Mohammad Hoseini Moghadam, Abtin Heidarzadeh, Hassan Bashiri, Hossein Khoshrang and Ideh Dadgaran
The purpose of this paper is to answer the question of how scientific excellency can be achieved. The origin of scientific excellency in Iran, national and international…
Abstract
Purpose
The purpose of this paper is to answer the question of how scientific excellency can be achieved. The origin of scientific excellency in Iran, national and international experiences concerning the subject has been investigated to review the literature. The authors also designed a process and then a model to test the course. Guilan University of Medical Sciences was selected as a case study for the research.
Design/methodology/approach
The approach used in this paper is from Future Studies, with emphasis on the “Participatory Learning and Action” method. It means that different stakeholders, including the strategic council members, managers, faculty members, students, alumni and non-academic staff, have been involved in different parts of the process.
Findings
After semantic analysis of scientific excellency in the theoretical field; the examination of national and international experiences in universities; the analysis of higher-level documents of the Ministry of Health and Medical Education as well as strategic documents of the university; the determination of the strengths and weaknesses of the Guilan University of Medical Sciences in online survey; the completion of the scientific excellency canvas in the expert panel and finally obtaining other stakeholders, a conceptual model was designed for achieving scientific excellency.
Practical implications
The study of the actions, policies and trends of pioneering universities indicates that it is important to consider issues such as the internationalization of education and research and the modification of university structures. To achieve a superior national and international status, the university must specifically enhance a range of different aspects, from intangible aspects, such as motivation of employees to tangible aspects, such as human resources, structure and facilities.
Originality/value
Scientific excellency is going to be one of main streams between universities to attract top students and researchers from all over the world. There has been little academic attempt on scientific excellency. In this research, first the authors examined the concept of scientific excellency, criteria and measurement in higher education, then based on that case study and participatory action learning method, a conceptual framework to achieve scientific excellency in Iran’s higher education system was proposed.
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Hassan Bashiri, Amir Nazemi and Ali Mobinidehkordi
This paper attempts to apply complex theory in futures studies and addresses prediction challenges when the system is complex. The purpose of the research is to design a framework…
Abstract
Purpose
This paper attempts to apply complex theory in futures studies and addresses prediction challenges when the system is complex. The purpose of the research is to design a framework to engineer the futures in complex systems where components are divers and inter-related. Relations cannot be interpreted by cause and effect concept.
Design/methodology/approach
First, the authors shaped a conceptual framework based on engineering, complex theory and uncertainty. To extract tacit knowledge of experts, an online questionnaire was developed. To validate the proposed framework, a workshop method was adapted with NetLogo simulation.
Findings
Opinion of participants in the workshop which is collected through quantitative questionnaire shows that the framework helps us in understanding and shaping scenarios. Harnessing the complexity in developing the futures was the main objective of this paper with the proposed framework which has been realized based on the experience gained from the workshop.
Originality/value
Iterative processes are very important to harness the complexity in systems with uncertainty. The novelty of the research is a combination of engineering achievements in terms of computation, simulation and applying tools with futures studies methods.
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Yousef Bin Makhashen, Piyya Muhammad Rafi-ul-Shan, Mahdi Bashiri, Ruaa Hasan, Hassan Amar and Muhammad Naveed Khan
The purpose of this paper is to investigate the knowledge gaps in the extant literature on the role of ambidexterity and coopetition in designing resilient fashion supply chains…
Abstract
Purpose
The purpose of this paper is to investigate the knowledge gaps in the extant literature on the role of ambidexterity and coopetition in designing resilient fashion supply chains (RFSCs), and to develop a contextual framework for effective decision-making to enable practitioners to enhance their supply chain resilience.
Design/methodology/approach
The study adopts a novel multi-evidence-based approach comprising Denyer and Tranfield's (2009) systematic literature review (SLR) with context, intervention, mechanism and outcome (CIMO) logic, text mining and network analysis. The approach constitutes a rigorous methodology that cross-validates results and ensures the reliability and validity of findings.
Findings
The authors identified key knowledge gaps in the literature and explored the main contribution categories (e.g. conceptual understandings, operational impacts, use of theories and frameworks). Subsequently, we developed a contextual framework of ambidextrous coopetition to design RFSCs. Finally, an empirical research agenda is proposed with the five research directions to address the gap and take forward the notion of ambidextrous coopetition and RFSCs.
Research limitations/implications
The multi-evidence-based approach is a structured and triangulated SLR approach and thus lacks empirical study.
Practical implications
This research proposes a contextual framework of ambidextrous coopetition that can be used by fashion companies to embed resilience into their structures and operations. This research also presents an agenda for the future empirical research.
Originality/value
This paper contributes by providing a combinatory synthesis on the role of ambidexterity and coopetition in designing RFSCs. This paper introduces a novel methodological triangulation for improving the quality and validity of SLRs. It identifies significant knowledge gaps and defines directions for future research.
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Murtadha Aldoukhi and Surendra M. Gupta
This chapter proposes a multiobjective model to design a Closed Loop Supply Chain (CLSC) network. The first objective is to minimize the total cost of the network, while the…
Abstract
This chapter proposes a multiobjective model to design a Closed Loop Supply Chain (CLSC) network. The first objective is to minimize the total cost of the network, while the second objective is to minimize the carbon emission resulting from production, transportation, and disposal processes using carbon cap and carbon tax regularity policies. In the third objective, we maximize the service level of retailers by using maximum covering location as a measure of service level. To model the proposed problem, a physical programming approach is developed. This work contributes to the literature in designing an optimum CLSC network considering the service level objective and product substitution.
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Jawad Hassan, Tariq Aldowaisan and Mustapha Nourelfath
The purpose of this paper is to study the relationship between reported sigma levels and actual failure rates (FRs) of gamma-distributed processes. The added complexity of the…
Abstract
Purpose
The purpose of this paper is to study the relationship between reported sigma levels and actual failure rates (FRs) of gamma-distributed processes. The added complexity of the non-normality behavior of the gamma distribution is analyzed for the case of the cycle time (CT) of a real procurement process from the oil and gas industry. Then, recommendations and guidelines for the application of Six Sigma methodology for the case study are proposed.
Design/methodology/approach
Sensitivity analysis is conducted to study the relationship between gamma distribution parameters and FRs considering different quality levels. Then, adjustments for implementing Six Sigma programs for gamma processes are proposed. These adjustments consist of first determining the appropriate probability distribution, the standard CT and the due date, followed by setting performance zones and improvement strategies on target gamma parameters that yield the minimal FR.
Findings
For gamma-distributed processes, simply reporting the sigma level is not sufficient to capture the main characteristics of the process. These characteristics include process FR, mean setting, shape, spread and amount of variation reduction (i.e. improvement effort) required. That is why caution must be exercised when dealing with one-sided non-normal quality characteristics such as CT.
Originality/value
To the authors’ knowledge, this is the first time that the Six Sigma performance has been evaluated for gamma processes to analyze the link between Six Sigma FRs and gamma distribution parameters leading to the development of a modified Six Sigma methodology for non-normal processes.
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Salimeh Sadat Aghili, Mohsen Torabian, Mohammad Hassan Behzadi and Asghar Seif
The purpose of this paper is to develop a double-objective economic statistical design (ESD) of (
Abstract
Purpose
The purpose of this paper is to develop a double-objective economic statistical design (ESD) of (
Design/methodology/approach
The design used in this study is based on a double-objective economic statistical design of (
Findings
Numerical results indicate that it is not possible to reduce the second type of error and costs at the same time, which means that by reducing the second type of error, the cost increases, and by reducing the cost, the second type of error increases, both of which are very important. Obtained based on the needs of the industry and which one has more priority has the right to choose. These designs define a Pareto optimal front of solutions that increase the flexibility and adaptability of the
Practical implications
This research adds to the body of knowledge related to flexibility in process quality control. This article may be of interest to quality systems experts in factories where the choice between cost reduction and statistical factor reduction can affect the production process.
Originality/value
The cost functions for double-objective uniform and non-uniform sampling schemes with the Weibull shock model based on the Linex loss function are presented for the first time.
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Achraf Chahbi, Meriem Korchi, Yassine Ezaier, Rachida Moultif, Ahmed Hader, Ilias Tarras, Rachid Et-Touizi, Fatima Zahra Krimech and Mohammed Tanasehte
The model incorporates key factors of membrane such as permeability and resistance, feed concentration, fluid viscosity and pressure differentials. Special emphasis is placed on…
Abstract
Purpose
The model incorporates key factors of membrane such as permeability and resistance, feed concentration, fluid viscosity and pressure differentials. Special emphasis is placed on the fouling mechanisms, including pore blockage and cake layer formation, which significantly impact the efficiency of the filtration process.
Design/methodology/approach
In this study, we present a numerical analysis of permeate flux through a membrane, focusing on the intricate dynamics of fouling phenomena. Utilizing the Langevin model, we simulate the permeation process to understand how various operational parameters affect the flux rates.
Findings
Our results demonstrate that fouling not only reduces the permeate flux but also alters the membrane’s hydraulic resistance over time. The results show that the increasing of the diffusion process on membrane reduces the clogging phenomenon. Hence, the increases of the transmembrane pressure reduce exponentially blocking pore process.
Originality/value
By analyzing these changes, we provide insights into optimizing membrane performance and developing strategies to mitigate clogging membrane. This research contributes to the field of membrane technology by enhancing our understanding of permeate flux behavior under fouling conditions and offering potential pathways for improving long-term operational sustainability.
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Suheil Neiroukh, Okechukwu Lawrence Emeagwali and Hasan Yousef Aljuhmani
This study investigates the profound impact of artificial intelligence (AI) capabilities on decision-making processes and organizational performance, addressing a crucial gap in…
Abstract
Purpose
This study investigates the profound impact of artificial intelligence (AI) capabilities on decision-making processes and organizational performance, addressing a crucial gap in the literature by exploring the mediating role of decision-making speed and quality.
Design/methodology/approach
Drawing upon resource-based theory and prior research, this study constructs a comprehensive model and hypotheses to illuminate the influence of AI capabilities within organizations on decision-making speed, decision quality, and, ultimately, organizational performance. A dataset comprising 230 responses from diverse organizations forms the basis of the analysis, with the study employing a partial least squares structural equation model (PLS-SEM) for robust data examination.
Findings
The results demonstrate the pivotal role of AI capabilities in shaping organizational decision-making processes and performance. AI capability significantly and positively affects decision-making speed, decision quality, and overall organizational performance. Notably, decision-making speed is a critical factor contributing significantly to enhanced organizational performance. The study further uncovered partial mediation effects, suggesting that decision-making processes partially mediate the relationship between AI capabilities and organizational performance through decision-making speed.
Originality/value
This study contributes to the existing body of literature by providing empirical evidence of the multifaceted impact of AI capabilities on organizational decision-making and performance. Elucidating the mediating role of decision-making processes advances our understanding of the complex mechanisms through which AI capabilities drive organizational success.
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Xiaohang Ren, Shuiling Hu, Xianming Sun and Dan Zhou
This paper investigates the impact of AI penetration rate on the degree of corporate greenwashing and aims to assess the potential of AI in enhancing firms' environmental…
Abstract
Purpose
This paper investigates the impact of AI penetration rate on the degree of corporate greenwashing and aims to assess the potential of AI in enhancing firms' environmental performance and reducing false disclosures.
Design/methodology/approach
This study employs a year and firm fixed-effects model to analyze data from Chinese listed firms from 2012 to 2022. We use the low-carbon city pilot as a quasi-natural experiment to address endogeneity concerns and conduct a series of robustness tests, including adding control variables and transforming the model.
Findings
The results of this paper show that the application of AI can inhibit firms' greenwashing behavior, with green innovation activities further enhancing this inhibitory effect. In state-owned firms and those with Party Organizations, the inhibitory effect of AI on corporate greenwashing is more significant. This reduction in greenwashing is more likely to be observed in firms that are heavily influenced by Confucian culture, receive higher public attention regarding their environmental impact, face less market competition, suffer from more serious pollution and face less financial constraints.
Originality/value
We propose a new research perspective that offers novel insights into promoting the green development of firms by revealing the potential of AI in reducing their greenwashing behavior. Corporate boards can explore specific strategies for applying AI to monitor, prevent and correct greenwashing, thereby enhancing corporate environmental performance and social responsibility.
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The purpose of this study is to explore the effect of adopting categories of high-performance work practices (HPWPs) in human resource management (HRM) in some health dispensaries…
Abstract
Purpose
The purpose of this study is to explore the effect of adopting categories of high-performance work practices (HPWPs) in human resource management (HRM) in some health dispensaries in the context of the Kingdom of Saudi Arabia. It examines their impact on specific performance areas that can be measured in line with defined performance measurement criteria by adopting the approach of best practices that covers a wide range of departments, levels and processes, including those that reflect the HRM strategy's effectiveness.
Design/methodology/approach
The study employed descriptive-exploratory research design which explores the effect of adopting categories of HPWPs in HRM in some health dispensaries in the context of the Kingdom of Saudi Arabia.
Findings
This study's findings also point to inefficient practices in uplifting organizational performance levels, such as performance-related compensation and information exchange. HPWPs contribute in achieving the institutions' goals in the employees' performance improvement their productivity in health dispensaries improvement of institutional characteristics and performance. HPWPs led to the improvement in the elements of performance, remarkable of which are: improvement in innovation level and creativity; management level improvement due to the compatibility of human resources (HR) practices with the employees' qualifications and experiences; support of the administration to these practices, individual and institutional goal achievement.
Research limitations/implications
The drawback of this analysis is that HR drivers have been listed for healthcare in Saudi Arabia. There will also be extra drivers or potential examinations. The research used expert opinions; they could modify their views in the future. Such work primarily relates to Saudi Arabia and requires validation in specific contexts. There are prospects for more research in the future, as this analysis should be used. This offers the partnership pattern for HR drivers in healthcare in Saudi Arabia.
Practical implications
The study presents practical implications to HRM of health services in Saudi Arabia. This may help to improve healthcare programme in Saudi Arabia and transforming it into a comprehensive healthcare network through which the country offers quality health coverage across various government departments. The private sector's involvement in providing healthcare services is also growing but is hampered by many HR-related concerns.
Social implications
With this study, it offers to improve the health services of Saudi Arabia for social development with regards to HRM practices. In which efficiency in healthcare ensures that the patient wants treatment in an inexpensive, secure, efficient manner because it needs it. HPWPs in HRM are examined in this research paper.
Originality/value
Despite the magnitude of the health dispensaries in the Kingdom of Saudi Arabia, and the geographical expanse, it covers in rendering its practical and medical services, there is an apparent lack of full grasp on the part of managers concerning the potential role that HPHWs can play a major role in contributing to the development of health services across the board; in addition to the fact that some institutions are not desirous of changing the framework and operations of their HRM amongst healthcare institutions in Saudi Arabia.