Search results

The extant research on student attrition and retention has relied on models that focus on factors over which universities may have limited control and thus not lead to actionable practices. To address this shortcoming, the authors applied organizational support theory (OST) to test the association between students' perceptions of justice, perceived organizational support (POS), perceived professor support, organizational identification, and intention to quit.

Using items from validated scales, a survey was used to collect data from students in the college of business at a southwestern public university in the United States. A final sample of 316 observations was fitted to a structural equation model to test the study's a priori hypotheses.

The authors found that professor support and procedural justice had direct positive effects on POS. Distributive justice and interactional justice indirectly influenced POS through professor support. In turn, POS had decreased students' intention to quit and increased their organizational identification. The antecedents of POS indirectly influenced intention to quit and organizational identification. The determinants in the model accounted for 12% of the variance in students' intentions to quit, and 25% of students' organizational identification.

This study contributes to the student attrition literature where few studies have applied OST to student populations despite the strong link between POS and intention to quit in employment settings. In this study, the authors provide evidence of the suitability of the OST framework to predict students' intentions to quit.

The majority of emerging adults in the United States spend time in cohabiting unions. Prior research has suggested that higher levels of sexual non-exclusivity may exist among those in cohabiting relationships compared to marital unions. Although these basic patterns have been explored in prior work, research examining the potential reasons why levels of sexual non-exclusivity differ by union status has been limited. Drawing on a relational perspective and using the fifth wave of data from the Toledo Adolescent Relationships Study (TARS), the present study found that higher levels of sexual non-exclusivity in cohabiting relationships were explained by intimate relationship characteristics and sexual histories rather than sociodemographic factors, partner heterogamy, or partner- and couple-level drug use. These findings highlighted that understanding the higher rates of sexually non-exclusive experiences in cohabiting relationships, compared to marital relationships, requires attention to specific dynamics of the intimate partnership and prior relational experiences of both partners. The study concluded that cohabitation has a unique place in emerging adults’ relationship landscape and may set the groundwork for future relationship functioning.

This study explores the link between ISO 9001 certification, personal data protection and firm performance using financial balance sheet and survey data. The security aspect of data protection is analyzed based on the major requirements of the General Data Protection Regulation and mapped to the relevant controls of the ISO/IEC 27001/27002 standards.

The research analysis is based on 96 ISO 9001–certified and non-certified publicly traded manufacturing and service firms that responded to a structured questionnaire. The authors develop and empirically test their theoretical model using the structural equation modeling technique and follow a difference-in-differences econometric modeling approach to estimate financial performance differences between certified and non-certified firms accounting for the level of data protection.

The estimates indicate three core dimensions in the areas of “policies, procedures and responsibilities,” “access control management” and “risk-reduction techniques” as desirable components in establishing the concept of data security. The estimates also suggest that the data protection level has significantly impacted the performance of certified firms relative to the non-certified. Controlling for the effect of industry-level factors reveals a positive relationship between data security and high-technological intensity.

The results imply that improving the level of compliance to data protection enhances the link between certification and firm performance.

This study fills a gap in the literature by empirically testing the influence of data protection on the relationship between quality certification and firm performance.

This study explores the opportunities for a gender-inclusive architecture, engineering and construction (AEC) industry, focussing on the gap between architectural education and practice. This study focusses on three research questions: (1) What factors influence women architects' career retention and advancement in the AEC industry? How can practice outcomes be linked with educational approaches for gender inclusion in the AEC industry? (3) What critical factors can enable structural changes in architecture education, including AEC-related subjects and practice/career pathways towards gender equity?

This paper is based on a systematic literature review (SLR). The established timeframe for selecting papers in this study considered the last 20 years, as various seminal studies in feminism and gender inclusion in architecture emerged in the early 2000s through the definition of keywords used in two prestigious databases. The academic articles selected were filtered through a process of inclusion and exclusion, following criteria for suitability and relevance using a Preferred Reporting Items for Systematic Reviews (PRISMA) diagram.

This study revealed key trends in the literature review consistent with the research questions, including (1) the disproportionate struggles women face at individual, interpersonal and organisational levels and the gender-based bias from entry and progression in the AEC industry that also requires multi-level interventions; (2) traditional architecture education affects female students and educators who find networking, social capital and leadership opportunities to challenge gender-based stereotypes and promote workplace equity, and finally, (3) observe enablers for fostering equity in architecture and education, which should not be limited to policy-driven interventions but structural transformations through transparency, mentorship, leadership, awareness raising and empowerment of women and men, promoting inclusivity and gender equity in the AEC industry.

This study considers a global understanding of gender equity in the AEC industry, regional and country-specific analysis needs to be considered in future studies. The study's focus is on women’s inclusion, acknowledging the limitations of conventional binary gender concepts; future studies need to include the experiences of LGBTI + communities and other underrepresented groups. The literature review considers only academic articles; future research should also consider industry reports, government initiatives and organisational documents for a broader understanding of diversity efforts in business.

This paper observes the issues for gender-inclusive architecture within the context of a male-dominant AEC industry through linking architectural education and practice. Studies rarely focus on this link and address workplace issues. This study highlights this link and extends the discussion through the critical literature review, providing a new ground for geographic-specific or intersectional studies.

This study aims to assess the efficacy of thermal analysis of concrete slabs by including different insulation materials using ANSYS. Regression equations were proposed to predict the thermal conductivity using concrete density. As these simulation and regression analyses are essential tools in designing the thermal insulation concretes with various densities, they sequentially reduce the associated time, effort and cost.

Two grades of concretes were taken for thermal analysis. They were designed by replacing the natural fine aggregates with thermal insulation aggregates: expanded polystyrene, exfoliated vermiculite and light expanded clay. Density, temperature difference, specific heat capacity, thermal conductivity and time were measured by conducting experiments. This data was used to simulate concrete slabs in ANSYS. Regression analysis was performed to obtain the relation between density and thermal conductivity. Finally, the quality of the predicted regression equations was assessed using root mean square error (RMSE), mean absolute error (MAE), integral absolute error (IAE) and normal efficiency (NE).

ANSYS analysis on concrete slabs accurately estimates the thermal behavior of concrete, with lesser error value ranges between 0.19 and 7.92%. Further, the developed regression equations proved accurate with lower values of RMSE (0.013 to 0.089), MAE (0.009 to 0.088); IAE (0.216 to 5.828%) and higher values of NE (94.16 to 99.97%).

The thermal analysis accurately simulates the experimental transfer of heat across the concrete slab. Obtained regression equations proved helpful while designing the thermal insulation concrete.

The purpose of this research paper is to review and synthesize the role of blockchain technology (BCT) in various types of illegal activities, including but not limited to fraud, money laundering, ransomware attacks, firearms, drug tracking, cyberattacks, identity theft and scams.

The authors conducted a review of studies related to illegal activities using blockchain from 2015 to 2023. Next, a thematic review of the literature was performed to see how these illegal activities were conducted using BCT.

Through this study, the authors identify the relevant themes that highlight the major illegal activities performed using BCT, its possible steps for prevention and the opportunities for future developments. Finally, the authors provide suggestions for future research using the theory, context and method framework.

No other research has synthesized the illegal activities using BCT through a thematic approach to the best of the authors’ knowledge. Hence, this study will act as a starting point for future research for academic and technical practitioners in this area.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

This study aims to investigate disclosure of asbestos-related liabilities in corporate accounts and counter-accounts to examine whether and how accounting contributes to corporate accountability for asbestos-contaminated products.

This study uses the Goffmanesque perspective on impression management to examine instances of concealed asbestos-related liabilities in corporate accounts vis-à-vis the revealing of such liabilities in counter-accounts.

The findings show counter-accounts provide significant information on liabilities originating from the exposure of employees and consumers to asbestos. By contrast, the malleability of accounting tools enables companies to eschew accounting disclosures. While the frontstage positive performance of companies served an impression management role, their backstage concealing actions enabled companies to cover up asbestos-related liabilities. These companies used three categories of mechanisms to avoid disclosure of asbestos-related liabilities: concealing via a “cloak of competence”, impression management via epistemic work and a silent strategy of concealment frontstage with strategic reorganisation backstage.

This study has policy relevance as regulators need to consider the limits of corporate disclosures as an accountability tool. The findings may also initiate academic and practitioner conversations about accounting standards for long-term liabilities.

This study highlights the strategies companies use both frontstage and backstage to avoid disclosing asbestos-related liabilities. Through analysis of accounts and counter-accounts, this study identifies the limits of accounting as an accountability tool regarding asbestos-induced diseases and deaths.

The purpose of this study is to highlight and demonstrate how the study of stress and related responses in construction can best be measured and benchmarked effectively.

A range of perceptual and physiological measures are obtained across different time periods and during different activities in a fieldwork setting. Differences in the empirical results are analysed and implications for future studies of stress discussed.

The results of this study strongly support the use of multiple psychometrics and biosensors whenever biometrics are included in the study of stress. Perceptual, physiological and environmental factors are all shown to act in concert to impact stress. Strong conclusions on the potential drivers of stress should then only be considered when consistent results apply across multiple metrics, time periods and activities.

Stress is an incredibly complex condition. This study demonstrates why many current applications of biosensors to study stress in construction are not up to the task and provides empirical evidence on how future studies can be significantly improved.

To the best of the author’s knowledge, this is the first study to focus explicitly on demonstrating the need for multiple research instruments and settings when studying stress or related conditions in construction.

This study aims to analyze a conspicuous corpus of literature related to the field of technology-based intensive care research and to develop an architecture model of the future smart intensive care unit (ICU).

Papers related to the topics of electronic health record (EHR), big data, data flow and clinical decision support in ICUs were investigated. These concepts have been analyzed in combination with secondary use of data, prediction models, data standardization and interoperability challenges. Based on the findings, an architecture model evaluated using MIMIC III is proposed.

Research identified issues regarding implementation of systems, data sources, interoperability, management of big data and free text produced in ICUs and lack of accuracy of prediction models. ICU should be treated as part of a greater system, able to intercommunicate with other entities.

The research examines the current needs of ICUs in interoperability and data management. As environment changes dynamically, continuous assessment and evaluation of the model with other ICU databases is required.

The proposed model improves ICUs interoperability in national health system, ICU staff intercommunication, remote access and decision support. Its modular approach ensures that ICUs can have their own particularities and specialisms while ICU functions provide ongoing expertise and training to upgrade its staff.