Examining the relations between open innovation climate and job satisfaction with a PLS path model
Quality and Quantity, ISSN: 1573-7845, Vol: 48, Issue: 3, Page: 1705-1722
2014
- 19Citations
- 78Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The paper studies the relations between open innovation climate and job satisfaction, in particular the causal effects of the various dimensions of open innovation climate on different facets of job satisfaction. We assume firms which pursuing open innovation climate will result in higher level of employee job satisfaction. Both open innovation climate and job satisfaction are assumed to be multidimensional constructs (second-order model). Meanwhile the difference caused by employees' organizational level was also investigated. A partial least squares path model was developed, in which significant effects were discovered. This study provides valuable materials for hoteliers who want to promote open innovation climate in their organizations. © 2013 Springer Science+Business Media Dordrecht.
Bibliographic Details
Springer Science and Business Media LLC
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