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As little is known about the productivity levels of small and medium-sized enterprises (SMEs) engaging with universities and the relative changes in productivity of SMEs subsequent to these collaborations, the paper examines the following questions: (1) Does the relative productivity of SMEs engaging in university collaboration differ from those that do not? (2) Are subsequent changes in firm productivity following university collaboration related to their initial levels of productivity?

The paper utilises data on 254 SMEs from the Longitudinal Small Business Survey and uses two statistical techniques: First, bivariate tests of difference were used to inspect the relationships between productivity levels and whether the firm collaborated with a university to introduce its innovation. Second, ordinary least squares regressions were used to test whether the future productivity of SMEs that collaborated with universities was related to their initial productivity levels.

The analysis reveals that SME–university collaboration is unrelated to starting productivity. Furthermore, the analysis suggests a nonlinear relationship exists between the starting productivity of SMEs and their subsequent productivity following a university collaboration. Therefore, higher levels of subsequent productivity are observed among those SMEs where starting productivity was either relatively low or high, suggesting that collaborations have a transformative effect on SMEs with relatively lower initial levels of productivity and a maintenance effect for SMEs with relatively higher levels of initial productivity.

Given the fact that the extant literature also suggests that, overall, university collaboration is beneficial, policymakers should strive to encourage greater levels of collaboration involving SMEs. In light of the evidence that SME–university collaborations can transform less productive firms, it appears unjustified for practitioners and policymakers to only consider stronger-performing firms to be included in such programmes.

The study contributes new theoretical and practical knowledge to the understanding of the role of firm productivity in predicting the proclivity of firms to collaborate with universities. Furthermore, as few studies have examined the impact of these collaborations on the subsequent productivity of firms that collaborate with universities, this paper fills an existing gap in the literature.

Our chapter focuses on the situation of children and adolescents with autism spectrum disorders (ASD) and their families in the context of the COVID-19 pandemic. We present the results of a qualitative study aimed at outlining the state of policies dedicated to individuals with ASD prior to and during the global health crisis. We conducted desk research based on documents published by third sector organisations dedicated to individuals with ASD and categorised in our study as epistemic communities. Next, we carried out interviews with parents and professionals on the social practices of supporting children and adolescents with ASD during the period of the COVID-19 pandemic in the region of Lesser Poland [PL: Małopolska]. The discourse of NGOs enabled us to identify the greatest challenges of individuals with ASD and their families and solutions introduced prior to and during the pandemic. Based on the accounts of parents and professionals, we found that as many as every single person with ASD struggled with the epidemic in an individual manner, ceasing pre-pandemic habits, adapting to the new school context, and missing contacts with peers were the major difficulties.

This chapter summarizes the knowledge on sleep and restitution. Sleep constitutes the recuperative process of the central nervous system. The use of the brain during wakefulness will lead to depletion of energy in the cortical areas locally responsible for activity. The level of depletion is monitored and sleep is initiated when critical levels are reached. The attempts to initiate sleep are perceived as sleepiness or fatigue. The ensuing sleep then actively restores brain physiology to normal levels. This also results in restored alertness, memory capacity, and mood. Also, peripheral anabolic processes (secretion of growth hormone and testosterone) are strongly enhanced and catabolic process (secretion of cortisol and catecholamines) are strongly suppressed. In the long run, reduced or impaired sleep leads to metabolic diseases, depression, burnout, and mortality. Stress and irregular hours are among the main causes of disturbed sleep.

This chapter uses airline data on fares, traffic, and flight characteristics to estimate a series of fare equations for international flights. The results are used to examine the role of international competition as a determinant of fares along international flights originating or departing from the United States. Findings suggest that actual and potential competition are important determinants of international airfares. We interpret these results as indicating that pricing behavior along US–international routes is consistent with the theory of imperfect contestability.

A Nation at Risk, the National Commission on Excellence in Education report, has captured the interest of the educational community as well as the nation as a whole. Educational journals, along with many popular periodicals, are full of reports and analyses of its recommendations. Many state education departments, agencies, and boards have also become involved in writing their own “States at Risk” reports. In light of all this activity, it seems appropriate to take a closer look at A Nation at Risk, especially those related reports issued as a result of the original document.

This paper aims to understand how cultural and creative industries (CCIs) contribute to regional innovation.

This paper explores the process of CCIs contributing to regional innovation and assesses the accumulated outcome of this process.

The authors conclude that CCIs contribute to a city’s innovation involving five dimensions (time, space, tangible, intangible and division) and four phases (people, tool, collaboration and brokerage) and the contributions are accumulated into positive innovation outcome; however, a highly developed economy is relatively unsupportive of CCIs contributing to regional innovation.

The main contributions are that the authors configured the detailed process of CCIs contributing to regional innovation and the authors quantitatively measured the impact of CCIs on regional innovation, using the Porter diamond model and Shannon entropy to construct the CCI index.

This research is an empirical study that addresses whether knowledge resources impact on, or do not impact on, innovation development and if this impact is mediated by dynamic capabilities in the medical tourism sector in Mashhad city, Iran.

A quantitative research methodology was applied and questionnaires were used for data collection in this study. A total of 108 questionnaires were collected of which 102 questionnaires were valid. Data were analyzed using structural equation modelling technique.

Empirical evidence obtained from the study reveals that the dynamic capability of learning plays a significant role in transforming knowledge resources into innovation in the medical tourism sector. The mediating role of coordinating capability in the relationship between explicit and tacit knowledge and innovation is considerable and it influences human capital, as well. Sensing capability also exhibits some degree of a mediating role; however, integrating capability is not influential and its role in transforming explicit knowledge to innovation is rejected.

Most studies on innovation in medical tourism focused on market and its typology, and neglected the role of knowledge resources and dynamic capabilities. The current study bridges this gap and thus contributes to the scientific literature.

Adoption of Clinical Decision Support Systems (CDSS) is a crucial step towards the digital transition of the healthcare sector. This review aims to determine and synthesise the influential factors in CDSS adoption in inpatient healthcare settings in order to grasp an understanding of the phenomenon and identify future research gaps.

A systematic literature search of five databases (Medline, EMBASE, PsycINFO, Web of Science and Scopus) was conducted between January 2010 and June 2023. The search strategy was a combination of the following keywords and their synonyms: clinical decision support, hospital or secondary care and influential factors. The quality of studies was evaluated against a 40-point rating scale.

Thirteen papers were systematically reviewed and synthesised and deductively classified into three main constructs of the Technology–Organisation–Environment theory. Scarcity of papers investigating CDSS adoption and its challenges, especially in developing countries, was evident.

This study offers a summative account of challenges in the CDSS procurement process. Strategies to help adopters proactively address the challenges are: (1) Hospital leaders need a clear digital strategy aligned with stakeholders' consensus; (2) Developing modular IT solutions and conducting situational analysis to achieve IT goals; and (3) Government policies, accreditation standards and procurement guidelines play a crucial role in navigating the complex CDSS market.

To the best of the authors’ knowledge, this is the first review to address the adoption and procurement of CDSS. Previous literature only addressed challenges and facilitators within the implementation and post-implementation stages. This study focuses on the firm-level adoption phase of CDSS technology with a theory refining lens.

The purpose of this research is to investigate the differences between financial crises of fear and confidence and the differential behavior between downtrends and recovery.

Five national stock markets have been analyzed – the USA (SP500), China (Hang Seng), Spain (IBEX 35), Japan (Nikkei) and Germany (DAX) – through the evolution of three world economic crises: the mortgage bubble crisis of 2007 in the first place, with special attention to the bankruptcy of Lehman Brothers, which will be treated as an independent crisis process, and the crisis caused by COVID-19. The behavioral finance theory, with the support of the complexity theory in the field of risk management, will establish the different behavioral biases that explain the differences between the two types of crises, fear and confidence, when confronted with risk.

Economic crises resulting from a shocking event, addressed as crises of fear in this research, such as Lehman Brothers or COVID-19, are fast-moving; all the economies analyzed show a common pattern of evolution. The difference is found in the recovery periods in which the previous parallelism does not continue. Crisis events that arise from a social context, addressed as crises of trust in this research, follow similar patterns in their evolution; nonetheless, the start date presents higher variations than those originated by a shock. These crises also lack parallelism between fall and recovery.

Understanding crisis process patterns may help to prevent them and alleviate their effects when they occur.

Understanding crisis process patterns may help to prevent them and alleviate their effects when they occur. This constitutes an original field of research.