General Management

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http://hdl.handle.net/20.500.12519/630

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Abu Dhabi Ports' Horns of Hope: A Global Initiative During COVID-19
(Case Centre UK, 2022) Gernal, Liza; Reyes, Fernando Eraña; Sergio, Rommel
This case study highlights Abu Dhabi Ports' corporate social responsibility (CSR) efforts. It features into the organization's best practices, work methodologies, and sound tactical approaches in responding to the changes and challenges of the COVID-19 pandemic, which has paralyzed several parts of the economy across the world. The case examines how Abu Dhabi Ports demonstrated corporate social responsibility and commitment to its people. It also notes the achievements of the organization, particularly the awards it received in recognition of its people management solutions.
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.
Antecedents of employee alienation and its impact on individual work performance during post-merger integration (PMI)
(Emerald Group Holdings Ltd., 2020) Al Hosani, Yousef; Jabeen, Fauzia; Paul, Justin; Stachowicz-Stanusch, Agata
Purpose: The objective of this study was to examine the significant factors leading to employee alienation in post-merger integration (PMI). Design/methodology/approach: Data were collected from 482 middle- and low-level employees in two organizations in the real estate and banking sectors in the United Arab Emirates. The analysis was carried out using structural equation modeling (SEM). Findings: Organizational justice, employee commitment, organizational trust, perceived effectiveness of human resource (HR) initiatives and employee communication strategy played an important role in developing or mitigating a feeling of alienation among employees during PMI. Employee tenure in the organization affected individual work performance. Research limitations/implications: The study was limited to middle- and low-level employees and did not consider other organizational variables important in mergers. This study will help merger strategists to deliver appropriate HR practices during PMI, facilitating mitigation of uncertainties among employees and maximizing their trust and commitment. Originality/value: The study results will help organizations understand employee trust, commitment and determinants in an emerging economy. © 2020, Emerald Publishing Limited.
Assessing views towards energy sources with social media data: The case of nuclear energy in the UAE
(MDPI, 2021-11) Contu, Davide; Elshareif, Elgilani Eltahir; Gurrib, Ikhlaas
Insights from the analysis of views towards energy sources are of paramount importance for the setting of successful energy policies, especially in instances where the public might be reluctant towards certain projects’ implementations. This work presents an analysis of social media comments data given in response to posts around the connection to the grid of a nuclear plant reactor in the United Arab Emirates (UAE). We assessed comments on Facebook posts of local and international media, as well those written in response to a post of a social media influencer. We extracted the main themes and performed sentiment analysis. The results indicate the presence of mixed views towards nuclear energy when focusing on comments on international media’s posts as well as on the social media influencer’s post considered, whilst they were very positive when assessing comments to local media. All in all, nuclear waste and previous nuclear accidents appear to be as the top of the mind; at the same time, solar energy is often suggested in the comments as a viable energy source for the UAE. Implications for the communication of nuclear energy developments in social media are discussed. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Attitudes towards climate change and energy sources in oil exporters
(Elsevier Ltd, 2021-11) Contu, Davide; Kaya, Ozgur; Kaya, Ilker
Switching to energy mixes that use more non-fossil fuels is critical to reduce greenhouse gas emissions to tackle climate change. Climate change poses a major challenge to oil exporting Gulf countries, like the rest of the world, but research on human views on energy and climate change is limited. We aim to fill this gap by focusing on the UAE, a nation with a peculiar demographic composition that includes an overwhelming proportion of expatriates and transitions towards green and nuclear resources. We examine whether transiency of residence and life satisfaction play a role in influencing perceptions about climate change and energy sources. We also analyze how expatriates' opinions differ from UAE citizens who have significantly higher income and welfare benefits. © 2021 The Authors
Building a World that Works for Tomorrow: General Electric's Integrated Approach to Leading with Integrity
(Case Centre UK, 2022) Sergio, Rommel
This case study looks into the integrated approach of General Electric (GE) in leading with integrity. Specifically, the case highlights GE's corporate social responsibility and ethical practices. The company leads by example, and integrity is woven into everything it does as part of the business, including safeguarding its people and taking care of the environment. As a high-tech industrial company, GE's operations impact the environment one way or another; thus, it is worth looking at how the company ensures that it is minimizing that impact. Furthermore, the case examines various initiatives of GE to invest in its people, reduce the impact on the environment, and innovate to build better tomorrow for healthcare and aviation.
Causality analysis in business performance measurement system using system dynamics methodology
(American Institute of Physics Inc., 2014) Yusof, Zainuridah; Yusoff, Wan Fadzilah Wan; Maarof, Faridah
One of the main components of the Balanced Scorecard (BSC) that differentiates it from any other performance measurement system (PMS) is the Strategy Map with its unidirectional causality feature. Despite its apparent popularity, criticisms on the causality have been rigorously discussed by earlier researchers. In seeking empirical evidence of causality, propositions based on the service profit chain theory were developed and tested using the econometrics analysis, Granger causality test on the 45 data points. However, the insufficiency of well-established causality models was found as only 40% of the causal linkages were supported by the data. Expert knowledge was suggested to be used in the situations of insufficiency of historical data. The Delphi method was selected and conducted in obtaining the consensus of the causality existence among the 15 selected expert persons by utilizing 3 rounds of questionnaires. Study revealed that only 20% of the propositions were not supported. The existences of bidirectional causality which demonstrate significant dynamic environmental complexity through interaction among measures were obtained from both methods. With that, a computer modeling and simulation using System Dynamics (SD) methodology was develop as an experimental platform to identify how policies impacting the business performance in such environments. The reproduction, sensitivity and extreme condition tests were conducted onto developed SD model to ensure their capability in mimic the reality, robustness and validity for causality analysis platform. This study applied a theoretical service management model within the BSC domain to a practical situation using SD methodology where very limited work has been done. © 2014 AIP Publishing LLC.
Challenges of AI Adoption in the UAE Healthcare
(Sage Publications India Pvt. Ltd, 2022-06) Al Badi, Fatma Khamis; Alhosani, Khawla Ali; Jabeen, Fauzia; Stachowicz-Stanusch, Agata; Shehzad, Nazia; Amann, Wolfgang C.
The purpose of this study is to prioritize the challenges of adopting Artificial Intelligence (AI) in the healthcare sector of the United Arab Emirates (UAE). An Analytic Hierarchy Process (AHP) method was used, and the data were collected from the managerial-level executives (n = 27) involved in AI adoption in their respective healthcare organizations. The results prioritized the AI main criteria and sub-criteria based on their priority weights in the healthcare sector. The results also revealed that accuracy, privacy and security criteria are the most important factors to optimize the healthcare sector with AI. The research findings shall help policymakers formulate suitable strategies with current adoption and acceptance of AI in the healthcare sector. The findings will help policymakers utilize this study’s outcomes to create a well-defined picture of AI’s actual adoption and acceptance in the healthcare sector. © 2021 Management Development Institute.
Complementing choice experiment with contingent valuation data: Individual preferences and views towards IV generation nuclear energy in the UK
(Elsevier Ltd, 2020-01) Contu, Davide; Mouratob, Susana
Determinants Linked to Executive Succession Planning in Public Sector Organizations
(Sage Publications India Pvt. Ltd, 2020) Al Suwaidi, Muna; Jabeen, Fauzia; Stachowicz-Stanusch, Agata; Webb, Matthew
Succession planning is important for organizational growth and business sustainability in the public sector. However, few organizations have attempted to introduce the concept and practice. This article aimed to identify and prioritize the factors that influence executive succession planning in the public sector in the United Arab Emirates (UAE), using the analytic hierarchy process. A model was developed with 5 criteria and 29 sub-criteria and tested using data collected from 40 interviews with top executives from various public sector organizations. The findings showed that succession planning strategy, organizational culture and leadership development opportunities were the most significant factors linked to executive succession planning in the UAE public sector. A framework for decision-makers was developed which could be used to overcome some of the challenges of executive succession planning. It is hoped that this study will help policymakers to formulate suitable policies and strategies to promote executive succession planning in public sector organizations. It will also help them to implement best practice in this field. © 2020 Management Development Institute.
Dubai International Financial Centre’s updated data protection law-part 1: developing a modern, global law in a UAE financial free zone
(Henry Stewart Publications, 2020) Baker, Lori; Beeton, Julie
It is a little-known fact that in the Middle East, a data protection law very similar to the original EU Directive of 1995 and the UK Data Protection Act of 1998 exists. But the Dubai International Financial Centre (DIFC) is the purveyor of this law, which is in force since 2007 and undergoing an overhaul to be completed by December 2019. The updated law combines international data protection standards of the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act with innovative, new concepts that work for the DIFC’s FinTech/X-tech incubator. Ultimately, the goal is to obtain adequacy recognition by the European Commission. This paper tells us how such a law was created and how a small jurisdiction in the United Arab Emirates is making big strides in data protection. © Henry Stewart Publications 2398-1679 (2020).
Exploring the mediating role of feedback environment in the relationship between supervisors’ emotional intelligence and employees’ performance: Feedback environment
(IGI Global, 2019-07) Khan, Saif; Anjam, Mahwish; Abu Faiz, Mohammad; Khan, Faisal
This empirical study examines the relationship between the measured perception of the supervisor’s emotional intelligence and the employee workplace performance, as it is impacted by the mediating effect of the supervisor’s feedback environment. Data were collected from selected faculties of higher education institutions within Dubai, United Arab Emirates (UAE) by means of a cross-sectional quantitative survey using a random probability sampling technique. Statistical techniques used for the purpose of data analysis include, descriptive statistics, Pearson’s correlation coefficient, confirmatory factor analysis, and structural equation modeling. The data analysis confirmed all of the research hypotheses excluding the impact of a supervisor’s use of emotions on the feedback environment. However, the data from the feedback environment indicates a significant mediating impact upon the relationship between supervisor’s emotional intelligence and the subordinate’s work performance. This study establishes the role of the supervisor’s emotional intelligence in defining the feedback environment as they deal with faculty members’ quality of work. Copyright © 2019, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
Greater acceptability, lower compensations required? The impact of perceived net benefits on willingness to accept nuclear energy projects
(Emerald Group Holdings Ltd., 2022-01) Contu, Davide; Elshareif, Elgilani
Purpose: This paper aims to estimate willingness to accept (WTA) hypothetical nuclear energy projects and the impact of net perceived benefits across three countries: Italy, a country without nuclear plants in operation; the UK, a country with nuclear plants in operation and the United Arab Emirates (UAE), which has more recently opted for the inclusion of nuclear energy in its energy mix. These valuations can support cost-benefit analyses by allowing policymakers to account for additional benefits and costs which would be otherwise neglected. Design/methodology/approach: Data collection was conducted through online nationwide surveys, for a total of over 4,000 individuals sampled from Italy, the UK and the UAE. The surveys included choice experiments designed to elicit preferences towards nuclear energy in the form of WTA, indicating estimated compensations for welfare worsening changes and questions to measure perceived risks and benefits. Findings: The average WTA/Km is the lowest for the case of the UAE. What is more, perceived net positive benefits tend to decrease the WTA required by the UAE respondents? Moreover, across the cases, albeit to a lesser extent with regard to Italy’s case, there is evidence that a more positive benefit perception seems to increase the valuation of environmental and public benefits offered as part of the experiment. Originality/value: The contribution of this study is primarily twofold: first, it provides a comparison of WTA values in a context where the availability of choice experiment data is scant; second, it assesses whether and to what extent perceived net positive benefits of nuclear energy impact WTA of nuclear energy projects. © 2021, Emerald Publishing Limited.
Implementing a Mass Customization Business Model in the Health Industry
(Springer Science and Business Media B.V., 2017) Poulin, Marc
The healthcare industry is undergoing many challenges due to rising costs, lower governmental support, and ineffectiveness of many treatments. One popular approach to address these issues is the P4 vision where prevention and patient participation is paramount. To implement these newer approaches, there are business process challenges in order to control costs and offer the new personalized approach. The mass customization business model has been successful in offering various levels of personalization with costs and delivery delays similar to mass production. Although it has been researched and implemented for the manufacturing industry, research has shown potential in the service industry. This article presents a business model founded on mass customization to address certain challenges in the health industry. The article discusses the issues and presents an approach to remedy the problems. The business model is demonstrated through an actual global health company head quartered in Dubai. © 2017, Springer International Publishing Switzerland.
Individual preferences towards nuclear energy: the transient residency effect
(Routledge, 2020) Contu, Davide; Mourato, Susana; Kaya, Ozgur
Nuclear energy is an energy source that is usually unfavourable among the public due to its inherent risks. However, it presents a number of benefits, including the possibility to reduce emissions and the contribution to tackle climate change. Among the countries adopting nuclear energy, the United Arab Emirates (UAE) is unusual in that a large share of its residents consists of expatriates who live only part of their lives in the country with no (or highly unlikely) access to citizenship. This distinctive population structure offers the opportunity to investigate the effect of transient residency on acceptance and preferences towards nuclear energy. We conducted this investigation by designing a stated preferences-based survey, targeting an online nationwide sample. The survey collected information on socio-economic characteristics and attitudes, including views on perceived risks and benefits of nuclear energy, views towards different energy sources and life satisfaction. Results indicate that transient individuals, especially those who are more satisfied with their lives in the UAE, are significantly less likely to oppose the construction of new nuclear plants. These individuals are characterized by a more positive perception of benefits over risks arising from nuclear energy. Policy implications are discussed. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
Innovativeness and Involvement: An Unexpected Purchase Due to a Referral Behavior
(Institute of Electrical and Electronics Engineers Inc., 2022) Ramzan, Fizza; Ramzan, Izza; Ibrahim, Muhammad; Tangri, Kiran; Al-Kassem, Amer Hani; Inairat, Mohammad; Marwaha, Sunita; El Khatib, Mounir
Intercultural Competencies for Career Advancement: A Comparative Study of Managerial Competencies in United Arab Emirates and Malaysia
(Springer Science and Business Media B.V., 2017) Haladay, Diana J.; Sergio, Rommel Pilapil; Makki, Ahmed M.; Zarim, Zainal Abu; Ismail, Mohd Nor
This research paper examines competencies and career advancement of 338 managers in two different countries: the United Arab Emirates and Malaysia. The descriptive-correlational survey method has been utilized. Research findings show that managerial competencies are similar across the two countries. It also reveals that managerial competencies are also a strong predictor of career advancement. There is limited research on the impact of culture on competencies and career advancement in non-Western countries. Thus, this research study benchmarks the similarities and differences of the impact of culture and competencies in career advancement at the managerial level in these two non-Western countries. © 2017, Springer International Publishing Switzerland.
Is Blockchain Technology Applicable in Small and Medium-Sized Enterprises?
(Springer Science and Business Media Deutschland GmbH, 2021) Chabani, Zakariya; Hamouche, Salima; Said, Raed
The purpose of this research is to investigate the applicability of blockchain technology in Small and Medium Enterprises (SMEs). We have examined the advantages and the disadvantages of the use of this emerging technology in SMEs, based on the existing literature on this research topic. Applying blockchain in SMEs has many advantages: promoting transparency in the organization, facilitating market analysis for better decision-making, eliminating reconciliation costs, and making auditing easier. However, it has some disadvantages, such as; the reshuffling of job positions and the absence of clarity related to the industrial standards. Therefore, we proposed some recommendations in order to adopt this technology successfully. Firstly, the SMEs should design the distributed ledger technology (DLT) in a way to have flexible governance and regulations so that it will be easily upgradeable; additionally, it is essential that the adopted DLT design by an SME can be migrated to a different blockchain whenever the need arises. Also, DLT designers should ensure that measures are taken to limit the collection of personal information. The SMEs should also establish trust and interoperability to realize the full benefits of DLT. Finally, SMEs should invest in research that will ensure more knowledge about the perfection of blockchain technology. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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.
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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