Conceptual Modeling for Corporate Social Responsibility: A Systematic Literature Review

Otília de Sousa Santos; Patrício de Alencar Silva; Faiza Allah Bukhsh; Paulo Gabriel Gadelha Queiroz

doi:10.1007/978-3-030-36027-6_19

Conceptual Modeling for Corporate Social Responsibility: A Systematic Literature Review

Otília de Sousa Santos, Patrício de Alencar Silva^*, Faiza Allah Bukhsh, Paulo Gabriel Gadelha Queiroz

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Enterprises have been challenged to adopt practices of sustainability to benefit shareholders and society with goods standing much beyond monetary profit or required by law. In combination with environmental and economic concerns, Corporate Social Responsibility (CSR) has become an option to leverage businesses with good reputation and to attract sustainability-aware market segments. In line with such a demand, this paper presents a systematic literature review of conceptual modeling studies referring explicitly to certifications, laws or norms of CSR. The more specific research goal of this work is to discover ontologies for representing CSR best practices, design patterns or policies. In total, 921 peer-reviewed papers were analyzed, from which only 17 were considered relevant for data extraction. The main result of this work is the identification of a research gap in explicit knowledge representation of CSR practices for Information Systems design, which ought to be filled to complement the (dominant) economic perspective on sustainability.

Original language	English
Title of host publication	Economics of Grids, Clouds, Systems, and Services - 16th International Conference, GECON 2019, Proceedings
Editors	Karim Djemame, Jörn Altmann, José Ángel Bañares, Orna Agmon Ben-Yehuda, Maurizio Naldi
Publisher	Springer Singapore
Pages	218-227
Number of pages	10
ISBN (Print)	9783030360269
DOIs	https://doi.org/10.1007/978-3-030-36027-6_19
Publication status	Published - 2019
Event	16th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2019 - Leeds, United Kingdom Duration: 17 Sep 2019 → 19 Sep 2019 Conference number: 16

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11819 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2019
Abbreviated title	GECON 2019
Country	United Kingdom
City	Leeds
Period	17/09/19 → 19/09/19

Keywords

Conceptual modeling
Corporate Social Responsibility
Ontology
Sustainability

Access to Document

10.1007/978-3-030-36027-6_19

Link to publication in Scopus

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de Sousa Santos, O., de Alencar Silva, P., Bukhsh, F. A., & Queiroz, P. G. G. (2019). Conceptual Modeling for Corporate Social Responsibility: A Systematic Literature Review. In K. Djemame, J. Altmann, J. Á. Bañares, O. Agmon Ben-Yehuda, & M. Naldi (Eds.), Economics of Grids, Clouds, Systems, and Services - 16th International Conference, GECON 2019, Proceedings (pp. 218-227). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11819 LNCS). Springer Singapore. https://doi.org/10.1007/978-3-030-36027-6_19

de Sousa Santos, Otília ; de Alencar Silva, Patrício ; Bukhsh, Faiza Allah ; Queiroz, Paulo Gabriel Gadelha. / Conceptual Modeling for Corporate Social Responsibility : A Systematic Literature Review. Economics of Grids, Clouds, Systems, and Services - 16th International Conference, GECON 2019, Proceedings. editor / Karim Djemame ; Jörn Altmann ; José Ángel Bañares ; Orna Agmon Ben-Yehuda ; Maurizio Naldi. Springer Singapore, 2019. pp. 218-227 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Enterprises have been challenged to adopt practices of sustainability to benefit shareholders and society with goods standing much beyond monetary profit or required by law. In combination with environmental and economic concerns, Corporate Social Responsibility (CSR) has become an option to leverage businesses with good reputation and to attract sustainability-aware market segments. In line with such a demand, this paper presents a systematic literature review of conceptual modeling studies referring explicitly to certifications, laws or norms of CSR. The more specific research goal of this work is to discover ontologies for representing CSR best practices, design patterns or policies. In total, 921 peer-reviewed papers were analyzed, from which only 17 were considered relevant for data extraction. The main result of this work is the identification of a research gap in explicit knowledge representation of CSR practices for Information Systems design, which ought to be filled to complement the (dominant) economic perspective on sustainability.",

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de Sousa Santos, O, de Alencar Silva, P, Bukhsh, FA & Queiroz, PGG 2019, Conceptual Modeling for Corporate Social Responsibility: A Systematic Literature Review. in K Djemame, J Altmann, JÁ Bañares, O Agmon Ben-Yehuda & M Naldi (eds), Economics of Grids, Clouds, Systems, and Services - 16th International Conference, GECON 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11819 LNCS, Springer Singapore, pp. 218-227, 16th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2019, Leeds, United Kingdom, 17/09/19. https://doi.org/10.1007/978-3-030-36027-6_19

Conceptual Modeling for Corporate Social Responsibility : A Systematic Literature Review. / de Sousa Santos, Otília; de Alencar Silva, Patrício; Bukhsh, Faiza Allah; Queiroz, Paulo Gabriel Gadelha.

Economics of Grids, Clouds, Systems, and Services - 16th International Conference, GECON 2019, Proceedings. ed. / Karim Djemame; Jörn Altmann; José Ángel Bañares; Orna Agmon Ben-Yehuda; Maurizio Naldi. Springer Singapore, 2019. p. 218-227 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11819 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T2 - 16th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2019

AU - de Sousa Santos, Otília

AU - de Alencar Silva, Patrício

AU - Bukhsh, Faiza Allah

AU - Queiroz, Paulo Gabriel Gadelha

N1 - Conference code: 16

PY - 2019

Y1 - 2019

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AB - Enterprises have been challenged to adopt practices of sustainability to benefit shareholders and society with goods standing much beyond monetary profit or required by law. In combination with environmental and economic concerns, Corporate Social Responsibility (CSR) has become an option to leverage businesses with good reputation and to attract sustainability-aware market segments. In line with such a demand, this paper presents a systematic literature review of conceptual modeling studies referring explicitly to certifications, laws or norms of CSR. The more specific research goal of this work is to discover ontologies for representing CSR best practices, design patterns or policies. In total, 921 peer-reviewed papers were analyzed, from which only 17 were considered relevant for data extraction. The main result of this work is the identification of a research gap in explicit knowledge representation of CSR practices for Information Systems design, which ought to be filled to complement the (dominant) economic perspective on sustainability.

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de Sousa Santos O, de Alencar Silva P, Bukhsh FA, Queiroz PGG. Conceptual Modeling for Corporate Social Responsibility: A Systematic Literature Review. In Djemame K, Altmann J, Bañares JÁ, Agmon Ben-Yehuda O, Naldi M, editors, Economics of Grids, Clouds, Systems, and Services - 16th International Conference, GECON 2019, Proceedings. Springer Singapore. 2019. p. 218-227. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-36027-6_19