Identifying Model ERP Implementations

This paper attempts to discover the most desired attributes of a model ERP implementation project. The analysis, based on research conducted among a few dozen companies implementing an ERP system, employs the statistical methods of element grouping. First, using an agglomeration method, the number of groups was determined, which was used as a parameter in the subsequently applied k-Means method. The groups of homogenous projects were extracted, which were next ordered on the basis of average value of success measures achieved. In consequence, a group having the most desirable characteristics was distinguished, and the elements having the best parameters were recognized. On the opposite pole, objects with the least desirable characteristics were extracted from the group with the smallest average value of success measures. This procedure was applied three times, using: all indicators obtained during the research; exclusively indicators defining the implementation process; and only the measure of implementation effects

Identifying critical success factors of ERP systems at the higher education sector

In response to a range of contextual drivers, the worldwide adoption of ERP Systems in Higher Education Institutions (HEIs) has increased substantially over the past decade. Though the difficulties and high failure rate in implementing ERP systems at university environments have been cited in the literature, research on critical success factors (CSFs) for ERP implementations in this context is rare and fragmented. This paper is part of a larger research effort that aims to contribute to understanding the phenomenon of ERP implementations and evaluations in HEIs in the Australasian region; it identifies, previously reported, critical success factors (CSFs) in relation to ERP system implementations and discusses the importance of these factors

The relevance of specific csfs for stakeholders during ERP implementation: an empirical study from Oman

The success of ERP systems implementation is affected by the extent to which stakeholders have been prepared for the project activities and its outcomes. Stakeholders’ preparation needs change as the ERP implementation lifecycle progresses and varies across stakeholder groups. Therefore a dynamic model is needed for such preparation. However such a model needs to reflect the relevance of different CSFs to different stakeholder groups at different stages of the ERP implementation life-cycle. This study examines empirical evidence from a survey conducted in Omani organisations to determine what these individual CSFs are and how they are distributed across the ERP implementation life-cycle for different stakeholder groups. The CSFs included in the survey were derived from a structured review of literature. Purposive sampling was used to select respondents representing different ERP stakeholders groups, all respondents had both experience and knowledge of ERP implementations. The survey data are analysed and the distribution of relevant CSFs across the ERP lifecycle for the different stakeholder groups are presente

Multi-Stakeholder Assessment of Critical Success Factors: Insights from the World's Fastest SAP R/3 Implementation

Organizations invest substantial resources in Enterprise Systems (ES) expecting positive outcomes for the organization and its functions. Implementing an ES is a lengthy and costly undertaking, with general upheaval for many of the organizations. Many organizations therefore are seriously considering rapid ES-implementations to reduce cost and other related resources. This paper presents findings of a study conducted to understand critical success factors of rapid ES-implementations gathering data from the world’s fastest SAP implementation, completed in a record time of three weeks. Using a two-phased case study design, gathering data from four distinct stakeholders, this study recognized the relevance of critical success factors identified through the literature to the context of rapid ES-implementations. Moreover, the study identified three new critical success factors that are specific to rapid ES-implementations. The study also demonstrated differentiating views of multiple stakeholders on each of the critical success factors

Extending the IS-Impact model into the higher education sector

The study addresses known limitations of what may be the most important dependent variable in Information Systems (IS) research; IS-Success or IS-Impact. The study is expected to force a deeper understanding of the broad notions of IS success and impact. The aims of the research are to: (1) enhance the robustness and minimize limitations of the IS-Impact model, and (2) introduce and operationalise a more rigorously validated IS Impact measurement model to Universities, as a reliable model for evaluating different Administrative Systems. In extending and further generalizing the IS-Impact model, the study will address contemporary validation issues

Enterprise resource planning in construction: An evaluation of recent implementations

In a large number of construction firms, Enterprise Resource Planning (ERP) systems have replaced non-integrated information systems by integrated and maintainable software. The implementation of ERP systems in the construction industry is a difficult task. So far, ERP implementations have yielded more failures than successes in this industry. Our study tries to understand the underlying factors that cause success or failure of ERP in construction by analysing how ERP fits into the IT and business strategy of a firm. Empirical research was conducted by a multiple case study of three ERP-implementations in different business environments. Based on the results of this study, propositions are developed that relate factors for the success of ERP in construction to concepts of the existing literature on IT and strategy. These propositions are indicative, but present nevertheless a clear overall tren

Challenges and influential factors in ERP adoption and implementation

The adoption and implementation of Enterprise Resource Planning (ERP) systems is a challenging and expensive task that not only requires rigorous efforts but also demands to have a detailed analysis of such factors that are critical to the adoption or implementation of ERP systems. Many efforts have been made to identify such influential factors for ERP; however, they are not filtered comprehensively in terms of the different perspectives. This paper focuses on the ERP critical success factors from five different perspectives such as: stakeholders; process; technology; organisation; and project. Results from the literature review are presented and 19 such factors are identified that are imperative for a successful ERP implementation, which are listed in order of their importance. Considering these factors can realize several benefits such as reducing costs and saving time or extra effort

The fundamental challenge: human and organisational factors in an ERP implementation

Organisations encounter obstacles when implementing ERP systems. This paper intends to explore some of the problems that occur throughout the implementation of an ERP system. Using a combination of the work of Markus et al (2001) and Kim et al (2005), a framework is constructed of Human and Organisational and Technical problems in ERP Implementations during the project phase. Drawing on empirical evidences from a UK furniture manufacturer, this study then discusses and analyses each problem identified in the framework and its affect on the implementation of their ERP system. The findings of this paper reveal that the fundamental challenge of ERP implementation is not technology but organisational and human problems, which, if not properly comprehended and addressed, can lead to ERP failure. Understanding that organisational and human issues are extremely important will encourage practitioners to address these problems and succeed in their ERP system implementations

Costs, Benefits and Value Distribution – Ingredients for Successful Cross-Organizational ES Business Cases

This paper introduces my PhD research project on developing guidelines for creating successful business cases for Enterprise System implementations in network settings. Three important aspects that were found to be important in such business cases are: the costs, benefits and the value distribution within a network. Each of the three aspects is addressed in this paper and the relationships between them are pointed out. A research model is presented showing how all three aspects contribute to the main goal of defining successful business case guidelines

An ES process framework for understanding the strategic decision making process of ES implementations

Enterprise systems (ES) implementations are regarded costly, time and resource consuming and have a great impact on the organization in terms of the risks they involve and the opportunities they provide. The steering committee (SC) represents the group of individuals who is responsible for making strategic decisions throughout the ES implementation lifecycle. It is evident from recent studies that there is a relationship between the decision making process and ES implementation success. One of the key elements that contribute to the success of ES implementations is a quick decision making process (Brown and Vessey, 1999; Gupta, 2000; Parr, et al., 1999). This study addresses the strategic decision-making process by SC through its focus on four research questions (1) How can the strategic decision-making process in the implementation of ES be better understood, during each phase of the ES implementation lifecycle? (2) What is the process by which the SC makes strategic decisions? (3) How are fast decisions made? and (4) How does decision speed link to the success of ES implementation? Process models of ES implementation will provide a framework to investigate the strategic decision making process during each phases of the ES implementation lifecycle. Patterns in the decision making process will be explored using strategic choice models. This study develops a research model that focuses on the decision making process by steering committee to explore research questions. It concludes with identifying contributions to both IS research and business practitioners