소프트웨어 라이선스의 채택 및 가격책정을 위한 의사결정 지원 모델 및 시뮬레이션

학위논문 (박사)-- 서울대학교 대학원 : 협동과정 기술경영·경제·정책전공, 2011.8. Altmann, Jörn.Docto

Software Resource Management Considering the Interrelations between Explicit Cost, Energy Consumption, and Implicit Cost: A Decision Support Model for IT Managers

Despite the fact that Software-as-a-Service (SaaS) adoption increases, the question whether SaaS is the right choice for an organization is still open. The main objective of this study is to propose the Software Licensing Selection Support (SL2S) model for selecting a SaaS Licensing (SaaSL) model or a Perpetual Software Licensing (PSL) model. The SL2S model considers different types of criteria under Green IT policies and sustainable IT resource conditions proposed in the literature. Based on the criteria that influence the selection of the software licensing type, we perform a sensitivity analysis, to understand the dependencies between explicit cost, implicit cost, and energy consumption. To validate the model, we constructed a scenario, in which a medium-sized company has to decide on a software licensing model. The scenario and its parameters were populated with data about CRM solutions of Salesforce.com and Microsoft, the SME definition of the European Commission, and several case studies. The results show that implicit cost criteria (25% of SaaSLM) are major decision factors. It suggests that a sustainable IT policy cannot only consider lowering cost (as a mean for lowering energy consumption) but also has to re-evaluate its relation to implicit cost criteria

Software Resource Management Considering the Interrelation between Explicit Cost, Energy Consumption, and Implicit Cost: A Decision Support Model for IT Managers

Despite the fact that Software-as-a-Service (SaaS) adoption increases, the question whether SaaS is the right choice for an organization is still open. The main objective of this study is to propose the Software Licensing Selection Support (SL2S) model for selecting a SaaS Licensing (SaaSL) model or a Perpetual Software Licensing (PSL) model. The SL2S model considers different types of criteria under Green IT policies and sustainable IT resource conditions proposed in the literature. Based on the criteria that influence the selection of the software licensing type, we perform a sensitivity analysis, to understand the dependencies between explicit cost, implicit cost, and energy consumption. To validate the model, we constructed a scenario, in which a medium-sized company has to decide on a software licensing model. The scenario and its parameters were populated with data about CRM solutions of Salesforce.com and Microsoft, the SME definition of the European Commission, and several case studies. The results show that implicit cost criteria (25% of SaaSLM) are major decision factors. It suggests that a sustainable IT policy cannot only consider lowering cost (as a mean for lowering energy consumption) but also has to re-evaluate its relation to implicit cost criteria.Software-as-a-Service (SaaS), software selection, Decision Support System, sensitivity analysis, perpetual software licensing model, Green IT, energy consumption, decision factor analysis, cost modeling, IT resource management competition

Agent-Based Simulations of the Software Market under Different Pricing Schemes for Software-as-a-Service and Perpetual Software

In this paper, we present agent-based simulations that model the interactions between software buyers and vendors in a software market that offers Software-as-a-Service (SaaS) and perpetual software (PS) licensing under different pricing schemes. In particular, scenarios are simulated, in which vendor agents dynamically set prices. Customer (or buyer) agents respond to these prices by selecting the software license scheme according to four fundamental criteria using Analytic Hierarchy Process (AHP) as decision support mechanism. These criteria relate to finance, software capability, organization, and vendor. Three pricing schemes are implemented for our simulations: derivative-follower (DF), demand-driven (DD), and competitor-oriented (CO). The results show that DD scheme is the most effective method but hard to implement since it requires perfect knowledge about market conditions. This result is supported through a price sensitivity analysisSoftware-as-a-Service pricing, perpetual software pricing, agent-based simulation, Analytic Hierarchy Process (AHP), dynamic pricing, decision support

Prioritizing enabling factors for successful Radio Frequency Identification (RFID) implementation : the application of a multi-criteria decision-making method

The purpose of this study is to prioritize enabling factors for successful Radio Frequency Identification (RFID) implementation. Multi-criteria decision making, based on Analytic Hierarchy Process (AHP) method was adopted for prioritizing enabling factors for successful RFID implementation. The study involves four phases, which include: (1) assessment of potential enabling factors and performance measures in RFID implementation; (2) development of the problem structure in order to form the AHP model; (3) soliciting experts' opinions; and (4) prioritise those enabling factors. Twelve experts, consisting of five academics and researchers, and seven suppliers and manufacturers of RFID, were interviewed. Expert ChoicerM software was used to calculate the normalized and unique priority weights. The results of the data analysis determined the relative importance of individual factors, and in turn identified the enabling factors on which organizations should consolidate their efforts in the process of implementing RFID. These factors include top management commitment, training and education of employees, establishing an effective business network, ensuring the technological compatibility among users, and implementing effective project management. Recommendations for practitioners (management) to implement this technology in both manufacturing and retailing business are proposed

Soft barriers to ICT application in development: trust and information quality in Russia

Research into the diffusion and use of ICTs often focuses on the adequacy of 'hard' factors in information infrastructures: technological elements which affect affordability and connectivity. This paper proposes that successful ICT application depends also upon 'soft' factors in domestic information infrastructures: legal, political, socio-cultural, and economic characteristics that affect not only ICTs but also the quality of information resources handled by those ICTs. Based on research data from Russia, the paper argues that one soft factor-trust-is critical for information quality and, hence, for ICT-based information systems success in transitional and developing economies. Copyright © 2002 John Wiley & Sons, Ltd.