Usage of online social business networks like LinkedIn and XING have become commonplace in today's workplace. This research addresses the question of what factors drive the intention to use online social business networks. Theoretical frame of the study is the Technology Acceptance Model (TAM) and its extensions, most importantly the TAM2 model. Data has been collected via a Web Survey among users of LinkedIn and XING from January to April 2010. Of 541 initial responders 321 finished the questionnaire. Operationalization was tested using confirmatory factor analyses and causal hypotheses were evaluated by means of structural equation modeling. Core result is that the TAM2 model generally holds in the case of online social business network usage behavior, explaining 73% of the observed usage intention. This intention is most importantly driven by perceived usefulness, attitude towards usage and social norm, with the latter effecting both directly and indirectly over perceived usefulness. However, perceived ease of use has-contrary to hypothesis-no direct effect on the attitude towards usage of online social business networks. Social norm has a strong indirect influence via perceived usefulness on attitude and intention, creating a network effect for peer users. The results of this research provide implications for online social business network design and marketing. Customers seem to evaluate ease of use as an integral part of the usefulness of such a service which leads to a situation where it cannot be dealt with separately by a service provider. Furthermore, the strong direct impact of social norm implies application of viral and peerto-peer marketing techniques while it's also strong indirect effect implies the presence of a network effect which stabilizes the ecosystem of online social business service vendors.

Cloud computing services have been growing rapidly in recent years, with Dropbox, Apple iCloud and Google Drive being amongst the most established. The main purpose of this study was to investigate whether there were moderator effects for cloud usage. Data was conducted via a web survey amongst internet users in Germany during October 2014. A total of 2135 panelists started the questionnaire with 2040 finishing. Data basis for the analyses was the number of cloud computing users (n=1047). Operationalization was tested using confirmatory factor analyses and causal hypotheses were evaluated by means of structural equation modeling. In addition, the critical ratios approach was applied to investigate moderating effects.Firstly, the results show that extended UTAUT is a robust research model. In detail, Social Influence, Performance Expectancy Effort Expectancy, and Perceived Security Risks were shown to significantly impact Attitude towards Use cloud services. The combination of all constructs used accounted for 67.2% of the variances observed in users' attitude and 82.4% in users' intention to use cloud services. Secondly, we found the moderating effect for all factors investigated, particularly gender and IT experience were shown to significantly moderate attitude and behavioral intention to use cloud services.