Search results

Access to financing has long been identified as a stumbling block for the economic endeavors of immigrant entrepreneurs (IEs) in host countries. Yet, little is known about the internal enablers for the IEs success to overcome their financing barriers in host countries. Accordingly, the purpose of this paper is to introduce the theoretical concept of the financial ambidexterity of IEs as a potential behavioral ability some IEs develop over time to access financing in both host and coethnic contexts.

The paper uses sociopsychological lenses to introduce and discuss the term “financial ambidexterity of IEs” by synthesizing empirical evidence drawn from the different literature on immigrant entrepreneurship, biculturalism, financial literacy and cultural intelligence. This discussion is carefully embedded within the framework of the immigrant entrepreneurship literature.

The study proposes and discusses the role of bicultural identity integration, cultural intelligence and financial literacy in enabling the “financial ambidexterity of IEs.” It further defines the “financial ambidexterity of IEs” as their ability to explore and exploit financing opportunities, either simultaneously across the contexts within which they are embedded, e.g. coethnic and mainstream, or alternately in one context when barriers occur in the other.

The paper mainly contributes to the literature on immigrant entrepreneurship by suggesting an explanation for how IEs overcome financing barriers in their host countries, and why some IEs are more successful in that than other peers. Moreover, the paper attempts to advance the understanding of immigrants' entrepreneurial endeavors using a sociopsychological lens that considers cultural, cognitive and knowledge-related factors.

This article aims to draw a conceptual model that integrates the view from the entrepreneurial event model with entrepreneurial education and prior self-employment experience. The model tests the role of entrepreneurial education on the formation of intentions to become an entrepreneur and examines whether prior self-employed experiences moderate the route from entrepreneurial education, entrepreneurial perceived feasibility (PF) and perceived desirability (PD) into the entrepreneurial intention (EI).

The authors operated on a sample of 389 master's students by applying Cronbach's alpha, exploratory factor analysis, confirmatory factor analysis and structural equation modelling to illustrate the links between constructs.

The study found that entrepreneurial education is positively correlated with PF, PD, and intention to enter entrepreneurial activities. PD is determined as a partial mediator in the entrepreneurial education–intention link and full mediator in PF and EI. Moreover, the study revealed that prior self-employed experiences serve as a positive moderator in the path from entrepreneurial education and PD to EI.

The study offers several recommendations based on research findings so as to nurture and promote entrepreneurial activities among master's students.

The current research provides novel insights about the relationship between entrepreneurial education and intentions to become an entrepreneur over and about the central antecedents in the entrepreneurial event model and moderation effects of prior self-employed experiences.

Social media has been gaining importance in recent years as an integral part of entrepreneurs’ business and marketing strategies. At the same time, the entrepreneurial use of social media can lead to dark and negative consequences. This aspect has received less attention in the literature so far. The purpose of this study is to advice entrepreneurial practitioners to balance the sides of pros and cons as being an inherent reality to acknowledge the full scenario of business life and the interplay of diverse influences.

The qualitative interviews focused on the dark side experiences of micro-entrepreneurs on social media and on strategies to protect their private identities and businesses from those dark side effects. For the theoretical classification of dark side experiences, the framework of Baccarella et al. (2018) was used and adapted based on the experiences reported.

To the best of the authors’ knowledge, the study is one of the first to provide an understanding of the negative experiences micro-entrepreneurs face on social media. The research showed the relevance of five out of the seven dark-side building blocks and identified time as a further influential aspect. Thereby, the authors learn to comprehend the negative sides of social media for micro-operated businesses. The findings highlight the need to understand entrepreneurial social media use with simultaneously negative hazards and economic and social challenges. Addressing the entanglement of the entrepreneurial and private selves of micro-entrepreneurs, the findings demonstrate entrepreneur’s attempts of distancing or cleaning the negativity from their private identities and their businesses.

This paper problematizes dark sides as critical elements in entrepreneurial practice, which are too often neglected when discussing entrepreneurial marketing in general and entrepreneurship in social media specifically. The self is always captured between two sides, including the problematic (“dark”) and the bright.

The introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of products and processes. Current literature indicates three main research gaps, including a lack of studies in QM IoT in the food supply chain, the vagueness of integrative adoption of new technology framework and deficient research covering both adoption attitude and intention in the same model. This study aims to propose an analysis model based on the technological–organizational–environmental (TOE) framework and reinforced by the collaborative structure to capture the importance of the supply chain network.

The partial least square-structural equation modeling (PLS-SEM) was applied to test the impacts of the adoption factors on QM IoT adoption attitude and intention among 197 respondents in food manufacturing in Thailand.

The results indicated that compatibility, trialability, adaptive capacity, innovative capability, executive support, value chain partner pressure, presence of service provider and information sharing significantly impacted the attitude toward QM IoT adoption, while adaptive capability, innovative capability and information sharing directly influenced the QM IoT adoption intention. Furthermore, the attitude toward QM IoT adoption positively impacted the QM IoT adoption intention.

This study contributed to academicians by proposing a more solid adoption framework for QM IoT area. In addition, the business practitioners could actively prepare themselves for the QM IoT adoption, whereas the service providers could provide better and suitable service.

This research contributes to the building of a more solid framework and indicates significant factors that impact the attitude toward QM IoT adoption and adoption intention.

Many mathematical models have been shared to communicate about the COVID-19 outbreak; however, they require advanced mathematical skills. The main purpose of this study is to investigate in which way computational thinking (CT) tools and concepts are helpful to better understand the outbreak, and how the context of disease could be used as a real-world context to promote elementary and middle-grade students' mathematical and computational knowledge and skills.

In this study, the authors used a qualitative research design, specifically content analysis, and analyzed two simulations of basic SIR models designed in a Scratch. The authors examine the extent to which they help with the understanding of the parameters, rates and the effect of variations in control measures in the mathematical models.

This paper investigated the four dimensions of sample simulations: initialization, movements, transmission, recovery process and their connections to school mathematical and computational concepts.

A major limitation is that this study took place during the pandemic and the authors could not collect empirical data.

Teaching mathematical modeling and computer programming is enhanced by elaborating in a specific context. This may serve as a springboard for encouraging students to engage in real-world problems and to promote using their knowledge and skills in making well-informed decisions in future crises.

This research not only sheds light on the way of helping students respond to the challenges of the outbreak but also explores the opportunities it offers to motivate students by showing the value and relevance of CT and mathematics (Albrecht and Karabenick, 2018).

The paper provides a detailed historical account of Douglass C. North's early intellectual contributions and analytical developments in pursuing a Grand Theory for why some countries are rich and others poor.

The author approaches the discussion using a theoretical and historical reconstruction based on published and unpublished materials.

The systematic, continuous and profound attempt to answer the Smithian social coordination problem shaped North's journey from being a young serious Marxist to becoming one of the founders of New Institutional Economics. In the process, he was converted in the early 1950s into a rigid neoclassical economist, being one of the leaders in promoting New Economic History. The success of the cliometric revolution exposed the frailties of the movement itself, namely, the limitations of neoclassical economic theory to explain economic growth and social change. Incorporating transaction costs, the institutional framework in which property rights and contracts are measured, defined and enforced assumes a prominent role in explaining economic performance.

In the early 1970s, North adopted a naive theory of institutions and property rights still grounded in neoclassical assumptions. Institutional and organizational analysis is modeled as a social maximizing efficient equilibrium outcome. However, the increasing tension between the neoclassical theoretical apparatus and its failure to account for contrasting political and institutional structures, diverging economic paths and social change propelled the modification of its assumptions and progressive conceptual innovation. In the later 1970s and early 1980s, North abandoned the efficiency view and gradually became more critical of the objective rationality postulate. In this intellectual movement, North's avant-garde research program contributed significantly to the creation of New Institutional Economics.

In many healthcare systems, health policy has committed to delivering an integrated model of care to address the increasing burden of disease. The interface between primary and secondary care has been identified as a problem area. This paper aims to undertake a scoping review to gain a deeper understanding of the markers of integration across the primary–secondary interface.

A search was conducted of PubMed, SCOPUS, Cochrane Library and the grey literature for papers published in English using the framework described by Arksey and O'Malley. The search process was guided by the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA).

The initial database search identified 112 articles, which were screened by title and abstract. A total of 26 articles were selected for full-text review, after which nine articles were excluded as they were not relevant to the research question or the full text was not available. In total, 17 studies were included in the review. A range of study designs were identified including a systematic review (n = 3), mixed methods study (n = 5), qualitative (n = 6) and quantitative (n = 3). The included studies documented integration across the primary–secondary interface; integration measurement and factors affecting care coordination.

Many studies examine individual aspects of integration. However, this study is unique as it provides a comprehensive overview of the many perspectives and methodological approaches involved with evaluating integration within the primary–secondary care interface and primary care itself. Further research is required to establish valid reliable tools for measurement and implementation.

The literature mainly concentrates on the relationships between externally oriented digital transformation (ExtDT), big data analytics capability (BDAC) and business model innovation (BMI) from an intra-organizational perspective. However, it is acknowledged that the external environment shapes the firm's strategy and affects innovation outcomes. Embracing an external environment perspective, the authors aim to fill this gap. The authors develop and test a moderated mediation model linking ExtDT to BMI. Drawing on the dynamic capabilities view, the authors' model posits that the effect of ExtDT on BMI is mediated by BDAC, while environmental hostility (EH) moderates these relationships.

The authors adopt a quantitative approach based on bootstrapped partial least square-path modeling (PLS-PM) to analyze a sample of 200 Italian data-driven SMEs.

The results highlight that ExtDT and BDAC positively affect BMI. The findings also indicate that ExtDT is an antecedent of BMI that is less disruptive than BDAC. The authors also obtain that ExtDT solely does not lead to BDAC. Interestingly, the effect of BDAC on BMI increases when EH moderates the relationship.

Analyzing the relationships between ExtDT, BDAC and BMI from an external environment perspective is an underexplored area of research. The authors contribute to this topic by evaluating how EH interacts with ExtDT and BDAC toward BMI.

This paper aims to examine the effects of socio-emotional wealth importance (SEWi) in family firms and family firm-specific HR practices, namely professionalization and bifurcation bias, on their entrepreneurial orientation (EO).

The paper surveyed 133 small and medium-sized family firms in the USA. The respondents were recruited through Prolific Academic.

When SEWi is low, a family firm becomes more similar to a non-family firm, thereby enjoying the benefits associated with EO. When SEWi is high, a family firm leverages the unique resources and capabilities specific to family firms. Moderate SEWi levels are associated with lower EO levels. Additionally, the results support the argument that professionalization (involving non-family managers, formalization and decentralization) fosters EO, while bifurcation bias hinders its development.

Unlike previous studies, this paper posits a non-linear, U-shaped relationship between SEWi and EO. It contributes to the field by empirically investigating the effects of professionalization and bifurcation bias on EO in family firms.

The purpose of this research is to evaluate the extent to which credibility of news sources and fact-checkers individually and jointly influence online users' beliefs and intended behaviors regarding online misinformation. The broader goal is to understand why fact-checking seems to have inconsistent effects on the beliefs and behavioral intentions about disinformation. 10;

An online experiment was conducted in a public health (COVID-19) context with 429 validated participants to test three hypotheses linking the main and interaction effects of two independent variables (news source credibility and fact-checker credibility) on three dependent variables (users' believability, reading intention and sharing intention of online news claims). The data was analyzed using multilevel (fixed effects) models controlling for individual differences, claim differences and order effects.

The author observed a nuanced pattern of effects; news source credibility had a positive main effect on believability but negative effects on reading and sharing intention; fact-checking credibility had a positive main effect on believability, but no effects on reading or sharing intentions, but negatively moderated the effects of source credibility on all three dependent variables.

This paper introduces, conceptualizes and tests whether a more credible fact-checker shapes the beliefs and intentions about online misinformation differently from less credible fact-checkers, especially when examined concurrently with similar effects of the original sources of misinformation claims. Additionally, it suggests that, on average, users have a low perception of credibility for fact-checkers (even reputed ones), which may explain why fact-checking is often ineffective in shaping the beliefs and intended behaviors.