Denis Becker

Becker, Denis; Gaivoronski, Alexei A. & Nesse, Per Jonny (2018)

Optimization-based profitability management tool for cloud broker

Transactions on Emerging Telecommunications Technologies, s. 1- 15. Doi: 10.1002/ett.3514

This paper represents a model that supports the choice of efficient service portfolios at a cloud service broker. Among the many types of different cloud service brokers, we focus on a firm that offers service bundles that are composed from different services of different internet software providers. The necessary integration, aggregation, and customization of services can be time consuming and costly. Whenever the cloud broker can choose from many service combinations, but has limited human resources with critical time to market, it is essential to prioritize some of the service bundles, markets, services, and internet software providers. The purpose of this paper is to facilitate this kind of decision. Moreover, both the time and resources required for creating service offerings and the customers' demand for these service bundles are subject to uncertainty. Because of this uncertainty, a cloud broker needs to be guided to potential service portfolios that give the best trade‐off between risk and profitability. Our model helps the decision maker to identify efficient service portfolios, ie, service portfolios that for a given risk have the highest profitability or for a given profitability have the lowest risk. Our paper shows the application of this model to a cloud broker that mediates mainly software as a service bundled with mobile subscriptions for telephony (calling and messaging) and internet access. The model is inspired by the ideas from financial portfolio optimization and product‐mix decisions under scarce resources. The model corresponds to a linear stochastic optimization problem with an objective function that balances risk and profitability.

Becker, Denis & Berg, Terje (2017)

Kostnadsfordeling under usikkerhet og risiko eksemplifisert med aktivitetsbasert kalkulasjon

Busch, Tor; Olaussen, Jon Olaf & Pettersen, Inger Johanne (red.). Bred og spiss! NTNU Handelshøyskolen 50 år: En vitenskapelig jubileumsantologi

Becker, Denis (2017)

Giret egenkapitalavkastningskrav for kontantstrømmer med begrenset levetid og gitt gjeldsfinansiering

Busch, Tor; Olaussen, Jon Olaf & Pettersen, Inger Johanne (red.). Bred og spiss! NTNU Handelshøyskolen 50 år: En vitenskapelig jubileumsantologi

Berg, Terje & Becker, Denis (2017)

The never-ending cost allocation puzzle – Treatment of Uncertainty and Risk

Cost Management, 31(3), s. 39- 47.

Becker, Denis & Gaivoronski, Alexei A. (2017)

Optimisation approach to target costing under uncertainty with application to ICT-service

International Journal of Production Research Doi: 10.1080/00207543.2016.1275870 - Fulltekst i vitenarkiv

Target costing is a modern approach applied during product development that defines cost targets for products and its components. These cost targets are driven by customer requirements and achievable revenues. The intention of this paper is the integration of target costing with modern concepts of modelling uncertainty and management of risk based on optimisation. Contrary to the traditional focus of target costing on cost targets, this paper prefers a strategy for achieving a target profit. Moreover, in this paper target costing is understood as a continuous process with incremental changes of cost drivers, product and component design as well as product prices. Therefore, the change in costs and profit with respect to aforementioned control parameters is modelled by linear approximations. Hence, improved decisions concerning design and prices are derived by linear programming models. In practice, information concerning product and component costs, demand or customer preferences are not given with certainty. Therefore, we apply a stochastic programming approach to manage the risk inherent in the target costing process. After a general presentation, we apply our approach to the provision of an information and communication technology service where the level of uncertainty is considerable.

Becker, Denis; Gaivoronski, Alexei A. & Nesse, Per Jonny (2016)

Service Portfolio Optimization of Cloud Broker

[Academic lecture]. Workshop and PhD Seminar in Management Accounting and Control.

Becker, Denis; Gaivoronski, Alexei A. & Nesse, Per Jonny (2016)

Activity Based Service Portfolio Optimization of Cloud Broker

[Academic lecture]. ICSP 2016: XIV International Conference on Stochastic Programming.

This paper represents a model for managing the service portfolio of a cloud broker. More precisely, we presume a cloud broker that operates a platform for integrating, aggregating and sales of cloud services. The cloud broker faces a limited amount of human resources which are necessary to deal with the legal, technical and economic activities that are required for this kind of endeavor. Hence, the cloud broker needs to decide which services, service bundles and markets to focus on. For this situation we develop an optimization problem that can be used to select the service program with the highest profit potential. Moreover, sales numbers, service prices and resource usage cannot be estimated with certainty, which implies the risk of missing financial and operational targets. The model therefore allows for balancing the expected profit against this risk. The resulting model can be classified as a combined stochastic assignment and knapsack-problem with several capacity constraints. The paper points out the short comings of traditional activity based management for this kind of practical problem.

Berg, Terje & Becker, Denis (2015)

Cost-Based Pricing by Means of Cost Allocation under Uncertainty and Risk

[Academic lecture]. 12th Annual Conference for Management Accounting Research.

Gaivoronski, Alexei A. & Becker, Mike Denis (2008)

Quantitative Networks Analysis and Modeling of Networked Multiagent Environment

[Article in business/trade/industry journal]. Telektronikk, s. 76- 94.