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Ben Light - One of the best experts on this subject based on the ideXlab platform.
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The Social Shaping of Packaged Software Selection
Journal of the Association for Information Systems, 2010Co-Authors: Debra Howcroft, Ben LightAbstract:As organisations increasingly engage in the Selection, purchase, and adoption of packaged Software products, how these activities are carried out in practice becomes increasingly relevant for researchers and practitioners. Our focus in this paper is to propose a framework for understanding the packaged Software Selection process. The functionalist literature on this area of study suggests a number of generic recommendations, which are based on rational assumptions about the process and view the decision making that takes place as producing the “best technology solution.’” To explore this, we conducted a longitudinal, in-depth study of packaged Software Selection in a small organisation. For interpretation of the case, we draw upon the Social Construction of Technology, a theoretical framework arguing that technology is socially constituted and regarding the process of development as contradictory and uncertain. We offer a number of contributions. First, we further our understanding of packaged Software Selection with the critique that we offer of the functionalist literature, drawing insights from the emerging critical/constructivist literature and expanding our domain of interest to encompass the wider environment. Second, we weave this together with our experiences in the field, drawing on social constructivism for theoretical support, to develop a framework of packaged Software Selection that shows how various actors shape the process.
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IT consultants, salesmanship and the challenges of packaged Software Selection in SMEs
Journal of Enterprise Information Management, 2008Co-Authors: Debra Howcroft, Ben LightAbstract:Purpose – This paper seeks to analyse the process of packaged Software Selection in a small organization, focussing particularly on the role of IT consultants as intermediaries in the process.Design/methodology/approach – This is based upon a longitudinal, qualitative field study concerning the adoption of a customer relationship management package in an SME management consultancy.Findings – The authors illustrate how the process of “salesmanship”, an activity directed by the vendor/consultant and focussed on the interests of senior management, marginalises user needs and ultimately secures the procurement of the Software package.Research limitations/implications – Despite the best intentions the authors lose something of the rich detail of the lived experience of technology in presenting the case study as a linear narrative. Specifically, the authors have been unable to do justice to the complexity of the multifarious ways in which individual perceptions of the project were influenced and shaped by the o...
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IT consultants, salesmanship and the challenges of packaged Software Selection in SMEs
Journal of Enterprise Information Management, 2008Co-Authors: Debra Howcroft, Ben LightAbstract:Purpose – This paper seeks to analyse the process of packaged Software Selection in a small organization, focussing particularly on the role of IT consultants as intermediaries in the process. Design/methodology/approach – This is based upon a longitudinal, qualitative field study concerning the adoption of a customer relationship management package in an SME management consultancy. Findings – The authors illustrate how the process of “salesmanship”, an activity directed by the vendor/consultant and focussed on the interests of senior management, marginalises user needs and ultimately secures the procurement of the Software package. Research limitations/implications – Despite the best intentions the authors lose something of the rich detail of the lived experience of technology in presenting the case study as a linear narrative. Specifically, the authors have been unable to do justice to the complexity of the multifarious ways in which individual perceptions of the project were influenced and shaped by the opinions of others. Practical implications – Practitioners, particularly those from within SMEs, should be made aware of the ways in which external parties may have a vested interest in steering projects in a particular direction, which may not necessarily align with their own interests. Originality/value – This study highlights in detail the role of consultants and vendors in Software Selection processes, an area which has received minimal attention to date. Prior work in this area emphasises the necessary conditions for, and positive outcomes of, appointing external parties in an SME context, with only limited attention being paid to the potential problems such engagements may bring.
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An interpretive field study of packaged Software Selection processes
2003Co-Authors: Ben LightAbstract:Packaged Software is pre-built with the intention of licensing it to users in domestic settings and work organisations. This thesis focuses upon the work organisation where packaged Software has been characterised as one of the latest ‘solutions’ to the problems of information systems. The study investigates the packaged Software Selection process that has, to date, been largely viewed as objective and rational. In contrast, this interpretive study is based on a 2½ year long field study of organisational experiences with packaged Software Selection at T.Co, a consultancy organisation based in the United Kingdom. Emerging from the iterative process of case study and action research is an alternative theory of packaged Software Selection. The research argues that packaged Software Selection is far from the rationalistic and linear process that previous studies suggest. Instead, the study finds that aspects of the traditional process of Selection incorporating the activities of gathering requirements, evaluation and Selection based on ‘best fit’ may or may not take place. Furthermore, even where these aspects occur they may not have equal weight or impact upon implementation and usage as may be expected. This is due to the influence of those multiple realities which originate from the organisational and market environments within which packages are created, selected and used, the lack of homogeneity in organisational contexts and the variously interpreted characteristics of the package in question.
Scott Matthew Sutton - One of the best experts on this subject based on the ideXlab platform.
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PLM Software Selection Model for Project Management Using Hierarchical Decision Modeling With Criteria From PMBOK® Knowledge Areas
Engineering Management Journal, 2014Co-Authors: James Eastham, David Tucker, Sumir Varma, Scott Matthew SuttonAbstract:Abstract:This article presents a methodology for product lifecycle management (PLM) Software Selection utilizing the nine knowledge areas of the Project Management Body of Knowledge (PMBOK®) (A Guide to the Project Management Body of Knowledge (PMBOK® Guide, 2008). The methodology utilizes a five-process gate approach where the PLM offerings are researched, sorted, paired down, evaluated, and implemented. The primary decision model utilizes hierarchical decision modeling (HDM). Prioritizations are assigned to the PMBOK® knowledge areas utilizing a pair-wise comparison survey and then assessed across the different PLM system offerings. The proposed decision methodology is meant to serve only as a guide to assist with Selection of PLM Software from a project management perspective. To validate the model, several applications are presented that apply the Selection methodology to different industries: semiconductor, information technology (IT), and automotive supply.
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PLM Software Selection model for project management using hierarchical decision modeling with criteria from PMBOK knowledge areas
2013Co-Authors: James Eastham, David Tucker, Sumir Varma, Scott Matthew SuttonAbstract:This paper presents a methodology for product lifecycle management (plm) Software Selection utilizing the nine knowledge areas of the project management body of knowledge (pmbok). The methodology utilizes a five process gate approach where the plm offerings are researched, sorted, paired down, evaluated, and implemented. The primary decision model utilizes hierarchical decision modeling (hdm). Prioritizations are assigned to the pmbok knowledge areas utilizing a pair-wise comparison survey and then assessed across the different plm system offerings. The proposed decision methodology is meant to serve only as a guide to assist with Selection of plm Software from a project management perspective. To validate the model, several case studies are presented that apply the Selection methodology to different industries: semiconductor, information technology (it), and automotive supply.
Hayri Baraçli - One of the best experts on this subject based on the ideXlab platform.
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fuzzy quality function deployment based methodology for acquiring enterprise Software Selection requirements
Expert Systems With Applications, 2010Co-Authors: Hayri BaraçliAbstract:In many Software acquisition methods, functional Software requirements are resolved, but non-functional requirements are more or less deliberately put aside. A large body of research exists on the necessity of handling specific non-functional requirements as major drivers in the Software development process. However, prior research does not provide adequate support for managing non-functional requirements in the Software Selection process, and suggests a unique technique and methodology for identifying the Selection criteria. This paper presents a fuzzy quality function deployment approach for determining which of the non-functional requirements reported by earlier studies are important to a company's Software Selection decision based on and integrated with its functional requirements. The solution provided in this study not only assists decision makers in acquiring Software requirements and defining Selection criteria, but also supports determining the relative importance of these criteria. An actual case in Audio Electronics of Turkey's electronic industry demonstrates the feasibility of applying the proposed framework in practice.
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A LITERATURE REVIEW AND CLASSIFICATION OF ENTERPRISE Software Selection APPROACHES
International Journal of Information Technology and Decision Making, 2009Co-Authors: Ceyda Güngör Şen, Hayri Baraçli, Selçuk ŞenAbstract:The evaluation and Selection of enterprise Software has become increasingly difficult for decision makers due to a large number of Software products available for many applications. Therefore, systematic and repeatable approaches are needed in order to select the appropriate product that best meets the customer requirements. In this paper, we present a literature review and classification of enterprise Software Selection approaches from the period 1982–2007. In addition to classifying the selected approaches by functional perspective, the decision-making methods used by these approaches in the generic phases of Software Selection process are also presented. Results are summarized with comprehensive classification tables. This study is intended as a source for academics and practitioners alike interested in Software Selection problem, especially those who want to see alternative decision-making techniques that can be used to support the every single step of Software Selection process.
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An integrated decision support system dealing with qualitative and quantitative objectives for enterprise Software Selection
Expert Systems With Applications, 2009Co-Authors: Ceyda Güngör Şen, Hayri Baraçli, Selçuk Şen, Huseyin BasligilAbstract:Previous methods for enterprise Software Selection generally take into account the attributes that are restricted to some financial factors, such as costs and benefits. However, the literature lacks studies on considering the evaluation of both functional and non-functional suitability of Software alternatives versus various requirements. This study presents a new decision support system for combining these two kinds of evaluation to select suitable enterprise Software. A hierarchical objective structure that contains both qualitative and quantitative objectives is proposed to evaluate Software products systematically. This approach uses a heuristic algorithm, a fuzzy multi-criteria decision making procedure and a multiobjective programming model to make final Selection decision. All the phases of presented method are applied in an electronic company's ERP Software Selection project to validate it with a real application. The satisfactory results are obtained during this project. The company can select the right Software to fit its business processes instead of adapting its business processes to fit the Software.
James Eastham - One of the best experts on this subject based on the ideXlab platform.
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PLM Software Selection Model for Project Management Using Hierarchical Decision Modeling With Criteria From PMBOK® Knowledge Areas
Engineering Management Journal, 2014Co-Authors: James Eastham, David Tucker, Sumir Varma, Scott Matthew SuttonAbstract:Abstract:This article presents a methodology for product lifecycle management (PLM) Software Selection utilizing the nine knowledge areas of the Project Management Body of Knowledge (PMBOK®) (A Guide to the Project Management Body of Knowledge (PMBOK® Guide, 2008). The methodology utilizes a five-process gate approach where the PLM offerings are researched, sorted, paired down, evaluated, and implemented. The primary decision model utilizes hierarchical decision modeling (HDM). Prioritizations are assigned to the PMBOK® knowledge areas utilizing a pair-wise comparison survey and then assessed across the different PLM system offerings. The proposed decision methodology is meant to serve only as a guide to assist with Selection of PLM Software from a project management perspective. To validate the model, several applications are presented that apply the Selection methodology to different industries: semiconductor, information technology (IT), and automotive supply.
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PLM Software Selection model for project management using hierarchical decision modeling with criteria from PMBOK knowledge areas
2013Co-Authors: James Eastham, David Tucker, Sumir Varma, Scott Matthew SuttonAbstract:This paper presents a methodology for product lifecycle management (plm) Software Selection utilizing the nine knowledge areas of the project management body of knowledge (pmbok). The methodology utilizes a five process gate approach where the plm offerings are researched, sorted, paired down, evaluated, and implemented. The primary decision model utilizes hierarchical decision modeling (hdm). Prioritizations are assigned to the pmbok knowledge areas utilizing a pair-wise comparison survey and then assessed across the different plm system offerings. The proposed decision methodology is meant to serve only as a guide to assist with Selection of plm Software from a project management perspective. To validate the model, several case studies are presented that apply the Selection methodology to different industries: semiconductor, information technology (it), and automotive supply.
Kerim Goztepe - One of the best experts on this subject based on the ideXlab platform.
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an erp Software Selection process with using artificial neural network based on analytic network process approach
Expert Systems With Applications, 2009Co-Authors: Harun Resit Yazgan, Semra Boran, Kerim GoztepeAbstract:An enterprise resource planning (ERP) Software Selection is known to be multi attribute decision making (MADM) problem. This problem has been modeled according with analytic network process (ANP) method due to fact that it considers criteria and sub criteria relations and interrelations in selecting the Software. Opinions of many experts are obtained while building ANP model for the Selection ERP then opinions are reduced to one single value by methods like geometric means so as to get desired results. To use ANP model for the Selection of ERP for a new organization, a new group of expert's opinions are needed. In this case the same problem will be in counter. In the proposed model, when ANP and ANN models are setup, an ERP Software Selection can be made easily by the opinions of one single expert. In that case calculation of geometric mean of answers that obtained from many experts will be unnecessary. Additionally the effect of subjective opinion of one single decision maker will be avoided. In terms of difficulty, ANP has some difficulties due to eigenvalue and their limit value calculation. An ANN model has been designed and trained with using ANP results in order to calculate ERP Software priority. The artificial neural network (ANN) model is trained by results obtained from ANP. It seems that there is no any major difficulty in order to predict Software priorities with trained ANN model. By this results ANN model has been come suitable for using in the Selection of ERP for another new decision.
