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New trends in global trade including rise in services, global value chains, and the digital economy are opening up important economic opportunities for women. Trade has the potential to expand women's role in the economy, decrease inequality, and expand women's access to skills and education. Trade can dramatically improve women's lives, creating new jobs, enhancing consumer choice, and increasing women's bargaining power in society. In Bangladesh economy, the women led micro, small, and medium enterprises (MSMEs) play a noteworthy role by providing services and goods, creating employment generation particularly for women (UN Women, 2020). According to an ILO report, the majority of female-owned SMEs in Bangladesh are involved in the trading sector, followed by the manufacturing and service sectors (Fatima, 2023). This chapter is based on the case studies on 50 women entrepreneurs in various levels in Bangladesh and 10 key informant interviews of government officials, business associations, academics, researcher, microcredit organizations. This is encouraging that due to government's women friendly policies and organizational supports along with better networking through social media in Bangladesh, more and more women of various backgrounds in Bangladesh are coming to business though still concentrated on few traditional areas but they are making space for themselves and creating employment for poorest segment of women and educated young women.

The goal of this article is two-fold. The first is to contribute new insights to inform education policies for addressing the underlying educational inequalities and injustices that are caused by lack of epistemic access in the context of Fiji higher education. The second is to explore how the Grounded Theory Methodology can be applied to longitudinal language testing research that seeks to reverse epistemic injustices and educational inequalities in Fiji and other comparable multilingual countries.

To explore how the Grounded Theory Methodology can be applied to longitudinal language testing research that seeks to reverse epistemic injustices and educational inequalities in Fiji and other comparable multilingual countries. The study was conducted at a university in Fiji where 120 students were sampled at the beginning of the first year and at the end of their first year of university programme. The same cohort was tracked throughout the project, out of which 30 students were interviewed at the end of the first year.

The four indicators include: (1) lack of teaching and learning resources, (2) language barriers, (3) problems with the medium of instruction and (4) shortage of experienced teachers.

Although widely acknowledged in previous studies from elsewhere, the indicators of educational inequalities identified in this study are worth reporting on due to the unique socio-cultural and linguistic context of Fiji.

This paper examines the ways in which Chinese university middle managers evaluate subordinate performance in response to the Chinese Double First-Class University Plan, a national project that ranks the performance of universities. In exploring compromise arrangements, the hybridised valuing activity of middle managers is found to be shaped by emergent and extant macro-foundations.

The qualitative data from 49 semi-structured interviews at five Chinese public universities were conducted. Drawing on macro-foundational studies and the sociology of worth (SW) theory, the analysis helps to identify socially shared patterns of actions and outcomes.

The findings elucidate the interplay between diverse economic, social, political and institutional values and the compromise-making by middle managers. The authors find that contextual factors restrict Chinese academic middle managers' autonomy, preventing workable compromise. Through the selective adoption of international and local management practices, compromise has evolved into a private differential treaty at the operational level.

A nuanced explanation reveals how the macro-foundations of Chinese society influence middle managers who engage with accounting when facilitating compromise. This study helps outsiders better understand the complex convergence and divergence of performance evaluative practices in Chinese universities against the backdrop of global market-based forces and the moral dimensions of organisational life. The findings have wider implications for the Chinese government in navigating institutional steps and developing supportive policies to enable middle managers to advance productive but also sustainable compromise.

This chapter highlights a case study at the University of Wyoming (UW) to explore the role of integrating ecotourism and eco-entrepreneurship into higher education at the bachelor’s level. The university has developed a modern, comprehensive curriculum, and practical learning opportunities with local communities, conservation organizations, and industry stakeholders through a state-funded initiative. The program equips students with essential knowledge and eco-entrepreneurial skills for the sustainable development of ecotourism, outdoor recreation, and tourism industries. The chapter presents a pedagogical model as a replicable framework for other institutions aiming to incorporate sustainable, eco-centric curricula into their programs. The findings can guide policymakers, educators, and stakeholders in designing programs that synergize environmental sustainability and eco-entrepreneurial innovation to promote global sustainable development and successful higher education experiences.

This paper aims to examine sites of dissonance or consensus between global investor responses to the draft standards, International Financial Reporting Standards S1 (IFRS) (General Requirements for Disclosure of Sustainability-related Financial Information) and IFRS S2 (Climate-related Disclosures), issued by the International Sustainability Standards Board (ISSB).

A thematic content analysis was used to capture investor views expressed in their comment letters submitted in the consultation period (March to July 2022) in comparison to the ex ante position (issue of draft standards, March 2022) and ex post summary feedback (ISSB staff papers, September 2022) of the ISSB.

There was investor consensus in support of the ISSB and the development of the draft standards. However, there were sites of dissonance between investors and the ISSB, notably regarding the basis and focus of reporting (double or single/financial materiality and enterprise value); definitional clarity; emissions reporting; and assurance. Incrementally, the research further highlights that investors display heterogeneity of opinion.

The ISSB standards will provide a framework for future sustainability reporting. This research highlights the significance of such reporting to investors through their responses to the draft standards. The findings reveal sites of dissonance in the development and alignment of draft standards to user needs. The views of investors, as primary users, should help inform the development of sustainability-related standards by a global standard-setting body apposite to current policy and future reporting requirements, and their usefulness to users in practice.

To the best of the authors’ knowledge, this paper makes an original contribution to the comment letter literature, hitherto focused on financial reporting with a relative lack of investor engagement. Using thematic analysis, sites of dissonance are examined between the views of investors and the ISSB on their development of sustainability reporting standards.

To influence consumer pre-purchase decision-making processes, such as brand selection and perceived brand experience, brands are interested in adopting hyperconnected technological stimuli, such as artificial intelligence, augmented reality (AR), virtual reality, social media and tech devices. However, the understanding of different hyperconnected touchpoints remained shallow and results mixed in previous literature, despite the fact that these touchpoints span different technological interfaces/devices and may influence consumer brand selection. This paper aims to solidify the conceptual underpinnings of the role of online hyperconnected stimuli, which may influence consumer psychological reactions in terms of brand selection and experience.

This paper is conceptual and presents a discussion based on extant literature from various international publishers.

The authors revealed different technological stimuli in the online hyperconnected environment that may influence consumer online hyperconnected brand selection (OHBS), perceived online hyperconnected brand experience (OHBE), perceived well-being and behavioral intention.

The conceptual understanding of OHBS and perceived OHBE was mixed and inconsistent in previous studies. This paper brings together extant literature to establish the conceptual understanding of antecedents and outcomes of OHBS, i.e. perceived OHBE, perceived well-being and behavioral intention, and presents a cohesive conceptual framework.

This study aims to propose and evaluate the progress in the basic-pixel (a strategy to generate continuous trajectories that fill out the entire surface) algorithm towards performance gain. The objective is also to investigate the operational efficiency and effectiveness of an enhanced version compared with conventional strategies.

For the first objective, the proposed methodology is to apply the improvements proposed in the basic-pixel strategy, test it on three demonstrative parts and statistically evaluate the performance using the distance trajectory criterion. For the second objective, the enhanced-pixel strategy is compared with conventional strategies in terms of trajectory distance, build time and the number of arcs starts and stops (operational efficiency) and targeting the nominal geometry of a part (operational effectiveness).

The results showed that the improvements proposed to the basic-pixel strategy could generate continuous trajectories with shorter distances and comparable building times (operational efficiency). Regarding operational effectiveness, the parts built by the enhanced-pixel strategy presented lower dimensional deviation than the other strategies studied. Therefore, the enhanced-pixel strategy appears to be a good candidate for building more complex printable parts and delivering operational efficiency and effectiveness.

This paper presents an evolution of the basic-pixel strategy (a space-filling strategy) with the introduction of new elements in the algorithm and proves the improvement of the strategy’s performance with this. An interesting comparison is also presented in terms of operational efficiency and effectiveness between the enhanced-pixel strategy and conventional strategies.

This paper aims to analyze stock market reactions to announcements of regulatory and law enforcement penalties imposed on banks operating in the USA.

This paper examines abnormal stock market returns around penalty announcements for banks operating in the USA from 2000 to 2022. The authors use a comprehensive data set of nearly 600 penalties to conduct their event study.

This paper finds evidence of positive and statistically significant abnormal returns on the day of the penalty announcement. However, the authors also observe negative and statistically significant abnormal returns days later, violating the semi-strong efficient market hypothesis.

By accounting for confounding events and analyzing subsamples, the authors reconcile conflicting results from prior literature that have variously shown negative, null or positive stock market reactions to penalty announcements.

In recent times, the field of corporate intelligence has gained substantial prominence, employing advanced data analysis techniques to yield pivotal insights for instantaneous strategic and tactical decision-making. Expanding beyond rudimentary post observation and analysis, social media analytics unfolds a comprehensive exploration of diverse data streams encompassing social media platforms and blogs, thereby facilitating an all-encompassing understanding of the dynamic social customer landscape. During an extensive evaluation of social media presence, various indicators such as popularity, impressions, user engagement, content flow, and brand references undergo meticulous scrutiny. Invaluable intelligence lies within user-generated data stemming from social media platforms, encompassing valuable customer perspectives, feedback, and recommendations that have the potential to revolutionize numerous operational facets, including supply chain management. Despite its intrinsic worth, the actual business value of social media data is frequently overshadowed due to the pervasive abundance of content saturating the digital realm. In response to this concern, the present study introduces a cutting-edge system known as the Enterprise Just-in-time Decision Support System (EJDSS).

Leveraging deep learning techniques and advanced analytics of social media data, the EJDSS aims to propel business operations forward. Specifically tailored to the domain of marketing, the framework delineates a practical methodology for extracting invaluable insights from the vast expanse of social data. This scholarly work offers a comprehensive overview of fundamental principles, pertinent challenges, functional aspects, and significant advancements in the realm of extensive social data analysis. Moreover, it presents compelling real-world scenarios that vividly illustrate the tangible advantages companies stand to gain by incorporating social data analytics into their decision-making processes and capitalizing on emerging investment prospects.

To substantiate the efficacy of the EJDSS, a detailed case study centered around reverse logistics resource recycling is presented, accompanied by experimental findings that underscore the system’s exceptional performance. The study showcases remarkable precision, robustness, F1 score, and variance statistics, attaining impressive figures of 83.62%, 78.44%, 83.67%, and 3.79%, respectively.

This scholarly work offers a comprehensive overview of fundamental principles, pertinent challenges, functional aspects, and significant advancements in the realm of extensive social data analysis. Moreover, it presents compelling real-world scenarios that vividly illustrate the tangible advantages companies stand to gain by incorporating social data analytics into their decision-making processes and capitalizing on emerging investment prospects.