Big data analytics capability and decision making performance in emergingmarket firms: The role of contractual and relational governance mechanisms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F20%3A63525240" target="_blank" >RIV/70883521:28120/20:63525240 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0040162520311410?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0040162520311410?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.techfore.2020.120315" target="_blank" >10.1016/j.techfore.2020.120315</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Big data analytics capability and decision making performance in emergingmarket firms: The role of contractual and relational governance mechanisms

Popis výsledku v původním jazyce

This study examines the role of big data contractual and relational governance in big data decision-makingperformance of firms based in China. It investigates the mediation of big data analytics (BDA) capability in theassociation of contractual and relational governance with decision-making performance. Furthermore, moder-ating role of data-driven culture in the relationship of BDA capability and decision-making performance is ex-amined. Data are collected from 108 Chinese firms engaged in big data-related activities. Structural equationmodeling is employed to test the hypotheses. This study contributes towards the literature on big data man-agement and governance mechanisms, by establishing the relationship of decision-making performance with bigdata contractual and relational governance directly and through the mediation of BDA capabilities. It alsocontributes towards knowledge based dynamic capabilities (KBDCs) view of firms, arguing that dynamic cap-abilities such as BDA capabilities can be influenced through knowledge sources and activities. We add to thediscussions on whether contractual and relational governance are alternatives or they complement each other,by establishing the moderating role of big data relational governance in the relationship of contractual gov-ernance and decision-making performance. Finally, we argue that social capital can enhance KBDCs throughcontractual and relational governance in big data context.

Název v anglickém jazyce

Big data analytics capability and decision making performance in emergingmarket firms: The role of contractual and relational governance mechanisms

Popis výsledku anglicky

This study examines the role of big data contractual and relational governance in big data decision-makingperformance of firms based in China. It investigates the mediation of big data analytics (BDA) capability in theassociation of contractual and relational governance with decision-making performance. Furthermore, moder-ating role of data-driven culture in the relationship of BDA capability and decision-making performance is ex-amined. Data are collected from 108 Chinese firms engaged in big data-related activities. Structural equationmodeling is employed to test the hypotheses. This study contributes towards the literature on big data man-agement and governance mechanisms, by establishing the relationship of decision-making performance with bigdata contractual and relational governance directly and through the mediation of BDA capabilities. It alsocontributes towards knowledge based dynamic capabilities (KBDCs) view of firms, arguing that dynamic cap-abilities such as BDA capabilities can be influenced through knowledge sources and activities. We add to thediscussions on whether contractual and relational governance are alternatives or they complement each other,by establishing the moderating role of big data relational governance in the relationship of contractual gov-ernance and decision-making performance. Finally, we argue that social capital can enhance KBDCs throughcontractual and relational governance in big data context.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Technological Forecasting &amp; Social Change

ISSN

0040-1625

e-ISSN

—

Svazek periodika

161

Číslo periodika v rámci svazku

120315

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

000597125800007

EID výsledku v databázi Scopus

2-s2.0-85091330679