企业架构能力建模:从知识、技能和态度到组织能力

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
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引用次数: 0

摘要

摘要 基于能力的方法受到越来越多的关注,因为对具有适当能力组合的合格人员的需求已成为组织绩效的一个主要因素。本文探讨了如何将能力纳入企业架构建模:(i) 我们确定了一组与能力相关的关键概念,如知识、技能和态度;(ii) 使用参考本体(以统一基础本体为基础)对它们进行分析和关联;(iii) 提出了一种利用 ArchiMate 语言对能力及其构成要素进行建模的表示策略,并讨论了所提出的模型如何适合基于能力的企业实践。我们的方法旨在涵盖与企业架构和能力建模的联合应用相关的两项任务:"放大 "能力,揭示能力、知识、技能、态度和其他与组织绩效相关的个人特征之间的关系;以及 "缩小 "能力,将其置于其他个人能力和整体组织能力的大背景下。以实证调查的形式对代表性进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling competences in enterprise architecture: from knowledge, skills, and attitudes to organizational capabilities

Abstract

Competence-based approaches have received increased attention, as the demand for qualified people with the right combination of competences establishes itself as a major factor of organizational performance. This paper examines how competences can be incorporated into Enterprise Architecture modeling: (i) we identify a key set of competence-related concepts such as knowledge, skills, and attitudes, (ii) analyze and relate them using a reference ontology (grounded on the Unified Foundational Ontology), and (iii) propose a representation strategy for modeling competences and their constituent elements leveraging the ArchiMate language, discussing how the proposed models can fit in enterprise competence-based practices. Our approach is intended to cover two tasks relevant to the combined application of Enterprise Architecture and Competence Modeling: ‘zooming in’ on competences, revealing the relations between competences, knowledge, skills, attitudes and other personal characteristics that matter in organizational performance, and ‘zooming out’ of competences, placing them in the wider context of other personal competences and overall organizational capabilities. An assessment of the representation is offered in the form of an empirical survey.

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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
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