Higher Colleges of Technology
  • Abu Dhabi, United Arab Emirates
Recent publications
Advancement in the anaerobic digestion of sewage sludge for biogas production is constantly required for effective commercialization. There is great interest in exploring the scientometric and technical assessment in biogas production using sewage sludge from various sources in the anaerobic digestion process. Therefore, this work provides a bibliometric and technical study of anaerobic digestion for biogas production from sewage sludge in the last ten years, based on Web of Science data. The vital parameters of the bibliometric study are authors, countries, and institutional collaboration along with the authors' keywords. In terms of technical assessment, challenges are highlighted with critical analysis of previous work performed both on a laboratory scale and on a pilot scale. The study recommends key considerations and new combination techniques to enhance biohydrogen production with optimized process conditions which will provide vital economic impact for technological adaptation and commercialization.
The complexity of modern power systems has introduced more challenging aspects for stability. These challenges are due to the increase in stressed and constraint conditions. To resolve this issue, a novel adaptive fuzzy decentralized-based finite-time excitation control scheme has been proposed. The proposed scheme is aimed to be deployed for a large scale power systems with output and input constraint requirements. To handle these constraints, the backstepping design with a tan-type barrier Lyapunov function (BLF) is presented. Also, the parametric system uncertainties that model the power system dynamics are approximated using the fuzzy logic systems. This would eventually make the design completely decentralized due to bound-free interactions and constraints. While considering the time-varying constraint requirements on the power system outputs, a finite-time convergence of the power system output tracking errors into a small set around zero is further guaranteed. The proposed control scheme is then validated on a four-area interconnected power system subject to load fluctuations. Numerical results show the efficacy of the proposed approach. https://authors.elsevier.com/c/1eoPK8MuwIwbXV
The technology in supply chain today has evolved significantly; to be more efficient and offers value added to the manufacturing firms. The concept of Industry 4.0 in supply chain management denotes the transformation of manufacturing processes through digitalization and automation. It has the potential to provide high-impact transition to supply chain management as a whole. Thus, to transform from the conventional supply chain to the smart supply chain management, it requires a thorough assessment in terms of the drivers that are able to motivate the manufacturing firms and also the challenges that might encounter if the manufacturing firms consider to adopt the concept of Industry 4.0 in the supply chain management. The purpose of this paper is to analyze the drivers and challenges of adoption of the concept of Industry 4.0 in order to create smart supply chain management using a systematic review.KeywordIndustry 4.0Supply chain managementSmart supply chain managementInternet of thingsIoT
The business environment as we experience it today has evolved far beyond what we imagined several decades ago. Several tasks hitherto performed by humans and mechanically so, have now been automated with little or no human interference except for the usage of the outcome of machine algorithms. This is the reality of the digital economy which is the worldwide network of economic activities, commercial transactions, and professional interactions that are enabled by information and communications technologies. As changes to business activities abound, so is the business reporting language and the financial reporting architecture in general. No reliable business decision can emerge from a dysfunctional and antiquated corporate reporting system. Therefore, corporate managers would need to up their game by taking advantage of the vast digital technologies to provide stakeholders with accurate and timely information for quality decision-making. This chapter chronicles the concept of corporate reporting in a digital economy while x-raying the transformation of the accounting discipline from antiquity to the present-day digital economy; and the role of data analytics infrastructure in improving the quality, accuracy, timeliness, and overall decision usefulness of accounting information to the myriad users.KeywordsBig dataAnalyticsCorporate reportingDigital economy
The digitalization of industry, the growth and development of artificial intelligence are attributed to the advent of big data and hence there has been increased interest in research into business analytics, business intelligence, and big data analytics. Business analytics is seen as a complex continuum of data analytics, statistical analytics, and the ability to gain information and knowledge for decision-making. Business analytics is generally understood to support the information society, knowledge-based economy, and digital innovation. The research publications in business analytics have by and large been systematic reviews of literature with a limited number of empirical studies in business analytics. Hence, this paper seeks to review some of the most significant extant literature on business analytics while emphasizing on important theoretical and empirical contributions relating to business analytics in industry, education, and professional training. Second, this paper proposes future issues relating to business intelligence, advanced data mining, applied analytics, and reporting.KeywordsBusiness analyticsBusiness intelligenceKnowledge managementPredictive analyticsBig dataData scienceData miningData visualizationProfessional developmentIndustry
The paper provides an overview of the practice of using blockchain technology in the digitalization process of logistics and supply chain management of leading companies in different countries. The key global issues are observed to the essence of blockchain technology, practice, and prospects of its application in various industries and fields of activity. This study illustrates the examples of using blockchain technology by leading companies, particularly, in retail. It is indicated that the integration of key business processes in supply chains today needs adequate information support that can be provided through technology of blockchain, which also provides transparency and traceability of up to date. The study indicates that blockchain technology has the potential to improve supply chain sustainability performance in retail sector and it is expected blockchain technology to rise in popularity in supply chain management information.
In Malaysia, children of B40 community have several disadvantaged lives, which may give an impact on their academic achievement. The government and school management monitor the improvement of academic performance and should leverage data analytics technology for trends and patterns. It can also aid in establishing the causes of B40 community students’ progress or degradation in academic performance. Thus, this paper discusses a data analytics pattern analysis framework to assist decision makers in more effectively and properly seeing and analyzing shifting trends and patterns of academic progress and lifestyles of B40 community students. The analytical framework is built in modules that includes data collection, data preprocessing, and preparation, followed by a pattern analysis generator and visualizations. The framework is expected to benefit students, schoolteachers, and the Ministry of Education. This research investigates if educational programs and healthy lifestyle awareness may be adapted particularly for B40 children to improve their academic accomplishment, as the government wishes.
Incorporating BDA in audit engagement provides the audit profession an opportunity to use more advanced predictive and prescriptive-oriented analytics.Considering the complexity and dynamism of the external audit process, the necessity of using BDA might be influenced by different, contingent, external, and internal factors.Large accounting firms and corporations are using advanced data analytical tools to leverage all the data available to them. With the right tool and access to enterprise data, auditors are able to examine the entire population of the data.Big Data Analytics, Data Analytics, Artificial Intelligence (AI), Robotic Process Automation (RPA), and Big Data are a new cluster of technologies that could use to further improve both the efficiency and effectiveness of audits.Big Data Analytics are altering the way the audit process is done at both the transaction and general ledger levels. Auditors have new tools to extract and visualize data, allowing them to dig into larger, nontraditional data sets and perform more intricate analysis.This chapter begins with an attempt to explain Big Data Analytics as a new opportunity to enhance productivity, efficiency, and innovativeness of External audits. I present and explain how to use Big Data Analytics in several aspects of audit process. Then, I explain how the external auditors can use ADAs to perform a variety of procedures to gather audit evidence, to help with the extraction of data, and facilitate the use of audit data analytics. Then, I explain the frameworks of ADA and defined its dimensions. I present the 5-Step Process to Performing Audit Data Analytics (ADAs). I present in this chapter BAD and ADA techniques. The last section of this chapter includes how to use the ADA in Risk Assessment Procedures, Substantive Analytical Procedures, and Tests of Detail.KeywordsAuditBig data analyticsExternal auditBDA’s tools and techniques
The research investigates how social media persuasion affects green purchasing behavior through gain, hedonic, normative goal frames, environmental attitude, and ecological concern. Extant literature shows little empirical investigation on the role of Goal Frame Theory (GFT) dimensions and inward and outward environmental attitudes of customers toward green purchasing behavior that this study investigates. Simultaneously the study explores the moderating effect of ecological concern between environmental attitude and green purchasing behavior. A questionnaire was used to collect the data from 305 environmentally concerned customers. The results indicate that social media persuasion influences green purchasing behavior through the dimensions of GFT and inward environmental attitude. Notably, ecological concern emerged as a significant moderator between inward environmental attitude and green purchasing behavior. The results suggest that social media marketing must emphasize the benefit maximization and hedonic aspect (egoistic appeal) and the normative gain (altruistic appeal) of green products to form green purchasing behavior. Likewise, social media marketing must be designed to enhance inward environmental attitudes and ecological concerns to form positive green purchase behavior of customers. This study enriches the theoretical framework of green consumption and provides insights into the role of social media persuasion in forming green purchasing behavior.KeywordsGreen purchasingGoal Frame TheorySocial mediaSustainable consumptionEcological concernsEnvironmental attitudes
The COVID-19 pandemic has crushed the main world economies, including the Italian economy. In 2020, a world recession of −3.1% is estimated and for Italy of −8.9%. However, the negative economic effects have not affected all productive sectors similarly. In Italy, the pharmaceutical, food, and packaging machinery sectors have gone against the trend. This study analyses how companies in the packaging sector reacted to the pandemic through the use of Industry 4.0 technologies; their sentiments and expectations during the pandemic; and measures established. Two surveys were administered by the Manufacturing Economic Studies (MECS), to packaging companies in Italy one year apart. The first, in 2020 aimed at detecting the sentiments and expectations of 135 companies. The second, in 2021, aimed at identifying how Industry 4.0 technologies helped 30 individual companies and within the supply chain to react to the market. Just under 80% of the companies recorded a decline in turnover, 20% have not suffered any decline and even a small part recorded an increase in turnover. The latter, those oriented toward a sustained growth in production, have already partially implemented technologies and “production environments” that are typical of Industry 4.0 even before COVID-19, on the supply and demand sides.KeywordsCOVID-19Automatic machinesProductive reorganizationIndustry 4.0Internet of ThingsTerritorySupply chainHuman resourcesFlow of knowledgeInnovationItaly
3D scanning is rapidly becoming a key maintenance tool. Aerospace was a pioneer in adopting 3D scanning technology because aircraft manufacture and maintenance require precision. Monitoring deterioration, removing components for maintenance, and verifying covert operations are not practical or helpful without technology. Ultra‐precise 3D scanning is needed to ensure aeroplane airworthiness. The Royal Malaysian Air Force is facing issues maintaining the structural integrity and time‐consuming manual inspections, which exposes technicians to error and delays aircraft maintenance. Furthermore, the Sukhoi Su‐30MKM fighter jet has updated avionics, missiles, and bombs. Sukhoi's structural integrity is under jeopardy after a decade of service. This study describes the process of scanning aircraft in 3D and creating 3D representations in Su‐30MKM maintenance. The study also covers the digital transformation of aircraft construction into a model. As a result, the proposed 3D Scanning Maintenance System has assisted the maintenance team to accelerate reverse engineering, aircraft maintenance operations. Also, the 3D scanning application increases the effectiveness of repairing and maintaining Su‐30MKM in line with the Royal Malaysian Air Force's mission readiness to embrace Industrial Revolution 4.0.
Conversational technologies are transforming the landscape of human-machine interaction. Chatbots are increasingly being used in several domains to substitute human agents in performing tasks, answering questions, giving advice, and providing social and emotional support. Therefore, improving user satisfaction with these technologies is imperative for their successful integration. Researchers are leveraging Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques to impart emotional intelligence capabilities in chatbots. This study provides a systematic review of research on developing emotionally intelligent chatbots. We employ a systematic approach to gather and analyze 42 articles published in the last decade. The review is aimed at providing a comprehensive analysis of past research to discover the problems addressed, the techniques used, and the evaluation measures employed by studies in embedding emotion in chatbot conversations. The study’s findings reveal that most studies are based on an open-domain generative chatbot architecture. Researchers mainly address the issue of accurately detecting the user’s emotion and generating emotionally relevant responses. Nearly 57% of the studies use an enhanced Seq2Seq encoding and decoding of the input of the conversational model. Almost all the studies use both the automatic and manual evaluation measures to evaluate the chatbots, with the BLEU measure being the most popular method for objective evaluation.
This article aims to analyze the explanatory power of the constituent components of the Heritage Foundation’s Index of Economic Freedom over the Global Entrepreneurship and Development Institute’s Global Entrepreneurship Index and its sub-indexes. We analyze a sample of 118 countries with available historic data from 2014–2019. We evaluate the impact of the business, labor, monetary, trade, investment, and financial freedom indexes over the Global Entrepreneurship Index and its sub-indexes. We performed a cross-sectional analysis using generalized linear models and weighted least squares models. We also analyzed our panel data using panel-corrected standard error models. We find a significant and positive relationship between the Global Entrepreneurship Index and the business and financial freedom indexes. We also find a significant and positive relationship between the business and financial freedom indexes and the entrepreneurial attitudes, abilities, and aspirations sub-indexes. The limitations of our study include the diversity of national entrepreneurial ecosystems and the difficulty of measuring them with a few quantitative variables. Additionally, our results are heavily influenced by the selection of countries in our sample. To the best of the authors’ knowledge, no previous research article has studied the explanatory power of the Index of Economic Freedom’s constituent components over the Global Entrepreneurship Index and its sub-indexes. Similarly, our sample of 118 countries with data from 2014–2019 makes our study the most comprehensive global analysis about the relationship between economic freedom and entrepreneurship so far.
Although students’ STEM designs are widely admired by teachers, relatively little attention has been given to making use of these designs by incorporating a basic understanding of the market to create new values for communities. The E-STEM model was developed to promote entrepreneurial practices into STEM disciplines and prepare students for the market. Yet, little is explored regarding the teaching pedagogy of E-STEM model and its outcomes. A qualitative case study was conducted to explore E-STEM experiences of high school students and to further explore teachers’ perceptions regarding the teaching approach of E-STEM model. A total of twelve teachers were trained to understand the concept of E-STEM, and five of them were selected purposefully to implement E-STEM model with 42 students. Through analyzing and interpreting students’ projects and teachers’ interview transcripts, this study concluded that the effective practices of E-STEM model require a development-oriented instruction to enhance students’ outcomes over time.
The rapid evolution of antimicrobial resistance (AMR) has remained a major public health issue, reducing the efficacy of antibiotics and increasing the difficulty of treating infections. The discovery of novel antimicrobial agents is urgently needed to overcome the challenges created by AMR. Natural products such as plant extracts and essential oils (EOs) have been viewed as potential candidates to combat AMR due to their complex chemistry that carries inherent pro-oxidant and antioxidant properties. EOs and their constituents that hold pro-oxidant properties can induce oxidative stress by producing reactive oxygen species (ROS), leading to biological damage in target cells. In contrast, the antioxidant properties scavenge free radicals through offsetting ROS. Both pro-oxidant and antioxidant activities in EOs represent a promising strategy to tackle AMR. Thus, this review aimed to discuss how pro-oxidants and antioxidants in EOs may contribute to the mitigation of AMR and provided a detailed description of the challenges and limitations of utilizing them as a means to combat AMR.
To provide an effective energy transition, hydrogen is required to decarbonize the hard-to-abate industries. As a case study, this paper provides a holistic view of the hydrogen energy transition in the United Arab Emirates (UAE). By utilizing the directional distance function undesirable data envelopment analysis model, the energy, economic, and environmental efficiency of UAE sectors are estimated from 2001 to 2020 to prioritize hydrogen sector coupling. Green hydrogen production efficiency is analyzed from 2020 to 2050. The UAE should prioritize the industry and transportation sectors, with average efficiency scores of 0.7 and 0.74. The decomposition of efficiency into pure technical efficiency and scale efficiency suggests policies and strategies should target upscaling the UAE’s low-carbon hydrogen production capacity to expedite short-term and overall production efficiency. The findings of this study can guide strategies and policies for the UAE’s low-carbon hydrogen transition. A framework is developed based on the findings of the study.
The past few years have witnessed renewed interest in modelling and forecasting asymmetry in financial time series using a variety of approaches. The most intriguing of these strategies is the “asymmetric” or “leverage” volatility model. This study aims to conduct a review of asymmetric GARCH models using bibliometric analysis to identify their key intellectual foundations and evolution, and offers thematic and methodological recommendations for future research to advance the domain. Bibliometric analysis was used to identify patterns in and perform descriptive analysis of articles, including citation, co-authorship, bibliographic coupling, and co-occurrence analysis. The study located 856 research papers from the Scopus database between 1992 and 2021 using key phrase and reference search methods. Publication trends, most influential authors, leading countries, and top journals are described, along with a systematic review of highly cited articles. The study summarises the development, application, and performance evaluation of asymmetric GARCH models, which will help researchers and academicians significantly contribute to this literature by addressing gaps.
This study investigates the dynamic relationship between economic policy uncertainty (EPU), geopolitical risks (GPR), the interaction of EPU and GPR (EPGR), and inflation in the USA, Canada, the UK, Japan, and China. We employ the continuous wavelet transform (CWT) to track the evolution of model variables and the wavelet coherence (WC) to examine the co-movement and lead-lag status of the series across different frequencies and time. To strengthen the WC, we apply the multiple wavelet coherence (MWC) to determine how good the linear combination of independent variables co-moves with inflation across various time-frequency domains. The CWT reveals heterogeneous characteristics in the evolution of each variable across frequencies. Inflation across samples shows strong variance in the short-term and medium-term while the volatility fizzles out in the long-term. For the explanatory variables, a similar pattern holds for EPU except for Japan and China, where coherence is evident in the short-term. The USA’s and Canada’s GPR reveal strong coherence in the short- and medium-term. Also, the UK and China reflect strong coherence in the short-term but weak significance in the medium-term, while Japan’s GPR reflects only strong coherence in the short-term. The EPGR shows strong variation in the short-and-medium-term in the samples except in China. The WC’s phase-difference reflects bidirectional causalities and switches in signs among series across different scales and periods in the samples, while the MWC reveals the combined intensity, strength, and significance of both EPU and GPR in predicting inflation across frequency bands among the countries. Findings also show significant co-movement among series at date-stamped periods, corroborating critical global events such as the Asian financial crisis, Global financial crisis, and COVID-19 pandemic. The paper has policy implications.
SMEs in the Arab region are widely viewed as important for their multiple roles, notably in employment creation. Yet, they consistently encounter several constraints such as financing, which impede innovation, growth and internationalisation. This paper examines the external finance-innovation nexus for SMEs operating in five non-oil Arab countries—Egypt, Jordan, Lebanon, Morocco and Tunisia. To achieve this, a probit regression with instrumental variables is applied to firm-level data from the World Bank Enterprise Surveys. The primary findings reveal that the external finance providers are more likely to be reluctant to fund SMEs’ innovation; yet, it thrives with finance. The findings accord with the hypothesis that the accessibility to external funds is a mainstay of SMEs’ innovation. There is a need to develop policies that support equity and debt capitals for innovative SMEs.
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1,910 members
Haris M. Khalid
  • Department of Electrical Engineering
Lukman Olorogun
  • Faculty of Business
Rashid Manzoor
  • Health Sciences
Alfred Howard Miller
  • Business Division
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