ACHIEVING BIG DATA DECISION-MAKING QUALITY THROUGH DIGITAL LEADERSHIP AND KNOWLEDGE SHARING AT TRANSFER POINT IN BIG DATA CHAIN.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F22%3A63551578" target="_blank" >RIV/70883521:28120/22:63551578 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

ACHIEVING BIG DATA DECISION-MAKING QUALITY THROUGH DIGITAL LEADERSHIP AND KNOWLEDGE SHARING AT TRANSFER POINT IN BIG DATA CHAIN.

Popis výsledku v původním jazyce

Providing a mechanism to boost quality data-based decision making through big data analytics which is among the objectives of industry 4.0 by optimizing human or employee capabilities is the main purpose of current study. Interrelated theoretical lens of dynamic capability view andstrategic alignment model is used. Data from 305 top manager related to FMCG sector in Pakistan representing south Asian region is analyse by applying structural equation modelling through SMRTPLS. Results provide support in favour of presented mechanism that knowledge sharing mediates the relationship among digital leadership and big data analytics positively which shows positive impact on data-based decision-making quality. Results show that human or employee factors are crucial for achieving big data analytics and big data decision making quality. Without addressing these human or employee factors, big data analytics and big data decision-making quality will not be achieved and implementation of big data solutions in its true sense will remains a dream. Current study contributes towards dynamic capability view and strategic alignment model. Organizations can build alignment among strategic, operational and technical level through its dynamic capabilities at strategic, operational and technical level. Organization has to focus on enhancing their capabilities at all level so that organization may have strategic alignment at all level. Once the organizations have alignment in them at all level their big data decision making quality will improve to great extent and that has been proof by current study data analysis.

Název v anglickém jazyce

ACHIEVING BIG DATA DECISION-MAKING QUALITY THROUGH DIGITAL LEADERSHIP AND KNOWLEDGE SHARING AT TRANSFER POINT IN BIG DATA CHAIN.

Popis výsledku anglicky

Providing a mechanism to boost quality data-based decision making through big data analytics which is among the objectives of industry 4.0 by optimizing human or employee capabilities is the main purpose of current study. Interrelated theoretical lens of dynamic capability view andstrategic alignment model is used. Data from 305 top manager related to FMCG sector in Pakistan representing south Asian region is analyse by applying structural equation modelling through SMRTPLS. Results provide support in favour of presented mechanism that knowledge sharing mediates the relationship among digital leadership and big data analytics positively which shows positive impact on data-based decision-making quality. Results show that human or employee factors are crucial for achieving big data analytics and big data decision making quality. Without addressing these human or employee factors, big data analytics and big data decision-making quality will not be achieved and implementation of big data solutions in its true sense will remains a dream. Current study contributes towards dynamic capability view and strategic alignment model. Organizations can build alignment among strategic, operational and technical level through its dynamic capabilities at strategic, operational and technical level. Organization has to focus on enhancing their capabilities at all level so that organization may have strategic alignment at all level. Once the organizations have alignment in them at all level their big data decision making quality will improve to great extent and that has been proof by current study data analysis.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

DOKBAT 2022 - 18th International Bata Conference for Ph.D. Students and Young Researchers

ISBN

978-80-7678-101-6

ISSN

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e-ISSN

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Počet stran výsledku

11

Strana od-do

388-398

Název nakladatele

Fakulta managementu a ekonomiky, UTB ve Zlíně

Místo vydání

Zlín

Místo konání akce

Zlín

Datum konání akce

14. 9. 2022

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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