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In this chapter, we review empirical research evidence on the relationship between stressors and catecholamines (i.e., adrenaline and noradrenaline) and cortisol. With respect to acute stressors, both laboratory and field research have shown that the exposure to stressors leads to an increase in catecholamine and cortisol levels. With respect to more chronic stressors, research evidence is less consistent. Chronic mental workload was found to be related to elevated adrenaline levels. With respect to cortisol responses the interaction between workload and other variables seems to play a role. Empirical studies suggest that chronic stressors affect the responsivity to acute stressors. Research showed that after the exposure to stressors catecholamine and cortisol recovery is delayed.

This chapter discusses hurdles posed to a medium-sized public university library in the Midwest when they were asked by their Dean to create a faculty workload worksheet, rationale, and ultimately a set of guidelines. Faculty in other departments compute their loads using formulas based on course loads. How many hours they spend in the classroom, and how many hours they spend preparing for that time in the classroom are factored into the course loads expected for a full teaching load, with release granted in course load equivalents for research and/or service. Because librarian work does not typically involve teaching credit-bearing courses, a major challenge to constructing guidelines is equating library work with course loads. Calculating faculty workload for librarians commensurate with other faculty on campus is often complicated. To all of these challenges add the unique issues that are faced by the technical services (TS) librarian. TS work supports instruction and research but may involve little classroom contact with students, so it has even less resemblance to classroom instruction than other librarian work has. TS librarians spend their time in a wide variety of tasks. Exactly how to formulate this time in accordance with the rules for other departmental faculty is a challenge. The specific situation at this university added more complications as there was also a campus-wide mandate to ensure all workload policies are consistent and equitable.

The authors examine the association between two important audit partner characteristics and the readability of key audit matters (KAMs) disclosed in the audit reports. Specifically, the authors examine how the readability of KAMs is associated with audit partner tenure and workload.

The authors conduct the study in the audit context of Norway and applied the Flesch reading ease scale to measure the readability levels of reported KAMs in the audit reports of companies listed on the Oslo Stock Exchange. Panel data estimation techniques are applied in estimating how partner tenure and workload are associated with the readability of KAMs. In addition, several robustness tests including different measures of KAMs readability and subsample analyses are performed.

The authors find that audit partner tenure and workload have significant associations with the level of KAMs readability. Specifically, the results show that the reported KAMs become more readable as the audit partner tenure increases but are less readable for partners with more workload. These results appear stronger in subsamples of KAMs typically noted to be more complex and associated with higher risks.

As KAMs represent the most significant issues in financial statements audit, these results provide important insights to stakeholders on the potential impact of audit partner tenure and workload on KAMs readability. Less readable KAMs could derail stakeholders' desire to bridge the information gap between auditors and users of the audit report. The uniqueness of this study lies in its focus on audit partner characteristics as opposed to the audit firm.

Excessive audit partner workload impairs KAMs readability.

As KAMs represent the most significant issues in financial statements audit, these results provide important insights to stakeholders on the potential impact of audit partner tenure and workload on KAMs readability. Less readable KAMs could derail stakeholders' desire to bridge the information gap between auditors and users of the audit report. The uniqueness of this study lies in its focus on audit partner characteristics as opposed to the audit firm.

Deep learning techniques are unavoidable in a variety of domains such as health care, computer vision, cyber-security and so on. These algorithms demand high data transfers but require bottlenecks in achieving the high speed and low latency synchronization while being implemented in the real hardware architectures. Though direct memory access controller (DMAC) has gained a brighter light of research for achieving bulk data transfers, existing direct memory access (DMA) systems continue to face the challenges of achieving high-speed communication. The purpose of this study is to develop an adaptive-configured DMA architecture for bulk data transfer with high throughput and less time-delayed computation.

The proposed methodology consists of a heterogeneous computing system integrated with specialized hardware and software. For the hardware, the authors propose an field programmable gate array (FPGA)-based DMAC, which transfers the data to the graphics processing unit (GPU) using PCI-Express. The workload characterization technique is designed using Python software and is implementable for the advanced risk machine Cortex architecture with a suitable communication interface. This module offloads the input streams of data to the FPGA and initiates the FPGA for the control flow of data to the GPU that can achieve efficient processing.

This paper presents an evaluation of a configurable workload-based DMA controller for collecting the data from the input devices and concurrently applying it to the GPU architecture, bypassing the hardware and software extraneous copies and bottlenecks via PCI Express. It also investigates the usage of adaptive DMA memory buffer allocation and workload characterization techniques. The proposed DMA architecture is compared with the other existing DMA architectures in which the performance of the proposed DMAC outperforms traditional DMA by achieving 96% throughput and 50% less latency synchronization.

The proposed gated recurrent unit has produced 95.6% accuracy in characterization of the workloads into heavy, medium and normal. The proposed model has outperformed the other algorithms and proves its strength for workload characterization.

A paradigm shift toward a corporate model of higher educational settings has led to complex and excess work demands, yet the potential long-run ramifications of work overload are still under-examined. Building the arguments on the “spiral of resource loss” corollary of the conservation of resources (COR) theory, the authors have bridged this gap by testing how work overload spills over into career resilience via reduced harmonious passion. In addition, the authors compare how the employees having standardized workloads differ in their harmonious passion and career resilience from those having excessive (non-standardized) workloads.

Through a longitudinal natural field experiment of 402 faculty members [N = 198 in the standardized group (optimal load) and N = 204 in the non-standardized group (overload)] working in higher educational institutions of Pakistan, data were collected in three waves (each six months apart). The group comparison, trend analysis and longitudinal mediation analysis done through SPSS and MPlus affirmed the hypothesized associations.

The results have shown that work overload impacts career resilience through the mediating role of harmonious passion. The faculty members in the standardized workload had more passion and career resilience as compared to the non-standardized workload group. In addition, these impacts intensified overtime for the overloaded faculty members while faculty members with optimal workload sustained their passion and resilience for the teaching profession.

Taking the COR perspective, this study sheds light on how faculty members' work overloads reduce their capability to retain their passion and resilience for teaching from a longitudinal and experimental perspective.

In order to fill the gap in theoretical and empirical knowledge about the characteristics of principal workload, the purpose of this paper is to explore the components of principal workload as well as its determinants and the coping strategies commonly used by principals to face this personal state.

Semi-structured interviews were conducted with 50 principals, all from the elementary and secondary educational systems of Israel. The analysis followed the principles of qualitative research.

Four subjectively held constructs of principal workload, main sources of this workload, and the key strategies used by principals to face this workload were found in this study.

It is recommended to strengthen school autonomy, increase the number of positions of middle management, prepare future principals for the heavy workload, and encourage supportive superiors who are sensitive to this issue.

This study fills the gap in theoretical knowledge concerning principal workload, assuming that the particular characteristics of the school organization have some unique impact on this personal state. It also enables us to identify the types of this personal state occurring in educational organizations from the subjective perspectives of school members and stakeholders, thereby broadening the understanding of employee workload in various settings, including educational arenas.

A human navigator attempts to handle the ship for safe navigation by judging navigational information on own ship’s condition, targets and current‐wind effects. He/she has the responsibility of human lives and the economic values to judge. The human navigator maintains high mental workload during the navigational watch keeping. Therefore, we need to develop a support system to reduce the mental workload with human‐system cooperation based on the navigator’s KANSEI, and we must research an index to assess the mental workload for the first step, as the research on the KANSEI of ship’s navigator is not yet available in the world. In addition we depend on the professional’s experience for the assessment. The purpose of this paper is to find characteristics of the mental workload using heart rate variability. The experiment is carried out in six types of sea area on the west side of Japan. The subject is the chief officer of a training ship at Kobe University.

Organizational change eliciting negative outcomes might play a role in the development of workplace bullying. The purpose of this paper is to examine the direct and the interaction effect of two particular negative outcomes of organizational change, such as high workload and job insecurity, on workplace bullying.

Participants in the study were 134 Italian workers who had just experienced an organizational change. A multiple regression analysis, using the stepwise method, was conducted to test for whether workload, job insecurity, and their interactions predicted workplace bullying.

Results show that high level of workload is related to workplace bullying; job insecurity is not directly related to workplace bullying; the interaction between high workload and job insecurity enhanced the risk for workplace bullying. In particular, when the level of job insecurity is high there is a stronger relationship between workload and bullying, compared to when the level of job insecurity is low.

The cross-sectional design applied does not allow inference on the causal relationships between the predictors and outcomes.

In order to decrease the occurrence of bullying, managers should avoid that employees experience high workload after organizational change by carefully designing the reengineering process. Additionally, they should try to reduce, as far as possible, employee perceptions of job insecurity.

The focus of the study is on the “survivors” after organizational change and on particular interaction of workplace bullying’s causes that could extremely enhance the risk of the phenomena.

Auditing studies have shifted the research focus from the audit firm level to the individual audit partner level in recent years. Motivated by the call from Lennox and Wu (2018) to explore the effect of audit partners’ characteristics on audit quality in the US, this study aims to develop a new measure of engagement partner workload (EPW), which includes both the size and number of clients audited to test the effect of EPW on audit quality. This study also examines the moderating effect of the partner firm size on audit quality.

To test the effect of the EPW on audit quality, this study runs multivariate regressions of EPW on each specific client’s discretionary accruals and audit report delays. This study also runs a logistic regression of EPW on clients’ probability of having small profit increases to meet performance benchmarks.

Results of the hypotheses show that partner workload is positively related to audit quality. The results indicate that partners with larger, but fewer, clients conduct higher quality audits. Further analysis indicates that the relationship between partner workload and audit quality only holds for partners from the non-Big 4 firms.

This study contributes to the literatures of both audit quality and audit partner characteristics, and the results complement initial research aimed at identifying US partner-related characteristics that influence audit quality.

The presentation of in-vehicle warnings information at risky driving scenarios is aimed to improve the collision avoidance ability of drivers. Existing studies have found that driver’s collision avoidance performance is affected by both warning information and driver’s workload. However, whether moderation and mediation effects exist among warning information, driver’s cognition, behavior and risky avoidance performance is unclear.

This purpose of this study is to examine whether the warning information type modifies the relationship between the forward collision risk and collision avoidance behavior. A driving simulator experiment was conducted with waring and command information.

Results of 30 participants indicated that command information improves collision avoidance behavior more than notification warning under the forward collision risky driving scenario. The primary reason for this is that collision avoidance behavior can be negatively affected by the forward collision risk. At the same time, command information can weaken this negative effect. Moreover, improved collision avoidance behavior can be achieved through increasing drivers’ mental workload.

The proposed model provides a comprehensive understanding of the factors influencing collision avoidance behavior, thus contributing to improved in-vehicle information system design.

The significant moderation effects evoke the fact that information types and mental workloads are critical in improving drivers’ collision avoidance ability. Through further calibration with larger sample size, the proposed structural model can be used to predict the effect of in-vehicle warnings in different risky driving scenarios.