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Over the past 20 years, entrepreneurial ecosystems (EEs) have emerged as a significant research field, inspiring several scholars to provide valuable contributions. The chapter aims to map the current state of literature by highlighting the most prominent research strands and the main theoretical lenses employed in the research field. By carrying out a systematic literature review and bibliometric analysis, the study examines articles published over a period of 27 years. The time frame from 1996 to 2023 offers an extensive outlook of the field’s evolution and current trends, resulting in the identification of five research strands and different future research avenues. From the analysis of prior research works, this study provides an in-depth examination of the complex nature of EEs. The results hold theoretical and practical implications. From the scholars’ point of view, they offer future research directions to move the current level of knowledge forward. From the entrepreneurs’ perspective, they provide valuable insights to address ongoing challenges and catch new opportunities within the dynamic panorama of EEs. Therefore, the insights are poised to drive future research, inform policymakers, and enhance business strategies aimed at fostering resilient EEs. In other words, the purpose is to provide readers with a well-rounded understanding over the state of the literature on EEs and the research strands that deserve further exploration.

This study investigates the influence of corporate culture on financial reporting transparency within Iranian firms.

Leveraging a dataset of 1,480 firm-year observations from the Tehran Stock Exchange spanning from 2013 to 2022, the study employs text mining to quantify linguistic features of corporate culture and transparency, specifically readability and tone, within annual financial statements and Management Discussion and Analysis (MD&A) reports.

Our results confirm a positive and significant relationship between corporate culture and financial reporting transparency. The distinct dimensions of corporate culture — Creativity, Competition, Control, and Collaboration — each uniquely enhance financial transparency. Robustness tests including firm fixed-effects, entropy balancing, Generalized Method of Moments (GMM), and Propensity Score Matching (PSM) validate the profound influence of corporate culture on transparency. Additionally, our analysis shows that corporate culture significantly affects the disclosure of business, operational, and financial risks, with varying impacts across risk categories. Cross-sectional analysis further reveals how the impact of corporate culture on transparency varies significantly across different industries and firm sizes.

The study’s scope, while focused on Iran, opens avenues for comparative research in different cultural and regulatory environments. Its reliance on text mining could be complemented by qualitative methods to capture more nuanced linguistic subtleties.

Findings underscore the strategic importance of cultivating a transparent corporate culture for enhancing financial reporting practices and stakeholder trust, particularly in emerging economies with similar dynamics to Iran.

This research is pioneering in its quantitative analysis of the textual features of corporate culture and its impact on transparency within Iranian corporate reports, integrating foundational theoretical perspectives with empirical evidence.

The aim of this paper is to evaluate empirically the impact of oil price fluctuations on the relationship between banking sector development and economic growth in oil-importing MENA countries.

The study used the newly developed panel autoregressive distributed lagged (ARDL) approach in order to address any potential endogeneity between research variables.

The empirical results show a unidirectional causality in the long run from oil price to both economic growth and banking sector development for oil-importing countries. Also, banking sector development not only leads directly to economic growth but also can play a moderator role in the oil price—economic growth nexus.

The study has two principal limitations. On the one hand, this study was conducted in a relatively limited sample of countries. On the other hand, the study did not consider others indicators for banking sector development and others macroeconomic variables.

The results found have imperative implications for banks' managers, regulators and researchers. Bank managers should be more concerned with the negative repercussions of oil price fluctuations on the development of their banks. The regulatory authorities must emphasize policies and strategies to further strengthen their banking sector in order to alleviate the negative influence of oil price shocks on economic growth. Researchers focused on finance-growth nexus must take into account the potential influence of oil price shocks.

The developed conceptual model allows examining to what extent the oil price fluctuations might affect the relationship between economic growth and banking sector development. This effect is neither evaluated nor clarified in the relevant literature.

This book chapter focuses on The Hands-On Gastronomic Tourist. Hands-on in this context means active involvement of tourists in local food- and beverage-related activities when they travel. The chapter illuminates who these tourists are and elucidates how and why they crave hands-on, immersive, authentic, local food or drink activities, or experiences (beyond eating a meal) when they travel locally, regionally, nationally, and internationally. It provides examples, data, and models that explain what these tourists value and desire as well as why they are influential within the tourism industry. By understanding the characteristics and practices of this fast-growing tourist sector, hosts of food/beverage businesses, local community developers, and related stakeholders will know the minimal elements that must be in place if their businesses and communities are to succeed in creating and supporting sustainable gastronomic tourism initiatives that have the potential to elevate a geographic area to a recognised international gastronomic destination status. This chapter explains why co-marketing and ultimately delivering co-branded promises from like-minded businesses that attract these hands-on food tourists is critical to the economic sustainability of one of the fastest growing tourism sectors.

Autonomous vehicles (AVs) have the potential to transform the infrastructure, mobility and social well-being paradigms in New Zealand (NZ) amid its unprecedented population and road safety challenges. But, public acceptance, co-evolution of regulations and AV technology based on interpersonal and institutional trust perspectives pose significant challenges. Previous theories and models need to be more comprehensive to address trust influencing autonomous driving (AD) factors in natural settings. Therefore, this study aims to find key AD factors corresponding to the chain of human-machine interaction (HMI) events happening in real time and formulate a guiding framework for the successful deployment of AVs in NZ.

This study utilized a comprehensive literature review complemented by an AV users’ study with 15 participants. AV driving sprints were conducted on low, medium and high-density roads in Auckland, followed by 15 ideation workshops to gather data about the users’ observations, feelings and attitudes towards the AVs during HMI.

This research study determined nine essential trust-influencing AD determinants in HMI and legal readiness domains. These AD determinants were analyzed, corresponding to eight AV events in three phases. Subsequently, a guiding framework was developed based on these factors, i.e. human-machine interaction autonomous driving events relationship identification framework (HMI-ADERIF) for the deployment of AVs in New Zealand.

This study was conducted only in specific Auckland areas.

This study is significant for advanced design research and provides valuable insights, guidelines and deployment pathways for designers, practitioners and regulators when developing HMI Systems for AD vehicles.

This study is the first-ever AV user study in New Zealand in live traffic conditions. This user study also claimed its novelty due to AV trials in congested and fast-moving traffic on the four-lane motorway in New Zealand. Previously, none of the studies conducted AV user study on SUV BMW vehicle and motorway in real-time traffic conditions; all operations were completely autonomous without any input from the driver. Thus, it explored the essential autonomous driving (AD) trust influencing variables in human factors and legal readiness domains. This research is also unique in identifying critical AD determinants that affect the user trust, acceptance and adoption of AVs in New Zealand by bridging the socio-technical gap with futuristic research insights.

This study aims to systematically review the literature on how various factors influence investor sentiment and affect financial markets. This study also sought to present an overview of explored contexts and research foci, identifying gaps in the literature and setting an agenda for future research.

The systematic literature investigation yielded 555 journal articles, with few other exceptional inclusions. The data have been extracted from the two databases, i.e. Scopus and Web of Science. For bibliometric analysis, VOSviewer and Biblioshiny by R have been used. The period of investigation is from 1985 to July 2023.

This systematic literature review helped us identify factors influencing investor sentiment and financial markets. This study has broadly classified these factors into two categories: rational and irrational. Rational factors include – economics and monetary policy, exchange rate, interest rates, inflation, government mandatory regulations, earning announcements, stock-split, dividend decisions, audit quality, environmental, social and governance aspects and ratings. Irrational factors include – behavioural and psychological factors, social media and online talk, news and entertainment, geopolitical and war events, calendar anomalies, environmental, natural disasters, religious events and festivals, irrationality caused due to government/supervisory body regulations, and corporate events. Using these factors, this study has developed an investor sentiment model. In addition, this review identified research trends, methodology, data and techniques used by researchers.

This review comprehensively explains how various factors affect investor sentiment and the stock market using the investor sentiment model. It further proposes an extensive future research agenda. This study has implications for stock market participants.

The purpose of this study to explore the teacher’s perception about family aggression and domestic abuse that can cause students psychotic trauma. Also, this article will further highlight the mitigating strategies for teachers to overcome those challenges which they faced while dealing with such female students.

In this exploratory study, a qualitative data collection tool semi-structured interviews were used. This research interviews were conducted from public school teachers of Pakistan. For data analysis thematic analysis approach was used to answer the targeted research questions.

The findings of the study reveal that the family aggression and domestic abuse have severe negative effect on female students’ mental health which cause them trauma and also negatively impact of their educational progress and overall growth. Also, several challenges have been identified from the findings such as difficulty in identification of such female students, lack of support and counselling skills and social constraints. Similarly, this study also suggests some interventional and mitigating strategies to overcome these challenges faced by teachers such as, awareness sessions for parents and society, teachers training for such skills, including such contents in curriculum etc.

The results of the current study are beneficial for the teacher and school administration to handle such female students they are affected due to abuse and domestic violence and improve their mental well-being and growth.

This is a unique study because there is very limited research done in the context of Pakistan which addresses this burning social issue, particularly adding the voices of teacher’s about identifying and dealing such female students they are victim of family aggression and domestic abuse.

This paper considers the implications of not knowing – hypocognition – the lack of a cognitive or linguistic representation of a concept, algorithms, held by librarians responsible for programs of information literacy in universities in NSW, Australia.

A practice-based study of university librarians and their role in the development of algorithmic literacy, using semi-structured interviews and thematic analysis, showed that they had limited socio-technical knowledge of algorithms.

Not knowing led most participants to anthropomorphise algorithms, including those found in search engines such as Google, sometimes explaining them as something mysterious, although they were aware that the algorithms were gathering data about them and their online interactions. Nonetheless, they delegated responsibility for online activities. These online interactions were not presented in system terms, but often could be interpreted as examples of Goffman’s civil inattention, a social norm used in interactions with strangers, such as fellow passengers. Such an understanding prevented the development of robust algorithmic literacy.

With technologies disrupting social norms, algorithms cannot be considered strangers who understand such civility; instead, metaphorically and practically, they rudely rummage through wallets and phones. Acknowledging the implications of the reliance on socio-cultural understandings of algorithms and their anthropomorphic representations for explaining online system-based interactions can present new ways for developing algorithmic literacy.

This study suggests that the links between hypocognition and the anthropomorphising of algorithms can undermine the development of knowledge and skills in information and digital literacies.

While extensive research exists on how positive life circumstances and positive personality traits promote entrepreneurship, there is little research focusing on how negative personal circumstances may potentially breed entrepreneurship. This study aims to build upon the theory of underdog entrepreneurship to examine the effect of challenging life circumstances such as poverty on the development of entrepreneurial traits in underdog entrepreneurs. This research analyzed the effect of risk-taking (RT) on the entrepreneurial success (ES) of underdog entrepreneurs and the role of optimism (OPM) and persistence (P) as mediating variables and poverty as a moderator variable.

A cross-sectional survey was conducted to collect data from 400 micro-finance borrowers of Akhuwat Foundation Pakistan. Akhuwat provides interest-free small loans to the poor segment of society. Preliminary testing of the survey questionnaire with a sample of 35 borrowers of Akhuwat Foundation in Lahore city was conducted before data collection. Data was collected from four randomly selected branches in Lahore city.

The authors found that OPM and P significantly mediate the relationship between RT and ES. In addition, the authors analyzed the moderating effect of poverty on the relationship between OPM and ES and found a negative moderating effect. A strong positive moderating effect of poverty was found on the relationship between P and ES. The results of multi-group analysis show that successful and unsuccessful underdog entrepreneurs differ in their RT propensity, which is significantly mediated by OPM and P.

This study provides empirical evidence on entrepreneurial traits and success of poor entrepreneur in an emerging economy. This work is original and has not been submitted elsewhere.

Despite increasing awareness among fashion consumers about the positive environmental and societal impacts of sustainable fashion as a viable alternative to fast fashion, their actual adoption behavior often diverges. This study aims to empirically investigate consumers’ resistance barriers to sustainable fashion clothing.

This study utilizes innovation resistance theory to examine the barriers to consumer intention to buy sustainable clothing. The study collected a large sample (N = 745) of fashion consumers from the USA and India to test a research model.

The study finds that value, social risk, tradition and image barriers significantly reduce consumers’ intentions to buy sustainable fashion clothing. Additionally, the findings highlight that environmental concern moderates the relationship between social risk barriers and buying intentions.

The study findings contribute to the existing sustainable fashion literature by highlighting the main barriers for sustainable clothing consumption and emphasizing the crucial role of social elements, economic values and the image of sustainable fashion products in shaping consumer behavior within the fashion landscape.