This work conducted market research on the use of smartphones and smartphone applications in the forest products industry and academia. This research also attempted to project how likely the industry would be to use an app that measures stiffness of wood. After the review of scholarly literature and existing apps, data was collected via an online survey. Participants were individuals who work with wood or wood-based products. Out of 1,221 invitations, 311 were returned at the response rate of 27.2 percent. Data was analyzed using SPSS statistics. Nearly all of the respondents (95.7%) had smartphones, and over half of them were iOS users (52.3%). More respondents had paid apps experiences (45.2%) than in-app purchases (28.5%). Regarding responses’ perceptions toward the app, the respondents expressed that the app could be useful, and were interested in the app. Millennials showed a higher interest level in the app than other generations.

Am 20. Oktober 2020 veranstaltete die mFUND-Begleitforschung des WIK den mFUND-Fachaustausch „App-gestützte Datenerhebung“. Rund 40 Fachleute, darunter Vertreterinnen und Vertreter aus zahlreichen mFUND-Projekten, nahmen an dem Fachaustausch teil. Die Projekte werden durch die Förderinitiative mFUND des Bundesministeriums für Verkehr und digitale Infrastruktur (BMVI) gefördert. Aufgrund der Corona-Krise wurde die Veranstaltung als Online- Konferenz durchgeführt.

Objectives The primary objective of this study was to investigate the effect of the video-based smartphone app ‘VIDEA bewegt’ over eight programme weeks on physical activity in German adults. - Design The study used a single-arm observational design, assessing the app’s effectiveness under real-life conditions. Data were collected from July 2019 to July 2020. - Setting The app is enabling users to access video-based educational content via their smartphone. A clinical visit or in-person contact was not required. Participants All individuals registered in the freely available app were invited to take part in the study. - Interventions The app aims to increase physical activity in everyday life. It combines educative videos on lifestyle-related benefits and instructional videos of strength and endurance exercises to do at home with motivational components like goal setting, documentation of progress and personalised messages. - Primary and secondary outcome measures Primary outcomes were physical activity based one MET minutes per week (metabolic equivalent) and step numbers. Secondary outcomes included physical self-efficacy (motivational, maintenance, recovery self-efficacy), health-related quality of life: Mental Health Component Summary score and Physical Health Component Summary score. - Results Of 97 people included in the data analysis, 55 successfully completed the programme and all questionnaires. Significant increases over eight programme weeks (between T0 and T2) were observed in physical activity based on MET minutes per week, health-related quality of life, and recovery self-efficacy. Time spent sitting and body mass index significantly decreased for those completing the programme. Conclusions Although significant benefits of physical activity were observed following a complete-case analysis, results should be dealt with caution. Studies with a larger and less heterogeneous sample and robust study designs able to measure causal effects would be desirable. Trial registration number DRKS00017392.

1 INTRODUCTION With the increasing capabilities of today’s smart phones, the demand of consumers for new applications has risen dramatically. By opening up these smart phones and providing third parties the opportunity to develop “apps” for their systems, producers like Apple and platform owners like Google can offer much more value to their customers. As smart phones are one kind of embedded systems (ES), the question arises if similar development can also take place in other kinds of embedded systems. ES, consisting of hardware and software, are embedded in a device to realize a specific function, in contrast to personal computers, which serve multiple purposes [4,30]. The notion of incorporating external actors in the innovation process has been coined open innovation which has become increasingly popular in research and practice since Chesbrough introduced the term in 2003 [12]. By opening up their innovation processes for external actors, firms could benefit from internal as well as from external ideas. In this paper, the notion of open innovation will be explored in the context of ES. The case of ES is particularly interesting, as it requires not only the opening of innovation processes, but also the opening of the embedded system itself. Some of these platforms are opened only to a small degree like Apple’s iPhone, in order to enable others to create new applications for it. Similar developments also take place for example in the automotive software domain, especially concerning infotainment systems. However, most kinds of ES have been spared out by this development until now. As more than 98% of all chips manufactured are used for ES [10] and high-performing computer chips are getting cheaper [38], opening considerations could also prove valuable for a large number of other application domains. However, opening up innovation processes in the context of ES is challenging from both an organizational and technical perspective. First of all, embedded systems are subject to a variety of constraints in contrast to multi-purpose computing devices, like realtime and security constraints or costs and resource constraints. Second, ES are quite diverse both in their composition and in terms on their requirements. In this paper, we want to explore, how the different properties of embedded systems influence possible open innovation processes. This will be done by drawing on to the characteristics of firms implementing the three core open innovation processes suggested by Gassmann and Enkel (2004) [15] and conceptually explaining how the characteristics of ES enable or hinder open innovation processes. As a result, a classification of the OI processes in terms of ES characteristics is provided.

1 INTRODUCTION With the increasing capabilities of today’s smart phones, the demand of consumers for new applications has risen dramatically. By opening up these smart phones and providing third parties the opportunity to develop “apps” for their systems, producers like Apple and platform owners like Google can offer much more value to their customers. As smart phones are one kind of embedded systems (ES), the question arises if similar development can also take place in other kinds of embedded systems. ES, consisting of hardware and software, are embedded in a device to realize a specific function, in contrast to personal computers, which serve multiple purposes [4,30]. The notion of incorporating external actors in the innovation process has been coined open innovation which has become increasingly popular in research and practice since Chesbrough introduced the term in 2003 [12]. By opening up their innovation processes for external actors, firms could benefit from internal as well as from external ideas. In this paper, the notion of open innovation will be explored in the context of ES. The case of ES is particularly interesting, as it requires not only the opening of innovation processes, but also the opening of the embedded system itself. Some of these platforms are opened only to a small degree like Apple’s iPhone, in order to enable others to create new applications for it. Similar developments also take place for example in the automotive software domain, especially concerning infotainment systems. However, most kinds of ES have been spared out by this development until now. As more than 98% of all chips manufactured are used for ES [10] and high-performing computer chips are getting cheaper [38], opening considerations could also prove valuable for a large number of other application domains. However, opening up innovation processes in the context of ES is challenging from both an organizational and technical perspective. First of all, embedded systems are subject to a variety of constraints in contrast to multi-purpose computing devices, like realtime and security constraints or costs and resource constraints. Second, ES are quite diverse both in their composition and in terms on their requirements. In this paper, we want to explore, how the different properties of embedded systems influence possible open innovation processes. This will be done by drawing on to the characteristics of firms implementing the three core open innovation processes suggested by Gassmann and Enkel (2004) [15] and conceptually explaining how the characteristics of ES enable or hinder open innovation processes. As a result, a classification of the OI processes in terms of ES characteristics is provided.

Die zunehmende Nutzung [1] persönlicher mobiler Geräte durch immer mehr Fahrgäste des öffentlichen Personenverkehrs (ÖPV) begünstigt die Entwicklung neuer Applikationen, die den allgegenwärtigen Zugriff auf domänenspezifische Inhalte und Echtzeitdaten über variable Schnittstellen und Informationskanäle realisieren. Near Field Communication (NFC) gilt in diesem Zusammenhang als eine vielversprechende Technologie, die neben kontaktloser Datenübertragung auch Bezahlvorgänge direkt über das mobile Endgerät ermöglicht. Mit Blick auf die unterschiedlichen Einsatzmöglichkeiten von NFC in der mobilen Reisebegleitung wird in diesem Beitrag eine ikonografische Klassifikation für die visualisierte Analyse von Anwendungsszenarien vorgestellt, welche zur Planung ubiquitärer Applikationen im ÖPV eingesetzt werden kann.

Die zunehmende Nutzung [1] persönlicher mobiler Geräte durch immer mehr Fahrgäste des öffentlichen Personenverkehrs (ÖPV) begünstigt die Entwicklung neuer Applikationen, die den allgegenwärtigen Zugriff auf domänenspezifische Inhalte und Echtzeitdaten über variable Schnittstellen und Informationskanäle realisieren. Near Field Communication (NFC) gilt in diesem Zusammenhang als eine vielversprechende Technologie, die neben kontaktloser Datenübertragung auch Bezahlvorgänge direkt über das mobile Endgerät ermöglicht. Mit Blick auf die unterschiedlichen Einsatzmöglichkeiten von NFC in der mobilen Reisebegleitung wird in diesem Beitrag eine ikonografische Klassifikation für die visualisierte Analyse von Anwendungsszenarien vorgestellt, welche zur Planung ubiquitärer Applikationen im ÖPV eingesetzt werden kann.