What are the main opportunities and challenges within the industry in which your client’s firm operate?
- Introduction and Brief Analysis of the Situation
– What is your client’s firm (e.g. country, industry)?
– Why does this client require your service as a consultant?
– What kind of consultant are you (e.g. strategy, operations, IT/technology)?
- Analysis of the Current Situation for a Client
– What products or services are offered by your client’s firm? What are the main competitors in this market/sector?
– What are the main opportunities and challenges within the industry in which your client’s firm operate?
– What tools, frameworks and data do you need to analyse the current challenges and opportunities for your client?
- Strategic Recommendations for the Client
– What are your practical recommendations to your client based on your analysis?
– What does your client need to do in order to tackle the challenge/realise the opportunity?
– What are the key success indicators and main risks associated with your client’s new strategic direction?
- Reflections on your Work as a Professional Consultant
– What approach will you take as a consultant in terms of working with your client, and why?
– What are the key lessons and challenges from your work as a professional consultant in this project?
- References
You must have at least 15 academic journal articles[1], as well as textbooks, business reports, government and companies’ websites, etc. Example:
Chang, X., Huang, Y., Li, M., Bo, X. and Kumar, S., 2021. Efficient detection of environmental violators: A big data approach. Production and Operations Management, 30(5), pp.1246-1270.
Eletter, S.F., Yasmin, T. and El Refae, G.A., 2019. Marketing intelligence in the era of Big Data. TEM Journal, 8(3), p.938.
Hosseini, S., 2021. A decision support system based on machined learned Bayesian network for predicting successful direct sales marketing. Journal of Management Analytics, 8(2), pp.295-315.
Moro, S., Cortez, P. and Rita, P., 2018. A divide‐and‐conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing. Expert Systems, 35(3), p.e12253.
Saghiri, S. and Mirzabeiki, V., 2021. Omni-channel integration: the matter of information and digital technology. International Journal of Operations & Production Management.
Shirazi, F. and Mohammadi, M., 2019. A big data analytics model for customer churn prediction in the retiree segment. International Journal of Information Management, 48, pp.238-253.
Brewer, T., & Rugman, A. (2001). The Oxford Handbook of International Business. Oxford: Oxford University Press.
Aggarwal, A. (2016). Managing big data integration in the public sector. Available at: http://www.worldcat.org/oclc/986504093.
Oshri, I., Kotlarsky, J., & Willcocks, L. P. (2015). The Handbook of Global Outsoucing and Offshoring. London: Palgrave Macmillan.
[1] You need at least 15 academic journal articles, if you want to achieve high grade (C, C+, B-, B, B+, A to A*)
