A systematic mapping study of process mining

This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced ‘discovery’ (71%) as the main type of process mining addressed and ‘categorical prediction’ (25%) as the main mining task solved. The most applied traditional technique is the ‘graph structure-based’ ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are ‘evolutionary computation’ (9%) and ‘decision tree’ (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.     

How field-level institutions become a part of organizations: A study of enterprise architecture as a tool for institutional change

Heeding recent calls for more studies on micro-practices and institutional change, this study reports a collaborative case study to elucidate the micro-practices and legitimating strategies that make field-level institutions a part of organizations. Building on institutional theories and using Enterprise Architecture (EA) as an example of field-level institutions, the study explores how two distinct organizations adopted EA, the impediments they experienced, and the strategies used to make EA an acceptable part of organizations. The findings suggest three change mechanisms that enact field-level institutions in organizations: the creation of shared spaces for knowledge exchange between organization members, the importance of role shifting within shared spaces to effectively engage with other organization members, and the need for lexical shifts in communication to better resonate with users. The findings deepen our understanding of institutional elements that impede change, as well as the legitimating strategies that enact field-level institutions.     

Value stream mapping in project management: A case study

This article describes the application of value stream mapping to analyze and redesign the way of managing the materials procurement stage of a project. A framework based on integrated definition (IDEF) methodology, the stream analysis approach, activity‐based costing, and discrete event simulation is presented. The stream analysis approach is used to analyze, diagnose, and manage process changes represented using an IDEF model. A dynamic simulation is used to evaluate the impact of the changes considered, to support the analysis of the process, and to model the performance of the proposed process. The overall methodology is demonstrated by applying it to a company whose core business is the design and construction of offshore oil rigs. The company specializes in engineering, procurement, and construction projects and has an annual portfolio of about six projects. Many of these projects have common features in terms of design and components, and they are all also characterized by a short “time to delivery.” For this reason, this study was aimed at assessing the possible effects that the application of new materials management policies could have on reducing both project completion time and the resources required.     

A systematic approach to prioritizing R&D projects based on customer-perceived value using opinion mining

As product development has recently emphasized user innovation, it should necessarily reflect customer-perceived value, as well as technological value itself. However, while previous studies for technology planning have focused on analyzing the potential of technology, they have not considered the customer-perceived value that technology can create in a new product. Therefore, this research suggests a new approach to assessing the level of technology and evaluating R&D projects, by investigating customer-perceived value on technology through the use of the structural equation model and opinion mining. For this, the assessment framework is developed in terms of technology, product quality, and customer satisfaction, respectively, by investigating a variety of databases on each factor. The relationship between technology level and customer satisfaction is analyzed, using structural equation model and opinion mining. Based on the results, a strategy for technology development is established through gap analysis and simulation, after selecting and evaluating technologies that need to be developed. The proposed approach is applied to the real case of a moving system, in particular an automobile door, and we obtained that an R&D project for hinge-related technology would be promising, enhancing the customer satisfaction. It can suggest a future direction for new technology development. This paper contributes to enhancing the efficiency of technology planning based on the customer-perceived value, enabling the launch of new R&D projects.