Engineering Open Innovation – Towards a Framework for Fostering Open Innovation

Wnuk, Krzysztof; Runeson, Per

doi:10.1007/978-3-642-39336-5_6

Cited by 11 publications

(14 citation statements)

References 49 publications

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“…We identified four secondary studies (literature reviews) [17,29,61,66] on open innovation, relevant to this study, by applying forward snowball sampling, using the study by West and Bogers [61] as a baseline. The studies are summarized in Table 1.…”

Section: Related Workmentioning

confidence: 99%

“…Huizingh [29] and Wnuk and Runeson [66] conducted reviews on OI, however neither of them is systematic according to the guidelines stated by Kitchenham et al [35]. The study conducted by West and Bogers [61] could be considered partly systematic, since the relevance can be seen in terms of data sources, inclusion/exclusion criteria and data extraction.…”

Section: Related Workmentioning

confidence: 99%

“…OI encompasses various activities such as inbound, outbound and coupled activities [20], and each of these activities can be more or less open. Open Source Software (OSS) is the most straightforward application of OI to software development [29], although not the only one [66]. The tremendous success of OSS in the last twenty years have ignited and encouraged several new movements for collective innovation such as: outsourcing, global software development, crowd-sourcing and founding.…”

Section: Introductionmentioning

confidence: 99%

“…However, there is a lack of systematic efforts that focus on summarizing the current state of the literature on the OI relation to SE. Previous reviews are either not systematic [29,66], partly systematic [61] or, for example, focus on the history or evolution of OSS or available innovation metrics [17]. Moreover, these reviews lack quality criteria to support the interpretation of the results in favor or against OI.…”

Section: Introductionmentioning

confidence: 99%

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Open innovation in software engineering: a systematic mapping study

2015

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Context: Open innovation (OI) means that innovation is fostered by using both external and internal influences in the innovation process. In software engineering (SE), OI has existed for decades, while we currently see a faster and broader move towards OI in SE. We therefore survey research on how OI takes place and contributes to innovation in SE.Objective: This study aims to synthesize the research knowledge on OI in the SE domain. Method: We launched a systematic mapping study and conducted a thematic analysis of the results. Moreover, we analyzed the strength of the evidence in the light of a rigor and relevance assessment of the research. Results: We identified 33 publications, divided into 9 themes related to OI. 17/33 studies fall in the high-rigor/high-relevance category, suggesting the results are highly industry relevant. The research indicates that start-ups have higher tendency to opt for OI compared to incumbents. The evidence also suggests that firms assimilating knowledge into their internal R&D activities, have higher likelihood of gaining financial advantages.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Open innovation in software engineering: a systematic mapping study

2015

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“…Wnuk and Runeson [39] present an open innovation framework for software engineering where they point into the need of software processes that supports open innovation. West et al [40] conducted a review on open innovation and integrated the process introduced among all the studies into the following three steps:…”

Section: Open Innovationmentioning

confidence: 99%

Trade-off Service Portfolio Planning – A Case Study on Mining the Android App Market

Nayebi

Ruhe

2015

Preprint

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Service portfolio planning is the process of designing collections of services and deciding on their provision. The problem is highly information intensive, and most of the information required is hard to gather. In this paper, we present a solution approach based on the paradigm of Analytical Open Innovation (AOI). Open innovation is a cheap and low risk problem solving approach which relies on knowledge exchange with outside of company as a competitive advantage. Different forms of open innovation; crowd source, open source and outsource; facilitate the provider and consumer interactions and brings higher customer value. In our proposed AOI approach, open innovation is utilized for elicitation of services from web data, crowdsourcing the service value from potential customers and for the estimation of service implementation effort. For service evaluation, we apply the Kano theory of product development and customer satisfaction. Based on that and as the result from an optimization process, resource-optimized service portfolios are created that constitute trade-offs in balancing between gained value and effort needed. As a proof of concept, the proposed approach is illustrated via a case study project for the composition of Over the Top TV (OTT) services. The atomic services from 241 qualified apps were analyzed from the android app market. We demonstrate that the proposed approach is able to generate optimized trade-off solutions, composing better apps at each capacity level and achieving better customer satisfaction . Abstract.Service portfolio planning is the process of designing collections of services and deciding on their provision. The problem is highly information intensive, and most of the information required is hard to gather. In this paper, we present a solution approach based on the paradigm of Analytical Open Innovation (AOI). Open innovation is a cheap and low risk problem solving approach which relies on knowledge exchange with outside of company as a competitive advantage. Different forms of open innovation; crowd source, open source and outsource; facilitate the provider and consumer interactions and brings higher customer value. In our proposed AOI approach, open innovation is utilized for elicitation of services from web data, crowdsourcing the service value from potential customers and for the estimation of service implementation effort. For service evaluation, we apply the Kano theory of product development and customer satisfaction. Based on that and as the result from an optimization process, resource-optimized service portfolios are created that constitute trade-offs in balancing between gained value and effort needed. As a proof of concept, the proposed approach is illustrated via a case study project for the composition of Over the Top TV (OTT) services. The atomic services from 241 qualified apps were analyzed from the android app market. We demonstrate that the proposed approach is able to generate optimized trade-off solutions, composing better apps at each capacity level and achi...

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Investigating Open Innovation Practices to Support Requirements Management in Software Ecosystems

Malcher,

Viana,

Antonino

et al. 2024

Lecture Notes in Business Information Processing

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Software ecosystems (SECO) affect requirements management when considering multiple actors (i.e., keystone, third-party developer, users) from different organizations using several communication channels such as issue trackers and forums. To deal with this scenario, professionals involved in requirements management in SECO have resorted to several open innovation (OI) practices. Our study aims to investigate OI practices applied to support requirements management in SECO. We conducted a field study based on interviews with 21 professionals involved in requirements management activities in SECO. We identified 10 OI practices to support requirements management in SECO and 14 communication channels to receive/provide requirements from/to external actors. OI practices identified in this study can help practitioners manage requirements in the SECO context in which they are engaged, making this process more informal, open, and collaborative.

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Engineering Open Innovation – Towards a Framework for Fostering Open Innovation

Cited by 11 publications

References 49 publications

Open innovation in software engineering: a systematic mapping study

Open innovation in software engineering: a systematic mapping study

Trade-off Service Portfolio Planning – A Case Study on Mining the Android App Market

Investigating Open Innovation Practices to Support Requirements Management in Software Ecosystems

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