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Haddara, Moutaz
Publications (10 of 22) Show all publications
Haddara, M. (2016). ERP Selection: A Case of a Multinational Enterprise (ed.). Information Resources Management Journal
Open this publication in new window or tab >>ERP Selection: A Case of a Multinational Enterprise
2016 (English)In: Information Resources Management Journal, ISSN 1040-1628, E-ISSN 1533-7979Article in journal (Refereed) Accepted
Abstract [en]

"The system and vendor selection are early phases in the Enterprise resource planning (ERP)""implementation process. When organizations embark on selecting an ERP system, they develop their own selection criteria that usually involve various factors like number of modules, required budget, licensing model, etc. One of the paramount factors is the system’s fit with the organizational requirements and needs. Thus, the selection phase is a crucial endeavour, because if an organization chooses an inadequate ERP that doesn’t accommodate their needs, the whole adoption project will most likely predestine to fail. This research provides an overview of an ERP selection process at a subsidiary of a multinational company. The paper provides details about the selection process, criteria, and the evaluation process made by an ERP selection consultant that has been hired by the company to assist them during this phase. The selection process employed a simple multi-attribute rating technique (SMART) ERP selection method. In addition, this research presents other issues that influenced the selection process, which are related to cross-border data protection laws between the holding company and its subsidiary. As the ERP has been implemented successfully, the method and the selection factors have been proven adequate for the selection process.

Keywords
ERP Systems, Selection, Information technology - Computer science, Informationsteknik - Datorvetenskap
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
urn:nbn:se:ltu:diva-9146 (URN)7b688f69-d636-43e1-9aa3-1e84b711044d (Local ID)7b688f69-d636-43e1-9aa3-1e84b711044d (Archive number)7b688f69-d636-43e1-9aa3-1e84b711044d (OAI)
Note

Upprättat; 2015; 20150617 (mouhad)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-04-27
Schelén, O., Elragal, A. & Haddara, M. (2015). A roadmap for big-data research and education (ed.). Paper presented at . Luleå: Luleå tekniska universitet
Open this publication in new window or tab >>A roadmap for big-data research and education
2015 (English)Report (Other academic)
Abstract [en]

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.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2015. p. 10
Series
Technical report / Luleå University of Technology, ISSN 1402-1536
National Category
Media and Communication Technology Information Systems, Social aspects
Research subject
Mobile and Pervasive Computing; Information systems; Intelligent industrial processes (AERI); Enabling ICT (AERI)
Identifiers
urn:nbn:se:ltu:diva-24316 (URN)a77593be-a71c-4c7c-ae73-0cc30c31e50b (Local ID)978-91-7583-275-3 (ISBN)a77593be-a71c-4c7c-ae73-0cc30c31e50b (Archive number)a77593be-a71c-4c7c-ae73-0cc30c31e50b (OAI)
Note
Godkänd; 2015; 20150325 (olov)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-05-09Bibliographically approved
Haddara, M., Fragstrøm, A. & Maeland, B. (2015). Cloud ERP Systems: Anatomy of Adoption Factors & Attitudes (ed.). Paper presented at . Journal of Enterprise Resource Planning Studies, 2015, Article ID 521212.
Open this publication in new window or tab >>Cloud ERP Systems: Anatomy of Adoption Factors & Attitudes
2015 (English)In: Journal of Enterprise Resource Planning Studies, ISSN 2155-4781, E-ISSN 2155-4781, Vol. 2015, article id 521212Article in journal (Refereed) Published
Abstract [en]

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.

National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
urn:nbn:se:ltu:diva-10805 (URN)10.5171/2015.521212 (DOI)9ab49312-86d6-488c-91f1-1028470be5cd (Local ID)9ab49312-86d6-488c-91f1-1028470be5cd (Archive number)9ab49312-86d6-488c-91f1-1028470be5cd (OAI)
Note
Validerad; 2015; Nivå 1; 20150617 (mouhad)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Haddara, M. & Elragal, A. (2015). The Readiness of ERP Systems for the Factory of the Future (ed.). Paper presented at Conference on ENTERprise Information Systems : 07/10/2015 - 09/10/2015. Procedia Computer Science, 64, 721-728
Open this publication in new window or tab >>The Readiness of ERP Systems for the Factory of the Future
2015 (English)In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 64, p. 721-728Article in journal (Refereed) Published
Abstract [en]

"In 2011, at the Hanover Fair, the term Industry 4.0 was first coined. In October 2012, the Working Group on Industry 4.0, presented a set of implementation recommendations to the German government. The term Industry 4.0 initiates from a project in the high-tech strategy of the German government. Such project advocates the computerization of the manufacturing industry. It is also known as the 4th industrial revolution. Precisely speaking, industry 4.0 is based on the technological concepts of cyber-physical systems, Internet of Things (IoT), which enables the Factory of the Future (FoF). Within the modular structured smart factories of Industry 4.0, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralized decisions. Over the IoT, Cyber-physical systems communicate and cooperate with each other and with humans in real time. Enterprise resource planning (ERP) systems are considered the backbone for the Industry 4.0. Thus, this paper attempts to answer the research question: “Are today’s ERP systems ready for the FoF?”. We have conducted interviews with manufacturers, ERP vendors, and partners in order to check on the readiness of ERP systems for the FoF. Our results show that ERP systems are ready for the FoF."

Keywords
Big Data, ERP Systems, Internet of things, Factory of the future, Information technology - Computer science, Informationsteknik - Datorvetenskap
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
urn:nbn:se:ltu:diva-34950 (URN)10.1016/j.procs.2015.08.598 (DOI)000373839900090 ()2-s2.0-84962810199 (Scopus ID)943ef691-f087-43a5-aa48-b97be6a373d7 (Local ID)943ef691-f087-43a5-aa48-b97be6a373d7 (Archive number)943ef691-f087-43a5-aa48-b97be6a373d7 (OAI)
Conference
Conference on ENTERprise Information Systems : 07/10/2015 - 09/10/2015
Note
Validerad; 2015; Nivå 1; 20150617 (mouhad); Konferensartikel i tidskriftAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Elragal, A. & Haddara, M. (2014). Big Data Analytics: A Text Mining-Based Literature Analysis (ed.). Paper presented at Norsk konferanse for organisasjoners bruk av informasjonsteknologi : 17/11/2014 - 19/11/2014. NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi, 22(1)
Open this publication in new window or tab >>Big Data Analytics: A Text Mining-Based Literature Analysis
2014 (English)In: NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi, ISSN 1892-0748, E-ISSN 1894-7719, Vol. 22, no 1Article in journal (Refereed) Published
Abstract [en]

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.

Keywords
Big Data, Text Mining, Literature Review, Information technology - Computer science, Informationsteknik - Datorvetenskap
National Category
Information Systems, Social aspects
Research subject
Information systems; Enabling ICT (AERI)
Identifiers
urn:nbn:se:ltu:diva-37864 (URN)c06eae86-8e3a-4c7e-8859-8fa2a441bf6c (Local ID)c06eae86-8e3a-4c7e-8859-8fa2a441bf6c (Archive number)c06eae86-8e3a-4c7e-8859-8fa2a441bf6c (OAI)
Conference
Norsk konferanse for organisasjoners bruk av informasjonsteknologi : 17/11/2014 - 19/11/2014
Note
Godkänd; 2014; 20141108 (ahmelr); Konferensartikel i tidskriftAvailable from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-30Bibliographically approved
Haddara, M. (2014). ERP Selection: The SMART Way (ed.). Paper presented at Conference on ENTERprise Information Systems : aligning technology, organizations and people 15/10/2014 - 17/10/2014. Procedia Technology - Elsevier, 16, 394-403
Open this publication in new window or tab >>ERP Selection: The SMART Way
2014 (English)In: Procedia Technology - Elsevier, ISSN 2212-0173, E-ISSN 2212-0173, Vol. 16, p. 394-403Article in journal (Refereed) Published
Abstract [en]

Enterprise resource planning (ERP) systems implementation projects are challenging and resource consuming. There are several phases in the ERP implementation process. One of the earliest and most critical phases is the ERP selection phase. If an organization selects an inadequate ERP to fit their needs, the project will most likely destine to fail. Research and practice have provided several cases of ERP project failures because of a faulty selection process. No matter what amendments the adopting company undertakes in the later phases, if there is no fit, there is no success. This research, presents an explanatory case study, which employed a simple multi-attribute rating technique (SMART)-based ERP selection method. The selection method was mainly based on developing process maps for all the critical business processes inside the organization, and then checking the degree of compliance of the potential ERP packages with those developed process maps. In addition, other factors were also included in the ERP evaluation and selection process. As the ERP was assured to be matching the business requirements, the method and the selection factors have been proven adequate for the selection process. In addition, this minimizes the risk of a non-fitting ERP system and consequent project failures.

Keywords
Statistics, computer and systems science - Informatics, computer and systems science, Statistik, data- och systemvetenskap - Informatik, data- och systemvetenskap
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
urn:nbn:se:ltu:diva-30289 (URN)10.1016/j.protcy.2014.10.105 (DOI)000360404800044 ()40ce69ae-a0ae-43a4-8a82-7bb6998c47ef (Local ID)40ce69ae-a0ae-43a4-8a82-7bb6998c47ef (Archive number)40ce69ae-a0ae-43a4-8a82-7bb6998c47ef (OAI)
Conference
Conference on ENTERprise Information Systems : aligning technology, organizations and people 15/10/2014 - 17/10/2014
Note
Validerad; 2014; 20141111 (mouhad); Konferensartikel i tidskriftAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Haddara, M., Mœland, B. & Fragstrøm, A. (2014). Perception of SaaS Adaption in Norwegian Enterprises: focus on ERP (ed.). Paper presented at Norsk konferanse for organisasjoners bruk av informasjonsteknologi : 17/11/2014 - 19/11/2014. NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi, 22(1)
Open this publication in new window or tab >>Perception of SaaS Adaption in Norwegian Enterprises: focus on ERP
2014 (English)In: NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi, ISSN 1892-0748, E-ISSN 1894-7719, Vol. 22, no 1Article in journal (Refereed) Published
Abstract [en]

Despite the vast amount of research that has been conducted on enterprise resource planning (ERP) systems and Cloud/ software-as-a-service (SaaS) in isolation, few studies have explored the topic of Cloud/SaaS ERP – particularly attitudes held towards these systems. Based on an assessment of literature and the Theory of Planned Behavior, a questionnaire focusing on benefits and disadvantages of SaaS-based ERP systems was sent to IT officers in 839 Norwegian companies. Responses from 180 companies helped to shed light on attitudes towards SaaS ERP adoptions. To a certain extent, the results come inline with existing research. There were, however, a couple of noteworthy exceptions. One such was the rather surprising lack of data security concerns amongst the respondents, who ranked it to be the least of their concerns. Another surprise was that despite strong indications found in literature, the promise of lowered Total Cost of Ownership was not perceived to be ensnaring benefit. Instead, respondents viewed vendor dependency to be the least favorable trait of such systems, and accessibility to be the significantly most advantageous. A regression analysis of the results was performed to identify the level of which the various benefits and advantages affected respondents’ attitudes.

Keywords
ERP Systems, Cloud Computing, Software-as-a-Service, SaaS, Norway, Information technology - Computer science, Informationsteknik - Datorvetenskap
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
urn:nbn:se:ltu:diva-37947 (URN)c271334d-9ffc-4589-8d44-0948c649c7d9 (Local ID)c271334d-9ffc-4589-8d44-0948c649c7d9 (Archive number)c271334d-9ffc-4589-8d44-0948c649c7d9 (OAI)
Conference
Norsk konferanse for organisasjoners bruk av informasjonsteknologi : 17/11/2014 - 19/11/2014
Note
Godkänd; 2014; 20141122 (mouhad); Konferensartikel i tidskriftAvailable from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-30Bibliographically approved
Haddara, M. & Elragal, A. (2013). ERP adoption cost factors identification and classification: a study in SMEs (ed.). International journal of information systems and project management, 1(2), 5-21
Open this publication in new window or tab >>ERP adoption cost factors identification and classification: a study in SMEs
2013 (English)In: International journal of information systems and project management, ISSN 2182-7796, E-ISSN 2182-7788, Vol. 1, no 2, p. 5-21Article in journal (Refereed) Published
Abstract [en]

Enterprise resource planning (ERP) systems adoptions require substantial resources and investments. The majority of businesses around the globe can be considered to be small and medium sized enterprises (SMEs). Thus, SMEs are seen to be typical companies that are the cornerstone of most economies. Compared with large enterprises, an SME-context contains several characteristics, and scarcity of resources is among the top of them. For SMEs, unplanned costs escalation could pose a serious threat to their stability and survival in the market. Frequently, ERP projects have crossed their estimated budgets and schedules. Researchers and practitioners state that a prevailing number of ERP adoption projects fail due to inaccurate or to too optimistic budgets/schedules. In addition, many organizations face difficulties in identifying the potential cost factors that could occur during their ERP adoption lifecycle. While focusing on the SME-context, this research attempts to identify potential costs that could occur in ERP adoptions. The research method employed in this study targeted diverse stakeholders and experts involved in ERP projects in Egypt. This research provides a list of cost factors and their classifications that could aid adopting organizations to better estimate their needed ERP project budgets. In particular, this research explores the direct and indirect cost factors that occur in ERP adoptions in Egyptian SMEs. Also, this study investigates the influence of some SME-specific contextual factors on costs. Moreover, the paper provides a ranking of cost factors according to their impact on total adoption costs.

National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
urn:nbn:se:ltu:diva-13649 (URN)ce60ec91-f220-45c3-b122-414d232cb667 (Local ID)ce60ec91-f220-45c3-b122-414d232cb667 (Archive number)ce60ec91-f220-45c3-b122-414d232cb667 (OAI)
Note

Godkänd; 2013; 20150629 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Haddara, M. & Elragal, A. (2013). ERP lifecycle: A retirement case study (ed.). Paper presented at . Information Resources Management Journal, 26(1), 1-11
Open this publication in new window or tab >>ERP lifecycle: A retirement case study
2013 (English)In: Information Resources Management Journal, ISSN 1040-1628, E-ISSN 1533-7979, Vol. 26, no 1, p. 1-11Article in journal (Refereed) Published
Abstract [en]

A lot of research has been undertaken focusing on ERP systems lifecycles, but very little paid attention to retirement. ERP retirement means the replacement of an ERP with another. The aim of this research paper is to investigate why and when should organizations retire their ERP systems. A convenience case study of a SME has been selected from Egypt. The case study under investigation has retired their local ERP system and replaced it with SAP ERP. Results of the analysis indicate that reasons of retirement were: wrong selection, users were not involved in the selection process, and lack of an official implementation methodology. This is considered a new finding since main stream literature was mainly focused on retirement after maturity. Copyright © 2013, IGI Global.

Keywords
Case study, ERP, Lifecycle, Retirement, SME
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
urn:nbn:se:ltu:diva-10641 (URN)10.4018/irmj.2013010101 (DOI)84877881537 (Scopus ID)97928ba6-f0ae-4504-84ee-d9db1738b72a (Local ID)97928ba6-f0ae-4504-84ee-d9db1738b72a (Archive number)97928ba6-f0ae-4504-84ee-d9db1738b72a (OAI)
Note
Upprättat; 2013; 20150617 (ahmelr)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Thapa, D. & Haddara, M. (2013). Long-term preservation of 3D architectural building data: a literature review (ed.). In: (Ed.), (Ed.), Norsk konferanse for organisasjoners bruk av informasjonsteknologi, NOKOBIT 2013: Universitetet i Stavanger, 18. – 20. november 2013. Paper presented at Norsk konferanse for organisajoners bruk av it : 18/11/2013 - 20/11/2013 (pp. 117-130). Oslo/Trondheim: Tapir Academic Press
Open this publication in new window or tab >>Long-term preservation of 3D architectural building data: a literature review
2013 (English)In: Norsk konferanse for organisasjoners bruk av informasjonsteknologi, NOKOBIT 2013: Universitetet i Stavanger, 18. – 20. november 2013, Oslo/Trondheim: Tapir Academic Press , 2013, p. 117-130Conference paper, Published paper (Refereed)
Abstract [en]

As a part of the on-going DURAARK project, this review summarizes research on long term digital preservation (LDP) of 3D architectural data related to architecture, engineering, and construction, within the domain of libraries, museums, archives, and small and medium sized enterprises (SMEs). The paradigm shift from 2D to 3D modelling raised new challenges for long-term preservation of the architectural data. For example, the original 3D models and the actual state of built architectures might lose fidelity in the long run because of environmental influences and systematic changes. Likewise, the access mechanisms of current preservation systems in the architectural domain are based on simple metadata schemas inherited from the analogue world, for example searching with a card index. In the absence of standard process and LDP strategies for 3D architectural data, it would be difficult to store and retrieve the detailed semantic information from the archival systems in the long run. Considering the various challenges in capturing, preserving, retrieving, and securing the 3D architectural data, this literature review is an endeavour to synthesize the current research findings and highlights the areas that lack sufficient research with regard to long term preservation of 3D architectural data. The paper employs open archival information systems (OAIS) models, a de facto standard for the LDP, to analyse the shortlisted publications. Finally, the paper presents on-going efforts and goals of DURAARK, an EU funded project.

Place, publisher, year, edition, pages
Oslo/Trondheim: Tapir Academic Press, 2013
Series
NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi, ISSN 1894-7719
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Science
Identifiers
urn:nbn:se:ltu:diva-32228 (URN)6a775591-fa0d-4272-87e4-2705d575ee19 (Local ID)978-82-321-0373-7 (ISBN)6a775591-fa0d-4272-87e4-2705d575ee19 (Archive number)6a775591-fa0d-4272-87e4-2705d575ee19 (OAI)
Conference
Norsk konferanse for organisajoners bruk av it : 18/11/2013 - 20/11/2013
Note
Validerad; 2013; 20130925 (devtha)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
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