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The case study follows Ann’s journey towards entrepreneurship, focusing on the challenges she faced and how early educational interventions influenced her life decisions. Despite numerous obstacles, Ann’s perseverance, bolstered by her family’s support and her passion, led to her successful reintegration into academia and the launch of an entrepreneurial venture in the UK. Her story highlights the dilemma of balancing educational attainment with entrepreneurial aspirations, especially for at-risk students. Ann’s experience prompts critical discussions about the intersection of education and entrepreneurship, the importance of experiential learning and the role of mentorship in realizing business ideas. The nurturing environment of her business school, through guest lectures and real-world success stories, played a significant role in shaping her academic and professional outlook. This case raises essential questions about the role of higher education in fostering entrepreneurial skills and integrating experiential learning within academic curricula. Ann’s journey exemplifies the power of resilience and determination in overcoming systemic and entrepreneurial challenges, particularly for women facing similar struggles. Her story illuminates the multifaceted process of turning a personal experience into an entrepreneurial opportunity, emphasizing the critical role of mentorship and support networks in developing a viable business idea.

This case study is best suited to undergraduate and graduate students enrolled in management and business-related courses that focus on entrepreneurship and entrepreneurial education. The case study is relevant in various business disciplines as it informs students of the process and challenges related to business start-ups and acquiring related capabilities. Instructors are encouraged to have students read the extensive reference list provided at the end to broaden their understanding and knowledge of entrepreneurship, including its processes, context and practices.

This study aims to explore how social status recognition, perceived value and immersive enjoyment drive attachment to influencers and endorsements, thus triggering consumers’ hedonic buying towards influencer endorsements in social media.

By following a purposive sampling strategy and collecting cross-sectional data from 379 valid responses in the UK, this study adopts structural equation modelling, artificial neural networks and fuzzy set qualitative comparative analysis (SEM-ANN-fsQCA) as integrated methods for analysis.

This study reveals that social status recognition, immersive enjoyment, gamified incentives, attachment to influencers and endorsements are critical antecedents that drive hedonic buying.

In knowledge, this study concurrently adopts the perceived value theory and attachment theory that can enrich the inner elements and reveal the underlying connections under the theories. In method, the integrated analytical approach can explore deeper and more convincing results without the limitations of a single approach. In practice, this study helps practitioners ascertain customer perceptions of influencer endorsements and their attachment in the context of buying hedonically, thus developing effective strategies for employing influencers and marketing strategies to foster consumers’ hedonic buying behaviours.

This research paper aims to explore the link between financial innovation (FINV), green finance (GRF) and sustainability performance (SUSP) with the overarching objective of driving sustainable growth. The purpose is to understand how the integration of FINV and GRF can contribute to improved SUSP for businesses and organizations.

The study adopts a survey-based approach, synthesizing existing scholarly works, empirical studies and industry reports. It examines the theoretical foundations and empirical evidence to understand the relationship between FINV, GRF and SUSP.

The findings highlight a positive relationship between GRF and SUSP. GRF acts as a catalyst for FINV by providing the necessary financial resources and incentives for organizations to invest in sustainable technologies and practices. It enables businesses to enhance their SUSP by adopting environmentally friendly processes, reducing carbon emissions and promoting resource efficiency. The integration of FINV and GRF fosters sustainable growth by aligning economic, environmental and social objectives.

This research paper contributes to the existing literature by offering a comprehensive examination of the link between FINV, GRF and SUSP. It consolidates and synthesizes previous studies, providing a holistic view of the topic. The paper also presents practical implications for businesses and policymakers, emphasizing the need for strategic integration of GRF and FINV to drive sustainable growth. The identification of future research directions adds originality to the study, guiding scholars and practitioners toward areas of further investigation.

In the existing era, international trade is boosted by maritime freight movement. The academicians and Government are concerned about environmental contamination caused by maritime goods that transit global growth and development. Digital technologies like blockchain help the maritime freight business to stay competitive in the digital age. This study aims to illuminate blockchain technology (BCT) adoption aspects to alleviate early industry adoption restrictions.

This study adopts a two-stage approach comprising of structural equation modeling (SEM) with artificial neural networks (ANN) to analyze critical factors influencing the adoption of BCT in the sustainable maritime freight industry.

The SEM findings from this study illustrate that social, organizational, technological and infrastructual and institutional factors affect BCT execution. Furthermore, the ANN technique uses the SEM data to determine that sustainability enabled digital freight training (S3), initial investment cost (O5) and trust over digital technology (G1) are the most essential blockchain deployment factors.

The hybrid approach aims to help decision-makers and policymakers examine their organizational blockchain adoption goals to construct sustainable, efficient and effective maritime freight transportation.

Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.

By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.

The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.

While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.

The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.

Understanding young adults’ organic food purchasing behavior in the fresh food e-commerce platforms (FFEP) is crucial for expanding the global environmental product market. The study aims to investigate how specific characteristics of platforms and organic food information impact young adults’ perceived value, leading to their subsequent purchase intention.

Around 535 valid responses were collected through an online survey and then analyzed applying a two-stage structural equation model (SEM) and artificial neural network (ANN) approach.

Results of this research show that platform characteristics (including system quality and evaluation system) and product information characteristics (including organic label, ingredient information and traceability information) significantly affect young adults’ perceived utilitarian and hedonic value. The platform’s service quality has a strong effect on their perceptions of hedonic value, while the delivery system strongly influences their utilitarian value. Moreover, the perceived value, as a crucial mediator, plays a significant role in moderating the influence of platform and product information characteristics on the purchase intentions of young consumers regarding organic food.

Previous research has overlooked the credence attributes of organic food and particularities of online purchasing, focusing instead on general platform and product characteristics. This study addresses this gap by proposing a more appropriate model that integrates the characteristics of both the platform and product information. This offers theoretical and managerial implications for effectively stimulating organic food consumption among young adults in online environments.

Artificial intelligence (AI) is poised to reshape mental health practices, policies and research in the coming decade. Simultaneously, mental health inequalities persist globally, imposing considerable costs on individuals, communities and economies. This study aims to investigate the impact of AI technologies on future citizenship for individuals with mental health challenges (MHCs).

This research used a community-based participatory approach, engaging peer researchers to explore the perspectives of adults with MHCs from a peer-led mental health organisation. This study evaluated potential threats and opportunities presented by AI technologies for future citizenship through a co-created film, depicting a news broadcast set in 2042. Data were gathered via semi-structured interviews and focus groups and were analysed using a reflexive thematic approach.

The analysis identified four key themes: Who holds the power? The divide, What it means to be human, and Having a voice. The findings indicate that adults with living experiences of MHCs are eager to influence the development of AI technologies that affect their lives. Participants emphasised the importance of activism and co-production while expressing concerns about further marginalisation.

This study provides new insights into the intersection of AI, technology and citizenship, highlighting the critical need for inclusive practices in technological advancement. By incorporating the perspectives of individuals with living experiences, this study advocates for participatory approaches in shaping AI technologies in mental health. This includes the co-creation of machine learning algorithms and fostering citizen engagement to ensure that advancements are equitable and empowering for people with MHCs.

The research paper aims to analyse the scholarly literature on advancing HR analytics as an intervention for attrition, a problem that lingers on organisational performance. This study aspires to provide an in-depth literature review and critically assess the knowledge gaps in HR analytics and attritions within organisational performance.

The review analyses the corpus of 196 research articles published in ostensible journals between 2011 and 2023. To identify research gaps and provide valuable insights, this study synthesises relevant studies using School of thought (S), Context (C), Methodology (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) (SCM-TBFO framework). This study employs the R programming language to conduct a systematic literature review in accordance with the “preferred reporting items for systematic reviews and meta-analysis” (PRISMA) guidelines.

The emerging discipline of HR analytics encompasses the potential to manage attrition and drive organisational performance enhancements effectively. The study of SCM-TBFO encompasses a multidimensional approach, incorporating diverse perspectives and analysing its complex aspects compared to various approaches. The School of thought includes the human capital theory, expectancy theory and resource-based view. The varied research contexts entail the USA, United Kingdom, China, France, Italy and India. Further, the methodologies adopted in the studies are artificial neural networking (ANN), regression, structure equation modelling (SEM) case studies and other theoretical studies. HR analytics and attrition triggers are data mining decision systems, forecasting for firm performance and employee satisfaction. The barriers include leadership styles, cultural adaptability and lack of analytic skills, data security and organisational orientation. The facilitators were categorised into data and technology-related facilitators, human resource policies and organisational growth and performance-related facilitators. The study's primary outcomes are technology adoption, effective HR policies, HR strategies, employee satisfaction, career and organisational expansion and growth.

The primary goal of the literature review is to provide a comprehensive overview of the current state of HR analytics and its impact on organisational performance, particularly in relation to attrition. Further, the study suggests that attrition, a critical organisational concern, can be effectively managed by strategically utilising HR analytics and empowering data-driven interventions that optimise performance and enhance overall organisational outcomes.

The study follows platform theory (PT) and information processing theory (IPT) to understand the determinants of customer engagement (CE) on an over-the-top (OTT) platform. Platform-based factors include superior streaming infrastructure (SSI), multilayer analytics (MA), secure monetisation (SM) and convenient navigability (CN), while message-based factors include content diversification (CD), interactive elements (IE) and content localisation (CL). The study further investigates the impact of CE on brand advocacy (BA).

The study employed the quantitative method using the cross-sectional survey to collect the data using judgemental sampling. Data were collected from 650 users of OTT services. Partial least square-structural equation modelling (PLS-SEM) was used to test the hypothesised relationship.

The impact of platform and message-based factors on CE is significant, except for the IE. As per the results, SSI is the most significant platform-based factor of CE, followed by MA, CN and SM. The study also found that CL followed by CD has a substantial influence as a message-based factor for OTT providers. The significant impact of CE is also established on BA, as per the findings of the study.

The outcome of the study is relevant to managers and practitioners in the highly competitive OTT industry. The new research framework emphasises the increasing importance of platform- and message-based factors for CE and BA. The study will also assist OTT providers in guiding strategic and operational decisions in the context of the OTT industry to increase customer loyalty in emerging economies.

The study introduces a novel approach to assessing OTT subscriber engagement by integrating PT and IPT. The final outcome of the research model is BA, which is highly relevant for an OTT operator as it helps retain existing subscribers and attract new ones through BA.

The purpose of this paper is to examine prominent issues and contributions from extant research and explore the literature on the services provided by Knowledge-Intensive Public Organizations (KIPOs) and its pursuit to achieve the United Nations (UN) 2030 Sustainable Development Goals (SDGs) (hereafter referred to as the UN 2030 SDGs agenda) amidst the challenges represented by COVID-19 pandemic. It emphasizes the crucial role of accounting in dealing with techniques and social and moral practices concerned with the sustainable utilization of resources. This paper also provides an overview of the other papers presented in this JPBAFM Special Issue and draws from their findings to scope out future impactful research opportunities in this area.

The design consists of a review and examination of the prior relevant literature and the other papers published in this JPBAFM Special Issue.

The paper identifies and summarizes three key research themes in the extant literature: the growth in the types of KIPO; the rise in the research approaches to study the provision of public services by KIPO in pursuit of the UN 2030 SDG agenda and the consequent call for developments in the accounting field; and unintended consequences during COVID-19 pandemic. It draws upon work within these research themes to set out four broad areas for future impactful research.

The value of this paper rests with collating and synthesizing several important research themes on the nature and unintended consequences of the UN 2030 SDG agenda, and the challenges represented by COVID-19 pandemic in the governance, management and accounting for KIPO and in prompting future extensions of this work through setting out areas for further innovative research within the field.

The research examined in this paper and the future research avenues proposed are highly relevant to the health sector, the judiciary, museums, research centers and the UN. The focus on accounting and accountability towards a broader spectrum of stakeholders calls for new avenues of study in the accounting field. They also offer important insights into matters of management, accounting, accountability, sustainability accounting and control more generally.

The research examined in this paper and the future research avenues proposed are highly relevant to the health sector, the judiciary, museums, universities, research centers and the UN. They also offer important insights into matters of management, accounting, accountability, sustainability accounting and control more generally.

This paper adds to vibrant existing streams of research in the area of KIPO by bringing together authors from different areas of accounting research for this JPBAFM Special Issue. In scoping out an agenda for impactful research approaches used to study the provision of public services by KIPO, this paper also draws attention to underexplored issues pertaining to extents such as the “lived experience” of personnel in the KIPO and envisioning what a future system of governance, management and accounting of SDG might look like.