Learning Management Systems (LMSs) have a strong effect on the teaching-learning process in higher education. However, specific research on the factors that affect students´ satisfaction and their perceptions of learning outcomes derived from Moodle use is still scarce. Therefore, this study uses the theoretical underpinnings of the Technology Acceptance Model and the Information Systems Success model to contribute to the existing literature in two respects, focusing on the Moodle usage context. First, it analyses the relative impact of pre-acceptance and other e-learning quality-related variables as predictors of students´ satisfaction. Second, it investigates whether communicativeness and students’ satisfaction are both determining factors of students´ perceived learning outcomes. The proposed relationships were tested with a partial least squares (PLS) regression technique, using survey data from 151 undergraduate business students at University of Cantabria (Spain). The findings reveal that information quality is the most relevant predictor of students´ satisfaction, while satisfaction is the most relevant determining factor of perceived learning outcomes. Moreover, the effect of communicativeness on perceived learning outcomes could be very dependent on the educational context, e.g. blended versus virtual learning. These findings can help instructors to implement Moodle efficiently, and suggest the need to develop friendly courses with up-to-date and structured learning materials.

The present work is an attempt to contribute to the conceptual systematisation of the manufacturing flexibility types by synthesising the vast literature available after a systematic review. We classified the papers in two perspectives (hierarchical and strategic), and engaged in a systematic process of standardisation of the definitions and names of various flexibility types leading to a better understanding of them. This process allowed us to clearly show: (a) the existence of a broader consensus in the field than expected; (b) that problems are limited to concrete aspects related to the level of analysis or the scope of certain flexibility types; (c) the possibility of a theoretical integration between the two perspectives which would permit a standardisation of the names and definitions for the flexibility types which make up the manufacturing flexibility construct.

An analysis of data from 443 Spanish hospitality firms highlighted four factors that encourage innovation. This original analytic model considered the joint effect on innovation of both internal and external factors but did not find that external factors—including government assistance programs—had a significant effect on hospitality innovation. The results confirmed a significant and positive relationship between hospitality innovation and four internal factors, namely, large firm size, membership in a business group (that is, a franchise, management contract, or membership association), willingness to change, and a sufficiently strong bureaucratic framework to manage and institutionalize any innovations.

This paper has two objectives related to two gaps identified in the literature. The first objective is to extend research on the impact of using different knowledge sources on the innovation performance of firms in the family business context. The second objective is to study the moderating effect of family characteristics on these relationships. We adopted items from Community Innovation Surveys to collect data on Spanish family firms. Our results primarily show a positive effect of internal and collaboration sources on firms’ innovation performance specifically with respect to innovations that are new to the firm. Regarding the moderating effect of family characteristics on the relationship between the use of knowledge sources and innovation performance, the results suggest that CEO tenure, CEO founder duality and family involvement exert negative moderating effects. Thus, the family firm dimension tends to attenuate the positive effects of using various types of knowledge sources on innovation performance.