Search results

This paper aims to examine how academics enact trust in e-learning through an inductive identification of perceived risks and enablers involved in e-learning adoption, in the context of higher education institutions (HEIs).

Grounded Theory was the methodology used to systematically analyse data collected in semi-structured interviews with 62 academics. Data analysis followed the constant comparative method and its three-staged coding approach: open, axial and selective coding.

The resulting trajectory of trust factors is presented in a Grounded Theory narrative where individual change and integration through shared collective understanding and institutionalisation are discussed as stages leading to the overcoming of e-learning adoption barriers.

The paper proposes that the interplay between institutionalism and individualism has implications in the success or failure of strategies for the adoption of e-learning in HEIs, as perceived by academics. In practical terms, this points to the need for close attention to contextually sensitive trust-building mechanisms that promote the balance between academics’ commitments, values and sense of self-worth and centrally planned policy, rules, resources and exhortations that enable action.

The purpose of this paper is to present the results of an exploratory study that investigates Portuguese academics’ conceptions concerning the temporal properties of e-learning, in the context of traditional Higher Education Institutions.

Grounded Theory methodology was used to systematically analyse data collected in semi-structured interviews with 62 academics. Data analysis followed the constant comparative method and its three-staged coding approach: open, axial and selective coding. Data collection and analysis developed until theoretical saturation was reached.

Emergent academics’ conceptions concerning the temporal properties of e-learning indicate the existence of unregulated and unaccounted for dynamics, which are a direct consequence of transitioning from campus-based lecturing to teaching online using the affordances of virtual learning environments. This transition produces disruptions to established workload metrics and work patterns, as well as conflicts with dominant modes of instructional delivery that are not synchronised with the demands of online interaction and immediacy.

This paper is valuable to e-learning strategists and administrators. An understanding of the temporal properties of e-learning as perceived by academics provides actionable knowledge that is directly applicable to the design of suitable work arrangements, normative frameworks and e-learning practices that address perceived time-related barriers. To mitigate the time-related conflicts and disruptions identified in the study the authors suggest the establishment of university-wide norms of virtual presence and the implementation of temporal protocols to sustain the productive engagement between instructors and learners.

Emotionally intelligent leadership (EIL) theory combines relevant models, theories, and research in the areas of emotional intelligence (EI) and leadership. With an intentional focus on context, self and others, emotionally intelligent leaders facilitate the attainment of desired outcomes. The 21 capacities described by the theory equip individuals with the knowledge, skills, abilities, and other characteristics to achieve desired results. The purpose of this article is to propose an integrative, process-oriented EIL theory to provide a framework for conceptualizing and integrating future research and practice. The authors review and organize research and theory in emotional intelligence and leadership within the context of higher education, introduce the EIL model, and provide suggestions for future research. The article concludes with practical implications for leadership development in the context of higher education.

Coastal cities offer great ecological, cultural and economic benefits due to their tourism potential. The objective of this research is to (1) identify tourists' post-pandemic motivations, (2) establish a post-pandemic demand segmentation and (3) determine the relationship between post-pandemic segments and loyalty.

This study was carried out in Lima, Peru, a tourist destination on the Pacific Ocean coast. The sample was collected between June and July 2020, during the coronavirus disease 2019 (COVID-19) pandemic. In total, 354 valid questionnaires represented the sample size of this quantitative study. For data analysis, factor analysis and K-means non-hierarchical clustering were used.

The results show four post-pandemic motivational dimensions in coastal cities: “novelty and escape,” “learning and culture,” “destination safety” and “service safety.” Likewise, there are two post-pandemic segments in coastal cities: “safety seekers” who want to feel safe at the destination and with its services, and “multiple motives,” motivated by several reasons simultaneously, such as safety, novelty and escape, and learning and culture. The multiple motives group shows higher return intentions, making it a crucial post-pandemic segment in coastal cities.

The limitations of the present study were the online sampling and the timing when collecting the data since the demand can vary due to seasonal reasons.

Since coastal cities have natural and cultural attractions appealing to many travelers, they should adopt the necessary biosecurity measures to attract the safety seekers’ segment, who wants to feel safe at the destination and with its services. Similarly, the multiple motives’ segment favors safety over other recreational activities in the coastal area, so it is necessary that activities such as sports on the beach, walks, observation of flora and fauna, navigation and interaction with the community, meet the required biosecurity standards.

The results will be used to plan the following actions in coastal destinations and meet the tourists’ demands when this health crisis ends.

In this context, up to date, demand segmentation by motivations in coastal cities during the COVID-19 pandemic has not been investigated. Such a study will help to obtain post-pandemic results regarding the tourism demand for these destinations. To date, there are no studies in coastal cities that analyze demand segmentation and its motivations for the post-COVID-2019 pandemic.