RETRACTED ARTICLE: The complementarities of big data and intellectual capital on sustainable value creation; collective intelligence approach

Gul, Raazia; Ellahi, Nazima; Al‐Faryan, Mamdouh Abdulaziz Saleh

doi:10.1007/s10479-021-04338-z

Cited by 7 publications

(11 citation statements)

References 65 publications

(93 reference statements)

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“…The results of our study also demonstrate that BDC is indirectly associated with SIP, mediated by the three components of intellectual capital: HC, SC, and RC. This finding echoes the call to investigate how BDC can enhance sustainable value creation through IC (Gul et al, 2021). Our results suggest that the potential for sustainable value creation can only be realized through the organization's "collective intelligence" with a focus on developing professional knowledge capabilities (Suárez Bar on et al, 2018).…”

Section: The Pls-sem Findingssupporting

confidence: 76%

“…Third, this study provides important contributions to the integration of BDC in the research of IC research, as scholars have called for (Secundo et al, 2017;Gravili et al, 2021;Gul et al, 2021). Specifically, the study offers empirical evidence of how BDC can contribute to developing IC and creating sustainable value for long-term corporate survival.…”

Section: Theoretical Implicationsmentioning

confidence: 95%

“…The inertia of organizational learning can be overcome with IC prolonging and preventing resource obsolescence (Baši c, 2021;Tu & Wu, 2021). IC is formed when the knowledge is embedded in the organization (Gul et al, 2021) and its improvement will further affect the innovation performance (Secundo et al, 2020). A flexible organization needs human capital (HC) to adapt knowledge and skills, structural capital (SC) to support the organizations' function, and relational capital (RC) to share within organizations.…”

Section: Organizational Learning Theorymentioning

confidence: 99%

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Big Data capability and sustainability oriented innovation: The mediating role of intellectual capital

et al. 2023

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The past decade has seen the rapid emergence of research on Big Data and its implications in our society, yet research on its impact on organizations' sustainability challenges is still at an early stage. Based on the organizational learning theory, we develop a framework to investigate the effects of Big Data capability (BDC) and further intellectual capital on a firm's sustainability‐oriented innovation performance (SIP). Using a multi‐source data collected from 358 Chinese firms, we tested our proposed hypotheses using the partial least squares‐structural equation modeling (PLS‐SEM) and the fuzzy‐set qualitative comparative analysis (fsQCA). The results show that BDC is positively related to SIP and economic innovation performance (EIP), mediated by intellectual capital. The fsQCA results further reveal that three configurative combinations, that is, “external capability‐internal resource promotion,” “external capability and relationship building help,” and “external relationship collaboration compensation,” can lead to high SIP. This study provides new insights for firms to develop sustainability‐oriented innovation and to coordinate sustainability innovation and economic innovation practices in order to create balanced outcomes.

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Section: The Pls-sem Findingssupporting

confidence: 76%

Section: Theoretical Implicationsmentioning

confidence: 95%

Section: Organizational Learning Theorymentioning

confidence: 99%

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Big Data capability and sustainability oriented innovation: The mediating role of intellectual capital

et al. 2023

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“…The second line of research addresses the role of employee competences (Akhtar et al , 2018; Gul et al , 2021) and organisational processes in ensuring the ethical, sustainable and secure use of BD. Drawing on a normal accident theory, Nunan and Di Domenico (2017) emphasise the role of human action as a cause of data-related ethical and security problems and call for strengthening organisational practices to prevent employees from accidental data leaks and security breaches.…”

Section: Analysis and Resultsmentioning

confidence: 99%

Corporate accountability and big data analytics: is non-financial disclosure a missing link?

Agostini

Arkhipova

Mio

2023

SAMPJ

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Purpose This paper aims to identify, synthesise and critically examine the extant academic research on the relation between big data analytics (BDA), corporate accountability and non-financial disclosure (NFD) across several disciplines. Design/methodology/approach This paper uses a structured literature review methodology and applies “insight-critique-transformative redefinition” framework to interpret the findings, develop critique and formulate future research directions. Findings This paper identifies and critically examines 12 research themes across four macro categories. The insights presented in this paper indicate that the nature of the relationship between BDA and accountability depends on whether an organisation considers BDA as a value creation instrument or as a revenue generation source. This paper discusses how NFD can effectively increase corporate accountability for ethical, social and environmental consequences of BDA. Practical implications This paper presents the results of a structured literature review exploring the state-of-the-art of academic research on the relation between BDA, NFD and corporate accountability. This paper uses a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria. This paper also presents a series of actionable insights of how corporate accountability for the use of big data and algorithmic decision-making can be enhanced. Social implications This paper discusses how NFD can reduce negative social and environmental impact stemming from the corporate use of BDA. Originality/value To the best of the authors’ knowledge, this paper is the first one to provide a comprehensive synthesis of academic literature, identify research gaps and outline a prospective research agenda on the implications of big data technologies for NFD and corporate accountability along social, environmental and ethical dimensions.

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“…Students' feelings of relatedness (i.e., feeling connected to others) are crucially important for success in any learning environment (Butz & Stupnisky, 2017 ). Superior capacity is formed when distributed individuals work together with the technology assistance to gather new insights, ideas and information to solve an issue (Gul et al, 2021 ).…”

Section: Methodological Frameworkmentioning

confidence: 99%

Network analysis of gratitude messages in the learning community

Yoshida

2022

Int J Educ Technol High Educ

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In pedagogical practice, gratitude is recognised not as an emotion, but as an approach to learning. This study introduced gratitude messages into the academic online communication of university students and specifically examined the community in which students shared their messages with gratitude. This study examined the tendency of message connections and how gratitude messages prompted replies. To elucidate their connections, exponential random graph models (ERGMs) were used. A post-event questionnaire to evaluate gratitude experiences was also administered. Results revealed that 77.3% of the 172 connected messages from 123 students involved gratitude. When the post-event questionnaire results were examined using an ERGM, the score effects on increasing message connections were found not to be significant. The most prominent indication was a higher level of significant propensities to make mutual connections. The homophily of the message content was found to have a significant propensity to increase connections. The ERGM results and a review of messages revealed that students expressed gratitude for being both benefactors and beneficiaries of gratitude messages, which confirmed their prosocial behaviour.

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RETRACTED ARTICLE: The complementarities of big data and intellectual capital on sustainable value creation; collective intelligence approach

Cited by 7 publications

References 65 publications

Big Data capability and sustainability oriented innovation: The mediating role of intellectual capital

Big Data capability and sustainability oriented innovation: The mediating role of intellectual capital

Corporate accountability and big data analytics: is non-financial disclosure a missing link?

Network analysis of gratitude messages in the learning community

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