Collaborative Business Process Management - A Literature-based Analysis of Methods for Supporting Model Understandability

Due to the growing amount of cooperative business scenarios, collaborative Business Process Management (cBPM) has emerged. The increased number of stakeholders with minor expertise in process modeling leads to a high relevance of model understandability in cBPM contexts. Despite extensive works in the research fields of cBPM and model understandability in BPM, there is no analysis and comprehensive overview of methods supporting process model understandability in cBPM scenarios. To address this research gap, this paper presents the results of a literature review. The paper identifies concepts for supporting model understandability in BPM, provides an overview of methods implementing these concepts, and discusses the methods’ applicability in cBPM. The four concepts process model transformation, process model visualization, process model description, and modeling support are introduced. Subsequently, 69 methods are classified and discussed in the context of cBPM. Results contribute to revealing existing academic voids and can guide practitioners in cBPM scenarios

The Structured Process Modeling Theory (SPMT): a cognitive view on why and how modelers benefit from structuring the process of process modeling

After observing various inexperienced modelers constructing a business process model based on the same textual case description, it was noted that great differences existed in the quality of the produced models. The impression arose that certain quality issues originated from cognitive failures during the modeling process. Therefore, we developed an explanatory theory that describes the cognitive mechanisms that affect effectiveness and efficiency of process model construction: the Structured Process Modeling Theory (SPMT). This theory states that modeling accuracy and speed are higher when the modeler adopts an (i) individually fitting (ii) structured (iii) serialized process modeling approach. The SPMT is evaluated against six theory quality criteria

Use Your Data: Design and Evaluation of a Card-Based Ideation Tool for Data-Driven Services

Using data can significantly improve service design and development. However, for businesses, developing data-driven services can be challenging. To address this, we have developed the Data Service Cards (DSCs), a card-based tool to inspire the design of data-driven services. This paper presents two cycles of a design science research (DSR) project, focusing on the second cycle of redesign and evaluation of the DSCs. We conducted a two-step evaluation, including surveys and external expert ratings of data-driven service ideas. Survey results indicate that the DSCs are a valuable tool for developing data-driven services and external experts consider services designed using DSCs to be of higher quality. With the DSCs, we provide practitioners with a tool that facilitates and improves service design and supports digital transformation. Further, we contribute to DSR literature with a rigorous experimental procedure and to service innovation by supporting the early stages of data-driven service innovation

The New Era of Business Intelligence Applications: Buildingfrom a Collaborative Point of View

Collaborative business intelligence (BI) iswidely embraced by enterprises as a way of making themost of their business processes. However, decision mak-ers usually work in isolation without the knowledge or thetime needed to obtain and analyze all the available infor-mation for making decisions. Unfortunately, collaborativeBI is currently based on exchanging e-mails and documentsbetween participants. As a result, information may be lost,participants may become disoriented, and the decision-making task may not yield the needed results. The authorspropose a modeling language aimed at modeling andeliciting the goals and information needs of participants ofcollaborative BI systems. This approach is based on inno-vative methods to elicit and model collaborative systemsand BI requirements. A controlled experiment was per-formed to validate this language, assessing its under-standability, scalability, efficiency, and user satisfaction byanalyzing two collaborative BI systems. By using theframework proposed in this work, clear guideless can beprovided regarding: (1) collaborative tasks, (2) their par-ticipants, and (3) the information to be shared among them.By using the approach to design collaborative BI systems,practitioners may easily trace every element needed in thedecision processes, avoiding the loss of information andfacilitating the collaboration of the stakeholders of suchprocesses

Assessing the effectiveness of goal-oriented modeling languages: A family of experiments

[EN] Context Several goal-oriented languages focus on modeling stakeholders' objectives, interests or wishes. However, these languages can be used for various purposes (e.g., exploring system solutions or evaluating alternatives), and there are few guidelines on how to use these models downstream to the software requirements and design artifacts. Moreover, little attention has been paid to the empirical evaluation of this kind of languages. In a previous work, we proposed value@GRL as a specialization of the Goal Requirements Language (GRL) to specify stakeholders' goals when dealing with early requirements in the context of incremental software development. Objective: This paper compares the value@GRL language with the i* language, with respect to the quality of goal models, the participants' modeling time and productivity when creating the models, and their perceptions regarding ease of use and usefulness. Method: A family of experiments was carried out with 184 students and practitioners in which the participants were asked to specify a goal model using each of the languages. The participants also filled in a questionnaire that allowed us to assess their perceptions. Results: The results of the individual experiments and the meta-analysis indicate that the quality of goal models obtained with value@GRL is higher than that of i*, but that the participants required less time to create the goal models when using i*. The results also show that the participants perceived value@GRL to be easier to use and more useful than i* in at least two experiments of the family. Conclusions: value@GRL makes it possible to obtain goal models with good quality when compared to i*, which is one of the most frequently used goal-oriented modeling languages. It can, therefore, be considered as a promising emerging approach in this area. Several insights emerged from the study and opportunities for improving both languages are outlined.This work was supported by the Spanish Ministry of Science, Innovation and Universities (Adapt@Cloud project, grant number TIN2017-84550-R) and the Programa de Ayudas de Investigación y Desarrollo (PAID-01-17) from the Universitat Politècnica de València.Abrahao Gonzales, SM.; Insfran, E.; González-Ladrón-De-Guevara, F.; Fernández-Diego, M.; Cano-Genoves, C.; Pereira De Oliveira, R. (2019). Assessing the effectiveness of goal-oriented modeling languages: A family of experiments. Information and Software Technology. 116:1-24. https://doi.org/10.1016/j.infsof.2019.08.003S12411

Development of a Framework for Managing the Industry 4.0 Equipment Procurement Process for the Irish Life Sciences Sector

Industry 4.0 (I4.0) brings unprecedented opportunities for Manufacturing Corporations poised to implement Digital Business models; DigitALIZAtion. Industry Standards have been developed for the core technologies of the I4.0 Digital Supply Chains. Manufacturing equipment must now be procured to integrate seamlessly at any point in these novel supply chains. The aim of this study is to determine if an I4.0 Equipment Procurement Process (I4.0-EPP) can be developed which reduces the risk of equipment integration issues. It asks; Can the form of the equipment be specified, so that it correctly fits into the I4.0 Digital Supply Chain, to facilitate the desired I4.0 Digital Business function? An Agile Development Methodology was utilized to design the I4.0-EPP techniques and tools, for use by Technical and Business Users. Significant knowledge gaps were identified during User Acceptance Testing (UAT) by Technical Practitioners, over four equipment procurement case studies. Several iterations of UAT by MEng students, highlighted the requirement for Requirements Guides and specialized workbooks. These additional tools increased the understandability of the technical topics to an acceptable level and delivered very accurate results across a wide spectrum of users. This research demonstrates that techniques and tools can be developed for an I4.0-EPP which are accurate, feasible and viable, but, as with Six Sigma, will only become desirable, when mandated by Corporate Business Leaders. Future research should focus on implementing the ALIZA Matrix with Corporate Practitioners in the Business Domain. This approach will bring the ALIZA techniques and tools, developed during this study, to the attention of Corporate Business Leaders with the authority to sponsor them