Big Data Computing Strategies

Jayanand, Malavika; Kumar, Madhurendra; Srinivasa, K. G.; Siddesh, G M

doi:10.4018/978-1-4666-9840-6.ch037

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Many mathematical and statistical techniques are used in big data analytics (Jayanand et al, 2015). The most used techniques are descriptive analytics, predictive analytics and prescriptive analytics (Deshpande et al, 2019).…”

Section: Intellectual Capital and Competitive Advantagementioning

confidence: 99%

Intellectual capital and innovation performance: the moderating role of big data analytics: evidence from the banking sector in Jordan

Al-Khatib¹

2022

EMJB

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PurposeThe purpose of this study is to identify the impact of intellectual capital on the innovation performance of the Jordanian banking sector and identify the moderating role of big data analytics.Design/methodology/approachFor this study's purposes, 333 questionnaires were analysed. Convergent validity, discriminant validity and reliability tests were performed through structural equation modelling (SEM) in the Smart-PLS program. A bootstrapping technique was used to analyse the data.FindingsEmpirical results showed that each of the components of intellectual capital and big data analytics explains 63.5% of the variance in innovation performance and that all components of intellectual capital have a statistically significant impact on innovation performance. The results also revealed that the relationship between structural capital and innovation performance is moderated through big data analytics.Research limitations/implicationsThis cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of its results, and the results are limited to one country.Practical implicationsThis study promotes the idea of focusing on components of intellectual capital to enhance innovation performance in the Jordanian banking sector and knowing the effect of big data analytics in this relationship.Social implicationsThis study makes recommendations for financial policymakers to improve the effectiveness of intellectual capital practices and innovation performance in the context of big data analytics.Originality/valueThis study has important implications for leaders in the Jordanian banking sector, in general, as the study highlights the importance of intellectual capital to enhance the innovation performance, especially in light of the big data analytics in this sector, and thus increase the innovative capabilities of this banks, which leads to an increase in the level of innovation.

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Section: Intellectual Capital and Competitive Advantagementioning

confidence: 99%

Intellectual capital and innovation performance: the moderating role of big data analytics: evidence from the banking sector in Jordan

Al-Khatib¹

2022

EMJB

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“…Initial evidence emerging from the literature attest of the opportunities, through BDA solutions, to greatly improve financial performance (Akter et al, 2016;Wamba et al, 2015Wamba et al, , 2017a. Results show that BDA solutions can improve Return On Investment for retailers (Wamba et al, 2017a), procurement processes (Bock and Isik, 2015), or ecommerce purchasing process completion (Jayanand et al, 2014).…”

Section: Effect Of the Business Value Of Bda Solutions On Firm Performentioning

confidence: 99%

Big data analytics business value and firm performance: linking with environmental context

Vitari

Raguseo

2019

International Journal of Production Research

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Big Data Management

Kasemsap

2017

International Journal of Organizational and Collective Intelligence

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The objective of this article is to provide the advanced issues and approaches of big data management. The literature review indicates the overview of big data management; the aspects of Big Data Analytics (BDA); the importance of big data management; the methods for big data management; the privacy and security concerns of big data management; and the big data management in the health care industry. Organizations that have been successful in working with effective big data management have accomplished this issue using data to help make sense of the information. The volume of data that companies are able to gather about customers and market conditions can provide business leaders with insights into new revenue and business opportunities, presuming they can spot the opportunities in vast amounts of data. The literature review analysis provides both practitioners and researchers an important understanding about big data management in modern organizations.

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Big Data Computing Strategies

Cited by 3 publications

References 1 publication

Intellectual capital and innovation performance: the moderating role of big data analytics: evidence from the banking sector in Jordan

Intellectual capital and innovation performance: the moderating role of big data analytics: evidence from the banking sector in Jordan

Big data analytics business value and firm performance: linking with environmental context

Big Data Management

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