Search results

Justice rules are standards that serve as criteria for formulating fairness judgments. Though justice rules play a role in the organizational justice literature, they have seldom been the subject of analysis in their own right. To address this limitation, we first consider three meta-theoretical dualities that are highlighted by justice rules – the distinction between justice versus fairness, indirect versus direct measurement, and normative versus descriptive paradigms. Second, we review existing justice rules and organize them into four types of justice: distributive (e.g., equity, equality), procedural (e.g., voice, consistent treatment), interpersonal (e.g., politeness, respectfulness), and informational (e.g., candor, timeliness). We also emphasize emergent rules that have not received sufficient research attention. Third, we consider various computation models purporting to explain how justice rules are assessed and aggregated to form fairness judgments. Fourth and last, we conclude by reviewing research that enriches our understanding of justice rules by showing how they are cognitively processed. We observe that there are a number of influences on fairness judgments, and situations exist in which individuals do not systematically consider justice rules.

Describes methods of accelerated corrosion testing currently being used in the world today and the cabinets available in which to perform the tests. Compares the tests and looks at the results obtained from them, looking at constant salt‐spray testing ASTM B117, cyclic wet/dry Prohesion and the multi‐function automotive cyclic corrosion test which incorporates salt‐spray cycles and high humidity cycles. Gives test results comparing constant salt‐spray to cyclic Prohesion to natural outdoor exposure.

Drawing on the social exchange theory, this study examines the impact of self-sacrificial leadership on employee creativity and explores the mediating role of employees' creative process engagement and shared vision, along with the multilevel moderating role of shared vision.

The data were collected from 78 R&D teams, and hierarchical linear model and bootstrapping analysis outlined by Hayes were used to test the hypotheses.

Self-sacrificial leadership exerted a significantly positive impact on employee creativity, employees' creative process engagement and shared vision, whereas employees' creative process engagement and shared vision mediated the relationship between self-sacrificial leadership and employee creativity, respectively. Moreover, shared vision significantly moderated the relationship between employees' creative process engagement and employee creativity, such that the higher the shared vision, the stronger the relationship between employees' creative process engagement and employee creativity.

Organizations and managers should provide leadership development training programs, such as leadership skills and abilities, to exhibit their self-sacrificing behaviors. Besides, while team leaders set an example for employees, in turn, spurring employees' creative process engagement, they should also elucidate the team/organization mission, amplify the publicity and employees' understanding of the mission.

This study advances the self-sacrificial leadership and creativity literature by establishing employees' creative process engagement and shared vision as crucial mediators and shared vision as boundary condition in the relationship between employees' creative process engagement and employee creativity, as well as stressing the theoretical research of leadership and creativity.

Drawing on knowledge-based view, social exchange theory and leader-member exchange, this study examines how exploitative leadership (EL) influences knowledge management (KM), its processes, and further investigates the moderating role of organisational citizenship behaviours (OCB) on the relationship between EL and KM.

Using a quantitative approach, survey data were collected from 356 faculty members in Iraqi public universities, and the direct and moderating relationships were assessed through Hierarchical regression by PROCESS v.3.3 macros in SPSS.

The study found a significant negative impact of EL on KM, including its processes, especially on knowledge utilisation. The assessment also revealed that OCB has a significant moderating impact on EL, particularly its effect on knowledge creation.

The empirical insights of the study are valuable and precious for policymakers, managers and academics in education sectors of developing countries, to enrich their managerial and scientific performance through addressing EL behaviours while considering the moderating effect of OCB.

The relevance of the study stems from the scarcity of research on EL, while studies on the negative behaviours of leaders as a predictor of KM process failures are significantly limited. Additionally, studies on the moderating impact of OCB on the linkage between EL and KM processes remain limited. This study is one of the earliest studies that investigate these inter-relationships amongst EL, OCB and KM processes.

Explains corrosion protection and how it works. Discusses the effect of environmental legislation on corrosion protective paints, which necessitates the removal of solvents and toxic additives, making the protection weaker. In order to remedy this one must determine how protection is provided, which involves the separation of barrier properties and electrochemical passivation. Describes methods and tests involved in this and discusses the results. Concludes with recommendations and a suggestion for further tests.

This paper aims to demonstrate how the new generative artificial intelligence (AI) tool ChatGPT changes knowledge work for individuals and what are the implications of this change for companies.

Based on 22 interviews from informants across different industries, the authors conducted an inductive analysis on the use and utility of ChatGPT in knowledge work. Based on this initial analysis, they discovered different ways in which ChatGPT either augments human agency, makes it redundant or lacks capability in that regard.

The authors develop a 2 × 2 framework of algorithmic assistance, which demonstrates four ways in which ChatGPT (and generative AI in general) interacts with knowledge workers, depending on the usefulness of ChatGPT in particular tasks and the type of the task (routine vs creative).

Based on the insights from the interviews, the authors propose a set of actionable questions for individual knowledge workers and companies from four viewpoints: skills and capabilities; team structure and workflow coordination; culture and mindset; and business model innovation.

To the best of the authors’ knowledge, this study is among the first to identify and analyze the use of ChatGPT by knowledge workers across different industries.

This paper aims to provide a better understanding of the challenges and potential solutions in Visual Simultaneous Localization and Mapping (SLAM), laying the foundation for its applications in autonomous navigation, intelligent driving and other related domains.

In analyzing the latest research, the review presents representative achievements, including methods to enhance efficiency, robustness and accuracy. Additionally, the review provides insights into the future development direction of Visual SLAM, emphasizing the importance of improving system robustness when dealing with dynamic environments. The research methodology of this review involves a literature review and data set analysis, enabling a comprehensive understanding of the current status and prospects in the field of Visual SLAM.

This review aims to comprehensively evaluate the latest advances and challenges in the field of Visual SLAM. By collecting and analyzing relevant research papers and classic data sets, it reveals the current issues faced by Visual SLAM in complex environments and proposes potential solutions. The review begins by introducing the fundamental principles and application areas of Visual SLAM, followed by an in-depth discussion of the challenges encountered when dealing with dynamic objects and complex environments. To enhance the performance of SLAM algorithms, researchers have made progress by integrating different sensor modalities, improving feature extraction and incorporating deep learning techniques, driving advancements in the field.

To the best of the authors’ knowledge, the originality of this review lies in its in-depth analysis of current research hotspots and predictions for future development, providing valuable references for researchers in this field.

This paper aims to provide a comprehensive analysis of the transformative impact of Artificial Intelligence (AI) and Large Language Models (LLMs), such as GPT-4, on the real estate industry. It explores how these technologies are reshaping various aspects of the sector, from market analysis and valuation to customer interactions and evaluates the balance between technological efficiency and the preservation of human elements in business.

The study is based on an analysis of the strengths and weaknesses of AI as a technology in applications for real estate. It uses this framework to assess the potential of this technology in different use cases. This is supplemented by an emerging literature on the topic, practical insights and industry expert opinions to provide a balanced perspective on the subject.

The paper reveals that AI and LLMs offer significant benefits in real estate, including enhanced data-driven decision-making, predictive analytics and operational efficiency. However, it also uncovers critical challenges, such as potential biases in AI algorithms and the risk of depersonalising customer interactions.

The paper advocates for a balanced approach to adopting AI, emphasising the importance of understanding its strengths and limitations while ensuring ethical usage in the diverse and complex landscape of real estate.

This work stands out for its balanced examination of both the advantages and limitations of AI in real estate. It introduces the novel concept of the “jagged technological frontier” in real estate, providing a unique framework for understanding the interplay between AI and human expertise in the industry.

Leadership research is of interest to academics and practitioners in the construction industry. Based on the ego-depletion theory and authentic leadership theory, the current study aims to investigate the impact of women authentic leadership on leaders' emotional exhaustion and job engagement in the construction industry.

The data were gathered in two waves using a time lag approach. The responses of 276 women leaders-follower dyads from construction firms in China's eastern provinces were analyzed using a moderated mediation model.

Most of the proposed hypotheses were supported by the findings of this study, which showed that authentic leadership can reduce emotional exhaustion in women leaders and increase work engagement through ego depletion. Furthermore, the leader's sense of belonging, according to this study, moderates the mediating effect of ego depletion.

This study can help managers, policymakers and human resource professionals think about authentic leadership and its impact on women leaders. Furthermore, ego depletion has an impact on the psychological well-being of authentic women leaders. The sense of belongingness of a leader is critical in buffering the negative effects of ego depletion for women in authentic leadership. Thus, women leaders in construction sector should be encouraged to express a sense of belonging to their followers, since this will improve their work engagement and lessen their emotional exhaustion.

This study is unique in that it examines the authentic behavior of women leaders in the Chinese construction sector, which is a challenging profession for women to work in as site managers. This study contributes to the literature on women in leadership by demonstrating how authentic leadership behavior influences the wellbeing and engagement of leaders. In addition, the study indicated that the effect of the mediator (ego depletion) and moderator (leader sense of belongingness) on the relationship between women's authentic leadership and the leader's own psychological wellbeing and job engagement was significant.