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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.

The purpose of this paper is to examine the effect of workload on quantitative and qualitative job performance. Different levels of workload can affect performance of employees, and it is important for firms to assess the effect of this in order to improve capacity decisions. The literature is not entirely clear on the relationship and calls for further empirical evidence on that matter.

The study uses field data from a mid-sized grocery supplier. In total, 9,210 observations of 27 employees over three years and eight months are analyzed with different statistical models. Employees all work in the same department so that it is a very homogenous data set.

Results show that there is an inverted U-shape relationship between workload and performance. Output of employees increases up to a certain point after which it decreases. Similarly, the quality of performance is highest under moderate levels of workload, which provides evidence against a tradeoff between quantity and quality.

The study uses a unique set of data from one firm, which limits generalizability, but adds to an important stream of literature.

Results show how workload has a direct effect on performance. Consequently, firms need to balance the workload in order to be able to maximize the performance of their employees.

Despite the relevance of the topic, there is hardly any empirical evidence on the relationship between workload and performance. This study thus contributes to the management literature and provides significant evidence on an inverted U-shape between workload and quantitative performance.

The purpose of this study is to examine the impact of workloads at public accounting firms on the likelihood of an audit deficiency being identified during a triennial inspection by the Public Company Accounting Oversight Board (PCAOB).

Using the human resource information disclosed in PCAOB inspection reports, this study constructs two firm-specific workload measures: the ratio of issuer clients to audit partners; and the ratio of issuer clients to professional staff. Firm-level audit deficiency is measured at three levels of severity: Do any of the audit engagements inspected by the PCAOB reveal an audit deficiency? Are any of the identified audit deficiencies directly related to the auditors’ failure to identify a departure from GAAP in the client’s financial statement? Are any of the identified audit deficiencies associated with a significant adjustment or restatement in the client’s subsequent period financial statements? This study uses logistic regression to examine the association between audit deficiency and the workload of public accounting firms.

The empirical evidence suggests that the workload of public accounting firms is positively associated with the likelihood of a deficient audit, auditor’s failure to identify client’s GAAP departure and/or an audit deficiency resulting in a significant adjustment or even a restatement of the client’s financial statements in the subsequent period.

This study is among the first to investigate the impact of firm workload on deficient audits.

Work crew productivity and the application of limited resources are necessary elements in construction duration delay analysis. This study thus proposes a method to analyze construction delays and resource reallocation based on work crew productivity and resource constraints. The study also presents an economic feasibility analysis that maximizes economic effect by reducing construction duration, the cost of resource reallocation, delay liquidated damages (DLDs) and incentives for reducing contractual duration.

The proposed method involved three steps. First, work crew characteristics such as productivity, unit price and workload helped analyze delay information, including delay duration, reducible duration and daily reduced cost. Next, a goal programming method assessed resource reallocation based on the priority (as determined by decision-makers) of each constraint condition, such as the available number of workers, cost, goal workload and statutory working hours. Lastly, the level of reallocation was analyzed based on the results of the economic feasibility analysis and decision-makers’ delay attitudes.

A case study was performed to test the proposed method's applicability. Its involved sensitivity analysis indicated proposing to decision-makers a scenario based on the prioritization of economic feasibility. The proposed method's applicability proved high for decision-makers, as they can determine whether to reduce construction duration per the proposed data.

The proposed method's main contribution is the reallocation of resources to reduce construction duration based on work crew productivity and the prioritization of limited resources. The proposed method can analyze the differences in productivity between the plan and actual progress, as well as calculate the necessary number of workers. Decision-makers can then reduce the appropriate level of contractual duration based on their own delay attitude, constraint condition prioritization and results from daily economic feasibility analyses.

To provide a new model to solve the assembly‐planning problem of a textile machine in a shopfloor which can help researchers and practitioners.

The assembly planning of a textile machine (repetitive manufacturing system) involves the allocation of operations to cross‐trained operators. Workflow is defined as the workloads assigned to the operators. Operators with smaller workloads are selected to be assigned new operations from the list of unscheduled operations. Three different scheduling strategies – random, shortest processing time, and longest processing time – are adopted for the selection of operations to be assigned to operators. Different combinations of these strategies are considered for the selection of both preceding and succeeding operations. A computer simulation program has been coded on an IBM/PC‐compatible system in the C++ language to study the performance of real data from the shopfloor.

The relative percentage of imbalance is adopted for evaluating the performance of these heuristics. The RL, SL and LL produced well balanced workload schedules with lesser RPI values for all operators other than heuristics.

Non‐traditional approaches like genetic algorithms can be applied to determine the robustness of the results obtained by this research.

The experiments on simulated and real data clearly indicate that the order of succeeding operations determines the balanced workflows to the assembly of operations among the operators.

The allocation of assembly operations to the operators is modeled into a parallel machine‐scheduling problem with precedence constraints using the objective of minimizing the workflow among the operators.