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Domains for assessing companies’ readiness for digital transformation: practical cases. / Stoianova, Olga; Ivanova, Victoriia; Lezina, Tatiana; Moskaleva, Valeriia.

Proceedings of the 33rd International Business Information Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management through Vision 2020. ed. / K.S. Soliman . IBIMA, 2019. p. 1505-1513.

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Vancouver

Stoianova O, Ivanova V, Lezina T, Moskaleva V. Domains for assessing companies’ readiness for digital transformation: practical cases. In Soliman KS, editor, Proceedings of the 33rd International Business Information Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management through Vision 2020. IBIMA. 2019. p. 1505-1513

Author

Stoianova, Olga ; Ivanova, Victoriia ; Lezina, Tatiana ; Moskaleva, Valeriia. / Domains for assessing companies’ readiness for digital transformation: practical cases. Proceedings of the 33rd International Business Information Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management through Vision 2020. editor / K.S. Soliman . IBIMA, 2019. pp. 1505-1513

BibTeX

@inproceedings{1bc33300d63a4700aaa8aa7f6fe17f8c,
title = "Domains for assessing companies{\textquoteright} readiness for digital transformation: practical cases",
abstract = "More than half of large digital transformation projects in business practice fail to achieve their predefined goals. One major reason for failure is a lack of readiness. The problem lies in estimating the level of readiness. Existing approaches to evaluating companies' readiness for digital transformation are different and don't contain the justification of readiness criteria. The goal of this study is to determine the domains of a model for assessing companies' readiness for digital transformation by analyzing best practices. The article presents the results of analysis successful Russian companies implementing complex, large digital transformation projects. The study confirmed the hypothesis of the presence of typical areas of change for companies before implementing projects on digital transformation. To clarify the key areas of change and model's domain allocation, an analysis of modern management methodologies has been conducted. The distinguished domains are {\^A}«Systematic management{\^A}», {\^A}«Business processes{\^A}», {\^A}«Human resource readiness{\^A}», {\^A}«Data management{\^A}» and {\^A}«Enterprise architecture{\^A}».",
keywords = "digital transformation, the company{\textquoteright}s readiness, domains of the framework, criteria of readiness, readiness assessment, Digital transformation, Readiness assessment, Practical cases",
author = "Olga Stoianova and Victoriia Ivanova and Tatiana Lezina and Valeriia Moskaleva",
year = "2019",
language = "English",
pages = "1505--1513",
editor = "{Soliman }, K.S.",
booktitle = "Proceedings of the 33rd International Business Information Management Association Conference, IBIMA 2019",
publisher = "IBIMA",
address = "United States",
note = "Education Exellence and Innovation Management through Vision 2020, IBIMA ; Conference date: 10-04-2019 Through 11-04-2019",

}

RIS

TY - GEN

T1 - Domains for assessing companies’ readiness for digital transformation: practical cases

AU - Stoianova, Olga

AU - Ivanova, Victoriia

AU - Lezina, Tatiana

AU - Moskaleva, Valeriia

N1 - Conference code: 33

PY - 2019

Y1 - 2019

N2 - More than half of large digital transformation projects in business practice fail to achieve their predefined goals. One major reason for failure is a lack of readiness. The problem lies in estimating the level of readiness. Existing approaches to evaluating companies' readiness for digital transformation are different and don't contain the justification of readiness criteria. The goal of this study is to determine the domains of a model for assessing companies' readiness for digital transformation by analyzing best practices. The article presents the results of analysis successful Russian companies implementing complex, large digital transformation projects. The study confirmed the hypothesis of the presence of typical areas of change for companies before implementing projects on digital transformation. To clarify the key areas of change and model's domain allocation, an analysis of modern management methodologies has been conducted. The distinguished domains are «Systematic management», «Business processes», «Human resource readiness», «Data management» and «Enterprise architecture».

AB - More than half of large digital transformation projects in business practice fail to achieve their predefined goals. One major reason for failure is a lack of readiness. The problem lies in estimating the level of readiness. Existing approaches to evaluating companies' readiness for digital transformation are different and don't contain the justification of readiness criteria. The goal of this study is to determine the domains of a model for assessing companies' readiness for digital transformation by analyzing best practices. The article presents the results of analysis successful Russian companies implementing complex, large digital transformation projects. The study confirmed the hypothesis of the presence of typical areas of change for companies before implementing projects on digital transformation. To clarify the key areas of change and model's domain allocation, an analysis of modern management methodologies has been conducted. The distinguished domains are «Systematic management», «Business processes», «Human resource readiness», «Data management» and «Enterprise architecture».

KW - digital transformation

KW - the company’s readiness

KW - domains of the framework

KW - criteria of readiness

KW - readiness assessment

KW - Digital transformation

KW - Readiness assessment

KW - Practical cases

UR - http://www.scopus.com/inward/record.url?scp=85074091792&partnerID=8YFLogxK

M3 - Conference contribution

SP - 1505

EP - 1513

BT - Proceedings of the 33rd International Business Information Management Association Conference, IBIMA 2019

A2 - Soliman , K.S.

PB - IBIMA

T2 - Education Exellence and Innovation Management through Vision 2020

Y2 - 10 April 2019 through 11 April 2019

ER -

ID: 46221158