The BPMDS series has produced 11 workshops from 1998 to 2010. Nine of these workshops were held in conjunction with CAiSE conferences. From 2011, BPMDS has become a two-day working conference attached to CAiSE (Conference on Advanced Information Systems Engineering). The topics addressed by the BPMDS series are focused on IT support for business processes. This is one of the keystones of information systems theory. The goals, format, and history of BPMDS can be found on the Web site http://www.bpmds.org/.

1 Scope

This special section follows the 16th edition of the BPMDS (business process modeling, development, and support) series, organized in conjunction with CAISE’15, which was held in Stockholm, Sweden, June 2015. BPMDS’2015 received 42 submissions from 25 countries, and 17 papers were selected and published in Springer LNBIP 214 volume.

The theme of BPMDS’2015: “Enabling value creation via business process modeling, development and support” is part of a broader discussion on the value contribution of IT [1]. In the literature, different factors enabling value creation from IT have been identified: appropriate use [2], strategic fit [3], IT assets [1], and IS processes [4]. Following the definition of [5], business process modeling design and support create value by exploiting opportunities and/or neutralizing threats in a firm’s environment.

Value can be created in different areas of enterprises [6]. Value can be defined as the benefit a customer or supplier receives from a product or service. More and more business operators focus on value creation both in the context of creating better value for customers purchasing its products and services and for shareholders in the business who want to see their stake appreciate in value.

Digitization [7] creates disruption in economy and society, and value creation is more critical than ever. Business process owners and senior IT leaders should make value creation explicit to maximize opportunities, minimize threats from digital business disruption, and better meet customer demands.

Increasingly, producer and consumer interoperate in order to co-produce [8,9,10]. This breaks with the tayloristic [11] aim to separate the consumer from production in order to concentrate production and achieve higher economies of scale only for the producer.

Value creation and BPMDS may potentially influence one another in multiple ways. More than two decades after Hammer and Champy [12] made the explicit link between business processes and value, this relationship is still unclear [13]. Companies seem to be more interested in capturing value from customers than in delivering value to them. Very often, the main reason for a company to have a business process in place that delivers value to a customer is to capture a revenue stream that is indispensable for the company’s survival.

BPMDS may interact with value creation either in its entirety or by single disciplines. Value creation may be fostered by new approaches of process modeling, e.g., [14], new process designs [15] or new architectures for business process support [16].

This special section is targeted at both researchers and practitioners in the information systems community with a focus on “Enabling value creation via business process modeling, development and support”. The six papers in this special section reflect this focus. They are extensively revised and extended versions of research papers that were initially presented at the BPMDS’2015 working conference and passed again a blind review for the special section.

2 Six selected papers for this special section

The first paper by R. Seiger, S. Huber and T. Schlegel, “Toward an execution system for self-healing workflows in cyber-physical systems,” presents an integrated system for process execution in cyber-physical systems (CPS). The execution of processes in CPS poses new challenges that cannot be completely handled by current workflow engines. The data-centric and event-driven nature of CPS resulting from the combination of various low-level sensors, actuators, things, and software components requires process execution systems that are able to integrate a heterogeneous set of resources on an active and reactive basis. For CPS, there is a need to handle the dynamics of resource-constraint, loosely coupled devices as well as to support user interactions.

The second paper by T. Baier, C. Di Ciccio, J. Mendling, and M. Weske, “Matching events and activities by integrating behavioral aspects and label analysis,” observes that event data, produced by IT services during the execution of a business process, can be used to analyze the process using process mining techniques to discover the real process, measure conformance to a given process model, or to enhance existing models with performance information. The paper presented means to help the analyst to identify the mapping between a process model and events in an event log in a semi-automated fashion. Defining such a mapping is generally hard to do manually due to its combinatorial complexity. The approach presented leverages insights from behavioral constraints and linguistic analysis to overcome this complexity.

The third paper by S. Leemans, D. Fahland, and W.M.P. van der Aalst, “Scalable process discovery and conformance checking,” focuses on two process mining challenges: process discovery and conformance checking. Considerable amounts of data, including process events, are collected and stored by organizations. Authors target techniques to handle billions of events or thousands of activities, to produce sound models, and to guarantee that the underlying process can be rediscovered when sufficient information is available. The paper introduces a framework for process discovery that ensures these properties while passing over the log only once and introduce three algorithms using the framework.

The fourth paper by A. Burattin, V. Bernstein, M. Neurauter, P. Soffer, and B. Weber, “Detection and quantification of flow consistency in business process models,” aims to empirically identify key visual features of business process models which are perceived as meaningful to the user and to show how such features can be quantified into computational metrics, which are applicable to business process models. Authors focus on one particular feature, consistency of flow direction, and show the challenges that arise when transforming it into a precise metric.

The fifth paper by C. Haisjackl, P. Soffer, S.Y. Lim, and B. Weber, “How do humans inspect BPMN models: an exploratory study,” advocates that we do not have an in-depth understanding of how process models are inspected by humans, what strategies are taken, what challenges arise, and what cognitive processes are involved. The paper contributes toward such an understanding and reports an exploratory study highlighting how humans identify and classify quality issues in BPMN process models. It investigates the strategies taken by humans when inspecting a process model, the kinds of challenges that appear during this process, and different manners in which classification is addressed.

The sixth paper by S. Schönig, C. Cabanillas, C. Di Ciccio, S. Jablonski, and J. Mendling, “Mining team compositions for collaborative work in business processes,” presents a process mining framework to discover team attributes and composition patterns of collaborative activities in business processes. The approach builds upon a declarative process mining approach focusing on the process resource perspective that has been extended toward the integration of collaborative activities. The described approach first extracts the different teams participating in a collaborative activity from an event log and then discovers the overall characteristics of the team members in terms of skills, organizational roles, etc., that are present in these teams.