Business analytics and firm performance: The mediating role of business process performance

Aydıner, Arafat Salih; Tatoğlu, Ekrem; Bayraktar, Erkan; Zaim, Selim; Delen, Dursun

doi:10.1016/j.jbusres.2018.11.028

Cited by 260 publications

(224 citation statements)

References 53 publications

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“…Similarly, Aydiner et al . () found significant association between the level of BDPA adoption and business performance/firm performance via business process performance. Because of these benefits, we argue that BDPA‐enabled manufacturing activities enable managers to lower operating costs, product quality and improve product delivery (availability).…”

Section: Theoretical Model and Hypothesis Developmentmentioning

confidence: 94%

“…Previous studies have tended to examine the impact of big data analytics (BDA)/BDPA on an organization's overall performance (Akter et al ., ; Aydiner et al ., ; Chen, Preston and Swink, ; Fosso Wamba et al ., ; Gunasekaran et al ., ; Gupta and George, ; Srinivasan and Swink, ). The majority of these studies found that organizations using BDA/BDPA to take complex decisions are more competitive in the marketplace (Chen, Preston and Swink, ; Fosso Wamba et al ., ; Srinivasan and Swink, ).…”

Section: Theoretical Model and Hypothesis Developmentmentioning

confidence: 99%

“…Further, if the quality of the data is not controlled properly, then the decision‐making process guided by BDPA may even have negative consequences (Hazen et al ., ; Janssen, van der Voort and Wahyudi, ). Therefore, even though research has broadly discussed characteristics and the impact of BDPA on performance (organizational or operational performance) (see Aydiner et al ., ; Fosso Wamba et al ., ; Gunasekaran et al ., ; Gupta and George, ; Ren et al ., ; Srinivas and Swink, ; Wang, Kung and Byrd, ), research on the influence of BDPA on manufacturing performance under the influence of external conditions is limited (Gunasekaran et al ., ; Günther et al ., ). For instance, Günther et al .…”

Section: Introductionmentioning

confidence: 99%

“…Firstly, how organizations manage data access and secondly, how organizations are prepared to deal with external pressures arising from ethical concerns and regulatory norms. Only a few studies utilize a theory‐focused approach to explain how BDPA can help to achieve enhanced performance (see Aydiner et al ., ; Chen, Preston and Swink, ; Gunasekaran et al ., ; Srinivasan and Swink, ). Most studies have utilized the dynamic capability view (Akter et al ., ; Fosso Wamba et al ., ; Chen, Preston and Swink, ) or organizational information processing theory (Srinivasan and Swink, ).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture

Dubey

Gunasekaran

Childe

et al. 2019

British J of Management

568

395

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The importance of big data and predictive analytics has been at the forefront of research for operations and manufacturing management. The literature has reported the influence of big data and predictive analytics for improved supply chain and operational performance, but there has been a paucity of literature regarding the role of external institutional pressures on the resources of the organization to build big data capability. To address this gap, this paper draws on the resource‐based view of the firm, institutional theory and organizational culture to develop and test a model that describes the importance of resources for building capabilities, skills and big data culture and subsequently improving cost and operational performance. We test our research hypotheses using 195 surveys, gathered using a pre‐tested questionnaire. Our contribution lies in providing insights regarding the role of external pressures on the selection of resources under the moderating effect of big data culture and their utilization for capability building, and how this capability affects cost and operational performance.

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Section: Theoretical Model and Hypothesis Developmentmentioning

confidence: 94%

Section: Theoretical Model and Hypothesis Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture

Dubey

Gunasekaran

Childe

et al. 2019

British J of Management

568

395

View full text Add to dashboard Cite

show abstract

“…This capability is a basic component to gain a competitive advantage for a company (Duarte, Cabrita, & Machado, ; Gokarn & Kuthambalayan, ; Shang, Lu, & Li, ; Yu et al, ). Therefore, improved operational performance is central for the responsiveness of a company to increase market share and revenue growth (Aydiner, Tatoglu, Bayraktar, Zaim, & Delen, ). “Green” should include every stage of operational processes within the supply chain, connecting supplier from the raw material stage to the consumer, covering manufacturing, packaging, and material handling (Shang et al, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Operational excellence in a green supply chain for environmental management: A case study

et al. 2020

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Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context, given that becoming green in the operational side of activities is essential, the performance assessment of operational activities also requires a holistic view to be taken. In this paper, an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria, namely, quality management, efficiency management, green production/manufacturing, eco‐packaging, and green design. First, the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then, the overall operational performance score was found by a weighted scoring method. Finally, both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.

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Linkages between smart, lean, and resilient manufacturing for sustainable development

et al. 2022

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In a highly competitive and changing environment, manufacturers are called to adopt the paradigms of smart, sustainable, resilient, and lean manufacturing (SSRL). However, despite the growing interest in the topic and the potential of smart manufacturing features to enable sustainable development, little is known about these interactions in the system of SSRL. Therefore, to address this gap, this study investigates the moderating effect of SM on lean manufacturing and resilient manufacturing for SP while examining the existing relationship between lean and resilience. Drawing upon a hybrid methodology including the partial least squares‐structural equation modeling (PLS‐SEM) and machine learning algorithms, this research paper develops and tests the hypothetical model using collected data from 399 organizations in China, Africa, and Europe. The findings reveal important implications regarding the fostering effect of SM on the components of the SSRL system and how firms can be both lean and resilient and achieve high sustainable performance simultaneously.

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Business analytics and firm performance: The mediating role of business process performance

Cited by 260 publications

References 53 publications

Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture

Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture

Operational excellence in a green supply chain for environmental management: A case study

Linkages between smart, lean, and resilient manufacturing for sustainable development

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