General Management

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    Radioactive source search problem and optimisation model based on meta-heuristic algorithm
    (Sciendo, 2022) Zhang, Min; Lu, Xuewen; Hoffman, Ettiene; Kharabsheh, Radwan; Xiao, Qianghua
    In the process of rational development and utilisation of nuclear energy, people often face nuclear accidents such as lost and stolen radioactive sources; so, the means of searching for these sources quickly in highly radioactive environments is an important security challenge. In the past, these jobs were limited to workers specialising in nuclear technology. They used gamma-ray detection equipment to search for radioactive sources, but the search efficiency was low. The main purpose of this article is to design a meta-heuristic algorithm based on imitating professional technicians to locate radioactive sources in a computer-aided manner. At the same time, due to the complexity that may characterise the actual search, the search strategy must be optimised. The article established an intelligent random search model with human thinking. Finally, it was proved based on the mathematical theory that the complexity of the model search algorithm is linear, and the simulation experiment results show that the optimisation algorithm has good efficiency and fault tolerance. © 2021 Min Zhang et al., published by Sciendo 2021.
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    Performance evaluation of college laboratories based on fusion of decision tree and BP neural network
    (Sciendo, 2022) Yujie, Chang; Weimin, Gao; Chelli, Karim; Muttar, Ahmed K. H.
    Performance evaluation can promote the continuous improvement of the laboratories in a college. It is necessary to take into account the scientific evaluation method during the process of the performance evaluation. In this paper, a performance evaluation method based on the fusion of the decision tree and BP neural network is presented. In detail, the decision tree model is used to select performance evaluation indexes with high weight. The BP neural network was adopted aiming to reduce the impact of assessment prediction of classification by non-core factors. First, the data were pre-processed by trapezoidal membership function. Then, the decision tree was generated by the C4.5 algorithm to select the evaluation indexes with high weight. Then, the BP neural network was trained with as many samples as possible by evaluation indexes; it possesses experts' experience which can be used to predict the performance evaluation results. The method overcomes the shortages of the separate model, eliminates the disturbance of human factors and improves the accuracy of the evaluation. Experiments show that the model is feasible and effective in performance evaluation of college laboratories. The outcomes of this work can provide a scientific evaluation method for people such as researchers, college administrators and laboratory managers. Also, this paper will help them to improve the management of laboratories and provide them with decision references for constructing the laboratories. © 2021 Chang Yujie et al., published by Sciendo 2021.
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    Adopting Business Analytics to Leverage Enterprise Data Assets
    (Springer Science and Business Media B.V., 2017) Djerdjouri, Mohamed; Mehailia, Abdelghani
    In today’s rapidly changing business environment, advances in information and communication technologies are happening at a very fast pace. As a result, firms are under constant pressure to quickly adapt, be competitive, and identify new business opportunities. Also, the amount of data collected by organizations today is growing at an exponential rate and includes structured as well as new types of large and real-time data across a broad range of industries such as streaming, geospatial, social media, or sensor-generated data. Enterprise data have become an invaluable strategic asset. Many organizations are using modern Business Analytics (BA) to extract new insights and the maximum possible value from these data assets, which will enable them to make timely and accurate decisions. In this paper, we briefly describe business analytics and discuss how leading world class organizations are adopting it and the technology environments that make it relatively easy and inexpensive and, the subsequent competitive benefits they have achieved. In addition, we will report some findings from surveys of executives, managers, and professionals across industries about the use of analytics in their organizations, done recently by IBM, SAS, MIT, and Gartner. Also, we will briefly address the organizational, cultural, and technological challenges faced by organizations embracing business analytics. Finally, we will discuss the unique obstacles and challenges encountered by firms in developing countries with the goal of raising awareness of organizations in the MENA region not only about these impediments but also about the benefits of these technologies and the crucial role they play in the survival and competitiveness of the firm in the complex and turbulent global market. © 2017, Springer International Publishing Switzerland.
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    A Web-Based Benchmarking Tool and Database for SMEs: Research in Progress
    (Springer Science and Business Media B.V., 2017) Ahmad, Norita; Maarof, Fariedah; Elshareif, Elgilani Eltahir; Opulencia, Jade
    This research focuses on developing a standard benchmarking tool and database that can be used by SMEs in the UAE to evaluate themselves against their competitors. The project presents an adaptation of an existing tool, QuickView, already in use in the USA. The short-term objectives of the project are to determine whether QuickView could be usable in the UAE, and to test whether SMEs in the UAE could be evaluated against the 4000 US SMEs on the QuickView database. Eventually, the goal is to help SMEs in the UAE improve bottom-line performance by transforming their practices for competitive advantage. © 2017, Springer International Publishing Switzerland.
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    The Relationship Between Conflict Management and Job Performance
    (Springer Science and Business Media B.V., 2017) Majid, Mohd Yunus; Maarof, Fariedah
    The aim of this study is to examine the relationship between conflict management (CM) and job performance (JP). There are five styles of conflict management which are integrating, dominating, obliging, avoiding, and compromising. However, in this research the author only focuses on integrating, obliging, and compromising styles which are considered as our independent variables and job performance as our dependent variable. Accordingly, dominating (high concern for self and low concern for others) and avoiding (low concern for self and others) styles do not fit Malaysian culture. Data consists of respondents in the banking sector. Correlation analysis was used to support the findings. It was found out that obliging and compromising have a significant relationship with job performance while no relationship exists between integrating and job performance. It appears that the reserved and soft-spoken Malaysian would opt to sacrifice their goals (obliging) and can easily agree with the outcomes of the conflict management (compromise), as supported by research findings by Wang et al. (Manag Int Rev 45:3–21, 2005). The individualistic-collectivist culture characteristics indicate different approaches between Western and Asian managers in handling conflict management, Wang et al. (Manag Int Rev 45:3–21, 2005). © 2017, Springer International Publishing Switzerland.