A Comparison of Erp-Success Measurement Approaches

Kronbichler, Stephan A.; Ostermann, Herwig; Staudinger, Roland

doi:10.4301/s1807-17752010000200003

Cited by 22 publications

(12 citation statements)

References 26 publications

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“…The model is also widely accepted, as from 1999 to 2002, the original model has already been refereed in at least 285 papers. According to contemporary articles, the DeLone and McLean IS Success Model seems to remain the most popular, comprehensive framework for IS success measurement (Kronbichler et al, 2010). Various reasons like simplicity and acceptability are supporting this model.…”

Section: Discussionmentioning

confidence: 99%

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Measurement of ERP-project success: findings from Germany and Austria

Gollner

Baumane-Vītoliņa

2016

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The implementations of Enterprise Resource Planning (ERP) systems have increased rapidly worldwide over the last two decades. ERP projects are long lasting and complex activities, influencing the main internal and external operations of organizations. As companies spend an immense investment on these projects, in the beginning managers are focusing on the most common success factors to reach the main goal of a proper implementation. For evaluating ERP projects in retrospective, an applicable measurement of the whole implementation and its economic effects is essential. This research paper evaluates the most prominent ERP project success models mentioned in scientific literature and gives an overview of the different approaches. It explores the best fitting model for measuring ERP project success and based on that analysis, the authors created a new model using empirical data. The study was performed on a sample of medium-sized companies located in Austria and Germany, which implemented ERP software between 2011 and 2013. Based on a newly developed questionnaire completed by over 300 companies' CEOs, factor analysis of the data shows a reduction of dimensions for ERP project success measurement. It indicates that characteristics of success factors can be summoned up to 5 different dimensions, namely project management, user satisfaction, time and budget, ERP system quality and economic value. The results show that some of the dimensions suggested by other authors are coherent and redundant, and, therefore, an extra measurement of these aspects is misleading. The study is designed to make a contribution to management science literature from the perspective of project management requiring effective success evaluation instruments.

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Section: Discussionmentioning

confidence: 99%

“…Approaches describing success factors of ERP projects are discussed in various economic journals, but will not be discussed in this paper. A previous publication focusing on the measurement of ERP project success by Kronbichler et al (2010) is also giving an overview on different approaches, but is limited to a theoretical review.…”

Section: Introductionmentioning

confidence: 99%

Measurement of ERP-project success: findings from Germany and Austria

Gollner

Baumane-Vītoliņa

2016

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“…Relatively little research has been conducted on the ES-SCM interdependence [2,12,91], although the performance of SCM is well researched [4,8,11,15,24,30,34,43,82,83] as is the performance of ES [1,2,5,22,25,46,57,59,64,71]. To better understand the process of information transfer between ES and SCM, we first describe the structure of an ES using Møller's conceptual framework [54], discuss a few different types of relationships observed between ES and SCM/SCMS and then investigate the need for ES to support SCM.…”

Section: Is Effective Information Transfer Needed From Es For Efficiementioning

confidence: 99%

Building and evaluating ESET: A tool for assessing the support given by an enterprise system to supply chain management

Peiris

Jung

Gallupe

2015

Decision Support Systems

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“…Evaluation of ERP success is a difficult approach; if the result of an ERP System evaluation is utilized as a source for measures for an improvement of the business performance then the results of improvements can be measured through a new assessment of the ERP system performance using a comparison of the outcome of each evaluation. So, the upcoming research will be encouraging to investigate and study the result of an ERP system in a poor dimension (in sequence quality flexibility of accessing system, reduces quality and maintenance costs, improve resource utilization) where improvements should be made [8] An ERP implementation success has the advantages of reducing the cost, reducing the time of the process and quality of the product [9]. It gives the benefits to its customers on purchase required goods or products at cheaper price and shares the information of production status in real time [10].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Business Performance of An Erp Systems in Automotive Ancillary Industries-Balanced Scorecard Perspective

Lakshmanan¹,

Christopher²,

Kinslin³

2018

IJET

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This study aims to analyze the business performance of Enterprise Resource Planning (ERP) system in Automotive Ancillary Industries using four interrelated dimensions of performance measurement framework Balanced Scorecard (BSC); Innovation and Learning, Internal, Customer and Financial perspective. This analysis was carried out based on survey questionnaires with 281 stakeholders who are familiar with ERP system and results were presents as evidence. The analysis result shows that uses of ERP system resulted in a positive in financial performance of the organization, deliver best services to their customer, increases the overall internal performance of the firm increases and enhances firm loyalty and simplify the complex work. Friedman’s ranking analysis and correlation analysis were applied, and detailed analysis was submitted in this study. The results from the survey indicate that integrated software system such as ERP need to be implemented in Automotive Ancillary Industries to improve the business performance in various dimension i.e. Innovation and Learning, Internal, Customer and Financial perspective.

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A Comparison of Erp-Success Measurement Approaches

Cited by 22 publications

References 26 publications

Measurement of ERP-project success: findings from Germany and Austria

Measurement of ERP-project success: findings from Germany and Austria

Building and evaluating ESET: A tool for assessing the support given by an enterprise system to supply chain management

Analyzing the Business Performance of An Erp Systems in Automotive Ancillary Industries-Balanced Scorecard Perspective

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