Drivers for Smart Servitization in Manufacturing Companies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14220%2F18%3A00104405" target="_blank" >RIV/00216224:14220/18:00104405 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26510/18:PU129016

Výsledek na webu

<a href="http://dx.doi.org/10.7160/aol.2018.100305" target="_blank" >http://dx.doi.org/10.7160/aol.2018.100305</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7160/aol.2018.100305" target="_blank" >10.7160/aol.2018.100305</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Drivers for Smart Servitization in Manufacturing Companies

Popis výsledku v původním jazyce

Wireless communication technologies associated with the Internet of things (IoT) have started to be used also in manufacturing. Developing data-driven services by IoT also known as “smart services” in manufacturing business has become one of the current trends. Sensors enable IoT systems to provide intelligent and smart services during the shift towards smart production. Smart technologies have begun to be used also in agriculture by means of agricultural and farming applications. The aim of the paper is to determine why manufacturing companies have started to provide smart services with their products. A literature review presents the background of smart services in manufacturing companies as well in agriculture. For the empirical part, a qualitative multi-case study was conducted among seven Czech electrotechnical manufacturers and one Czech agricultural tractor manufacturer. All case companies have already begun with their smart service development. The findings indicate that manufactures usually decide by themselves to start with smart servitization, but the main categories of smart servitization drivers are connected to competitive advantage. The study is unique in highlighting the problems of smart services in SMEs in the Czech Republic, where the industrial sector is still dominant in comparison to other European countries.

Název v anglickém jazyce

Drivers for Smart Servitization in Manufacturing Companies

Popis výsledku anglicky

Wireless communication technologies associated with the Internet of things (IoT) have started to be used also in manufacturing. Developing data-driven services by IoT also known as “smart services” in manufacturing business has become one of the current trends. Sensors enable IoT systems to provide intelligent and smart services during the shift towards smart production. Smart technologies have begun to be used also in agriculture by means of agricultural and farming applications. The aim of the paper is to determine why manufacturing companies have started to provide smart services with their products. A literature review presents the background of smart services in manufacturing companies as well in agriculture. For the empirical part, a qualitative multi-case study was conducted among seven Czech electrotechnical manufacturers and one Czech agricultural tractor manufacturer. All case companies have already begun with their smart service development. The findings indicate that manufactures usually decide by themselves to start with smart servitization, but the main categories of smart servitization drivers are connected to competitive advantage. The study is unique in highlighting the problems of smart services in SMEs in the Czech Republic, where the industrial sector is still dominant in comparison to other European countries.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50200 - Economics and Business

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Agris on-line Papers in Economics and Informatics

ISSN

1804-1930

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

12

Strana od-do

57-68

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85056268582