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This paper aims to present a modular multimodal flexible electronic skin that can be used for robot collision detection in human–robot interactions. This type of electronic skin will meet the requirements of performance indicators such as sensing mode, sensing domain coverage and dynamic data update rate in human–robot interactions.

The electronic skin uses a modular architecture, and the sensing module is designed to be adjustable in size so that it can be easily deployed on complex robot surfaces, increasing area coverage, reducing power consumption, and improving data update rates.

The authors evaluated electronic skin through experiments using a UR5 robot. Electronic skin has high static scene perception differentiation and dynamic scene perception abilities. Moreover, the robot realizes a high-speed collision response based on the electronic skin proposed in this study.

The proposed electronic skin provides crucial technical support for advancing robotic technologies, and holds promising prospects for industrial applications.

The purpose of this study is to investigate the influence of organizational cynicism on prosocial voice and defensive silence and to verify the mediating role of workplace bullying in these relationships.

A cross-sectional survey design with a sample of 205 individuals was used in this study.

The hypotheses were confirmed as organizational cynicism plays a significant and negative influence on prosocial voice and a significant and positive influence on defensive silence. In addition, workplace bullying partially mediates both relationships.

This study contributes to a deeper understanding of organizational cynicism and workplace bullying influences on prosocial voice and defensive silence. It investigates a relationship that, to the best of the authors’ knowledge, has not been studied yet. It also contributes to the discussion regarding the close relationship between prosocial voice and defensive silence.

This study aims to elucidate the intricate relationship between cloud-based artificial intelligence (CBAI) and audit reports, specifically emphasizing the mediating role played by auditors.

This study used a quantitative approach, distributing 322 questionnaires to external auditors in Jordan to explore the potential enhancements of CBAI in auditing. Convenient random sampling was used to gather data from available members of the population, which comprises external audit offices in Jordan. There are a total of 454 audit offices in Jordan, employing diverse auditors, such as partner-owner auditors, assistant auditors and certified auditors. Data analysis was conducted using SmartPLS software, which uses structural equation modeling.

The study’s findings suggest potential cost savings associated with CBAI adoption, streamlined audit processes and increased overall efficiency, thereby boosting audit effectiveness and elevating the quality of audit reports. Moreover, the research observes a change in the role of auditors, with a greater emphasis on analytical and advisory tasks rather than traditional manual procedures. These insights highlight the potential benefits for both auditors and audit clients, underscoring the importance of embracing these technologies to propel the auditing profession forward in the digital era.

This study contributes insights into the impact of CBAI on the audit profession by acknowledging the shift in auditing techniques from manual to digital technology and emphasizing the benefits of cloud computing in terms of accessibility, flexibility, scalability of storage and use of financial data. It also stresses the use of CBAI technology and highlights its potential for automating and accelerating audit operations, efficiently managing client data and improving the accuracy and reliability of audit reports.

The paper aims to clarify the operation rationality of high speed trains (HSTs) under tunnel condition with the speed of 400 km/h through representative aerodynamic factors including running drag, eardrum comfort, carriages noise, aerodynamic loads on tunnel ancillary facilities and HST, micro-pressure waves, and then put forward engineering suggestions for higher speed tunnel operation based on the analysis.

Based on the field measurement data of CR400AF-C and CR400BF-J tunnel operation, correlations between each aerodynamic indicators with HST speed were established. By analyzing the safety reserve of aerodynamic indicators at 350 km/h and the sensitivity of each indicator to HST speed increasing and the indicators’ formation mechanism, the coupling relationship between various indicators was obtained.

The sensitivity of different aerodynamic indicators to speed variation differed. The aerodynamic indicators representing flow field around HST showed a linear relationship with HST speed including noise, eardrum comfort, aerodynamic load on HST body. The positive aerodynamic load on tunnel auxiliary facilities and the micro-pressure wave at the entrance of the tunnel have the same sensitivity to the 3th-power relation of HST speed. The over-limit proportion of micro-pressure wave was the highest among the indicators, and aerodynamic buffering measures were recommended for optimization. The open tunnel pressure relief structure is recommended, while allowing trains to pass through the tunnel at an unconditional speed of 380 km/h.

Comprehensive evaluation of multiple aerodynamic indicators for HST tunnel operation with higher speeds was realized. The main engineering requirements to release aerodynamic effect were identified and the optimization scheme is proposed.

The case was motivated after listening to Dr Heather Westphal’s leadership journey as a President of State University of North State (SUNS), Somerville. Several subsequent interviews were conducted with Heather, and she also became the chief protagonist of the case. Heather provided multiple quotes and anecdotes. The protagonist Heather and the focal organization (SUNS, Somerville) are disguised. However, the material facts of the case are authentic. Data were collected from public sources and SUNS, Somerville administration. Some of the data have been jittered to maintain anonymity yet keep the authenticity of the lesson.

The case exposes students to a female leader of a higher education institution in the USA. Various aspects a high-level executive must consider when deciding on career moves have been explored. Furthermore, the case draws attention to some extra particulars women leaders must consider during career transitions. The case study then dives into how a leader sets goals, executes them and repeats the process to set new goals. Two types of situations are covered – the first is where planning is followed by execution and the other is a crisis where not much planning can be done. Students will also get a glimpse into how leaders remain fit physically and mentally, as they conduct their duties in high-stress situations. Exposure to mental fitness is especially pertinent in today’s day and age where mental fatigue and issues because of work-related strain are a significant concern. Finally, the case presents students with a decision the leader is facing regarding the direction of the institution – Should she keep it traditional, go nontraditional (online) or become a hybrid?

This case is designed to target undergraduate juniors or seniors in strategy and leadership courses. The course could also be suitable for strategy students of nonprofit and not-for-profit management. It could be taught in the latter half of the course after the basic concepts have been covered. Students will be able to apply the knowledge of the core courses of management and strategy in this case. Hence, this case can act as an integrative case that brings together multiple disciplines and focuses on the leadership of a large institution.

The study explores the mechanism between employee demand–ability fit and promotability ratings. Moreover, we examine whether political skill moderates the relationship above.

The present study received 260 effective supervisor-rated questionnaires from various industries in Taiwan.

The results reveal that employee demand–ability fit positively relates to promotability ratings, and task performance mediates the above relationship. In addition, political skill positively moderates the relationship between employee demand–ability fit and task performance.

We used the supervisor rating for our variables to test the hypotheses.

The purpose of the research is to investigate the impact of affective and emotional experiences on organizational learning in highly dynamic and chaotic environments, specifically in the context of the COVID-19 crisis.

Based on an intensive 12-month inductive study, 24-project managers and 16 team members from biopharmaceutical organizations were interviewed and a thematic analysis was conducted.

Three themes emerged from the findings: (1) developing affective maturity as a socio-emotional resource, (2) mixed-motive emotional dynamics and (3) meaning-oriented organizational identification and commitment. The context of the COVID-19 crisis provided an unconventional performance environment.

Our study has several limitations, offering avenues for future research. Firstly, our focus on biopharmaceutical organizations, with their unique socio-cultural influences and management styles, may limit the generalizability of our findings to other sectors and institutional contexts. However, regulatory mechanisms in this sector may align with knowledge-based sectors, emphasizing the influence of organizational values and best practices. Secondly, our reliance on a posteriori interview data limits real-time observation of organizational learning (OL) processes. Future research could employ diverse data sources and survey methods for corroboration. Additionally, cross-cultural studies might explore how different societies respond to crises. Multi-level perspectives could also enhance understanding of affective experiences and their impact on OL outcomes.

The study contributes new insights into OL through its focus on how affective experiences and affective organizing efforts shape OL. We offer a novel and emergent theoretical model of OL in the context of trauma which has implications for organizations particularly in the areas of information processing and decision-making.

The main purpose of this study is to examine the direct relationship between police officers' perceived technology utilization and their perception of external procedural injustice, as well as the indirect relationship through perceived self-legitimacy.

This study used survey data collected from 1,944 police officers in a northern Chinese province. Structural equation modeling (SEM) was performed to assess the direct and indirect associations between technology utilization and external procedural injustice.

Technology efficacy was negatively associated with external procedural injustice and positively associated with both self-legitimacy and public-defined legitimacy. Furthermore, officers’ self-perceived legitimacy is negatively associated with their support for procedurally unjust behaviors, while officers’ perception of public-defined legitimacy, unexpectedly, is positively related to their endorsement of procedural injustice. Conversely, technology difficulty was positively related to external procedural injustice and negatively associated with public-defined legitimacy.

The present study represents a first attempt to link technology utilization to external procedural injustice in the policing literature. This study provides needed evidence to support the importance role of technology utilization in shaping police officers’ occupational attitudes toward themselves and the public in an authoritarian country.

This paper contends that data generated by research on supervision are often taken as authentic data. Through an examination of studies that use audio/visual recordings to investigate supervision, the paper both promotes and problematises the recording of supervision meetings as a useful technique for doctoral supervision research. This paper aims to encourage a critical evaluation of methodological choices in research on supervision, and both promotes and problematises the practice of recording supervision meetings to enhance nuance in research on supervision practices.

This paper reviews how prior studies have adopted different research methods to construct the space of supervision, and how the chosen methods have been justified. The paper draws on data from an empirical study which included interviews with supervisors in China, based on recordings of their supervision meetings.

Presenting a single case with one participant to explore the recording and interview process in detail, this study demonstrates how hearing the supervision meeting can present a multi-faceted picture of supervision practice. This multi-faceted picture underpins the alternative understanding of authentic data that this study unpacks.

Drawing on the tradition of poststructuralist critiques of traditional research methodology, this study is presented as a methodological paper, with a core aim of interrogating and problematising methodological decisions taken in studies of doctoral supervision. This study reviews research methods that were used in prior studies on supervision, investigating how the chosen methods were justified and how these methods affect the resultant construction of supervision.

This paper addresses the issue of internal spatial environmental pollution in non-blasting tunnel construction by proposing a comprehensive evaluation model. The model aims to provide a scientific basis for environmental pollution prevention in non-blasting tunnel construction, thereby facilitating green tunnel construction and sustainable development management.

The study firstly refines and constructs the evaluation index system from the perspective of pollution sources. A novel weight calculation method is introduced by integrating the analytic hierarchy process (AHP) with the ordered weighted averaging (OWA) operator, and a comprehensive evaluation model for internal environmental pollution in non-blasting tunnels is established by incorporating the grey clustering evaluation method. Finally, an empirical study is conducted using the Erbaoshan Tunnel as a case study to verify the feasibility and effectiveness of the model.

The study develops an evaluation system for internal environmental pollution in non-blasting tunnels and applies it to the Erbaoshan Tunnel. The results classify the pollution level as “general pollution,” confirming the rationality and applicability of the evaluation system and model while also identifying the primary pollution factors.

This study first developed a comprehensive evaluation system for environmental pollution in non-blasting tunnel construction from the pollution source perspective, making the system more comprehensive. Additionally, it innovatively combined AHP–OWA and gray clustering methods to scientifically assess pollution levels, providing valuable scientific guidance for the evaluation and management of non-blasting tunnels and similar underground projects.