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1 – 3 of 3Syed Awais Ahmad Tipu and Kamel Fantazy
Using a dynamic capability view, this study examined the relationships between big data analytics capability (BDAC), entrepreneurial orientation (EO) and sustainable supply chain…
Abstract
Purpose
Using a dynamic capability view, this study examined the relationships between big data analytics capability (BDAC), entrepreneurial orientation (EO) and sustainable supply chain performance (SSCP) by exploring the moderating role of trust among supply chain partners.
Design/methodology/approach
Questionnaires were collected from 300 manufacturing organizations using snow sampling. The moderating connections and direct relationships were examined using Hays' process macro and structural equation modeling.
Findings
BDAC was positively related to EO and SSCP. When supply chain partners experienced low levels of trust, an increase in BDAC did not enhance SSCP. As trust increased, the relationship between BDAC and SSCP became more positive, underpinning the moderating effects of trust. Moreover, trust did not moderate the relationship between BDAC and EO. The moderating effect of trust on the relationship between EO and SSCP showed a positive relationship between EO and SSCP when trust was low; however, the relationship became negative when trust was high.
Practical implications
Developing technology alone may not be sufficient, as supply chain managers need to establish a strong business relationship based on mutual trust. However, they also need to be aware of the dangers of high levels of trust because these may negatively affect performance. Therefore, supply chain managers need to achieve an optimal level of trust that is neither excessive nor insufficient.
Originality/value
Advances in technology and entrepreneurial drive for supply chain sustainability make it pertinent to examine trust levels among supply chain partners and the varying impact on BDAC, EO and SSCP. The current study shows the negative aspects of too much trust among supply chain partners.
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Kamel Fantazy and Syed Awais Ahmad Tipu
Drawing on the dynamic capability view, this study aims to examine the relationships between big data analytics capability (BDAC) and sustainable supply chain performance (SSCP…
Abstract
Purpose
Drawing on the dynamic capability view, this study aims to examine the relationships between big data analytics capability (BDAC) and sustainable supply chain performance (SSCP) by exploring the mediating effects of knowledge development (KD) in terms of knowledge acquisition, information distribution, shared meaning and achieved memory.
Design/methodology/approach
Data were collected by questionnaire survey from 300 manufacturing organizations. Structural equation modeling was used to test the research hypotheses.
Findings
It was found that all the dimensions of KD were positively related to BDAC and SSCP. Although no direct association was established between BDAC and SSCP, the empirical findings indicated that all the dimensions of KD fully mediated the relationship between BDAC and SSCP. This highlights that organizations need to harness KD because developing BDAC alone may not be sufficient.
Originality/value
No previous research has explored how KD dimensions such as knowledge acquisition, information distribution, shared meaning and achieved memory mediate the relationship between BDAC and SSCP. This paper addresses this gap in the literature and contributes to the existing debate to better understand the conditions in which BDAC affects SSCP. Pointers for future research are also identified.
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Syed Awais Ahmad Tipu and Kamel Fantazy
Drawing on the dynamic capability view (DCV), the current study aims to examine the mediating effects of entrepreneurial orientation (EO), in terms of innovativeness…
Abstract
Purpose
Drawing on the dynamic capability view (DCV), the current study aims to examine the mediating effects of entrepreneurial orientation (EO), in terms of innovativeness, proactiveness and risk taking, on the relationships between big data analytics (BDA) capability and sustainable supply chain performance (SSCP).
Design/methodology/approach
Data were collected by questionnaire survey from 300 manufacturing organizations. Structural equation modeling (SEM) was used to test the hypotheses.
Findings
The findings showed that innovativeness and proactiveness fully mediated the link between BDA capability and SSCP. However, risk taking only partially mediated the relationship between BDA capability and SSCP. There was also a negative relationship between BDA and risk taking.
Research limitations/implications
Given that the current study focused on the manufacturing sector, future research is needed to compare different sectors and cultural contexts. Further exploration is also needed into the dimension of risk taking in terms of the role of risk taking in linking BDA capability with SSCP in different cultural settings.
Practical implications
Technology may not increase the risk taking capability. Organizations may be creative and proactive but may remain risk averse despite having access to big data. Organizations need a more balanced approach to dynamically integrate and reconfigure the organizations' BDA and EO capabilities in order to enhance SSCP.
Originality/value
The role of EO in mediating the relationship between BDA capability and SSCP has not been studied before. The current study aimed to address the gap and contribute to the existing debate on better understanding the factors that are needed by organizations to effectively employ technology to enhance SSCP. Untapped areas for future research are also identified.
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