Search results

Current solutions for monitoring the progress of pavement construction (such as collecting, processing and analysing data) are inefficient, labour-intensive, time-consuming, tedious and error-prone. In this study, an automated solution proposes sensors prototype mounted unmanned ground vehicle (UGV) for data collection, an LSTM classifier for road layer detection, the integrated algorithm for as-built progress calculation and web-based as-built reporting.

The crux of the proposed solution, the road layer detection model, is proposed to develop from the layer change detection model and rule-based reasoning. In the beginning, data were gathered using a UGV with a laser ToF (time-of-flight) distance sensor, accelerometer, gyroscope and GPS sensor in a controlled environment. The long short-term memory (LSTM) algorithm was utilised on acquired data to develop a classifier model for layer change detection, such as layer not changed, layer up and layer down.

In controlled environment experiments, the classification of road layer changes achieved 94.35% test accuracy with 14.05% loss. Subsequently, the proposed approach, including the layer detection model, as-built measurement algorithm and reporting, was successfully implemented with a real case study to test the robustness of the model and measure the as-built progress.

The implementation of the proposed framework can allow continuous, real-time monitoring of road construction projects, eliminating the need for manual, time-consuming methods. This study will potentially help the construction industry in the real time decision-making process of construction progress monitoring and controlling action.

This first novel approach marks the first utilization of sensors mounted UGV for monitoring road construction progress, filling a crucial research gap in incremental and segment-wise construction monitoring and offering a solution that addresses challenges faced by Unmanned Aerial Vehicles (UAVs) and 3D reconstruction. Utilizing UGVs offers advantages like cost-effectiveness, safety and operational flexibility in no-fly zones.

The success of Black males in community colleges across the nation is at a pivotal turning point. Due to increased social unrest in America and the global challenges of the COVID-19 pandemic, there is a renewed focus on equitable outcomes for marginalized, underrepresented, and minoritized student groups. Consequently, institutions have sought to identify innovative and effective solutions to recruit, engage, retain, and graduate Black males.

In this chapter, best practices focused on the areas of advising, engagement, instruction, and programing will be discussed. The authors call for a strategic shared responsibility between Academic Affairs and Student Services to promote the educational, civic, and social success of Black males. The importance of workforce development for nondegree seeking Black male students will be explored. It is vital for community college professionals to develop cultural competency by developing a shared understanding of values and language. Other areas to be emphasized include developing consistency for psychological safe spaces, disaggregating student data, and providing access to key services and resources.

While scholarship has identified the bias that maternal women (Arena et al., 2023; Grandey et al., 2020) and racial minority employees (King et al., in press) endure, few have taken aim at understanding how these identity characteristics might combine to concomitantly shape work experiences. Drawing from stigma theory (Goffman, 1963), the primary purpose of our chapter is to examine how the stereotypes of maternity might interact with race-based stereotypes to shape the experiences of working women. In doing so, we will be able to identify which stereotypes of maternity (i.e., incompetence or disloyalty; Grandey et al., 2020) might be exacerbated or weakened when varying race-based stereotypes are considered. After reviewing the potential for intersecting stereotypes, we then argue that mothers might experience different work and health outcomes – both pre- and postpartum – based on their race. We close by providing insight for future scholars and identify additional identity characteristics that may shape mothers' workplace experiences.

This study comprehensively explains how sports consumers evaluate athletes’ post-transgression philanthropic activities. We specifically focus on the congruence effect between the pre-transgression philanthropic endeavors and the transgression issue, shedding light on the effectiveness of these strategies in reinstating the positive image of athletes and associated entities.

This study employed a rigorous research design, replicating two studies using sports-related (n = 409) and non-sports-related (n = 404) transgression cases. Data were collected by the Amazon Mechanical Turk platform. A series of experimental studies aimed to investigate the congruence mechanism underlying athletes’ post-transgression philanthropic efforts.

When the post-transgression philanthropic initiative is related to the transgression, sport consumers are less likely to view it skeptically and are more inclined to positively evaluate the brand attitude and purchase intention, especially when the transgression is unrelated to the pre-transgression philanthropic efforts.

As is the case with most research, this study has a limitation. This study used a fictitious athlete name to prevent any prior biases or preconceived notions about the athletes and to avoid any unforeseen influences of personal attitudes toward the athlete. However, designing this study around a fictitious athlete may pose construct validity issues because it may not reflect real-life interactions with the athletes. To increase the validity of findings, future research should aim to replicate the current findings using the names of actual athletes.

This unique approach provides valuable insights and equips sports marketers and brand managers with effective strategies to restore the positive image of athletes and associated entities after a transgression has been made public, empowering them to make informed decisions in challenging situations.

By investigating the thermal-mechanical interaction between the through silicon via (TSV) and the Cu pad, this study aimed to determine the effect of electroplating defects on the upper surface protrusion and internal stress distribution of the TSV at various temperatures and to provide guidelines for the positioning of TSVs and the optimization of the electroplating process.

A simplified model that consisted of a TSV (100 µm in diameter and 300 µm in height), a covering Cu pad (2 µm thick) and an internal drop-like electroplating defect (which had various dimensions and locations) was developed. The surface overall deformation and stress distribution of these models under various thermal conditions were analyzed and compared.

The Cu pad could barely suppress the upper surface protrusion of the TSV if the temperature was below 250 ?. Interfacial delamination started at the collar of the TSV at about 250 ? and became increasingly pronounced at higher temperatures. The electroplating defect constantly experienced the highest level of strain and stress during the temperature increase, despite its geometry or location. But as its radius expanded or its distance to the upper surface increased, the overall deformation of the upper surface and the stress concentration at the collar of the TSV showed a downward trend.

Previous studies have not examined the influence of the electroplating void on the thermal behavior of the TSV. However, with the proposed methodology, the strain and stress distribution of the TSV under different conditions in terms of temperature, dimension and location of the electroplating void were thoroughly investigated, which might be beneficial to the positioning of TSVs and the optimization of the electroplating process.

Digital-only fashion represents an ideal fusion of sustainability and fashionability, garnering growing interest among fashion professionals. However, there is a noticeable gap in research focusing on digital-only fashion acceptance among consumers. Hence, this study aims to empirically examine consumers’ motivations, evaluations and acceptance of digital-only fashion based on the Functional Theory of Attitudes.

A US-based research agency was hired to collect data, resulting in 247 completed survey responses. Data analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach.

Testing results highlight that consumer acceptance of digital-only fashion is directly influenced by both overall attitude and self-expressive attitude. Self-expression is particularly pivotal in digital-only fashion acceptance. Adorning avatars and dressing realistic on-screen bodies are distinct yet complementary aspects of using digital-only fashion. Consumers with positive environmental beliefs about digital-only fashion are concerned about how well digital-only fashion items allow them to express such beliefs.

This study innovatively applied the functional theory of attitudes to the emerging domain of digital-only fashion and identified consumers’ four functional attitudes toward digital-only fashion, along with the underlying motivations served by each functional attitude. Furthermore, this study provides valuable practical insights across the digital-only fashion value chain.

Green knowledge management (GKM) has become a critical factor for modern organizations, offering a multifaceted approach to enhancing business operations while promoting environmental sustainability. The purpose of this paper is to review the literature and explore how GKM helps companies reduce their ecological footprint by digitalizing processes and minimizing physical storage needs, thus aligning with growing expectations for corporate environmental responsibility. The necessity for conducting a GKM review is underscored by the increasing recognition of sustainability, environmental performance and as a critical component of organizational corporate success in the contemporary business landscape.

This study conducted a bibliometric analysis of 994 papers related to GKM from 2005 until August 2024.

Over the 20 years of research on GKM, this bibliometric analysis drew the interlinked relationships between main theme of KM in the context of sustainable practices, processes, social and related theories. This study identifies green innovation, digital transformation, green and lean supply chains, leadership and technology tools. Future research can explore themes such as green and lean processes, barriers and enablers, role of leadership and ambidexterity in green supply chain integration using different theoretical lenses.

Although the findings of this study are important to GKM research, there are a number of limitations to this investigation. The research database used exclusively was the Web of Science and Scopus, which contained the indexed papers. Future investigations may draw from various databases, such as EBSCO and Google Scholar. Additionally, the use of topic modelling and other artificial intelligence frameworks could enhance research analysis. Subsequently, research papers may expand their scope to encompass conference papers, books and book chapters, in addition to articles.

This review gives a holistic understanding of GKM practices across various sectors which not only enhances organizational performance but also contributes to broader environmental goals. This study offers an understanding on GKM on holistic approach that combines total quality management (TQM), absorptive capacity and collaborative frameworks to foster innovation and sustainability.

It is evident from the review that research in GKM is evolving gaining momentum. This review provides a comprehensive understanding of the GKM literature, from its earliest forms of basic concepts aligned with the sustainability and progressing more into the concepts of GKM adoption for green innovation by highlighting multiple theories, factors and gaps in the studies.

People with disabilities (PwDs) encounter several impediments to employment prospects, contributing to India's huge employment gap. Entrepreneurship offers a different avenue for PwDs to overcome these constraints. Entrepreneurship Support Organizations (ESOs) play a significant role in assisting PwD entrepreneurs. The present study aims to explore challenges encountered by entrepreneurs with disabilities (EwDs) in starting or sustaining a business in an Indian ecosystem. The study further aims to examine the status of entrepreneurial outcomes while comprehending the intersection of the challenges of disability and entrepreneurship. The study draws on stakeholder and social identity theories to understand this critical connection.

A qualitative approach is applied to study the phenomenon. Semi-structured interviews were conducted with 13 EWDs and 5 ESOs to explore the challenges faced and the available support in the Indian context. The study explores the level of coordination and roles these organizations play in fostering an entrepreneurial culture for PWDs.

The research findings explore novel challenges and facilitators of entrepreneurial pursuits of EwDs. The study further offers implications for policymakers to foster inclusive infrastructure, financial institutions to provide accessible credit options, and ESOs to amplify tailored assistance. Importantly, these dynamics have implications for advancing relevant Sustainable Development Goals.

The intersectional lens of disability and entrepreneurial challenges offered to study PwD entrepreneurship highlights new directions for exploring the phenomenon in deeper detail. Further, the theoretical underpinnings of stakeholder and social identity theories provide practical and indispensable insights into the phenomenon.

Organizations are increasingly emphasizing inclusive practices to leverage the valuable potential of their human resource. This study seeks to investigate the influence of organizational norms on the experiences of inclusion among women in manufacturing organizations. This study aims to comprehend how gendered perceptions of the ideal worker shape women’s sense of inclusion within the workplace.

The research adopted a qualitative approach to understand women’s experience of inclusion in the manufacturing workplace. Purposive and snowball sampling techniques were used to conduct semistructured interviews with 52 professionals working in the four manufacturing organizations. These employees were working in different roles as functional managers, human resource managers, diversity officers and female employees. Interviews were analyzed following a three-step coding process. ATLAS.ti software was used to analyze the data. The study draws upon Acker’s theory of “gendered organizations” and West and Zimmerman’s concept of “doing gender” to understand workplace narratives, adapting these theories to the specific context of India.

This study highlights frequent experiences of exclusion experienced by women in the workplace. This is because of a prevalent culture that prioritizes the ideal worker image within workplace narratives, serving as a significant catalyst for these experiences of exclusion. Additionally, the study underscores how apparently supportive measures, initially appearing beneficial, can inadvertently heighten women’s vulnerability to workplace exclusion.

This study shows how broader national and industrial cultures, which are often male-dominated, can, further reinforce barriers to creating a gender-inclusive workplace. Overall, the study underscores the importance of addressing ideal worker narratives as pivotal steps toward fostering a workplace that is genuinely inclusive for women.