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Does the history of the bureaucratic system, along with the establishment of the Great Wall during the Ming and Qing dynasties (1368–1911), affect firm behavior across the borderlands of the Great Wall?

The Ming and Qing dynasties built a centralized administrative system in the borderlands on the south side of the Great Wall, in contrast to the “feudal lordship” system on the north side. Employing a regression discontinuity analysis framework with the Great Wall as a geographical discontinuity, we examine the long-run effects of the Great Wall on firms’ earnings management.

Using a large sample of nonlisted firms in the central core frontier region, we show that the earnings management of firms in the region south of the Great Wall is significantly curtailed compared with firms in the north of it, and this effect is more pronounced for non-SOEs. Our findings are robust to a battery of tests to account for alternative explanations.

Overall, by emphasizing the role of institutions, like legal system, shaped in history on firms’ earnings management, this study sheds new light on institutional determinants of firms’ behaviors in earnings information disclosure.

First, we enrich our understanding of the institutional determinants of firms’ financial reporting outcomes. Second, our findings shed new light on the long-term effects of historical ruling styles on modern corporate behavior.

This study aims to achieve superior localization and mapping performance in point cloud degradation scenarios through the effective removal of dynamic obstacles. With the continuous development of various technologies for autonomous vehicles, the LIDAR-based Simultaneous localization and mapping (SLAM) system is becoming increasingly important. However, in SLAM systems, effectively addressing the challenges of point cloud degradation scenarios is essential for accurate localization and mapping, with dynamic obstacle removal being a key component.

This paper proposes a method that combines adaptive feature extraction and loop closure detection algorithms to address this challenge. In the SLAM system, the ground point cloud and non-ground point cloud are separated to reduce the impact of noise. And based on the cylindrical projection image of the point cloud, the intensity features are adaptively extracted, the degradation direction is determined by the degradation factor and the intensity features are matched with the map to correct the degraded pose. Moreover, through the difference in raster distribution of the point clouds before and after two frames in the loop process, the dynamic point clouds are identified and removed, and the map is updated.

Experimental results show that the method has good performance. The absolute displacement accuracy of the laser odometer is improved by 27.1%, the relative displacement accuracy is improved by 33.5% and the relative angle accuracy is improved by 23.8% after using the adaptive intensity feature extraction method. The position error is reduced by 30% after removing the dynamic target.

Compared with LiDAR odometry and mapping algorithm, the method has greater robustness and accuracy in mapping and localization.

This is an account of student experiences with the 2020/2021 Johnson & Johnson (J&J) Women in Science, Technology, Engineering, Mathematics, Manufacturing and Design (WiSTEM²D) intervention programme at the University of Limerick (UL).

The WiSTEM²D programme supports female undergraduate students undertaking science, technology, engineering, mathematics, manufacturing and design (STEM²D) courses, helping them develop and grow in their degrees, research and beyond.

During the programme, data were gathered from students in the form of qualitative information, which was used to analyse perceptions of the programme. This analysis revealed that students found the WiSTEM²D programme beneficial to them and that it improved their confidence levels, career knowledge and overall networking abilities.

WiSTEM²D is one of several initiatives globally that are attempting to empower and encourage women to be active in STEM.

Online open innovation platforms provide opportunities for product users to participate in the innovation process and contribute their ideas to the platform. Nonetheless, they also present a significant challenge for platform managers, who select high-quality innovations from a massive collection of information with diverse quality.

In this study, the authors employed a machine learning method to automatically collect a real dataset of 2,276 innovations and 30,004 detailed comments from the online platform of IdeaExchange and then conducted empirical experiments to verify the study hypothesis.

Results show that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness and openness to experience and the quality of an innovation.

Results showed that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness, openness to experience and the quality of innovations.

This study combined the Big Five personality traits theory and social network theory to examine the association between user intrinsic personality traits, social network position and the quality of their innovative ideas in the context of online innovation platforms. Additionally, the findings provide new insights for platform managers on how to select high-quality innovation information by considering user personality traits and their social network position.

This paper aims to evaluate the influence of relative social standing, society’s level of restrictions and consumption adequacy on life satisfaction as well as to examine the moderating effect that an environment of social deprivations can cause in this relationship.

The analysis uses data from 23,152 individuals distributed in 272 regions of 18 developing countries collected from the World Values Survey (WVS). Given the hierarchical structure nature of the data in a cross-country setting, the paper utilizes a multilevel linear mixed-effects model with cross-level interaction.

The results show that social deprivation, perception of inadequate consumption and lower social standing negatively affect life satisfaction. Likewise, social comparison and consumption adequacy are moderated by the level of social deprivation, showing that the effect of these variables on life satisfaction is more pronounced for individuals living in regions with a higher level of deprivation than for those living in more affluent societies.

This study enhances the comprehension of well-being within contexts characterized by elevated levels of social deprivation. Furthermore, it provides evidence that objective and subjective deprivations are not independent and antithetical concepts but act mutually in reducing individual well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0623

The primary objective of this study was to evaluate the influence of greenery on residential mobility within purpose-built student housing facilities in Northern Ghana.

This research employed a structured questionnaire and utilized an experimental block design, encompassing 124 comparative greened and non-greened student housing facilities, with a total of 995 resident participants. The impact of greenery on residential mobility was analyzed using a repeated sales model and t-test analysis.

Results revealed that residential mobility was significantly higher in non-greened student housing facilities than their greened counterparts. The study further indicated that the presence of greenery had a substantial effect on residential mobility, attributed to residents' preferences for the ecological, social and economic benefits associated with greenery, rather than merely infrastructure considerations.

Enhancing the aesthetic appeal, economic viability, safety, security and health benefits of greened student housing facilities while managing the influence of greenery on infrastructure was found to affect residential mobility. The findings suggest that improving occupancy rates in these facilities through the incorporation of greenery could yield higher rental income and better cash flows for investors involved in student housing operations.

This study highlights the ecological, social and economic advantages of greenery for residents. While the benefits of greenery in residential contexts are increasingly recognized, the specific impact of greenery on residential mobility within the Sub-Saharan African context represents a novel contribution. The application of neighborhood effects theory to the examination of greenery benefits and residential mobility in this region adds a new dimension to existing research.

This chapter highlights the close relationship between the wellbeing of faculty and students in higher education and the quality of teaching and learning. Improving teaching and learning is crucial for promoting the wellbeing of both faculty and students. As such, instructional leadership, an approach that focuses on enhancing teaching and learning, should be a priority for higher education leaders. However, the involvement of higher education leaders in instructional leadership is often limited. Therefore, a customized version of instructional leadership that considers the unique priorities, characteristics, and norms of this specific educational context should be implemented in higher education to prioritize the improvement of teaching and learning and, consequently, enhance the wellbeing of faculty and students.

We call the attention of management scholars to the methodological traps inherent to data collected using self-reported emotional experience in the context of integration after mergers and acquisitions (M&A). In a systematic review, we identified 15 peer-reviewed empirical articles where authors discuss the impact of emotions in post-merger situations based on interview data. We found that the authors of 12 studies appear to have been unaware of the problems of the interview method or implicitly accepted the inherent and unavoidable distortions and biases of self-reported emotions over time. We argue that these distortions and biases represent threats to data validity and reliability. In support of this position, we cite literature suggesting it is difficult for researchers to reconstruct emotions experienced based on interviews conducted a few weeks after the events, so results based on this method may not be valid. The authors of these articles all relied on data collected several months or years after M&A integration events. Then, they sought to assess the impact of emotions at the time of the integration process. As a consequence, conclusions based on these data may be unreliable. We conclude with recommendations for overcoming this potential source of invalid data in post-merger integration (PMI) studies.

Ethical principles and practices frequently support the position that people with disability are vulnerable. Vulnerability in research traditionally infers a need for protection from harm and raises questions over the person’s capacity to consent and engage. In addition, vulnerability in ethics infers a state of permanency and one that is all-encompassing for everyone within the vulnerable groups. This construction of vulnerability in effect legitimises the exclusion of people with disability from research or monitors and restricts how people with disability can engage in research. This results in an implicitly ableist environment for research. In this chapter, which has been led by researchers with disability, we argue that there is a critical need to move beyond a popularised social construction of vulnerability which serves to perpetuate barriers to including people with disability in research. Like all terms, the traditional and popular construction of vulnerability is open to reclaiming and reframing. Under this reconstruction, what is traditionally viewed as a limiting vulnerability can be owned, openly disclosed and accommodated. Following a pandemic-inspired ‘new normal’ that supports flexible workplace practices, and in accordance with UNCRPD goals of inclusive employment and reducing disability inequity, we argue that the pathway for people with disability as career researchers needs an ethical review and overhaul. We provide readers with a practical roadmap to advance a more inclusive academy for researchers with disability.

This chapter explores perspectives on the role of leaders in higher education to promote wellbeing that strengthens capabilities and capacities and provides means for sustainable achievement and flourishing. The author discusses perspectives on health and wellness and approaches to wellbeing, flourishing, and thriving to find and create work–life balance and addresses training and development to enhance knowledge on the importance of wellbeing. The chapter is based on a qualitative interview study on practices of wellbeing, flourishing, and thriving in educational organizations with a purposive sample of six higher education leaders in the USA, Canada, and Jamaica. The findings revealed that promoting wellbeing in higher education demands qualities promoted by leaders such as capability, capacity, and sustainability for success. The chapter concludes with a theoretical framework on educational leaders’ wellbeing, flourishing, and sustainability that can create opportunities for leaders’ to understand health and wellness in their institutions effectively.