Faculty of Management

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    A Proposed Architecture for Traffic Monitoring Control System via LiFi Technology in Smart Homes
    (Institute of Electrical and Electronics Engineers Inc., 2022) Asif, Muhammad ; Khan, Tahir Abbas ; Taleb, Nasser ; Said, Raed A. ; Siddiqui, Shahan Yamin ; Batool, Ghanwa
    Realizing secure and fast communication in smart homes is still a challenging task due to slow and imperfect information reception from end nodes for proper traffic control. The image data captured through high-resolution cameras demand high-speed data link nodes having a capacity of more than 10 Gbps. The advancement in technologies makes it possible to send accurate and timely images data to store in clouds. LiFi is a wireless technology that uses lights for data transmission between devices. The speed of LiFi is 100 times greater than Conventional WiFi Technology. A Proposed Architecture for Traffic Monitoring Control systems via LiFi Technology in Smart Homes is presented in this paper. The proposed model is the multi-purposed model like we can control, manage and identify traffic vehicles on time. © 2022 IEEE.
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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.
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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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    Adoption of eco-friendly cars: mediated effects of attitude and moderation role of gender diversity across UAE market: application of extended version of theory of planned behaivour
    (Springer, 2022) Khan, Hashim ; Saif-ur-Rehman ; Qadus, Abdul ; Jan, Sharif Ullah ; Aamir, Alamzeb
    It is expected that the widespread adoption of eco-friendly vehicles (EFVs) could contribute to the mitigation problem of sustainability. Though EFVs have been developed rapidly with government support, yet they are a relatively small share in the UAE, and the mainstream of consumers are reluctant to adopt them. Therefore, for the effective growth of EFVs, we applied the “Theory of Planned Behavior (TPB)” in combination with environment knowledge (EK) and environment concern (EC) to explore EFVs purchase intentions (EVPI) in a developing economy of UAE. The findings show that EK, EC, attitude, and perceived behavioral controls (PBC) are positive and significant determinants of EVPI. We also find positive and significant impacts of EK and EC on EVPI. Further, it is found that the introduction of attitude as intermediation improves the relationship between EC, and EK, and EVPI. Lastly, findings also depict the association between attitude and PBC, and purchase intention is moderated by gender (female). This study helps to increase the economic method of the country. Also, it helps in finding of behavior patterns by using the TPB. Importantly, we provide evidence supporting the positive and significant association between EVPI and EFV in UAE. As far as practical implications are concerned, the study provides useful insight in the context of the adoption EFVs, and other countries in the region can benefit from the findings. Particularly, the antecedent factors may specify aims for precise practical intrusions intended to improve pro-environmental behavior. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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    An Analysis Safe Protocols Employed in Professional Male Soccer and the Impacts of the COVID-19 Pandemic on the 2020 Brazilian Championship
    (MDPI, 2021) Mataruna-Dos-Santos, Leonardo Jose ; Albuquerque, Pedro da Gama Roberto de ; Vasconcellos, Gabriel de Almeida ; Nascimento, Rodrigo Mendonça do ; Cavalari, Nadine Tonelli ; Range, Daniel ; Guimarães-Mataruna, Andressa Fontes ; Ortiz-Silva, Bianca
    The COVID-19 pandemic directly reached and impacted upon elite sports and caused the postponement of sporting events globally. In order to enable the return of activities, protocols were created with recommendations to prevent the transmission of COVID-19. The objective of this work is to analyze and compare the safe return protocols of major football leagues and associations to those of the Brazilian Championship, as well as to survey the numbers of COVID-19 outbreaks in clubs that competed in the 2020 Brazilian Championship Series A. The documentary research was carried out through the analysis of articles published on open-source football league and federation websites. National and international return protocols were verified, as well as the documenting of isolated cases and outbreaks of COVID-19 in the Brazilian Championship. In the Brazilian Championship, the return to play occurred at a time when COVID-19 case numbers were rising, a fact that, together with the decentralization of the match cities, was likely linked to the number of positive cases. A total of 302 positive cases of COVID-19 were identified in 14 outbreaks during the competition. Therefore, this work identifies good practice and underscores the need to reassess and refine the protocols to minimize the impacts of COVID-19 going forward. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    Análise documental dos pecs de educação olímpica certificados pelo comitê Brasileiro Pierre de Coubertin
    (Gama Assessoria Empresarial, 2021) Perovano-Camargo, Leonardo ; Mataruna-Dos-Santos, Leonardo Jose ; da Silva, Otávio Guimaraes Tavares
    Partindo do princípio da existência de uma influência mútua entre as manifestações esportivas e os valores que as sociedades carregam, tem-se que o esporte, enquanto fenômeno socializador, porta alguma concepção de valor. Isto permite pensar a legitimação histórica das práticas esportivas enquanto metalinguagens axiológicas. Os temas educacionais do olimpismo são a alegria do esforço; o jogo limpo; o respeito pelos outros; a busca pela excelência; e o equilíbrio entre corpo, vontade e mente. Esses valores podem ser ensinados a partir da educação formal (escolar), educação informal (o ambiente onde se vive) ou ainda, na educação não formal (iniciativas não-escolares de ensino). A experiência mostra que de forma geral, programas de educação olímpica podem ser classificados como “educação não formal” (atividades educativas com algum grau de intencionalidade e sistematização, não regidas pelas leis da educação nacional). No Brasil, os programas de educação olímpica certificados pelo Comitê Brasileiro Pierre de Coubertin - Estação Conhecimento (EC) – núcleo Cidade Continental, em Serra/ES – e a Fundação Tênis (FT) – seis núcleos em SP e oito núcleos em RS - podem ser classificados como iniciativas de educação não formal. Porém ainda não temos conhecimento suficiente sobre estes programas. Assim, este trabalho teve por objetivo identificar, descrever e analisar suas categorias teóricas. O método adotado foi o da pesqui- 59 sa documental. Além dos documentos digitais escolhidos (sites oficiais e postagens em redes sociais relacionadas), recolheu-se como “documentos físicos tradicionais” o Projeto Final Aprovado, as Ações para o Comitê Brasileiro Pierre de Coubertin, e a Proposta Pedagógica de Esporte da Estação Conhecimento e o Estatuto da Fundação Tênis. Os dados foram analisados a partir das categorias de inclusão social sistematizadas por Richard Bailey e da tipologia de projetos sociais esportivos descrita por Geoff Nichols. A partir das análises feitas nos documentos, classifica-se, em relação à tipologia de nível de risco dos participantes, como “secundária”, pois os dois projetos trabalham com crianças e adolescentes em situações consideradas vulneráveis. Pode-se classificar o mecanismo de ação dos projetos, a partir do relatado em seus documentos, como o de “desenvolvimento pró-social”. No entanto, apesar dos objetivos e metas proclamados, não se percebeu formas de avaliação dos componentes da inclusão social ou sobre os temas da educação olímpica. (C) Gama Assessoria Empresarial, 2021.
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    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.
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    Application of Higher-Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast
    (Sciendo, 2022) Zhang, Liqin ; Tian, Xiaojing ; Chabani, Zakariya
    In order to improve the efficiency of dynamic system prediction modelling, this paper proposes a predictive model based on high-order normal differential equations to obtain an explicit model. The high-order constant differential equation model is reduced, and the numerical method is used to solve the predictive value. The results show that the method achieves the synchronisation of model establishment and parameter optimisation, in addition to greatly enhancing the modelling efficiency. © 2021 Zhang et al., published by Sciendo.
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    Are cryptocurrencies affected by their asset class movements or news announcements?
    (Malaysian Economic Association, 2019) Gurrib, Ikhlaas ; Kweh, Qian Long ; Nourani, Mohammad ; Ting, Irene Wei Kiong
    This study analyses whether returns of top market capitalised cryptocurrencies are affected by their movements or major global macroeconomic news. Daily data are collected for the leading 10 cryptocurrencies from July 2017-December 2018. This study, (i) tests whether lagged variables can help predict other variables' returns through a vector autoregression (VAR) model, (ii) analyses the response of cryptocurrencies to one standard deviation shock on Bitcoin's returns, and (iii) decomposes factors that contribute to variance and tests for structural breaks. Findings show that most cryptocurrencies do not significantly affect other variances, except for Monero, which represented between 19% and 45% of the variances of five cryptocurrencies. Autoregressive (AR) models are superior in forecasting one day ahead return forecasts, compared to the VAR model, whereas the random walk (RW) model ranked last. Although remarkable structural breaks are observed via impulse response functions during December 2017-January 2018, no major news announcements were released on the same day the breaks occurred. Overall, this study suggests the need for high-frequency cryptocurrency prices to tackle the issue of the relationship between intraday news release and cryptocurrencies. © 2019 Malaysian Economic Association. All rights reserved.
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    Assessing the enterprising tendencies of Arab female undergraduate engineering students in the Sultanate of Oman
    (SAGE Publications Ltd, 2020-03) Yasin, Naveed ; Khansari, Zeinab ; Sharif, Taimur
    This study assesses the enterprising characteristics of first-year undergraduate Omani female chemical engineering students in Muscat, Oman. Pre and post surveys were conducted with 27 respondents from an entrepreneurship boot camp module mandated by the Oman Ministry of Higher Education. The variables, measured on a 10-point Likert scale, included need for achievement, need for autonomy, creativity, risk-taking, and locus of control. Statistical analysis was performed on the integrated data to measure the impact of student learning using a t-test approach and comparing mean averages. This was followed by qualitative semi-structured interviews that were examined using thematic analysis. The comparison of students’ enterprise tendencies before and after the module indicates minor to moderate improvements in their entrepreneurial abilities and their understanding of entrepreneurial behavior. The most noticeable impact was on students’ risk-taking abilities, followed by their creativity, need for achievement, need for control, and, lastly, their need for autonomy. The findings illustrate that students perceived entrepreneurship positively but were concerned about the scheduling of the module and its integration into their core program of study. Students may have benefited further from a module of extended duration as opposed to the block delivery “boot camp” mode of learning. Due to the limited number of participants and the focus on female students only, the results of the study cannot be generalized. However, the article presents an initial exploration of and offers insights into enterprising characteristics among an empirically underexplored demographic and nonbusiness group. © The Author(s) 2020.
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    The Assessment of the Global Financial Crisis on Dubai Financial Market Performance
    (Springer Science and Business Media B.V., 2017) Jarouf, Ahmed K. Al ; Mansoori, Mohammed Al ; Nooraddin, Suzan ; Elshareif, Elgilani Eltahir
    The United Arab Emirates (UAE) has implemented its long-term vision 2021. The main goal of this vision is to diversify the economic activity to edge up on the back of non-oil sector, despite the fact that UAE’s economy is considered one of the most diversified economies across the region. The significant drop in oil prices in addition to performances of other global markets represents a challenge for Dubai stock market. This may have an important effect on the share prices of Dubai stock market and its performance. In this chapter, we collect market data for oil prices, US NASDAQ Composite, and DFM from the official website of Dubai Financial Market (www.dfm.ae ) and (www.nasdaq.com ) to explore the patterns of pre-after the global financial crisis performance and to observe the performance of the Dubai financial market in comparison to NASDAQ. We also look at the impact of drop in oil price on the performance of DFM. Our results support that the DFM performed well after the crisis. However, the lower oil prices have reversed this situation. © 2017, Springer International Publishing Switzerland.
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    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
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    The Behavioural Aspects of Financial Literacy
    (Multidisciplinary Digital Publishing Institute (MDPI), 2021-09) Gerth, Florian ; Lopez, Katia ; Reddy, Krishna ; Ramiah, Vikash ; Wallace, Damien ; Muschert, Glenn ; Frino, Alex ; Jooste, Leonie
    In this paper, we investigate the contribution of behavioural characteristics to the financial literacy of UAE residents after controlling for demographic factors. Specifically, we test the relationship between financial literacy and behavioural biases such as representativeness, self-serving, overconfidence, loss aversion, and hindsight bias. Using data collected through survey questionnaires, we apply the methodology developed by the Organization of Economic Co-operation and Development (OECD) to compute financial literacy scores. Our overall results show that all behavioural biases except for overconfidence bias are positively related to financial literacy. Furthermore, some biases exhibit a stronger quantitative relationship with financial literacy than others. For example, hindsight bias displays the strongest link to financial literacy, followed by self-serving bias. The weakest but still statistically significant effect is loss aversion bias. Although biases, in general, have negative connotations, behavioural biases appear to be related to higher levels of financial literacy. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    Benchmarking in Vietnam universities : teaching and research and revenue efficiencies
    (Springer, 2020) Tran, Phung Phi ; Kuo, Kuo-Cheng ; Lu, Wen-Min ; Kweh, Qian Long
    Assessing university resource allocation or misallocation is necessary to understand its impact on research and teaching productivity. To achieve this insight, this study conducts a two-stage data envelopment analysis to judge the “teaching and research efficiency” and “revenue efficiency” of 61 universities in Vietnam. We analyze what variables have the most effect on the efficiencies of the universities through improving results. Moreover, this research applies scale elasticity to distinguish the benchmark performance leader among Vietnam universities. Results indicate that universities are more efficient in terms of “revenue efficiency” than “teaching and research efficiency.” The scale elasticity decomposition findings show that multidisciplinary universities perform better than those specializing in science and technology and social science and economics. Finally, the competitive map to performance advancement strategies is exhibited. This map helps the university management to enhance their efficiencies. © 2020, Education Research Institute, Seoul National University, Seoul, Korea.
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    A between-subject design to evaluate students' employability in the Lebanese labor market
    (Emerald Group Holdings Ltd., 2021) Kertechian, Kevin Sevag ; Karkoulian, Silva ; Ismail, Hussein N. ; Aad Makhoul, Samar Samir
    Purpose: This study aims to examine the effect of experience abroad, academic success and university reputation on students' employability in the Lebanese labor market. Design/methodology/approach: The study uses a between-subject design to identify whether academic success, university reputation and experience abroad have an impact on how potential recruiters (i.e. employers) are perceiving student employability. The study uses 16 fictitious applications of business graduates, which differed in grade-point average, university reputation and experience abroad, rated by 784 Lebanese professionals. Findings: The results suggest that high-performing students with experience abroad and high-performing students from a reputable university are perceived to be more employable. For low-performing students, having completed an experience abroad results in a lower reward in terms of employability. Research limitations/implications: The present study offers an analysis of students' employability through employers' lens; it offers insights for students on how to be perceived as more employable in a context where competition among future workers is fierce. Practical implications: The results of this research provide a roadmap for graduates for enhancing their employability in Lebanese markets and offer actionable insights to employers. Originality/value: The most original contribution of this study is the analysis of university reputation impact on the likelihood of receiving positive feedback during the evaluation process. The impact of two Lebanese universities, one ranked in the QS ranking and one not, was investigated. © 2021, Emerald Publishing Limited.
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    Bitcoin price forecasting: Linear discriminant analysis with sentiment evaluation
    (Association for Computing Machinery, 2021-08-25) Gurrib, Ikhlaas ; Kamalov, Firuz ; Smail, Linda
    Cryptocurrencies such as bitcoin have garnered a lot of attention in recent months due to their meteoric rise. In this paper, we propose a new method for predicting the direction of bitcoin price using linear discriminant analysis (LDA) together with sentiment analysis. Concretely, we train an LDA-based classifier that uses the current bitcoin price information and Twitter headline news in order to forecast the next-day direction of bitcoin price. The proposed model achieves highly accurate results beating several benchmark targets. In particular, the proposed approach produces forecast accuracy of 0.828 and AUC of 0.840 on the test data. © 2021 Association for Computing Machinery. All rights reserved.
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    Board meeting frequency and financial performance : a case of listed firms in Vietnam
    (Universiti Malaysia Sarawak, 2018) Hanh, Le Thi My ; Ting, Irene Wei Kiong ; Kweh, Qian Long ; Hoanh, Lam Thi Hoang
    This study investigates the effect of board meeting frequency on the financial performance of listed firms in a fiscal year. We use 94 firms listed on Ho Chi Minh Stock Exchange from 2013 to 2015. Financial performance is measured as returns on asset, equity and sales. Results show that board meeting frequency exerts a negative effect on the financial performance of the sample firms. High board meeting frequency equates to low returns on asset, equity and sales. Overall, the quality of board meetings is an important factor that contributes to financial performance. © 2018, Universiti Malaysia Sarawak. All rights reserved.
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    Branding heritage tourism in Dubai: A qualitative study
    (Akdeniz University Publishing House, 2021) Haq, Farooq ; Seraphim, Joanna ; Medhekar, Anita
    This qualitative paper explores tourism branding for Dubai to develop brand differentiation based on factors influencing heritage tourism. Data was collected through direct interviews with relevant tourists and tourism experts. The paradigm of critical realism was adapted to analyze the data with thematic analysis by extracting related themes. Five emerging themes have been identified: perception of brand authenticity in heritage tourism, Dubai’s tourism offerings, heritage branding, marketing suggestions, and heritage tourism valorization. Research outcomes present a strategy for brand marketing Emirati heritage tourism as new strategic advances in tourism management. Practical implications suggest that heritage tourism can achieve brand differentiation among heritage tourism destinations by leveraging authenticity and modernity. This paper contributes to the theory of tourism marketing and management, with the unique case of branding Dubai as part of UAE heritage tourism, by adopting brand communication, brand identity, brand positioning, and brand personality strategies. © 2021 Akdeniz University Publishing House. All rights reserved.
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    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.
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    Business Cycle Forecasts and Futures Volatility
    (Springer Science and Business Media B.V., 2017) Belhaj, Hanene ; Larbi, Dorra
    This chapter assesses the extent to which the US business cycle is affected by fluctuations in futures price while controlling for other macroeconomic and financial variables. We examine the usefulness of futures volatility to predict whether or not the US economy will be in a recession. Our study builds on two research veins. The first is comprised of many studies that attempt to predict business cycles by using a range of economic variables. Many of these studies emphasize the role of financial variables in macroeconomic forecasts (Estrella and Mishkin, Review of Economics and Statistics, 80(1):45–61, 1998). This role has been certainly exacerbated during the recent financial crisis of 2007–2009. The second vein originates within the literature which widely recognizes the role of financial variables such as prices of financial instruments as leading indicators (Estrella and Mishkin, Review of Economics and Statistics, 80(1):45–61, 1998). In US data for example, equity returns and the short-term interest lead GDP growth by one or two quarters (Backus et al., Asset prices in business cycle analysis (manuscript), 2007). Commodities, combined with stocks, are one of these financial instruments that were involved in the macroeconomic forecasts. Our study examines futures volatility as predictors of US recessions. The volatility of this instrument could be an indicator of the economic situation. This study aims at either confirming or invalidating that periods of economic downturns are characterized by a high volatility in the index futures market. © 2017, Springer International Publishing Switzerland.