12,281 research outputs found

    Exploring the impact of technological competence development on speed and NPD program performance

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    With growing levels of competition across industries, technological competence is increasingly viewed as crucial for businesses to maintain their long-term competitive advantage. Although there are many theoretical arguments about how firms' competences can yield competitive advantage and performance improvement, we have a limited understanding of where the capabilities originate in the context of NPD or what kind of product portfolios, internal climate and strategic alignment are required to build them. Moreover, empirical evidence for technological competence development is limited and comes primarily from case studies, anecdotal evidence, and management impressions. Accordingly, this research addresses these gaps by presenting and testing a conceptual model of technological competence development in NPD. This study makes advances in applying a dynamic capability approach to technological competence development in NPD, and investigates the impact of innovative climate, technological alignment, and project portfolio management on technological competence development as well as NPD speed. Moreover, the factors that might influence NPD program performance are also investigated. The analysis, based on data collected from 164 firms, shows that a firm's innovative climate, technological alignment and portfolio management are positively associated with technological competence development. While technological alignment was found to be negatively related to NPD speed, portfolio management and technological competence development were found to have positive effects on speed. However, innovative climate had no significant impact on speed. Moreover, technological competence development and portfolio management were found to be positively related to NPD program performance. Finally, the authors found no support for the relationship between speed and NPD program performance

    Quality delivery of mobile video: In-depth understanding of user requirements

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    The increase of powerful mobile devices has accelerated the demand for mobile videos. Previous studies in mobile video have focused on understanding of mobile video usage, improvement of video quality, and user interface design in video browsing. However, research focusing on a deep understanding of users’ needs for a pleasing quality delivery of mobile video is lacking. In particular, what quality-delivery mode users prefer and what information relevant to video quality they need requires attention. This paper presents a qualitative interview study with 38 participants to gain an insight into three aspects: influencing factors of user-desired video quality, user-preferred quality-delivery modes, and user-required interaction information of mobile video. The results show that user requirements for video quality are related to personal preference, technology background and video viewing experience, and the preferred quality-delivery mode and interactive mode are diverse. These complex user requirements call for flexible and personalised quality delivery and interaction of mobile video

    Understanding user experience of mobile video: Framework, measurement, and optimization

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    Since users have become the focus of product/service design in last decade, the term User eXperience (UX) has been frequently used in the field of Human-Computer-Interaction (HCI). Research on UX facilitates a better understanding of the various aspects of the user’s interaction with the product or service. Mobile video, as a new and promising service and research field, has attracted great attention. Due to the significance of UX in the success of mobile video (Jordan, 2002), many researchers have centered on this area, examining users’ expectations, motivations, requirements, and usage context. As a result, many influencing factors have been explored (Buchinger, Kriglstein, Brandt & Hlavacs, 2011; Buchinger, Kriglstein & Hlavacs, 2009). However, a general framework for specific mobile video service is lacking for structuring such a great number of factors. To measure user experience of multimedia services such as mobile video, quality of experience (QoE) has recently become a prominent concept. In contrast to the traditionally used concept quality of service (QoS), QoE not only involves objectively measuring the delivered service but also takes into account user’s needs and desires when using the service, emphasizing the user’s overall acceptability on the service. Many QoE metrics are able to estimate the user perceived quality or acceptability of mobile video, but may be not enough accurate for the overall UX prediction due to the complexity of UX. Only a few frameworks of QoE have addressed more aspects of UX for mobile multimedia applications but need be transformed into practical measures. The challenge of optimizing UX remains adaptations to the resource constrains (e.g., network conditions, mobile device capabilities, and heterogeneous usage contexts) as well as meeting complicated user requirements (e.g., usage purposes and personal preferences). In this chapter, we investigate the existing important UX frameworks, compare their similarities and discuss some important features that fit in the mobile video service. Based on the previous research, we propose a simple UX framework for mobile video application by mapping a variety of influencing factors of UX upon a typical mobile video delivery system. Each component and its factors are explored with comprehensive literature reviews. The proposed framework may benefit in user-centred design of mobile video through taking a complete consideration of UX influences and in improvement of mobile videoservice quality by adjusting the values of certain factors to produce a positive user experience. It may also facilitate relative research in the way of locating important issues to study, clarifying research scopes, and setting up proper study procedures. We then review a great deal of research on UX measurement, including QoE metrics and QoE frameworks of mobile multimedia. Finally, we discuss how to achieve an optimal quality of user experience by focusing on the issues of various aspects of UX of mobile video. In the conclusion, we suggest some open issues for future study
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