Towards a Context-Aware Analysis of Business Process Performance

Leyer, Michael

doi:10.2139/ssrn.1976881

Cited by 8 publications

(7 citation statements)

References 28 publications

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“…Different aspects of process duration can also be analyzed. For instance, [23] examines the influence of contextual factors (such as weekday or season) on process duration. Ballambettu et al [5] propose a method for identifying key differences of process variants that could affect process duration.…”

Section: Aspects Of Process Performance (Rq1)mentioning

confidence: 99%

“…A business seeking to conduct data-driven performance analysis, should first select the type of technique. Descriptive analysis will show the current state and [34], [23], [5], [6], [32], [3] Process Duration -- [41] Fragment Duration Activity Start and End Time [7], [24], [23], [17], [5] Activity Duration -- [19], [31], [29], [34], [7], [24] Waiting Duration [30], [38], [36], [ [21], [22] Framework to extract process characteristics from event logs discriminating between positive and negative cases [5], [6] Comparing waiting duration of similar process in different installations [11], [15] Collaborative Processes [26] Evolution of performance over time [40] Framework for performance-related analysis with information-poor event logs Type Domain…”

Section: Frameworkmentioning

confidence: 99%

“…Case Study [33], [17], [23] Banks [7], [24], [39], [44], [19], [12] Healthcare Processes [29], [30], [11] Manufacturing Processes…”

Section: Frameworkmentioning

confidence: 99%

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A Comparative Evaluation of Log-Based Process Performance Analysis Techniques

Milani

Maggi

2018

Business Information Systems

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Process mining has gained traction over the past decade and an impressive body of research has resulted in the introduction of a variety of process mining approaches measuring process performance. Having this set of techniques available, organizations might find it difficult to identify which approach is best suited considering context, performance indicator, and data availability. In light of this challenge, this paper aims at introducing a framework for categorizing and selecting performance analysis approaches based on existing research. We start from a systematic literature review for identifying the existing works discussing how to measure process performance based on information retrieved from event logs. Then, the proposed framework is built starting from the information retrieved from these studies taking into consideration different aspects of performance analysis. accessibility to open source tools has never been easier, in particular for data driven analysis of business processes. Therefore, in a digital era, businesses cannot hope to survive with manually driven methods. The process analysis must also be digitally transformed by tapping into data-driven analysis methods.One group of techniques for data driven performance analysis uses event logs of processes to assess performance. Indeed, nowadays, business processes are often supported by IT systems that log their execution. For instance, an order-to-invoice process might include activities such as register, validate, approve, fill order and send invoice. Each order has a unique id and every activity is recorded in the event log with information about the time when it was executed (timestamp) and other additional data such as the resource (person or device) that executed the activity. As such, the process is inherently captured in the log. With process mining techniques [2], the performance of such processes can be assessed and analyzed in great detail based on event logs.The body of research and tools within the field of process mining has grown significantly during this decade. However, the availability of tools and approaches developed for specific aspects of process performance does not make it easier for businesses to employ them. In fact, it poses a challenge. There is no way for businesses to easily get an overview of what performance indicators can be measured, what input data is required for such analysis, or what industry specific implementations are available. In light of this context, we propose a framework for the selection of log-based performance analysis techniques. We do so by conducting a systematic literature review to identify the body of existing work. We analyze the results and focus on identifying existing process performance indicators, required input data, and approaches available. Based on the results, we build a framework for the selection of suitable performance analysis approaches.The structure of this paper is as follows. Section 2 summarizes the research protocol for the systematic survey. In Section 3, the research que...

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Section: Aspects Of Process Performance (Rq1)mentioning

confidence: 99%

Section: Frameworkmentioning

confidence: 99%

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A Comparative Evaluation of Log-Based Process Performance Analysis Techniques

Milani

Maggi

2018

Business Information Systems

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“…This can be done by identifying the influence of underlying contexts, or "any information that can be used to characterise the situation of an entity" (Dey, 2001). Leyer (2011) states that contextual factors can be used to operationalise context as indicators of the environment surrounding a business process. A contextual factor is therefore taken to be any condition within the context of a business process that may influence execution of the process, thus impacting the flow of activities, relevant events, involved roles, resources or data.…”

Section: Building Process Configurabilitymentioning

confidence: 99%

“…A number of studies were examined but found inapplicable as they related to other aspects of context, e.g. : effect of context on process performance (Leyer, 2011); context mining (Ploesser et al, 2009); context-awareness of information or technical systems (Dey, 2001; Newman and Sabherwal, 1991); and context-aware process modelling (Ploesser et al, 2009;Saidani and Nurcan, 2007). A study by Rosemann et al (2008), however, found to be applicable for scoping alone, and their "onion model" has been adapted as shown in Figure 7 to "identify, classify, understand and integrate relevant context with business process models".…”

Section: Building Process Configurabilitymentioning

confidence: 99%

Designing complex socio-technical process systems – the airport example

Mazhar

Rosemann

2018

BPMJ

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Purpose A configurable reference model can be used to assist in the development and management of business processes in complex, multi-stakeholder environments. The purpose of this paper is to demonstrate a process design in such environments via configurable process reference modelling, using airports as an example. Design/methodology/approach Existing reference modelling methods around process modelling, merging and configuration are extended to include contextual and spatial factors using the design science methodology. The approach is empirically based on a set of business process management notation (BPMN) models for international passenger departures, consolidated from five Australian airport case studies via document analysis, interviews and observation. Findings The use of contextual factors and operational scenarios, structured using the proposed approach, facilitated efficient cross-organisational comparison for configuring processes to suit the needs of a target organisation. The resulting configurable model integrates the perspectives of organisational stakeholder groups with that of the customer in a transparent and unambiguous graphical representation. It is a reusable tool with low data collection needs for each use. Research limitations/implications Future research should include: version management; how to keep the model current; configurability via modelling objects other than gateways; and cross-discipline application (e.g. as a foundation for quantitative decision-making models). Originality/value This is the first reported application of configurable reference modelling to airport passenger facilitation. Methodological contributions include the addition of space-sensitive process elements and notation to BPMN; guidelines for systematically deriving contextual factors associated with process variants across similar organisations; and overall normative guidelines for inductively developing a configurable process reference model.

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A New Trace Clustering Algorithm Based on Context in Process Mining

Bui

Nguyen

et al. 2018

Rough Sets

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Towards a Context-Aware Analysis of Business Process Performance

Cited by 8 publications

References 28 publications

A Comparative Evaluation of Log-Based Process Performance Analysis Techniques

A Comparative Evaluation of Log-Based Process Performance Analysis Techniques

Designing complex socio-technical process systems – the airport example

A New Trace Clustering Algorithm Based on Context in Process Mining

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