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Job competency frameworks are based on the listing skills required for a job. The assumption is that if a candidate is presumed to have the skills, then the candidate should be able to do the job. Thus, employers hope to identify prospective employees having the required skills. However, this may differ from knowing whether the employee is ready to be trusted to do the job activities with minimal or no supervision. The authors pose the question how employers might know about the capability of prospective employees to perform the job activities for which the employees are being hired.

In health professions education, a job activity-based framework has been developed called “entrustable professional activities” (EPAs, activities to be entrusted). This paper reviews the job activity framework and EPAs used in medical education, considering how this might support preparation for work in other sectors of the labor market.

The authors describe the EPA framework, some implementation issues and how EPAs lead to a type of microcredential being awarded to individuals as the individuals demonstrate that the individuals can be entrusted with specific job activities.

The focus of this paper is to demonstrate that a medical education model could potentially be adopted by other industries to provide employers with information regarding the ability of a prospective employee in performing the job activities required. Such an approach would address employer's concerns about the job readiness of potential employees.

The purpose of this paper is to introduce a generalization of the time-varying correlation elliptical copula models and to analyse its impact on the tail risk of a portfolio of foreign currencies during the Covid-19 pandemic.

The authors consider a multivariate time series model where marginal dynamics are driven by an autoregressive moving average (ARMA)–Glosten-Jagannathan-Runkle–generalized autoregressive conditional heteroscedastic (GARCH) model, and the dependence structure among the residuals is given by an elliptical copula function. The correlation coefficient follows an autoregressive equation where the autoregressive coefficient is a function of the past values of the correlation. The model is applied to a portfolio of a couple of exchange rates, specifically US dollar–Japanese Yen and US dollar–Euro and compared with two alternative specifications of the correlation coefficient: constant and with autoregressive dynamics.

The use of the new model results in a more conservative evaluation of the tail risk of the portfolio measured by the value-at-risk and the expected shortfall suggesting a more prudential capital allocation policy.

The main contribution of the paper consists in the introduction of a time-varying correlation model where the past values of the correlation coefficient impact on the autoregressive structure.

Small and medium-sized enterprises (SMEs) are a major source of employment and revenue growth in developing nations like India, but they also face challenges from resource shortages, shifting consumer demand and heightened competition. This research aims to discover the aspects that enhance SMEs' competitiveness and performance.

By analyzing literature and consulting experts, 10 factors that boost a firm's competitiveness were identified. The total interpretive structural modeling (TISM) method was then used to determine their interaction and structural hierarchy. Neutrosophic-MICMAC analysis was employed to assess the driving-dependence power of each factor.

The study discovered that the factor, namely “entrepreneurial orientation,” was found to be a significant one. “Manufacturing strategy” was found to be extremely dependent on the remaining competitive advantage factors.

This SME-focused framework can be adopted by large businesses to enhance organizational performance by focusing on critical factors. The study depends on experts' judgment, which might be biased. Findings will assist SMEs in identifying significant factors influencing competitive advantage and relationships, increasing awareness of factors contributing to competitive edge.

The results of the research may encourage SME sector managers and practitioners to prioritize the factors that contribute to a firm's competitive advantage.

The majority of research on SME competitive advantage focuses on individual aspects. To add to the body of knowledge on the subject, this study applies the TISM technique to Indian SMEs to identify the contextual interactions among factors that increase long-term competitiveness.

Small businesses are facing evolving environments, with a resulting need to shift their traditional approaches toward new business models (BMs). Many face difficulties within this transition process due to their specific resource constraints. Based on this, incremental changes to the BM – business model transition (BMT) – are proposed as comprising a suitable framework for entrepreneurial small businesses.

This study conducts a systematic literature review (SLR) to cover a broad range of relevant literature within a final sample of 89 articles. The SLR method was chosen to integrate research in a systematic, transparent and reproducible way. For qualitative analysis and framework derivation, the study draws on a thematic ontological analysis.

The broad search criteria, focusing on BM, incremental BM changes and small businesses, pave the way for a comprehensive overview of multiple research streams of BM concepts (e.g. digital and sustainable BM). The main contribution of this work is the resulting holistic BMT framework, comprising the main parts BM innovation, external antecedents (transition of environment, entrepreneurial ecosystem), internal antecedents (dynamic capabilities, entrepreneurial orientation, resilience, strategy) and output (firm performance).

The framework provides guidance for entrepreneurs and entrepreneurial managers to implement and complete BMT in small businesses. Furthermore, the presented paper sets a future research agenda focusing on small businesses structured according to the derived framework.

This study provides the first SLR of existing BM concepts with a small-business specific perspective on BMI and a focus on various incremental BM changes.

This study aims to analyze how various contingencies within the contingency theory influence the entrepreneurial orientation (EO) elements and performance of retail franchisees in a South Pacific Island nation.

This study employs a quantitative approach of data collection from 203 managers in a total of 89 retail franchise outlets. Convenience and snowball sampling techniques were used with data analysis through SPSS AMOS and covariance-based structural equation modelling (CB-SEM).

The results confirmed that technology, innovation and promotion; competitive edge and value co-creation; high return opportunity capitalization; and empowerment and support influenced franchisee performance, while responsive customer focused leadership and competitor knowledge proved to be insignificant. The findings supported EO's influence on both financial and non-financial indicators, with greater influence on financial indicators. The result revealed that EO accounts for partial impact on franchisee performance, while the remaining impact could be attributed to organization and environment contingencies.

The study proposes a novel context of EO in franchising, where we dissect key elements within the EO dimensions. It also adds to the extant literature on how the broader context of environmental and organizational factors termed as “strategic fit” affects entrepreneurial franchisee performance.

This study aims to conduct a systematic review of existing literature on ageism among older informal workers, as most studies have focused on formal work settings. Specifically, it seeks to identify the scope and characteristics of ageism that older informal workers encounter and its influence on their work and well-being.

This paper follows the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) framework to conduct a systematic review. Eleven studies from six databases were included and thematically analysed.

The findings revealed four main themes: the contextual nature of ageism, dimensions of work-related ageism, navigating work-related challenges, and effects on well-being. These themes highlight that, despite being perceived as experienced and reliable, older informal workers face exclusion from work opportunities as they are perceived as unproductive and less capable of acquiring new skills. These negative perceptions significantly impacted their willingness to continue working and overall well-being.

The findings offer an overview of extant research and the direction for future research and policy interventions to address ageism among older informal workers. The findings are crucial for enhancing older workers' quality of life, particularly in low- and middle-income countries, where population ageing is the fastest.

This study is one of the few to systematically explore and evaluate empirical evidence on ageism in the informal work sector. It thus expands existing knowledge and understanding of the phenomenon of ageism in a least explored context.

In this study, the authors use the actor-network theory (ANT) as a theoretical framework to better understand constructing learning as part of the networking process to produce innovations. Focussing on the antecedents of innovation within three teams in an engineering company, the authors propose a framework to enhance understanding of the innovative processes. The authors apply ANT to examine how informal learning is distributed amongst human and non-human actors.

Based on 27 interviews in a large Australian engineering company, the authors' qualitative investigation shows that innovation can have very different antecedents. The authors mobilised ANT as the authors' vantage point to explore inanimate actors and their effect on social processes or, more specifically, networks and informal learning.

The authors propose a framework to better understand innovative processes by exploring the network aspects of non-human actors and their connection to learning. More specifically, findings contribute towards a more granulated understanding of how networks, learning and non-human actors contribute towards innovations in organisations.

This study has three significant implications for managers and organisations looking to improve their innovation processes. Firstly, fostering open communication is essential for developing successful innovation processes. Secondly, a close relationship with the customer and/or the final users has often been found to positively contribute to innovation processes. Finally, intrateam motivation is also critical when it comes to creating an environment that supports innovation processes.

Surprisingly, leadership, communication and motivation did not give the best innovative outcome as the authors expected. Challenging traditional theorisations, low teamwork spirit and high individual performance orientation were some of the powerful drivers of highly innovative teams.