Business Process Management and the Need for Measurements - including an empirical study about operating figures

Problem: Since business process management (BPM) is a very spacious concept, it is influenced from many other concepts, standards and methods that determine its constancy. Companies are asked to restructure their organisation in order to meet internal and external customer demands. The term quality comes to the fore. Organisations such as ISO and the EFQM try to certify or assess companies in terms of the course of their qualitative business processes but do not provide them with helpful implementation tools. One task will be to look at these approaches in a critical perspective in order to assess them with regard to BPM. Further, a company’s performance has to be assessed not only from a one-dimensional perspective. Hence operating figures have to be derived that cover a multi-dimensional assessment perspective in order to show if they meet internal as well as external customer demands. Thus, another task is to assess existing measurement systems with regard to BPM and to show how companies can control and monitor their business process in a better, more effective way. Purpose: The purpose is seen in a processing and comparison of different management concepts and methods in order to present an embracing picture within the area of BPM. The need for measurements will be emphasized, existing performance measurement systems towards BPM analysed and the concept of process controlling presented. In the end a rather practical guideline for the derivation of operating figures will be conceived to overcome acceptance problems SME might have. Several strategic and organisational related hypotheses in the field of operating figures will be investigated that support this approach. The evaluation takes place on the basis of empirical findings within a study of SME but also with help of existing theories. Methodology: This research is based on a combination of the systems and actors approach supplied with quantitative as well as qualitative data, which is collected in form of a questionnaire and via participation on a workshop within the so-called be.st (benchmarking for sustainability) project. This master thesis is conducted as an abductive study. As a consequence, reliability and validity are provided. Conclusions: References and adaptabilities of existing management approaches and measurement systems are pointed out. The further focus lies in an efficient and effective monitoring of business processes in the sense of BPM. On the hypotheses it is dwelled on, most notably on the re-use of operating figures and the most effective derivation method for operating figures- the top-down approach. The role of the management comes hereby to the fore. Findings of the empirical study are presented as well, in relation to the theory. A practical guideline for the derivation and re-use of operating figures and an embracing picture of BPM, its related areas and investigated companies is conceived in the end

VR-PMS: a new approach for performance measurement and management of industrial systems

A new performance measurement and management framework based on value and risk is proposed. The proposed framework is applied to the modelling and evaluation of the a priori performance evaluation of manufacturing processes and to deciding on their alternatives. For this reason, it consistently integrates concepts relevant to objectives, activity, and risk in a single framework comprising a conceptual value/risk model, and it conceptualises the idea of value- and risk based performance management in a process context. In addition, a methodological framework is developed to provide guidelines for the decision-makers or performance evaluators of the processes. To facilitate the performance measurement and management process, this latter framework is organized in four phases: context establishment, performance modelling, performance assessment, and decision-making. Each phase of the framework is then instrumented with state of-the-art quantitative analysis tools and methods. For process design and evaluation, the deliverable of the value- and risk-based performance measurement and management system (VR-PMS) is a set of ranked solutions (i.e. alternative business processes) evaluated against the developed value and risk indicators. The proposed VR-PMS is illustrated with a case study from discrete parts manufacturing but is indeed applicable to a wide range of processes or systems

Sustainability experiments in the agri-food system : uncovering the factors of new governance and collaboration success

In recent years, research, society and industry recognize the need to transform the agri-food system towards sustainability. Within this process, sustainability experiments play a crucial role in transforming the structure, culture and practices. In literature, much attention is given to new business models, even if the transformation of conventional firms toward sustainability may offer opportunities to accelerate the transformation. Further acceleration could be achieved through collaboration of multiple actors across the agri-food system, but this calls for a systems approach. Therefore, we developed and applied a new sustainability experiment systems approach (SESA) consisting of an analytical framework that allows a reflective evaluation and cross-case analysis of multi-actor governance networks based on business and learning evaluation criteria. We performed a cross-case analysis of four agri-food sustainability experiments in Flanders to test and validate SESA. Hereby, the key factors of the success of collaboration and its performance were identified at the beginning of a sustainability experiment. Some of the key factors identified were risk sharing and the drivers to participate. We are convinced that these results may be used as an analytical tool for researchers, a tool to support and design new initiatives for policymakers, and a reflective tool for participating actors

Towards Design Principles for Data-Driven Decision Making: An Action Design Research Project in the Maritime Industry

Data-driven decision making (DDD) refers to organizational decision-making practices that emphasize the use of data and statistical analysis instead of relying on human judgment only. Various empirical studies provide evidence for the value of DDD, both on individual decision maker level and the organizational level. Yet, the path from data to value is not always an easy one and various organizational and psychological factors mediate and moderate the translation of data-driven insights into better decisions and, subsequently, effective business actions. The current body of academic literature on DDD lacks prescriptive knowledge on how to successfully employ DDD in complex organizational settings. Against this background, this paper reports on an action design research study aimed at designing and implementing IT artifacts for DDD at one of the largest ship engine manufacturers in the world. Our main contribution is a set of design principles highlighting, besides decision quality, the importance of model comprehensibility, domain knowledge, and actionability of results