This study assessment covers multiple aspects of business decision-making and terms and factors which are used in relation to it like NPV, payback time as well as financial/non-financial variables.
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Table of Contents INTRODUCTION...........................................................................................................................3 TASK 1............................................................................................................................................3 2. Calculation of NPV............................................................................................................3 3. Analysis:.............................................................................................................................4 4. Practical implications:........................................................................................................6 CONCLUSION................................................................................................................................6 REFERENCES................................................................................................................................7
INTRODUCTION Business Decision-making is an intrinsic aspect of modern managerial and governance within business. Basically, the main role of management is taking fair or sensible decision- making. It involves all critical steps involved in taking business related decisions. Decisions taken by managers should bear a value for business also according to the business needs and requirements (Zeng, Chen and Li, 2016). This study assessment covers multiple aspects of business decision-making and terms and factors which are used in relation to it like NPV, payback time as well as financial/non-financial variables. TASK 1 1. Calculation of the payback period For Project A Calculation of payback period of project A YearNet FlowTotal 18000(40000) 212000(32000) 316000(20000) 420000(4000) 530000 Payback period =3 years and 2.4 months. For Project B YearNet FlowTotal 110000(60000) 220000(50000) 325000(30000) 430000( 5000) 540000 The Payback Period is: 3 years and 2. months. 2. Calculation of NPV Year Net Cash Flow£Discount Factor At 12% Present Value 18000.8937144
212000.7979564 316000.71211392 420000.63612710 530000.59317010 Total57830 Net present value: Total present value – Initial investment The NPV =£57830.82 –£40000 =£17830.82 Calculation of Net present value of project B Year Net Cash Flow£Discount Factor At 12% Present Value 110000.8938930 220000.79715940 325000.71217800 430000.63619080 540000.59322680 Total84430 Net present value: Total present value – Initial investment £84430 –£60000 =£24430 3. Analysis: Net Present Value:This is key aspect and techniques employed in business decision-making. This quite signifiant method to assess the actual viability of any investment/project. Here in it, cash flows are multiplied by present value factor based on specific percentage i.e. generally cost of capital over project's life. Thereafter, such present value of cash-flow is deducted from initial cost or investment incurred (Wieder and Ossimitz, 2015). Positive figure reflects favourable indication that project is viable while managers should generally not adopt project/investment with negative NPV should be avoided. As per above computation of NPV it has been derived that NPV of project B is24430while of project A is17830.82thus project with higher NPV will be more viable i.e. Project B. Benefit: It more accurately reflects results for decision making as it involve use of discounting factor and present value of cash flows.
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Computation is quite quick as in comparison of its significance in decision making and allow to choose most cost effective alternative among more than one options (Collier, 2015). Disadvantage: Work of assumption involved in computation of NPV as here percentage to derive present value factors is selected project managers which often result in ambiguous outcomes. Projects bearing different useful life can not be easily selected though outcomes of NPV. Payback Period:It another critical technique which support effective business decision-making. It helps to assess the timeline a company needs to return from any venture as against its actual initial cost/investment. In other terms, time period needed for achieving the BEP condition along with generating reasonable amounts of income from their projects (Wang and Byrd, 2017). Project A and B's payback period review offers an advantage to determine the feasibility together with their effectiveness. As per above assessment of payback period with respect to Project A and B it has been derived that payback period of these projects are 2 years & 2.5 months and 3 years & 2 months respectively. Where as projects' life is 5 years thus it has project B would be more feasible as it will recover the initial investment within short period as compare to other project. Benefits: It is quite easiest and simplest manner for assessment of decisions' viability as least payback period project is regarded as most beneficial. Disadvantages: Projectswithdifferentcash flowsand life-cyclecan notbe evaluatedthrough it sometimes as it emphasis on recovery of initial cost (Fry, 2019). Financial and Non-financial Factors Analysis: Considerationoffinancialandnon-financialfactorsiscrucialforenhancingthe effectiveness of financial and business decisions. Herefinancial factorsinvolves interest rate and current economical growth. As project with lower interest should will provide more financial benefits. Interest rate are percentage of interest which is to paid by enterprise upon amount borrowed. While economic growth is also a determining factor in taking any business decision.
As UK's economy is developing and favourable for investors but businesses should keep watch the economic growth movement before taking any decision (Kumar and Dash, 2016). Non Financial factors are also play crucial role in business decision-making as they also directly and indirectly affects decisions of corporations. Here SWOT is effective tool which covers all the non-fiscal factors. SWOT is an efficient method that helps to determine the strong points and vulnerabilities connected with a venture or an organization, together with identifying opportunities which can be properly seized with the appropriate use of the-same. Threats may also be surmount through the use of efficient weakness controls. This assist in making decisions abouttheprofitabilityandrisksassociatedwithaventure.StudyPESTLEisamacro- environmental study that helps determine the effect of external influences on any project or organization. It helps to recognize the relevant opportunities and risks to the potential. Thus analysis of all such variables can enhance the efficiency of decisions (Keren and Wu, 2015). 4. Practical implications: As per above analysis it has been evaluated that Project A's payback is more favourable than of Project B. While if managers consider NPV then Project B's is more appropriate with higher NPV as compare to Project B. Thus managers should also consider other financial and non financial factors for more accurate decision-making. However, NPV is more preferable base here for taking decision as there is no major gap in payback periods between both projects. NPV is more accurately defines the profitability of project but consideration of other factors can not be ignored here (Black, 2019). CONCLUSION From above study it has been articulated that decision-making is critical task in business and require consideration of multiple variables and aspects. Ignorance of financial and non- financial factors can lead to inaccuracies in decision-making phase within entity.
REFERENCES Books and Journals: Black, K.U., 2019.Business statistics: for contemporary decision making. Wiley. Collier, P.M., 2015.Accounting for managers: Interpreting accounting information for decision making. John Wiley & Sons. Fry, G.S., 2019.Business statistics a decision-making approach. Pearson Education Limited. Keren, G. and Wu, G. eds., 2015.The Wiley-Blackwell handbook of judgment and decision making. Wiley-Blackwell. Kumar, A. and Dash, M.K., 2016. Using DEMATEL to construct influential network relation map of consumer decision-making in e-marketplace.International Journal of Business Information Systems.21(1). pp.48-72. Wang, Y. and Byrd, T.A., 2017. Business analytics-enabled decision-making effectiveness throughknowledgeabsorptivecapacityinhealthcare.JournalofKnowledge Management.21(3). pp.517-539. Wieder, B. and Ossimitz, M.L., 2015. The impact of Business Intelligence on the quality of decision making–a mediation model.Procedia Computer Science.64.pp.1163-1171. Zeng, S., Chen, J. and Li, X., 2016. A hybrid method for Pythagorean fuzzy multiple-criteria decisionmaking.InternationalJournalofInformationTechnology&Decision Making.15(02). pp.403-422.