Design Science Research in Information Systems

Hevner, Alan R.; Chatterjee, Samir

doi:10.1007/978-1-4419-5653-8_2

Cited by 1,775 publications

(2,971 citation statements)

References 17 publications

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“…To conduct this research we have followed design science principles as suggested by Hevner et al (2004) and, in particular, we have applied the design science research methodology (DSRM) (Peffers et al 2007) as follows: Problem identification and motivation phase : In this phase, we reviewed both research proposals related to our research question, i.e., responsibility management applied to executable business processes, and how this is currently applied in industry. Table 3 collects those that take into consideration more than one type of responsibility.…”

Section: Motivation and Research Methodsmentioning

confidence: 99%

A template-based approach for responsibility management in executable business processes

Cabanillas

Resinas

Ruiz–Cortés

2017

Enterprise Information Systems

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Process-oriented organisations need to manage the different types of responsibilities their employees may have w.r.t. the activities involved in their business processes. Despite several approaches provide support for responsibility modelling, in current Business Process Management Systems (BPMS) the only responsibility considered at runtime is the one related to performing the work required for activity completion. Others like accountability or consultation must be implemented by manually adding activities in the executable process model, which is time-consuming and error-prone. In this paper, we address this limitation by enabling current BPMS to execute processes in which people with different responsibilities interact to complete the activities. We introduce a metamodel based on Responsibility Assignment Matrices (RAM) to model the responsibility assignment for each activity, and a flexible template-based mechanism that automatically transforms such information into BPMN elements, which can be interpreted and executed by a BPMS. Thus, our approach does not enforce any specific behaviour for the different responsibilities but new templates can be modelled to specify the interaction that best suits the activity requirements. Furthermore, libraries of templates can be created and reused in different processes. We provide a reference implementation and build a library of templates for a well-known set of responsibilities.

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Section: Motivation and Research Methodsmentioning

confidence: 99%

A template-based approach for responsibility management in executable business processes

Cabanillas

Resinas

Ruiz–Cortés

2017

Enterprise Information Systems

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“…In order to develop the proposed EABV assessment approach, we employ an adapted Design Science Research (DSR) methodology proposed for example in [12]. Our DSR artifact build cycle is based on [13,14].…”

Section: Design Science Research and Evaluationmentioning

confidence: 99%

“…Before evaluating our approach, we need to choose the appropriate criteria, e.g. functionality, completeness, consistency, accuracy, performance, reliability, usability, fit with organization, and others more [12]. Generally, these criteria are derived from the artifact objectives [13].…”

Section: Artifact Evaluationmentioning

confidence: 99%

Design Science Evaluation for Enterprise Architecture Business Value Assessments

Meyer

Helfert

2013

BSC 2013

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Abstract. In our research we aim to assess the value contributions of Enterprise Architecture (EA) to an organization that allows a structured and effective way of strategically aligning business with information technology. We have designed and built an Enterprise Business Value Assessment framework within an organizational context following a Design Science Research (DSR) methodology. Our challenge presented in this paper is to evaluate this approach and show how we can effectively determine the relevant criteria and adapt an appropriate evaluation method. Discussing this challenge we propose an evaluation approach using the Measurement and Analysis Infrastructure Diagnostic (MAID) method.

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“…The focus on mutual adaptation suggests, however, the mTAC is particularly well suited to approaches that address the emergent nature of requirements, such as prototyping and agile systems development (Hall 2001;Surendra 2008). The tendency for people to adapt technologies to suit their needs also suggests that technologies should be designed for appropriation by making them more tailorable, malleable and flexible in order to better support technology adaptation (Carroll 2004;Hevner et al 2004;MacLean et al 1990). Furthermore, the insights gained from reflecting on the process of appropriation for a particular user cohort and use context can potentially guide changes to contextual influences, leading to appropriation behaviours that are more productive and persistent.…”

Section: The Technology Appropriation Cyclementioning

confidence: 99%

“…There appears to have been a shift, however, towards giving greater attention to the social and organisational context-including history, work practices, infrastructure, organisational norms and values, information flows and stakeholder perspectives-in recognition that IS projects are an organisational intervention, not just a technical intervention (Farbey et al 1993;Hallikainen and Chen 2006;Huang 2003;Symons 1991). There is also recognition that the process of evaluation plays an important role in supporting the design and development of systems (Hevner et al 2004;Symons 1991).…”

Section: Introductionmentioning

confidence: 99%

Evaluating information systems: an appropriation perspective

Fidock¹,

Carroll²,

Rynne³

2010

Information Systems Foundations: The Role of Design Science

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This chapter describes the application of an appropriation perspective to support the evaluation, development and design of a knowledge management system-the Army Knowledge Domain (AKD) prototype-in the Australian Army. The AKD prototype was developed using an iterative approach informed by a modified form of the technology appropriation cycle (TAC). The TAC is a model that represents the process of appropriation through which technology is adopted, adapted and incorporated with personal, social and organisational practices, and describes how an understanding of users' appropriation choices can inform the design of future iterations of the system and supporting context. Results from the evaluation presented in this chapter have informed the next iterative development step for the AKD prototype. The utility of employing the modified TAC to support the evaluation, development and design of systems is then explored, including the support that the model provides to an expanded view of technology design.

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Design Science Research in Information Systems

Cited by 1,775 publications

References 17 publications

A template-based approach for responsibility management in executable business processes

A template-based approach for responsibility management in executable business processes

Design Science Evaluation for Enterprise Architecture Business Value Assessments

Evaluating information systems: an appropriation perspective

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