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The purpose of this paper is to discuss the issues in studying hard-to-reach or dispersed populations, with particular focus on methodologies used to collect data and to investigate dispersed migrant entrepreneurs, illustrating shortcomings, pitfalls and potentials of accessing and disseminating research to hard-to-reach populations of migrant entrepreneurs.

A mixed methodology is proposed to access hard-to-reach or dispersed populations, and this paper explores these using a sample of Brazilian migrants settled in different countries of the world.

This paper explores empirical challenges, illustrating shortcomings, pitfalls and potentials of accessing and disseminating research to hard-to-reach populations of migrant entrepreneurs. It provides insights by reporting research experiences developed over time by this group of researchers, reflecting a “mixing” of methods for accessing respondents, contrasting to a more rigid, a-priori, mixed methods approach.

The main contribution of this paper is to showcase experiences from, and suitability of, remote data collection, especially for projects that cannot accommodate the physical participation of researchers, either because of time or cost constraints. It reports on researching migrant entrepreneurship overseas. Remote digital tools and online data collection are highly relevant due to time- and cost-efficiency, but also represent solutions for researching dispersed populations. These approaches presented allow for overcoming several barriers to data collection and present instrumental characteristics for migrant research.

The aim of this paper is to present a sampling method using virtual networks to study “hard‐to‐reach” populations. In the ambit of social research, the use of new technologies is still questioned because the selection bias is an obstacle to carry on scientific research on the Internet. In this regard, the authors' hypothesis is that the use of social networking sites (Web 2.0) can be effective for the study of “hard‐to‐reach” populations. The main advantages of this technique are that it can expand the geographical scope and facilitates the identification of individuals with barriers to access. Therefore, the use of virtual networks in non‐probabilistic samples can increase the sample size and its representativeness.

To test this hypothesis, a virtual method was designed using Facebook to identify Argentinean immigrant entrepreneurs in Spain (214 cases). A characteristic of this population is that some individuals are administratively invisible in national statistics because they have double nationality (non‐EU and EU). The use of virtual sampling was combined with an online questionnaire as a complementary tool for Web 2.0 research in behavioural sciences.

The number of cases detected by Facebook and the virtual response rate is higher than traditional snowball technique. The explanation is that people increase their level of confidence because the researcher shows his personal information (Facebook's profile) and also participates in their groups of interest (Facebook's groups). Moreover, the online questionnaires administration allows the quality of the information to be controlled and avoids duplication of cases.

The present article is the first that uses Facebook as an instrument to study immigrants. Therefore its adoption represents a great challenge in the social research field because there are many barriers of access and search. It also proposes a novel mix of traditional methodologies updated with the use of new virtual possibilities of studying hard to reach populations, especially in areas of social research where the contributions of these methods are less developed.

This study aims to understand the engagement between an indigenous social service provider and marginalised clients deemed “hard-to-reach” to gain an insight into how to improve the client’s engagement and well-being through transformative value co-creation.

The exploratory study’s findings draw on primary data employing a qualitative research approach through document analysis and in-depth interviews with clients, social workers and stakeholders of the focal social service provider in New Zealand.

The findings indicate that there are inhibitors and enablers of value or well-being co-creation. The lack of client resources and a mismatch between client and social worker are primary barriers. Other actors as well as cultural practices are identified as enablers of well-being improvement.

This research reports on a single social service provider and its clients. These findings may not be readily transferrable to other contexts.

Findings indicate that social service providers require a heightened awareness of the inhibitors and enablers of social service co-creation.

Both the integrative framework and the findings provide a sound critique of the prevailing policy discourse surrounding the stigmatisation of members of society deemed “hard-to-reach” and the usefulness of such an approach when aiming at resolving social issues.

This is the first exploratory study that reports on the engagement between a social service provider and its clients in a dedicated Māori (indigenous) context by employing an integrative research approach combining transformative service research, activity theory and engagement theory.

The purpose of this paper is to discuss the issues in studying hidden populations, with particular focus on methodology used to investigate ethnic minority entrepreneurs who illegally run their businesses in the UK. In this paper, on reflection, the authors look at what issues should be considered before engaging with such communities, as we identify current approaches and evaluate their merits.

Certain methodological problems are faced by researchers working with hidden populations, and this paper explores these using a sample of Ukrainian illegal self‐employed construction workers operating in London. Semi‐structured interviews with 20 Ukrainians showcase the issues raised and help illustrate the limited applicability of some commonly used research methods to ethnic minority entrepreneurship studies. The authors used an intermediary to help gain access to these illegal migrants in order to satisfy the sensitive issues of this vulnerable group of respondents.

The authors analyse the ethical considerations, problems and issues with access to such data, discuss early and more recent sampling methodologies and the ways to estimate the size of hidden population. This paper, hence, establishes the state‐of‐the‐art approaches in this field and proposes potential improvements in achieving representativeness of the data. Using the Ukrainian illegal self‐employed construction workers as an example, this paper evaluates the choices made by the researchers.

The main contribution of this paper is to showcase the methodological issues emerging when studying hard‐to‐reach groups and to emphasise the limited applicability of some methods to research on hidden populations.

The purpose of this paper is to investigate whether isolated illiteracy generates a barrier to knowledge about the Brazilian Federal Government’s Single Registry for social programs.

Based on information contained in the Brazilian National Household Sample Survey (Pesquisa Nacional por Amostra de Domicilios – PNAD) 2014, the propensity score matching method was combined with the algorithm proposed by Imbens (2015). The analyzed sample consists of two groups of illiterate individuals: isolated illiterates (IILs) (treatment group), which consists of only illiterate individuals who live with other illiterates; and proximate illiterates (PILs) (control group), which consists of illiterates who live with someone who is literate in the household.

Evidence indicates that IIL individuals are, on average, less likely to know about the single registry than PIL people.

The main limitation relates to the database since the only information available in the PNAD on the access to the single registry is for the year 2014.

The evidence found in the study reinforces the need to invest in the fight against illiteracy in Brazil.

Results show that a portion of the possible beneficiaries of social programs are still “invisible” to the government’s social protection networks, and this highlights the existence of possible errors of exclusion.

The paper compares two groups of illiterate people, a group that lives in an isolated illiteracy situation and the other that does not. It also assesses the effect of literacy externalities on the access to the Brazilian Single Registry.

The purpose of this paper is to focus on the methodological challenges in the design and implementation of an emotionally sensitive topic involving research with adolescents based on a study evaluating the experiences of adolescents and families facing a diagnosis of maternal cancer.

This conceptual paper builds an argument based on experiences from the field of qualitative data collection with adolescents and builds on arguments that were identified in the literature to provide with a detailed argument on the methodological challenges that researchers can face while undertaking sensitive research with young people.

Carrying out research on sensitive topics is challenging because rigour can be affected by real people experiencing pain, sorrow and other emotions linked to sensitive and difficult moments in their lives. Researchers need to decide how they will deal with the emotional impact that these topics can have on them as people but also continue to carry out high quality research.

This paper adds to the current body of knowledge by describing the challenges faced in the field carrying out data on sensitive issues with adolescents but it also provides alternatives and solutions on how these limitations can be overcome from early stages of the research design until the dissemination of results.

This study aims to examine the impact of employees' satisfaction with human resource management (HRM) practices (i.e. training satisfaction, performance appraisal satisfaction and pay satisfaction) on work engagement and subsequently employee turnover intentions. The mediating role of work engagement between employee satisfaction with HRM practices and turnover intentions is also assessed.

Data were collected from Malaysian oil and gas (O&G) professionals. A total of 442 useable questionnaires were obtained for the final data analysis. Partial least squares structural equation modeling (PLS-SEM) was performed to test the hypothesised relationships.

The findings indicate that training satisfaction and performance appraisal satisfaction are the key drivers of employee engagement at work. Work engagement in turn has a negative impact on employee turnover intentions. Furthermore, work engagement mediates the relationship between employees' satisfaction with HRM practices (i.e. training satisfaction and performance appraisal satisfaction) and turnover intentions. Nevertheless, it did not have any mediating effect on pay satisfaction and turnover intention.

Training plans should be designed to make the relevant jobs more attractive and fulfilling, thus increasing employees' level of work engagement. Besides, ensuring that the appraisal system is fair is pivotal to work engagement. Work engagement will cultivate a strong sense of emotional attachment between employees and employers, thus reducing the turnover intention of Malaysian O&G professionals.

To date, little has been done on employees' satisfaction with HRM practices with respect to their attitudinal and behavioural outcomes. The present study enhances our understanding of the importance of employees' satisfaction with HRM practices and its relation to employees' work engagement and turnover intentions.

The purpose of this paper is to examine gender differences in predictors of technology threat avoidance motivation and behavior among working US adults. Implications were considered in regard to cybersecurity awareness training motivation and perceptions of need for protective cybersecurity behavior in the workplace.

A single-shot regression-based study used ordinal regression supported by K-means clustering to evaluate the moderating effects of gender on predictors of technology threat avoidance motivation and behavior on a sample of n = 206 US adult workers.

The regression model explained 47.5% of variance in avoidance motivation and 39% of avoidance behavior variance. Gender moderated predictive associations between several independent variables and avoidance motivation: perceived susceptibility, perceived effectiveness, perceived cost and self-efficacy. Gender also moderated the association between avoidance motivation and avoidance behavior.

The predictive impact of gender extends beyond the main effects in technology threat avoidance. Data frequency distributions and inter-variable relationships should be routinely considered in threat avoidance studies, especially if sample variables exhibit non-normal frequency distributions and nonlinear associations.

Gender was significantly associated with threat avoidance motivation and avoidance behavior and exhibited notable associations with antecedents of avoidance motivation. Related insights can inform the design and delivery of training content relating to technology threat avoidance as organizations strive to more effectively leverage information technology end-users as protective assets for the enterprise.

The uniqueness of this study derives from its focus and findings regarding the moderating effects of gender on technology threat avoidance factors and techniques used to measure and evaluate the associations between them.

Elaborates on the diversity of the people movement between the USA and Mexico and the effect on goods and resources for the two, particularly regarding HIV/AIDS collaboration. Makes observations about the US/Mexico political‐organizational field, such as the governmental, service, activist, academic and religious. Spotlights San Diego – Tijuana as binational fields which prove a sound example of what can be achieved at local and federal levels – for the benefit of both communities. Concludes with policy recommendations for effective binational collaboration on the US and Mexican sides, with the USA providing more funds for the Mexican side of the border.

Although essential to social welfare, unpaid domestic and care work is an increasingly scarce resource in modern societies. Despite the growing need, many households refrain from outsourcing their domestic chores to the market. Simultaneously, the household service sector is mostly characterised by low-qualification, informal jobs lacking quality and professional standards. Drawing on transaction cost theory, the present study aims to examine how trust problems deriving from the quality and professionalisation of domestic services can be overcome by also exploring the role of state subsidies in this context.

A factorial survey experiment in Germany (N = 4024) causally explores the effect of state-subsidised service vouchers, quality signals and professionalisation on preferences and willingness-to-pay for domestic services. The data were analysed using multilevel modelling techniques.

Hypotheses are mostly confirmed: strong quality signals help overcome trust problems, thus facilitating the demand for household services. Further, service vouchers can generate better pay for domestic workers while simultaneously reducing the costs for households.

The relevance of professionalisation and quality of service as important determinants of domestic service demand is revealed. However, the experimental survey design involves hypothetical scenarios.

The analysis offers insights into how to stimulate demand for household services and increase formal employment in a sector currently largely characterised by informal arrangements. It further shows how social policies can help secure quality and foster professionalisation by shifting paid domestic work from the informal to the formal economy.