Data-driven Begins with DATA; Potential of Data Assets

Hannila, Hannu; Silvola, Risto; Härkönen, Janne; Haapasalo, Harri

doi:10.1080/08874417.2019.1683782

Cited by 32 publications

(30 citation statements)

References 38 publications

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“…Therefore, the literature has focused on firms' data-driven culture (DDC), which is described as the organizational culture directed towards sharing and exchanging knowledge within a firm among all organizational units and data-based decision-making (Ennouri and Mezghani, 2021). DDC allows employees inside the firm to take advantage of data outside the firm and transform it into useful information for the decision-making process as well as to develop innovations (Chatterjee et al, 2021;Islam et al, 2019) and create new CAs based on the data collected (Hannila et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Can big data analytics capabilities promote a competitive advantage? Green radical innovation, green incremental innovation and data-driven culture in a moderated mediation model

Al-Khatib¹

2022

BPMJ

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PurposeThis study explores the connection between big data analytics capabilities and the competitive advantage of the manufacturing sector in Jordan through the mediating role of green radical innovation and green incremental innovation as well as the moderating role of a data-driven culture.Design/methodology/approachFor the purpose of this study, 356 questionnaires were analysed. Convergent validity and discriminant validity tests were performed through structural equation modelling in the Smart-PLS programme, and the data reliability was confirmed. A bootstrapping technique was used to analyse the data. The mediating effect for green radical and green incremental innovation and the moderating effect for data-driven culture were performed.FindingsThe empirical results showed that the proposed moderated-mediation model was accepted because the relationships between the constructs were statistically significant. The results of the data analysis supported a positive relationship between big data analytics capabilities and the competitive advantage as well as a mediating effect of green radical innovation and green incremental innovation. It was confirmed that there is a moderating relationship for data-driven culture between green radical innovation, green incremental innovation and competitive advantage.Research limitations/implicationsThis cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalization of its results, and the results are limited to one country.Originality/valueThis research developed a theoretical model to incorporate big data analytics capabilities, green radical innovation, green incremental innovation, data-driven culture, and competitive advantage. This study provides new findings that bridge the existing research gap in the literature by testing the moderated mediation model with a focus on the organizational benefits of big data analytics capabilities to improve levels of green innovation and competitive advantage in the Jordanian manufacturing sector.

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Section: Introductionmentioning

confidence: 99%

“…, 2021; Islam et al. , 2019) and create new CAs based on the data collected (Hannila et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

Can big data analytics capabilities promote a competitive advantage? Green radical innovation, green incremental innovation and data-driven culture in a moderated mediation model

Al-Khatib¹

2022

BPMJ

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“…BA is recognized as a crucial company asset that encompasses people, processes, and technologies involved in the data gathering, analysis, and transformation to support managerial decisions [22]. The importance of data visualization and business analytics both in new product development (NDP) and project management has been widely discussed in the literature, in addition to the benefits in considering appropriate visualizations as part of the PPM process [23][24][25]. BA is considered a key element for helping decision makers and analysts throughout a project lifecycle [26].…”

Section: Business Analyticsmentioning

confidence: 99%

“…Finally, in today's organizations it is crucial to consider how the company information must be shared across the enterprise. Reporting based on siloed data, business applications, data warehouses, and analytics applications needs to be replaced, and the information must be used as the basis for any decision [25,37]. Organizations must reengineer all their data management practices, that previously were based on gut feeling and experience of key users, in order to ensure they are systematically supported by BA [34].…”

Section: Business Analyticsmentioning

confidence: 99%

Business Intelligence for IT Governance of a Technology Company

Biagi

Patriarca

Gravio

2021

Data

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Managers are required to make fast, reliable, and fact-based decisions to encompass the dynamicity of modern business environments. Data visualization and reporting are thus crucial activities to ensure a systematic organizational intelligence especially for technological companies operating in a fast-moving context. As such, this paper presents case-study research for the definition of a business intelligence model and related Key Performance Indicators (KPIs) to support risk-related decision making. The study firstly comprises a literature review on approaches for governance management, which confirm a disconnection between theory and practice. It then progresses to mapping the main business areas and suggesting exemplary KPIs to fill this gap. Finally, it documents the design and usage of a BI dashboard, as emerged via a validation with four managers. This early application shows the advantages of BI for both business operators and governance managers.

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“…There is also a potential to provide useful information for companies aiming to implement application-based PPM. However, as Hannila et al (2019a) noted, data should be considered first and technology only after that. This does not mean that technology is unimportant, but that it does not reach its full potential without data.…”

Section: Introductionmentioning

confidence: 99%

Product-level profitability analysis and decision-making: opportunities of IT application-based approach

Koskinen

Mustonen

Härkönen

et al. 2020

IJPLM

Self Cite

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works as a doctoral student at the University of Oulu in Finland. He has a Master's degree in Industrial Engineering and Management. His research interests cover data-driven management, digitalisation, product management, product portfolio management, and product lifecycle management.Erno Mustonen received his Master's degree in Industrial Engineering and Management from University of Oulu, Finland in 2017. His research interests include product management, product portfolio management, productization, product lifecycle management, and product data management. Currently, he is working as a doctoral student at the University of Oulu.Dr Janne Harkonen received his Bachelor's degree (1st Class Honours) in

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Data-driven Begins with DATA; Potential of Data Assets

Cited by 32 publications

References 38 publications

Can big data analytics capabilities promote a competitive advantage? Green radical innovation, green incremental innovation and data-driven culture in a moderated mediation model

Can big data analytics capabilities promote a competitive advantage? Green radical innovation, green incremental innovation and data-driven culture in a moderated mediation model

Business Intelligence for IT Governance of a Technology Company

Product-level profitability analysis and decision-making: opportunities of IT application-based approach

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