Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance
Read this study, which surveyed supply chain managers to understand how they address supply chain uncertainty. Section 5 identifies the study's solutions to overcoming uncertainty.
Research Limitations and Future Research
The
current study is based on the data collected from one single economy
within one single industry. Hence, the findings may not be generalizable
to other economies and industries. This study has been conducted based
on an inductive approach with cross-sectional data. However, future
research may consider using longitudinal data to see the changes over
time. In addition, supply chain uncertainty should encourage
collaborative efforts within the partners that would contribute to
better operational performance, future research should incorporate
the supply chain collaborative dimensions in the model. Touboulic and
Walker suggested sustainable supply chain management is emerging as an
applied field of knowledge and due to its' applied orientation, an
action research approach would be more meaningful. By nature, the
problems in the supply chain are often inter-disciplinary and concerned
with the impact on society and business, at large. Also, this raises a
future research question, 'to what extent can market/supply chain forces
drive sustainability?' Finally, taking into consideration Schlittgen et
al., PLS-IRRS, instead of PLS-SEM, should be jointly used with fsQCA. This could be useful to address issue related unobserved
heterogeneity that our data may contain. For future research and taking
into consideration Schlittgen et al., the iteratively reweighted
regressions segmentation method for PLS (PLS-IRRS), instead of PLS-SEM,
should be jointly used with fsQCA. This could be useful to address
issue related unobserved heterogeneity that our data may contain.