scholarly journals No Longer Out of Sight, No Longer Out of Mind? How Organizations Engage with Process Mining-Induced Transparency to Achieve Increased Process Awareness

Author(s):  
Julia Eggers ◽  
Andreas Hein ◽  
Markus Böhm ◽  
Helmut Krcmar

AbstractIn recent years, process mining has emerged as the leading big data technology for business process analysis. By extracting knowledge from event logs in information systems, process mining provides unprecedented transparency of business processes while being independent of the source system. However, despite its practical relevance, there is still a limited understanding of how organizations act upon the pervasive transparency created by process mining and how they leverage it to benefit from increased process awareness. Addressing this gap, this study conducts a multiple case study to explore how four organizations achieved increased process awareness by using process mining. Drawing on data from 24 semi-structured interviews and archival sources, this study reveals seven sociotechnical mechanisms based on process mining that enable organizations to create either standardized or shared awareness of sub-processes, end-to-end processes, and the firm’s process landscape. Thereby, this study contributes to research on business process management by revealing how process mining facilitates mechanisms that serve as a new, data-driven way of creating process awareness. In addition, the findings indicate that these mechanisms are influenced by the governance approach chosen to conduct process mining, i.e., a top-down or bottom-up driven implementation approach. Last, this study also points to the importance of balancing the social complications of increased process transparency and awareness. These results serve as a valuable starting point for practitioners to reflect on measures to increase organizational process awareness through process mining.

2019 ◽  
Vol 9 (16) ◽  
pp. 3313 ◽  
Author(s):  
Wu ◽  
He ◽  
Wang ◽  
Wen ◽  
Yu

To improve the service quality of complaint handling service in a manufacturing company, it is key to analyze the business processes. Process mining is quite a useful approach to diagnose complaint handling service process problems, such as bottlenecks and deviations. However, the current business process analysis methodologies based on process mining mainly focus on operational process analysis and neglect other system level analysis. In this study, we introduce the method of Accimap from the discipline of accident analysis to analyze the diagnosis results of process mining. By creating a complaint handling service process management Accimap model, the process mining results analysis can be carried out across different system levels. A case study in a big manufacturing company in China is implemented to verify our approach. In the case study, 42 complaint handling process management factors are identified and the complaint handling process management Accimap model is created. The testing results by Rasmussen’s seven predictions in his risk management framework show that Accimap method presents a systematic approach to analyze the process diagnosis results based on process mining.


2019 ◽  
Vol 4 (2) ◽  
pp. 202
Author(s):  
Uli Mahendra Kurniawan ◽  
Ismiarta Aknuranda ◽  
Tri Astoto Kurniawan

The target indicators for the success of training conducted by the XYZ institution in 2018 are achieved in un-ideal conditions. The target of the average Competency Gap Index (CGI) value is achieved by reducing the measurement parameters of the work competency standard (SKK). This condition is a fact that the success of the training in the XYZ institution still lacks in its achievements. Based on the explanation of the problem, this study will apply the concept of Business Process Management (BPM) to conduct an analysis of the business process of conducting training in the XYZ institution to identify the possible problems that occur in the business process. This study aims to analyze and modeling the current business process of training program (as-is). The research methodology uses literature studies and data collection from interviews, observations, and supporting documents. The results of this study are proposed business processes (to-be) which are recommendations for improvement in current business processes (as-is). The business process is modeled used the standard modeling of Business Process and Notation (BPMN) version 2.0.


Author(s):  
O. Pavlenko ◽  
I. Maksymenko ◽  
Ie. Lapin ◽  
V. Kasianenko

Nowadays, the search for the effective tools in a sphere of personnel management are still on, and these issues is crucial especially for the Ukrainian enterprises. The article is aimed to analyze the effectiveness of staff as an element of the business-processes system of an enterprise. Among all the approaches the authors put their attention to evolutional and revolutional approaches to reengineering of the business-processes, and the key role of the personnel in these processes. Particular attention was given to the identification of personnel management essence in terms of business-process management, the pathways of optimizations of the business-processes, .and the main problems of HR-management that can be identified under the audit process. The case methodology was used to reveal the best practices in the improvement of HR-management system. Keywords: personnel, business process, analysis, enterprise, management.


Author(s):  
Ishak H. A. Meddah ◽  
Khaled Belkadi

Process mining provides an important bridge between data mining and business process analysis. This technique allows for the extraction of information from event logs. In general, there are two steps in process mining: correlation definition or discovery and then process inference or composition. Firstly, the authors mine small patterns from log traces of two applications; those patterns are the representation of the execution traces of a business process. In this step, the authors use existing techniques. The patterns are represented by finite state automaton or their regular expression. The final model is the combination of only two types of small patterns that are represented by the regular expressions (ab)* and (ab*c)*. Secondly, the authors compute these patterns in parallel and then combine those small patterns using the composition rules. They have two parties. The first is the mine, where the authors discover patterns from execution traces, and the second is the combination of these small patterns. The pattern mining and the composition is illustrated by the automaton existing techniques.


Author(s):  
Olga Levina

Design of Decision Service Using Cause-and-Effect Business Process AnalysisBusiness processes are executed according to a specific business logic that can be formulated as business rules. Often decisions are taken during the course of the process to fulfill conditions or exceptions leading to process variations. These decisions are meant to support business process operations and are composed of a set of business rules, additionally being based on a solid process relevant knowledge and know-how. These processes are here referred to as decision knowledge intensive processes. In this paper the question of how business rules and consequently operational decisions can be derived from the business process model is addressed. The therefore necessary business process analysis and decision identification are performed using the cause-and-effect approach. Service-oriented implementation of the found decisions is suggested and outlined.


Author(s):  
Wei Zhou ◽  
Yixuan Zhou ◽  
Jinwu Yang ◽  
Shaowen Yao

BPM (Business Process Management) includes support for business process analysis, design, implementation, management methods, techniques, and tools. This chapter introduces the origin of BPM technology and development, covering four fields: Business Process Management benefits, the history of BPM, classification of Business process, the lifecycle of BPM, and Business Process Modeling Techniques. In addition, the authors also determine that the present workflow technology is not enough to exist in the root causes of some deficiencies; concluding the chapter with the future of workflow technology trends.


Author(s):  
Sergejs Kodors ◽  
Vitaliy Zhukov ◽  
Imants Zarembo ◽  
Lienite Litavniece ◽  
Jelena Lonska ◽  
...  

A system simulation is a one of the approaches to understand business processes or to explain them to other people. It is an excellent decision making solution to provide data-driven conclusions based on system modelling and experiments. This paper proposes simulation results of a school canteen. The aim of the research was to investigate the relation between a food waste amount and meal time duration. The proposed simulation was based on business process analysis, business process modelling, a Monte Carlo method and expert knowledge. The frequency distributions were constructed based on children meal duration observation completed by their mothers. It is a magnificent citizen science solution to involve mothers in the research because they can additionally better understand their children meal preferences and habits. Therefore, a questionnaire for citizens was developed, which can be applied to collect statistical data for model accuracy improvement and extension.


2021 ◽  
Vol 28 (1) ◽  
pp. 47-62
Author(s):  
Carina Alves ◽  
Higor Monteiro

Ambidextrous BPM has gained increasing interest from researchers and practitioners in the last years. It refers to the ability to use exploitative and explorative capabilities in BPM projects. In this paper, we investigate how the integration of exploitative and explorative ideas can leverage the analysis of business processes. The key contributions of this paper are a conceptual model and a method that integrate ambidextrous thinking in a complementary way. Both artefacts were evaluated by means of an expert opinion survey. We also present a case study at an organisation that has implemented our proposed method. We believe that ambidextrous analysis of business processes enables organisations tackling current operational bottlenecks while simultaneously exploring external opportunities for designing innovation in business processes.


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