Digital transformation of business models: influence of operation and trade variables

Martha Garcia Samper; Harold Bernardo Sukier; Diego Baez Palencia; Reynier Israel Ramirez Molina; Katherin Barranco Alfaro; Yurleidis Salamanca Sánchez; Andrea Carolina Franco Sarmiento

doi:10.1016/j.procs.2022.07.125

Digital transformation of business models: influence of operation and trade variables

Martha Garcia Samper
, Harold Bernardo Sukier
, Diego Baez Palencia
, Reynier Israel Ramirez Molina
, Katherin Barranco Alfaro
, Yurleidis Salamanca Sánchez
, Andrea Carolina Franco Sarmiento

Universidad de la Costa

Producción: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

14 Citas (Scopus)

Resumen

This paper aims to determine how digital transformation of operation and trading processes influence the digital transformation of business models in printed media industries. A regression model was applied to address the phenomenon and test the hypothesis. Measurements were performed through a self-administered tool, aimed to executives in a sample including 40 companies in the sector. The results allowed to confirm that the application of digital transformation to trading and operation processes directly leads to a digital transformation of the business model, enhancing the identification of a particular effort and investment approach for the digital turn of businesses.

Idioma original	Inglés
Páginas (desde-hasta)	565-569
Número de páginas	5
Publicación	Procedia Computer Science
Volumen	203
DOI	https://doi.org/10.1016/j.procs.2022.07.125
Estado	Publicada - 2022
Publicado de forma externa	Sí
Evento	17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology, FNC/MobiSPC/SEIT 2022 - Niagara Falls, Canadá Duración: 09 ago 2022 → 11 ago 2022

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title = "Digital transformation of business models: influence of operation and trade variables",

abstract = "This paper aims to determine how digital transformation of operation and trading processes influence the digital transformation of business models in printed media industries. A regression model was applied to address the phenomenon and test the hypothesis. Measurements were performed through a self-administered tool, aimed to executives in a sample including 40 companies in the sector. The results allowed to confirm that the application of digital transformation to trading and operation processes directly leads to a digital transformation of the business model, enhancing the identification of a particular effort and investment approach for the digital turn of businesses.",

keywords = "business model, business processes, digital transformation, operational processes",

author = "Samper, \{Martha Garcia\} and Sukier, \{Harold Bernardo\} and Palencia, \{Diego Baez\} and Molina, \{Reynier Israel Ramirez\} and Alfaro, \{Katherin Barranco\} and S{\'a}nchez, \{Yurleidis Salamanca\} and Sarmiento, \{Andrea Carolina Franco\}",

note = "Publisher Copyright: {\textcopyright} 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the Conference Program Chairs.; 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology, FNC/MobiSPC/SEIT 2022 ; Conference date: 09-08-2022 Through 11-08-2022",

year = "2022",

doi = "10.1016/j.procs.2022.07.125",

language = "English",

volume = "203",

pages = "565--569",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Digital transformation of business models

T2 - 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology, FNC/MobiSPC/SEIT 2022

AU - Samper, Martha Garcia

AU - Sukier, Harold Bernardo

AU - Palencia, Diego Baez

AU - Molina, Reynier Israel Ramirez

AU - Alfaro, Katherin Barranco

AU - Sánchez, Yurleidis Salamanca

AU - Sarmiento, Andrea Carolina Franco

N1 - Publisher Copyright: © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the Conference Program Chairs.

PY - 2022

Y1 - 2022

N2 - This paper aims to determine how digital transformation of operation and trading processes influence the digital transformation of business models in printed media industries. A regression model was applied to address the phenomenon and test the hypothesis. Measurements were performed through a self-administered tool, aimed to executives in a sample including 40 companies in the sector. The results allowed to confirm that the application of digital transformation to trading and operation processes directly leads to a digital transformation of the business model, enhancing the identification of a particular effort and investment approach for the digital turn of businesses.

AB - This paper aims to determine how digital transformation of operation and trading processes influence the digital transformation of business models in printed media industries. A regression model was applied to address the phenomenon and test the hypothesis. Measurements were performed through a self-administered tool, aimed to executives in a sample including 40 companies in the sector. The results allowed to confirm that the application of digital transformation to trading and operation processes directly leads to a digital transformation of the business model, enhancing the identification of a particular effort and investment approach for the digital turn of businesses.

KW - business model

KW - business processes

KW - digital transformation

KW - operational processes

UR - https://www.scopus.com/pages/publications/85141709521

U2 - 10.1016/j.procs.2022.07.125

DO - 10.1016/j.procs.2022.07.125

M3 - Conference article

AN - SCOPUS:85141709521

SN - 1877-0509

VL - 203

SP - 565

EP - 569

JO - Procedia Computer Science

JF - Procedia Computer Science

Y2 - 9 August 2022 through 11 August 2022

ER -

Digital transformation of business models: influence of operation and trade variables

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