Data Gained from Smart Services in SMEs–Pilot Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14220%2F19%3A00108917" target="_blank" >RIV/00216224:14220/19:00108917 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26510/18:PU128837
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-00211-4_18" target="_blank" >http://dx.doi.org/10.1007/978-3-030-00211-4_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-00211-4_18" target="_blank" >10.1007/978-3-030-00211-4_18</a>
Alternative languages
Result language
angličtina
Original language name
Data Gained from Smart Services in SMEs–Pilot Study
Original language description
Nowadays, manufacturing companies increasingly invest in servitization by adopting ‘smart services’ enabled by connected product-service systems enabling data exchange between the customer and the service provider. Managing the transition toward smart services is not easy, especially among SMEs as many businesses struggle with lack of money, insufficient digital technologies, unskilled employees or gathering and using the proper data. The research presented in this paper is divided into two parts. The quantitative part focuses on researching possible correlations between business performance and the use of company IT systems among sixty Czech electrotechnical SMEs. The other part consists of a qualitative multi-case study and was conducted among seven Czech electrotechnical SMEs which have already started with smart service development. The findings indicate that companies gather and use the data in very different ways. They provide information to their customers, but also use information for themselves. The study is unique in highlighting the problems of smart services in small and medium manufacturers. Moreover, it investigates the gathering and the data usage gained from smart services in SMEs.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50200 - Economics and Business
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CoMeSySo 2018: Computational and Statistical Methods in Intelligent Systems
ISBN
9783030002107
ISSN
2194-5357
e-ISSN
—
Number of pages
18
Pages from-to
183-200
Publisher name
Springer, Cham
Place of publication
Zlín
Event location
Zlín
Event date
Jan 1, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000502603900018