Synthesis and Decomposition of Processes in Organizations

Basu, Amit; Blanning, Robert W.

doi:10.1287/isre.14.4.337.24901

Cited by 61 publications

(37 citation statements)

References 17 publications

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“…The identification of such correspondences is a prerequisite for merging and integrating process models [54,55,56]. Inspired by techniques on schema and ontology matching [57], there has been a series of works discussing the specifics of aligning and comparing process models.…”

Section: Related Workmentioning

confidence: 99%

On the refactoring of activity labels in business process models

Leopold

Smirnov

Mendling

2012

Information Systems

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Large corporations increasingly utilize business process models for documenting and redesigning their operations. The extent of such modeling initiatives with several hundred models and dozens of often hardly trained modelers calls for automated quality assurance. While formal properties of control flow can easily be checked by existing tools, there is a notable gap for checking the quality of the textual content of models, in particular, its activity labels. In this paper, we address the problem of activity label quality in business process models. We designed a technique for the recognition of labeling styles, and the automatic refactoring of labels with quality issues. More specifically, we developed a parsing algorithm that is able to deal with the shortness of activity labels, which integrates natural language tools like WordNet and the Stanford Parser. Using three business process model collections from practice with differing labeling style distributions, we demonstrate the applicability of our technique. In comparison to a straightforward application of standard natural language tools, our technique provides much more stable results. As an outcome, the technique shifts the boundary of process model quality issues that can be checked automatically from syntactic to semantic aspects.

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Section: Related Workmentioning

confidence: 99%

On the refactoring of activity labels in business process models

Leopold

Smirnov

Mendling

2012

Information Systems

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“…Many firms are linked through electronic networks and software applications, as well as the merger of their business processes (Hammer, 2001, Straub and Watson, 2001, Mukhopadhyay and Kekre, 2002, Basu and Blanning, 2003. Thus, trading partners have an impact on the production of IT investment value (Clemons and Row, 1993, Bakos and Nault, 1997, Chatfield and Yetton, 2000.…”

Section: Partner Characteristicsmentioning

confidence: 99%

An Integration Model of the Impact of IT Investment Announcements on Firm Market Value

Zhang¹,

Huang²,

Wang³

2012

IBR

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Large amounts of resources have been, and will continue to be, invested in information technology (IT).The current paper establishes an integrative model of the impact of IT investment announcements on firm market valueby reviewing and analyzing several papers of empirical research. The impact factors are divided into four parts:IT investment characteristics, firm characteristics, competitive environment (including industry characteristics and partner characteristics), and country characteristics. In addition, the current article applies the integrative model to guide future research by proposingcorresponding hypotheses. The objective of the paper is to help scholars further understand the status and limitations of relative studies to facilitate further research. The proposed hypotheses providefirms with scenarios that can get the most benefit out of IT investment, thus guiding scholars on empirical research as well as strategic decision makers in organizations.

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“…These criteria are defined on activity properties such as execution cost, duration, frequency, and associated resources; activities are either abstracted or preserved depending on whether they meet the given criteria. Basu and Blanning [2] propose a technique for detecting possible abstractions by searching for structural patterns. We are not aware of BPMA algorithms and, in particular, activity aggregation algorithms, that use semantic information.…”

Section: Related Workmentioning

confidence: 99%

Meronymy-Based Aggregation of Activities in Business Process Models

Smirnov

Dijkman

Mendling

et al. 2010

Conceptual Modeling – ER 2010

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Abstract. As business process management is increasingly applied in practice, more companies document their operations in the form of process models. Since users require descriptions of one process on various levels of detail, there are often multiple models created for the same process. Business process model abstraction emerged as a technique reducing the number of models to be stored: given a detailed process model, business process model abstraction delivers abstract representations for the same process. A key problem in many abstraction scenarios is the transition from detailed activities in the initial model to coarse-grained activities in the abstract model. This transition is realized by an aggregation operation clustering multiple activities to a single one. So far, humans decide on how to aggregate, which is expensive. This paper presents a semi-automated approach to activity aggregation that reduces the human effort significantly. The approach takes advantage of an activity meronymy relation, i.e., part-of relation defined between activities. The approach is semi-automated, as it proposes sets of meaningful aggregations, while the user still decides. The approach is evaluated by a real-world use case.

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Synthesis and Decomposition of Processes in Organizations

Cited by 61 publications

References 17 publications

On the refactoring of activity labels in business process models

On the refactoring of activity labels in business process models

An Integration Model of the Impact of IT Investment Announcements on Firm Market Value

Meronymy-Based Aggregation of Activities in Business Process Models

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