Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model

Rialti, Riccardo; Zollo, Lamberto; Ferraris, Alberto; Alon, Ilan

doi:10.1016/j.techfore.2019.119781

Cited by 305 publications

(261 citation statements)

References 77 publications

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“…They need to focus on increasing big data rather than BDAC to successfully develop innovative service products. As Rialti et al [35], Gupta and George [10], and Ferraris et al [11] have also found, even if there are limited big data resources, increasing BDAC can enable project leaders to integrate and internalize existing big data information to improve the sustainable innovativeness of projects.…”

Section: Discussionmentioning

confidence: 99%

“…Third, BDAC promotes the improvement of innovativeness of firms [16]. Rialti et al [35] pointed out that BDAC can help firms to reintegrate existing resources and routines to discover and take advantage of new opportunities and develop innovative solutions to positively influence the innovation of firms. Fourth, BDAC can change business processes and management modes, promote effective allocation and control of resources, and realize business model innovation [17,30].…”

Section: Big Data Analytics Capability (Bdac)mentioning

confidence: 99%

“…Finally, this study enriches the theory of cross-national big data management. Previous research on big data and BDAC has mostly focused on the data of a single country [3,17,35]. In this study we conducted a comparative analysis across three countries.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

See 2 more Smart Citations

Creating Sustainable Innovativeness through Big Data and Big Data Analytics Capability: From the Perspective of the Information Processing Theory

2020

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Service innovativeness is a key sustainable competitive advantage that increases sustainability of enterprise development. Literature suggests that big data and big data analytics capability (BDAC) enhance sustainable performance. Yet, no studies have examined how big data and BDAC affect service innovativeness. To fill this research gap, based on the information processing theory (IPT), we examine how fits and misfits between big data and BDAC affect service innovativeness. To increase cross-national generalizability of the study results, we collected data from 1403 new service development (NSD) projects in the United States, China and Singapore. Dummy regression method was used to test the model. The results indicate that for all three countries, high big data and high BDAC has the greatest effect on sustainable innovativeness. In China, fits are always better than misfits for creating sustainable innovativeness. In the U.S., high big data is always better for increasing sustainable innovativeness than low big data is. In contrast, in Singapore, high BDAC is always better for enhancing sustainable innovativeness than low BDAC is. This study extends the IPT and enriches cross-national research of big data and BDAC. We conclude the article with suggestions of research limitations and future research directions.

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Section: Discussionmentioning

confidence: 99%

Section: Big Data Analytics Capability (Bdac)mentioning

confidence: 99%

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Creating Sustainable Innovativeness through Big Data and Big Data Analytics Capability: From the Perspective of the Information Processing Theory

2020

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“…Despite this growing attention, however, scant attention has been paid to holistic investigation of the strategic use of big data and BDA in modern organizations (Davenport et al, 2015;Erevelles et al, 2016;Rialti et al, 2019a;Rialti et al, 2019b). In detail, while several papers have observed how BDA capabilities (personal, managerial and infrastructural capabilities) could affect organizational performance, literature is still missing a comprehensive view of the impact that more skilled personnel could have on the overall organization.…”

Section: The Reshaping Role Of Big Data In Modern Organizationmentioning

confidence: 99%

Assessing the Impact of Big Data on Large Organizations’ Strategies

Rialti¹,

Faraoni²,

Zollo³

et al. 2019

Symphonya. Emerging Issues in Management

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Big data and big data analytics' (BDA) importance for business management is growing at an unmatched pace. Such datasets, and the techniques to analyse them, are indeed able to inundate organizations with huge quantities of precious information. Building on this premise, the purpose of this research is to develop a unitary holistic framework on the strategic impact of big data on large organizations. In order to do so, a cognitive map was developed from a coding analysis of 523 job offers on the European labour market coming from 124 large organizations. The results show the effects of big data and BDA on marketing strategies, strategic business intelligence and, finally, operation and supply chain management.

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“…Big data, once it appeared, has the power to show amazing methods instead of traditional ways of doing business, as well as the management of organizational knowledge [1]. Due to the advent of big data, managers today understand their enterprise, their surroundings, their customers and their competitors better.…”

Section: Introductionmentioning

confidence: 99%

Extracting knowledge patterns in a data lake for management effectiveness

Cheng

Wang

2020

E3S Web Conf.

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With the correlation collision between different types of data becomes more and more intense, a meaningful and far-reaching data revolution has arrived. Enterprises urgently require a hybrid data platform that can effectively break data silos, and unify data aggregation and sharing. Once the data lake was born, it has been a promising method for enterprises to profoundly improve their Business Intelligence. In this paper, we combine principle component analysis (PCA) with a network-based approach to extract a visual knowledge pattern from data sources in data lake, so as to improve management effectiveness.

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Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model

Cited by 305 publications

References 77 publications

Creating Sustainable Innovativeness through Big Data and Big Data Analytics Capability: From the Perspective of the Information Processing Theory

Creating Sustainable Innovativeness through Big Data and Big Data Analytics Capability: From the Perspective of the Information Processing Theory

Assessing the Impact of Big Data on Large Organizations’ Strategies

Extracting knowledge patterns in a data lake for management effectiveness

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