Standard

A Dynamic Pricing Model for Software Products Incorporating Human Experiences. / Saltan, Andrey; Nikula, Uolevi; Seffah, Ahmed; Yurkov, Alexander.

In: Lecture Notes in Business Information Processing, Vol. 240, 2016, p. 135-144.

Research output: Contribution to journal › Article › peer-review

Harvard

Saltan, A, Nikula, U, Seffah, A & Yurkov, A 2016, 'A Dynamic Pricing Model for Software Products Incorporating Human Experiences', Lecture Notes in Business Information Processing, vol. 240, pp. 135-144. <http://link.springer.com/chapter/10.1007/978-3-319-40515-5_10>

APA

Saltan, A., Nikula, U., Seffah, A., & Yurkov, A. (2016). A Dynamic Pricing Model for Software Products Incorporating Human Experiences. Lecture Notes in Business Information Processing, 240, 135-144. http://link.springer.com/chapter/10.1007/978-3-319-40515-5_10

Vancouver

Saltan A, Nikula U, Seffah A, Yurkov A. A Dynamic Pricing Model for Software Products Incorporating Human Experiences. Lecture Notes in Business Information Processing. 2016;240:135-144.

Author

Saltan, Andrey ; Nikula, Uolevi ; Seffah, Ahmed ; Yurkov, Alexander. / A Dynamic Pricing Model for Software Products Incorporating Human Experiences. In: Lecture Notes in Business Information Processing. 2016 ; Vol. 240. pp. 135-144.

BibTeX

@article{0c1b32dfca38442096556c9fa1bda55f,
title = "A Dynamic Pricing Model for Software Products Incorporating Human Experiences",
abstract = "At the age of software as a service (SasS) and cloud computing as compared to what is used to be earlier, designing product strategies is a challenging concern for software product management researchers. Comparative statics models are considered to identify software market characteristics while assessing the managerial decisions during the software product strategy design. However, their applicability in dynamic market analysis is rather limited. Important concerns in dynamic market such as dynamic pricing cannot be fully estimated. This motivated the development of a simulation-based dynamic model to evaluate the efficiency and effectiveness of using different pricing models. The proposed (simulation) approach given in details in this paper can be used in conducting complex analysis of software product strategy that involves consideration of product strategy as a portfolio of interrelated solutions rather than a set of independent managerial decisions.",
keywords = "Software product strategy, Software market, Decision making, Pricing model, Simulation model",
author = "Andrey Saltan and Uolevi Nikula and Ahmed Seffah and Alexander Yurkov",
year = "2016",
language = "English",
volume = "240",
pages = "135--144",
journal = "Lecture Notes in Business Information Processing",
issn = "1865-1348",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - A Dynamic Pricing Model for Software Products Incorporating Human Experiences

AU - Saltan, Andrey

AU - Nikula, Uolevi

AU - Seffah, Ahmed

AU - Yurkov, Alexander

PY - 2016

Y1 - 2016

N2 - At the age of software as a service (SasS) and cloud computing as compared to what is used to be earlier, designing product strategies is a challenging concern for software product management researchers. Comparative statics models are considered to identify software market characteristics while assessing the managerial decisions during the software product strategy design. However, their applicability in dynamic market analysis is rather limited. Important concerns in dynamic market such as dynamic pricing cannot be fully estimated. This motivated the development of a simulation-based dynamic model to evaluate the efficiency and effectiveness of using different pricing models. The proposed (simulation) approach given in details in this paper can be used in conducting complex analysis of software product strategy that involves consideration of product strategy as a portfolio of interrelated solutions rather than a set of independent managerial decisions.

AB - At the age of software as a service (SasS) and cloud computing as compared to what is used to be earlier, designing product strategies is a challenging concern for software product management researchers. Comparative statics models are considered to identify software market characteristics while assessing the managerial decisions during the software product strategy design. However, their applicability in dynamic market analysis is rather limited. Important concerns in dynamic market such as dynamic pricing cannot be fully estimated. This motivated the development of a simulation-based dynamic model to evaluate the efficiency and effectiveness of using different pricing models. The proposed (simulation) approach given in details in this paper can be used in conducting complex analysis of software product strategy that involves consideration of product strategy as a portfolio of interrelated solutions rather than a set of independent managerial decisions.

KW - Software product strategy

KW - Software market

KW - Decision making

KW - Pricing model

KW - Simulation model

M3 - Article

VL - 240

SP - 135

EP - 144

JO - Lecture Notes in Business Information Processing

JF - Lecture Notes in Business Information Processing

SN - 1865-1348

ER -

ID: 7616726