23,210 research outputs found

    ERP implementation methodologies and frameworks: a literature review

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    Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history

    Storage Solutions for Big Data Systems: A Qualitative Study and Comparison

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    Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design decisions involved in big data systems design include choosing appropriate storage and computing infrastructures. In this age of heterogeneous systems that integrate different technologies for optimized solution to a specific real world problem, big data system are not an exception to any such rule. As far as the storage aspect of any big data system is concerned, the primary facet in this regard is a storage infrastructure and NoSQL seems to be the right technology that fulfills its requirements. However, every big data application has variable data characteristics and thus, the corresponding data fits into a different data model. This paper presents feature and use case analysis and comparison of the four main data models namely document oriented, key value, graph and wide column. Moreover, a feature analysis of 80 NoSQL solutions has been provided, elaborating on the criteria and points that a developer must consider while making a possible choice. Typically, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings forth second facet of big data storage, big data file formats, into picture. The second half of the research paper compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Decentralized storage and blockchain are seen as the next generation of big data storage and its challenges and future prospects have also been discussed

    Government cloud computing and the policies of data sovereignty

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    Government cloud services are a new development at the intersection of electronic government and cloud computing which holds the promise of rendering government service delivery more effective and efficient. Cloud services are virtual, dynamic and potentially stateless which has triggered governments' concern about data sovereignty. This paper explores data sovereignty in relation to government cloud services and how national strategies and international policy evolve. It concludes that for countries data sovereignty presents a legal risk which can not be adequately addressed with technology or through contractual arrangements alone. Governments therefore adopt strategies to retain exclusive jurisdiction over government information. --cloud computing,electronic government,data sovereignty,data ownership,information assurance,international data transfers

    BIM and its impact upon project success outcomes from a Facilities Management perspective

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    The uptake of Building Information Modelling (BIM) has been increasing, but some of its promoted potential benefits have been slow to materialise. In particular, claims that BIM will revolutionise facilities management (FM) creating efficiencies in the whole-life of building operations have yet to be achieved on a wide scale, certainly in comparison to tangible progress made for the prior design and construction phases. To attempt to unravel the factors at play in the adoption of BIM during the operational phase, and in particular, understand if adoption by facilities managers (FMs) is lagging behind other disciplines, this study aims to understand if current BIM processes can ease the challenges in this area faced by facilities management project stakeholders. To do this, success from a facilities management viewpoint is considered and barriers to facilities management success are explored, with focused BIM use proposed as a solution to these barriers. Qualitative research was undertaken, using semi structured interviews to collect data from a non-probability sample of 7 project- and facilities- management practitioners. Key results from this study show that the main barrier to BIM adoption by facilities managers is software interoperability, with reports that facilities management systems are unable to easily import BIM data produced during the design and construction stages. Additionally, facilities managers were not treated as salient stakeholders by Project Managers, further negatively affecting facilities management project success outcomes. A ”resistance to change was identified as another barrier, as facilities managers were sceptical of the ability of current BIMenabled systems promoted as being FM compatible to be able to replicate their existing Computer Aided Facility Management (CAFM) legacy software and its user required capabilities. The results of this study highlight that more work is needed to ensure that BIM benefits the end user, as there was no reported use of BIM data for dedicated facilities management purposes. Further investigation into the challenges of interoperability could add significant value to this developing research area.The uptake of Building Information Modelling (BIM) has been increasing, but some of its promoted potential benefits have been slow to materialise. In particular, claims that BIM will revolutionise facilities management (FM) creating efficiencies in the whole-life of building operations have yet to be achieved on a wide scale, certainly in comparison to tangible progress made for the prior design and construction phases. To attempt to unravel the factors at play in the adoption of BIM during the operational phase, and in particular, understand if adoption by facilities managers (FMs) is lagging behind other disciplines, this study aims to understand if current BIM processes can ease the challenges in this area faced by facilities management project stakeholders. To do this, success from a facilities management viewpoint is considered and barriers to facilities management success are explored, with focused BIM use proposed as a solution to these barriers. Qualitative research was undertaken, using semi structured interviews to collect data from a non-probability sample of 7 project- and facilities- management practitioners. Key results from this study show that the main barrier to BIM adoption by facilities managers is software interoperability, with reports that facilities management systems are unable to easily import BIM data produced during the design and construction stages. Additionally, facilities managers were not treated as salient stakeholders by Project Managers, further negatively affecting facilities management project success outcomes. A ”resistance to change was identified as another barrier, as facilities managers were sceptical of the ability of current BIMenabled systems promoted as being FM compatible to be able to replicate their existing Computer Aided Facility Management (CAFM) legacy software and its user required capabilities. The results of this study highlight that more work is needed to ensure that BIM benefits the end user, as there was no reported use of BIM data for dedicated facilities management purposes. Further investigation into the challenges of interoperability could add significant value to this developing research area

    Internationalisation of Innovation: Why Chip Design Moving to Asia

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    This paper will appear in International Journal of Innovation Management, special issue in honor of Keith Pavitt, (Peter Augsdoerfer, Jonathan Sapsed, and James Utterback, guest editors), forthcoming. Among Keith Pavitt's many contributions to the study of innovation is the proposition that physical proximity is advantageous for innovative activities that involve highly complex technological knowledge But chip design, a process that creates the greatest value in the electronics industry and that requires highly complex knowledge, is experiencing a massive dispersion to leading Asian electronics exporting countries. To explain why chip design is moving to Asia, the paper draws on interviews with 60 companies and 15 research institutions that are doing leading-edge chip design in Asia. I demonstrate that "pull" and "policy" factors explain what attracts design to particular locations. But to get to the root causes that shift the balance in favor of geographical decentralization, I examine "push" factors, i.e. changes in design methodology ("system-on-chip design") and organization ("vertical specialization" within global design networks). The resultant increase in knowledge mobility explains why chip design - that, in Pavitt's framework is not supposed to move - is moving from the traditional centers to a few new specialized design clusters in Asia. A completely revised and updated version has been published as: " Complexity and Internationalisation of Innovation: Why is Chip Design Moving to Asia?," in International Journal of Innovation Management, special issue in honour of Keith Pavitt, Vol. 9,1: 47-73.

    Using big data for customer centric marketing

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    This chapter deliberates on “big data” and provides a short overview of business intelligence and emerging analytics. It underlines the importance of data for customer-centricity in marketing. This contribution contends that businesses ought to engage in marketing automation tools and apply them to create relevant, targeted customer experiences. Today’s business increasingly rely on digital media and mobile technologies as on-demand, real-time marketing has become more personalised than ever. Therefore, companies and brands are striving to nurture fruitful and long lasting relationships with customers. In a nutshell, this chapter explains why companies should recognise the value of data analysis and mobile applications as tools that drive consumer insights and engagement. It suggests that a strategic approach to big data could drive consumer preferences and may also help to improve the organisational performance.peer-reviewe

    A Comprehensive Review of the Three Main Topic Modeling Algorithms and Challenges in Albanian Employability Skills

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    Today’s jobseekers face many obstacles while trying to find a career that aligns with their interests, employability soft skills, and professional experience. In Albania, jobseekers frequently initiate their job search by actively exploring job vacancies listed on various online job portals. The analysis of job vacancies posted online provides an added advantage to the labour market actors compared to traditional survey-based analyses. This is because it enables a faster analytical process, promotes decision-making based on accurate data, and should be carefully considered by every country when formulating their Labor Market Policies. Since the data posted online are unlabelled, it has been proven that the potential of unsupervised learning techniques, more precisely the Topic Modelling algorithms, is outstanding when applied to analysing job vacancies, mainly with regard to assessing employability soft skills. Algorithms in topic modelling are essential for uncovering hidden patterns in texts, facilitating the extraction of important data, generating document summaries, and enhancing content comprehension. This paper analyses and compares the three primary methodologies and algorithms used in topic modelling, which can be applied to analyse employability soft-skills: Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), and BERTopic. At the end of the paper, conclusions are drawn regarding superior performance and optimal algorithm applicability, challenges, and limitations through a review of studies conducted in the Albanian job market

    A Break in the Clouds: Towards a Cloud Definition

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    This paper discusses the concept of Cloud Computing to achieve a complete definition of what a Cloud is, using the main characteristics typically associated with this paradigm in the literature. More than 20 definitions have been studied allowing for the extraction of a consensus definition as well as a minimum definition containing the essential characteris- tics. This paper pays much attention to the Grid paradigm, as it is often confused with Cloud technologies. We also de- scribe the relationships and distinctions between the Grid and Cloud approaches
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