Academic literature on the topic 'Software Pricing'

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Journal articles on the topic "Software Pricing"

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Mehta, Sanjay S., and Gurinderjit B. Mehta. "Software Development Project Pricing:." Journal of Customer Service in Marketing & Management 1, no. 3 (1995): 119–33. http://dx.doi.org/10.1300/j127v01n03_10.

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Lehmann, Sonja, and Peter Buxmann. "Pricing Strategies of Software Vendors." Business & Information Systems Engineering 1, no. 6 (2009): 452–62. http://dx.doi.org/10.1007/s12599-009-0075-y.

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Kephart, Jeffrey O., James E. Hanson, and Amy R. Greenwald. "Dynamic pricing by software agents." Computer Networks 32, no. 6 (2000): 731–52. http://dx.doi.org/10.1016/s1389-1286(00)00026-8.

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Xin, Mingdi, and Arun Sundararajan. "Nonlinear Pricing of Software with Local Demand Inelasticity." Information Systems Research 31, no. 4 (2020): 1224–39. http://dx.doi.org/10.1287/isre.2020.0940.

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Nonlinear usage-based pricing is applied extensively in software markets. Customers of software products usually cannot vary their required usage volume, a property we label local demand inelasticity. For instance, a client firm that needs a sales force automation software either buys one user license for every salesperson or does not buy at all. It is unlikely to buy licenses for some but not all salespersons. This demand feature violates a critical assumption of the standard nonlinear pricing literature that consumers are flexible with their usage volume, and their valuation changes smoothly
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Cusumano, Michael A. "The changing labyrinth of software pricing." Communications of the ACM 50, no. 7 (2007): 19–22. http://dx.doi.org/10.1145/1272516.1272531.

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Sun, Hong, Qian Wei Tu, Xiao Wan Wang, Jian Hong Zhang, Qian Zhong Wu, and Shou Wen Qin. "The Pricing and Charging of Cloud Computing SaaS." Advanced Materials Research 798-799 (September 2013): 703–7. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.703.

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In this paper, different mathematics models are applied to research the reasonable pricing of the cloud computing software products on the SaaS platform and explore the sales price of the cloud computing software products with the maximum total profits. These information can be the reference for decision-makers to determine the pricing strategy. The aim of this paper is for the cloud computing company to provide the majority of users with the inexpensive and excellent softwares and services, which can make the company dominate the cloud computing market quickly, gain the huge profits in the su
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Aggarwal, Ajay K., and Dinesh S. Dave. "Decision maker friendly approach for pricing software." International Journal of Computer Applications in Technology 36, no. 1 (2009): 60. http://dx.doi.org/10.1504/ijcat.2009.026671.

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Benaroch, Michel, and Ajit Appari. "Financial Pricing of Software Development Risk Factors." IEEE Software 27, no. 5 (2010): 65–73. http://dx.doi.org/10.1109/ms.2010.28.

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Tziasiou, Georgia T., George A. Orfanos, Pavlos S. Georgilakis, and Nikos D. Hatziargyriou. "Transmission pricing software for power engineering education." Computer Applications in Engineering Education 22, no. 3 (2011): 410–28. http://dx.doi.org/10.1002/cae.20565.

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Gatheral, J., Y. Epelbaum, Jining Han, et al. "Implementing option-pricing models using software synthesis." Computing in Science & Engineering 1, no. 6 (1999): 54–64. http://dx.doi.org/10.1109/5992.805136.

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Dissertations / Theses on the topic "Software Pricing"

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Singh, Angad S. M. Massachusetts Institute of Technology. "Technology software pricing in cloud computing era." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113527.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>The Software Industry has been constantly growing and setting path-breaking trends over the years. Cloud Computing is one such innovation that has brought a sea of change in the way people build and use software. Businesses are shifting their perspective from a model based on 'software ownership' to a model based on 'software as a service'. This paradigm shift in the industry has forced
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Wilczkowski, Susanna. "The Pricing Decision Process in Software-as-a-Service Companies." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-276464.

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This study examines various approaches used by companies providingsoftware-as-a-service (SaaS) in a business-to-business (B2B) environment to find a pricing strategy. To be able to meet competition in a global market, a good pricing strategy is vital. Pricing is an important part of marketing, which must be congruent with the company's overall objectives. Strategic pricing is made up of different factors represented in the strategic pricing pyramid, which is based on a value-based approach. It is paramount to know your customers and their preferences when designing a pricing strategy and selec
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Adelstrand, Carl, and Emil Brostedt. "Creating Competitive Advantage by Rethinking B2B Software Pricing." Thesis, KTH, Industriell marknadsföring, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188510.

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The choice of pricing model for software products is a complex procedure due to the different characteristics compared to physical products. This thesis investigates and compares software pricing models in a B2B setting, and describes how KAM plays a role in executing a pricing model. The research has been conducted as an opportunist case study on Adebro, a technology company in the B2B sector. The thesis have come to the following conclusions, with data from interviews and literature: Perpetual license is, and will continue to be, an attractive pricing model for Adebro. However, a subscriptio
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Ratnarajah, Thanujan. "Modeling the dynamics of software competition to find appropriate openness and pricing strategy." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/31166.

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Software firms can use open source development model combined with proprietary development model to increase their profitability. Open source development models can help software firms create products with better technical features at a lower price. Since open source development is a community based development method the popularity of the software among customers will also increase. Using open source development method with proprietary method will also require firms to sell the product at a lower price. This creates a challenge for the firms to find the optimal price and level of openness to
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Wang, Zhiyong S. M. Massachusetts Institute of Technology. "A computational method and software development for make-to-order pricing optimization." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35097.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2006.<br>Includes bibliographical references (p. 34).<br>High variability of demand and inflexible capacity are inevitable in a make-to-order production despite its cost savings. A computational method is proposed in this thesis to exploit pricing opportunities in the price elasticity of demand and the up-to-date order transactions. Software development possibility was considered based on such pricing optimization method. Based on experiments conducted using a software prototype, we concluded that using
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Pehrsson, Kirsten M. "Software development cost estimating models: an application of the hedonic pricing approach." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45910.

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<p>Software development cost estimating models were analyzed using an application of the hedonic pricing approach. Several recently proposed software cost estimating tools were surveyed for the purpose of revealing their roots in the hedonic pricing approach. The analysis includes discussion of the hedonic pricing approach, the logic of several software cost models, and analysis of the models' hedonic pricing traits.</p> <p> Hedonic prices are the implicit prices of attributes of I differentiated products as revealed in the market through attribute levels associated with market-clea
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Nayak, Shivashis. "Pricing and licensing of software products and services : a study on industry trends." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/42368.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2006.<br>Includes bibliographical references (p. 57-58).<br>The software product business reached the $150 billion mark at the end of 2005. The pricing and licensing of new products, maintenance services, services and service maintenance have become an important strategy to deliver smooth and steady revenue growth. The main objective of this thesis work is to observe the trends among various revenue prospects such as product sales, maintenance sales, service sales and service maintenance sales revenue.
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Ingmar, Johanna, and Emil Svensson. "Pricing Strategies for E-Sourcing SaaS." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-317209.

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There has been a recent, quick growth in the market for e-sourcing and e- procurement Software-as-a-Service (SaaS). However, the software products are not yet commoditized which opens up for different ways of pricing the services. This prompts us to ask the questions: how does technological development within an industry affect the price and what are the aspects of pricing that makes it sustainable and competitive for the future? To find out, an extensive literature study was conducted together with interviews, both with the case company Trade Extensions, as well as SaaS consumers, other SaaS
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Sermpinis, Georgios. "Evaluation and application of higher order neural networks in financial forecasting, value at risk and option pricing." Thesis, Liverpool John Moores University, 2009. http://researchonline.ljmu.ac.uk/5926/.

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BEITE, BÖRJESON LINA, and FRIDA ROGBERG. "Important Aspects when Taking Software as a Service to Market : A multi-case study in the ICT industry." Thesis, KTH, Industriell marknadsföring, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189462.

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The information and communication technology industry is constantly affected by rapid changes and new development in technology. During the recent years there is an emerging trend within IT outsourcing where scalable and flexible IT enabled capabilities are delivered as a service over the Internet, called cloud computing. Software as a Service (SaaS) is one of the most adopted cloud service models, which is a software distribution model where applications are hosted by a SaaS provider and made available to the customer over a network. Tieto is present in this fast changing industry and has rec
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Books on the topic "Software Pricing"

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Davidson, Neil. Don't just roll the dice: A usefully short guide to software pricing. Red Gate], 2009.

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Ken, Lewis. Software pricing for profit and growth in [name of geographic areas]: Benchmarks and best practices for competitive licensing and pricing. 2nd ed. Culpepper and Associates, 1998.

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Cattell, David. Construction item pricing: For more profit and less risk. UCT Press, 2012.

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The complete guide to option pricing formulas. McGraw-Hill, 1997.

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Haug, Espen Gaarder. The complete guide to option pricing formulas. 2nd ed. McGraw-Hill, 2007.

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Chriss, Neil. The Black-Scholes and beyond interactive toolkit: A step-by-step guide to in-depth option pricing models. McGraw-Hill, 1997.

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Office, General Accounting. Contract pricing: Defense contractor contributions to the Software Productivity Consortium : report to the chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. The Office, 1989.

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Office, General Accounting. Contract pricing: Material prices overstated in Pershing II contract : report to the Secretary of the Army. The Office, 1987.

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Office, General Accounting. Contract pricing: Material prices overstated on tank thermal sights : report to the Commander, U.S. Army Materiel Command. The Office, 1988.

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Office, General Accounting. Contract pricing: Overpricing of joint cruise missiles automatic test equipment : report to the Director, Cruise Missiles Project, Naval Air Systems Command. The Office, 1988, 1988.

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Book chapters on the topic "Software Pricing"

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Staritz, Matthias, Martin Klarmann, and Tobias Schäfer. "Software-Pricing." In Preismanagement auf Business-to-Business-Märkten. Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6491-5_15.

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Müller, Johannes. "Software-Industrie: Towards a Pricing Method for Software Product Lines." In Multikonferenz Wirtschaftsinformatik 2010. Göttingen University Press, 2010. http://dx.doi.org/10.17875/gup2010-1514.

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Meynkhard, Artur. "Effect of Bitcoin Volatility on Altcoins Pricing." In Software Engineering Perspectives in Intelligent Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63322-6_55.

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Kola, Kiran, Amit Chhabra, Ruppa K. Thulasiram, and Parimala Thulasiraman. "A Software Architecture Framework for On-Line Option Pricing." In Parallel and Distributed Processing and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11946441_68.

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Kwak, Youngsik, Yunkyung Lee, and Yoonsik Kwak. "The Development of Software Pricing Schemata and Its Application to Software Industry in Korea." In U- and E-Service, Science and Technology. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10580-7_2.

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Saltan, Andrey, Uolevi Nikula, Ahmed Seffah, and Alexander Yurkov. "A Dynamic Pricing Model for Software Products Incorporating Human Experiences." In Lecture Notes in Business Information Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40515-5_10.

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Book, Matthias, Volker Gruhn, and Rüdiger Striemer. "adVANTAGE: A Fair Pricing Model for Agile Software Development Contracting." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30350-0_15.

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Rohitratana, Juthasit, and Jörn Altmann. "Agent-Based Simulations of the Software Market under Different Pricing Schemes for Software-as-a-Service and Perpetual Software." In Economics of Grids, Clouds, Systems, and Services. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15681-6_5.

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Laatikainen, Gabriella, Alexander Semenov, Yixin Zhang, and Pekka Abrahamsson. "ICO Crowdfunding: Incentives, Pricing Strategy, Token Strategy and Crowd Involvement." In Agile Processes in Software Engineering and Extreme Programming – Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58858-8_4.

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Abstract Blockchain technologies provide means to develop services that are secure, transparent and efficient by nature. Unsurprisingly, the emerging business opportunities has gained a lot of interest that is realized in form of successful Initial Coin Offerings (ICOs) that are able to raise billions of USD through crowdfunding campaign. In this exploratory research we study 91 ICOs through content analysis in order to investigate the special characteristics of ICO crowdfunding as business models towards the possible investors. We found that ICOs can be described through (1) the model for providing incentives for investment, (2) the pricing strategy, (3) the token strategy and (4) the activities for crowd involvement in value co-creation.
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Laatikainen, Gabriella, and Eetu Luoma. "Impact of Cloud Computing Technologies on Pricing Models of Software Firms – Insights from Finland." In Software Business. Towards Continuous Value Delivery. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08738-2_17.

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Conference papers on the topic "Software Pricing"

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Alelyani, Turki, Ke Mao, and Ye Yang. "Context-Centric Pricing." In PROMISE: Predictive Modelling in Software Engineering. ACM, 2017. http://dx.doi.org/10.1145/3127005.3127012.

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Yang, Wujuan, and Xiaofei Qian. "The Pricing Strategy of Software." In CSAE 2020: The 4th International Conference on Computer Science and Application Engineering. ACM, 2020. http://dx.doi.org/10.1145/3424978.3425017.

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Wu, Qin, Min Wu, and Yunzhou Sun. "Analysis of software pricing based on binomial tree option pricing model." In 2020 International Conference on Information Science, Parallel and Distributed Systems (ISPDS). IEEE, 2020. http://dx.doi.org/10.1109/ispds51347.2020.00066.

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Wu Qin and Wei Ruxiang. "Study and application of military software pricing based on option pricing." In 2010 2nd International Conference on Software Technology and Engineering (ICSTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icste.2010.5608793.

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Wu Qin and Zhang Yadi. "The study of military software pricing based on option pricing models." In 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icacte.2010.5579405.

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Mao, Ke, Ye Yang, Mingshu Li, and Mark Harman. "Pricing crowdsourcing-based software development tasks." In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 2013. http://dx.doi.org/10.1109/icse.2013.6606679.

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Arshad, Sahar, Saeed Ullah, Shoab Ahmed Khan, M. Daud Awan, and M. Sikandar Hayat Khayal. "A Survey of Cloud Computing Variable Pricing Models." In 10th International Conference on Evaluation of Novel Software Approaches to Software Engineering. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005429900270032.

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Amadeu, Antonio L., Fernando Vinturin, Guilherme A. Zimeo Morais, Maickel Hubner, Eduardo M. Pereira, and Marcelo Santos. "Machine Learning based Pricing Methodology for the Logistic Domain: a Preliminary Approach." In Seminário Integrado de Software e Hardware. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/semish.2021.15819.

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In this work, we introduce a new methodology to discover logistic regions for pricing. We use value-based characteristics from different sources, such as demographic, socioeconomic, risk, transportation, among others, to find homogeneous and valuable pricing regions. The problem was formulated as a traditional cluster solution, where well-know metrics, such as BIC and silhouette score, were used for technical validation, and business premises and constraints, operational and sales, where used to enrich feature engineering and refine cluster formation. The results presented here are from a prel
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Shiliang Wu, Hans Wortmann, and Chee-wee Tan. "A pricing framework for software-as-a-service." In 2014 Fourth International Conference on Innovative Computing Technology (INTECH). IEEE, 2014. http://dx.doi.org/10.1109/intech.2014.6927738.

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He, Yumei, and Yang Sun. "Customized pricing strategy for software-as-a-service." In Multimedia Technology (IC-BNMT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icbnmt.2011.6155960.

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