| 1. |
- Hosseinzadeh, Mahnaz, et al.
(författare)
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Complexity management of corruption in Irans oil industry applying soft system dynamics methodology (SSDM)
- 2021
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Ingår i: Kybernetes. - : EMERALD GROUP PUBLISHING LTD. - 0368-492X .- 1758-7883. ; 50:8, s. 2397-2427
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Tidskriftsartikel (refereegranskat)abstract
- Purpose Oil is the natural resource recognized as the most important source of revenue in oil-dependent countries and is most often referred to as being susceptible to corruption owing to its strategic importance. A major challenge in addressing and encountering the problems in complex social systems, such as corruption, is how to structure the problematic situation and how to capture mental models of the stakeholders involved in the situation, and also how to identify the systems behavior in response to various policy intervention attempts in the long run. This study aims to shed new lights on modeling and simulating corrupt system of the oil industry, as a complex social system needed to be structured according to social system theories principles. Design/methodology/approach Parsons theory is applied as a basic framework to capture the complexities of a corrupt system, dividing the system into political and structural, economic, legal and judicial and cultural and social sub-systems. Then soft system dynamics methodology, which is a combination of the two well-known methodologies, soft system methodology and system dynamics, is applied to model and simulate the complexities involved in the oil industry of Iran, which owns the second-largest oil reservoir in the world and its economy is much dependent on the oil revenue, struggles with corruption, and plans for a large amount of anti-corruption activities. Findings After simulating and calibrating the model, three groups of policies, namely, "reducing corruption opportunities," "reducing corruption demand," and "increasing anti-corruption capacity" are implemented in the model. As to the simulation results, due to the mutual inter-causality of opportunity and demand for corruption, individual application of each group of policies will not be helpful for long, rather a combination of policies will conduce to substantial improvements in declining corruption in the oil industry. Originality/value The developed model addresses the dynamics of the complex socio-economic system of corruption in the system of oil industry via modeling and simulation. The developed four-dimension system dynamics framework could be considered as a guidance for corruption modeling in general and as a basic model for corruption modeling of oil-dependent countries systems in particular.
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| 2. |
- Khrennikov, Andrei, 1958-
(författare)
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Social Fröhlich condensation : preserving societal order through sufficiently intensive information pumping
- 2022
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Ingår i: Kybernetes. - : Emerald Group Publishing Limited. - 0368-492X .- 1758-7883. ; 51:13, s. 138-155
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Tidskriftsartikel (refereegranskat)abstract
- Purpose This paper aims to present the basic assumptions for creation of social Frohlich condensate and attract attention of other researchers (both from physics and socio-political science) to the problem of modeling of stability and order preservation in highly energetic society coupled with social energy bath of high temperature. Design/methodology/approach The model of social Frohlich condensation and its analysis are based on the mathematical formalism of quantum thermodynamics and field theory (applied outside of physics). Findings The presented quantum-like model provides the consistent operational model of such complex socio-political phenomenon as Frohlich condensation. Research limitations/implications The model of social Frohlich condensation is heavily based on theory of open quantum systems. Its consistent elaboration needs additional efforts. Practical implications Evidence of such phenomenon as social Frohlich condensation is demonstrated by stability of modern informationally open societies. Social implications Approaching the state of Frohlich condensation is the powerful source of social stability. Understanding its informational structure and origin may help to stabilize the modern society. Originality/value Application of the quantum-like model of Frohlich condensation in social and political sciences is really the novel and original approach to mathematical modeling of social stability in society exposed to powerful information radiation from mass-media and Internet-based sources.
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| 3. |
- Shaharudin, Mohd Rizaimy, et al.
(författare)
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The impact of supply chain integration on reverse supply chain adoption
- 2022
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Ingår i: Kybernetes. - : Emerald Group Publishing Limited. - 0368-492X .- 1758-7883. ; 52:11, s. 5730-5751
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Tidskriftsartikel (refereegranskat)abstract
- PurposeThe aim of this study is to investigate the impact of integration capabilities on reverse supply chain (RSC) adoption and, consequently, RSCs' effectiveness. Thus, supply chain (SC) integration capabilities and their types in relation to internal, supplier and customer integration capabilities are investigated.Design/methodology/approachIn this paper a quantitative survey was conducted with Malaysian manufacturers with a certified the International Organization for Standardization (ISO) 14001 environmental management system. The entire population was utilized through census sampling; 150 useable survey responses were received. The partial least squares technique was used for the data analysis.FindingsThe results indicate that internal integration improves external integration. In addition, supplier and customer integration have a positive direct effect on the adoption of RSC activities. Though internal integration has no significant direct effect on the adoption of RSC activities, it has an indirect impact through both supplier integrative capabilities and customer integrative capabilities.Practical implicationsThe findings of this study suggest that the managers of manufacturers whose internal integrative capabilities are the base and whose SC integrative capabilities and external integrative capabilities are reinforcing SC integrative capabilities should adopt RSC activities.Originality/valueThe paper offers in-depth insight into this issue and has shed light on the ambiguities in the literature regarding the role of SC integration in RSC adoption.
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| 4. |
- Yousefi, Milad, et al.
(författare)
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Patient visit forecasting in an emergency department using a deep neural network approach
- 2020
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Ingår i: Kybernetes. - : Emerald Group Publishing Limited. - 0368-492X .- 1758-7883. ; 49:9, s. 2335-2348
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Tidskriftsartikel (refereegranskat)abstract
- This study aims to investigate factors affecting daily demand in an emergency department (ED) and to provide a forecasting tool in a public hospital for horizons of up to 7 days.In this study, first the important factors to influence the demand in EDs were extracted from literature then the relevant factors to our study are selected. Then a deep neural network is applied for constructing a reliable predictor.Although many statistical approaches have been proposed for tackling this issue, better forecasts are viable through employing the abilities of machine learning algorithms. Results indicate that the proposed approach outperforms statistical alternatives available in the literature such as multiple linear regression (MLR), autoregressive integrated moving average (ARIMA), support vector regression (SVR), generalized linear models (GLM), generalized estimating equations (GEE), seasonal ARIMA (SARIMA) and combined ARIMA and linear regression (LR) (ARIMA-LR).We applied this study in a single ED to forecast the patient visits. Applying the same method in different EDs may give us a better understanding of the performance of the model. The same approach can be applied in any other demand forecasting after some minor modifications.To the best of our knowledge, this is the first study to propose the use of long short-term memory (LSTM) for constructing a predictor of the number of patient visits in EDs.
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| 5. |
- Turi, Jamshid Ali, et al.
(författare)
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Leaders' role: now and then
- 2024
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Ingår i: Kybernetes. - 0368-492X. ; 53:3, s. 862-866
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: The purpose of the study is to assess the project leader's role in normal and new normal situations. This study aims to investigate the project leadership role in unforeseen situations and the new normal situations. Design/methodology/approach: The review is based on the content and contextual analysis. Most of the information was covered in the daily newspapers and practices were recorded in the media and social media. Moreover, recent articles were consulted for the comprehension of the phenomenon. Findings: The study finds that leaders are supposed to develop strategies to balance the organizational needs and workers' priorities. An agile approach, empathetic and collaborative approach may be more helpful to handle volatility, unstable situations, complexity and ambiguity (VUCA) situations. Research limitations/implications: The study leaders are expected to develop new strategies, collaborative thinking and a healthy workplace environment for social, emotional, physical, and psychological safety to make projects more productive. Originality/value: The review assessed the kind of leaders required in the new normal situation after coronavirus disease 2019 (COVID-19) around the globe. Such a contribution is anticipated to serve as a call for emerging leadership frameworks for the VUCA work environments of the future.
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