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The high and persistent unemployment rates of people with intellectual disabilities (PwID) reveal the wide gap that still remains to be bridged. Entrepreneurship combinedly with a high enterprising tendency could improve PwID's life satisfaction.

A mixed-method approach was used, based on questionnaires and structured face-to-face interviews on 37 PwID who had recently become entrepreneurs. Data were firstly quantitatively analyzed using partial least squares-structural equation modelling (PLS-SEM), and qualitative data were used to enable robust findings.

The entrepreneurial tendency of PwID who had recently become entrepreneurs was found to be a positive to their life quality (LQ), job satisfaction and life satisfaction.

This study revealed that entrepreneurship among PwID who had high enterprising tendency enhances their LQ, job satisfaction and life satisfaction. However, further research could evaluate whether becoming an entrepreneur is in itself enough to change PwID's life to better, such that a comparison could be done between PwID who become entrepreneurs and PwID who have a salaried job.

New aspects in the design of public social policies to improve PwID's life satisfaction are suggested. These include the facilitation of both entrepreneurship and enterprising tendency for PwID to enhance their life satisfaction.

There are very few occasions in which PwID set up businesses. This is one of the first studies to analyze the benefit of entrepreneurship and enterprising tendency on the LQ, the satisfaction at work and the life satisfaction of PwID.

This paper aims to derive a reduced-order model for the heat transfer across the interface between a millimetric thermocapillary liquid bridge from silicone oil and the surrounding ambient gas.

Numerical solutions for the two-fluid model are computed covering a wide parametric space, making a total of 2,800 numerical flow simulations. Based on the computed data, a reduced single-fluid model for the liquid phase is devised, in which the heat transfer between the liquid and the gas is modeled by Newton’s heat transfer law, albeit with a space-dependent Biot function Bi(z), instead of a constant Biot number Bi.

An explicit robust fit of Bi(z) is obtained covering the whole range of parameters considered. The single-fluid model together with the Biot function derived yields very accurate results at much lesser computational cost than the corresponding two-phase fully-coupled simulation required for the two-fluid model.

Using this novel Biot function approach instead of a constant Biot number, the critical Reynolds number can be predicted much more accurately within single-phase linear stability solvers.

The Biot function for thermocapillary liquid bridges is derived from the full multiphase problem by a robust multi-stage fit procedure. The derived Biot function reproduces very well the theoretical boundary layer scalings.

China’s foreign aid efforts in Africa remain contentious. Chinese foreign aid tends to be different from “traditional” development assistance in that it frequently involves firms as the implementing agents of projects. Firms bring unique resources to public–private partnerships (PPPs) formed with government agencies, but their possible self-interested nature also gives rise to concerns over their development impact. Yet, on a larger scale, little is known about the characteristics of Chinese PPPs in foreign aid. Using project-level data available for 1,308 Chinese aid projects in 50 countries across Africa, the author characterizes the projects undertaken by firms and government agencies in a PPP and contrasts them to those executed by Chinese government agencies without firm involvement. This exploratory data analysis suggests that important differences apply, as Chinese PPPs tend to target different sustainable development goals (SDGs), work on the basis of distinct aid conditions, and implement projects that tend to be larger than those that are solely run by government agencies. Such observations raise important questions of an ethical, theoretical, and international nature, and warrant further research. The author develops a research agenda that aims at issues particularly important for business ethics scholars, organization theorists, and international business scholarship.

This study aims to assess the alignment of South Korea’s government-certified social enterprises (GCSEs) with prevailing social enterprise (SE) models, notably the entrepreneurial nonprofit, social cooperative and social business models delineated in the “Emergence of Social Enterprises in Europe” (Defourny and Nyssens, 2012, 2017a, 2017b) and the “principle of interest” frameworks (Defourny et al., 2021). Thereby, it seeks to situate these enterprises within recognized frameworks and elucidate their hybrid identities.

Analyzing panel data from 2016 to 2020 for 259 GCSEs, this study uses tslearn for k-means clustering with dynamic time warping to assess their developmental trajectories and alignment with established SE models, which echoes the approach of Defourny et al. (2021). We probe the “fluid” identities of semi-public sector SEs, integrating Gordon’s (2013) notion that they tend to blend various SE traditions as opposed to existing in isolation.

Results indicate that GCSEs do align with prevalent SE frameworks. Furthermore, they represent a spectrum of SE models, suggesting the versatility of the public sector in fostering diverse types of SEs.

The concept of a semi-public sector SE model has been relatively uncharted, even though it holds significance for research on SE typologies and public sector entrepreneurship literature. This study bridges this gap by presenting empirical evidence of semi-public SEs and delineating the potential paths these enterprises might take as they amalgamate various SE traditions.

To date, to the best of the authors’ knowledge, the use of implicit measures in the service research domain is limited. This paper aims to introduce implicit measures and explain why, or for what purpose, they are worthwhile to consider; how these measures can be used; and when and where implicit measures merit the service researcher’s consideration.

To gain an understanding of how implicit measures could benefit service research, three promising implicit measures are discussed, namely, the implicit association test, the affect misattribution procedure and the propositional evaluation paradigm. More specifically, this paper delves into how implicit measures can support service research, focusing on three focal service topics, namely, technology, affective processes including customer experience and service employees.

This paper demonstrates how implicit measures can investigate paramount service-related subjects. Additionally, it provides essential methodological “need-to-knows” for assessing others’ work with implicit measures and/or for starting your own use of them.

This paper introduces when and why to consider integrating implicit measures in service research, along with a roadmap on how to get started.

In this article, I answer the call to normalize and discuss how ethnographers navigate failure in the field by sharing my own experiences from long-term fieldwork in Malawi. I highlight, particularly, my own struggles with feelings of failure and the role of my interlocutors in helping me navigate and understand these situations.

My argument is based on more than 18 months of ongoing in-depth ethnographic fieldwork in Malawi, where I study the everyday practices of civil servants active in disaster governance, focusing on those working for the Malawi Government Department of Disaster Management Affairs (DODMA).

I use ethnographic vignettes to show how my interlocutors tried to teach me what being a Malawian civil servant is all about, which often came most forcefully to the fore in moments where either I or they deemed that I had failed to behave like one.

This adds new empirical data to the discussions on the various manifestations and roles of failure in ethnographic research, underlining how frictions and feelings of failure are a difficult yet productive and central part of fieldwork and ethnographic data creation.

Public sector institutional entrepreneurship efforts may contribute to addressing social challenges by creating an enabling regulatory environment that promotes social enterprise formation and fosters complementarity between the public sector and social enterprises. The outcomes of such public sector institutional entrepreneurship are explored in this study. To assess the outcomes of such public sector initiatives in South Korea, the perspectives of executives (n = 40) of government-certified social enterprises are assessed.

Several research methodologies were combined, including purposive sampling with an 11-point Likert scale, hierarchical clustering and principal component analysis. The literature on government–nonprofit relations as well as public sector institutional entrepreneurship was leveraged.

This research results indicate that the enabling regulatory environment with entrenched funding and incubation mechanisms produces mixed-to-positive outcomes if framed with reference to public sector–social enterprise complementarity. The authors identified three perspective-based ideal types that have differential views of isomorphic regulatory pressures, the efficacy of incubation and scaling programs, participation in policymaking and other aspects of public sector patronage.

This study contributes to relating the literature on public sector institutional entrepreneurship and government–third sector relations by empirically assessing how social enterprises attracted by government demand-side signaling to become certified as social enterprises encounter and perceive an ostensibly enabling regulatory ecosystem, with its derivative policies and mechanisms, crafted by the public sector.

Gas insulated systems, such as gas insulated lines (GIL), use insulating gas, mostly sulfur hexalfluoride (SF₆), to enable a higher dielectric strength compared to e.g. air. However, under high voltage direct current conditions, charge accumulation and electric field stress may occur, which may lead to partial discharge or system failure. Therefore, numerical simulations are used to design the system and determine the electric field and charge distribution. Although the gas conduction shows a more complex current–voltage characteristic compared to solid insulation, the electric conductivity of the SF₆ gas is set as constant in most works. The purpose of this study is to investigate different approaches to address the conduction in the gas properly for numerical simulations.

In this work, two approaches are investigated to address the conduction in the insulating gas and are compared to each other. One method is an ion-drift-diffusion model, where the conduction in the gas is described by the ion motion in the SF₆ gas. However, this method is computationally expensive. Alternatively, a less complex approach is an electro-thermal model with the application of an electric conductivity model for the SF₆ gas. Measurements show that the electric conductivity in the SF₆ gas has a nonlinear dependency on temperature, electric field and gas pressure. From these measurements, an electric conductivity model was developed. Both methods are compared by simulation results, where different parameters and conditions are considered, to investigate the potential of the electric conductivity model as a computationally less expensive alternative.

The simulation results of both simulation approaches show similar results, proving the electric conductivity for the SF₆ gas as a valid alternative. Using the electro-thermal model approach with the application of the electric conductivity model enables a solution time up to six times faster compared to the ion-drift-diffusion model. The application of the model allows to examine the influence of different parameters such as temperature and gas pressure on the electric field distribution in the GIL, whereas the ion-drift-diffusion model enables to investigate the distribution of homo- and heteropolar charges in the insulation gas.

This work presents numerical simulation models for high voltage direct current GIL, where the conduction in the SF₆ gas is described more precisely compared to a definition of a constant electric conductivity value for the insulation gas. The electric conductivity model for the SF₆ gas allows for consideration of the current–voltage characteristics of the gas, is computationally less expensive compared to an ion-drift diffusion model and needs considerably less solution time.