Models of Event Driven Systems

Bičevska, Zane; Bičevskis, Jānis; Karnītis, Ģirts

doi:10.1007/978-3-319-40180-5_6

Cited by 6 publications

(6 citation statements)

References 3 publications

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“…Nevertheless, debates evidenced in extant works and the diverse consequences of the COVID-19 pandemic show that developed and emerging economies were not thoroughly prepared for such an event (Hall et al, 2020; Rana, 2021; Zaoui et al, 2021). Thus, better science around events’ uncertainty may have been able to provide clearer warning and helped us avoid many of the tragic current circumstances (Bicevska et al, 2016; Douglas, 2009; Hofman et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In the context of EDMs in human behaviour research, the integration and accurate analysis of mediators is still in its embryonic phase, thus demanding closer attention to ensure more valid practical implications (Agler & De Boeck, 2017; Baptista et al, 2018; Bicevska et al, 2016; Lapointe-Shaw et al, 2018; Tisato & De Paoli, 1995). The science of prediction can aid organizational leaders to develop new and more effective strategies fundamental to dealing with the volatile impacts a disruptive event may have on human behaviour and business operations (Yarkoni & Westfall, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Back from the Future: Mediation and Prediction of Events Uncertainty through Event-Driven Models (EDMs)

Ogbeibu

Gaskin

2022

FIIB Business Review

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The event-driven model (EDM) is an emerging concept in human behavioural research, and understanding how EDMs can promote theory development remains a fundamental quest of predictive science. Traditionally, researchers have heavily depended upon theory confirmation and the inclusion of mediating constructs to clarify uncertainty associated with plausible events (e.g. political, socio-economic, technological, environmental). Though this approach has pushed the field forward, it has also steered mediation research towards largely ignoring the fundamental role of prediction as a key for better understanding future events represented by EDMs. Additionally, emerging research using partial least squares structural equation modelling to execute prediction-oriented analysis continues to overlook problematic endogeneity bias and plausible type IV errors due to omitted paths and neglect of indirect effect size estimation in mediation models that embrace the transmittal or segmentation mediation approaches. We aim to introduce prediction as a fundamental option for estimating EDMs and recommend that researchers employ the segmentation mediation approach when estimating EDMs. We further emphasize a novel direct and indirect ( v) effect size measure, types of prediction and cases when they are useful. Best practices and practical implications are provided to foster a more useful interpretation of findings.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Back from the Future: Mediation and Prediction of Events Uncertainty through Event-Driven Models (EDMs)

Ogbeibu

Gaskin

2022

FIIB Business Review

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“…The paper is a continuation of authors' researches in the area of executable models and DSL [15], [16], [17].…”

Section: Discussionmentioning

confidence: 92%

Domain-Specific Characteristics of Data Quality

Bičevska

Bičevskis

Odītis

2017

Annals of Computer Science and Information Systems

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The research discusses the issue how to describe data quality and what should be taken into account when developing an universal data quality management solution. The proposed approach is to create quality specifications for each kind of data objects and to make them executable. The specification can be executed step-by-step according to business process descriptions, ensuring the gradual accumulation of data in the database and data quality checking according to the specific use case. The described approach can be applied to check the completeness, accuracy, timeliness and consistency of accumulated data.

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“…Inside MDD4CCA's IDE, it is possible to generate business applications running on Microsoft Sharepoint platform. Similarly, Bicevska et al [21] enable business process modeling through the use of a DSL, and the definitions of executing business processes from models can be generated to include event-based architecture in their study.…”

Section: Related Workmentioning

confidence: 99%

A Domain-Specific Language for the Document-Based Model-Driven Engineering of Business Applications

2022

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To facilitate the development of business applications, a domain-specific language (DSL), called DARC, is introduced in this paper. Business documents including the descriptions of the responsibilities, authorizations, and collaborations, are used as the first-class entities during model-driven engineering (MDE) with DARC. Hence the implementation of the business applications can be automatically achieved from the corresponding document models. The evaluation of using DARC DSL for the development of commercial business software was performed in an international sales, logistics, and service solution provider company. The results showed that the code for all business documents and more than 50% of the responsibility descriptions composing the business applications could be generated automatically by modeling with DARC. Finally, according to the users' feedback, the assessment clearly revealed the adoption of DARC features in terms of the DSL quality characteristics,

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Models of Event Driven Systems

Cited by 6 publications

References 3 publications

Back from the Future: Mediation and Prediction of Events Uncertainty through Event-Driven Models (EDMs)

Back from the Future: Mediation and Prediction of Events Uncertainty through Event-Driven Models (EDMs)

Domain-Specific Characteristics of Data Quality

A Domain-Specific Language for the Document-Based Model-Driven Engineering of Business Applications

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