The Experts below are selected from a list of 2460 Experts worldwide ranked by ideXlab platform
Ben Van Vliet - One of the best experts on this subject based on the ideXlab platform.
-
a behavioral approach to the lean startup minimum viable product process the case of algorithmic financial systems
International Journal of Innovation Management, 2019Co-Authors: Ben Van VlietAbstract:This paper theorises about the behaviour of firms engaged in complex product systems innovation and engineering under the lean startup/minimum viable product process. In doing so, it fills a gap in...
-
A BEHAVIOURAL APPROACH TO THE LEAN STARTUP/minimum viable product PROCESS: THE CASE OF ALGORITHMIC FINANCIAL SYSTEMS
International Journal of Innovation Management, 2019Co-Authors: Ben Van VlietAbstract:This paper theorises about the behaviour of firms engaged in complex product systems innovation and engineering under the lean startup/minimum viable product process. In doing so, it fills a gap in...
-
A Behavioral Approach to the Lean Startup/minimum viable product Process: The Case of Algorithmic Financial Systems
2019Co-Authors: Ben Van VlietAbstract:This paper theorizes about the behavior of firms engaged in complex product systems innovation and engineering under the lean startup / minimum viable product process. In doing so, it fills a gap in the literature at the intersection of innovation management and behavioral economics. By deconstructing the concept of commercial value, we assemble, define, and structure the relationships among seven values that innovation teams encounter along the path of innovation. Then, we demonstrate the usefulness of the proposed framework by applying it to the case of algorithmic financial systems. As a quantitative implementation, the model of capability developed for this domain may have broader applicability. For innovations where performance is probabilistic and achieves a steady state, capability can define what counts as “good enough” commercial value.
-
a behavioral approach to the lean startup minimum viable product process the case of algorithmic financial systems
2019Co-Authors: Ben Van VlietAbstract:This paper theorizes about the behavior of firms engaged in complex product systems innovation and engineering under the lean startup / minimum viable product process. In doing so, it fills a gap in the literature at the intersection of innovation management and behavioral economics. By deconstructing the concept of commercial value, we assemble, define, and structure the relationships among seven values that innovation teams encounter along the path of innovation. Then, we demonstrate the usefulness of the proposed framework by applying it to the case of algorithmic financial systems. As a quantitative implementation, the model of capability developed for this domain may have broader applicability. For innovations where performance is probabilistic and achieves a steady state, capability can define what counts as “good enough” commercial value.
Emmanuel Lopez-neri - One of the best experts on this subject based on the ideXlab platform.
-
Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception—IoT Smart Mobility Case
Sustainability, 2020Co-Authors: Luis F. Luque-vega, Miriam Carlos-mancilla, Verónica G. Payán-quiñónez, Emmanuel Lopez-neriAbstract:Smart Cities empower progress through technology integration directed with a strategic approach to sustainable development and citizen well-being. The creation of solid strategic planning boosts the development of infrastructure, innovation, and technology. However, the above can be compromised if citizens are not properly involved; therefore, it is relevant to enhance citizen participation when a new Smart City project appears on the horizon. This work presents a Smart Cities Oriented Project Planning and Evaluation (SCOPPE) Methodology that combines the citizen participation and the minimum viable product creation through adaptive project management. Moreover, since the smart mobility projects represent the first step towards a Smart City, a case of study of an Intelligent Parking System (SEI-UVM) is presented following the SCOPPE Methodology. The application’s steps results lead us to key and useful information when defining, designing, and implementing the minimum viable product of the cornerstone device of the SEI-UVM: the Smart Vehicle Presence Sensor (SPIN-V). It is worthwhile to mention that the proposed SCOPPE Methodology could be extended to any Smart City project.
Nirnaya Tripathi - One of the best experts on this subject based on the ideXlab platform.
-
startup ecosystem effect on minimum viable product development in software startups
Information & Software Technology, 2019Co-Authors: Nirnaya Tripathi, Kari Liukkunen, Markku Oivo, Jouni MarkkulaAbstract:Abstract Context Software startups develop innovative products through which they scale their business rapidly, and thus, provide value to the economy, including job generation. However, most startups fail within two years of their launch because of a poor problem-solution fit and negligence of the learning process during minimum viable product (MVP) development. An ideal startup ecosystem can assist in MVP development by providing the necessary entrepreneurial education and technical skills to founding team members for identifying problem-solution fit for their product idea, allowing them to find the right product-market fit. However, existing knowledge on the effect of the startup ecosystem elements on the MVP development is limited. Objective The empirical study presented in this article aims to identify the effect of the six ecosystem elements (entrepreneurs, technology, market, support factors, finance, and human capital) on MVP development. Method We conducted a study with 13 software startups and five supporting organizations (accelerators, incubator, co-working space, and investment firm) in the startup ecosystem of the city of Oulu in Finland. Data were collected through semi-structured interviews, observation, and materials. Results The study results showed that internal sources are most common for identifying requirements for the product idea for MVP development. The findings indicate that supporting factors, such as incubators and accelerators, can influence MVP development by providing young founders with the necessary entrepreneurship skills and education needed to create the right product-market fit. Conclusions We conclude from this study of a regional startup ecosystem that the MVP development process is most affected by founding team members’ experiences and skill sets and by advanced technologies. Furthermore, a constructive startup ecosystem around software startups can boost up the creation of an effective MVP to test product ideas and find a product-market fit.
-
I3E - What is a minimum viable (Video) Game
Lecture Notes in Computer Science, 2018Co-Authors: Sami Hyrynsalmi, Nirnaya Tripathi, Michael Unterkalmsteiner, Leandro Bento Pompermaier, Tony Gorschek, Eriks Klotins, Rafael PrikladnickiAbstract:The concept of ‘minimum viable product’ (MVP) is largely adapted in the software industry as well as in academia. minimum viable products are used to test hypotheses regarding the target audience, save resources from unnecessary development work and guide a company towards a stable business model. As the game industry is becoming an important business domain, it is not surprise that the concept has been adopted also in the game development. This study surveys how a minimum viable Game (MVG) is defined, what is reported in extant literature as well as present results from a small case study survey done to nine game development companies. The study shows that despite popularity of minimum viable games in the industrial fora, the presented views on the concept are diverged and there is lack of practical guidelines and research supporting game companies. This study points out research gaps in the area as well as calls for actions to further develop the concept and to define guidelines.
-
What is a minimum viable (Video) Game?
2018Co-Authors: Sami Hyrynsalmi, Nirnaya Tripathi, Michael Unterkalmsteiner, Leandro Bento Pompermaier, Tony Gorschek, Eriks Klotins, Rafael PrikladnickiAbstract:The concept of ‘minimum viable product’ (MVP) is largely adapted in the software industry as well as in academia. minimum viable products are used to test hypotheses regarding the target audience, save resources from unnecessary development work and guide a company towards a stable business model. As the game industry is becoming an important business domain, it is not surprise that the concept has been adopted also in the game development. This study surveys how a minimum viable Game (MVG) is defined, what is reported in extant literature as well as present results from a small case study survey done to nine game development companies. The study shows that despite popularity of minimum viable games in the industrial fora, the presented views on the concept are diverged and there is lack of practical guidelines and research supporting game companies. This study points out research gaps in the area as well as calls for actions to further develop the concept and to define guidelines.
Rafael Prikladnicki - One of the best experts on this subject based on the ideXlab platform.
-
I3E - What is a minimum viable (Video) Game
Lecture Notes in Computer Science, 2018Co-Authors: Sami Hyrynsalmi, Nirnaya Tripathi, Michael Unterkalmsteiner, Leandro Bento Pompermaier, Tony Gorschek, Eriks Klotins, Rafael PrikladnickiAbstract:The concept of ‘minimum viable product’ (MVP) is largely adapted in the software industry as well as in academia. minimum viable products are used to test hypotheses regarding the target audience, save resources from unnecessary development work and guide a company towards a stable business model. As the game industry is becoming an important business domain, it is not surprise that the concept has been adopted also in the game development. This study surveys how a minimum viable Game (MVG) is defined, what is reported in extant literature as well as present results from a small case study survey done to nine game development companies. The study shows that despite popularity of minimum viable games in the industrial fora, the presented views on the concept are diverged and there is lack of practical guidelines and research supporting game companies. This study points out research gaps in the area as well as calls for actions to further develop the concept and to define guidelines.
-
What is a minimum viable (Video) Game?
2018Co-Authors: Sami Hyrynsalmi, Nirnaya Tripathi, Michael Unterkalmsteiner, Leandro Bento Pompermaier, Tony Gorschek, Eriks Klotins, Rafael PrikladnickiAbstract:The concept of ‘minimum viable product’ (MVP) is largely adapted in the software industry as well as in academia. minimum viable products are used to test hypotheses regarding the target audience, save resources from unnecessary development work and guide a company towards a stable business model. As the game industry is becoming an important business domain, it is not surprise that the concept has been adopted also in the game development. This study surveys how a minimum viable Game (MVG) is defined, what is reported in extant literature as well as present results from a small case study survey done to nine game development companies. The study shows that despite popularity of minimum viable games in the industrial fora, the presented views on the concept are diverged and there is lack of practical guidelines and research supporting game companies. This study points out research gaps in the area as well as calls for actions to further develop the concept and to define guidelines.
Luis F. Luque-vega - One of the best experts on this subject based on the ideXlab platform.
-
Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception—IoT Smart Mobility Case
Sustainability, 2020Co-Authors: Luis F. Luque-vega, Miriam Carlos-mancilla, Verónica G. Payán-quiñónez, Emmanuel Lopez-neriAbstract:Smart Cities empower progress through technology integration directed with a strategic approach to sustainable development and citizen well-being. The creation of solid strategic planning boosts the development of infrastructure, innovation, and technology. However, the above can be compromised if citizens are not properly involved; therefore, it is relevant to enhance citizen participation when a new Smart City project appears on the horizon. This work presents a Smart Cities Oriented Project Planning and Evaluation (SCOPPE) Methodology that combines the citizen participation and the minimum viable product creation through adaptive project management. Moreover, since the smart mobility projects represent the first step towards a Smart City, a case of study of an Intelligent Parking System (SEI-UVM) is presented following the SCOPPE Methodology. The application’s steps results lead us to key and useful information when defining, designing, and implementing the minimum viable product of the cornerstone device of the SEI-UVM: the Smart Vehicle Presence Sensor (SPIN-V). It is worthwhile to mention that the proposed SCOPPE Methodology could be extended to any Smart City project.