The Experts below are selected from a list of 201777 Experts worldwide ranked by ideXlab platform
Jörn Altmann - One of the best experts on this subject based on the ideXlab platform.
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GECON - Snooping Around a Fence: A Lesson from the Education Sector in a Software Service Ecosystem
Economics of Grids Clouds Systems and Services, 2019Co-Authors: Djamshid Sultanov, Kibae Kim, Jörn AltmannAbstract:Although the education sector has recognized the value of information technologies since the early 1990s, the advancement of education Services is not clearly shown in the information technology era. This paper visualizes the trace of education Services development in a Software Service ecosystem with real data about Software Services and their combinations resulting in composite Services. Our graphical analysis results show that education Services continuously emerge through reusing and recombining popular Software Services such as Google Maps and Facebook, although only a few education Software Services open their functions and data to the ecosystem. Moreover, our analysis results show that there no Service groups that are built around education Services. Our findings suggest that the education sector is immature within the Software Service ecosystem and that a Software Service sector has not been formed yet.
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On the time lag of the effect of network position on Service performance in Software Service networks
Information & Management, 2019Co-Authors: Kibae Kim, Jörn Altmann, Wonjoon KimAbstract:Abstract We examine whether a time lag exists before the network position of a Software Service affects its performance. Moreover, we analyze different time lags, using empirical data about Software Services and their usage for creating composite Services. Our results show that Software Services in central positions (i.e., high betweenness centrality) attract users the most. The highest effect exhibits, if the time lag is 26–32 months. Our findings are relevant, as they can guide developers in marketing their Software Services and are expected to impact innovation studies regarding the importance of considering time lags and analyzing complementary knowledge.
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Evaluating investments in portability and interoperability between Software Service platforms
Future Generation Computer Systems, 2018Co-Authors: Netsanet Haile, Jörn AltmannAbstract:Within a closed ecosystem, end-users cannot interoperate with other platforms or port their Software and data easily without a cost for interface integration or data re-formatting. The customers of these closed Software Service platforms are locked-in. Potential customers, who are aware of this lock-in issue, are hesitant to adopt a closed Software Service platform, slowing down the wide deployment of the Software Service platform. This paper applies an economic perspective to investigate the value creation for providers and users at different levels of interoperability. For the analysis, a value creation model for Software Service platforms within a Software Service ecosystem has been developed. Simulations of the value creation model show that, even if investments in interoperability and portability are aimed at addressing user requirements, their impact also drives the providers’ profitability. Furthermore, emerging providers require investing more than market leading providers, as they have less power to set de facto standards. The simulation results also show that there is an optimal level of investments, with respect to profit and return on investments. Overall, from these results, platform providers cannot only obtain an understanding on how investments in interoperability and portability impact cost, enable cost-effective Service integration, and create value, but also design new strategies for optimizing investments.
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value creation in Software Service platforms
Future Generation Computer Systems, 2016Co-Authors: Netsanet Haile, Jörn AltmannAbstract:In order to benefit from operating an IT Service platform (e.g., SaaS platform), platform providers need to find a way to keep their existing users and application Services active sources of value. However, the understanding of how to achieve that is limited due to the newness of this kind of business. This paper investigates whether all stakeholders of the platform ecosystem can generate sufficient value when participating in the platform. As stakeholders, we consider application Service users, Service developers, and Service platform providers. We also analyse the interrelationship between these stakeholders. The analysis outcome is a value creation model that allows the calculation of the stakeholders' values. The model also helps inferring the relative impact of different factors on the evolution of values of the Software Service platform stakeholders. Our simulation results confirm that all stakeholders of a Service platform mainly benefit from a growing installed base of application users. However, in a mature market, a large Service variety mainly benefits the Service platform provider, while the other stakeholders obtain a reduced increase in their benefits. In particular, the utility growth of application users becomes constrained as the benefit from new connections with other users decreases and the number of new Services used decreases. Similarly, the revenue of Service developer decreases, making Service development less profitable. Therefore, we can state that not only a large fraction of the value creation goes to the platform provider but also that the Software Service ecosystem can collapse, if no mutually beneficial pricing of Services is implemented. Design of a value creation model for Software Service platforms.Simulation of three platform scenarios with the help of the value creation model.Discussion and implications of the value distribution within Software Service ecosystems.
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Structural analysis of value creation in Software Service platforms
Electronic Markets, 2015Co-Authors: Netsanet Haile, Jörn AltmannAbstract:Abstract As Software Service platforms grow in number of users and variety of Service offerings, it raises the question of how this phenomenon impacts the value obtained by users. This paper identifies system usability, Service variety, and personal connectivity to be the major determinants that contribute to the value offered to users on mobile Software Service platforms. A structural equation model, which is based on utility theory, technology acceptance theory, and the theory of network externalities, has been constructed from seven observed constructs, reflecting the three determinants and the user value. The lower bound of user value is estimated through the user’s willingness-to-pay for Services and the user’s willingness to spend time on using Services. For the validation, a co-variance-based structural equation analysis has been conducted on online survey data of 210 users of mobile Service platforms (e.g., Android, iOS). The results show that the number of Services used and the number of active user connections were found to be the strongest constructs explaining user value. Perceived usefulness did not explain user value as much. In total, they can explain 49 % of the value that the user receives from the platform. The implication of this result is that users’ value from a Software Service platform cannot be explained by the technology acceptance model itself. Instead, an approach that, as used in this research, of integrating network externality theory, utility theory, and technology acceptance theory is necessary.
Netsanet Haile - One of the best experts on this subject based on the ideXlab platform.
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Evaluating investments in portability and interoperability between Software Service platforms
Future Generation Computer Systems, 2018Co-Authors: Netsanet Haile, Jörn AltmannAbstract:Within a closed ecosystem, end-users cannot interoperate with other platforms or port their Software and data easily without a cost for interface integration or data re-formatting. The customers of these closed Software Service platforms are locked-in. Potential customers, who are aware of this lock-in issue, are hesitant to adopt a closed Software Service platform, slowing down the wide deployment of the Software Service platform. This paper applies an economic perspective to investigate the value creation for providers and users at different levels of interoperability. For the analysis, a value creation model for Software Service platforms within a Software Service ecosystem has been developed. Simulations of the value creation model show that, even if investments in interoperability and portability are aimed at addressing user requirements, their impact also drives the providers’ profitability. Furthermore, emerging providers require investing more than market leading providers, as they have less power to set de facto standards. The simulation results also show that there is an optimal level of investments, with respect to profit and return on investments. Overall, from these results, platform providers cannot only obtain an understanding on how investments in interoperability and portability impact cost, enable cost-effective Service integration, and create value, but also design new strategies for optimizing investments.
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value creation in Software Service platforms
Future Generation Computer Systems, 2016Co-Authors: Netsanet Haile, Jörn AltmannAbstract:In order to benefit from operating an IT Service platform (e.g., SaaS platform), platform providers need to find a way to keep their existing users and application Services active sources of value. However, the understanding of how to achieve that is limited due to the newness of this kind of business. This paper investigates whether all stakeholders of the platform ecosystem can generate sufficient value when participating in the platform. As stakeholders, we consider application Service users, Service developers, and Service platform providers. We also analyse the interrelationship between these stakeholders. The analysis outcome is a value creation model that allows the calculation of the stakeholders' values. The model also helps inferring the relative impact of different factors on the evolution of values of the Software Service platform stakeholders. Our simulation results confirm that all stakeholders of a Service platform mainly benefit from a growing installed base of application users. However, in a mature market, a large Service variety mainly benefits the Service platform provider, while the other stakeholders obtain a reduced increase in their benefits. In particular, the utility growth of application users becomes constrained as the benefit from new connections with other users decreases and the number of new Services used decreases. Similarly, the revenue of Service developer decreases, making Service development less profitable. Therefore, we can state that not only a large fraction of the value creation goes to the platform provider but also that the Software Service ecosystem can collapse, if no mutually beneficial pricing of Services is implemented. Design of a value creation model for Software Service platforms.Simulation of three platform scenarios with the help of the value creation model.Discussion and implications of the value distribution within Software Service ecosystems.
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Structural analysis of value creation in Software Service platforms
Electronic Markets, 2015Co-Authors: Netsanet Haile, Jörn AltmannAbstract:Abstract As Software Service platforms grow in number of users and variety of Service offerings, it raises the question of how this phenomenon impacts the value obtained by users. This paper identifies system usability, Service variety, and personal connectivity to be the major determinants that contribute to the value offered to users on mobile Software Service platforms. A structural equation model, which is based on utility theory, technology acceptance theory, and the theory of network externalities, has been constructed from seven observed constructs, reflecting the three determinants and the user value. The lower bound of user value is estimated through the user’s willingness-to-pay for Services and the user’s willingness to spend time on using Services. For the validation, a co-variance-based structural equation analysis has been conducted on online survey data of 210 users of mobile Service platforms (e.g., Android, iOS). The results show that the number of Services used and the number of active user connections were found to be the strongest constructs explaining user value. Perceived usefulness did not explain user value as much. In total, they can explain 49 % of the value that the user receives from the platform. The implication of this result is that users’ value from a Software Service platform cannot be explained by the technology acceptance model itself. Instead, an approach that, as used in this research, of integrating network externality theory, utility theory, and technology acceptance theory is necessary.
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value creation in Software Service platforms
Research Papers in Economics, 2015Co-Authors: Netsanet Haile, Jörn AltmannAbstract:In order to benefit from operating an IT Service platform (e.g., SaaS platform), platform providers need to find a way to keep their existing users and application Services active sources of value. However, the understanding of how to achieve that is limited due to the newness of this kind of business. This paper investigates whether all stakeholders of the platform ecosystem can generate sufficient value when participating in the platform. As stakeholders, we consider application Service users, Service developers, and Service platform providers. We also analyze the interrelationship between these stakeholders. The analysis outcome is a value creation model that allows the calculation of the stakeholders’ values. The model also helps inferring the relative impact of different factors on the evolution of values of the Software Service platform stakeholders. Our simulation results confirm that all stakeholders of a Service platform mainly benefit from a growing installed base of application users. However, in a mature market, a large Service variety mainly benefits the Service platform provider, while the other stakeholders obtain a reduced increase in their benefits. In particular, the utility growth of application users becomes constrained as the benefit from new connections with other users decreases and the number of new Services used decreases. Similarly, the revenue of Service developer decreases, making Service development less profitable. Therefore, we can state that not only a large fraction of the value creation goes to the platform provider but also that the Software Service ecosystem can collapse, if no mutually beneficial pricing of Services is implemented.
Shajeer K Mohammed - One of the best experts on this subject based on the ideXlab platform.
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dependency analysis framework for Software Service delivery
IEEE International Conference on Services Computing, 2009Co-Authors: Rema Ananthanarayanan, Vijil Chenthamarakshan, Prasad M Deshpande, Raghu Krishnapuram, Shajeer K MohammedAbstract:Various phases in the delivery of Software Services such as solution design, application deployment, and maintenance require analysis of the dependencies of Software products that form the solution. As Software systems become more complex and involve a large number of Software products from multiple vendors, availability of correct and up-to-date system requirement information becomes critical to ensure proper functioning of managed and maintained Software solutions. System requirement information, is mostly made available in unstructured formats from sources such as websites or product documents and are not amenable to programmatic analysis. In this paper, we motivate the benefits of capturing this information in a structured format for Software Service delivery, and present a dependency analysis system that collects and integrates Software dependency/interoperability information from multiple unstructured sources using text mining techniques. Information hence collected, is used to support analytics useful in Software Service delivery. We report the results of our experiments on mining millions of web pages to collect dependency information for more than 700 Software products.
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IEEE SCC - Dependency Analysis Framework for Software Service Delivery
2009 IEEE International Conference on Services Computing, 2009Co-Authors: Rema Ananthanarayanan, Vijil Chenthamarakshan, Prasad M Deshpande, Raghu Krishnapuram, Heng Chu, Shajeer K MohammedAbstract:Various phases in the delivery of Software Services such as solution design, application deployment, and maintenance require analysis of the dependencies of Software products that form the solution. As Software systems become more complex and involve a large number of Software products from multiple vendors, availability of correct and up-to-date system requirement information becomes critical to ensure proper functioning of managed and maintained Software solutions. System requirement information, is mostly made available in unstructured formats from sources such as websites or product documents and are not amenable to programmatic analysis. In this paper, we motivate the benefits of capturing this information in a structured format for Software Service delivery, and present a dependency analysis system that collects and integrates Software dependency/interoperability information from multiple unstructured sources using text mining techniques. Information hence collected, is used to support analytics useful in Software Service delivery. We report the results of our experiments on mining millions of web pages to collect dependency information for more than 700 Software products.
Feng Yang - One of the best experts on this subject based on the ideXlab platform.
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Design of a Trust Management Framework in Software Service Coordination
Computer Science, 2003Co-Authors: Feng YangAbstract:Internet-based Web application systems are gradually built as Software Service coordination systems. In an openi dynamic and collaborative application environment, traditional methods assumed with closeness, centralization and independence are not able to cope with these security problems efficiently. Trust management is a new method for dealing with security issues of open, distributed network application system. However, the traditional policy-based trust management systems have some shortcomings, i. e. complex in policy making, unable to deal with negative security credentials, etc. So, we design a trust management framework in combination with subjective trust model for Software Service coordination and security decision in Internet environment. This trust management framework has characteristics of operability, reasonability, and flexibility in policy setting.
Rema Ananthanarayanan - One of the best experts on this subject based on the ideXlab platform.
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dependency analysis framework for Software Service delivery
IEEE International Conference on Services Computing, 2009Co-Authors: Rema Ananthanarayanan, Vijil Chenthamarakshan, Prasad M Deshpande, Raghu Krishnapuram, Shajeer K MohammedAbstract:Various phases in the delivery of Software Services such as solution design, application deployment, and maintenance require analysis of the dependencies of Software products that form the solution. As Software systems become more complex and involve a large number of Software products from multiple vendors, availability of correct and up-to-date system requirement information becomes critical to ensure proper functioning of managed and maintained Software solutions. System requirement information, is mostly made available in unstructured formats from sources such as websites or product documents and are not amenable to programmatic analysis. In this paper, we motivate the benefits of capturing this information in a structured format for Software Service delivery, and present a dependency analysis system that collects and integrates Software dependency/interoperability information from multiple unstructured sources using text mining techniques. Information hence collected, is used to support analytics useful in Software Service delivery. We report the results of our experiments on mining millions of web pages to collect dependency information for more than 700 Software products.
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IEEE SCC - Dependency Analysis Framework for Software Service Delivery
2009 IEEE International Conference on Services Computing, 2009Co-Authors: Rema Ananthanarayanan, Vijil Chenthamarakshan, Prasad M Deshpande, Raghu Krishnapuram, Heng Chu, Shajeer K MohammedAbstract:Various phases in the delivery of Software Services such as solution design, application deployment, and maintenance require analysis of the dependencies of Software products that form the solution. As Software systems become more complex and involve a large number of Software products from multiple vendors, availability of correct and up-to-date system requirement information becomes critical to ensure proper functioning of managed and maintained Software solutions. System requirement information, is mostly made available in unstructured formats from sources such as websites or product documents and are not amenable to programmatic analysis. In this paper, we motivate the benefits of capturing this information in a structured format for Software Service delivery, and present a dependency analysis system that collects and integrates Software dependency/interoperability information from multiple unstructured sources using text mining techniques. Information hence collected, is used to support analytics useful in Software Service delivery. We report the results of our experiments on mining millions of web pages to collect dependency information for more than 700 Software products.
