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Social networking platforms as creativity fostering systems: research model and exploratory study
(2008)
Social networking platforms are enabling users to create their own content, share this content with anyone they invite and organize connections with existing or new online contacts. Within these electronic environments users voluntarily add comments on virtual boards, distribute their search results or add information about their expertise areas to their social networking profiles and thereby share it with acquaintances, friends and increasingly even with colleagues in the corporate world. As a result, it is most likely that the underlying knowledge sharing processes result in many new and creative ideas. The objective of our research therefore is to understand if and how social social networking platforms can enforce creativity. In addition, we look at how these processes could be embedded within the organizational structures that influence innovative knowledge sharing behavior. The basis for our research is a framework which focuses on the relations between intrinsic motivation, creativity and social networking platforms. First results of our empirical investigation of a social software platform called "StudiVZ.net" proved that our two propositions are valid.
Die Bedeutung von Innovation für die Sicherung der Unternehmensexistenz nimmt zu. Gerade im Bereich der Informations- und Kommunikationssysteme zwingen veränderte Rahmenbedingungen, verkürzte Produktlebenszyklen und verstärkter Wettbewerb viele Unternehmen zur Anpassung ihrer Innovationsgeschwindigkeit. Langfristiger Erfolg wird sich nur für die Unternehmen einstellen, denen es gelingt, durch technologische Innovationen ihre Wettbewerbsposition zu festigen oder auszubauen. Dies erfordert einen gesonderten Umgang mit technologischen Innovationen und verlangt nach einem Technologie- und Innovationsmanagement. Dabei ist nicht jede Innovation das Produkt einer einmaligen, möglicherweise gar spontanen Idee. Viele Innovationen entstehen aus der Integration oder Kombination bereits bewährter Technologien. Dies ist besonders interessant, wenn die originären Technologien Branchen entstammen, die nur noch marginale Wachstumsraten aufweisen. Aufbauend auf den Besonderheiten des Fallbeispiels Decision on Demand werden in diesem Artikel existierende Mängel etablierter Vorschläge für ein strategisches Technologie- und Innovationsmanagement identifiziert und die Rolle von modularer Technologieintegration als Alternative diskutiert.
Information systems research has started to use crowdsourcing platforms such as Amazon Mechanical Turks (MTurk) for scientific research, recently. In particular, MTurk provides a scalable, cheap work-force that can also be used as a pool of potential respondents for online survey research. In light of the increasing use of crowdsourcing platforms for survey research, the authors aim to contribute to the understanding of its appropriate usage. Therefore, they assess if samples drawn from MTurk deviate from those drawn via conventional online surveys (COS) in terms of answers in relation to relevant e-commerce variables and test the data in a nomological network for assessing differences in effects.
The authors compare responses from 138 MTurk workers with those of 150 German shoppers recruited via COS. The findings indicate, inter alia, that MTurk workers tend to exhibit more positive word-of mouth, perceived risk, customer orientation and commitment to the focal company. The authors discuss the study- results, point to limitations, and provide avenues for further research.
Despite widespread plans of big companies like Amazon and Google to develop unmanned delivery drones, scholarly research in this field is scarce, especially in the information systems field. From technical and legal perspectives, drone delivery in last-mile scenarios is in a quite mature state. However, estimates of user acceptance are varying between high skepticism and exaggerated optimism. This research follows a mixed method approach consisting both qualitative and quantitative research, to identify and test determinants of consumer delivery drone service adoption. The qualitative part rests on ten interviews among average consumers, who use delivery services on a regular basis. Insights gained from the qualitative part were used to develop an online survey and to assess the influence of associated risks on adoption intentions. The quantitative results show that especially financial and physical risks impede drone delivery service adoption. Delivery companies who are currently thinking about providing a delivery drone service may find these results useful when evaluating usage behaviors in the future market for delivery drones.