Moving Away from the Basic, Adopting a New Approach to the Creative Process

Gómez, Juan Carlos Quiñones

doi:10.1007/978-3-030-12346-8_65

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…Big data analytics capabilities can promote green innovation by providing accurate analytical tools that can develop environmental ideas (Meiyou and Ye, 2022). Human capital, one of the big data analytics capabilities components, can enhance firms' benefit from big data and increase its value, leading to improved levels of innovation and green innovation in companies (Quiñones-G omez, 2019).…”

Section: Discussionmentioning

confidence: 99%

Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity

Al-Khatib¹

2022

BPMJ

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PurposeThis study investigates the impact of big data analytics capabilities on green supply chain performance. Moreover, it assesses the mediating effect of the green innovation and moderating effect of technological intensity.Design/methodology/approachThis study is based on primary data that were collected from the food and beverages manufacturing sector operating in Jordan. A total of 420 samples were used for the final data analysis. Data analysis was performed via structural equation modeling (SEM) using SmartPLS 3.3.9.FindingsThe results of the data analysis supported a positive relationship between big data analytics capabilities and the green supply chain performance as well as a mediating effect of green innovation. It was confirmed that technological intensity moderated the relationship of green innovation on green supply chain performance.Research limitations/implicationsThe study faced many limitations such as the method of collecting primary data, which relied on a questionnaire only and the use of cross-sectional data, as well as studying one context and in one country.Practical implicationsThe findings can guide managers and policymakers in the Jordanian food and beverage manufacturing sector on how to manage organizational capabilities related to big data analytics to enhance green supply chain performance and improve green innovation in these firms.Originality/valueThis study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, green innovation, technological intensity and green supply chain performance. This study offers new theoretical and managerial contributions that add value to the supply chain management and innovation literature by testing the moderated mediation model of these constructs in the food and beverages manufacturing sector in Jordan.

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Section: Discussionmentioning

confidence: 99%

Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity

Al-Khatib¹

2022

BPMJ

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“…Hence, harnessing the human capital to leverage value from big data can be instrumental towards eco-innovation related activities such as product development or process refinement [117]. Human capital can also be vital in generating more value from big data through visualization and analysis at critical levels such as product/process design [118]. Despite these findings, research that investigates the contributory played by a firm's personnel in analytics is scant.…”

Section: Personnel Expertise Capabilitymentioning

confidence: 99%

Big Data Analytics Capabilities and Eco-Innovation: A Study of Energy Companies

Munodawafa

Johl

2019

Sustainability

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Increased greenhouse gas (GHG) emissions in the past decades have created concerns about the environment. To stymie global warming and the deterioration of the natural environment, global CO2 emissions need to reach approximately 1.3 tons per capita by 2050. However, in Malaysia, CO2 output per capita—driven by fossil fuel consumption and energy production—is expected to reach approximately 12.1 tons by the year 2020. GHG mitigation strategies are needed to address these challenges. Cleaner production, through eco-innovation, has the potential to arrest CO2 emissions and buttress sustainable development. However, the cleaner production process has been hampered by lack of complete data to support decision making. Therefore, using the resource-based view, a preliminary study consisting of energy and utility firms is undertaken to understand the impact of big data analytics towards eco-innovation. Linear regression through SPSS Version 24 reveals that big data analytics could become a strong predictor of eco-innovation. This paper concludes that information and data are key inputs, and big data technology provides firms the opportunity to obtain information, which could influence its production process—and possibly help arrest increasing CO2 emissions.

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“…This study is a further exploration of that conducted by Quiñones-Gómez (2019). The purpose of the work presented is to provide a framework to use the data as design material in the NPD based on user experience attributes.…”

Section: Introductionmentioning

confidence: 99%

Creativity Forward: A Framework That Integrates Data Analysis Techniques to Foster Creativity Within the Creative Process in User Experience Contexts

Gómez

2021

Creativity Studies

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The latest technological advancements allow users to generate a large volume of data related to their experiences and needs. However, the absence of an advanced methodology that links the big data and the creative process prevents the effective use of the data and extracting all its potential and knowledge in this context, which is crucial in offering user-centred solutions. Incorporating data creatively and critically as design material can help us learn and understand user needs better. Therefore, design can bring deeper meaning to data, just as data can enhance design practice. Accordingly, this work raises a reflection on whether designers could appropriate the workflow of data science in order to integrate it into the research process in the creative process within a framework of user experience analysis. The proposed model: data-driven design model, enhances the exploratory design of problem space and assists in the creation of ideas during the conceptual design phase. In this way, this work offers an integrated vision, enhancing creativity in industrial design as an instrument for the achievement of the proper and necessary balance between intuition and reason, design, and science.

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Moving Away from the Basic, Adopting a New Approach to the Creative Process

Cited by 3 publications

References 17 publications

Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity

Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity

Big Data Analytics Capabilities and Eco-Innovation: A Study of Energy Companies

Creativity Forward: A Framework That Integrates Data Analysis Techniques to Foster Creativity Within the Creative Process in User Experience Contexts

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