Selection Of Cloud Vendors For Amcor Limited – Financial Analysis

Case Study Details

Which Cloud Services to implement in Amcor Limited?

The financial and economical analysis of any situation is required for taking any decisions in project. The implication of the improved analysis is based on the preliminary financial analysis and it would also act as the proper reporting of the operations for forming the utilization of the activities favouring the implication of the operations aligning the development. The effective financial analysis would be developed for forming the implication of the activities for utilizing the information processing. The financial statement analysis is done for forming the study of relationships between the financial position and income statement of the organization. It is very helpful for making key decisions for the varied operations. The study had aimed for utilizing the deployment of the activities and forming the implication of the operations using the effective implication of the operations. The financial analysis had been considered for utilizing the implication of the effective implication of the operations.

The following report had been made for the selection of cloud vendor for Amcor Industries based on the economic and financial analysis. It would result in forming the simplification of the effective decision making for the selecting appropriate cloud vendor for the organization. The analysis would be based on the risk involved in the project and forming the deployment of the effective cloud vendor selection. The financial analysis would be helpful for calculating the cash inflow and outflow for the services provided by cloud vendor. The analysis of the project case would be based on the balance sheet and income statements. The sensitivity analysis would allow the calculation of the effective modification of the system development. The utilization of the operations would be helpful for forming the deployment of the successive analysis of the activities for forming the implementation of the activities.

The organization of Amcor Industries is famous for the alignment of the effective operation development and it would also be aligned with the improvement of the effective alignment of the development model (Kumarasiri & Jubb, 2017). The Amcor Industries is one of the biggest packaging companies and it would be based on the alignment of the successive development of the activities favouring the utilization of the improved operation development. The company has been manufacturing packaging for food, healthcare products, beverages, and tobacco products. The packaging of the goods protects their integrity and constituent and hence Amcor Industries has been aligning with the development of the successive communication process. The food materials would have to be kept fresh from the probability of being stale with passage of time. The implication of the cloud network is a major factor that would form the effect on the operations of the organization. The cloud network development would allow the formation of the effective implementation of the operations and develop the improved operation development (Adams, 2014). The analysis would also be resulted for the formation of the successive management of the operations for improved analysis.

Financial assumptions of modeling and analysis

The cloud network deployment would allow them for forming the implementation of the successive development of operations. However, there are 3 types of cloud vendors that can be implied for forming the implication in Amcor Industries.  The three types of cloud vendors are IaaS, PaaS, and SaaS that can be implemented by Amcor Industries. The IaaS cloud services provide services based on the information as the primary element. The PaaS cloud services provide services based on the platform as the primary element. The SaaS cloud services provide services based on the software as the primary element. The selection of the cloud vendor from the three types of vendor would be aligned with the implication of the successive alignment of the operations. The services of the activities would be aligned for the implementation of the activities based on the functionalities of the three cloud vendors of SaaS, IaaS, and PaaS. The integration has supported the possibilities of aligning the implication of the activities for forming the development of the organization. The selection of cloud network had been based for being analysed in terms of financial and economic analysis. The analysis had resulted in forming the considerations of the financial and economic conditions of the organization due to the implication of the activities of cloud.

The financial assumptions of the three cloud vendors would be based on the model of pricing used by the cloud vendor. The various pricing schemes common in cloud deployment are fixed pricing, dynamic pricing, and market dependent pricing (Carbognin et al., 2015). These three pricing models are being prominently used for implication of the effective implication of the operations. The financial assumptions would be eased by the development of the successive alignment of the operations. It would also form the utilization of the models for easing the implication of the cloud computing technology.

Fixed Pricing Model: The fixed pricing is the most used pricing model used by most of the cloud vendors (Quinn & Davis, 2015). The fixed pricing works on the principle of fixing a specific amount of money before the implication of the effective utilization of the operations favouring the deployment of the operations. The pay per use pricing is the most common example for fixed pricing model for cloud. The customers would have to pay for the uses of the operations of cloud computing services. The fixed pricing model also includes the implication of the subscription and list pricing. The price is set by the service provider and it remains constant for the whole project lifecycle. However, the pricing is unfair for the clients as they might have to pay more that theri utilization.

Risk Involved in case project

Dynamic Pricing Model: The dynamic pricing model is another major factor that would be helpful for the getting the price of real time services in the organization (Li, 2014). The price of the resources would be determined by the implication of the services provided instead of a fixed price on a whole. The dynamic pricing is implied for forming the implication of the successive deployment of the activities exploiting the payments capability of the users.

Market Dependent Pricing Model: The market dependent pricing is deployed for forming the implication of the real time analysis of the market condition and the factors of constraints (Carbognin et al., 2015). The customers are allowed for paying the cloud vendor based on the successive conditions of the activities favouring the alignment of the schemes like bargaining, auction, yield management, and dynamic market. The pricing is based on the cloud demand and supply.

The pricing table for IaaS cloud structure that can be implemented in Amcor Industries is shown below,

	Standard Storage	Reduced redundancy storage
First 1 TB / month	$0.0390 per GB	$0.0312 per
Next 49 TB / month	$0.0306 per GB	$0.0383 per GB
Next 450 TB / month	$0.0301 per GB	$0.0377 per GB
Next 500 TB / month	$0.0296 per GB	$0.0370 per GB
Next 4000 TB / month	$0.0291 per GB	$0.0364 per GB
Over 5000 TB / month	$0.0306 per GB	$0.0357 per GB

The pricing table for PaaS cloud structure that can be implemented in Amcor Industries is shown below,

Resource	Unit	Unit cost
Frontend Instances	Instance hours	$0.05/$0.10/$0.
Outgoing Network Traffic	Gigabytes	$0.30
Datastore Storage	Gigabytes per month	$0.12
Dedicated Memcache	Gigabytes per hour	$0.18
Blobstore, Logs, and Task	Gigabytes per hour	$0.06
Queue Stored Data	Gigabytes per month	$0.026

The pricing table for SaaS cloud structure that can be implemented in Amcor Industries is shown below,

Product	Description	Price (per user per month)
Contact Manager	Contact management for up to 5 users	$5
Group	Basic sales & marketing for up to 5 users	$25
Professional	Complete CRM for any size team	$65
Enterprise	Customize CRM for entire business	$125
Unlimited	Unlimited CRM power and support	$250

Some other Assumptions for the selection of cloud vendor implementation for Amcor Industries are given below,

Factor	Description
Interest rate	The implication of the effective development of the operations would be assisted by the development of the operations favouring the alignment of the development model. The interest rate for the investment of the cloud implementation would be calculated at 5% per annum. It would form the development of the activities favouring the alignment of calculation of the returns on the investments of the project.
Inflation	The inflation is the sudden rise in the prices of the commodities and product. The calculation of the inflation would be dependent on the successive hike in the prices of the commodities. It would result in forming the decrease in the profits of the organization. The alignment of the improved operations had been dependent on the formation of the cohesive inflation adjustments.
Project Lifecycle	The project lifecycle for all the three cloud vendors would be aligned with the similar alignment of the activities favouring the alignment of the operations. The lifecycle would help them for using the effective implication of the activities favouring the utilization of the operations and development of the improved step by step implementation of the cloud services.
Exchange rate	The exchange rate would be helpful for the calculation of the specific prices of the cloud vendor in terms of the same currency. It would help in easing the process of the analysing the economic feasibility of the options and select the most appropriate one from the available options.

 

The implication of the cloud services is developed for spending money on the vital systems of the project. The operating expenses of the project would be based on the alignment of the successive deployment of the activities (Scharfstein et al., 2018). The cloud computing provides the ease of effective operation development. However, the implication of the cloud computing have both direct and indirect economic impact on the organization. These issues might result in forming the hindrance for the adoption of the cloud computing facilities in Amcor. The loss to the organization of the Amcor due to the economic issues of cloud computing implementation can impact on its operations and future development plans too (Almorsy, Grundy & Muller, 2016). The direct economic issues of implementing the cloud computing are changes in network strength and issues in retention of organizational capacity.

Changes in Network Strength: The major issues in the development of the cloud computing is the changes in network strength (Hashem et al., 2015). The alteration of the network connection would involve the development of the strength of communication network. The application software programs are compatible with the specific OS for network effects in major role for the alignment of the market equilibrium. The consumers have been using the operating system comprising of the use of the large variety of application software. The developers have preferred the development of the software for user specific. The alignment of the activities has also focused on the deployment of the effective operation management. The changes in the network would tend to form the major issues for the organization to overcome the implication issues (Rittinghouse & Ransome, 2016). The changes in network connection might also result in forming the sincere alignment issues for the organization to overcome the development issues. The operations are dependent on the network strength of the organization as most of the activities and information transfer is dependent on the existing network connectivity.

Retention of organization capacity: The retention of the organization capacity would result in keeping the performance of the organization checked for the implication of the existing facilities and development of the final outcomes (Almorsy, Grundy & Muller, 2016). The cloud development has been done for easing the operations of Amcor. The integration has supported the possibilities of aligning the implication of the activities for forming the development of the organization. The selection of cloud network had been based for being analysed in terms of financial and economic analysis. However, the problems of performance issues due to the inexperience of the staffs and employees for managing the cloud operations would tend to delay the activities. The overall performance might get delayed due to the lack of knowledge and training for the staffs who are using cloud services based operations. The alignment of the activities has also focused on the deployment of the effective operation management. The changes in method of operations might also result in forming the alignment of issues for the organization to overcome the development operations (Botta et al., 2016). The operations are dependent on the methods of communication of the organization too as most of the activities and information transfer is dependent on the cloud network.

The indirect economic issues also play a major role in harming the development and deployment of the cloud computing facility for the organization. The indirect economic issues of implementing the cloud computing facilities for Amcor Industries are compatibility issues and cyber security. These two points have been explained below,

Compatibility Issues: The compatibility of the existing data would result in forming the major issues for the deployment of the effective operational development (Rittinghouse & Ransome, 2016). The compatibility issues are resulted for the additional key issues and the compatibility of the operations. The relevant implication of the cloud would not be dependent on the effective analysis of the activities and the conveyance of the operations. The compatibility issues might turn up the major alignment issues of carrying out the activities of the project. The compatibility issues of the organization might not form the major impact on the alignment of the successive development tools. The issues in forming the utilization of the cloud activities would be dependent on the data compatibility (Botta et al., 2016). The absence of the compatibility would form the major hindrances in the operations that would result in forming the loss to Amcor Industries.

Cyber Security: The development of the cloud computing acts as a major factor that had resulted in forming the explicit development of the operations and alignment of the successive development of the activities (Hashem et al., 2015). The cloud computing makes the data and information available for the external users also and it had been seen that many hackers and cyber criminals have been using the hacking methods for extracting the information from the cloud database. The implication of the cloud computing had resulted in forming the issues for forming the explicit deployment of the operations favouring the remote access. The threats of cyber security would also play a major role in harming the development of the activities (Scharfstein et al., 2018). The cyber security issues would result in forming the economic as well as marketing loss to the organization. The brand name would get disrupted for aligning the implication of the activities.

Risk Analysis by PERT Method (Evaluation of the Loss)
Risk Factors	Optimistic Loss	Most Likely Loss	Pessimistic Loss	Expected Loss ((Lo+Lm+Lp)/6)	SD ((Lp-Lo)/6)	Variance
changes in network strength	$3,500.00	$4,800.00	$6,500.00	$2,466.67	$500.00	$250,000.00
retention of organization capacity	$2,750.00	$4,000.00	$6,250.00	$2,166.67	$583.33	$340,277.78
compatibility issues	$1,950.00	$3,500.00	$5,250.00	$1,783.33	$550.00	$302,500.00
cyber security	$5,000.00	$8,000.00	$10,000.00	$3,833.33	$833.33	$694,444.44

 
Cash Flow Statement of IaaS Cloud Vendor in Amcor

The cash flow statement for showing the cash inflow and outflow for IaaS cloud vendor option in Amcor Industries is given below,

IaaS	Year 0	Year 1	Year 2	Year 3	Year 4	Year 5	Year 6	Year 7	Year 8	Year 9	Year 10
Implementation cost	750000
Increase in revenue		250000	250000	250000	250000	250000	250000	250000	250000	250000	250000
Maintanence cost		15000	15000	15000	15000	15000	15000	15000	15000	15000	15000
Cashflow		235000	235000	235000	235000	235000	235000	235000	235000	235000	235000

The cash flow statement for showing the cash inflow and outflow for PaaS cloud vendor option in Amcor Industries is given below,

PaaS	Year 0	Year 1	Year 2	Year 3	Year 4	Year 5	Year 6	Year 7	Year 8	Year 9	Year 10
Implementation cost	900000
Increase in revenue		300000	300000	300000	300000	300000	300000	300000	300000	300000	300000
Maintanence cost		20000	20000	20000	20000	20000	20000	20000	20000	20000	20000
Cashflow		280000	280000	280000	280000	280000	280000	280000	280000	280000	280000

The cash flow statement for showing the cash inflow and outflow for SaaS cloud vendor option in Amcor Industries is given below,

SaaS	Year 0	Year 1	Year 2	Year 3	Year 4	Year 5	Year 6	Year 7	Year 8	Year 9	Year 10
Implementation cost	800000
Increase in revenue		272500	272500	272500	272500	272500	272500	272500	272500	272500	272500
Maintanence cost		17500	17500	17500	17500	17500	17500	17500	17500	17500	17500
Cashflow		255000	255000	255000	255000	255000	255000	255000	255000	255000	255000

The financial and economical analysis of any situation is required for taking any decisions in Amcor Industries. The effective financial analysis would be developed for forming the implication of the activities for utilizing the information processing (Daly et al., 2016). The financial statement analysis is done for forming the study of relationships between the financial position and income statement of the organization. It is very helpful for making key decisions for the varied operations. The NPV analysis for the cash flow of all the three scenarios are given below,

Financial Analysis
IaaS	Year 0	Year 1	Year 2	Year 3	Year 4	Year 5	Year 6	Year 7	Year 8	Year 9	Year 10
Implementation cost	750000
Increase in revenue		250000	250000	250000	250000	250000	250000	250000	250000	250000	250000
Maintanence cost		15000	15000	15000	15000	15000	15000	15000	15000	15000	15000
Cashflow		235000	235000	235000	235000	235000	235000	235000	235000	235000	235000
Discount factor @ 15%	15%	0.869565	0.756144	0.657516	0.571753	0.497177	0.432328	0.375937	0.326902	0.284262	0.247185
Present value		204347.8	177693.8	154516.3	134362	116836.5	101597	88345.2	76821.92	66801.67	58088.41
Total Present Value	1179411
Net Present Value	429410.6

Financial Analysis
PaaS	Year 0	Year 1	Year 2	Year 3	Year 4	Year 5	Year 6	Year 7	Year 8	Year 9	Year 10
Implementation cost	900000
Increase in revenue		300000	300000	300000	300000	300000	300000	300000	300000	300000	300000
Maintanence cost		20000	20000	20000	20000	20000	20000	20000	20000	20000	20000
Cashflow		280000	280000	280000	280000	280000	280000	280000	280000	280000	280000
Discount factor @ 15%	15%	0.869565	0.756144	0.657516	0.571753	0.497177	0.432328	0.375937	0.326902	0.284262	0.247185
Present value		243478.3	211720.2	184104.5	160090.9	139209.5	121051.7	105262.4	91532.5	79593.48	69211.72
Total Present Value	1405255
Net Present Value	505255.2

Financial Analysis
SaaS	Year 0	Year 1	Year 2	Year 3	Year 4	Year 5	Year 6	Year 7	Year 8	Year 9	Year 10
Implementation cost	800000
Increase in revenue		272500	272500	272500	272500	272500	272500	272500	272500	272500	272500
Maintanence cost		17500	17500	17500	17500	17500	17500	17500	17500	17500	17500
Cashflow		255000	255000	255000	255000	255000	255000	255000	255000	255000	255000
Discount factor @ 15%	15%	0.869565	0.756144	0.657516	0.571753	0.497177	0.432328	0.375937	0.326902	0.284262	0.247185
Present value		221739.1	192816.6	167666.6	145797.1	126780.1	110243.5	95863.95	83359.95	72486.92	63032.1
Total Present Value	1279786
Net Present Value	479786

The sensitivity analysis is done for analysing the implication of the effective deployment of the activities (Colaizzi et al., 2016). The use of the sensitivity analysis would allow the development of the activities favouring the comparison of the risk factors of Changes in Network Strength, Retention of organization capacity, Compatibility Issues, and Cyber Security. The following table would show the sensitivity analysis for the risk factors of implementing the cloud in Amcor based on the severity and probability data values,

Sensitivity Analysis for IaaS
	306110.3		306110.3
12%	577802.4	55000	1759608
13%	525167.2	60000	1754608
14%	475787.2	65000	1749608
15%	429410.6	70000	1744608
16%	385808.5	75000	1739608
17%	344771.9	80000	1734608
18%	306110.3	85000	1729608
19%	269649.7	90000	1724608
20%	235230.9	95000	1719608
21%	202708.3	100000	1714608
22%	171948.3	105000	1709608

Sensitivity Analysis for PaaS
	358344.2		358344.2
12%	425755.5	55000	1203344
13%	414023.1	60000	1198344
14%	402496.6	65000	1193344
15%	391170.5	70000	1188344
16%	380039.8	75000	1183344
17%	369099.2	80000	1178344
18%	358344.2	85000	1173344
19%	347769.8	90000	1168344
20%	337371.8	95000	1163344
21%	327145.5	100000	1158344
22%	317087	105000	1153344

Sensitivity Analysis for SaaS
	345992		345992
12%	407384.4	55000	1090992
13%	396699.6	60000	1085992
14%	386202.3	65000	1080992
15%	375887.4	70000	1075992
16%	365750.5	75000	1070992
17%	355786.8	80000	1065992
18%	345992	85000	1060992
19%	336361.8	90000	1055992
20%	326892.1	95000	1050992
21%	317579	100000	1045992
22%	308418.5	105000	1040992

The sensitivity analysis for the NPV calculated at 18% has shown that the PaaS cloud implementation has the greatest NPV for the varied IRR. Hence, the PaaS should be selected as the cloud implementation network.

The non financial decision making includes the analysis of the three types of clouds of IaaS, PaaS, and SaaS. The implication of cloud can be done for easing the operations of the organization and it would also help in forming the remote access in the cloud (Xia et al., 2016). The development of the cloud computing for the implication of the successive alignment of the improved operations might result in forming the major development of the activities. The features of the cloud vendor implementation have aligned with the implication of the features that need to be managed by the deployment of the activities.

The comparison of the three cloud vendors has been dependent on the owner and vendor responsibility. In IaaS cloud computing the applications, data, middleware, and operating system are dependent on the Amcor organization and virtualization, server, storage, and network are the responsibility of the cloud vendor provider (Ali, Khan & Vasilakos, 2015). In PaaS cloud computing the applications and data are dependent on the Amcor organization and middleware, operating system, virtualization, server, storage, and network are the responsibility of the cloud vendor provider. In SaaS cloud computing no responsibility is on Amcor organization and all the activities applications, data, middleware, operating system, virtualization, server, storage, and network are the responsibility of the cloud vendor provider (Wei et al., 2014). Hence, the PaaS would be most suitable as it would transfer most of the information to the cloud providing vendor while keeping the data and application under the grip of Amcor Organization.

Conclusion

The implication of the cloud vendor for PaaS would result in forming the successful implication for Amcor Industries. The report had been made for the selection of cloud vendor for Amcor Industries based on the economic and financial analysis. It resulted in forming the simplification of the effective decision making for the selecting appropriate cloud vendor for the organization. The analysis would be based on the risk involved in the project and forming the deployment of the effective cloud vendor selection. The financial analysis had helped for calculating the cash inflow and outflow for the services provided by cloud vendor. The net incomes with cloud were $737.00, $849.93, and $814.16 for IaaS, PaaS, and SaaS respectively. The analysis of the project case would be based on the balance sheet and income statements. The sensitivity analysis would allow the calculation of the effective modification of the system development. The utilization of the operations would be helpful for forming the deployment of the successive analysis of the activities for forming the implementation of the activities. The risk factors identified in the implementation are changes in network strength, retention of organization capacity, compatibility issues, and cyber security. The best alternative for the implementation of the cloud computing was PaaS for the Amcor Industries as PaaS provided user responsibility of 25%, cost price (for 1 TB) $30.00 and expected net income with cloud of $849.00.

References

Adams, M. A. (2014). Faulty lines in corporate law: issues for insurance policies. Governance Directions, 66(8), 504.

Ali, M., Khan, S. U., & Vasilakos, A. V. (2015). Security in cloud computing: Opportunities and challenges. Information sciences, 305, 357-383.

Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of the cloud computing security problem. arXiv preprint arXiv:1609.01107.

Amini, H., Cont, R., & Minca, A. (2016). Resilience to contagion in financial networks. Mathematical finance, 26(2), 329-365.

Bogdanov, D., & Breyer, C. (2016). North-East Asian Super Grid for 100% Renewable Energy supply: Optimal mix of energy technologies for electricity, gas and heat supply options. Energy Conversion and Management, 112, 176-190.

Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: a survey. Future Generation Computer Systems, 56, 684-700.

Canil, J., & Rosser, B. (2015). Australian evidence on CEO option grants.

Carbognin, L., Pilotto, S., Milella, M., Vaccaro, V., Brunelli, M., Caliò, A., … & Bronte, V. (2015). Differential activity of nivolumab, pembrolizumab and MPDL3280A according to the tumor expression of programmed death-ligand-1 (PD-L1): sensitivity analysis of trials in melanoma, lung and genitourinary cancers. PloS one, 10(6), e0130142.

Colaizzi, P. D., Evett, S. R., Agam, N., Schwartz, R. C., & Kustas, W. P. (2016). Soil heat flux calculation for sunlit and shaded surfaces under row crops: 1. Model development and sensitivity analysis. Agricultural and Forest Meteorology, 216, 115-128.

Daly, M. B., Pilarski, R., Axilbund, J. E., Berry, M., Buys, S. S., Crawford, B., … & Klein, C. (2016). Genetic/familial high-risk assessment: breast and ovarian, version 2.2015. Journal of the National Comprehensive Cancer Network, 14(2), 153-162.

Forouzanfar, M. H., Alexander, L., Anderson, H. R., Bachman, V. F., Biryukov, S., Brauer, M., … & Delwiche, K. (2015). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet, 386(10010), 2287-2323.

Frankfurter, G. M., & McGoun, E. G. (2018). From Unrealistic Assumptions to Realistic Theories?: Positive Financial Economics as a Catch-22. From Individualism to the Individual: Ideology and Inquiry in Financial Economics.

Hamdy, M., Sirén, K., & Attia, S. (2017). Impact of financial assumptions on the cost optimality towards nearly zero energy buildings–A case study. Energy and Buildings, 153, 421-438.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.

Iooss, B., & Lemaître, P. (2015). A review on global sensitivity analysis methods. In Uncertainty management in simulation-optimization of complex systems (pp. 101-122). Springer, Boston, MA.

Krishnan, Y. N., Bhagwat, C. N., & Utpat, A. P. (2015, February). Fog computing—Network based cloud computing. In Electronics and Communication Systems (ICECS), 2015 2nd International Conference on (pp. 250-251). IEEE.

Kumarasiri, J., & Jubb, C. (2017). FRAMING OF CLIMATE CHANGE IMPACTS AND USE OF MANAGEMENT ACCOUNTING PRACTICES. Asian Academy of Management Journal of Accounting & Finance, 13(2).

Legg, M. (2016). Class Action Settlement Distribution in Australia: Compensation on the Merits Or Rough Justice. Macquarie LJ, 16, 89.

Li, W. (2014). Risk assessment of power systems: models, methods, and applications. John Wiley & Sons.

Li, Z., Ma, Z., van der Kuijp, T. J., Yuan, Z., & Huang, L. (2014). A review of soil heavy metal pollution from mines in China: pollution and health risk assessment. Science of the total environment, 468, 843-853.

Lu, H. R., Whittaker, R., Price, J. H., Vega, R., Pfeiffer, E. R., Cerignoli, F., … & Gallacher, D. J. (2015). High throughput measurement of Ca++ dynamics in human stem cell-derived cardiomyocytes by kinetic image cytometery: a cardiac risk assessment characterization using a large panel of cardioactive and inactive compounds. Toxicological Sciences, 148(2), 503-516.

Mader, P. (2016). Questioning three fundamental assumptions in financial inclusion (No. IDS Evidence Report; 176). IDS.

Puntis, J. W. (2017). STPs are based on flawed financial assumptions. BMJ: British Medical Journal (Online), 359.

Quinn, J. C., & Davis, R. (2015). The potentials and challenges of algae based biofuels: a review of the techno-economic, life cycle, and resource assessment modeling. Bioresource technology, 184, 444-452.

Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management, and security. CRC press.

Roberts, G. B., & Heriot, K. C. (2014). Forecasting Demand: Sensitivity Analysis of Financial Assumptions Using MS Excel. Atlantic Marketing Journal, 3(3), 5.

Sanaei, Z., Abolfazli, S., Gani, A., & Buyya, R. (2014). Heterogeneity in mobile cloud computing: taxonomy and open challenges. IEEE Communications Surveys & Tutorials, 16(1), 369-392.

Scharfstein, D., McDermott, A., Díaz, I., Carone, M., Lunardon, N., & Turkoz, I. (2018). Global sensitivity analysis for repeated measures studies with informative drop?out: A semi?parametric approach. Biometrics, 74(1), 207-219.

Shirvan, K. M., Ellahi, R., Mirzakhanlari, S., & Mamourian, M. (2016). Enhancement of heat transfer and heat exchanger effectiveness in a double pipe heat exchanger filled with porous media: numerical simulation and sensitivity analysis of turbulent fluid flow. Applied Thermal Engineering, 109, 761-774.

Suter II, G. W. (2016). Ecological risk assessment. CRC press.

Tao, F., Cheng, Y., Da Xu, L., Zhang, L., & Li, B. H. (2014). CCIoT-CMfg: cloud computing and internet of things-based cloud manufacturing service system. IEEE Transactions on Industrial Informatics, 10(2), 1435-1442.

Wei, L., Zhu, H., Cao, Z., Dong, X., Jia, W., Chen, Y., & Vasilakos, A. V. (2014). Security and privacy for storage and computation in cloud computing. Information Sciences, 258, 371-386.

Xia, Z., Wang, X., Zhang, L., Qin, Z., Sun, X., & Ren, K. (2016). A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing. IEEE Transactions on Information Forensics and Security, 11(11), 2594-2608.

Zhang, Y., & Wallace, B. (2015). A sensitivity analysis of (and practitioners’ guide to) convolutional neural networks for sentence classification. arXiv preprint arXiv:1510.03820.