcomes.

Originality/value

This study is the first to systematically identify and categorize the network-level factors that influence governance structures and mechanisms in healthcare networks, providing a comprehensive and novel contribution to the field.

Details

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

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Article
Publication date: 9 October 2024

Raziyeh Ghanbary Vanani, Hassan Danaee Fard, Seyed Hossein Kazemi and Jalil Delkhah

To ensure effective national governance, it is essential to enhance employees' well-being in the workplace. Employees with good mental and physical health are more likely to…

128

Abstract

Purpose

To ensure effective national governance, it is essential to enhance employees' well-being in the workplace. Employees with good mental and physical health are more likely to demonstrate a high level of commitment and engagement in advancing public policy objectives, which serve as instruments of public will. A comprehensive understanding of the various effective strategies to improve workplace well-being is indispensable to formulating human resource management policies within the public sector. Therefore, this study aims to uncover and prioritize the key strategies, programs and actions that contribute to enhancing the workplace well-being of public employees in Iran, drawing from their perspectives and experiences.

Design/methodology/approach

We conducted a mixed-method study incorporating both qualitative and quantitative phases to recognize and measure these strategies. In the first phase, a qualitative content analysis was carried out based on the perspectives of Iranian public sector employees. In the subsequent phase, a questionnaire derived from the qualitative findings was randomly distributed to 374 employees from 14 public organizations.

Findings

Workplace well-being strategies can be summarized according to the level of their importance as follows: employees' well-being through “inter-personal relationship,” “systems,” “technologies,” “structure,” “culture” and “environment” within the organization. These strategies as six themes divided into 13 categories and 60 subcategories of programs and actions to promote employee well-being in the work setting.

Originality/value

The importance of considering employees' perspectives on workplace well-being is highlighted as a crucial aspect, rather than depending exclusively on managerial viewpoints for the implementation of well-being initiatives. Adopting an integrated and holistic approach to workplace well-being through strategies, programs and actions is another significant contribution of this study.

Details

International Journal of Public Sector Management, vol. 37 no. 7
Type: Research Article
ISSN: 0951-3558

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Article
Publication date: 8 August 2018

Gholamreza Jalali Farahani, Reza Hosnavi, Mohamad Hasan Ataee, Ali Ghanbary Nasab and Mohammad Ali Ataee

The purpose of this paper is to determine and prioritize man-made threats that have the probability of occurring in civilian airports, as an important part of critical…

215

Abstract

Purpose

The purpose of this paper is to determine and prioritize man-made threats that have the probability of occurring in civilian airports, as an important part of critical infrastructures in each country.

Design/methodology/approach

The paper is practical-developmental in terms of research type and its approach is descriptive. Desktop research methods and interviews (qualitative) have been used in identifying deliberate man-made threats that are faced by the civilian airports. Moreover, a questionnaire (quantitative) has been utilized to assess the civilian airports’ assets that are targets likely to be threatened and assess threats by determining and prioritizing.

Findings

The results of the paper show that the main threat faced by civilian airports is “Air and missile strikes.” An additional 15 threats endangering civilian airports that have been extracted and presented through integrating specialized literature were prioritized in the main components of civilian airports. This prioritization has been performed on the basis of the following five indicators: “Damage Severity,” “Threat Precedent,” “Target Attractiveness,” “Negative Consequences for the Enemy” and “Enemy Ability.”

Originality/value

This paper is extracted from master’s thesis that identifies and assesses the threats to civil airport, and prioritizes them, and the results were confirmed by the experts.

Details

Property Management, vol. 37 no. 1
Type: Research Article
ISSN: 0263-7472

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Article
Publication date: 23 November 2021

Hossein Sohrabi and Esmatullah Noorzai

Successful risk management is influential in different phases of construction projects. It can play a critical role in reducing the possibility of claims as well as related…

350

Abstract

Purpose

Successful risk management is influential in different phases of construction projects. It can play a critical role in reducing the possibility of claims as well as related disputes. The risk management knowledge area in large capital projects such as oil and gas is considered a questionable problem in the construction industry. The present study makes an effort to identify the importance of process groups in improving risk management performance.

Design/methodology/approach

This study is selected and ranked 36 factors leading to the claim in Iran's oil and gas industry through the Delphi method and a questionnaire. Factors categorized into a risk breakdown structure (RBS) include eight groups. Factors are linked to one of the process groups by a Delphi method. Finally, the relationship between RBS and the five process groups is analyzed using partial least squares structural equation modeling (PLS-SEM).

Findings

Findings showed that the planning process group had more confirmed factors than others. Most of the supported communications belonged to the contractor and the owner parties. Also, the cause of delay in the implementation phase due to the contractor performance had a higher relative importance index.

Originality/value

This article, from a project life-cycle perspective, considers the new structure between the risks leading to claims and the key parties to the project. It can be a good criterion for identifying risks and a timelier response to them before the risks turn into disagreements.

Details

International Journal of Quality & Reliability Management, vol. 40 no. 1
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 26 April 2019

Seyed Hossein Hosseini, Hamed Shakouri G., Aliyeh Kazemi, Rahman Zareayan and Milad Mousavian H.

Project portfolio management (PPM) is a commonly used technique to align projects with strategy and to ensure adequate resourcing for projects. In this paper, to gain a better…

413

Abstract

Purpose

Project portfolio management (PPM) is a commonly used technique to align projects with strategy and to ensure adequate resourcing for projects. In this paper, to gain a better understanding of PPM dynamics, a system dynamics (SD) model was developed. To do so, an Iranian independent power producer was used as a case study in the energy sector; moreover, policy options were derived and generalized for such a developer company.

Design/methodology/approach

To cope with the complexity of business processes in a power producer company and to formulate an optimum policy, causal relations and loops were derived first and then state-flow diagrams were designed to simulate the problem in the system, as it is usual in the SD methodology.

Findings

The proposed model was applied to a real-world case study to rectify managers’ viewpoint about their business dynamics and to formulate new project portfolio strategies to improve the viability of the company. The model proved how a static portfolio analysis can misguide managers in planning their project portfolio strategies, and how effective feedback can improve PPM in developing companies in the energy sector.

Originality/value

Systems approach, especially SD methodology, has been rarely used to analyze PPM problems in the energy sector. This study highlights the implications of feedback and dynamics in PPM and tries to derive optimal value of portfolios.

Details

Kybernetes, vol. 49 no. 2
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 24 August 2021

Mohaddese Omidi, Behzad Zohrevandi and Enayatollah Homaie Rad

As a human right, people need to arrive early at the hospitals when they are injured in traffic accidents. Both the mean and equality of the time of arriving at the hospital are…

56

Abstract

Purpose

As a human right, people need to arrive early at the hospitals when they are injured in traffic accidents. Both the mean and equality of the time of arriving at the hospital are important. This study aimed to investigate inequality in arrival time of emergent traffic accident patients to the hospital in 2018–2019 in a city in the North of Iran.

Design/methodology/approach

The authors extracted the data from the Guilan province trauma system databank in Poursina Hospital in Rasht in 2018 and 2019. The Gini coefficient was used to calculate inequality, and a regression model was estimated for determining the reason for inequality in time to receive hospital services.

Findings

The study showed that patients’ arrival time from the time of the accident to the time of arrival to the hospital was 64.48 ± 47.63 min (minimum of 9 min and maximum 462 min). Gini coefficient was 0.31 (p <0.001), which does not show high inequality. Regression results showed that the transfer time of patients by car was 40 min longer (p-value <0.001) than ambulances (p = 0.036). In children, the transfer time was 42 min less (p = 0.003). Other variables did not explain the inequality (p > 0.05).

Originality/value

According to the time of arrival of patients and Gini index, in Rasht, inequality in providing services is not in a bad condition. This indicates that the emergency department does not systematically transport people to the hospital late.

Details

International Journal of Human Rights in Healthcare, vol. 16 no. 3
Type: Research Article
ISSN: 2056-4902

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Article
Publication date: 2 July 2020

Vahid Rooholelm and Abbas Sheikh Aboumasoudi

Almost all projects in the world are delayed, and sometimes even lead to the full bankruptcy of their beneficiaries. These delays can be calculated using techniques, but most…

353

Abstract

Purpose

Almost all projects in the world are delayed, and sometimes even lead to the full bankruptcy of their beneficiaries. These delays can be calculated using techniques, but most importantly, there must be a fair and realistic division of delays between project beneficiaries. The most valid delay calculation techniques belong to the SCL Global Protocol, but they also have significant drawbacks, such as these: (1) They do not have the capability to prevent project delays (Delay Risk Management); (2) The protocol identifies and introduces any delays in activities with a ratio of one to one as a delay (Effective Delay); (3) It also does not offer the capability to share delays between stakeholders, which is a huge weakness. Floating in the base schedule activities is one of the cost control tools of projects, but it can hide project delays. In this paper, the researchers believe that the floating ownership belongs to the project and not belong to the stakeholders. This is the main tool for analyzing and sharing delays in this research.

Design/methodology/approach

The research methodology adopted included an extensive literature review, expert interviews, use of questionnaire and designing three innovative linked together models by researchers.

Findings

In this research, an integrated technique is introduced which has the following capabilities; delay risk control, result-based delay analysis and stakeholders delay sharing. This technique with an incursive and defensive approach implements claims management principles and calculates, respectively, non-attributable and attributable delays for each beneficiary.

Originality/value

This creativity led to the introduction of the Incursive and Defensive (In-De) technique; in the SCL protocol techniques, none of these capabilities exist.

Details

International Journal of Managing Projects in Business, vol. 13 no. 6
Type: Research Article
ISSN: 1753-8378

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Article
Publication date: 10 July 2024

Wiput Tuvayanond, Viroon Kamchoom and Lapyote Prasittisopin

This paper aims to clarify the efficient process of the machine learning algorithms implemented in the ready-mix concrete (RMC) onsite. It proposes innovative machine learning…

148

Abstract

Purpose

This paper aims to clarify the efficient process of the machine learning algorithms implemented in the ready-mix concrete (RMC) onsite. It proposes innovative machine learning algorithms in terms of preciseness and computation time for the RMC strength prediction.

Design/methodology/approach

This paper presents an investigation of five different machine learning algorithms, namely, multilinear regression, support vector regression, k-nearest neighbors, extreme gradient boosting (XGBOOST) and deep neural network (DNN), that can be used to predict the 28- and 56-day compressive strengths of nine mix designs and four mixing conditions. Two algorithms were designated for fitting the actual and predicted 28- and 56-day compressive strength data. Moreover, the 28-day compressive strength data were implemented to predict 56-day compressive strength.

Findings

The efficacy of the compressive strength data was predicted by DNN and XGBOOST algorithms. The computation time of the XGBOOST algorithm was apparently faster than the DNN, offering it to be the most suitable strength prediction tool for RMC.

Research limitations/implications

Since none has been practically adopted the machine learning for strength prediction for RMC, the scope of this work focuses on the commercially available algorithms. The adoption of the modified methods to fit with the RMC data should be determined thereafter.

Practical implications

The selected algorithms offer efficient prediction for promoting sustainability to the RMC industries. The standard adopting such algorithms can be established, excluding the traditional labor testing. The manufacturers can implement research to introduce machine learning in the quality controcl process of their plants.

Originality/value

Regarding literature review, machine learning has been assessed regarding the laboratory concrete mix design and concrete performance. A study conducted based on the on-site production and prolonged mixing parameters is lacking.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

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Article
Publication date: 17 September 2019

Habib Jalilian, Leila Doshmangir, Soheila Ajami, Habibeh Mir, Yibeltal Siraneh and Edris Hasanpoor

Gastric cancer is the fourth most common cancer and the leading cause of death after lung cancer in the world. Considering the economic burden of cancers and their impact on…

107

Abstract

Purpose

Gastric cancer is the fourth most common cancer and the leading cause of death after lung cancer in the world. Considering the economic burden of cancers and their impact on household welfare, this study aims to estimate the cost of gastric cancer in Tabriz (Northwest city of Iran) in 2017.

Design/methodology/approach

This was an incidence-based cost of illness study which was conducted from the perspective of society with a bottom-up costing approach. The inclusion criteria for the study were all patients (n = 118) with gastric cancer at the period of the first six months after diagnosis that 102 patients participated. Data were analyzed using SPSS software version 22.

Findings

The mean medical direct cost was US$3288.02, 18.19 per cent paid by the patient and 81.81 per cent paid by insurance organizations and governmental subsidies. The estimated out of pocket rate was 18.19 per cent. The mean non-medical direct cost estimated at US$377.54. The mean total direct cost was US$3665.56, 26.61 per cent paid by the patient. The mean indirect cost estimated at US$505.41 and the mean total cost was US$4170.97, 35.5 per cent which imposed on the patient. The mean total cost of gastric cancer within the first six months after diagnosis was equivalent to 0.81 GDP per capita.

Originality/value

Based on the findings, gastric cancer is a highly costly disease that despite insurance coverage imposes a high economic burden on the patients and their families.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 13 no. 4
Type: Research Article
ISSN: 1750-6123

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