Unpacking the Role of Big Data Analytics Capability in Sustainable Business Performance: Insights from Digital Sustainability Reporting Readiness in Latvia

A fundamental debate among sustainable development researchers and practitioners is whether, and through what mechanisms, sustainability contributes to gaining a competitive advantage. To address this consideration, this study draws on the general systems theory (GST), organisational information processing theory (OIPT), resource-based theory and recent studies on big data analytics capability (BDAC), digitalisation, sustainability, digital sustainability reporting (DSR), and business performance. A comprehensive research model was developed to assess the interrelationships and mediating effects of the mentioned constructs; the analyses utilised a sample of 75 large Latvian organisations preparing for the first reporting under Corporate Sustainability Reporting Directive. The results obtained using partial least squares structural equation modelling contribute to the theory by revealing that digital sustainability reporting fully mediates the relationship between sustainability and business performance. Moreover, BDAC emerges as a fundamental enabler, forming the foundation of a “house” where digitainability and DSR serve as its walls and enhanced business performance as its roof. This study also contributes to the sustainability and sustainability accounting literature by presenting a sustainable business development framework that offers practical insights for organisations navigating the integration of sustainability reporting in highly uncertain environments.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-04-18
DOI
https://doi.org/10.3390/su17083666
Citations
4
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
9.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unpacking the Role of Big Data Analytics Capability in Sustainable Business Performance: Insights from Digital Sustainability Reporting Readiness in Latvia

Jekaterina Novicka
4 citations
Sustainability
Big Data and Business Intelligence
9.14
article

Unpacking the Role of Big Data Analytics Capability in Sustainable Business Performance: Insights from Digital Sustainability Reporting Readiness in Latvia

Jekaterina Novicka
article en
4 citations

Abstract

A fundamental debate among sustainable development researchers and practitioners is whether, and through what mechanisms, sustainability contributes to gaining a competitive advantage. To address this consideration, this study draws on the general systems theory (GST), organisational information processing theory (OIPT), resource-based theory and recent studies on big data analytics capability (BDAC), digitalisation, sustainability, digital sustainability reporting (DSR), and business performance. A comprehensive research model was developed to assess the interrelationships and mediating effects of the mentioned constructs; the analyses utilised a sample of 75 large Latvian organisations preparing for the first reporting under Corporate Sustainability Reporting Directive. The results obtained using partial least squares structural equation modelling contribute to the theory by revealing that digital sustainability reporting fully mediates the relationship between sustainability and business performance. Moreover, BDAC emerges as a fundamental enabler, forming the foundation of a “house” where digitainability and DSR serve as its walls and enhanced business performance as its roof. This study also contributes to the sustainability and sustainability accounting literature by presenting a sustainable business development framework that offers practical insights for organisations navigating the integration of sustainability reporting in highly uncertain environments.

SustainabilityVol. 17(8)
BA School of Business and Finance (LV)
Openalex Percentile: Top 3%
Big Data and Business Intelligence
9.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.