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Träfflista för sökning "AMNE:(SAMHÄLLSVETENSKAP Medie- och kommunikationsvetenskap Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning) ;pers:(Haddara Moutaz)"

Sökning: AMNE:(SAMHÄLLSVETENSKAP Medie- och kommunikationsvetenskap Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning) > Haddara Moutaz

  • Resultat 1-10 av 23
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1.
  • Schelén, Olov, et al. (författare)
  • A roadmap for big-data research and education
  • 2015
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • The research area known as big data is characterized by the 3 V’s, which are vol- ume; variety; and velocity. Recently, also veracity and value have been associated with big data and that adds up to the 5 V’s. Big data related information systems (IS) are typically highly distributed and scalable in order to handle the huge datasets in organizations. Data processing in such systems includes creation, retrieval, storage, analysis, presentation, visualization, and any other activity that is typical for IS sys- tems. Big data is often associated with business analytics, cloud services, or industrial systems.This document presents a brief overview of the state of the art in selected topics of big data research, with the purpose of providing input to a roadmap for research and education at Lule ̊a University of Technology (LTU). The selection of topics is based on assessments of where LTU can make an impact based on current and anticipated research strengths and position with industry (e.g., process industry, data centers and cloud application providers). Topics include distributed systems, mobility, Internet of Things, and advanced analytics.
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2.
  • Elragal, Ahmed, et al. (författare)
  • Big Data Analytics : A Text Mining-Based Literature Analysis
  • 2014
  • Ingår i: NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi. - 1892-0748 .- 1894-7719. ; 22:1
  • Tidskriftsartikel (refereegranskat)abstract
    • This literature review paper summarizes the state-of-the-art research on big data analytics. Due to massive amount of data exchanged everyday and the increased need for better data-based decision, businesses nowadays are looking for ways to efficiently manage, and optimize these huge datasets. Moreover, because of globalization, partnerships, value networks, emergence of social networks, and the huge information flow across and within enterprises, more and more businesses are interested in utilizing big data analytics. The main focus of this paper is to elucidate knowledge on the characteristics of big data analytics literature as well as explore the areas that lack sufficient research within the big data analytics domain, suggest future research avenues, as well as, present the current research findings that could aid practitioners, researchers, and vendors when embarking on big data analytics projects. Towards that end, we have reviewed 24 publications between 2010 and 2014. Results of text mining the papers revealed that they belong to three clusters with both common as well as distinct characteristics. The reviewed papers were clustered into three main themes, 1) technical algorithsms; 2) processing, cloud computing, opportunities & challenges; and 3) performance, prediction, and distributed systems.
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3.
  • Elragal, Ahmed, et al. (författare)
  • Design Science Research: Evaluation in the Lens of Big Data Analytics
  • 2019
  • Ingår i: Systems. - : MDPI. - 2079-8954. ; 7:2
  • Tidskriftsartikel (refereegranskat)abstract
    • Given the different types of artifacts and their various evaluation methods, one of the main challenges faced by researchers in design science research (DSR) is choosing suitable and efficient methods during the artifact evaluation phase. With the emergence of big data analytics, data scientists conducting DSR are also challenged with identifying suitable evaluation mechanisms for their data products. Hence, this conceptual research paper is set out to address the following questions. Does big data analytics impact how evaluation in DSR is conducted? If so, does it lead to a new type of evaluation or a new genre of DSR? We conclude by arguing that big data analytics should influence how evaluation is conducted, but it does not lead to the creation of a new genre of design research.
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4.
  • Elragal, Ahmed, et al. (författare)
  • Special Issue Editorial : Rejuvenating Enterprise Systems
  • 2020
  • Ingår i: Scandinavian Journal of Information Systems. - : Association for Information Systems. - 0905-0167 .- 1901-0990. ; 32:2
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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5.
  • Elragal, Ahmed, et al. (författare)
  • The Future of ERP Systems : look backward before moving forward
  • 2012
  • Ingår i: Procedia Technology. - : Elsevier BV. - 2212-0173. ; 5, s. 21-30
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper explores the enterprise resource planning (ERP) systems literature in an attempt to elucidate knowledge to help us see the future of ERP systems' research. The main purpose of this research is to study the development of ERP systems and other related areas in order to reach the constructs of mainstream literature. The analysis of literature has helped us to reach the key constructs of an as-is scenario, those are: history and development of ERP systems, the implementation life cycle, critical success factors and project management, and benefits and costs. However, the to-be scenario calls for more up-to-date research constructs of ERP systems integrating the following constructs: social networks, cloud computing, enterprise 2.0, and decision 2.0. In the end, the conclusion section will establish the link between the as-is and to-be scenarios opening the door for more novel ERP research areas
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6.
  • Elragal, Ahmed, et al. (författare)
  • The impact of ERP partnership formation regulations on the failure of ERP implementations
  • 2013
  • Ingår i: Procedia Technology. - : Elsevier BV. - 2212-0173. ; 9, s. 527-535
  • Tidskriftsartikel (refereegranskat)abstract
    • According to statistics, majority of ERP implementations fail. Failure means either total cancellation of the project, or failure to go-live on time and/or within budget constraints. Mainstream literature focuses on different reasons for failure including poor project management, resistance to change, lack of top management support, insufficient user training, etc. In this research we focus on the impact of vendor-partner relationship on the failure of ERP implementations. Some vendors provide easy terms and conditions in order to attract new partners and develop a wider network of partners in the targeted regions. In this study, the terms and conditions of SAP for certifying partners are studies and analyzed. In addition, case studies of two SAP partners are conducted. The primary research results suggest that the easy partnership conditions set by ERP vendors are among the main contributing factors for ERP projects failure in our cases. This finding is considered novel since most of the related work attributes failures to other factors, ignoring the vendor-partner terms and conditions.
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7.
  • Elragal, Ahmed, et al. (författare)
  • The use of experts panels in ERP cost estimation research
  • 2010
  • Ingår i: ENTERprise Information Systems. - Berlin : Encyclopedia of Global Archaeology/Springer Verlag. - 9783642164187 - 9783642164194 ; , s. 97-108
  • Konferensbidrag (refereegranskat)abstract
    • This paper is an effort towards illustrating the use of expert panel (EP) as a mean of eliciting knowledge from a group of enterprise resource planning (ERP) experts as an exploratory research. The development of a cost estimation model (CEM) for ERP adoptions is very crucial for research and practice, and that was the main reason behind the willingness of experts to participate in this research. The use of EP was very beneficial as it involved various data collection and visualisation techniques, as well as data validation and confirmation. Beside its advantages, one of the main motives for using a group technique is that it is difficult to find a representative sample for a casual survey method, as ERP experts and consultants are rare to find, especially in the scope of SMEs' ERP implementations. It is worth noting that the panel reached consensus regarding the results of the EP. The experts modified and enhanced the initial cost drivers (CD) list largely, as they added, modified, merged and split different costs drivers. In addition, the experts added CF (sub-factors) that could influence or affect each cost driver. Moreover, they ranked the CD according to their weight on total costs. All of this helped the authors to better understand relationships among various CF
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8.
  • Elragal, Ahmed, et al. (författare)
  • The use of experts panels in ERP cost estimation research
  • 2012
  • Ingår i: Organizational integration of enterprise systems and resources. - Hershey, Pa. : Business Science Reference. - 9781466617643 ; , s. 117-130
  • Bokkapitel (refereegranskat)abstract
    • This chapter is an effort towards illustrating the use of expert panels (EP) as a means of eliciting knowledge from a group of enterprise resource planning (ERP) experts in an exploratory research. The development of a cost estimation model for ERP adoptions is very crucial for research and practice, and that was the main reason behind the willingness of experts to participate in this research. The use of EP was very beneficial as it involved various data collection and visualization techniques, as well as data validation and confirmation. Arguments for using EP over other group techniques are presented in this chapter. Experts modified and enhanced the initial cost drivers list and their sub-factors significantly, as they added, modified, merged and split different costs. Moreover, they ranked the cost drivers according to their weight on total costs. All of this helped the authors to better understand relationships among various cost factors
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9.
  • Haddara, Moutaz, et al. (författare)
  • Cloud ERP Systems : Anatomy of Adoption Factors & Attitudes
  • 2015
  • Ingår i: Journal of Enterprise Resource Planning Studies. - : IBIMA Publishing. - 2155-4781 .- 2155-4781. ; 2015
  • Tidskriftsartikel (refereegranskat)abstract
    • Enterprise resource planning (ERP) systems have always been of interest to researchers across various research disciplines. Recently, the cloud computing paradigm has emerged to become one of most prominent technologies in business and academia alike. These new cloud accessibility and software delivery models have radically revolutionized the software market, especially ERP systems. However, while many vendors and software providers have adopted software-as-a-service (SaaS) models, few studies have explored the domain of cloud-based ERP systems – particularly information technology (IT) officers’ attitudes toward these technologies. Based on our review of literature and the relevant theories, we created a questionnaire and sent it to IT executives in Norwegian companies. The questionnaire captured the respondents’ perceptions of the benefits and disadvantages of cloud ERP. In general, the results confirm what has been reported in the literature. There were, however, some notable exceptions. One of the significant exceptions was the evident lack of data security concerns among the respondents, who ranked it as the least of their concerns. In addition, the promise of lowered total cost of ownership was not perceived as an appealing benefit, unlike what has been widely discussed in literature. Our findings show that respondents deemed vendor dependency and lock-in to be the paramount concerns of such cloud technologies, and system accessibility to be the significantly most advantageous. Finally, descriptive and inferential statistical analyses were conducted in this paper, and a regression analysis of the results was performed to identify the level at which the various benefits and advantages most affected our respondents’ attitudes.
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