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Periodic economic instabilities and structural changes in the labour market have given rise to a variety of forms of job insecurity. This article compares the scarring effects of different forms of job insecurity on future employment chances, and how they vary across education groups.

Using a sample of real vacancies and data collected in a vignette experiment with employers in Switzerland, a country with a strongly developed vocational education and training (VET) system, this article investigates how employers evaluate a period of unemployment, job hopping and work experience in deskilling jobs when hiring candidates.

The findings reveal that work in deskilling jobs is by far more scarring than unemployment or job hopping. The study also demonstrates that applicants with upper secondary vocational education are impacted the greatest by all three forms of job insecurity.

The study makes use of real vacancies. While experiments have the strength of high internal validity, most experimental studies in recruitment research rely on students as respondents. As this study works with real employers hiring for positions it benefits from high external validity.

By reviewing the literature, this paper explores the current priorities and future directions of alliance post-formation dynamics research.

This paper collects and analyzes empirical studies on alliance post-formation dynamics that were published between 1990 and 2021.

Current research on alliance post-formation dynamics can be structured as antecedents and outcomes of dynamics and their moderating effects. Among these topics, antecedents of dynamics have been addressed in a large body of research encompassing diverse theoretical mechanisms and levels of analysis. However, there remain debates regarding the outcomes of alliances post-formation dynamics.

First, this paper enriches the theoretical plurality of the field by integrating the antecedents and outcomes of dynamics and their moderating effects. Second, this paper proposes a new scholarly perspective – “alliance dynamic capabilities” – to address the “disruption vs adaption” debates regarding the outcomes of alliance post-formation dynamics in current research. Third, this paper presents several promising future research directions with the aim to advancing the literature on alliance post-formation dynamics.

Prevalence of vitamin D insufficiency among young Qatari women is ∼85%. The purpose of the study was to develop a food frequency questionnaire (FFQ) and to assess the degree of agreement between food vitamin D intakes derived from FFQ and 24-h food recall (24HFR) in young Qatari women.

A vitamin D-centric, 40-item FFQ was developed based on foods consumed in Qatar. In total, 36 Qatari women provided food intakes using FFQ and 24HFR. Vitamin D contents of foods reported in FFQ and 24HFR were computed. Spearman rank correlation was used to evaluate the relation between vitamin D intakes of FFQ and 24HFR. Bland–Altman (BA) plot and quartile comparisons were performed to determine the degree of agreement between food intakes of FFQ and 24HFR.

Median intakes of vitamin D from FFQ were significantly higher compared to the vitamin D content from 24HFR (213 IU vs 126 IU; p < 0.008). Vitamin D intakes were lower with 24HFR when compared with the intakes of FFQ. There was no significant relationship between food vitamin D intake from FFQ and 24HFR (Spearman rho = 0.16; p < 0.35). In cross classification, ∼64% were assigned to the same or adjacent quartiles. As per BA plot, more than 95% food intakes were within the limits of agreement (LOA) (BA index, 2.8%).

There was a moderate agreement between vitamin D intakes and FFQ and 24HFR. 24HFR should be used with caution in assessing the habitual food vitamin D intake because of limited sources of the vitamer in Qatari cuisine. The FFQ is suitable for estimating the food vitamin D intake in young Qatari women.

The size of the aircraft tooling structure is huge, and the ambient temperature is difficult to maintain a constant state. Aiming at the influence of current temperature, this paper aims to propose a compensation method for registration error of large-scale measurement fields based on multi-temperature sensors.

In this method, an enhanced reference points (ERS)–temperature regression model is constructed from ERS and temperature data. The ERS offsets compensation model is established by solving the offset through the regression model, and the ERS offset compensation analysis is carried out.

The experimental results show that the proposed registration error compensation algorithm has obvious advantages over traditional methods in reducing the influence of ambient temperature and improving the measurement accuracy by reducing the registration error.

This method reduces registration error caused by the influence of ambient temperature and is used for aircraft measurements in different temperature environments.

Large size of aircraft assembly tooling structure and complex measurement environment exist. The laid enhanced reference points (ERS) are subject to a combination of nonuniform temperature fields and measurement errors, resulting in increased measurement registration errors. In view of the nonuniform temperature field and measurement errors affecting the ERS point registration problem, the purpose of this paper is to propose a neural network-based ERS point registration compensation method for large-size measurement fields under a nonuniform temperature field.

The approach is to collect ERS point information and temperature data, normalize the collected data to complete the data structure design and complete the construction of the neural network prediction model by data training. The data learning is performed to complete the prediction model construction, and the prediction model is used to complete the compensation analysis of ERS points. Finally, the algorithm is verified through experiments and engineering practice.

Experimental results show that the proposed neural network-based ERS point prediction and compensation method for nonuniform temperature fields effectively predicts ERS point deformation under nonuniform temperature fields compared with the conventional method. After the compensation analysis, the registration error is effectively reduced to improve registration accuracy. Reducing the combined effect of environmental nonuniform temperature field and measurement error has apparent advantages.

The method reduces the registration error caused by combining a nonuniform temperature field and measurement error. It can be used for aircraft assembly site prediction and registration error compensation analysis, which is essential to improve measurement accuracy further.

Based on the resource conservation theory, this research paper aims to evaluate the positive impact of customer orientation on frontline employees' emotional exhaustion and the moderating effects of customer incivility and supervisor monitoring.

Two-wave data from 484 frontline employees in power supply business halls were analyzed. This study used AMOS 23.0, SPSS22.0 and PROCESS macro for data statistics and analysis.

Our empirical research demonstrates that customer orientation has a significant positive impact on frontline employees' emotional exhaustion. At the same time, supervisor monitoring moderates the relationship between customer orientation and emotional exhaustion. The higher the interactional or observational monitoring, the stronger customer orientation's effect on frontline employees' emotional exhaustion. Moreover, a three-way interaction model exists between customer orientation, customer incivility and supervisor monitoring.

This study yields practical implications for helping the frontline employees of service-oriented organizations alleviate multiple interpersonal workplace pressures.

Based on resource conservation theory, this paper used a novel approach to focus on customer orientation, customer incivility and supervisor monitoring as interpersonal stressors.

The purpose of this paper is to compare the pricing decisions and earning potential of the software supplier and the smart device manufacturer in different software promotion strategies.

Based on game theory, the authors formulate two promotion models, that is, the supplier implements software promotion activities individually (SP model) or outsources the promotion activity to the manufacturer under profit-sharing contract (MP model) when taking different channel power structures into consideration. Besides, in order to test the robustness of the conclusions, the authors also extend the basic model to the following situations: (1) the customers have different price elasticity toward service fee and product price; (2) the revenue sharing contract is employed by the supply chain members; and (3) the manufacturer's product promotion practice is taken into consideration.

The optimal service fee (product price) of the supplier (manufacturer) under SP model is always lower (higher) than that under MP model. Surprisingly, if the supplier is the channel leader and the profit sharing ratio exceeds certain threshold, the manufacturer's profit decreases in profit sharing ratio, which remains robust in three extension models. Moreover, the supply chain's profit in supplier-led game is always lower than that in Nash game irrespective of the promotion strategy in profit sharing context. When revenue sharing contract is adopted, the result holds only when the revenue sharing ratio is relatively low.

The authors originally explore two promotion strategies of the software supplier when taking the channel power structures into considerations, which has not been explored in the literature to the best of the authors' knowledge.

Considering the substantial benefits derived from the use of Building Information Modeling (BIM) in construction projects, governments and its related sectors have introduced mandatory policies requiring the use of BIM. However, little is known about the impact of mandatory policies on BIM-based project performance. Therefore, the purpose of this paper is to provide a systematical understanding on the impact of policy interventions on the implementation practice of innovative technologies.

This paper utilizes the propensity score matching and difference in differences (PSM-DID) method to investigate the impact of policy interventions on BIM-based project performance. Using the panel data collected from 2015 to 2021 in the Hong Kong construction industry, this paper explores the impact of the first mandatory BIM policy on the BIM-based project performance of three key stakeholders.

The subjective BIM performance and BIM return on investment (ROI) have significantly improved after implementing the mandatory BIM policy. The promotion effect of mandatory BIM policy on BIM-based project performance gradually increases over time. Moreover, the promotion effect of mandatory BIM policy on BIM performance shows significant heterogeneity for different stakeholders and organizations of different sizes.

This study examined the impact of policy interventions on BIM-based project performance. The research findings can provide a holistic understanding of the potential implications of innovative mandatory policy in performance improvement and offer some constructive suggestions to policymakers and industry practitioners to promote the penetration of BIM in the construction industry.

The purpose of this paper is to understand how external and internal drivers influence the implementation of the environment management system by selected local councils in Malaysia from the institutional theory and national culture perspectives.

This research used a multiple case study approach focusing on three selected Malaysian local councils. The data collection method included semi-structured interviews with officers directly involved in the environment management system implementation.

Organizations are more influenced by external rather than internal drivers in implementing the environment management system, and dominated by the normative pressure. This study offers insights into the effectiveness of the identified drivers in the environment management system implementation process, by relating to the type of conformance, either by “compliance” or “convergence.”

This study demonstrates the effect of national culture on the isomorphic influences of the internal and external motivations by local councils to implement the environment management system, namely, large power distance, collectivism, short-term normative orientation, masculinity and uncertainty avoidance.

The outcomes can be useful to managers of local councils with responsibilities for environmental decision making.

Institutional theory and national culture values are used successfully to explain the implementation of the environment management system in the three selected Malaysian councils in this study, in line with the public sector reform agenda undertaken by the Malaysian Government.