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Item1BThe Application of Strategic Foresight in Women's Entrepreneurship Development(Institute of Economic Sciences, 2023) Salamzadeh, Aidin; Rezaei, Haniye; Hadizadeh, Morteza; Yasin, Naveed; Ansari, GolnoushStrategic vision guides governments and societies to overcome gender biases to extol entrepreneurship and achieve targeted business performance. In order to change women's entrepreneurship in societies, strategic foresight is one of the most important resources to be utilized. Strategic foresight offers relevant solutions to these changes for achieving socio-economic benefits and creating sustainable value. Although several studies have been conducted on women's entrepreneurship, identification of its influential factors, and their effect, none has yet studied how strategic foresight can play a role in developing women's entrepreneurship in different countries. Therefore, this study aims to explore the relationship between strategic foresight and female entrepreneurship. The purpose of this study is to examine the link between women's entrepreneurship and strategic foresight capabilities by reviewing relevant literature and background theories. The dimensions of the framework were verified quantitatively using a Delphi research process, SPSS software, and analysis of the gathered questionnaires. The results show that strategic foresight significantly affects women's entrepreneurship through business sustainability. © 2023, Institute of Economic Sciences. All rights reserved. ItemA 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, GhanwaRealizing 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. ItemA Roadmap for SMEs to Adopt an AI Based Cyber Threat Intelligence(Springer Science and Business Media Deutschland GmbH, 2023) Varma, Abhilash J.; Taleb, Nasser; Said, Raed A.; Ghazal, Taher M.; Ahmad, Munir; Alzoubi, Haitham M.; Alshurideh, Muhammad ItemAbu Dhabi Ports' Horns of Hope: A Global Initiative During COVID-19(Case Centre UK, 2022) Gernal, Liza; Reyes, Fernando Eraña; Sergio, RommelThis 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. ItemAdaptively Intelligent Meta-search Engine with Minimum Edit Distance(Institute of Electrical and Electronics Engineers Inc., 2022) Kanwal, Asma; Septyanto, Arif Wicaksono; Muhammad, Muhammad Hassan Ghulam; Said, Raed A.; Farrukh, Muhammad; Ibrahim, MuhammadIn current era retrieval of information has attained high demand due to spectra from websites has abundantly increased. Search Engines are basic tools to get information from the web of data and show irrelevant data causing wastage of time. Considering the fact that time is a precious commodity and is the hallmark of everything around us. To overcome the wastage of time and for its optimum utilization meta-search engines are design. Meta-Search Engine use to fetch relevant data. Existing meta-search engine shows their relevant data based on keywords as well as a semantic query. Semantic query-based results still have some irrelevancy in the results. In this paper, we analyze the semantic query based on machine learning algorithms. This paper hypothesizes improved results through the query expansion mechanism. Author also remove duplicated URLs that come from multiple search engines. Minimum Edit Distance algorithm is used to measure the similarity between titles, snippets and if measuring similarity is more than 0.6 then it must remove that title and snippet. Ranking process, generated retrieval of the relevant document at the top relevant document. Comparative analysis of proposed work is done with existing meta-search engines, overall performance of Intelligent Meta-Search Engine (IMSE) remains 74.17%. © 2022 IEEE. ItemAdopting Business Analytics to Leverage Enterprise Data Assets(Springer Science and Business Media B.V., 2017) Djerdjouri, Mohamed; Mehailia, AbdelghaniIn 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. ItemAdvertising literacy measurement scale from students' perspective(preprints.org, 2021) Rasekh, Nazanin; Ghasemi, Hamid; Mataruna-Dos-Santos, Leonardo Jose; ABdolmaleki, Hossein; Soheili, BehzadAlthough advertising literacy leads to critical thinking in the face of advertising, but so far, no action has been taken in Iran regarding a tool to measure this type of literacy. And after the investigations, it was determined that although much research has been done on advertising, but the lack of appropriate measurement tools to measure the level of advertising literacy is clearly evident. Therefore, this research provides a valid tool for measuring advertising literacy from students' perspective. In this study, referring to the dimensions of advertising literacy from the perspective of Malmelin (2010) and the views of related professors, a questionnaire was developed and to determine the validity of the structure, confirmatory factor analysis was used. In this study, the statistical population was high school students, considering the impact of advertising in this age range; finally, a tool with four dimensions of informational literacy, aesthetic literacy, rhetorical literacy and promotional literacy was obtained. According to the confirmation of this tool in the present study, it can be used to examine the status of items, their order and prioritization from the perspective of the mentioned population. ItemAmbition at work and career satisfaction : the mediating role of taking charge behavior and the moderating role of pay(Emerald Group Publishing Ltd., 2017) El Baroudi, Sabrine; Fleisher, Chen; Khapova, Svetlana N.; Jansen, Paul; Richardson, JuliaPurpose: The purpose of this paper is to examine the moderating role of pay in the relationship between employee ambition and taking charge behavior, and its subsequent effects on employee career satisfaction. Design/methodology/approach: A two-wave quantitative investigation was conducted among alumni of a large public university in the Netherlands. Findings: The results show that taking charge behavior mediates the positive relationship between employee ambition and career satisfaction. They also show that pay positively moderates this mediation, such that the relationship between employee ambition and taking charge behavior is stronger when ambitious employees receive an increase in pay, leading to increased career satisfaction. Conversely, a decrease in pay does not moderate ambitious employees’ taking charge behavior and the impact on their career satisfaction. Research limitations/implications: The study draws on self-report data collected in one country: the Netherlands. Practical implications: The study highlights the importance of pay for higher job involvement, demonstrating its impact on taking charge behavior among employees with higher levels of ambition. Originality/value: This is the first empirical study to examine the impact of pay on employees’ taking charge behavior and the subsequent implications for career satisfaction. © 2017, © Emerald Publishing Limited. ItemAn Integrated Cloud and Blockchain Enabled Platforms for Biomedical Research(Springer Science and Business Media Deutschland GmbH, 2023) Ghazal, Taher M.; Hasan, Mohammad Kamrul; Abdullah, Siti Norul Huda Sheikh; Bakar, Khairul Azmi Abu; Taleb, Nasser; Al-Dmour, Nidal A.; Yafi, Eiad; Chauhan, Ritu; Alzoubi, Haitham M.; Alshurideh, Muhammad ItemAnálise 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 TavaresPartindo 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. ItemAnalysis of Issues Affecting IoT, AI, and Blockchain Convergence(Springer Science and Business Media Deutschland GmbH, 2023) Taleb, Nasser; Al-Dmour, Nidal A.; Issa, Ghassan F.; Abdellatif, Tamer Mohamed; Alzoubi, Haitham M.; Alshurideh, Muhammad; Salahat, Mohammed ItemAn 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, BiancaThe 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. ItemAnalytic Hierarchy Process and Sensitivity Analysis Approach for Social Media Impact on Pharmaceutical Relationship Marketing Tactics(Decision Science Institute, 2013) Enyinda, Chris I.; Ogbuehi, Alphonso O.; Hamouri, SuhairPharmaceutical relationship marketing (PRM) bodes well with the social media environment. Pharmaceutical industry can build and maintain relationships with consumers through social media. Firms that leverage social media to enhance their PRM tactics will be viewed favorably in terms of trust, transparency, openness, and honesty. This paper explores the sensitivity analysis (SA) of PRM tactics within the social media environment using analytic hierarchy process (AHP) approach. Results revealed customer engagement as the most important PRM tactic, followed by communication, and trust. The performance SA carried out on the PRM tactics showed that the ranking associated with social media channel options remained robust or insensitive to small perturbations. ItemAntecedents 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, AgataPurpose: 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. ItemApplication of Computational Intelligence and Machine Learning to Conventional Operational Research Methods(Institute of Electrical and Electronics Engineers Inc., 2022) Ali, Atif; Said, Raed A.; Rizwan, Hafiz Muhammad Amir; Shehzad, Khurram; Naz, ImranMachine learning and computational intelligence are two methods for achieving this (CI); traditional operational research methods are combined with machine learning-based computational techniques (OR). Students can handle complex decision-making problems thanks to the synergy between those methods and techniques. This research's primary goal is to present and demonstrate potential connections amid the two computational arenas. Using applications, we show how machine learning techniques like fuzzy logic, neural networks and reinforcement learning can be combined to provide a simpler solution to more complex problems than traditional OR methods., which is a research contribution in and of itself. © 2022 IEEE. ItemApplication of Higher Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast(Sciendo, 2022-01-01) Zhang, Liqin; Tian, Xiaojing; Chabani, ZakariyaIn 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. ItemApplication of Higher-Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast(Sciendo, 2022) Zhang, Liqin; Tian, Xiaojing; Chabani, ZakariyaIn 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. ItemAre cryptocurrencies affected by their asset class movements or news announcements?(Malaysian Economic Association, 2019) Gurrib, Ikhlaas; Kweh, Qian Long; Nourani, Mohammad; Ting, Irene Wei KiongThis 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. ItemAre energy block chain currencies affected by the major US energy markets?(Econjournals, 2019) Gurrib, IkhlaasWhile various economies have started to embark on a gradual shift towards renewable sources of energy, energy block chain based crypto currencies have emerged. The purpose of this study is to shed fresh light into whether an energy commodity price index (ENFX) and energy block chain based crypto price index (ENCX) can be used to predict movements in the energy commodity and energy crypto market. Using principal component analysis over daily data of crude oil, heating oil, natural gas, and energy based cryptos, the ENFX and ENCX indices are constructed, where ENFX (ENCX) represents 94% (88%) of variability in energy commodity (energy crypto) prices. Natural gas price movements were better explained by ENCX, and shared positive (negative) correlations with cryptos (crude oil and heating oil). Using a vector autoregressive model (VAR), while the 1-day lagged ENCX (ENFX) was significant in estimating current ENCX (ENFX) values, only the lagged ENCX was significant in estimating current ENFX values. Granger causality tests confirmed the two markets do not granger cause each other. One standard deviation shock in ENFX had a negative effect on ENCX, and one standard deviation shock in ENCX left ENFX unaffected. Both indices had 1 structural break on different dates. Overall findings suggest that while the ENFX and ENCX are good representative of commodity energy prices and energy block chain based cryptos respectively, the two markets are not robust determinants of each other. © 2018, Econjournals. All rights reserved.