A Framework for Analyzing Operational Performance in Healthcare Industry
DOI:
https://doi.org/10.17010/ijcs/2017/v2/i6/120442Keywords:
Big Data Analytics
, Operational Performance, Service Supply Chain ManagementManuscript received July 5
, 2017, revised September 3, accepted September 25, 2017. Date of publication November 6, 2017.Abstract
The present paper focused on designing a framework to study the impact of Big Data analytics on service supply chain management and in turn improving operational performance. Different parameters for all the three major areas have been identified to study the impact on each other. First, for Big Data Analytics, different techniques for data collection, data reposition and data analysis were identified. For Service Chain Management, there are two types of Service Supply Chains i.e. Service Only Supply Chain and Product Service Supply chain. In the healthcare industry, Service Only Chain is applicable and therefore, it was analyzed. Also, the role of data analytics in performing different steps of service chain management namely, planning, sourcing, and delivery were studied and last, the impact on operational performance was analyzed by identifying three parameters for measuring operational performance namely Turn Around Time (TAT), Order Fill Rate (OFR), and Accuracy.Downloads
Downloads
Published
How to Cite
Issue
Section
References
A. W. Mackelprang, J. L. Robinson, E. Bernardes, and G. S. Webb, "The relationship between strategic supply chain integration and performance: A meta-Analytic evaluation and implications for supply chain management research," Journal of Business Logistics, vol. 35, no. 1. pp. 71-96, 2014. doi: 10.1111/jbl.12023.
B. Chae, D. Olson, and C. Sheu, "The impact of supply chain analytics on operational performance: a resource-based view," International Journal of Production Research, vol. 52, no. 16, pp. 4695-4710, 2014. doi: https://doi.org/10.1080/00207543.2013.861616
G. C. Souza, "Supply chain analytics," Business Horizon, vol. 57, no. 5, pp. 595-605, 2014.
Z. H. Che, Z and T. Chiang, "Designing a collaborative supply chain plan using the analytical hierarchy process and genetic algorithm with cycle time estimation," International Journal of Production Research, vol. 50, no.16, pp. 4426-4443, 2012. doi: https://doi.org/10.1080/00207543.2011.598884
D. Estampe, S. Lamouri, J. Paris, and S. Brahmin-Djelloul, "A framework for analysing supply chain performance evaluation models," International Journal of Production Economics, vol. 142, no. 2, pp. 247-258, 2013. doi: 10.1016/j.ijpe.2010.11.024.
G. Wang, A. Gunasekaran, E. W. Ngai, and T. Papadopoulos, "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, vol. 176, pp. 98-110, 2016. doi: https://doi.org/10.1016/j.ijpe.2016.03.014
K. Kambatla, G. Kollias, V. Kumar, and A. Grama, "Trends in big data analytics," Journal of Parallel Distributed Computing, vol. 74, no. 7, pp. 2561-2573, 2014. doi: https://doi.org/10.1016/j.jpdc.2014.01.003
H. Chen, R. H. L. Chaing, and V. C. Storey, "Business Intelligence and Analytics: From Big data to Big Impact," MIS Quarterly, vol. 36, no. 4, pp. 1165-1188, 2012.
K. Rezaie, S. S. Ramiyani, S. Nazari-Shirkouhi, and A. Badizadeh, "Evaluating performance of Iranian Cement firms using an integrated fuzzy AHP-VIKOR method," Applied Mathematical Modelling, vol. 38, no. 21-22, pp. 5033-5046, 2014. doi: https://doi.org/10.1016/j.apm.2014.04.003
Y. Wang, S. W. Wallace, B. Shen, and T. Choi, "Service Supply Chain Management: A review of operational models," European Journal of Operational Research, vol. 247, no. 3, pp. 685-698, 2015. doi: https://doi.org/10.1016/j.ejor.2015.05.053
T. Baltacioglu, E. Ada, M. D. Kaplan, O. Yurt, and Y. C. Kaplan, "A new framework for service supply chains," The Services Industries Journal, vol. 27, no. 2, pp. 105-124, 2007. doi: https://doi.org/10.1080/02642060601122629
S. E. Sampson, "Customer-supplier duality and bidirectional supply chains in service organizations," International Journal of Service Industry Management, vol. 11, no. 4, pp. 348-364, 2000. doi: 10.1108/09564230010355377.
H. Demirkan and H. K. Cheng, "The risk and information sharing of application services supply chain," European Journal of Operational Research, vol. 187, no. 3, pp 765-784, 2008. doi: https://doi.org/10.1016/j.ejor.2006.03.060
R. Kohavi, N., Rothleder, and E. Simoudis, "Emerging Trends in Business Analytics," Communications of the ACM, vol. 45, no. 8, pp. 45-48, 2002. doi:10.1145/545151.545177.
P. Trkman, K. McCormack, M. Oliveira, M., and M. Ladeira, "The impact of business analytics on supply chain performance," Decision Support Systems, vol. 49, no. 3, pp 318-327, 2010.
B. Chae, C. Yang, D. Olson, and C. Sheu, "The impact of advanced analytics and data accuracy on operational performance: A contingent resource based theory (RBT)," Decision Support Systems, pp. 119-126, 2014. doi: https://doi.org/10.1016/j.dss.2013.10.012
M. Giannakis, "Management of service supply chains with a service oriented reference model: The case of management consulting," Supply Chain Management: An International Journal, vol. 16, no. 5, pp. 346-36, 2011. doi: https://doi.org/10.1108/13598541111155857
T. Boyaci and G. Gallego, "Supply chain coordination in a market with customer service competition," Production and Operation Management, vol. 13, no. 1, pp. 3-22, 2004. doi: 10.1111/j.1937-5956.2004.tb00141.x
S. Farooq and C. Brien, "A technology selection framework for integrating manufacturing within a supply chain," International Journal of Production Research, vol. 50, no. 11, pp. 2987-3010, 2012. doi: https://doi.org/10.1080/00207543.2011.588265.
L. Ellram, W. Tate, and C. Billington, "Understanding and managing the services supply chain," Journal of Supply Chain Management, vol. 40, no. 3, pp. 17-32, 2004. doi: 10.1111/j.1745-493X.2004.tb00176.x.
A. Neely, C. Adams, and M. Kennerley, "The performance prism: The scorecard for measuring and managing business success," 2002. London: FT Prentice- Hall.
C. Surie and M. Wagner, "Supply chain analysis," Supply Chain Management and Advance Planning, pp. 29-43, 2002.
D. W. Cho, Y. H. Lee, S. H. Ahn, and M. K. Hwang, "A framework for measuring the performance of service supply chain management," Computers & Industrial Engineering, vol. 62, no. 3, pp. 801-818, 2012. doi:https://doi.org/10.1016/j.cie.2011.11.014
Study, & Accenture Global Operations Megatrends, "Big data analytics in supply chain: Hype or Here to stay?," 2014.
B. Chae and D. L. Olson, "Business Analytics for Supply chain: A dynamic capabilities framework," International Journal of Information Technology & Decision Making, vol. 49, no. 1, pp. 9-26, 2013. doi: https://doi.org/10.1142/S0219622013500016.
D. Q. Chen, D. S. Preston, and M. Swink, "How the use of big data analytics affects value creation in Supply Chain Management," Journal of Management Information Systems, vol. 32, no. 4, pp. 4-39, 2015. doi: https://doi.org/10.1080/07421222.2015.1138364
C. Sellitto, S. Burgess, and P. Hawking, "Information quality attributes associated with RFID- derived benefits in the retail supply chain," International Journal of Retail & Distribution Management, vol. 35, no. 1, pp. 69-87, 2007. doi: https://doi.org/10.1108/09590550710722350
N. Singh, "Emerging technologies to support supply chain management," Communications of the ACM, pp. 243-247, 2003. doi:10.1145/903893.903943.
Y. Su and C. Yang, "Why are enterprise resource planning systems indispensable to Supply Chain Management?" European Journal of Operational Research, vol. 3, no. 1, pp. 575-588, 2010. doi: https://doi.org/10.1016/j.ejor.2009.07.003
P. Russom, "Big Data Analytics. TDWI Best Practices Report Fourth Quarter," TDWI Research, 2011.
T. Schoenherr and C. Speier-Pero, "Data science, predictive analytics and big data in supply chain management: Current state and future potential," Journal of Business Logistics, vol. 36, no. 1, pp. 120-132, 2015. doi: 10.1111/jbl.12082.
L. Li, L., Q. Su, and X. Chen, "Ensuring supply chain quality performance through applying the SCOR model," International Journal of Production Research, pp. 33-57, 2011. doi: https://doi.org/10.1080/00207543.2010.508934.
A. Lockamy and K. McCormack, "Linking SCOR planning practices to supply chain performance: An exploratory study," International Journal Operations and Production Management, vol. 24, no. 12, pp. 1192-1218, 2004. doi: https://doi.org/10.1108/01443570410569010
H. Zhou, W. Benton, D. Schilling, and G. Miligan, "Supply Chain Integration and the SCOR model," Journal of Business Logistics, vol. 32, no. 4, pp. 332-344, 2011. doi: 10.1111/j.0000-0000.2011.01029.x.
J. Cai, X. Liu, Z. Xiao, and J. Liu, "Improving supply chain performance management: a systematic approach to analyzing iterative KPI accomplishment," Decision Support Systems, vol. 46, no. 2, pp. 512-52, 2009. doi: https://doi.org/10.1016/j.dss.2008.09.004.
J. Fairbank, G. Labianca, H. Steensma, and R. Metters, "Information processing design choices, strategy, and risk management performance," Journal of Management Information Systems, vol. 23, no. 1, pp. 293-319, 2006.
T. Gulledge and T. Chavusholu, "Automating the construction of supply chain key performance indicators," Industrial Management and Data Systems, vol. 108, no. 6, pp 750-774, 2008. doi: https://doi.org/10.1108/02635570810883996.
