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Knowledge and learning are important driving forces for business success and competitiveness, especially in the knowledge-intensive organizations (KIO's) whose core business is to create and sell knowledge (e.g. education, R&D units, and consultancy organizations, among others). Previous works suggested one of the Critical Success Factor (CSF) of Knowledge Management (KM) practices is leadership, but only few of them referred it in a quantitative way. This paper aims to explore and explain the link between leadership and KM success. Results show a positive relation between the strategic dimension of leadership and the success of KM practices. This model was tested using Structured Equation Model (SEM). With this study we contribute to recognize the importance of leadership in order to improve the creation and dissemination of knowledge in a KIO's. In this way, these findings will help managers and teachers to increase the effectiveness of learning.

AbstractThis paper investigates the impact of the usage of generative AI (GenAI) and services with integrated GenAI on employee performance, alongside with the role of trusting in these tools and services. Employing a mixed methodology, the research first analyzes data from 251 professionals in Spain using a structural equation modeling (SEM) approach, followed by a qualitative survey of 69 top academics in management sciences. Findings indicate that the adoption and effective use of GenAI services does not directly improve workplace performance. Instead, an optimal level of trust in these services plays a critical mediating role, enhancing work engagement and thereby performance. The study draws on the reviewed job demand-resources theory (JD-R) to construct a new theoretical framework of applied in GenAI services, offering insights into how user experience and trust influence engagement and productivity. For managers, these results highlight the importance of building an optimal level of trust in GenAI among employees and users of services with integrated GenAI to boost work engagement and performance. [ABSTRACT FROM AUTHOR]

This study investigates how academic staff achieves career satisfaction (CS) and life satisfaction (LS) under direct and different configurations of servant leadership (SL) dimensions. Using a survey of academics in Spain, China, and Pakistan, this study uses Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the direct relationship, and fuzzy-set Qualitative Comparative Analysis (fsQCA) to find configurations of SL dimensions that lead to career and LS. Direct relationships revealed that in each country, almost all dimensions failed to create any individual impact on CS and LS. The fsQCA results revealed an asymmetric relationship between the different SL dimensions and outcomes. Prior SL, CS, and LS research has primarily relied on symmetrical correlational methods. This is one of the first studies to use fsQCA in SL, CS, and LS in higher education literature. Furthermore, there is significantly limited research on SL in a cross-country setting. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to assess the effectiveness of active teaching methodologies, namely, problem-oriented learning and the case method, to develop sustainability competencies. It also analyses the advantages and challenges for teachers when implementing the sustainable development goals (SDGs) in eight undergraduate and postgraduate degrees within the framework of a cross-departmental collaboration. Design/methodology/approach: A mixed research methodology was used: a quantitative study to assess the levels of acquisition of sustainability and research competencies and the potential correlation between them, as well as a mixed study of the advantages and challenges for the teachers participating in the cross-departmental initiative. Curriculum content linked to the SDGs was worked on. Active teaching methodologies and a competency assessment rubric were used as curriculum implementation strategies in the eight courses involved. Findings: Active teaching methodologies are suitable to implement the SDGs in university teaching and to develop both sustainability and research competencies. A synergic effect is observed between them. Coordinated work between teachers of different subjects in several degrees contributes to developing a culture of sustainability at the university. Research limitations/implications: Although the collaboration between teachers from different disciplines was successful, this study did not promote interdisciplinary projects among students from different degrees. This promises to be highly valuable for future research. Practical implications: Students can become present and future leaders in achieving the SDGs. This approach can be replicated in other educational institutions. Social implications: This study bridges the gap between theoretical recommendations and the practical implementation of the SDGs in undergraduate and postgraduate degrees. Originality/value: Coordinated work between teachers of different subjects in different degrees contributes to the development of a culture of sustainability at the university. [ABSTRACT FROM AUTHOR]

Technology Enhanced Learning (TEL) is a new pedagogical domain aiming to study the usage of information and communication technologies to support teaching and learning. The following study investigated how this domain is used to increase technical skills in Computer Science (CS). A Delphi method was applied, using three-rounds of online survey questions, given to 17 TEL experts from different European countries. The results showed that these experts consider TEL an effective and interesting support to acquire CS skills. Furthermore, the findings revealed the five best tools in TEL to acquire necessary CS knowledge. Future research can provide a guideline to implement effective TEL tools in CS studies. This manuscript investigates Technology Enhanced Learning (TEL) tools and its applications to learn specific skills in CS. As general content the results of a Delphi study that identifies the benefits of TEL while teaching are highlighted.

Universities must ensure that academic staff are qualified and competent for performing their job. Teaching and research are two key activities in which lecturers should excel. While some authors suggest teaching and research complement each other and positively influence student satisfaction, some others point to a rivalry effect between the two. This study aims at shedding new light on this debate. We first examine the relationship between teaching experience and student satisfaction. In a second stage we explore the mediating effect of research intensity in this relationship. Lastly, we examine potential differences due to contract status. Data gathered in 2014 come from 229 different subjects offered at the Universitat Internacional de Catalunya (Spain). Our results support the thesis that teaching experience is a determinant of student satisfaction. We also found evidence that current incentive systems at universities are research-biased, negatively impacting on students' perceptions of the teaching received (student satisfaction).

Sharing economy accommodation services offered by companies such as Airbnb have become a very popular alternative to traditional hotels. However, existing research about service quality (SQ) in shared accommodation focuses only on the guest's perspective. Given that hosts are an essential part of these services, this paper aims to identify the determinants of SQ for both guests and hosts. Based on an international survey (N = 501) the proposed dimensions are validated through an exploratory factor analysis and a confirmatory factor analysis. Then, structural equation modeling is applied to assess the impact of the SQ dimensions on overall guest and host satisfaction. [ABSTRACT FROM AUTHOR]