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Entrepreneurial Ecosystems (EES) is among the fastest growing entrepreneurship research topics. With even greater vigour, the non-scientific world of economic development agencies, administrations and policymakers has adopted the construct and applies it widely “in the field”, often lacking a solid empirical foundation and pursuing sub-optimal approaches. Improving policy instruments for EES development requires a data driven approach to first understand an EES of a specific region before making any attempts to change it. The paper showcases an empirical approach to create empirically rooted EES policy implications, contributing to closing the gap for insight in regional EES data of sub-national regions.

Exploring a mixed method design, utilising quantitative Global Entrepreneurship Monitor data and combining it with EES stakeholder interviews, focusing on dysfunctions, redundancies, power asymmetries and cut off elements as well as in-layer division and public organisation behaviour.

One finding is, that regional economic development agencies (EDA), as a main public instrument to foster regional entrepreneurial activity, seem to bring the potential of a negative impact on Entrepreneurial Ecosystems bottom-up development and the ability to become self-sustained if they assume the role of competitors towards private organisations and businesses.

As other work on EES, the approach used in this paper only sub-optimally covers temporal system dynamics.

This paper contributes to future EES support policies being rooted in an empirical foundation.

This paper not only progresses the empirical basis for research on regional EES but also lays the foundation for specific policy implications for a sub-national level entrepreneurial ecosystem.

This paper aims to examine the European Union (EU) 95/2014 Directive’s impact on large public companies. It chose Italy as a pivotal country that made non-financial information assurance mandatory, going beyond the EU Directive’s original requirements. Specifically, it investigates how the UE Directive fosters institutionalisation of the non-financial reporting (NFR) process in organisations.

Two large public companies in Italy are used as case studies. Data are gathered from annual and integrated reports, institutional websites and semi-structured interviews with the managers and employees involved in different organisational positions. The authors adopted the neo-institutional theory as a theoretical lens to identify the organisations’ response to the (external) institutional pressures influencing corporate reporting practices.

The findings demonstrate how the EU Directive fostered changes to large public companies’ reporting practices and external pressures contributed to influencing changes to internal organisational practices in terms of new internal processes, procedures and structures. These changes are motivated by the companies’ need to guarantee reliable information to be produced in their non-financial reports.

This paper helps academics and policymakers to advance NFR practices by understanding regulatory factors that can foster changes in the internal reporting process and responsibility within organisations.

The findings provide some empirical insights to foster reflections on the EU Directive’s effectiveness in changing reporting practices. This paper contributes to enriching the literature on institutional theory in shaping mandatory non-financial disclosure by identifying the institutional pressures influencing the effectiveness of regulations to change NFR practices.

The purpose of this chapter was to investigate consumer perceptions of retail agglomeration (RA) characteristics in Zagreb region. Perceived RA characteristics were compared between two major types of RA: Planned retail agglomerations (PRA) and Evolved retail agglomerations (ERA).

Data were collected with consumer survey and analyzed using descriptive statistics, exploratory factor analysis and analysis of variance (ANOVA).

Findings indicate that four factors of RA characteristics can be identified: convenience, accessibility, atmosphere, and image. The shoppers’ ratings indicate the strength and weaknesses of RA, and also the dominant position of PRA as compared to evolved RA.

Results show that there were significant differences in shoppers’ perceptions between Planned and evolved RA in Zagreb region. Shoppers evaluated PRA better than ERA on all four factors. Convenience and atmosphere are the best-rated PRA characteristics. Managerial implications are discussed in the study.

The purpose of this paper is to examine security incident response practices of information technology (IT) security practitioners as a diagnostic work process, including the preparation phase, detection, and analysis of anomalies.

The data set consisted of 16 semi‐structured interviews with IT security practitioners from seven organizational types (e.g. academic, government, and private). The interviews were analyzed using qualitative description with constant comparison and inductive analysis of the data to analyze diagnostic work during security incident response.

The analysis shows that security incident response is a highly collaborative activity, which may involve practitioners developing their own tools to perform specific tasks. The results also show that diagnosis during incident response is complicated by practitioners' need to rely on tacit knowledge, as well as usability issues with security tools.

Owing to the nature of semi‐structured interviews, not all participants discussed security incident response at the same level of detail. More data are required to generalize and refine the findings.

The contribution of the work is twofold. First, using empirical data, the paper analyzes and describes the tasks, skills, strategies, and tools that security practitioners use to diagnose security incidents. The findings enhance the research community's understanding of the diagnostic work during security incident response. Second, the paper identifies opportunities for future research directions related to improving security tools.

This case study presents a critical analysis of why and how corporate managers in China are reluctant to adopt sustainability reporting assurance (SRA) provided by externally independent third-party assurers, despite the fact that it is acknowledged as a value-adding activity globally.

A longitudinal fieldwork case study was conducted from 2014 to 2019 in a Chinese central state-owned enterprise (CSOE), a pioneer in sustainability reporting practice since the mid-2000s, to collect first-hand empirical data on managerial perceptions of the adoption of external SRA. Semi-structured interviews with 25 managers involved in sustainability (reporting) practice were conducted. The interview data were triangulated with an analysis of archival documents and board meeting minutes pertaining to the undertakings of sustainability practices in the case study organization.

Our empirical analysis suggests that while managers recognize the benefits of adopting external SRA in enhancing the legitimacy of sustainability accountability, they oppose SRA because of their deep-rooted allegiance to the dominant logic of sociopolitical stability in China. SRA is envisaged to risk the stability of the socialist ideology with which CSOEs are imbued. Therefore, any transformational approach to accepting a novel (foreign) practice must be molded to gain control and autonomy, thereby maintain the hegemony of stability logic. Instead of disregarding external verification, managers of our case SOE appear to harness sustainability reporting as a navigational space to engage in internally crafted alternative manners in order to resist the rationality of SRA.

The empirical analysis presents a nuanced explanation as to why internal managers have hitherto been reluctant to embrace the embedding of independent assurance into the sustainability reporting process. Our prolonged fieldwork provides ample context-specific, intra-organizational evidence regarding the absence of SRA in Chinese CSOEs, which warrants more attention given their considerable presence in the global economy. In addition, the empirical analysis contributes to our understanding of the managerial capture of sustainability issues in a specific context of state capitalism and how organizations and individuals in an authoritarian regime interpret and respond to novel discourses derived from distinct institutional settings.

This study seeks to illuminate the managerial tensions inherent in implementing scaled agile (on the organizational, top management, middle management and team levels) and to frame these challenges within the broader context of project management.

The study adopts a grounded theory approach and delves into a qualitative dataset sourced from 34 interviews with subject matter experts actively engaged in scaling agile initiatives within large organizations spanning various industries. Additionally, the data have been enriched through a comprehensive literature review of the existing body of knowledge on scaling agile.

As a result of our investigation, we propose a framework of managerial tensions in scaling agile in large corporate settings and a series of research propositions and questions that may contribute significantly to the body of knowledge surrounding the phenomenon of “deprojectification” and propose agenda for the future studies in the field of project management.

The study also carries significant managerial implications. Firstly, based on the insights from the practice of scaling agile in large corporate setting, management can build awareness of the challenges inherent of transitioning to agile practices. This may help to anticipate the possible problems and proactively develop strategies how to address them. Secondly, management can be instructed about contingencies inherent in scaling agile, along with the potential disfunctions and side effects (unintended outcomes) that may emerge during the transition process. Thirdly, project management practitioners can gain insights on how scaling agile may cause shifts in the approach to managing projects, project team management and competencies that need to be developed to cope with environments where various approaches to managing projects coexist.

These insights can aid in the agile transition process, beginning with directing managerial attention toward contextual factors and progressing through potential challenges at the organizational, top management, middle management and team levels. Furthermore, the study highlights possible dysfunctionalities and side effects of scaling agile, shedding light on the “dark side” of agile.

The study contributes to the expansion of the empirical database on the implementation of agile practices in large organizational settings. It plays a role in defining and delineating the phenomenon of scaling agile within the context of project management and outlines a research agenda for future project management studies. Additionally, our study adds to the ongoing discourse surrounding the “deprojectification” effect that can occur during the scaling of agile. Lastly, it establishes connections between project management and software development literature regarding the implementation of agile at scale.

This paper examines the impact of extreme rainfall shocks on the performance in test scores of students living near at-risk urban areas in Brazil.

To identify the causal effect, we consider the exogenous variation of rainfall at the municipal level conditioned on the distance from the school to risk areas and the rainfall intensity in the school months.

The results suggest that extreme precipitation shocks, defined as a shock of at least three months of high-intensity rainfall, have an adverse impact on both math and language performance. Through a heterogeneous effects analysis, we find that the impact varies by student gender, with girls being more affected. In addition, among students who study near at-risk areas, those with better previous school performance and higher socioeconomic status are more negatively affected.

Our results suggest that extreme weather events can increase the differences in human capital accumulation between the population living near risk areas and those living more distant from these areas.

The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).

The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.

Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.

There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.

This chapter’s goal is to determine the essence and causal connections of the emergence of conflicts at the level of economic systems (countries) due to technological inequality and to find the perspectives of overcoming these conflicts. The chapter models the economic and political conflict of modern time under the conditions of high-tech development based on the methods of variation analysis and regression analysis. It is proven that the scale of technological inequality in the world economy is very large. It is the economic and political conflict of modern time, the essence of which is as follows: the differentiation of economic systems amid digital development predetermines the opportunities for their entering the world markets. This chapter contributes to the development of the theory of economic and political conflicts, proving the existence of technological inequality as a new form of differentiation of economic systems amid digital development and defining this inequality as a new economic and political conflict of modern time. The chapter also contributes to the development of the theory of international trade, disproving – for the first time – the action of the principle of freedom of international trade. The authors describe technological barriers of the world markets, which limit the presence of countries that are behind the leading countries by digital development. Three key factors that determine the level of technological development of the economy are given: knowledge-intensive employment, venture investments and financing of innovations in business. Due to the above, the chapter provides opportunities for technological conflict management.

Between 1995 and 2012, the wage distribution of male workers in Brazil shifted to the right and became less dispersed. This paper attempts to identify the reasons for that movement in male wage distribution, focusing on the impact of education expansion on wage distribution. The Oaxaca-Blinder (OB) and Recentered Influence Function (RIF) decomposition results show that both changes in returns on skills and upgrades in the composition of work skills contribute to increases in the average wage and wages at the 10th and 50th percentiles. The shifts in returns to skills had a decreasing impact on wages at the 90th percentile and are identified as the primary force reducing wage inequality. Education expansion had an equalizing impact on wage distribution, primarily through the decline in return to education.