Papers by Ibrahim H. Osman DEA, Egov Performance, SEM, Optimitization, Metaheuristics
The series "Advances in Intelligent Systems and Computing" contains publications on theory, appli... more The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia. The publications within "Advances in Intelligent Systems and Computing" are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and worldwide distribution. This permits a rapid and broad dissemination of research results.
In recent years, there have been significant advances in the theory and application of metaheuris... more In recent years, there have been significant advances in the theory and application of metaheuristics to approximate solutions of complex optimization problems. The $\mathrm{m}\mathrm{e}\mathrm{t}\mathrm{a}-\mathrm{h}\mathrm{e}\mathrm{u}\mathrm{r}\mathrm{i}\mathrm{s}\mathrm{t}\dot{\mathrm{i}}\mathrm{c}\mathrm{s}$ term was used: as a language and a program for stating and solving combinatorial problems in [1]; to describe tabu search in [2] and [3]; to classify recent approaches such as adaptive memory programming, ants systems, evolutionary methods, genetics algorithm, greedy randomized adaptive search procedures, guided local search, neural networks, problem-space search, simulated annealing, scatter search, tabu search, threshold algorithms, and their hybrids in [4, 5, 6 and 7] and as a title for the biennial series of the metaheuristics international conferences (MIC-95, MIC-97, MIC-99, MIC-01). A metaheuristic was defined in $[7, 8]$ an iterative master process that guides and modifies the operations of subordinate heuristics to efficiently produce high quality solutions. It may combine intelligently different concepts for exploring the search space and uses learning strategies to structure information. It may manipulate a complete (or incomplete) single solution or a collections of solutions at each iteration. The subordinate heuristics may be high ($\mathrm{o}\mathrm{I}^{\cdot}$ low) level procedures, or a simple local search, or just a construction method. Metaheuristics provide decision makers with robust tools that obtain high quality solutions, in a reasonable computational effort, to important applications in business, engineering, economics and the sciences. Finding exact solutions to these applications still poses a real challenge despite the impact of recent advances in computer technology and the great interaction between computer science, management $\mathrm{s}\mathrm{c}\mathrm{i}\mathrm{e}\mathrm{n}\mathrm{c}\mathrm{e}/\mathrm{o}\mathrm{p}\mathrm{e}\mathrm{r}\mathrm{a}\mathrm{t}\mathrm{i}\mathrm{o}\mathrm{n}\mathrm{s}$ research and mathematics. For more details on theory and applications, we refer to the comprehensive bibliography on metaheuristics in [5], the books in [6-16]. A metaheuristic may have four components: initial space of solutions; search engines; learning and guideline strategies; management of information structures. In this paper, the most efficient metaheuristics and their associated components are briefly described. The unified-metaheuristic framework presented [4] is extended into a more general one to show how the existing metaheuristics can fit into it. The general framework invites extra research into desiging new innovative and unexplored metaheuristics. Finally, we conclude by highlighting current trends and future research directions in this active area of the science of heuristics.
Academic knowledge value chain management in higher education involves external and internal stak... more Academic knowledge value chain management in higher education involves external and internal stakeholders in the effective creation and efficient provision of high quality learning, research and service outputs and outcomes. Academic faculties are one of the main stakeholders responsible for cocreating, co-providing and co-delivering of such high-quality outputs and outcomes. The design and implementation of a proper performance methodology to evaluate motivate and align towards common institutional goals and values become very important. In this paper, we propose two frameworks for academic knowledge value chain management and for relative performance evaluation management respectively. The relative performance evaluation management framework uses a Data Envelopment Analysis (DEA) approach based on tangible and intangible criteria related to the institution's mission and academics' job description. An Analytical Hierarchy Process (AHP) is integrated into the DEA approach as a reduction technique to aggregate the more criteria measures into fewer ones to establish a better DEA classification. The proposed DEA_AHP approach is validated on a real-data collected on 35 faculty members at the Olayan School of Business. Suggestions on how to implement the relative performance evaluation management system are discussed with highlights on further research directions.
Delivering an adequate e-Government service (e-service) is becoming more of a necessity in today&... more Delivering an adequate e-Government service (e-service) is becoming more of a necessity in today's digital world. In order to improve e-services and increase the engagement of both users' and providers ' side, studies on the performance evaluation of such provided e-services are taking places. However a clear identification of the key performance indicators from the e-Government providers ’ side is not well explored. This shortcoming hampers the conduct of a holistic evaluation of an e-service provision from the perspective of its stakeholders in order to improve e-services as well as to increase e-services take-ups. In this paper, a systematic process to identify indicators is implemented based on a bottom-up approach. The process used three focus-group meetings with providers, users, and academics in Qatar, Lebanon and UK to collect, identify and validate key indicators from the perspective of e-services ’ providers. The approach resulted in the identification of fi...
E-government services involve many stakeholders who have different objectives that can have an im... more E-government services involve many stakeholders who have different objectives that can have an impact on success. Among these stakeholders, citizens are the primary stakeholders of government activities. Accordingly, their satisfaction plays an important role in e-government success. Although several models have been proposed to assess the success of e-government services through measuring users' satisfaction levels, they fail to provide a comprehensive evaluation model. This study provides an insight and critical analysis of the extant literature to identify the most critical factors and their manifested variables for user satisfaction in the provision of e-government services. The various manifested variables are then grouped into a new quantitative analysis framework consisting of four main constructs: cost; benefit; risk and opportunity (COBRA) by analogy to the well-known SWOT qualitative analysis framework. The COBRA measurement scale is developed, tested, refined and val...
Annals of Operations Research, 2021
The efficiency of banks has a critical role in development of sound financial systems of countrie... more The efficiency of banks has a critical role in development of sound financial systems of countries. Data Envelopment Analysis (DEA) has witnessed an increase in popularity for modeling the performance efficiency of banks. Such efficiency depends on the appropriate selection of input and output variables. In literature, no agreement exists on the selection of relevant variables. The disagreement has been an ongoing debate among academic experts, and no diagnostic tools exist to identify variable misspecifications. A cognitive analytics management framework is proposed using three processes to address misspecifications. The cognitive process conducts an extensive review to identify the most common set of variables. The analytics process integrates a random forest method; a simulation method with a DEA measurement feedback; and Shannon Entropy to select the best DEA model and its relevant variables. Finally, a management process discusses the managerial insights to manage performance and impacts. A sample of data is collected on 303 topworld banks for the periods 2013 to 2015 from 49 countries. The experimental simulation results identified the best DEA model along with its associated variables, and addressed the misclassification of the total deposits. The paper concludes with the limitations and future research directions.
The surge and value of unstructured text is attracting substantial research and industry attentio... more The surge and value of unstructured text is attracting substantial research and industry attention. Subsequently we are witnessing novel techniques and algorithms that are performing increasingly sophisticated text mining tasks. However the majority of such techniques are opaque, making it hard to trace the provenance of the analytical task on hand. We propose Catalyst, a framework to automatically transform, enrich and expose text into a linked graph-based layer to enable more transparent processing and access to the text elements. In brief, Catalyst extracts text dependencies, performs sentiment analysis, detects semantic relatedness, and links the text elements into a semantic triple-store that enables an easy access to the text entities through direct query functionalities. We plan to evaluate the performance of Catalyst by processing a dataset of user reviews around the dimensions of an evaluation model deployed in the context of e-government services.
Applied Mathematical Modelling, 2019
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service... more This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights We propose a novel predictive analytics framework to classify and analyze unstructured reviews Evaluation models can potentially train machine learning algorithms for predicting reviews classification and sentiments We implement neural networks and logistic regression algorithms tested in the context of e-government service evaluation The classification reached a promising F-score of 85.16%, and sentiments correlating 71.44% with a manually validated dataset The framework contributes to uncover hidden insights that were not initially captured by closed-ended questionnaires
International Journal of Electronic Government Research, 2016
Evaluating users' satisfaction of e-Government services has been addressed by numerous studie... more Evaluating users' satisfaction of e-Government services has been addressed by numerous studies. These mainly looked at e-Government users as citizens who are nationals and comply with the local culture of the governments providing these services. However, the GCC region has a particular culture stemming from the social structure and working environment. The expatriate population from different backgrounds form a significant portion of e-Government users. Therefore, the aim of this study is to explore users' satisfaction towards the electronic services provided by governments in the GCC region represented by the State of Qatar. In order to examine the suitability of the e-Government service portal, a cross-sectional survey targeting the users of three common e-Government services in Qatar evaluated users' satisfaction based on the four dimensions of the COBRA framework (Osman et al. 2014): Cost, opportunity, benefit and risk. SEM analysis demonstrated a good model fit and...
Information Systems Management, 2016
Citizens' satisfaction is acknowledged as one of the most significant influences for e-government... more Citizens' satisfaction is acknowledged as one of the most significant influences for e-government adoption and diffusion. This study examines the impact of information quality, system quality, trust, and cost on user satisfaction of e-government services. Using a survey, this study collected 1518 valid responses from e-government service adopters across the United Kingdom. Our empirical outcomes show the five factors identified in this study have a significant impact on U.K. citizens' satisfaction with e-government services.
Proceedings of the 24th International Conference on World Wide Web, 2015
With the daily increase of the amount of published information, research in the area of text anal... more With the daily increase of the amount of published information, research in the area of text analytics is gaining more visibility. Text processing for improving analytics is being studied from different angles. In the literature, text dependencies have been employed to perform various tasks. This includes for example the identification of semantic relations and sentiment analysis. We observe that while text dependencies can boost text analytics, managing and preserving such dependencies in text documents that spread across various corpora and contexts is a challenging task. We present in this paper our work on linking text dependencies using the Resource Description Framework (RDF) specification, following the Stanford typed dependencies representation. We contribute to the field by providing analysts the means to query, extract, and reuse text dependencies for analytical purposes. We highlight how this additional layer can be used in the context of feedback analysis by applying a selection of queries passed to a triple-store containing the generated text dependencies graphs.
Delivering an adequate e-Government service (e-service) is becoming more of a necessity in today'... more Delivering an adequate e-Government service (e-service) is becoming more of a necessity in today's digital world. In order to improve e-services and increase the engagement of both users' and providers' side, studies on the performance evaluation of such provided e-services are taking places. However a clear identification of the key performance indicators from the e-Government providers' side is not well explored. This shortcoming hampers the conduct of a holistic evaluation of an e-service provision from the perspective of its stakeholders in order to improve e-services as well as to increase e-services take-ups. In this paper, a systematic process to identify indicators is implemented based on a bottom-up approach. The process used three focus-group meetings with providers, users, and academics in Qatar, Lebanon and UK to collect, identify and validate key indicators from the perspective of e-services' providers. The approach resulted in the identification of five factors levels (service, technology, employees, policy and management and social responsibilities) with fifteen sub-categories of SMART variables. Hence, leading to the development of a new model, STEPS, that can fully explain and predict e-government success from the providers' point of view. It will work as a strategic management tool to align various stakeholders on common goal and values based on evidence based evaluation of e-services using smart measurable indicators for the improvement of an eservice at the engagement level in the field of e-government. In addition, other fields can benefit from the outcome of this work, such as logistics service providers, who make their services available across new and existing relationships between the Internet commerce firms, their customers, and their vendors.
Annals of Operations Research
Journal of Intelligent Systems
Facility layout problem (FLP) has a great impact on the efficiency of any organization. It is con... more Facility layout problem (FLP) has a great impact on the efficiency of any organization. It is concerned with defining the optimal location for each facility in order to optimize the supply chain productivity. In this kind of problems, the choice of resolution approach depends on the complexity and the size of the problem. Operating theaters are generally big structures containing a lot of facilities, which makes the conception of their layout a complex problem. In the literature, exact methods are powerless when faced with problem sizes up to 18 facilities. This leads us to explore other approaches, looking for efficient solutions. This paper presents a novel approach using a multi-agents system where agents’ skills are exploited to cover a wide research space, to accelerate the decision-making process and to deal with real-life problem sizes. This decision-making tool is based on several mixed integer linear programming models for solving the FLP, and considers two types of environ...
To Classify Recent Approaches Such as Adaptive Memory Programming, Ants Systems, Evolutionary Methods, Genetics Algorithm, Greedy Randomized Adaptive Search Procedures, Guided Local Search, Neural Networks, Problem-Space Search, Simulated Annealing, Scatter Search, Tabu Search In recent years, there have been significant advances in the theory and application of metaheuris... more In recent years, there have been significant advances in the theory and application of metaheuristics to approximate solutions of complex optimization problems. The $\mathrm{m}\mathrm{e}\mathrm{t}\mathrm{a}-\mathrm{h}\mathrm{e}\mathrm{u}\mathrm{r}\mathrm{i}\mathrm{s}\mathrm{t}\dot{\mathrm{i}}\mathrm{c}\mathrm{s}$ term was used: as a language and a program for stating and solving combinatorial problems in [1]; to describe tabu search in [2] and [3]; to classify recent approaches such as adaptive memory programming, ants systems, evolutionary methods, genetics algorithm, greedy randomized adaptive search procedures, guided local search, neural networks, problem-space search, simulated annealing, scatter search, tabu search, threshold algorithms, and their hybrids in [4, 5, 6 and 7] and as a title for the biennial series of the metaheuristics international conferences (MIC-95, MIC-97, MIC-99, MIC-01). A metaheuristic was defined in $[7, 8]$ an iterative master process that guides and modifies the operations of subordinate heuristics to efficiently produce high quality solutions. It may combine intelligently different concepts for exploring the search space and uses learning strategies to structure information. It may manipulate a complete (or incomplete) single solution or a collections of solutions at each iteration. The subordinate heuristics may be high ($\mathrm{o}\mathrm{I}^{\cdot}$ low) level procedures, or a simple local search, or just a construction method. Metaheuristics provide decision makers with robust tools that obtain high quality solutions, in a reasonable computational effort, to important applications in business, engineering, economics and the sciences. Finding exact solutions to these applications still poses a real challenge despite the impact of recent advances in computer technology and the great interaction between computer science, management $\mathrm{s}\mathrm{c}\mathrm{i}\mathrm{e}\mathrm{n}\mathrm{c}\mathrm{e}/\mathrm{o}\mathrm{p}\mathrm{e}\mathrm{r}\mathrm{a}\mathrm{t}\mathrm{i}\mathrm{o}\mathrm{n}\mathrm{s}$ research and mathematics. For more details on theory and applications, we refer to the comprehensive bibliography on metaheuristics in [5], the books in [6-16]. A metaheuristic may have four components: initial space of solutions; search engines; learning and guideline strategies; management of information structures. In this paper, the most efficient metaheuristics and their associated components are briefly described. The unified-metaheuristic framework presented [4] is extended into a more general one to show how the existing metaheuristics can fit into it. The general framework invites extra research into desiging new innovative and unexplored metaheuristics. Finally, we conclude by highlighting current trends and future research directions in this active area of the science of heuristics.
To Classify Recent Approaches Such as Adaptive Memory Programming, Ants Systems, Evolutionary Methods, Genetics Algorithm, Greedy Randomized Adaptive Search Procedures, Guided Local Search, Neural Networks, Problem-Space Search, Simulated Annealing, Scatter Search, Tabu Search In recent years, there have been significant advances in the theory and application of metaheuris... more In recent years, there have been significant advances in the theory and application of metaheuristics to approximate solutions of complex optimization problems. The $\mathrm{m}\mathrm{e}\mathrm{t}\mathrm{a}-\mathrm{h}\mathrm{e}\mathrm{u}\mathrm{r}\mathrm{i}\mathrm{s}\mathrm{t}\dot{\mathrm{i}}\mathrm{c}\mathrm{s}$ term was used: as a language and a program for stating and solving combinatorial problems in [1]; to describe tabu search in [2] and [3]; to classify recent approaches such as adaptive memory programming, ants systems, evolutionary methods, genetics algorithm, greedy randomized adaptive search procedures, guided local search, neural networks, problem-space search, simulated annealing, scatter search, tabu search, threshold algorithms, and their hybrids in [4, 5, 6 and 7] and as a title for the biennial series of the metaheuristics international conferences (MIC-95, MIC-97, MIC-99, MIC-01). A metaheuristic was defined in $[7, 8]$ an iterative master process that guides and modifies the operations of subordinate heuristics to efficiently produce high quality solutions. It may combine intelligently different concepts for exploring the search space and uses learning strategies to structure information. It may manipulate a complete (or incomplete) single solution or a collections of solutions at each iteration. The subordinate heuristics may be high ($\mathrm{o}\mathrm{I}^{\cdot}$ low) level procedures, or a simple local search, or just a construction method. Metaheuristics provide decision makers with robust tools that obtain high quality solutions, in a reasonable computational effort, to important applications in business, engineering, economics and the sciences. Finding exact solutions to these applications still poses a real challenge despite the impact of recent advances in computer technology and the great interaction between computer science, management $\mathrm{s}\mathrm{c}\mathrm{i}\mathrm{e}\mathrm{n}\mathrm{c}\mathrm{e}/\mathrm{o}\mathrm{p}\mathrm{e}\mathrm{r}\mathrm{a}\mathrm{t}\mathrm{i}\mathrm{o}\mathrm{n}\mathrm{s}$ research and mathematics. For more details on theory and applications, we refer to the comprehensive bibliography on metaheuristics in [5], the books in [6-16]. A metaheuristic may have four components: initial space of solutions; search engines; learning and guideline strategies; management of information structures. In this paper, the most efficient metaheuristics and their associated components are briefly described. The unified-metaheuristic framework presented [4] is extended into a more general one to show how the existing metaheuristics can fit into it. The general framework invites extra research into desiging new innovative and unexplored metaheuristics. Finally, we conclude by highlighting current trends and future research directions in this active area of the science of heuristics.
Pak J Pathol, 2002
The objective of the study was to assess the prevalence of anti-HCV and HBsAg in young healthy pe... more The objective of the study was to assess the prevalence of anti-HCV and HBsAg in young healthy persons and correlate it among young healthy adults of various provinces and subgroups based on cast and clans. This is a prospective study to assess the prevalence of anti-HCV and ...
Pak J Pathol, 2002
The objective of the study was to assess the prevalence of anti-HCV and HBsAg in young healthy pe... more The objective of the study was to assess the prevalence of anti-HCV and HBsAg in young healthy persons and correlate it among young healthy adults of various provinces and subgroups based on cast and clans. This is a prospective study to assess the prevalence of anti-HCV and ...
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Papers by Ibrahim H. Osman DEA, Egov Performance, SEM, Optimitization, Metaheuristics