Agency monitoring patterns for value networks

Patrício de Alencar Silva; Faiza Allah Bukhsh; Jefferson da Silva Reis; Angélica Félix de Castro

doi:10.1007/978-3-319-68066-8_7

Agency monitoring patterns for value networks

Patrício de Alencar Silva^*, Faiza Allah Bukhsh, Jefferson da Silva Reis, Angélica Félix de Castro

^*Corresponding author for this work

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

3 Citations (Scopus)

7 Downloads (Pure)

Abstract

Value network models represent an arrangement of actors, activities and objects of business value configured to satisfy a market segment’s need. As some actors might act unreliably due to unpredicted weaknesses, opportunism that threat value co-creation, monitoring becomes an issue necessary for designing a realistic value model. The research question addressed in this paper is how value network models could be designed with a preventive monitoring organization. We therefore propose a monitoring task ontology and five agency communication patterns for this end. The ontology blends principles of Multiple Agency, Speech Acts, Enterprise Ontology and Value Modeling. We demonstrate the utility of the ontology with a case-based scenario from the Smart Metering markets, and a conformity-test supported by the e³value tool. The case scenario comes from the Directive 2009/72/EC of the European Parliament.

Original language	English
Title of host publication	Economics of Grids, Clouds, Systems, and Services
Subtitle of host publication	14th International Conference, GECON 2017, Proceedings
Editors	Jose Angel Banares, Congduc Pham, Jorn Altmann
Publisher	Springer
Pages	81-93
Number of pages	13
ISBN (Print)	9783319680651
DOIs	https://doi.org/10.1007/978-3-319-68066-8_7
Publication status	Published - 2017
Event	14th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2017 - Biarritz Casino, Biarritz, France Duration: 19 Sept 2017 → 21 Sept 2017 Conference number: 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10537 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2017
Abbreviated title	GECON
Country/Territory	France
City	Biarritz
Period	19/09/17 → 21/09/17

Keywords

Agency theory
Ontology
Smart metering
Value networks

Access to Document

10.1007/978-3-319-68066-8_7

Cite this

de Alencar Silva, P., Allah Bukhsh, F., da Silva Reis, J., & de Castro, A. F. (2017). Agency monitoring patterns for value networks. In J. A. Banares, C. Pham, & J. Altmann (Eds.), Economics of Grids, Clouds, Systems, and Services: 14th International Conference, GECON 2017, Proceedings (pp. 81-93). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10537 LNCS). Springer. https://doi.org/10.1007/978-3-319-68066-8_7

de Alencar Silva, Patrício ; Allah Bukhsh, Faiza ; da Silva Reis, Jefferson et al. / Agency monitoring patterns for value networks. Economics of Grids, Clouds, Systems, and Services: 14th International Conference, GECON 2017, Proceedings. editor / Jose Angel Banares ; Congduc Pham ; Jorn Altmann. Springer, 2017. pp. 81-93 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Agency monitoring patterns for value networks",

abstract = "Value network models represent an arrangement of actors, activities and objects of business value configured to satisfy a market segment{\textquoteright}s need. As some actors might act unreliably due to unpredicted weaknesses, opportunism that threat value co-creation, monitoring becomes an issue necessary for designing a realistic value model. The research question addressed in this paper is how value network models could be designed with a preventive monitoring organization. We therefore propose a monitoring task ontology and five agency communication patterns for this end. The ontology blends principles of Multiple Agency, Speech Acts, Enterprise Ontology and Value Modeling. We demonstrate the utility of the ontology with a case-based scenario from the Smart Metering markets, and a conformity-test supported by the e3value tool. The case scenario comes from the Directive 2009/72/EC of the European Parliament.",

keywords = "Agency theory, Ontology, Smart metering, Value networks",

author = "{de Alencar Silva}, Patr{\'i}cio and {Allah Bukhsh}, Faiza and {da Silva Reis}, Jefferson and {de Castro}, {Ang{\'e}lica F{\'e}lix}",

year = "2017",

doi = "10.1007/978-3-319-68066-8_7",

language = "English",

isbn = "9783319680651",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Economics of Grids, Clouds, Systems, and Services",

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de Alencar Silva, P, Allah Bukhsh, F, da Silva Reis, J & de Castro, AF 2017, Agency monitoring patterns for value networks. in JA Banares, C Pham & J Altmann (eds), Economics of Grids, Clouds, Systems, and Services: 14th International Conference, GECON 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10537 LNCS, Springer, pp. 81-93, 14th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2017, Biarritz, France, 19/09/17. https://doi.org/10.1007/978-3-319-68066-8_7

Agency monitoring patterns for value networks. / de Alencar Silva, Patrício; Allah Bukhsh, Faiza; da Silva Reis, Jefferson et al.
Economics of Grids, Clouds, Systems, and Services: 14th International Conference, GECON 2017, Proceedings. ed. / Jose Angel Banares; Congduc Pham; Jorn Altmann. Springer, 2017. p. 81-93 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10537 LNCS).

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

TY - GEN

T1 - Agency monitoring patterns for value networks

AU - de Alencar Silva, Patrício

AU - Allah Bukhsh, Faiza

AU - da Silva Reis, Jefferson

AU - de Castro, Angélica Félix

N1 - Conference code: 14

PY - 2017

Y1 - 2017

N2 - Value network models represent an arrangement of actors, activities and objects of business value configured to satisfy a market segment’s need. As some actors might act unreliably due to unpredicted weaknesses, opportunism that threat value co-creation, monitoring becomes an issue necessary for designing a realistic value model. The research question addressed in this paper is how value network models could be designed with a preventive monitoring organization. We therefore propose a monitoring task ontology and five agency communication patterns for this end. The ontology blends principles of Multiple Agency, Speech Acts, Enterprise Ontology and Value Modeling. We demonstrate the utility of the ontology with a case-based scenario from the Smart Metering markets, and a conformity-test supported by the e3value tool. The case scenario comes from the Directive 2009/72/EC of the European Parliament.

AB - Value network models represent an arrangement of actors, activities and objects of business value configured to satisfy a market segment’s need. As some actors might act unreliably due to unpredicted weaknesses, opportunism that threat value co-creation, monitoring becomes an issue necessary for designing a realistic value model. The research question addressed in this paper is how value network models could be designed with a preventive monitoring organization. We therefore propose a monitoring task ontology and five agency communication patterns for this end. The ontology blends principles of Multiple Agency, Speech Acts, Enterprise Ontology and Value Modeling. We demonstrate the utility of the ontology with a case-based scenario from the Smart Metering markets, and a conformity-test supported by the e3value tool. The case scenario comes from the Directive 2009/72/EC of the European Parliament.

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KW - Ontology

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DO - 10.1007/978-3-319-68066-8_7

M3 - Conference contribution

AN - SCOPUS:85032506375

SN - 9783319680651

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 81

EP - 93

BT - Economics of Grids, Clouds, Systems, and Services

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A2 - Pham, Congduc

A2 - Altmann, Jorn

PB - Springer

T2 - 14th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2017

Y2 - 19 September 2017 through 21 September 2017

ER -

de Alencar Silva P, Allah Bukhsh F, da Silva Reis J, de Castro AF. Agency monitoring patterns for value networks. In Banares JA, Pham C, Altmann J, editors, Economics of Grids, Clouds, Systems, and Services: 14th International Conference, GECON 2017, Proceedings. Springer. 2017. p. 81-93. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-68066-8_7

Agency monitoring patterns for value networks

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