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Assessing project criticality in a project portfolio (PP) is of great practical significance to improve robustness from damage. While project criticality assessment has increased diversity in approaches, the understanding of vulnerable project impacts is still limited. To promote a better understanding of assessing project criticality, a vulnerability measurement model is constructed.

First, integrating the tasks, projects and corresponding relationships among them, a project portfolio network (PPN) is constructed. Second, the project's vulnerability is measured by combining the topological structure and functional attributes. Third, project criticality is assessed by the vulnerability measurement results. Lastly, the proposed model is applied in a numerical example to illustrate its suitability and effectiveness.

For academia, this study provides a novel perspective on project vulnerability measurement and expands project criticality assessment tools. For practitioners, the straightforward model provides an effective tool for assessing project criticality and contributes to enhancing project portfolio management (PPM).

The impact of the task on the project is considered in this study. Topological structure and functional attributes are also integrated for measuring project vulnerability due to the impact of random attacks in an uncertain environment, providing a new perspective on the requirements of project criticality assessment and the measurement of project vulnerability.

The objective of this work is to demonstrate the relationships between the two main processes of research and development (R&D) activities: the knowledge generation phase (KPP) and the knowledge commercialization, or transfer, phase (KCP), in a sector that is intensive in this type of activity, such as the pharmaceutical sector. In addition, within the framework of the general objective of this work, the authors propose two other objectives: (1) make advances in network efficiency measurement models, and (2) determine the factors associated with efficiency in the KPP and in the KCP in companies of the pharmaceutical sector in Spain.

A Network Data Envelopment Analysis (NDEA) model (Färe and Grosskopf, 2000) with categorical variables (Lee et al., 2020; Yeh and Chang, 2020) has been applied, and a sensitivity analysis of the obtained results has been performed through a DEA model of categorical variables, in accordance with the work of Banker and Morey (1986), to corroborate the results of the proposed model. The sample is made up of 77 companies in the pharmaceutical sector in Spain.

The results obtained point to a greater efficiency of pharmaceutical companies in the KPP, rather than in the KCP. Furthermore, the study finds that 1) alliances between companies have been the accelerating factors of efficiency in the KCP (but patents have slowed this down the most); 2) the quality of R&D and the number of R&D personnel are the factors that most affect efficiency in the KPP; and 3) the quality of R&D again, the benefits obtained and the position in the market are the factors that most affect efficiency in the KCP.

The authors have not found studies that show whether the efficiency obtained by R&D-intensive companies in the KPP phase is related to better results in terms of efficiency in the KCP phase. No papers have been found that analyse the role of alliances between R&D-intensive companies and patents, as agents that facilitate efficiency in the KCP phase, covering the gap in the research on both problems. Notwithstanding, this work opens up a research path which is related to the improvement of network efficiency models (since it includes categorical variables) and the assessment of the opinions of those who are responsible for R&D departments; it can be applied to decision-making on the aspects to improve efficiency in R&D-intensive companies.

This paper focuses on the unconditionally optimal error estimates of a linearized second-order scheme for a nonlocal nonlinear parabolic problem. The first step of the scheme is based on Crank–Nicholson method while the second step is the second-order BDF method.

A rigorous error analysis is done, and optimal L² error estimates are derived using the error splitting technique. Some numerical simulations are presented to confirm the study’s theoretical analysis.

Optimal L² error estimates and energy norm.

The goal of this research article is to present and establish the unconditionally optimal error estimates of a linearized second-order BDF finite element scheme for the reaction-diffusion problem. An optimal error estimate for the proposed methods is derived by using the temporal-spatial error splitting techniques, which split the error between the exact solution and the numerical solution into two parts, that is, the temporal error and the spatial error. Since the spatial error is not dependent on the time step, the boundedness of the numerical solution in L∞-norm follows an inverse inequality immediately without any restriction on the grid mesh.

In this chapter, Mousumi De presents the principles and implications of CRT in the context of Asian and Asian American experiences including the perspective, features, strategies, and new directions on how to facilitate the preparation of teacher candidates and work with all teachers to understand the complexity of the Asian and Asian American identity, their racialized experiences, and their sociohistorical, transnational contexts that continue to influence their lived experiences. This chapter highlights the important issues and challenges facing Asians and Asian Americans that have been camouflaged by their stereotypical treatment as model minorities. It also shares the work of many scholars on approaches for promoting diversity and inclusion, such as implementing anti-racist, anti-oppressive, and inclusive history curricula, cultural citizenship education, teaching for social justice, and culturally responsive and culturally sustaining teaching for addressing the marginalization of Asians and Asian Americans.

Black boys report experiencing more school-based racial discrimination than any other group (Butler-Barnes et al., 2019). Additionally, Black boys are viewed as older and less innocent than their peers beginning as early as 10 years old (Goff et al., 2014). Black boys are also suspended and expelled at much higher rates than other students (Graves & Wang, 2022). As such, there needs to be an investment in asset-based research designed to understand the factors that can help Black boys cope with these perceptions. Consequently, this chapter will discuss strengths based protective factors that will aid in the promotion of positive outcomes in Black boys.

Recent research suggests positive links between adolescents' participation in sports and the quality of their relationships with their fathers. It is unclear, however, the degree to which the gendered nature of sports, and in particular the ways sports have been used to define and express masculinity, mean that these important links between sports participation and parent–child relationships might or might not extend to relationships with mothers. Recent scholarship connects joint recreational activities to mother–child relationships, but here we extend these ideas in connection to adolescents' formal sports participation. We use the National Longitudinal Study of Adolescent to Adult Health from the United States to evaluate potential connections between adolescent sports participation and maternal relationships, focusing on the adolescent's perspective on joint activities with mother, closeness to and warmth and communication with mother, and satisfaction with the relationship with mother. We also examine whether these associations differ for boys and girls. We found that adolescents' sports participation was good for relationships with their mothers, but also that there were gender differences in how sport paid off for boys and girls. We discuss our findings in terms of contemporary shifts in gendered norms and conclude that gender may remain salient to how sports participation can promote mother–child relationships.

Purpose of This Chapter: This research aims to study the need for more age of qualified talent. The evolving corporate needs, education, and curriculum require urgent reform. Current university methods do not align with corporate demands due to outdated content and ineffective pedagogy.

Design / Methodology / Approach: Drawing on established research, this study delves into 7 prominent training strategies across 14 sectors. A survey of 53 HR professionals and managers forms the basis for employing the non-linear best–worst method (BWM) and the Fuzzy BWM to discern the most effective training and development (T&D) modules. This comprehensive methodology ensures a nuanced analysis of T&D practices and insights for businesses seeking to align with Industry 5.0 demands.

Findings: On-the-job training emerges as the most impactful method, followed by case studies, interactive group learning, and more. These methods enhance employee skills in Industry 5.0.

Research Limitations: Limited by a small sample, future research should expand participant diversity for robustness.

Practical Implications: The study holds significance for bridging the skill gap between academic institutions and Industry 5.0. Aligning strategies with industry needs reduces skill disparities, fuels growth, and addresses employability. The study’s impact extends to society, lowering unemployment and shaping a resilient, adaptable workforce for Industry 5.0.

Originality: This innovative research examines decision-making for implementing T&D strategies in the emergence of Industry 5.0, aligning with a human-centric approach to business transformation.

In this paper, I explore what shapes the identities of digital nomads (DNs), a class of remote workers who travel and work concurrently. Through extensive fieldwork and interviews with 50 digital nomads conducted in seven coworking hostels in Mexico in 2022, I construct a theory of DN identity. I base this upon the frequent transformations they undergo in their Circumstances, which regularly change their worker identity.

DNs relinquish traditional social determinants of identity, such as nationality and religion. They define their personal identities by their passions and interests, which are influenced by the people they meet. DNs exist in inherently transitive social spaces and, without rigid social roles to fulfil, they represent themselves authentically. They form close relationships with other long-term travellers to combat loneliness and homesickness. Digital nomads define their worker identities around their location independence. This study shows that DNs value their nomadic lifestyle above promotions and financial gain. They define themselves by productivity and professionalism to ensure the sustainability of their lifestyle. Furthermore, digital nomad coworking hubs serve focused, individual work, leaving workplace politics and strict ‘office image’ norms behind. Without fixed social and professional roles to play, digital nomads define themselves personally according to their ever-evolving passions and the sustainability of their nomadic life. Based on these findings, I present a cyclical framework for DN identity evolution which demonstrates how relational, logistical, and socio-personal flux evolves DN’s worker identities.

Emerging market multinational companies have been vigorous in pursuing inorganic growth through cross-border acquisitions (CBAs). The fundamental studies till now have portrayed that rapid internationalization through CBAs tends to create value for these emerging market firms (EMFs) in the short term. However, there is an ambiguity about whether these firms endure better performance in the long term. The purpose of this study is to assess the long-term (ex-post) financial and operating performance of EMFs involved in overseas acquisitions before the COVID-19 pandemic hit the world economy.

CBAs completed by Indian and Chinese companies constitute the sample of the study. The performance has been analysed during the pre-COVID period spanning 17 years from 2001 to 2017. A comprehensive set of 14 financial ratios has been used to represent change (improvement/decline) in enterprises’ post-acquisition operating performance; these ratios have been divided into four broad groups: profitability, efficiency, solvency and liquidity ratios.

The performance of Indian companies has deteriorated significantly after the acquisition. However, there has been no change (deterioration/improvement), subsequent to CBAs, in the profitability of Chinese firms.

The findings of the study support that firms from emerging economies exploit CBAs as a “springboard” to obtain strategic assets including intangible resources and brands rather than to achieve synergies through economies of scale and scope. Apparently, outbound acquisitions by emerging economy firms are not driven by cost-reduction or revenue-generation activities.

None of the studies, to the best knowledge of the authors, has carried out performance analysis using a comprehensive set of financial ratios. The comparative study of two emerging economies is another valuable addition to the existing literature. The study holds the potential to serve as the benchmark to assess the performance of CBAs executed after COVID-19.