Personalized Diet Web-Service: Business Modeling and Development

Vyacheslav D. Rudenko; Alexandr O. Ruban; Mikhail V. Kolesnikov; Alexey N. Arseniev; Tatyana G. Maximova

doi:10.1007/978-3-030-90318-3_28

Personalized Diet Web-Service: Business Modeling and Development

Vyacheslav D. Rudenko, Alexandr O. Ruban, Mikhail V. Kolesnikov^*, Alexey N. Arseniev, Tatyana G. Maximova

^*Corresponding author for this work

Not published at Aalto University

St. Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

It is stated that the FoodTech web-services market is actively developing, providing a wide variety of formats for fulfilling the client’s needs in individual diet planning. The aim of the work is an overview of the process of business modeling and designing a web service that provides personalized recommendations on an individual diet planning based on the results of the DNA test interpretation. Within the analysis of the adjacent markets, potential competitors were carried out, as well as the target audience of the web service was identified. A general model of the web service and the format for providing services have been obtained, key advantages in comparison with competitive services have been identified. The description of the minimum viable product (MVP) is presented in the form of a business model, a work plan, a list of necessary resources, and required technologies.

Original language	English
Title of host publication	Software Engineering Application in Informatics - Proceedings of 5th Computational Methods in Systems and Software 2021
Editors	Radek Silhavy, Petr Silhavy, Zdenka Prokopova
Publisher	Springer
Pages	320-332
Number of pages	13
ISBN (Print)	9783030903176
DOIs	https://doi.org/10.1007/978-3-030-90318-3_28
Publication status	Published - 2021
MoE publication type	A4 Conference publication
Event	Computational Methods in Systems and Software - Virtual, Online Duration: 1 Oct 2021 → 1 Oct 2021 Conference number: 5

Publication series

Name	Lecture Notes in Networks and Systems
Volume	232 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Computational Methods in Systems and Software
Abbreviated title	CoMeSySo
City	Virtual, Online
Period	01/10/2021 → 01/10/2021

Keywords

Bioinformatics
Business model
Business process
Design
Digital transformation
Foodtech
Genetic data
Market analysis
Minimum viable product
Personalized nutrition
Web service

Access to Document

10.1007/978-3-030-90318-3_28

Cite this

Rudenko, V. D., Ruban, A. O., Kolesnikov, M. V., Arseniev, A. N., & Maximova, T. G. (2021). Personalized Diet Web-Service: Business Modeling and Development. In R. Silhavy, P. Silhavy, & Z. Prokopova (Eds.), Software Engineering Application in Informatics - Proceedings of 5th Computational Methods in Systems and Software 2021 (pp. 320-332). (Lecture Notes in Networks and Systems; Vol. 232 LNNS). Springer. https://doi.org/10.1007/978-3-030-90318-3_28

Rudenko, Vyacheslav D. ; Ruban, Alexandr O. ; Kolesnikov, Mikhail V. et al. / Personalized Diet Web-Service: Business Modeling and Development. Software Engineering Application in Informatics - Proceedings of 5th Computational Methods in Systems and Software 2021. editor / Radek Silhavy ; Petr Silhavy ; Zdenka Prokopova. Springer, 2021. pp. 320-332 (Lecture Notes in Networks and Systems).

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abstract = "It is stated that the FoodTech web-services market is actively developing, providing a wide variety of formats for fulfilling the client{\textquoteright}s needs in individual diet planning. The aim of the work is an overview of the process of business modeling and designing a web service that provides personalized recommendations on an individual diet planning based on the results of the DNA test interpretation. Within the analysis of the adjacent markets, potential competitors were carried out, as well as the target audience of the web service was identified. A general model of the web service and the format for providing services have been obtained, key advantages in comparison with competitive services have been identified. The description of the minimum viable product (MVP) is presented in the form of a business model, a work plan, a list of necessary resources, and required technologies.",

keywords = "Bioinformatics, Business model, Business process, Design, Digital transformation, Foodtech, Genetic data, Market analysis, Minimum viable product, Personalized nutrition, Web service",

author = "Rudenko, {Vyacheslav D.} and Ruban, {Alexandr O.} and Kolesnikov, {Mikhail V.} and Arseniev, {Alexey N.} and Maximova, {Tatyana G.}",

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year = "2021",

doi = "10.1007/978-3-030-90318-3_28",

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isbn = "9783030903176",

series = "Lecture Notes in Networks and Systems",

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Rudenko, VD, Ruban, AO, Kolesnikov, MV, Arseniev, AN & Maximova, TG 2021, Personalized Diet Web-Service: Business Modeling and Development. in R Silhavy, P Silhavy & Z Prokopova (eds), Software Engineering Application in Informatics - Proceedings of 5th Computational Methods in Systems and Software 2021. Lecture Notes in Networks and Systems, vol. 232 LNNS, Springer, pp. 320-332, Computational Methods in Systems and Software, Virtual, Online, 01/10/2021. https://doi.org/10.1007/978-3-030-90318-3_28

Personalized Diet Web-Service: Business Modeling and Development. / Rudenko, Vyacheslav D.; Ruban, Alexandr O.; Kolesnikov, Mikhail V. et al.
Software Engineering Application in Informatics - Proceedings of 5th Computational Methods in Systems and Software 2021. ed. / Radek Silhavy; Petr Silhavy; Zdenka Prokopova. Springer, 2021. p. 320-332 (Lecture Notes in Networks and Systems; Vol. 232 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Rudenko, Vyacheslav D.

AU - Ruban, Alexandr O.

AU - Kolesnikov, Mikhail V.

AU - Arseniev, Alexey N.

AU - Maximova, Tatyana G.

N1 - Conference code: 5

PY - 2021

Y1 - 2021

N2 - It is stated that the FoodTech web-services market is actively developing, providing a wide variety of formats for fulfilling the client’s needs in individual diet planning. The aim of the work is an overview of the process of business modeling and designing a web service that provides personalized recommendations on an individual diet planning based on the results of the DNA test interpretation. Within the analysis of the adjacent markets, potential competitors were carried out, as well as the target audience of the web service was identified. A general model of the web service and the format for providing services have been obtained, key advantages in comparison with competitive services have been identified. The description of the minimum viable product (MVP) is presented in the form of a business model, a work plan, a list of necessary resources, and required technologies.

AB - It is stated that the FoodTech web-services market is actively developing, providing a wide variety of formats for fulfilling the client’s needs in individual diet planning. The aim of the work is an overview of the process of business modeling and designing a web service that provides personalized recommendations on an individual diet planning based on the results of the DNA test interpretation. Within the analysis of the adjacent markets, potential competitors were carried out, as well as the target audience of the web service was identified. A general model of the web service and the format for providing services have been obtained, key advantages in comparison with competitive services have been identified. The description of the minimum viable product (MVP) is presented in the form of a business model, a work plan, a list of necessary resources, and required technologies.

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KW - Business model

KW - Business process

KW - Design

KW - Digital transformation

KW - Foodtech

KW - Genetic data

KW - Market analysis

KW - Minimum viable product

KW - Personalized nutrition

KW - Web service

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DO - 10.1007/978-3-030-90318-3_28

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BT - Software Engineering Application in Informatics - Proceedings of 5th Computational Methods in Systems and Software 2021

A2 - Silhavy, Radek

A2 - Silhavy, Petr

A2 - Prokopova, Zdenka

PB - Springer

T2 - Computational Methods in Systems and Software

Y2 - 1 October 2021 through 1 October 2021

ER -

Rudenko VD, Ruban AO, Kolesnikov MV, Arseniev AN, Maximova TG. Personalized Diet Web-Service: Business Modeling and Development. In Silhavy R, Silhavy P, Prokopova Z, editors, Software Engineering Application in Informatics - Proceedings of 5th Computational Methods in Systems and Software 2021. Springer. 2021. p. 320-332. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-90318-3_28

Personalized Diet Web-Service: Business Modeling and Development

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Keywords

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