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We argue that the information flow on Twitter is largely driven by elite communication with a top-down flow, while Facebook’s bottom-up flow is driven by mass public communication. Both are crucial news sources for democratic processes in Latin America. We explore how exposure to these flows affects opinions on democracy across 18 countries with varying democratic conditions.

Using mixed-effects models, our analysis draws on survey data from the 2018 Latinobarómetro paired with democracy measures from the 2018 Varieties of Democracy.

The results indicate that Facebook’s bottom-up communication correlates with negative perceptions of democracy, whereas Twitter’s top-down model correlates with more favorable views, especially among mass consumers. However, these differences are inconsistent across demographic factors.

Cross-sectional survey data limits causal claims. Longitudinal data could provide stronger insights into the mechanisms underlying the observed relationships.

Understanding how different platforms influence democratic attitudes can inform strategies for political communication and digital governance in Latin America. Policymakers should consider platform-specific interventions to promote democratic engagement.

This study adds to the limited research on platform differences in political public opinion, particularly in Latin America, and highlights the need to explore mechanisms of change across various social media platforms.

The construction industry faces public criticism for issues like wastefulness, inefficiency, slim profits, scheduling setbacks, budget overruns, quality concerns, trust deficits, transparency, coordination, communication and fraud. This paper aims to assess the nexus between barriers and drivers for adopting blockchain in construction and its impact on construction lifecycle.

A quantitative research approach was used to collect data using a well-structured questionnaire survey. The survey, which used snowball sampling, included 155 Nigerian construction experts that included architects, builders, quantity surveyors and engineers in the built environment. The data were analysed using partial least squares structural equation modelling (PLS-SEM), which allowed for a thorough evaluation of the proposed relationships as well as industry-specific insights.

The study's findings validate the conceptual framework established. The results indicate that implementing blockchain across all stages of construction projects has the potential to improve the construction process by 88.2% through its drivers. However, there were no significant relationships found between the barriers to adopting blockchain and the potential application areas in the construction lifecycle.

This research was carried out in the South-western which is one of the six geo-political zones/regions in Nigeria, using a cross-sectional survey method. The study did not investigate the interdependence of the identified categories of drivers and barriers, limiting a comprehensive understanding of the complex dynamics and interactions influencing blockchain adoption in construction. The study is expected to stimulate further exploration and generate new insights on how blockchain technology (BT) can influence various stages of the construction lifecycle.

The findings will be immensely beneficial to both professionals and practitioners in the Nigerian construction industry in learning about the potential of BT application in improving the construction lifecycle.

This paper developed and assessed a conceptual framework by investigating the interrelationships between the constructs. The findings have important implications for the construction industry, as they offer opportunities to improve the construction process and overall lifecycle. The findings are useful for researchers interested in the potential impact of BT on the construction lifecycle and its wider implications.

This paper examines the relationship between the adoption of accrual-based IPSAS and the level of perceived corruption of Latin-American countries, considering the moderating effect of the country’s institutional quality.

The study adopted a longitudinal analysis of 19 countries, between 2010 and 2020, following a quantitative approach by using multiple linear regression with panel data.

Main findings indicate that the harmonization of public sector accounting through the adoption of IPSAS generates a positive effect on the corruption level in Latin-American countries, causing a reduction in their indexes of perception of corruption. The countries’ institutional context, as hypothesized, increases such effect, making it even more significant in the cases of partial adoption.

To improve accountability and decision-making in public sector entities overall, contributing to reduce corruption, IPSAS adoption requires an institutional environment favorable to take the best of their benefits.

The adoption of IPSAS in an environment with a high institutional quality, allows a greater effect in reducing corruption in the jurisdiction.

This study contributes by providing a comprehensive view of IPSAS and its impact on perceived corruption levels, expanding the existing research to Latin America, where corruption is generally high and IPSAS may contribute to reduce it. It makes an important addition by defining and considering an index of the country’s institutional quality, providing evidence that when this is high, the context enhances the work of institutions, including IPSAS, to fight corruption.

The architecture, engineering and construction (AEC) industry is currently undergoing a paradigm shift as it integrates innovations such as digital twins (DT) in its activities. As a result, this study aims to ascertain the barriers affecting the implementation of digital twin (DT) technology in Nigeria’s AEC sector.

The study employed a quantitative approach using a questionnaire distributed via Google Forms, yielding 120 valid responses from built environment professionals in Nigeria. The data were subjected to statistical tests such as the Kolmogorov–Smirnov test, Cronbach’s alpha, descriptive statistics and the Kruskal–Wallis test. Hypotheses were validated through partial least squares structural equation modelling (PLS-SEM).

The study revealed that out of the 43 identified barriers, inadequate system integration, challenges in guaranteeing interoperability, university education on the subject is deficient, and new system compatibility with legacy systems are the main barriers to implementing DT for sustainable construction practices in the AEC Industry of Nigeria.

The study was conducted in Nigeria with a focus on the Federal Capital Territory. The study identified the barriers of DT in the construction sector.

This study developed and assessed a theoretical framework, examining the relationships between variables. The findings have important implications for the construction industry, offering opportunities to improve construction processes. Furthermore, the study will help improve sustainable practices within the built environment.

The study categorised the barriers of DT into the following: system integration; security-related; performance-related; organizational-related; data quality issues and environmental related issues.

The United States experienced its own damaging attempt at secession between 1861 and 1865, and one would expect the US Government to condemn all secession attempts at home and abroad. This paper examines four cases of secession in sub-Saharan Africa and the US policy toward those independence movements: Katanga, Biafra, Eritrea, and South Sudan. The finding is that the American Government's policy toward fragmentation in other countries has surprisingly not been characterized by a condemnation of the secessionist movements. The US response has most often been tacit support or reluctant opposition to nascent independence movements, which always stopped short of full diplomatic recognition prior to 1991. Anticommunism also played a role in US foreign policy decisions regarding secession abroad during the Cold War but did not lead in any case examined to open political or military intervention.

Using surveys of Amazon and Tmall Global users, this paper aims to empirically investigate the issue of platform technological selection. We explore the impact of switching costs on users’ intentions to use an app-enabled cross-border e-commerce (CBEC) platform based on an extended technology acceptance model (TAM). The results suggest that the higher the switching cost of a platform is, the greater the users’ satisfaction and intention to use this platform. Therefore, for the platform, a moderate switching cost will be beneficial for retaining users.

Based on the TAM, this paper takes the switching costs as the starting point and focuses on exploring the relationships among switching costs, perceived usefulness, perceived ease of use, perceived reliability, satisfaction and intention to use. Online surveys of users of Amazon and Tmall Global are adopted as the main instruments of this research. We collected a total of 408 valid responses from Amazon users and 490 from Tmall Global users. For the data analysis, this study conducts frequency analysis, a test analysis of the reliability and validity of the measures, correlation analysis, and path analysis using a structural equation model.

The results show that switching costs positively affect the users’ satisfaction and intentions to use a CBEC platform through perceived usefulness, perceived ease of use and perceived reliability.

The questionnaire respondents were predominantly Chinese due to the constraints of the survey conditions. In fact, China has a high penetration rate in CBEC, and Chinese users have rich experience using the Amazon and Tmall Global platforms.

The development of CBEC has ups and downs, and users frequently switch platforms. Considering how platforms can stand out from the crowd and retain users, we believe that a moderate increase in the switching cost of the platform is helpful for companies to address these problems, and the implications of the results are particularly valid for decision-makers of CBEC platforms and companies.

Amazon and Tmall Global are the two largest CBEC platforms in the world. Using these two companies as examples for comparison can effectively identify the differences between the platforms and the conclusions are representative. We suggest that platforms can improve user satisfaction and willingness to use by establishing VIP communities, issuing coupons, providing shipping services as well as convenient after-sale complaint channels, and improving the platform’s easy-to-use interface, as ways to further enable the platform to retain more users and stand out in fierce competition.

This paper addresses an interesting and practical issue related to the effects of introducing switching costs in an extended TAM applied to CBEC platforms.

The paper investigates factors that contribute to small and medium enterprises (SMEs) surviving major exogenous shocks. Global crises such as the coronavirus disease 2019 (COVID-19) have increasingly heightened scholarly interest in post-crises responses. However, studies that compare the relative responses to external shocks and the outcomes for SMEs operating in different institutional settings are limited. We examine the relative degrees of success European and African SMEs experienced in avoiding the worst consequences of the COVID-19 pandemic.

We use the resource dependency theory (RDT) with variants of institutional theory since the RDT has been shown in practice to have greater explanatory power when used in this way. We augment our framework with a feminist theory dimension. To test our hypotheses, we apply regression analyses using cross-sectional data from the World Bank Enterprise Surveys (WBES), which include responses from private enterprises in 26 European and eight African countries. We construct our data by combining the COVID-19 follow-up surveys with relevant firm-specific characteristics from the WBES conducted in 2020–2021 using firm-specific unique IDs. After removing the firms with missing observations, the sample number of SMEs is 15,178.

Our empirical findings support the theoretically posited positive effects of innovativeness, institutional connectedness and governance capability on SMEs’ survival in the face of external shocks. Further, we confirm the importance of firm-specific characteristics (financial status, size and age) for SMEs’ survival. Female-owned SMEs are more likely to suffer during COVID-19, especially in Africa. The results are more nuanced when we consider industry specificity and heterogeneity of government support.

Our article helps answer the theoretical (and policy-relevant) question of whether SMEs that are resilient to major exogenous shocks may share certain characteristics despite operating in different institutional environments. If that is so, then it may be that lessons from one continent may have at least some relevance for the other. Our approach’s broad value lies in its capacity to test the degree to which established bodies of theory developed in the Northern Hemisphere may be deployed in Africa, well beyond the contexts which provided their initial empirical basis. This paper also contributes to the literature on the effect of environmental-change shocks on entrepreneurship performance outcomes.

Leadership development programs (LDPs) have emerged relatively recently in the healthcare context as a mechanism not only to develop capable and competent leaders but also to retain them. The purpose of this paper is to describe a perspective on practice by illustrating a case example that showcases a pilot LDP for newly promoted healthcare leaders. The details about how it was developed and implemented collaboratively by a healthcare consortium and higher education institution (HEI) to address shared healthcare leadership talent pipeline and retention challenges are provided.

This perspective on practice describes how a consortium of competitive healthcare organizations, a type of branded Inter-organizational Relationship referred to as “Coopetition,” contracted with a HEI to design, develop and launch a pilot LDP, referred to as the Academy for Healthcare Education and Development program, using the analyze, design, develop, implement and evaluate model.

The significance of this illustrative case example is discussed along with some initial lessons learned based upon this pilot LDP that 24 program participants completed. Implications for research, theory and practice are presented, followed by limitations and a conclusion.

Inter-organizational relationships, particularly coopetition, are relatively new in the healthcare sector, along with collaboration with HEIs to develop interventions to solve compelling industry problems. This illustrative case example offers insights that address scholars’ calls and practitioners’ needs to explicate different approaches for LDPs to build the healthcare leadership talent pipeline.

The purpose of this study is to examine the impact of sustainable supply chain management (SSCM) practices on both competitive advantage (CA) and organizational performance (OP) in the manufacturing sector in Ethiopia.

Data for the study were collected from a sample of 221 manufacturing companies operating in the four manufacturing groups/sectors in Ethiopia. In addition, data analysis was performed using the partial least squares method, which is a variance-based Structural Equation Modeling approach in the Smart-PLS software version (SmartPLS 4.0).

Based on the statistical analysis of the collected data, it demonstrates that SSCM has a significant and positive impact on both competitive advantage and organizational performance. Furthermore, statistical findings offer proof of the clear connection between competitive advantage and organizational performance. Moreover, competitive advantage indirectly mediates the relationship between SSCM and OP.

The primary limitation of this research is its reliance on a cross-sectional design. The generalizability of the findings obtained from the present study may be hindered. The variable under investigation in this research assessed organizational performance, a concept that is widely acknowledged to be extremely dynamic.

The study provides managers and researchers with valuable information on Sustainable Supply Chain Management strategies and how they influence competitive advantage and organizational performance in commercial and industrial environments.

This paper adds to the body of knowledge by providing new data and empirical insights into the relationship between SSCM practices and the performance of manufacturing companies in Ethiopia.