Self-organization of interorganizational process design

Rittgen, Peter

doi:10.1007/s12525-009-0018-y

Cited by 7 publications

(3 citation statements)

References 21 publications

(17 reference statements)

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“…We specifically explore facilitation in the systems analysis and design practice of process modeling. Process modeling concerns the design of semi-formal models (directed graphs) of inter-or intra-organizational business processes for the purposes of business process management (BPM), process documentation, organizational redesign, or workflow automation (Rittgen, 2009). Process modeling's key objective is to reach a common understanding of how a business process works currently or in the future (Recker, Rosemann, & Indulska, 2009) in order to analyze or design information systems that can support these processes.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Behavior of Workshop Facilitators in Systems Analysis and Design Projects: Developing Theory from Process Modeling Projects

Hjalmarsson¹,

Recker²,

Rosemann³

et al. 2015

CAIS

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Organizational and technological systems analysis and design practices such as process modeling have received much attention in recent years. However, while knowledge about related artifacts such as models, tools, or grammars has substantially matured, little is known about the actual tasks and interaction activities that are conducted as part of analysis and design acts. In particular, key role of the facilitator has not been researched extensively to date. In this paper, we propose a new conceptual framework that can be used to examine facilitation behaviors in process modeling projects. The framework distinguishes four behavioral styles in facilitation (the driving engineer, the driving artist, the catalyzing engineer, and the catalyzing artist) that a facilitator can adopt. To distinguish between the four styles, we provide a set of ten behavioral anchors that underpin facilitation behaviors. We also report on a preliminary empirical exploration of our framework through interviews with experienced analysts in six modeling cases. Our research provides a conceptual foundation for an emerging theory for describing and explaining different behaviors associated with process modeling facilitation, provides first preliminary empirical results about facilitation in modeling projects, and provides a fertile basis for examining facilitation in other conceptual modeling activities.

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Section: Introductionmentioning

confidence: 99%

Understanding the Behavior of Workshop Facilitators in Systems Analysis and Design Projects: Developing Theory from Process Modeling Projects

Hjalmarsson¹,

Recker²,

Rosemann³

et al. 2015

CAIS

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show abstract

“…That is why data screening, cleansing, and pre-processing need to be performed before ML algorithms can use these data as an input (Basti et al 2015, p. 22). One major problem resulting from data cleansing is the possibility of losing important information by removing certain parts of the data (Rittgen 2009). As a result, variables generated from data mining models could lead to biases, and misclassifications (Yang et al 2018, p. 4).…”

Section: Data Preparation Feature Selection and Engineeringmentioning

confidence: 99%

Machine learning in information systems - a bibliographic review and open research issues

2021

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Artificial Intelligence (AI) and Machine Learning (ML) are currently hot topics in industry and business practice, while management-oriented research disciplines seem reluctant to adopt these sophisticated data analytics methods as research instruments. Even the Information Systems (IS) discipline with its close connections to Computer Science seems to be conservative when conducting empirical research endeavors. To assess the magnitude of the problem and to understand its causes, we conducted a bibliographic review on publications in high-level IS journals. We reviewed 1,838 articles that matched corresponding keyword-queries in journals from the AIS senior scholar basket, Electronic Markets and Decision Support Systems (Ranked B). In addition, we conducted a survey among IS researchers (N = 110). Based on the findings from our sample we evaluate different potential causes that could explain why ML methods are rather underrepresented in top-tier journals and discuss how the IS discipline could successfully incorporate ML methods in research undertakings.

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“…Self-organization of modelling teams has been studied in (Rittgen, 2009) where we looked at the roles and team structures that evolve when a group is allowed to model on its own.…”

Section: Related Researchmentioning

confidence: 99%

Self-organization of interorganizational process design

Cited by 7 publications

References 21 publications

Understanding the Behavior of Workshop Facilitators in Systems Analysis and Design Projects: Developing Theory from Process Modeling Projects

Understanding the Behavior of Workshop Facilitators in Systems Analysis and Design Projects: Developing Theory from Process Modeling Projects

Machine learning in information systems - a bibliographic review and open research issues

Goal Commitment and Competition as Drivers for Group Productivity in Business Process Modeling

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