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The purpose of this study is to investigate and compare the role of communication, structural and intangible elements on both tourists’ rational and emotional engagement across five different types of events (nature, gastronomy, religion, theatre and music).

Responses from 1,528 tourists were obtained through a face to face questionnaire in five heterogeneous events in the Spanish region of Extremadura, a well-known cultural tourism destination. Linear regressions were used to evaluate focal constructs’ contribution (emotional and rational engagement, formal and informal communication and structural and non-structural elements) on tourists’ engagement across events.

The results revealed that tourist’s rational and emotional engagement depends on the type of event. Non-structural elements seem to be important for rational and emotional engagement for gastronomic and cultural events. Besides the impact of structural elements on rational engagement, all other factors seem to have a mixed influence. Therefore, practitioners must select the factors to highlight according to the type of events, besides structural factors.

The current results allow tourism managers to understand the mechanisms for tourists’ engagement in a multi-event scenario to strategically select and use and communicate each type of appeal when planning and communicating events to specific target audiences.

Unlike most studies that focus on a single event or typology, this study combines a set of heterogeneous events to provide a complete picture of tourism engagement for the tourism sector.

The purpose of this study is to build a proposal for an integrated analysis / evaluation / decision / implementation framework to suit entrepreneurial companies intending to redefine their strategic behaviours and their competitive schemes in the global environment.

A conceptual approach, based on theoretical perspectives relating to globalisation-based management and decision-making of entrepreneurs, is adopted.

The paper presents a conceptual framework useful for supporting entrepreneurial decisions for global strategies, drawing on an integrated analysis of external environment and internal components, with a specific focus on the entrepreneur's characteristics in terms of cognitive and emotional profiles. It is suggested to adopt a logical process aimed at identifying which strategic levers are available for entrepreneurial players to implement their strategies.

Entrepreneurial decision-making may benefit from an integrated framework which helps entrepreneurs, who aim to compete in the global marketplace, to explore and exploit all the key factors useful to defining their strategies.

There is a lack of decision-making frameworks that put the entrepreneur at the centre and, at the same time, present a potential balance between the external factors (globalisation drivers and local opportunities) and the resources and competences required to manage risks and difficulties of the global environment (internal factors). The originality of the proposed framework consists in filling this gap. Moreover, this framework can be useful for “re-born global” or “global-again” firms that are currently a neglected typology of studied firms.

The increasing complexity of civil engineering projects necessitates focusing on new competencies of project participants. Based on the research on team performance and design processes that are more closely linked to the relevance of the project context, it is hypothesised that empathic abilities could play an important role in the performance of civil engineering projects. Therefore, this study aims to investigate whether performance can be improved by focusing on empathic abilities during the integrated design phase.

Semi-structured in-depth interviews with experts were conducted to explore the relevance of empathic abilities and their interaction with performance in a real-life infrastructure project. The project team’s empathy level was measured by means of a survey using Davis’ Interpersonal Reactivity Index method. Finally, differences between expected and measured levels of empathy were analysed.

The results provide insights into how empathic abilities interact with performance. The measurement indicates that, on average, professionals in the civil engineering industry score relatively low on empathy. In addition, differences were identified between the expected distribution and the measured empathy levels of the team, implying a potential for improvement, in particular by increasing the empathic abilities of the project management and increasing gender diversity.

To the best of the authors’ knowledge, this study is the first to investigate a relationship between empathy and the performance of civil engineering projects. The results provide initial insights into the empathic ability of civil engineering project teams and the potential of empathy to improve performance. Furthermore, from an empathy perspective, this study advocates increasing the gender diversity of project teams to improve performance.

This study intend to investigate a theoretical model looking at how particular tourist emotions, such as “joy,” “love,” and “positive surprise,” might predict their behavior by looking at how satisfied they are with their whole experience when visiting spas, and to examine the relationship of emotional experience, destination image, satisfaction and intention to revisit for spa tourism.

A sample of 345 individuals who traveled to Alleppey as domestic tourists participated in the research study. A non-probability (purposive) sampling method in this study. The structural model was analyzed using Structural Equation modeling (SEM), and the path coefficients were examined to test the hypotheses.

The results supported the hypotheses, indicating that specific emotions, image of the destination, and satisfaction significantly impacted tourists' intentions to revisit Alleppey as a spa tourism destination. This study demonstrated that “emotions of joy, love, and positive surprise” have a considerable influence on the image of the destination and satisfaction. The findings reveal a substantial correlation between satisfaction and behavioral intention (“Intention to revisit”). The research suggests that a higher degree of satisfaction would encourage visitors to revisit the location.

The research suggests that a higher degree of satisfaction would encourage visitors to revisit the location. This research offers vital information for developing, planning, and putting into practice tourism policies in the spa tourism sector. This article focuses on domestic travelers who travel to Alleppey, so the conclusions may not be relevant to research utilizing foreign tourists.

According to the literature study, and to the authors` knowledge, only limited number of studies that look at spa tourism from a wellness perspective. Additionally, Alleppey is used in the study as the study’s setting, providing insight into the visitor experiences of this expanding spa tourism business. This study gives understanding about how emotional experience predicts behavioral intentions.

Knowing the students' readiness for the fourth industrial revolution (4IR) is essential to producing competent, knowledgeable and skilled graduates who can contribute to the skilled workforce in the country. This will assist the Higher Education Institutions (HEIs) to ensure that their graduates own skill sets needed to work in the 4IR era. However, studies on students' readiness and preparedness for the 4IR in developing countries such as the Sultanate of Oman are still lacking. Therefore, this study investigates students' readiness level and preparedness for the 4IR. The findings of this study will benefit the HEIs policymakers, administration, faculties, departments, industries and society at large since they will be informed of the student's readiness and preparedness toward industry 4.0.

The authors adopted the measures from the same context as previous studies in this study. The questionnaire was divided into three sections; the first part described the purpose and introduction of the search with the surety to keep the data confidential. The second part consisted of demographical information like gender, education. The last parts consisted of four subsections, question items in these parts are based on the related previous study. Characteristics consisted of 14 items, knowledge consisted of 18 items related to 4IR technologies, Organizational Dimension comprised of four items related to academic programs, curriculum and training. Preparedness contained two items. The participants have rated all the items in 5-Likert scale.

Results from structural equation modeling showed that students' characteristics, knowledge of 4IR technologies and organizational dimensions significantly impact their preparedness for the 4IR. The study also found that organizational dimensions have the highest impact on students' preparedness. Furthermore, the organizational dimension significantly influences students' knowledge of 4IR technology. Moreover, students' characteristics related to 4IR are significantly affected by their knowledge of 4IR technology and organizational dimension. The findings suggest that HEIs are responsible for increasing the adoption of 4IR, and therefore organizational dimensions such as the academic programs, training, technological infrastructure and others are all critical for preparing students for a better future and should be given a priority.

This study has used academic programs and training to measure the organizational dimension. However, other important factors should be considered, such as technological infrastructure and leadership and governance of HEIs. Second, the current research depends on quantitative data, so future research should implement a mixed methodology (questionnaires, depth interviews, document analysis and focus group) to understand the factors affecting students' readiness for 4IR clearly. Finally, although the 4IR has numerous benefits, it also has challenges in its implementation, so future studies should focus on challenges encountered by different stakeholders in implementing 4IR-related technologies.

The curriculum must include mandatory courses related to IT infrastructure design, user experience programming, electronic measurement and control principles, and programming for data science. HEIs should also foster interdisciplinary knowledge by integrating IT, Engineering, Business and Sciences. Furthermore, the HEIs should develop their infrastructure to have smart campuses, labs, classrooms and libraries to make HEIs a space where knowledge can be generated and innovative solutions can be proposed. This entails HEIs offering necessary hardware, software and technical support because if the HEIs improve their technological resources, students will be capable of using 4IR-related technologies effectively.

The advancement of technology has resulted in the emergence of the Fourth Industrial Revolution (4IR), such as artificial intelligence, blockchain, robotics, cloud computing, data science, virtual reality and 3D printing. It is essential to investigate students' readiness for 4IR. However, there is no study as per researchers' knowledge talked about students readiness in HEIs in the Arab world. This study could be a basis for more research on students' perception of the 4IR covering students from various backgrounds and levels.

The recently developed resource orchestration theory studies the processes by which managers handle resources to create competitive advantages. According to this theory, it is the way that resources interact with each other that results in such advantages. Resource integration, i.e. the alignment, or fit between resources, is one important outcome of resource orchestration processes. This paper aims to develop a scale and outline approaches to measuring such resource integration.

Using a typology of five types of resources derived from value theory, the authors develop a scale for measuring the fit between resource types, i.e. the degree of resource integration. The authors illustrate the method using a case example of an IT company and demonstrate how a variety of statistical methods including hierarchical cluster analysis, structural equation modeling, social network analysis and methods from biostatistics can provide measures of resource integration.

The authors develop a scale and associated measures that can help scholars systematically measure and identify firms with a high or low level of resource integration capability. This makes it possible to investigate further these companies and reconstruct how they support dynamic capabilities, as well as commonalities across firms with high and low levels of this capability.

Existing studies on resource orchestration have failed to provide us with a reliable measurement instrument that can be used both in cross-sectional work, and in repeated or time-series studies, allowing us to assess the degree to which a wider range of resources in an organization are integrated. The authors develop and demonstrate such an instrument.

This study aims to analyse the inequalities in access to teleworking in Spain. More specifically, the study examines what factors determine remote working in a pre-pandemic period and during the state of alarm (March 2020). Moreover, the study examines whether telecommuting is related to the likelihood of suffering emotional disorders during lockdowns.

The methodological approach followed to analyse access to teleworking mainly consists of the estimation of ordered response models. Two datasets are used: the first is the Survey on Equipment and Use of Information and Communication Technologies (ICTs) in Households, conducted by the Spanish National Statistics Institute (INE) in the pre-pandemic period (2018). The second is the Social Survey 2020. Habits and Living Conditions of the Andalusian Population during the State of Alarm, conducted by the Institute of Statistics and Cartography of Andalusia (IECA) once the state of alarm was declared in Spain.

The results obtained indicate that ICT training is a key element in helping to explain the likelihood of working from home. However, some groups of workers might experience difficulties in their transition to teleworking. This could increase labour market segmentation and hinder the transition to the knowledge economy. Moreover, the findings detect that employees working both on the company premises and from home are more likely to suffer emotional disorders.

The paper sheds new empirical evidence on teleworking in Spain and Andalusia, including some novel methodological aspects to estimate the regressors’ effects on the probability of working from home.

The present paper aims to understand the influence of consumer's functional, psychological and emotional barriers to the use of digital banking services.

The authors carried out a quantitative study in which data were collected through a self-administered online questionnaire. A final sample of 202 Brazilian adults, with and without experience in using digital banking services, enabled the test of research hypotheses by means of a structural equation modeling approach.

The authors found statistical evidence that supports the hypothesis that psychological barriers, emotional barriers and user experience positively influence the resistance to the use of digital banking services. However, there is no empirical evidence supporting that the influence of functional barriers affects the resistance to the use of digital banking services.

Efforts to understand the mechanisms that lead consumers to adopt or reject innovative products or services are important to prevent investments in these innovations, avoiding revenue failures. The results provide managerial implications by favoring the creation of communication programs capable of reducing the possibilities of innovation failure.

The main theoretical contribution of this work is the identification of the predominant influence of emotional barriers, in comparison to functional barriers, on the resistance to innovation in digital banking services. Currently, the models that illustrate resistance to innovation tend to focus solely on functional aspects; however, these models can be improved by incorporating emotional aspects.

The study directs attention to the psychological conditions experienced and knowledge management practices leveraged by faculty in higher education institutes (HEIs) to cope with the shift to emergency remote teaching caused by the COVID-19 pandemic. By focusing attention on faculty experiences during this transition, this study aims to examine an under-investigated effect of the pandemic in the Indian context.

Interpretative phenomenological analysis is used to analyze the data gathered in two waves through 40 in-depth interviews with 20 faculty members based in India over a year. The data were analyzed deductively using Kahn’s framework of engagement and robust coding protocols.

Eight subthemes across three psychological conditions (meaningfulness, availability and safety) were developed to discourse faculty experiences and challenges with emergency remote teaching related to their learning, identity, leveraged resources and support received from their employing educational institutes. The findings also present the coping strategies and knowledge management-related practices that the faculty used to adjust to each discussed challenge.

The study uses a longitudinal design and phenomenology as the analytical method, which offers a significant methodological contribution to the extant literature. Further, the study’s use of Kahn’s model to examine the faculty members’ transitions to emergency remote teaching in India offers novel insights into the COVID-19 pandemic’s effect on educational institutes in an under-investigated context.

The purpose of this paper is to critically analyse the role of housing reconstruction projects in post conflict and post tsunami Sri Lanka, and to discuss their implications on conflict prevention.

Using four housing reconstruction projects in Batticaloa, Kilinochchi and Jaffna Districts, Sri Lanka, as case studies, and a novel methodological framework, the study explores the causal relations among the independent variables associated with housing reconstruction and dependent variables related to conflict prevention. The data, gathered from interviews and project reports, were analysed using propositions from a literature review, adopting a thematic analytical approach.

This study finds that reconstruction has created new forms of conflicts and tensions for the people who came to live in the newly constructed houses. The hostile relations that existed among different ethnic groups during the conflict were continued, and to some extent, exacerbated by the reconstruction undertaken after the war.

The study identifies causal relations among the independent variables associated with housing reconstruction and dependent variables related to conflict prevention, which can be used to inform physical reconstruction programmes after conflict.

The research presents a novel methodological framework. The results reveal concerns in housing and infrastructure development that have implications for future research and practice in post conflict environments.