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This study aims to examine the relationship between medication for opioid use disorder (MOUD) among pregnant individuals, referral source, mental health, political affiliation and substance use policies in all 50 states in the USA.

This study describes MOUD receipt among pregnant people with an opioid use disorder (OUD) in 2018. The authors explored sociodemographic differences in MOUD receipt, referrals and co-occurring mental health disorders. The authors included a comparison of MOUD receipt among states that have varying substance use policies and examined the impact of these policies and the political affiliation on MOUD. The authors used multilevel binary logistic regression to examine effects of individual and state-level characteristics on MOUD.

Among 8,790 pregnant admissions with OUD, the majority who received MOUD occurred in the Northeast region (71.52%), and 14.99% were referred by the criminal justice system (n = 1,318). Of those who were self-referred, 66.39% received MOUD, while only 30.8% of referrals from the criminal justice system received MOUD. Those referred from the criminal justice system or who had a co-occurring mental health disorder were least likely to receive MOUD. The multilevel model showed that while policies were not a significant predictor, a state’s political affiliation was a significant predictor of MOUD.

The study has some methodological limitations; a state-level analysis, even when considering the individual factors, may not provide sufficient description of community-level or other social factors that may influence MOUD receipt. This study adds to the growing literature on the ineffectiveness of prenatal substance use policies designed specifically to increase the use of MOUD. If such policies are consistently assessed as not contributing to substantial increase in MOUD among pregnant women over time, it is imperative to investigate potential mechanisms in these policies that may not facilitate MOUD access the way they are intended to.

Findings from this study aid in understanding the impact that a political affiliation may have on treatment access; states that leaned more Democratic were more likely to have higher rates of MOUD, and this finding can lead to research that focuses on how and why this contributes to greater treatment utilization. This study provides estimates of underutilization at a state level and the mechanisms that act as barriers, which is a stronger assessment of how state-specific policies and practices are performing in addressing prenatal substance use and a necessary step in implementing changes that can improve the links between pregnant women and MOUD.

To the best of the authors’ knowledge, this is the first study to explore individual-level factors that include mental health and referral sources to treatment that lead to MOUD use in the context of state-level policy and political environments. Most studies estimate national-level rates of treatment use only, which can be useful, but what is necessary is to understand what mechanisms are at work that vary by state. This study also found that while substance use policies were designed to increase MOUD for pregnant women, this was not as prominent a predictor as other factors, like mental health, being referred from the criminal justice system, and living in a state with more Democratic-leaning affiliations.

The main objective of this research is to exploratorily analyse different factors that influence the decision of the senior population (+50 years) to engage in entrepreneurship activities in a group of Latin American countries. This study considers the motivations for entrepreneurship (opportunity and necessity) and the level of development of the countries.

The authors used data from the Global Entrepreneurship Monitor (GEM) with a sample of 22,139 observations of senior individuals in seven Latin American countries surveyed between 2013 and 2017. The authors also used the Human Development Index to capture the relevance of the level of development. The authors employed a multilevel logistic regression model to test the study hypotheses.

The study results show that individual factors such as personal income, education and occupation have a significant influence on the probability of entrepreneurship of senior individuals. Related to contextual factors, the level of human development of a country has a negative influence mainly on opportunity-based entrepreneurs.

Because of the rapidly ageing population in Latin America, understanding senior entrepreneurs and their motivations is very relevant not only in terms of theoretical development but also for policy and practical implications, primarily those related to labour markets and social protection.

Prior research treated entrepreneurs’ actions as purely opportunistic and voluntary, excluding social and economic systems’ influence on entrepreneurial actions. However, the applications of communication strategies, project management and social network are anchored in socioeconomic systems in which the entrepreneurs are rooted. To address the gap, this study aims to articulate – through the prism of institutional theory – how restaurant crowdfunding (CF) success is affected by socioeconomic prosperity according to entrepreneurs’ race and geographic area.

The current study analyzed 2,008 restaurant CF projects launched in the USA through the Kickstarter platform from 2010 to 2020. By conducting one-way analysis of variance and multilevel mixed-effect logistic regression models, this study examined the relative socioeconomic prosperity and CF success according to the race of the restaurant entrepreneurs. The study also examined how socioeconomic prosperity affected CF success and how that relationship was moderated by the entrepreneurs’ level of restaurant experience.

This study finds that relative socioeconomic prosperity and CF success does differ according to race. Also in the CF context, lower socioeconomic prosperity does impede fundraising success. While the level of restaurant experience significantly increased an entrepreneur’s CF success, the impact was not so significant as to overcome the impact of socioeconomic prosperity.

Drawing on institutional theory, this study examines the impact of socioeconomic prosperity on CF project outcomes. By uncovering the significant impact of socioeconomic systems on CF success, this study fills the research gap. Previous studies have generally treated minority entrepreneurs as an aggregated form. The authors’ results extend the literature by including major ethnic groups – whites, African Americans and Asians.

The findings of the current study show restaurant entrepreneurs can raise the likelihood of CF success by doing two things: first, accumulate experience in the restaurant industry; second, use their CF websites to highlight testimonials about the value of that experience. Federal, state and local governments can institute policies to help improve racial minorities’ socioeconomic conditions and thereby promote startups’ fundraising success.

To the best of the authors’ knowledge, this study is one of the first to examine unexplored institutional effect on CF outcomes. It examines how and why socioeconomic factors affect minority entrepreneurs’ funding success. It compares the prosperity and CF success of white, African American and Asian entrepreneurs.

The present study examines the risk of citizens encountering police use of intermediate and deadly force, as opposed to using physical force, given a set of individual, situational and neighborhood variables.

The study uses data from 2003 to 2016 in the Dallas Open Data Portal. Two-level multinomial logistic regression is used to analyze the data.

The effects of citizen race differ across the types of police force. Overall, citizen race plays no significant role in the officer's decision to shoot firearms at citizens. However, there is evidence of intra-racial disparity in officer-involved shootings (OISs) between Hispanic citizens and officers. African American citizens are disproportionately exposed to display-but-don't shoot incidents, while Hispanic citizens have a lower risk of encountering police use of intermediate weapons.

The study helps to understand how citizen and officer race influence and interact across various types of police force. Implications of the results are offered in relation to relevant literature.

This paper aims to contribute to the emerging debate on materiality with novel and original insights about the managerial and theoretical implications related to the adoption of the Global Reporting Initiative (GRI) and the Sustainability Accounting Standards Board (SASB) as reporting standards. Furthermore, the paper will evaluate the main drivers that favor the combination of the two standards by companies to develop new knowledge about the hierarchical relationship between financial and sustainability materiality.

Building on a sample of 2,046 US listed companies observed during the period 2017–2020, the research is conducted using quantitative methods. Multinomial logistic regressions are used to evaluate the differences between GRI and SASB’s adoption.

The analysis highlights that financial and sustainability materiality are driven by different purposes. In detail, SASB’s adoption is driven by factors directly related to financial dynamics, while GRI’s adoption is influenced by the existence of corporate governance mechanisms inspired by sustainable and ethical principles. Furthermore, the last analysis reveals that the combination of the two standards is characterized by the predominance of sustainability materiality.

To the best of the authors’ knowledge, this is the first empirical study on the relationship between financial and sustainability materiality.

This study aims to examine the employment practices of family firms in emerging markets. Drawing from the social exchange theory, the authors propose that transgenerational control intention enhances the motivation for family owners to engage in favorable employment practices as inducement for future contribution of employees.

Multilevel regression models were applied to test the hypotheses with a sample of 3033 Chinese private family firms.

The results show that the employment practices of family firms are positively associated with transgenerational control intention, and the effect of transgenerational control intention is contingent on regional social trust.

This study highlights the role of transgenerational control intention of family owners in motivating favorable employment in family firms. The study adds nuance to the variances in employment behaviors of family firms as well as the family owner-employee exchange relationship in emerging markets.

This study aims to investigate the factors influencing the adoption of data analytics in performance management. By examining the role of organizational and environmental contexts, this study contributes to the existing literature by proposing a novel and detailed technology-organization-environment (TOE) model for the complex interplay between firm characteristics and the adoption of data analytics. The results offer valuable insights and practical implications for organizations seeking to leverage data analytics for effective performance management.

The research draws upon a data set encompassing over 21,869 companies operating across all European Union member states. A multilevel logistic regression model was developed to evaluate the influence of organizational and environmental factors on the likelihood of adopting performance analytics in organizations.

The findings indicate that the lack of awareness of the benefits of data analytics and its practical application to address specific business challenges is a significant barrier to its adoption. Organizational contexts, such as variable-pay systems, employee training, hierarchical structures and frequency of monetary rewards, also influence the adoption of data analytics.

The study informs managers about the strategic role of data analytics capabilities in performance management for improved business intelligence and driving data culture.

The study helps managers understand the strategic role of data analytics capabilities in performance management, leading to improved business intelligence and fostering a data-driven culture in five key areas: structural alignment, strategic decision-making, resource allocation, performance improvement and change management.

The study advances the TOE theory, making it a more detailed and complete framework, particularly applicable to the adoption of performance analytics. It identifies the main factors of adoption that play a crucial role in this process.

Paid digital campaigning tools play an increasingly pivotal role in individual election campaigns worldwide. Extant literature often juxtaposes the equalization theory, which argues that these tools create a level playing field, and the normalization theory, which contends that strong and resource-rich politicians benefit most from digital tools. This article aims to inform this debate by looking at it from a campaign expenditure perspective beyond the Anglo-American bias of most research on the subject.

The authors use an original dataset on campaign expenditures and resources of 1,798 candidates running for 13 Belgian parties in the 2019 federal parliamentary election. Relying on multilevel statistical models, the authors link the candidates' digital campaign expenses to their incumbency status, which is expected to affect digital campaigning.

While earlier work on majoritarian cases often showed contradicting results, this study on the Belgian flexible-list proportional representation (PR) case provides strong support for the equalization theory by demonstrating that incumbents are not only less inclined to spend on digital tools than challengers, but also spend a smaller part of their budget on these tools.

This paper contributes to the literature by exploring the equalization versus normalization debate from a campaign expenditure perspective using a made to purpose dataset in a non-Anglo-American context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2021-0679

Using data from 36,981 respondents to the Global Drug Survey (GDS) COVID-19 Special Edition, this study aims to compare changes, following the first “lockdown,” in alcohol consumption between lesbian, gay, bisexual and other sexual minority (LGB+) and heterosexual respondents with and without lifetime mental health and neurodevelopmental (MHND) conditions.

Characteristics and drinking behavior of respondents to GDS who disclosed their sexual orientation and past 30-day alcohol use were described and compared. LGB+ participants with and without MHND conditions were compared, and logistic regression models identified correlates of increased drinking among LGB+ people. The impact of changed drinking on the lives of LGB+ participants with and without MHND conditions was assessed.

LGB+ participants who reported that they were “not coping well at all” with the pandemic had twofold greater odds of reporting increased binge drinking. LGB+ participants with MHND conditions were significantly more likely than those without to report increased drinking frequency (18.7% vs 12.4%), quantity (13.8% vs 8.8%) and that changed drinking had impacted their lives.

This study, which has a uniquely large and international sample, explores aspects of alcohol use not considered in other COVID-19 alcohol use research with LGB+ people; and to the best of the authors’ knowledge, this is the first study to explore alcohol use among LGB+ people with MHND conditions.

The purpose of this study is to make an exploratory analysis of the impact of the entrepreneurial ecosystem (EE) as defined by Acs et al. (2014) on opportunity-driven senior entrepreneurial activity in Latin America.

The research uses data from the Global Entrepreneurship Monitor and the Global Entrepreneurship and Development Institute of five Latin America countries (Argentina, Brazil, Chile, Colombia and Mexico), providing a total of 15,019 observations of people that are 50+ years old, between the years 2013 and 2017. A multi-level logistic regression model was used to estimate the relation between the total entrepreneurial activity by opportunity of seniors and some EE indicators. A total of three equations were estimated on the data set described.

This research confirms the relevance of some elements of EE on senior entrepreneurship in Latin America. Entrepreneurial attitudes have a positive relationship with senior entrepreneurs, generating higher levels of entrepreneurial ventures. The combination of institutions that support these attitudes on the EE enhances senior entrepreneurial activity. It also demonstrates that a higher level of entrepreneurial education at postschool stages is relevant to increasing senior entrepreneurial activity.

This research makes some interesting contributions in the field of measuring the impact of EE on senior entrepreneurship by opportunity in developing countries, filling a literature gap. It allows us to glimpse some measures that policymakers could take to improve the entrepreneurial activity of this segment in the region, such as implementing programs that facilitate networking opportunities and mentorship, along with providing training in business and financial literacy.