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Introduction: A company or organisation must resolve various problems in the business environment for better operation in any corporate environment. Such issues are traditionally handled in multiple ways. A small sector unit with many employees encounters this corporate issue, for example, the handicraft sector. The impact of handicraft issues and their intensity, speed, and regularity is growing in our system.

Purpose: This chapter studies how small businesses might succeed in the handcraft industry in a volatile, uncertain, complex, and ambiguous (VUCA) environment. There is a lack of proper knowledge of how the VUCA affects business proficiency in the Indian handicraft sector. A novel business strategy for the handicraft sector, like other business proficiency called best practices in handicraft business in a VUCA environment, will be presented along with a discussion about VUCA environments. This considers both the individual influences of each particular word and the overall impact of VUCA.

Methodology: The study included a thorough literature analysis for three learning areas: performance improvement, including VUCA, and the leadership incorporation of risk and quality. Awareness in the trade will be examined in further sections, as the mastery of VUCA is achieved with various traditional and digital management ideas.

Findings: The research defined a new unorganised firm concept to maintain and succeed in a high VUCA environment in the handicraft sector, identifying 18 important success characteristics through a comprehensive literature review. The authors proposed a conceptual framework for fusing quality management to attain proficiency in the handicraft sector VUCA environment.

Although an increasing number of PhD holders will continue their careers outside academia, we know little about their further career prospects. To develop a better understanding of how this group constructs and justifies a successful career outside academia, we conducted semi-structured interviews with 47 PhD graduates from different disciplines (humanities, social and beta sciences) who have obtained elaborate experience working outside academia.

Drawing on a multi-career perspective, we explored the motivations of the PhD holders when making such career transitions. The findings from the interviews demonstrated how PhD holders’ main motivations were associated with their perceived organizational, community and cognitive careers. Our data analysis revealed that these motivations related to PhD holders and can be grouped along four key tensions:

• distanced from real life (academia) versus appreciating the practical impact of their research (currently);

• competition and performance orientation (academia) versus enjoying their current multidisciplinary collaboration towards a common goal (current);

• Individualism and loneliness were typically experienced in academia versus autonomy and intellectual stimulation in their current work; and

• lack of stable career perspectives in academia versus current options for competence-based development and personal growth.

distanced from real life (academia) versus appreciating the practical impact of their research (currently);

competition and performance orientation (academia) versus enjoying their current multidisciplinary collaboration towards a common goal (current);

Individualism and loneliness were typically experienced in academia versus autonomy and intellectual stimulation in their current work; and

lack of stable career perspectives in academia versus current options for competence-based development and personal growth.

Thus, while discontinuation of an academic career may easily hold a pejorative connotation, the analysis of the PhD holders’ motivations revealed important and rewarding opportunities in pursuing a career in other sectors. Overall, from our study, we can conclude that while a major gap may exist between careers in academia and ‘the corporate world’, shifting careers between these worlds is not as ‘unthinkable’ as commonly believed.

Little research is devoted to how salary allocation processes interfere with gender inequality in talent development in universities. Administrative data from a university indicated a substantial salary gap between men and women academics, which partially could be explained by the unequal distribution of men and women in the academic job levels after acquiring a PhD, from lecturer to full professor, with men being overrepresented in the higher job levels, as well as in the more senior positions within each job level. We demonstrated how a lack of transparency, consistency and accountability can disqualify apparent fair, merit-based salary decisions and result in biased gender differences in job and salary levels. This chapter reflects on how salary decisions matter for the recognition of talent and should be an integral part of talent management.

This chapter contributes to the scholarship of teaching and learning in extracurricular enterprise and entrepreneurship education. It draws on research from two annual ‘Business Challenge Weeks’ (BCW) held at Oxford Brookes University in 2021 and 2022, in which teams of postgraduate students from three faculties worked on external client projects, supported by an academic mentor. It presents and discusses findings derived from a survey and interviews conducted after the second of these years. The chapter takes a transdisciplinary perspective, after Budwig and Alexander (2020), Piaget (1972) and Klein et al. (2001) and explores the relationship between this and the enterprise and entrepreneurship development pipeline set out by QAA (2018). It analyses the experiences of the three main participating groups engaged in the challenge weeks – students, external clients and academic mentors – and explores the organising challenges inherent in multiparty pedagogical initiatives. The chapter contributes to knowledge in this area by revealing and reflecting on the motivations and expectations of the three participant groups, the roles they played during the week and the outcomes they reported. It also expands understanding of transdisciplinary enterprise pedagogy.

This study aims to theoretically investigate the effect of activating corporate governance (CG) mechanisms on the association between adopting corporate social responsibility (CSR) and tax avoidance (TA). Based on the analyzing of the previous studies, the authors support the results of studies that found a positive effect for activating CG on the adoption of CSR. Also, they found that there is a negative impact of activating CG mechanisms on TA, as CG includes controls and procedures that contribute to limiting opportunistic behaviors of management and ensures making decisions that maximize value for shareholders. To the best of the authors' knowledge, it is the only chapter that examines the effect of activating CG mechanisms on the association between CSR and TA.

The standard method to estimate a stochastic frontier (SF) model is the maximum likelihood (ML) approach with the distribution assumptions of a symmetric two-sided stochastic error v and a one-sided inefficiency random component u. When v or u has a nonstandard distribution, such as v follows a generalized t distribution or u has a χ2 distribution, the likelihood function can be complicated or untractable. This chapter introduces using indirect inference to estimate the SF models, where only least squares estimation is used. There is no need to derive the density or likelihood function, thus it is easier to handle a model with complicated distributions in practice. The author examines the finite sample performance of the proposed estimator and also compare it with the standard ML estimator as well as the maximum simulated likelihood (MSL) estimator using Monte Carlo simulations. The author found that the indirect inference estimator performs quite well in finite samples.

Purpose: Students’ transition from education to employment is influenced by factors like the length and calibre of their education, demography, labour market conditions, and the general state of the economy. Regardless of the economy, education systems should seek to ensure that students have the skills required for the labour market. This will help them better transition from school to work. This study examines the work skills that companies require for entry-level positions in Romania.

Need for Study: Previously, text analysis studies treated the job market only for the IT industry in Romania. To understand the demand-side opportunities and restrictions, assessing the employment opportunities for young people in the Romanian labour market is necessary.

Methodology: A text mining approach from 842 unstructured data of the existing job positions in October 2022 for fresh graduates or students is used in this chapter. The study uses data from LinkedIn job descriptions in the Romanian job market. The methodology involved is focused on text retrieval, text-pre-processing, word cloud analysis, network analysis, and topic modelling.

Findings: The empirical findings revealed that the most common words in job descriptions are experience, team, work, skills, development, knowledge, support, data, business, and software. The correlation network revealed that the most correlated pairs of words are gender–sexual–race–religion–origin–diversity–age–identity–orientation–colour–equal–marital.

Practical Implications: This study looked at the job market and used text analytics to extract a space of skill and qualification dimensions from job announcements relevant to the Romanian employment market instead of depending on subjective knowledge.