Management of household expenditure by using value decomposition technique

Taujanskaitė, Kamilė; Milčius, Eugenijus

Use this url to cite publication: https://hdl.handle.net/20.500.14911/114893

Management of household expenditure by using value decomposition technique

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

VILNIUS TECH Research Priorities and Topics

Aukštos pridėtinės vertės ekonomika / High value-added economy (VE01)

Lithuanian Intelligent Specialization

Įtrauki ir kūrybinga visuomenė / Inclusive and creative society (L103)

Author(s)

Author	Affiliation
Taujanskaitė, Kamilė	Finansų inžinerijos katedra / Department of Financial Engineering (1148)
Milčius, Eugenijus	Kauno technologijos universitetas

Title

Management of household expenditure by using value decomposition technique

[en]

Kamilė Taujanskaitė, Eugenijus Milčius

Is part of

1st International Conference on Business Management, July 2nd - 3rd, 2015, Valencia (Spain) : conference proceeding

Published In

Year	Start Page	End Page
2015	1	4

Publisher

Valencia : Universitat Politècnica de València, 2015

Extent

p. 1-4

URI

URI	Access Rights
https://hdl.handle.net/20.500.14911/114893
https://riunet.upv.es/bitstream/handle/10251/57770/1st%20INTERNATIONAL%20CONFERENCE%20ON%20BUSINESS%20MANAGEMENT%20-%20%E2%80%9CNEW%20CHALLENGES%20IN%20BUSINESS%20RESEARCH%E2%80%9D%20-%20Conference%20Proceedings_6224.pdf?sequence=1	Renginio puslapis / Event Website

Cited references

Science / Art Area

Socialiniai mokslai / Social sciences (S)

Field of Science / Art

Ekonomika / Economics (S004)

Keywords (en)

Abstract (en)

The aim of the paper is to provide the financial decision making mechanisms used by households for management their expenditure with the mathematical proof enabling quantitative evaluation of purchase alternatives through vector decomposition of the aggregate value of goods and/or services. The match between the properties of goods purchased and the specific consumers’ needs represented by the vector of his preferences is expressed by comparing spatial orientation of the two vectors in “n” dimensional space, where “n” is a number of non-substitute value components important for the consumer. A method for calculation of spatial angle between the vectors is presented for the 3- dimentional space.