The impact of big data analytics on organizational sustainability: The influencing factors of autonomous research and development and absorptive capacity

Arshad, Muhammad; Yu, Chen Kun; Qadir, Aneela; Ahmad, Waqar; Rafique, Muhammad Zahid

doi:10.1177/18479790221141537

Cited by 11 publications

(2 citation statements)

References 105 publications

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“…It makes firms optimize the technology to influence business sustainable performance. Advanced technological developments that transform business functions help firms achieve sustainable performance [ 45 ]. In today's era, digital exploration activities are the most efficient way of improving the firm's sustainable performance.…”

Section: Theoretical Background and Hypothesis Developmentmentioning

confidence: 99%

Digital transformation as the driving force for sustainable business performance: A moderated mediation model of market-driven business model innovation and digital leadership capabilities

Chen,

Li,

Shahid

2024

Heliyon

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Section: Theoretical Background and Hypothesis Developmentmentioning

confidence: 99%

Digital transformation as the driving force for sustainable business performance: A moderated mediation model of market-driven business model innovation and digital leadership capabilities

Chen,

Li,

Shahid

2024

Heliyon

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“…The literature stated that absorptive capacity mediates the relationship between BDA capabilities and strategic business value (Persaud and Zare, 2023). Arshad et al (2022) found that BDA capabilities positively impact absorptive capacity and mediate the relationship between BDA and organizational sustainable development. Understanding whether BDA capabilities enhance entrepreneurs' eco-business agenda and goals is crucial, especially in the existence of GAC.…”

Section: Green Absorptive Capacity Knowledge Sharing and Geomentioning

confidence: 99%

Do knowledge sharing and big data analytics capabilities matter for green absorptive capacity and green entrepreneurship orientation? Implications for green innovation

Makhloufi

2023

IMDS

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PurposeThis study is the first to examine how big data analytics (BDA) capabilities affect green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It uses the dynamic capability view, BDA and knowledge-sharing literature. There is a lack of studies addressing the BDA–GAC and BDA–GEO relationships and their potential impact on green innovation. Continuing the ongoing research discussion, a few studies examined the vital implications of knowledge sharing (KS) on GAC, GEO and green innovation.Design/methodology/approachThe study used a cross-sectional and stratified random sampling technique to collect data through self-administered surveys among Chinese manufacturing firm employees. The study applied SmartPLS to analyze the obtained data.FindingsThe findings revealed that BDA capabilities positively influence GAC and GEO. In addition, GEO and KS positively impact green innovation. The KS recorded a positive impact on GAC and GEO. Furthermore, GAC and GEO recorded a partial mediating effect.Practical implicationsThe study acknowledges that GAC is the backbone of a firm green entrepreneurial orientation, which needs to be aligned with BDA capabilities to anticipate future green business trends. GAC's help drives GEO's green business agenda. KS plays a strategic role in developing GAC, fostering GEO and improving green innovation.Originality/valueThe study highlights the necessity of aligning BDA capabilities to fit firms' GEO green business agendas. This study focuses on the role of BDA capabilities in developing firms' green dynamics capabilities (e.g. GAC), which helps GEO drive superior green business growth. KS develops GAC and boosts GEO to enhance green innovation.

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Advancing corporate sustainability via big data analytics, blockchain innovation, and organizational dynamics—A cross‐validated predictive approach

Xu,

Sarfraz,

Sun

et al. 2024

Bus Strat Env

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In today's business landscape, the paramount focus of firms is to achieve advanced corporate sustainability. This objective has led to the development of big data analytics, reliable big and cloud data analytics capabilities, and blockchain technology as powerful tools worldwide that have helped firms increase sustainable performance. Capitalizing on these technologies, this study provides new insight into the role data‐driven competitive sustainability, data‐driven culture, and organizational management information in steering firms' performance. Using a quantitative research approach, data was collected through a structured survey administered to managers and IT professionals across various industries. The relationships between the variables were analyzed using structural equation modeling (SEM), confirming that all proposed hypotheses were supported. The results demonstrate the significant positive impact of big data analytics capabilities, reliable big and cloud data analytics capabilities, and blockchain technology on corporate sustainable performance and data‐driven competitive sustainability. Furthermore, data‐driven competitive sustainability was found to mediate the relationships between BDA, RBCDA, blockchain technology, and corporate sustainable performance. Additionally, OMIS‐fit and data‐driven culture were identified as critical moderators that enhance the effects of these technological capabilities on competitive sustainability and corporate performance. These findings provide valuable insights for organizations seeking to leverage advanced technological capabilities to achieve a sustainable competitive advantage in emerging economies.

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The impact of big data analytics on organizational sustainability: The influencing factors of autonomous research and development and absorptive capacity

Cited by 11 publications

References 105 publications

Digital transformation as the driving force for sustainable business performance: A moderated mediation model of market-driven business model innovation and digital leadership capabilities

Digital transformation as the driving force for sustainable business performance: A moderated mediation model of market-driven business model innovation and digital leadership capabilities

Do knowledge sharing and big data analytics capabilities matter for green absorptive capacity and green entrepreneurship orientation? Implications for green innovation

Advancing corporate sustainability via big data analytics, blockchain innovation, and organizational dynamics—A cross‐validated predictive approach

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