Lillehammer University College

About: Lillehammer University College is a based out in . It is known for research contribution in the topics: Strength training & Tourism. The organization has 165 authors who have published 497 publications receiving 15457 citations.

Technical efficiency in competing panel data models: a study of Norwegian grain farming

Abstract: Estimation of technical efficiency is widely used in empirical research using both cross-sectional and panel data. Although several stochastic frontier models for panel data are available, only a few of them are normally applied in empirical research. In this article we chose a broad selection of such models based on different assumptions and specifications of heterogeneity, heteroskedasticity and technical inefficiency. We applied these models to a single dataset from Norwegian grain farmers for the period 2004–2008. We also introduced a new model that disentangles firm effects from persistent (time-invariant) and residual (time-varying) technical inefficiency. We found that efficiency results are quite sensitive to how inefficiency is modeled and interpreted. Consequently, we recommend that future empirical research should pay more attention to modeling and interpreting inefficiency as well as to the assumptions underlying each model when using panel data.

Pine and Gilmore's Concept of Experience Economy and Its Dimensions: An Empirical Examination in Tourism

Abstract: The growing attention placed on experiences can be regarded as a mega-trend, and has given currency to the proposition that experiences function as a personal source of information for the stories people tell about their lives and are important for their self-perception. This view implies the significance of experiences of individual satisfaction with a given product or visit. To assess this assumption, we have made use of Pine and Gilmore's widely known model, and in so doing have empirically examined the applicability of their concept of an “experience economy” and its four dimensions (education, escapism, esthetics, and entertainment). The necessary data were collected from two tourism contexts, the Ice Music Festival and the Maihaugen Museum. The results indicate that Pine and Gilmore's model can further our understanding of the experience market. However, the findings show that different experiential dimensions influence the visitors' overall satisfaction in different contexts. For instance, while th...

Empowering leadership: Construct clarification, conceptualization, and validation of a new scale

Abstract: This is the authors’ accepted, refereed and final manuscript to the article. Publisher’s version available at http://dx.doi.org/10.1016/j.leaqua.2013.11.009

Antecedents and effects of engaged frontline employees: A study from the hospitality industry

Abstract: – The aim of this study is to examine factors related to employee engagement in frontline jobs in service firms., – A conceptual model was developed and tested on a survey in which 279 hospitality frontline employees participated., – The findings show that employee engagement is closely linked to employees' innovative behaviour. Accordingly, the study clearly reveals the value of having an engaged frontline workforce. Moreover, the results show that perceptions of role benefit, job autonomy, and strategic attention were all significantly related to greater employee engagement., – This study limits its examination to the antecedents and effects of employee engagement for two types of service organizations., – The study has demonstrated the importance for managers of having an engaged workforce. In particular, it is important for managers to notice that engagement is a major driver to innovative behaviour. Consequently, one general and key practical implication from this study is the importance for mangers to measure regularly the engagement of their workforce., – This paper enhances one's knowledge of factors linked to employee engagement.

Technical efficiency in competing panel data models: A study of Norwegian grain farming

Abstract: Estimation of technical efficiency is widely used in empirical research using both cross-sectional and panel data. Although several stochastic frontier models for panel data are available, only a few of them are normally applied in empirical research. In this article we chose a broad selection of such models based on different assumptions and specifications of heterogeneity, heteroskedasticity and technical inefficiency. We applied these models to a single dataset from Norwegian grain farmers for the period 2004–2008. We also introduced a new model that disentangles firm effects from persistent (time-invariant) and residual (time-varying) technical inefficiency. We found that efficiency results are quite sensitive to how inefficiency is modeled and interpreted. Consequently, we recommend that future empirical research should pay more attention to modeling and interpreting inefficiency as well as to the assumptions underlying each model when using panel data.