124,942 research outputs found

    ﻣﺮوري ﻧﻈﺎمﻣﻨﺪ ﺑﺮ ﭼﻬﺎرﭼﻮبﻫﺎ، ﻣﺰاﯾﺎ، ﺷﺎﺧﺺﻫﺎي ﺳﻨﺠﺶ و ﻓﺎﮐﺘﻮرﻫﺎي ﮐﻠﯿﺪي ﻣﻮﻓﻘﯿﺖ ﻣﻌﻤﺎري ﺳﺎزﻣﺎﻧﯽ

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    Enterprise architecture is an explicit description of existing documents, favorable relationships between business, processes and information technology and provides an outline for the creation of extensive information systems at the organization level. In fact, Enterprise architecture helps to implement an organization's strategy in a coordinated manner by aligning business processes with data and technology. This study examines and compares previous literature and academic articles on the benefits of adopting and applying Enterprise architecture, its indicators and modeling frameworks, as well as the factors affecting the implementation of Enterprise architecture. The results of this article indicate that factors such as clear understanding of the organization's business, increasing responsiveness to change and its management, information systems integration, information technology investments and acquisition strategies, development and maintenance of Enterprise architecture standards, business alignment With information technology, business process improvement, organizational agility, risk management and organizational governance have been considered from different perspectives in Enterprise architecture. The results of this article help to create a better understanding of Enterprise architecture and thus its successful implementation and execution

    Systematic review of frameworks, benefits, benchmarks and key success factors of Enterprise architecture

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    Enterprise architecture is an explicit description of existing documents, favorable relationships between business, processes and information technology and provides an outline for the creation of extensive information systems at the organization level. In fact, Enterprise architecture helps to implement an organization's strategy in a coordinated manner by aligning business processes with data and technology .This study examines and compares previous literature and academic articles on the benefits of adopting and applying Enterprise architecture, its indicators and modeling frameworks, as well as the factors affecting the implementation of Enterprise architecture. The results of this article indicate that factors such as clear understanding of the organization's business, increasing responsiveness to change and its management, information systems integration, information technology investments and acquisition strategies, development and maintenance of Enterprise architecture standards, business alignment With information technology, business process improvement, organizational agility, risk management and organizational governance have been considered from different perspectives in Enterprise architecture. The results of this article help to create a better understanding of Enterprise architecture and thus its successful implementation and execution

    Applying the business process and practice alignment meta-model: Daily practices and process modelling

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    Background: Business Process Modelling (BPM) is one of the most important phases of information system design. Business Process (BP) meta-models allow capturing informational and behavioural aspects of business processes. Unfortunately, standard BP meta-modelling approaches focus just on process description, providing different BP models. It is not possible to compare and identify related daily practices in order to improve BP models. This lack of information implies that further research in BP meta-models is needed to reflect the evolution/change in BP. Considering this limitation, this paper introduces a new BP meta-model designed by Business Process and Practice Alignment Meta-model (BPPAMeta-model). Our intention is to present a meta-model that addresses features related to the alignment between daily work practices and BP descriptions. Objectives: This paper intends to present a meta-model which is going to integrate daily work information into coherent and sound process definitions. Methods/Approach: The methodology employed in the research follows a design-science approach. Results: The results of the case study are related to the application of the proposed meta-model to align the specification of a BP model with work practices models. Conclusions: This meta-model can be used within the BPPAM methodology to specify or improve business processes models based on work practice descriptions

    Measuring Process Modelling Success

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    Process-modelling has seen widespread acceptance, par ticularly on large IT-enabled Business Process Reengineering projects. It is applied, as a process design and management technique, across all life-cycle phases of a system. While there has been much research on aspects of process-modelling, little attention has focused on post-hoc evaluation of process-modelling success. This paper addresses this gap, and presents a process-modelling success measurement (PMS) framework, which includes the dimensions: process-model quality; model use; user satisfaction; and process modelling impact. Measurement items for each dimension are also suggested

    Towards Design Principles for Data-Driven Decision Making: An Action Design Research Project in the Maritime Industry

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    Data-driven decision making (DDD) refers to organizational decision-making practices that emphasize the use of data and statistical analysis instead of relying on human judgment only. Various empirical studies provide evidence for the value of DDD, both on individual decision maker level and the organizational level. Yet, the path from data to value is not always an easy one and various organizational and psychological factors mediate and moderate the translation of data-driven insights into better decisions and, subsequently, effective business actions. The current body of academic literature on DDD lacks prescriptive knowledge on how to successfully employ DDD in complex organizational settings. Against this background, this paper reports on an action design research study aimed at designing and implementing IT artifacts for DDD at one of the largest ship engine manufacturers in the world. Our main contribution is a set of design principles highlighting, besides decision quality, the importance of model comprehensibility, domain knowledge, and actionability of results
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