Best ENGT5214 Skills Research Methods Sample

Best ENGT5214 Skills Research Methods Sample

Introduction( ENGT5214 Assignment Sample ) 

The quality of services is an important aspect of every organization irrespective of their sector.

In order to maintain the quality of services, it is important for an organization to maintain and keep a track of certain aspects; some of them include the availability of the resource, the implementation of technology, assigning the activities to capable personnel and many more (Papadopoulos and Gunasekaran, 2017).http://Best ENGT5214 Skills Research Methods Sample

All of these aspects or approaches are equally important for the organization for improving its service quality.

The factor that has to be provided with more concentration depends on the necessities and requirements of the organization. This report discusses a critical review of the contribution of big data in the operations of various businesses. The critical review had been presented considering three papers.

Critical review

Paper 1

Big data analytics and firm performance: Effects of dynamic capabilities

This source provides data on how big data capabilities are generally measured and how their uses are incorporated with the performance of organizations. It further discusses how the process-oriented dynamic capabilities tend to play a certain role in the relation between the FPER and BDAC.

This article reflects on the fact that various emerging pieces of literature that have reflected on the big data analytics have identifies a certain positive relation among the deployment of the analytics of customers as well as performance of the firms (Papadopoulos and Gunasekaran, 2017).http://Best ENGT5214 Skills Research Methods Sample

An example presented by the source is that big data analytics allows various organizations in the process of analyzing as well as managing various strategies with the help of a data lens.

Various findings that have been presented in this report represent that the higher order of big data analytics construct is likely to have more impact on the FPER when compared to the PODC.

It further states that PODC is a certain partial mediator that suggests the improvement of PODC as well as big data analytics for the purpose of enhancing their FPER (Zhan and Tan, 2020).http://Best ENGT5214 Skills Research Methods Sample

On the contrary, it had been mentioned that by nature, bid data analytics is a context-specific because of the differences that are present in the industry of analytics; replications within the model in various settings contribute in the process of enhancing the generalizability.

Paper 2

Big data and analytics in operations and supply chain management: managerial aspects and practical challenges

The second article highlights on various potential benefits that are obtained from big data and analytics, this includes the increasing of ROI up to 15 to 20 percent, enhancement of productivity as well as competitiveness along with forming a better customer base.

Thus further includes allowing the usage of mechanisms that are used for the purpose of measuring performance. Among operations and the supply chains, the big data and analytics have the ability to provide various benefits to the organization in terms of improving the performance of the employees as well as improving the overall performance of the organization (Boone and Skipper, 2017).http://Best ENGT5214 Skills Research Methods Sample

At the level of strategic operations, big data and analytics have the ability to drive the process of decision-making considering future actions as well as processes like strategic sourcing, network design of the supply chain, development and product design.

This article represents the fact that despite various benefits provided by the big data and analytics, little knowledge had been obtained on how this could be implemented. This article further focuses on the big data from a certain cloud-computing lens.

Various researchers have examined the inter-organizational profits of the cooperative resilience among the logistics and cloud-computing providers in the terms of trust and capability (Fan and Xiao, 2018).http://Best ENGT5214 Skills Research Methods Sample

The results presented in the article highlights the fact that for various Chinese small as well as medium-sized organizations that deal with logistics, various managers of the organizations are supposed to aim in the process of maintaining the relation among the CC services and the capabilities of the providers in the aspects of the security and vulnerability.

Paper 3

A framework for investigating the role of big data in service parts management

This article provides a framework for the purpose of investigating the role of big data in the services of parts management. This article reflects on the fact that there had been an increasing demand for responsive, sustainable, and cost-effective.

It had been stated that sustainable operations need various service parts, adoption as well as consideration. This article had collected primary data on the major challenges that they have been facing in terms of service quality (Arunachalam and Kumar, 2018).http://Best ENGT5214 Skills Research Methods Sample

They have been asked to consider the decisions that are data-driven and have been faced by data parts managers; various participants have provided a huge range of responses. They have discussed regarding the challenges due to which big data analytics are promising in nature (Al-Hiram and Tahini, 2017).http://Best ENGT5214 Skills Research Methods Sample

Some of the challenges that have been mentioned in this article include upstream necessities: this particular aspect refers to various issues that influence various providers of service along with receipt of their parts (Feng and Shanthi Kumar, 2018).http://Best ENGT5214 Skills Research Methods Sample

The major among these include service part sourcing, inbound transportation as well as supply chain management.

Conclusion

From the above discussion, it could be concluded that the quality of service is an important aspect in terms of business operations. The quality of service delivered to the customers depends on numerous aspects.

Some of the aspects that contribute in the successful delivery of the services include the time allotted for the project execution, the resources that are utilized for the purpose of executing the project, the technologies that are used for the project and many more.

This assignment highlights the technology that is used for the purpose of obtaining benefits in improving the service quality. To be specific, this report discusses regarding the usage of big data and analytics in the process of improving organizational services.

 

 

Reference

Al-Qirim, N., Tarhini, A. and Rouibah, K., 2017, August. Determinants of big data adoption and success. In Proceedings of the International Conference on Algorithms, Computing and Systems (pp. 88-92).

Arunachalam, D., Kumar, N. and Kawalek, J.P., 2018. Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges, and implications for practice. Transportation Research Part E: Logistics and Transportation Review114, pp.416-436.

Boone, C.A., Skipper, J.B. and Hazen, B.T., 2017. A framework for investigating the role of big data in service parts management. Journal of Cleaner Production153, pp.687-691.

Fan, C., Xiao, F., Li, Z. and Wang, J., 2018. Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review. Energy and Buildings159, pp.296-308.

Feng, Q. and Shanthikumar, J.G., 2018. How research in production and operations management may evolve in the era of big data. Production and Operations Management27(9), pp.1670-1684.

Papadopoulos, T., Gunasekaran, A., Dubey, R. and Fosso Wamba, S., 2017. Big data and analytics in operations and supply chain management: managerial aspects and practical challenges. Production Planning & Control28(11-12), pp.873-876.

Zhan, Y. and Tan, K.H., 2020. An analytic infrastructure for harvesting big data to enhance supply chain performance. European Journal of Operational Research281(3), pp.559-574.

 

Leave a Comment