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This study aims to advance the understanding of both the challenges and the priorities facing Spanish universities undergoing the digital transformation era, to identify areas for improvement in university management, from a managerial point of view.

To analyze the importance and adequacy of various aspects related to digitalization, the authors use the importance–performance matrix, by surveying figures who have or have had a managerial position in the university, such as rectors and vice-rectors.

The results showed that the priority areas were related to strategic and financial management, knowledge management and the society and environment dimension. It all revealed imbalances, the most important of which were in the areas referring to attracting talent, sources of financing, strategic management and digitalization.

The study could benefit from considering or placing greater emphasis on alternative viewpoints, including those of external experts and administrative managers at public universities.

The practical implications relate to university management. In particular, the study highlights two issues that are a priority: attracting talent and training for university management as well as for data management. It follows from these results that legislative development and public funding should be directed towards adapting the training offer as well as the management structure and processes to the context of digitalization.

These results have implications for the public sphere, for decision-making related to the public funding that organizations receive from governments. Indeed, as the empirical results demonstrate, the proposed framework is effective not only in assessing the status of digitalization in the university but also in providing information on the most important aspects that need particular attention to achieve the desired future condition.

The novelty of this study lies in the analysis and evaluation of the digitalization process and how public universities are facing it, from the perspective of university management. Methodologically, the novelty lies in the use of the importance–performance matrix, which not only provides insight into the importance of different aspects to be analyzed but also provides information about their adequacy.

Family small and medium-sized enterprises (SMEs) represent a substantial part of many economies. In these organizations, close and informal relationships between employers and employees often foster a mutual understanding of each other’s needs, facilitating the negotiation of idiosyncratic deals (i-deals), special employment conditions tailored for individual employees. However, research on how i-deals are negotiated in family SMEs, especially regarding power dynamics and influence, remains limited. This study aims to identify the types of i-deals negotiated in family SMEs and explore the role of power and influence in these negotiations.

Semi-structured interviews were conducted with 45 employees and 15 employers from Spanish family SMEs. Data were analyzed using ATLAS.ti 8, and thematic analysis was performed.

The study concludes that task, flexibility, financial and development i-deals are particularly negotiated in family SMEs. It identifies that referent and expert power play an important role in initiating these negotiations. Furthermore, rational tactics are generally employed for negotiating work performance, soft tactics for employment-related aspects and hard tactics for work flexibility. Additionally, the study identified gender differences in the negotiation of i-deals.

This study enhances i-deal literature by highlighting the distinct characteristics of family SMEs and their impact on i-deal negotiations. The findings suggest that power dynamics and influence tactics in family SMEs differ from those in larger firms. Moreover, certain i-deals may encounter resistance due to concerns about organizational performance and economic implications. Understanding these factors is essential for developing effective negotiation strategies in family SMEs.

This study offers a dual perspective, analyzing the power and influence tactics used by both employees and employers in family SME i-deal negotiations and highlighting gendered dynamics in these processes.

Miller (2011) revisited his influential 1983 work on entrepreneurial orientation (EO) and remarked that its underlying drivers are fully open to debate, fresh scholarship and connection with new theories. Indeed, the genealogy of the EO construct is rarely questioned. We take a “making masculinity visible” approach, engaging with a lens of masculinity, precarious manhood theory (PMT) and double standards of competency, to define and test the masculine elements of EO in the setting of family business CEOs.

Using the 2019 Successful Transgenerational Entrepreneurship Project (STEP) dataset, a comprehensive database of family business chief executive officers (CEOs), we examined the construct of EO, in whole and in its masculine elements. Stepwise multiple regression method was used to test the hypotheses of this study. Control variables entered the equation first, followed by the variable of interest for this study.

We find differences by gender when EO is tested as a whole construct. Further in testing its masculine dimensions, we find that being male is significant to the elements of autonomy and competitive aggressiveness and that gender is not significant to risk-taking.

Although research on the widespread and influential EO continues to proliferate (Covin and Wales, 2019), there is not an understanding of its applicability across genders (Fellnhofer et al., 2016). It is possible that EO may not explain how women do business. Our study contributes to the understanding of between-gender differences in EO, and our findings suggest that the masculine elements of EO vary by gender.

This research aims to explore the complexities surrounding smart contracts enforcements in cross-jurisdictional transactions.

To achieve the aim of this study, doctrinal legal analysis was adopted. Although the subject is multidisciplinary, the aspect of enforcement in cross-jurisdictional transactions from legislative analysis does not require a technical method to be analysed, hence the adoption of this method. Where relevant legal academic journal articles were sourced and analysed along different legislative frameworks in some jurisdictions under review. To determine the legality of smart contracts, applicable law and court with jurisdiction to enforce blockchain smart contract disputes.

It was discovered that there remain fundamental questions regarding jurisdiction, applicable law and enforcement. Due to the problem of a uniform legislation to manage smart contract transactions.

This study limits itself to the legality of smart contracts within a conflict of laws, and it propels the need for either a choice of domestic legislation for parties to be bound or the adoption of a universal legal framework for all smart contract formation through an international treaty or convention that has a binding effect on contracting parties to a smart contract.

This study highlights the fact that the key elements of smart contracts within traditional contract requirements as provided in domestic legislation vary across jurisdictions. This variation results not only in conflict of law but also affects enforcement in cases of dispute in the contractual terms.

In the wake of the COVID-19 pandemics, the demand for innovative and effective methods of bacterial inactivation has become a critical area of research, providing the impetus for this study. The purpose of this research is to analyze the AuNPs-mediated photothermal inactivation of E. coli. Gold nanoparticles irradiated by laser represent a promising technique for combating bacterial infection that combines high-tech and scientific progress. The intermediate aim of the work was to present the calibration of the model with respect to the gold nanorods experiment. The purpose of this work is to study the effect of initial concentration of E. coli bacteria, the design of the chamber and the laser power on heat transfer and inactivation of E. coli bacteria.

Using the CFD simulation, the work combines three main concepts. 1. The conversion of laser light to heat has been described by a combination of three distinctive approximations: a- Discrete particle integration to take into account every nanoparticle within the system, b- Rayleigh-Drude approximation to determine the scattering and extinction coefficients and c- Lambert–Beer–Bourger law to describe the decrease in laser intensity across the AuNPs. 2. The contribution of the presence of E. coli bacteria to the thermal and fluid-dynamic fields in the microdevice was modeled by single-phase approach by determining the effective thermophysical properties of the water-bacteria mixture. 3. An approach based on a temperature threshold attained at which bacteria will be inactivated, has been used to predict bacterial response to temperature increases.

The comparison of the thermal fields and temporal temperature changes obtained by the CFD simulation with those obtained experimentally confirms the accuracy of the light-heat conversion model derived from the aforementioned approximations. The results show a linear relationship between maximum temperature and variation in laser power over the range studied, which is in line with previous experimental results. It was also found that the temperature inside the microchamber can exceed 55 °C only when a laser power higher than 0.8 W is used, so bacterial inactivation begins.

The experimental data allows to determinate the concentration of nanoparticles. This parameter is introduced into the mathematical model obtaining the same number of AuNPs. However, this assumption introduces a certain simplification, as in the mathematical model the distribution of nanoparticles is uniform.

This work is directly connected to the use of gold nanoparticles for energy conversion, as well as the field of bacterial inactivation in microfluidic systems such as lab-on-a-chip. Presented mathematical and numerical models can be extended to the entire spectrum of wavelengths with particular use of white light in the inactivation of bacteria.

This work represents a significant advancement in the field, as to the best of the authors’ knowledge, it is the first to employ a single-phase computational fluid dynamics (CFD) approach specifically combined with the thermal inactivation of bacteria. Moreover, this research pioneers the use of a numerical simulation to analyze the temperature threshold of photothermal inactivation of E. coli mediated by gold nanorods (AuNRs). The integration of these methodologies offers a new perspective on optimizing bacterial inactivation techniques, making this study a valuable contribution to both computational modeling and biomedical applications.

Competitiveness is an important personality trait that has been studied in various disciplines and has been shown to predict critical work outcomes at the individual level. Despite this, the role of competitiveness in groups and teams has received scant attention amongst organizational researchers. Aiming to promote future research on the role of competitiveness as both an adaptive and maladaptive trait – particularly in the context of work – the authors review competitiveness and its effects on individual and team stress and Well-Being, giving special attention to the processes of cohesion and conflict and situational moderators. The authors illustrate a dynamic multilevel model of individual and team difference factors, competitive processes, and individual and team outcomes to highlight competitiveness as a consequential occupational stressor. Furthermore, the authors discuss the feedback loops that inform the different factors, highlight important avenues for future research, and offer practical solutions for managers to reduce unhealthy competition.

The purpose of this paper is to present the results of measuring a sample of engineering students’ perceived achievement of complex thinking at different stages of their professional training. This study intended to analyze and predict the differences in the self-perception of achieved complex thinking competency by gender, semester, course of study and high school of origin.

The methodology included applying the E-Complexity instrument to 225 university students from northern Mexico. The initial comparison of groups used the chi-square test and two supervised learning algorithms (logit regression with Lasso regularization and a classification tree).

The findings of this study indicated that the selected undergraduate degree did not reveal differences in self-perceived performance in complex thinking, while gender, semester and high school of origin had significant differences.

Among the limitations of the study is the size of the sample and the fact that it only focused on engineering students from a single educational institution; however, this limitation responds to the exploratory nature of this study and the guidance of the institutional ethics committee. With these results, it is feasible to request an extension of the sample to include other disciplines to evaluate these findings, which, although relevant, cannot be considered exhaustive.

Regarding possible lines of research, the authors propose that given the difference between students who graduated from the high school of the same institution and those who did not, a possible line of research could explore new hypotheses on whether the policies and practices of the institution’s high school emphasize the development of complex thinking skills; the teachers of this high school are trained to teach complex thinking; and the learning materials of this high school are designed to develop complex thinking skills.

Recently, machine learning (ML) methods gained popularity in finance and accounting research as alternatives to econometric analysis. Their success in high-dimensional settings is promising as a cure for the shortcomings of econometric analysis. The purpose of this study is to prove further the relationship between intellectual capital (IC) efficiency and firm performance using ML methods.

This study used the double selection, partialing-out and cross-fit partialing-out LASSO estimators to analyze the IC efficiency’s linear and nonlinear effects on firm performance using a sample of 2,581 North American firms from 1999 to 2021. The value-added intellectual capital (VAIC) and its components are used as indicators of IC efficiency. Firm performance is measured by return on equity, return on assets and market-to-book ratio.

The findings revealed significant connections between IC measures and firm performance. First, the VAIC, as an aggregate measure, significantly impacts both firm profitability and value. When the VAIC is decomposed into its breakdowns, it is revealed that structural capital efficiency substantially affects firm value, and capital employed efficiency has the same function for firm profitability. In contrast to the prevalent belief in the area, human capital efficiency’s impact is found to be less important than the others. Nonlinearities are also detected in the relationships.

As ML tools are most recently introduced to the IC literature, only a few studies have used them to expand the current knowledge. However, none of these studies investigated the role of IC as a determinant of firm performance. The present study fills this gap in the literature by investigating the effect of IC efficiency on firm performance using supervised ML methods. It also provides a novel approach by comparing the estimation results of three LASSO estimators. To the best of the author’s knowledge, this is the first study that has used LASSO in IC research.

The recruitment and promotion of teaching academics in the UK is constrained by a complex array of career progression barriers. These barriers have led to an increasing trend of horizontal career (lack of) progression. The purpose of this paper is to reveal and discuss linearity and horizontality constrictions, challenges and issues impacting on potential careers in tourism academia.

This study uses a leading UK national academic recruitment website to gather data and insights from across 137 posted jobs related to tourism between 2020 and 2022.

The main findings of this work note the constrictions of the UK academic job market and the consequences it poses for academics within tourism and beyond. It is proposed that future research to further understand the realities faced by academics is needed to prompt action for change to create more enriching career development.

The contribution of this study centres around sense making a phenomenon that exists but is not often talked about within academia (whether in tourism or beyond). For academics and managers, this paper presents an opportunity to reflect more holistically on careers with a view to instigating valuable change moving forward (for oneself or others). There is also a dearth of studies relating to career progression of tourism higher education educators.