Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics

El‐Haddadeh, Ramzi; Osmani, Mohamad; Hindi, Nitham; Fadlalla, Adam

doi:10.1016/j.jbusres.2020.10.066

Cited by 56 publications

(90 citation statements)

References 49 publications

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“…Un 18% de los encuestados precisa percibir una relación débil entre la organización, a través de su proceso productivo, y la empatía de la organización y su mercado; también es importante conocer que, la creciente complejidad de la problemática medioambiental y su vinculación con la forma en que la sociedad consume hacen imprescindible comprender el grado de conciencia de los consumidores sobre los aspectos sostenibles (Jaca et al, 2018); sin embargo, los investigadores necesitan comprender mejor cómo los valores y las percepciones de los consumidores sobre las prácticas de mercado de las empresas influyen en el apoyo de los consumidores a las empresas que persiguen prácticas comerciales sostenibles. En este sentido, la actualización tecnológica a través de la adopción de tecnologías innovadoras, como en el análisis de big data (BDA), puede verse como un habilitador clave para ayudar a abordar los desafíos sociales (El & Haddadeh et al, 2020). Solo un 8% señaló percibir con Indiferencia, la relación que analizamos a través de la pregunta del cuestionario.…”

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Gestión y estudio evolutivo del agua para el desarrollo sostenible de la región Piura, Perú

et al. 2021

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El objetivo fue proponer un modelo de Gestión sostenible del agua en base a un estudio evolutivo para el desarrollo sostenible en la región Piura. Este trabajo se realizó bajo el paradigma hipotético deductivo, de tipo sustantiva básica con diseño correlacional transversal. Se utilizaron dos cuestionarios: cuestionario 1, aplicado a una muestra de 220 familias, para la obtención de información sobre el consumo de agua, y el cuestionario 2, aplicado a una muestra de 36 profesionales en ejercicio de la administración pública, estos instrumentos fueron complementados con fichas bibliográficas. Se empleó la prueba chi-cuadrada (X2), grados de libertad=32) con un nivel de significación del 5% (α=0,05) con la finalidad de demostrar las hipótesis planteadas. Confrontando los valores obtenidos experimentalmente se rechazó la hipótesis nula. El modelo de gestión y el estudio evolutivo del agua si contribuyen al desarrollo sostenible del agua.

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Section: Figuraunclassified

Gestión y estudio evolutivo del agua para el desarrollo sostenible de la región Piura, Perú

et al. 2021

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“…Despite the importance of the application of BDA, as it is a disruptive technology in early stages of adoption, there are gaps in its implementation due to a lack of understanding of the necessary elements for its success and the decrease in the levels of risks and associated costs [23][24][25][26]. Further, an exhaustive literature search in major scientific databases such as Web of Science (WoS) and Scopus indicates that little research has considered the factors that influence the adoption of BDA [27,28] and even fewer studies have adopted a holistic view to validate the organizational context [25,29]. Under the technology, organization, and environment (TOE) theoretical framework, which has been widely used to measure BDA adoption [30], previous studies came to varied conclusions [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

“…To address these issues, this study contributes to the existing literature in four ways. First, it identifies the factors that influence the adoption of BDA in HEIs, a sector that has lagged behind other industries in adopting this technology, making it unclear whether they are ready to adopt BDA [25,30,36,55]. Second, it examines the potential impact of BDA on organizational performance in understudied sectors such as HEIs [39,53].…”

Section: Introductionmentioning

confidence: 99%

“…Several theories are proposed to describe the factors that influence the adoption of technology such as BDA; among these, the TOE framework developed by Tornatzky and Fleischer [62] stands out. Previous literature uses the TOE framework to analyze forms of innovation such as e-business or cloud computing [63,64], and other studies use it in the context of BDA in sectors other than HEIs [55,65,66], making it an appropriate framework for recognizing the technological, organizational, and environmental factors that influence organizational performance [24,25,29,36].…”

Section: Introductionmentioning

confidence: 99%

“…While there is an extensive body of literature on BDA adoption, few offer organizationallevel perspectives [23,25] and adoption factors may vary by industry [55]; in particular, the education sector still lags behind other industries in BDA adoption and it is unclear whether it is prepared for the implementation of the technology [24,36].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management

Sekli

Vega

2021

Journal of Open Innovation: Technology, Market, and Complexity

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Due to SARS-CoV-2 pandemic, higher education institutions are challenged to continue providing quality teaching, consulting, and research production through virtual education environments. In this context, a large volume of data is being generated, and technologies such as big data analytics are needed to create opportunities for open innovation by obtaining valuable knowledge. The purpose of this paper is to investigate the factors that influence the adoption of big data analytics and evaluate the relationship it has with performance and knowledge management, taking into consideration that this technology is in its initial stages and that previous research has provided varied results depending on the sector in focus. To address these challenges, a theoretical framework is developed to empirically test the relationship of these variables; 265 members of universities in Latin America were surveyed, and structural equation modeling is used. The findings identify compatibility, an adequate organizational data environment, and external support as factors required to adopt big data analytics, and their positive relationship is tested with knowledge management processes and organizational performance. This study provides practical guidance for decision-makers involved in or in charge of defining the implementation strategy of big data analytics in higher education institutions.

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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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Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics

Cited by 56 publications

References 49 publications

Gestión y estudio evolutivo del agua para el desarrollo sostenible de la región Piura, Perú

Gestión y estudio evolutivo del agua para el desarrollo sostenible de la región Piura, Perú

Adoption of Big Data Analytics and Its Impact on Organizational Performance in Higher Education Mediated by Knowledge Management

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

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