A model-driven method for the systematic literature review of qualitative empirical research

This paper explores a model-driven method for systematic literature reviews (SLRs), for use where the empirical studies found in the literature search are based on qualitative research. SLRs are an important component of the evidence-based practice (EBP) paradigm, which is receiving increasing attention in information systems (IS) but has not yet been widely-adopted. We illustrate the model-driven approach to SLRs via an example focused on the use of BPMN (Business Process Modelling Notation) in organizations. We discuss in detail the process followed in using the model-driven SLR method, and show how it is based on a hermeneutic cycle of reading and interpreting, in order to develop and refine a model which synthesizes the research findings of previous qualitative studies. This study can serve as an exemplar for other researchers wishing to carry out model-driven SLRs. We conclude with our reflections on the method and some suggestions for further researc

Green BPM as a business-oriented discipline : a systematic mapping study and research agenda

Green Business Process Management (BPM) focuses on the ecological impact of business processes. This article provides a systematic mapping study of Green BPM literature to evaluate five attributes of the Green BPM research area: (1) scope, (2) disciplines, (3) accountability, (4) researchers and (5) quality control. The results allow developing a research agenda to enhance Green BPM as an approach for environmentally sustainable organizations. We rely on a dichotomy of knowledge production to present research directives relevant for both academics and practitioners in order to help close a rigor-relevance gap. The involvement of both communities is crucial for Green BPM to advance as an applied, business-oriented discipline

An Action Research for Improving the Sustainability Assessment Framework Instruments

[Abstract] In the last years, software engineering researchers have defined sustainability as a quality requirement of software, but not enough effort has been devoted to develop new methods/techniques to support the analysis and assessment of software sustainability. In this study, we present the Sustainability Assessment Framework (SAF) that consists of two instruments: the software sustainability–quality model, and the architectural decision map. Then, we use participatory and technical action research in close collaboration with the software industry to validate the SAF regarding its applicability in specific cases. The unit of analysis of our study is a family of software products (Geographic Information System- and Mobile-based Workforce Management Systems) that aim to address sustainability goals (e.g., efficient collection of dead animals to mitigate social and environmental sustainability risks). The results show that the sustainability–quality model integrated with the architectural decision maps can be used to identify sustainability–quality requirements as design concerns because most of its quality attributes (QAs) have been either addressed in the software project or acknowledged as relevant (i.e., creating awareness on the relevance of the multidimensional sustainability nature of certain QAs). Moreover, the action–research method has been helpful to enrich the sustainability–quality model, by identifying missing QAs (e.g., regulation compliance, data privacy). Finally, the architectural decision maps have been found as useful to guide software architects/designers in their decision-making process.This work has received partial support by Xunta de Galicia/FEDER-UE CSI (ED431G/01, ED431C 2017/58); Xunta de Galicia/FEDER-UE, ConectaPeme, GEMA (IN852A 2018/14); MINECO-AEI/FEDER-UE with the projects: Datos 4.0 (TIN2016-78011-C4-1-R), BIZDEVOPS (RTI2018-098309-B-C32), FLATCITY (TIN2016-77158-C4-3-R.); and FONDECYT with the Kusisqa project (014-2019-FONDECYTBM-INC.INV)Xunta de Galicia; ED431G/01Xunta de Galicia; ED431C 2017/58Xunta de Galicia; IN852A 2018/14Gobierno de Chile; 014-2019-FONDECYTBM-INC.IN

A Model-Driven Method for the Systematic Literature Review of Qualitative Empirical Research

This paper explores a new model-driven method for systematic literature reviews (SLRs), for use where the empirical studies found in the literature search are based on qualitative research. SLRs are an important component of the evidence-based practice (EBP) paradigm, which is receiving increasing attention in information systems (IS) but has not yet been widely-adopted. We illustrate the model-driven approach to SLRs via an example focused on the use of BPMN (Business Process Modelling Notation) in organizations. We discuss in detail the process followed in using the model-driven SLR method, and show how it is based on a hermeneutic cycle of reading and interpreting, in order to develop and refine a model which synthesizes the research findings of qualitative studies. This study can serve as an exemplar for other researchers wishing to carry out model-driven SLRs. We conclude with our reflections on the method and some suggestions for further research

Relevant Research Areas in IT Service Management: An Examination of Academic and Practitioner Literatures

Practitioners and academics alike have highlighted that information systems (IS) research may currently have limited use and value to practitioners. Further, research provides examples of positive links between management practices prevalent in the media and their influence on societal views. We focus on increasing relevance of future academic research to practitioners by identifying sources of misalignment between practitioner and academic literatures on the topic of information technology service management (ITSM) and by developing a possible research agenda to address these misalignments. We employ an entity annotator and keyword analysis to compare the main topics evident in academic and practitioner literatures on ITSM and focus on those salient in practitioner literature. Our results suggest that the topics of framework co-implementation, regulations, ITSM tools, gamification, and cloud computing all present fertile grounds for relevant research in ITSM and IS more broadly. Thus, our paper offers a unique way for academics to understand how they can best assist practitioners while increasing the relevance of academic research

How to Steer the IT Outsourcing Provider - Development and Validation of a Reference Framework of IT Outsourcing Steering Processes

IT executives entering into information technology (IT) outsourcing arrangements seek various strategic, economic, and technological benefits. However, although several cases of IT outsourcing are considered successful, cases of failure can also be observed. Problems and challenges associated with IT outsourcing often not only relate to the strategic decision whether or not to outsource, but to the operational level as well. Especially organizations with little experience of implementing larger IT outsourcing programs face problems with the steering of external outsourcing providers. In this paper, we propose a reference framework that structures the required processes for an effective steering of IT outsourcing relationships. The research is based on the design science paradigm in information systems research. In a first step, we derive a framework from related literature and knowledge in this particular area. We then undertake extensive fieldwork, including expert interviews and field studies to evaluate our framework and to develop it further. The suggested framework proves to be a viable instrument to support the systematic analysis of current processes and the definition of suitable target processes for the steering of IT outsourcing programs. This paper’s primary contribution therefore lies in providing an applicable instrument for practitioners as well as in extending the existing body of knowledge on IT outsourcing governance

Building Stronger Bridges: Strategies for Improving Communication and Collaboration Between Industry and Academia in Software Engineering

Background: The software engineering community has expressed growing concern regarding the need for more connections between research and practice. Despite the large amount of knowledge researchers generate, its impact on real-world practice is uncertain. Meanwhile, practitioners in industry often struggle to access and utilize relevant research outcomes that could inform and enhance their work. Collaboration between industry and academia is seen as a potential solution to bridge this gap, ensuring that research remains relevant and applicable in real-world contexts.Objective: This research aims to explore challenges in communication and collaboration between industry and to design, evaluate, and implement strategies that foster this collaboration. Methodology: The design science paradigm inspires this research, as we aim to obtain knowledge about industry-academia communication and collaboration by studying challenges and solutions in context. The thesis includes case studies; some are exploratory, while others focus on evaluating specific strategies.Results: In terms of problem understanding, we identified challenges that impact communication and collaboration, such as different expectations, perspectives, and ways of working. Furthermore, we pinpointed factors facilitating communication, including long-term projects, research relevance, and practitioners' involvement.Regarding how to improve communication and collaboration, we investigated two strategies. The first strategy involves using the SERP-taxonomy approach in a project on software vulnerability management in IoT systems. The second strategy involves the proposal of interactive rapid reviews, conducted in close collaboration with practitioners. We share the lessons from conducting two reviews (one in testing machine learning systems and the other in software component selection). The benefits of conducting interactive rapid reviews include mutual understanding, the development of networks, and increased motivation for further studies.Conclusion: The thesis emphasizes the importance of industry-academia collaboration as a key aspect in closing gaps between research and practice. The strategies discussed provide tools to understand industry-academia partnerships better and support future collaborations