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The aim of the study is to analyze how knowledge spillovers and knowledge management capabilities affect the innovation capabilities of hospitality sector companies in crisis environments.

A survey was completed by 63 hotel directors based in Portugal, gathering data on knowledge spillover, knowledge management capabilities and innovation capabilities. Two multiple linear regression models were used to estimate the impact of knowledge spillovers and knowledge management capabilities on innovative capability.

It has been concluded that knowledge spillovers work as external benefits of knowledge creation, increasing the innovation activities of companies in the hospitality sector, which reinforces that knowledge spillovers help to enhance innovation capabilities. The study's results show that it is essential for companies to manage knowledge. It also concludes that effective knowledge management facilitates the exchange of knowledge required in the innovation process. Knowledge spillovers improve the performance of innovation in companies through the development of new insights and innovation capabilities.

This research was carried out in a period of crisis. As expected in a troubled period, the results are extremely volatile. This study's sample is composed of Portuguese hospitality companies.

This research provides valuable insights into the overflow of explicit and tacit knowledge in the hotel industry. Moreover, this study offers new insights into the mediating role of knowledge management capability in the relationship between a hotel's knowledge overflow and its innovation performance.

According to the literature, general personality traits are less strongly related to the creation of new ventures than specific/proximal personality traits. Therefore, this study aims to understand the different proximal personalities that influence the entrepreneurial intention to start a new venture and the relationship between them.

Data were gathered through a self-administered questionnaire filled in by students of entrepreneurship or related courses at the end of the second semester (2019/2020 academic year), and the research option is based on covariance-based structural equation modelling.

The results of this study show that entrepreneurial intentions can be predicted by specific individual traits, namely, risk-taking, entrepreneurial alertness, creativity, proactivity and self-efficacy. Moreover, it was found that risk-taking mediates the relationship between entrepreneurial alertness and proactivity. On the other hand, students’ creativity mediates the relationship between risk-taking and proactivity. Finally, students’ self-efficacy mediates the relationship between proactiveness and entrepreneurial intention.

The results have implications for entrepreneurship education given that a better understanding of the personality traits that influence entrepreneurial intentions can lead to the development of new approaches and pedagogical tools.

This model can be used as a diagnostic tool for designing an effective and efficient entrepreneurship curriculum and pedagogy, acting as an (ongoing) audit of students’ entrepreneurial intentions to get a scientific basis in case of further course/module adjustments.

The purpose of this study is use a bibliometric analysis to explore the relational nature of knowledge creation in WFM in operations. Companies live under constant pressure to find the best ways to plan their workforce, and the workforce emangement (WFM) is one of the biggest challenges faced by managers. Relevant research on WFM in operations has been published in a several range of journals that vary in their scope and readership, and thus the academic contribution to the topic remains largely fragmented.

To address this gap, this review aims to map research on WFM in operations to understand where it comes from and where it is going and, therefore, provides opportunities for future work. This study combined two bibliometric approaches with manual document coding to examine the literature corpus of WFM in operations to draw a holistic picture of its different aspects.

Content and thematic analysis of the seminal studies resulted in the extraction of three key research themes: workforce cross-training, planning workforce mixed methods and individual workforce characteristics. The findings of this study further highlight the gaps in the WFM in operations literature and raise some research questions that warrant further academic investigation in the future.

Likewise, this study has important implications for practitioners who are likely to benefit from a holistic understanding of the different aspects of WFM in operations.

Companies need to innovate to remain in the market and be competitive. Thus, success will depend on your internal resources and the external sources of knowledge used. The cooperation between univerity and industry (U–I) allows companies to access resources that, in general, they do not have, allowing them to achieve innovation, competitive advantages, and competitiveness. The purpose of this study is to understand the determinants that influence U–I cooperation in creating knowledge and innovation.

This study analyzes the determinants considered essential for companies to establish cooperation processes with universities. The research uses the last community innovation survey data set, data from 14 countries, and 28,743 observations. The method uses logistic regression.

The results confirm that the company's size, the innovative capacities associated with R&D, exportation and public funds are essential and significant determinants for the cooperation with universities. On the other hand, the acquisition of machinery and training programs are not a critical factor in establishing cooperation with universities that are not in the same country. The analysis considered companies cooperation with universities of the same country, from the European Union (EU) or other countries outside EU.

In addition to providing substantial theoretical contributions on the subject, this research also provides more information about the importance of U–I cooperation, allowing to characterize companies interested in developing U–I cooperation.

Microfoundations have received increasing attention in several management disciplines. This study aims to outline the uniqueness of microfoundations research in innovation, look at where it comes from and where it is going and provide rich opportunities for future work.

To advance research in this area, this study conducted a systematic literature review combining mixed methods and creating a mapping framework to take stock of progress in the innovation microfoundations research field.

This study shows how distinct subfields have formed around key ideas expressed in subsets of seminal articles, shedding light on the relational nature of knowledge creation – uncovering these subfields’ characteristics, evolution and future trajectories.

This study develops a framework that reflects a critical analysis of the microfoundations of innovation within dos three research levels – individual, process and interaction and structure – and highlights the research gaps and potential research questions for future research that reflect the broad spectrum of approaches in the microfoundations of innovation literature.

Social initiatives must disclose their results to access support. However, there is no theoretical consensus about how to do it. It is still necessary to understand the value creation in social initiatives because they may or not have economic goals. However, these goals serve to make the social ones feasible. This study aims to cut this Gordian knot by providing measures aligned to the value theory but developed by the social lens. It offers a non-economic-focused approach to dealing with assessment complexity and with multiple stakeholders’ needs for information.

A consolidation research path is suggested by three composed measures built upon tested and reliable scales. These value measures are discussed through narratives from Portuguese investors and social entrepreneurs in a mixed-methods design. Content analysis and online survey provided data for descriptive statistics, exploratory factor analysis and Cronbach's alpha test.

The analyses supported the value measures. Thus, they allow an effective way to assess and report the social value created. It also highlighted a potential use in preventive and corrective approaches helpful for several organizations that pursue social goals.

The measures were tested based on social entrepreneurs' opinions. Future studies can include beneficiaries' opinions, allowing comparisons that can help to set more realistic goals and better investment criteria.

The relationship between investors and initiatives can improve, boosting their impact on society. The measures can highlight prioritization choices that influence the way value is created. Hence, they serve as a sensemaking from a holistic standpoint.

The purpose of the present work is to improve the industry performance by identifying and quantifying the risks faced by the Indian pharmaceutical industry (IPI). The risk values for the prominent risks and overall industry are determined based on the four risk parameters, which would help determine the most contributive risks for mitigation.

An extensive literature survey was done to identify the risks, which were also validated by industry experts. The finalized risks were then evaluated using the fuzzy synthetic evaluation (FSE) method, which is the most suitable approach for the risk assessment with parameters having a set of different risk levels.

The three most contributive sub-risks are counterfeit drugs, demand fluctuations and loss of customers due to partners' poor service performance, while the main risks obtained are demand, financial and logistics. Also, the overall risk value indicates that the industry faces medium to high risk.

The study identifies the critical risks which need to be mitigated for an efficient industry. The industry is most vulnerable to the demand risk category. Therefore, the managers should minimize this risk by mitigating its sub-risks, like demand fluctuations, bullwhip effect, etc. Another critical sub-risk, the counterfeit risk, should be managed by adopting advanced technologies like blockchain, artificial intelligence, etc.

There is insufficient literature focusing on risk quantification. Therefore, this work addresses this gap and obtains the industry's most critical risks. It also discusses suitable mitigation strategies for better industry performance.

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.

This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.

The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).

The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.

The purpose of this study is to identify global trends in disruptive technological change and map the social and policy implications, particularly as they relate to the educational ecosystem and main stakeholders across all levels of education.

The authors conducted a two-stage meta-analysis of 1,155 scholarly, peer-reviewed articles. The investigation involves a systematized literature review for data identification and collation adhering to defined selection criteria, and a network analysis to scrutinize data, consolidate information and unveil correlations and patterns from the literature review to produce a set of recommendations.

The study unveiled educational trends related to disruptive technologies and delineated four principal clusters representing how these technologies are transforming the education ecosystem. Additionally, a series of transversal aspects that reveal a societal vulnerability toward future prospects in the realms of ethics, sustainability, resilience, security, and policy were identified.

The findings spotlight an enlarging chasm between industry (and society at large) and conventional education, where many transformations triggered by disruptive technologies remain absent from teaching and learning systems. The study further offers recommendations and envisions potential scenarios, urging stakeholders to respond based on their positions concerning disruptive technologies.

Expanding from the meta-analysis of pertinent literature, this paper offers four collections of curated resources, four mini case studies and four scenarios for policymakers and local communities to consider, enabling them to plot courses for their optimal futures.