2022
DOI: 10.1111/caim.12520
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Fostering knowledge sharing: Design principles for persuasive digital technologies in open innovation projects

Abstract: Integrating knowledge is crucial for open innovation, and digital technologies can play a central role because they support knowledge sharing. In open innovation projects, in particular, little is known about the role of technology. Here, the individual behaviour of users is taken into account concerning the extent to which knowledge is shared. Therefore, persuasive technologies offer the potential to foster sharing. In particular, to facilitate the construction of future digital technologies, this study appli… Show more

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Cited by 4 publications
(2 citation statements)
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“…Second, digital transformation amplifies the spillover effect of knowledge and technology, and it drives multiple innovation entities, such as enterprises, universities, and research institutes, within the innovation ecosystem to participate in cross‐regional and cross‐domain collaborative innovation activities. Enterprises can obtain more information and resource support in carrying out research and development (R&D) and GTI (Jalowski et al, 2022). For example, Mubarak et al (2021) showed that Industry 4.0 technology has a positive impact on open innovation, thus encouraging enterprises to carry out GTI.…”
Section: Theoretical Analysis and Research Hypothesismentioning
confidence: 99%
“…Second, digital transformation amplifies the spillover effect of knowledge and technology, and it drives multiple innovation entities, such as enterprises, universities, and research institutes, within the innovation ecosystem to participate in cross‐regional and cross‐domain collaborative innovation activities. Enterprises can obtain more information and resource support in carrying out research and development (R&D) and GTI (Jalowski et al, 2022). For example, Mubarak et al (2021) showed that Industry 4.0 technology has a positive impact on open innovation, thus encouraging enterprises to carry out GTI.…”
Section: Theoretical Analysis and Research Hypothesismentioning
confidence: 99%
“…Various theories and concepts have been applied to predict the sharing behavior of individuals in different contexts. These include applying the concepts of individual personality and motivation, team and interpersonal factors, or job characteristics to study knowledge-hiding characteristics in the hospitality industry [32], user motivations and incentive mechanisms on individual behavior of knowledge sharing as drivers of women's entrepreneurial innovativeness [33], the relationship between identity dynamics and interpersonal horizontal knowledge sharing in multinational enterprises [17], the dimensions of meaningfulness, goal orientation and beyond-the-self relationships with knowledge sharing behavior of university students [34], employees' attitudes, social pressure and job characteristics on the intention to share knowledge [35], the influence of anticipation of extrinsic rewards, anticipation of reciprocal relationships and perception of reciprocal benefits on knowledge sharing behavior [36], the role of digital technologies for knowledge sharing in open innovation projects [37], the impact of positive and negative emotions (specifically enthusiasm and anxiety) on knowledge sharing intentions [38], the attitudes of employees in terms of sharing knowledge during COVID-19 in an online environment [39], the factors of planned behavioral theory and the technology acceptance model in influencing knowledge sharing behavior at higher education institutes [40], the mechanism of organizational procedural justice on employees' intra-team knowledge sharing [41], the role of self-efficacy in the dimensions of trust, reciprocity, reputation and ability on knowledge sharing behavior [18], the analysis of knowledge sharing behavior between employees in software development roles in virtual teams [42], the individual classroom characteristics on students' behavior towards knowledge sharing [19], the impact of intention to share knowledge, knowledge sharing self-efficacy and enjoyment in helping others on knowledge sharing behavior [19], and the effect of the five-factor personality model on individual knowledge sharing behavior through the moderating role of perceived organizational incentives [20]. This study applied the Big Five model of personality traits (OCEAN) based on Costa and McCrae [43], consisting of Openness to Experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism to study the causal relationships of personality traits on knowledge sharing behavior through a short-video social commerce platform.…”
Section: Knowledge Sharing Behaviormentioning
confidence: 99%