scholarly journals Critical Success Factors for Migrating to OSS-on-the-Desktop: Common Themes across Three South African Case Studies

Author(s):  
Daniel Brink ◽  
Llewelyn Roos ◽  
James Weller ◽  
Jean-Paul Van Belle
Author(s):  
Daniel Brink

Although open source software (OSS) has been widely implemented in the server environment, it is still not as widely adopted on the desktop. This chapter presents a migration model for moving from an existing proprietary desktop platform (such as MS Offi ce on an MS Windows environment) to an open source desktop such as OpenOffi ce on Linux using the Gnome graphical desktop. The model was inspired by an analysis of the critical success factors in three detailed case studies of South African OSS-on-thedesktop migrations. It provides a high-level plan for migration and is illustrated with an example. This chapter thus provides a practical guide to assist professionals or decision makers with the migration of all or some of their desktops from a proprietary platform to an OSS environment.


Author(s):  
Simona Sternad ◽  
Samo Bobek ◽  
Zdenko Dezelak ◽  
Ana Lampret

Enterprise resource planning (ERP) solution implementation is a complex process, that requires substantial resources and efforts, and yet the results are very uncertain. The ERP hype has already reached SMEs, so the authors have examined the strategies, methods and critical success factors from SMEs point of view. The results of our survey in SMEs in Slovenia have shown that SMEs have to pay attention to different critical success factors in different phases of the implementation process. Moreover, there are differences in implementation process as opposed to large companies. Case studies of two SMEs have shown similar results. Recommendations for future SME implementations and comments of our findings can be found in conclusion.


Author(s):  
Naciye Güliz Uğur ◽  
Aykut Hamit Turan

For an organization every year, a large amount of information is generated regarding its employees, customers, business partners, suppliers, etc. Volume, which is one of the attributes of big data, is aptly named because of the vast number of data sources and the size of data generated by these sources. Big data solutions should not only focus on the technological aspects, but also on the challenges that may occur during the project lifecycle. The main purpose of this research is to build on the current diverse literature around big data by contributing discussion on factors that influence successful big data projects. The systematic literature review adopted in this study includes relevant research regarding such critical success factors that are validated in previous studies. The study compiled these critical success factors as provided in the literature regarding big data projects. Notable success factors for big data projects were compiled from literature such as case studies, theoretical observations, or experiments.


2016 ◽  
Vol 33 (7) ◽  
pp. 942-984 ◽  
Author(s):  
Mehran C. Ferdowsian

Purpose – The purpose of this paper is to identify and address the underlying causes of costly quality/ethical problems that have prevented companies to achieve and sustain excellence. More broadly, the study has leveraged data from multiple sources to determine root-cause issues and propose a new management model that enables leadership to prevent and effectively address quality/ethical problems by operationalizing excellence. For the purpose of this research, operationalization is defined in terms of developing a sustained culture of excellence and enabling a firm to systematically prevent, detect, and address costly problems in their daily operations. Design/methodology/approach – The study has defined the concept of excellence in terms of measurable results based on ten critical success factors: products, financials, stakeholders, employees, leadership, societal, operational, innovation, alignment, and ethical excellence. To identify and address the underlying causes, this study has used a spiral research model to develop and improve an assessment process for the consistent examination of three types of firms: national quality award recipients, successful and responsible Fortune-500 companies, and landmark ethical violators. Findings from case studies were then substantiated using results from current research studies and conclusions from over 20 years of international field work/experience. Findings – To operationalize excellence, this study found that organizations need to develop a foundation for two tightly coupled and inseparable variables: ethics, excellence. Case studies show when these two variables are inadequately planned, integrated, checked, and enforced across business operations, they cause serious and costly problems. This foundation enables a firm to maximize performance, the return on investment, and to sustain performance in each of these critical success factors (CSFs) using the following interconnected building blocks of excellence: grander purpose, measurable results, effective collaboration, leadership development, individual development, continuous alignment, continuous innovation, ethics management, and ethics foundation. Research limitations/implications – The application of the assessment instrument proved to be complex due to the difficulties of transforming conjecture into certainty using existing online corporate records (e.g. understanding true leadership intention). Findings of this study are applicable to any industry and type and size company. The building blocks of this new management model should not be developed and implemented in an isolated, standalone, or piecemeal manner; nor should they be forced onto an organization as a new program. For best results, each building block needs to be implemented as an interconnected component of a complete and total system of management and infused into the fabric of the culture as a normal part of the daily operations. Originality/value – Total business excellence is a proposed new management model for operationalizing excellence. This new model serves three major purposes. First, it enables an enterprise to responsibly deliver a continuous flow of innovative and competitive products as defined and measured by ten CSFs. Second, it enables management to prevent costly quality/ethical problems by developing a unified and responsible strategy for planning, execution, and quality. Most importantly, it provides a missing platform of opportunity where individuals can incrementally grow and develop as they add meaningful personal, professional, and societal value.


2013 ◽  
Vol 15 (1) ◽  
Author(s):  
Lionel Dawson ◽  
Jean-Paul Van Belle

Background: Business intelligence (BI) has become an important part of the solution to providing businesses with the vital decision-making information they need to ensure sustainability and to build shareholder value. Critical success factors (CSFs) provide insight into those factors that organisations need to address to improve new BI projects’ chances of success.Objectives: This research aimed to determine which CSFs are the most important in the financial services sector of South Africa.Method: The authors used a Delphi-technique approach with key project stakeholders in three BI projects in different business units of a leading South African financial services group.Results: Authors regarded CSF categories of ‘committed management support and champion’,‘business vision’, ‘user involvement’ and ‘data quality’ as the most critical for BI success.Conclusions: Researchers in the BI field should note that the ranking of CSFs in this study only correlate partially with those a European study uncovered. However, the five factors the authors postulated in their theoretical framework ranked in the seven highest CSFs. Therefore, they provide a very strong validation of the framework. Research in other industries and other emerging economies may discover similar differences and partial similarities. Of special interest would be the degree of correlation between this study and future, and similar emerging market studies. Practitioners, especially BI project managers, would do well to check that they address the CSFs the authors uncovered before undertaking BI projects.


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