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This research aims to understand the primary challenges encountered by entrepreneurs operating in emerging economies, where entrepreneurship plays a vital role. The study places a particular emphasis on entrepreneurs in Brazil.

The research methodology involved the analysis of data obtained from interviews, using both content analysis and Grey Relational Analysis techniques.

The analysis revealed several prominent difficulties that entrepreneurs face in these domains. These challenges encompassed issues such as grappling with intricate taxation systems and the associated tax burden, navigating government bureaucracy, securing access to essential financing and initial investments, contending with the absence of supportive government programs and addressing the dynamic nature of market conditions. The findings on the most critical barriers reveal potential pathways for entrepreneurs, policymakers and universities to act in developing the entrepreneurial ecosystem in emerging economies.

The insights garnered from this research have the potential to inform the formulation of robust public policies aimed at fostering entrepreneurship and innovation in emerging countries. Furthermore, these findings can serve as a valuable resource for planning initiatives designed to train engineers to become successful entrepreneurs.

This study critically analyzes the micro-, meso- and macro-level factors that influence the female academics to engage in academic entrepreneurship (AE). The extant literature, which seeks to understand the female academics engagement in AE mostly revolves around a gender-comparative lens, where women entrepreneurs are understood only in comparison with men. This study examines the association between informal academic entrepreneurship (IAE) and the level of asymmetry between the micro-, meso- and macro-level factors (5M framework). In this study, the author conducted three interviews with female academics in Bangladesh.

Although credit unions are nonprofit organizations, their objectives depend on the efficient management of their resources and credit risk aligned with the principles of the cooperative doctrine. This paper aims to propose the combined use of credit scoring and profit scoring to increase the effectiveness of the loan-granting process in credit unions.

This sample is composed by the data of personal loans transactions of a Brazilian credit union.

The analysis reveals that the use of statistical methods improves significantly the predictability of default when compared to the use of subjective techniques and the superiority of the random forests model in estimating credit scoring and profit scoring when compared to logit and ordinary least squares method (OLS) regression. The study also illustrates how both analyses can be used jointly for more effective decision-making.

Replacing subjective analysis with objective credit analysis using deterministic models will benefit Brazilian credit unions. The credit decision will be based on the input variables and on clear criteria, turning the decision-making process impartial. The joint use of credit scoring and profit scoring allows granting credit for the clients with the highest potential to pay debt obligation and, at the same time, to certify that the transaction profitability meets the goals of the organization: to be sustainable and to provide loans and investment opportunities at attractive rates to members.

This paper aims to investigate the current state of research on sustainability-related manufacturing trade-offs (i.e. giving preference and priority to one dimension over others) that affect suppliers in developed and less developed countries (LDCs). There is growing pressure on suppliers to adopt sustainable practices into their global supply chains. Successfully implementing all three dimensions of the triple bottom line (TBL) imperative can provide organizations with an added capability and potentially result in competitive advantage and a focus on sustainable development goals (SDGs) in the long run. However, designing supply chains for achieving the TBL requires suppliers to recognize and overcome numerous trade-offs.

A systematic literature review comprising 71 papers published between 2004 and 2020 was undertaken using a content analysis approach to identify trade-offs affecting suppliers.

This study firstly identified eight sustainability-related trade-offs affecting suppliers from a TBL perspective in both developed and LDCs, consequently, allowing for a detailed discussion on trade-off factors and conditions unique to both developed and LDCs. Together, these findings enable this study to present initiatives and investment-related decisions for supply chains from a TBL perspective.

In spite of the plethora of studies on sustainable supply chains, there is little research on trade-offs, specifically those affecting sustainability of suppliers operating in LDCs. This paper addresses this critical gap and advances the literature on sustainability-related supply chain trade-offs.

The last two years are characterized by record numbers of initial public offerings (IPOs), foreign investor abstinence and rising retail investor appetite in the Turkish stock market. This study aims to investigate whether retail investor dominance coupled with foreign investor aversion has significant impact on initial and short-term returns.

The research covers the population of 188 companies going public at Borsa Istanbul from 2010 to the end of 2021. Three hypotheses are developed and tested by means of ordinary least squares and Tobit regressions to examine the association between investor allocations and returns. A new measure for retail investor trade size, average retail investment per capita (ARI) is utilized to explain the linkage between retail investor appetite and short-term returns. Two-stage least squares and Heckman selection regressions are employed for robustness tests to address potential endogeneity.

Pandemic IPOs provide significantly larger short-term returns than pre-pandemic IPOs measured up to one month. Underpricing during the pandemic is not significantly greater due to 10% daily price limit, which leads to a gradual release of retail investor appetite and increase in stock prices in the short term. Retail investors control 66% of the market during the pandemic compared to 35% before, while foreign institutional investor market share declines from 53% to 6%. Average retail investor number in an offering increases by 55.4-fold during the pandemic, resulting in substantially smaller allocations to the average individual investor. Greater returns during the pandemic are associated with smaller retail investment per capita, while domestic institutional investment is associated with lower returns as typically expected from institutional investors, although its significance disappears after controlling for potential endogeneity.

This study investigates returns up to one month. To better understand whether short-termism of retail investors and recent foreign investor aversion have detrimental effect on companies, and on the market as a whole, longer-term studies are needed. This is not possible at the current stage since not enough time has passed.

This research is relevant to emerging market investors and companies due to the ongoing foreign investor aversion and fast-changing market conditions. The research cautions market participants against the short-termism of retail investors and urges policymakers to regain investors with longer investment horizons.

Many newcomer retail investors are in the stock market due to lack of more profitable alternatives in Turkey. Although their participation is accompanied by larger short-term returns for the time being, the current momentum is unlikely to last long as the pandemic ends, and interest rates around the world begin to be raised. The study urges small investors to invest in a more informed manner and aim for longer time horizons, as it may not be possible to make a quick profit in the stock markets in the near future.

This is the first study to investigate changing investor profile in emerging markets and its impact on returns following pandemic declaration. The question is important because the investor composition affects the investment horizon in the market.

Avant‐propos sous les auspices de l'Institut international de Coopération intellectuelle, paraissait en 1934 le t. I, consacré à l'Europe, du Guide international des Archives. Le questionnaire envoyé à tous les États européens comportait sous les points 4 et 6 les questions suivantes: ‘Existe‐t‐il un guide général pour les diverses catégories d'Archives ou des guides particuliers pour l'une ou l'autre d'entre elles?’ et ‘Existe‐t‐il des catalogues imprimés, des publications tant officielles que privées, susceptibles de constituer un instrument complet de référence pour tout ou partie importante des fonds d'archives?’ Les réponses des divers pays à ces questions, malgré leur caractère très inégal, ont fait du Guide international un bon instrument d'information générale sur les Archives. Malheureusement les circonstances ont empêché la publication du volume consacré aux États non européens, tandis que le temps qui s'écoulait tendait à rendre périmés les renseignements fournis sur les Archives européennes.

In recent decades the automotive industry has established a variety of new forms of logistics integration between automobile assemblers and their suppliers, in particular those in the first tier. The purpose of this paper is to outline which form of logistics integration original equipment manufacturer (OEM) assembly plants use to link up with proximate suppliers, and to classify and compare different types of logistics supplier integration.

The data and insights for this paper come from a literature review of research and practitioner papers and studies to survey logistics integration models in theory and practice. In addition, data are collected through semi‐structured interviews and site visits.

The main findings are summarised in five conditions which characterise logistics supplier integration in the automotive industry. These conditions vary significantly between local dedicated supply as discussed in this paper and the traditional supply, which is distant and scattered around suppliers. These main conditions are “geographical proximity”, “delivery contents, volume and sequence”, “shared investment and asset specificity”, “information sharing and information technology system integration” as well as “transport system”. Although all of the five conditions were considered relevant for the description of existing integration forms, only the “geographical proximity” dimension is emerged as most suited for a formal typology. Therefore, a seven‐step integration model was developed which allows for a categorisation and comparison of existing logistics integration forms of proximate supply.

This research aims to support the academic study of cross‐company and inter‐organisational supplier integration by providing consistent criteria for cross‐site comparisons. A holistic and consistent understanding of different logistics integration types will be necessary, which will help in evaluating the actual integration forms such as supplier parks.

The majority of studies into the supplier integration phenomenon conclude that logistical concerns are the driving factor behind supplier co‐location. Therefore, the focus of this research is on the spectrum of vertical integration in logistics between the vehicle manufacturers and their suppliers.

Disruptions are appearing more frequently and having an ever greater impact on supply chains (SC), affecting the vulnerability and sustainability of organisations. Our study proposes an innovative approach to address contemporary challenges by introducing coopetition as a strategic capability. The aim of this study is to enable companies to adapt and thrive by applying a tool that measures and monitors different logistical scenarios to improve performance and antifragility.

With the aim of jointly planning transport activities of two competing companies, we present a linear programming model that promotes synergies which enhance resource utilisation. To demonstrate the validity of the model, a case study is conducted to measure, monitor and evaluate the results obtained after collaborating on SC activities.

Current tools to support logistics planning are not effective because they hamper information exchange, cost allocation and performance measurements. Our innovative model optimises collaborative networks (CNs) and monitors economic, environmental and social improvements. The case study shows the reduction of logistics costs (13%), carbon footprint (37%) and the improvement of social antifragility when agility and flexibility emerge.

CNs have become an effective means of enhancing resilience, but there are no empirical contributions to demonstrate how to achieve this. We provide a real case with computational experiments that provide empirical evidence of the effectiveness of the model, which measures, optimises and evaluates SC performance in coopetitive environments. This approach is a guide to researchers and practitioners when creating simulations to reduce risks and facilitate decision-making.

The purpose of this study is to evaluate the microfoundations of student entrepreneurship, a cornerstone of innovation ecosystems. To this end, this paper assesses how perceived university support for entrepreneurship influences entrepreneurial characteristics and intentions in students enrolled at Amazonas and São Paulo State Universities.

A quantitative approach based on multivariate data analysis using confirmatory factor analysis and structural equation modeling was applied to a sample of 420 respondents.

Results indicate that the university environment positively influences entrepreneurial behavior and intention in students. Nonetheless, further integration between academia and external dimensions of the ecosystems is necessary to drive more intense entrepreneurial activity in students. The educational contexts of Amazonas and São Paulo present significant differences in the relationship between entrepreneurial characteristics and entrepreneurial intention with a stronger influence found for Amazonas. This finding suggests a relative lack of propensity of students from São Paulo to engage in entrepreneurial venturing.

The main limitations involve the use of non-probabilistic sampling procedures and students’ heterogeneity in terms of academic seniority.

This research offers guidance for policies targeting the generation of entrepreneurial activity in universities embedded in developing countries’ innovation ecosystems and facing distinct levels of socioeconomic development.

This research presents a novel analysis of the microfoundations driving student entrepreneurship within different educational contexts in a developing country. Results highlight the necessary conditions for universities to foster entrepreneurial activity and, incidentally, feed innovation ecosystems with entrepreneurial talent.

This study investigates the factors influencing monetary donations in Thailand, a developing Buddhist nation. We explore the interplay of demographic, socioeconomic, psychological and social factors on individual donation behavior, focusing on frequency, amount, planning and motivation. Our primary aim is to distinguish pure altruism from the “warm glow” effect and identify the optimal model explaining how donation behavior impacts donor life satisfaction.

A structured, self-administered questionnaire surveyed 450 Thai charitable donors (convenience sample) using logistic regression analysis in SPSS

The study revealed females and those with higher education exhibited stronger altruistic motives, while a warm glow motivated five distinct groups: 1) older, 2) unmarried, 3) those with high external locus of control, 4) reputation-conscious donors and 5) those aware of public health benefits like medical care access. Additionally, pre-planned donations were associated with five factors: 1) debt-free, 2) Buddhist faith, 3) belief in societal improvement through donations, 4) witnessing family members donate and 5) awareness of public health benefits including receiving royal decorations.

This research provides valuable insights for policymakers and charities. By understanding donor motivations, targeted incentives (e.g. emphasizing the “warm glow” effect) can be designed to increase donations and address social issues.

The study suggests tax deduction campaigns may be less effective than expected, as awareness of deductions correlated with lower donation frequency and amount. To incentivize giving, the government should focus on factors most linked to donor satisfaction. This research indicates warm glow is the strongest driver, followed by donation frequency, planning behavior and amount donated.