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This study examines the impact of college education on incorporated and unincorporated self-employments. It specifically compares the effects on African Americans and Hispanics with the effects on Whites.

The study sample was drawn from the US Current Population Survey between 1989 and 2018. Based on a sample size of 1,657,043 individuals, this study employed logit regression models to test the hypotheses. Racial variations were examined using African Americans and Hispanics as moderators.

The results suggest that college education increases incorporated self-employment and reduces unincorporated self-employment. The impact of college education on incorporated self-employment is stronger for African Americans and Hispanics than for Whites. In contrast, its effect on unincorporated self-employment is stronger for Whites than for African Americans and Hispanics.

The findings provide empirical evidence of how college experience changes the motivation of starting an incorporated or unincorporated business. The results suggest that college education impacts African Americans and Hispanics differently than Whites in pursuing their career path of entrepreneurship.

It is the first study that examines the relationship between college education and incorporated/unincorporated self-employment. It also sheds light on radical variations.

This study aims to investigate why anti-corruption statutes are not efficient in Nigeria’s upstream petroleum industry.

This study is a doctrinal legal research that embraces a point-by-point comparative methodology with a library research technique.

This study reveals that corruption strives on feeble implementation of anti-corruption legal regime and the absence of political will in offering efficient regulatory intervention. Finally, this study finds that anti-corruption organisations in Nigeria are not efficient due to non-existence of the Federal Government’s political will to fight corruption, insufficient funds and absence of stringent implementation of the anti-corruption legal regime in the country.

Investigations reveal during this study that Nigerian National Petroleum Corporation (NNPC) operations are characterised with poor record-keeping, lack of accountability as well as secrecy in the award of oil contracts, oil licence, leases and other financial transactions due to non-disclosure or confidentiality clauses contained in most of these contracts. Also, an arbitration proceeding limit access to their records and some of these agreements under contentions. This has also limited the success of this research work and generalising its findings.

This study recommends, among other reforms, soft law technique and stringent execution of anti-corruption statutes. This study also recommends increment in financial appropriation to Nigeria’s anti-corruption institutions, taking into consideration the finding that a meagre budget is a drawback.

This study reveals that corruption strives on feeble implementation of anti-corruption legal regime and the absence of political will in offering efficient regulatory intervention. Corruption flourishes due to poor enforcement of anti-corruption laws and the absence of political will in offering efficient regulatory intervention by the government.

The study advocates the need for enhancement of anti-corruption agencies' budgets taking into consideration the finding that meagres budgets are challenge of the agencies.

The purpose of this paper is to explore the experience of a cohort of staff who transferred from a medium-sized Irish pharmaceutical company to a US multinational, while remaining in the same building as their original employers and colleagues. It highlights the role of acknowledging loss when facilitating employee transition and the co-development of a communication and integration strategy in transitioning to a new organisation.

An exploratory qualitative case study captures the experiences of the senior manager responsible for the business unit transition and a cohort of 32 employees who moved to the US multinational. Conversations between the senior manager (author three) and his academic peers (authors one and two) trace the experience of this team as they transitioned to the new organisation.

Insights are offered through the transition journey – from the unofficial partial-acquisition offer through to the due diligence period and onto the subsequent implementation of the communication and integration strategy. Findings exhibit a co-developed a communication and integration strategy, revealing a largely successful initial integration of the team into the new organisation.

The paper offers a first-hand account of the steps taken in a successful employee transition to a new organisation following a partial acquisition. It describes how acknowledging loss is a valuable first step in the transition process, enabled by the design and adoption of a co-created communication and integration strategy.

The production of the ‘good life’ or the ‘less bad-life’ (Berlant, 2007, 2011), especially among generations of the Marcos dictatorship and the Epifanio de los Santos Avenue revolutions (henceforth, EDSA revolutions) in the Philippines, is animated by the ‘mobility imperative’ (Farrugia, 2016). The mobility imperative includes processes that encourage or demand mobility (Farrugia, 2016) for individuals and institutions. It figures in various ‘systems of practice’ (Levitt, 1998, 2001) among families in migrant-sending communities, government and corporations that magnify how migration is the ticket to better life (McKay, 2012) or its glorification as a heroic act (de los Reyes, 2013, 2014). Among the generations of the Martial Law and the EDSA revolutions, therefore, the ‘good life’ is hinged upon departure as professionals (e.g. nurses and engineers), workers in elementary occupations (e.g. construction and domestic workers) or mail-order brides or pen pals. Put simply, the good life in these generations is a function of remittances.

This chapter examines how the contemporary generation of young people construct the ‘good life’ in differential and new terms (de los Reyes, 2023; McKay & Brady, 2005) from previous generations. Using interviews and vision boards of left-behind children (15–18 years old), it argues that left-behind children critically appraise the ‘mobility imperative’. The chapter shows that there is a growing imagination of alternatives to the migration-induced good life among left-behind children, and therefore, they gradually refuse the ‘mobility imperative’. For them, the aspired good life consists of potentially being employees or entrepreneurs in their own villages and living a life with their own families (de los Reyes, 2019, 2020).

The purpose of this paper is to explore the fluidity of the fieldwork roles “insider” and “outsider.” The paper aims to move the discussion of insiders from an a priori categorized status and contribute to the literary insider–outsider debate by unfolding the micro process of how the role of an insider is shaped in situ. Grounded in empirical examples, the paper illustrates how the researcher’s role is shaped through interactions with organizational members and by context.

The paper is based on an ethnographic study in an IT department of a Nordic bank and draws on empirical material generated through a combination of data: shadowing, interviews, observations and documents. Excerpts from fieldnotes are included to invite the reader into “the scenes” played out in the field and are analyzed in order to illustrate the shaping of roles in situ.

The study finds that, independent of the researcher’s role as sponsored by the organization, the interactions with organizational members and context determine whether the researcher is assigned a role as insider or outsider, or even both within the same context.

The paper contributes with a new discussion of how the roles of insiders and outsiders are fluid by discussing the shaping of the roles in situ. By drawing on relational identity theories, the paper illustrates how interactions and context influence the researcher’s role, grounded in empirical examples. In addition, the paper discusses what the assigned roles enable and constrain for the ethnographer in that particular situation.

The purpose of this study is to explore the ideological gaps across a range of policing interactions with the public.

In a survey distributed via Mechanical Turk (MTurk) (n = 979), the authors explore the role that respondents' political ideology plays in the agreement of 13 aspects of policing services, their demeanor and decorum.

Attitudes toward policing interactions are slightly positive. Conservatives steadfastly hold positive attitudes about police. Liberals vacillate from negative to positive attitudes across the 13 policing interaction statements.

Although small, there is an ideological consensus that police adequately protect citizens and are knowledgeable about the law.

Even at record lows of public confidence in the police, some subsections of the sample, such as conservatives, firmly hold positive attitudes about police. The unwavering support for police by conservatives continues across the multi-item measure of policing interactions, whereas liberals illustrated less uniformity in their attitudes.

People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: first, the whole model is not considered when comparing groups, and second, the family-wise error rate is higher than the predefined significance level when the groups are indeed homogenous, leading to incorrect conclusions. Against this background, the purpose of this paper is to present and validate new MGA tests, which are applicable in the context of PLS-PM, and to compare their efficacy to existing approaches.

The authors propose two tests that adopt the squared Euclidean distance and the geodesic distance to compare the model-implied indicator correlation matrix across groups. The authors employ permutation to obtain the corresponding reference distribution to draw statistical inference about group differences. A Monte Carlo simulation provides insights into the sensitivity and specificity of both permutation tests and their performance, in comparison to existing approaches.

Both proposed tests provide a considerable degree of statistical power. However, the test based on the geodesic distance outperforms the test based on the squared Euclidean distance in this regard. Moreover, both proposed tests lead to rejection rates close to the predefined significance level in the case of no group differences. Hence, our proposed tests are more reliable than an uncontrolled repeated comparison approach.

Current guidelines on MGA in the context of PLS-PM should be extended by applying the proposed tests in an early phase of the analysis. Beyond our initial insights, more research is required to assess the performance of the proposed tests in different situations.

This paper contributes to the existing PLS-PM literature by proposing two new tests to assess multigroup differences. For the first time, this allows researchers to statistically compare a whole model across groups by applying a single statistical test.

The authors developed and validated an algorithm using health administrative data to identify patients who are attached or uncertainly attached to a primary care provider (PCP) using patient responses to a survey conducted in Ontario, Canada.

The authors conducted a validation study using as a reference standard respondents to a community-based survey who indicated they did or did not have a PCP. The authors developed and tested health administrative algorithms against this reference standard. The authors calculated the sensitivity, specificity positive predictive value (PPV) and negative predictive value (NPV) on the final patient attachment algorithm. The authors then applied the attachment algorithm to the 2017 Ontario population.

The patient attachment algorithm had an excellent sensitivity (90.5%) and PPV (96.8%), though modest specificity (46.1%) and a low NPV (21.3%). This means that the algorithm assigned survey respondents as being attached to a PCP and when in fact they said they had a PCP, yet a significant proportion of those found to be uncertainly attached had indicated they did have a PCP. In 2017, most people in Ontario, Canada (85.4%) were attached to a PCP but 14.6% were uncertainly attached.

Administrative data for nurse practitioner's encounters and other interprofessional care providers are not currently available. The authors also cannot separately identify primary care visits conducted in walk in clinics using our health administrative data. Finally, the definition of hospital-based healthcare use did not include outpatient specialty care.

Uncertain attachment to a primary health care provider is a recurrent problem that results in inequitable access in health services delivery. Providing annual reports on uncertainly attached patients can help evaluate primary care system changes developed to improve access. This algorithm can be used by health care planners and policy makers to examine the geographic variability and time trends of the uncertainly attached population to inform the development of programs to improve primary care access.

As primary care is an essential component of a person's medical home, identifying regions or high need populations that have higher levels of uncertainly attached patients will help target programs to support their primary care access and needs. Furthermore, this approach will be useful in future research to determine the health impacts of uncertain attachment to primary care, especially in view of a growing body of the literature highlighting the importance of primary care continuity.

This patient attachment algorithm is the first to use existing health administrative data validated with responses from a patient survey. Using patient surveys alone to assess attachment levels is expensive and time consuming to complete. They can also be subject to poor response rates and recall bias. Utilizing existing health administrative data provides more accurate, timely estimates of patient attachment for everyone in the population.

The purpose of this paper is to contribute to a better understanding of the financial decision-making process of farmers and to highlight the potential role that improved farm financial management (FFM) could play in developing sustainable farm enterprises.

This paper adopts a qualitative approach with 27 semi-structured interviews exploring farmers’ financial decision-making processes. Subsequently, the interview findings were presented to a focus group. Sensemaking theory is adopted as a theoretical lens to develop the empirical findings.

The evidence highlights that FFM has a dual role to play in farmer decision-making. Some FFM activities may act as a cue, which triggers a sensebreaking activity, causing the farmer to enter a process of sensemaking whilst some/other FFM activities are drawn upon to provide a sensegiving role in the sensemaking process. The role of FFM in farmer decision-making is strongly influenced by the decision type (strategic or operational) being undertaken and the farm type (dairy, tillage or beef) in operation.

The literature suggests that the majority of farmers spend little time on financial management. However, there are farmers who have quite a high level of engagement in FFM activities, when undertaking strategic farm expansion decisions. Those FFM activities help them to navigate through operational decision-making and to make sense of their strategic decision-making.