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This study investigates when and for whom job crafting may turn into job quitting. The authors hypothesize that approach job crafting relates more positively to turnover intentions and subsequent voluntary job changes among employees with (a) high (vs low) need for career challenges and (b) those with high (vs low) self-esteem.

Data were collected from 575 employees of a large public organization in the Netherlands with two measurement moments three months apart. Hypotheses were tested using cross-lagged regression analyses and path modeling.

Supporting the hypotheses, approach crafting related positively to an increase in turnover intentions only among employees with high need for challenge or high self-esteem. Moreover, via turnover intentions at Time 1, approach crafting related positively to the voluntary job change at Time 2 for employees with (a) high need for challenge, as well as those with (b) high self-esteem. These findings held after controlling for avoidance crafting.

This study has been conducted in a relatively homogenous sample. Future research may test the predictions in a more heterogeneous sample, including participants from different cultural and economic contexts.

The authors advise human resource (HR) professionals to facilitate the job crafting efforts of employees with a high need for challenge and those with high self-esteem because these groups are particularly at risk of voluntarily quitting their jobs. Adopting insights from the wise proactivity model may help ensure that job crafting benefits both employees and employers.

This study brings clarity to the inconsistent relationships between job crafting and job quitting by using the wise proactivity model as an explanatory framework.

The paper follows Jason Cope's (2011) vision of a holistic perspective on the failure-based learning process. By analyzing the research since Cope's first attempt, which is often fragmentary in nature, and providing novel empirical insights, the paper aims to draw a new comprehensive picture of all five phases of entrepreneurial learning and their interplay.

The study features an interpretative phenomenological analysis of in-depth interviews with 18 failed entrepreneurs. Findings are presented and discussed in line with experiential learning theory and Cope's conceptual framework of five interrelated learning timeframes spanning from the descent into failure until re-emergence.

The study reveals different patterns of how entrepreneurs experience failure, ranging from abrupt to gradual descent paths, different management and coping behaviors, and varying learning effects depending on the new professional setting (entrepreneurial vs non-entrepreneurial). Analyzing the entrepreneurs' experiences throughout the process shows different paths and connections between individual phases. Findings indicate that the learning timeframes may overlap, appear in different orders, loop, or (partly) stay absent, indicating that the individual learning process is even more dynamic and heterogeneous than hitherto known.

The paper contributes to the field of entrepreneurial learning from failure, advancing Cope's seminal work on the learning process and -contents by providing novel empirical insights and discussing them in the light of recent scientific findings. Since entrepreneurial learning from failure is a complex and dynamic process, using a holistic lens in the analysis contributes to a better understanding of this phenomenon as an integrated whole.

The purpose of this research is to explore the utility of autonomous transport across two independent airframe maintenance operations at a single location.

This study leveraged discrete event simulation that encompassed real-world conditions on a United States Air Force flight line. Though the Theory of Constraints (TOC) lens, a high-demand, human-controlled delivery asset is analyzed and the impact of introducing an autonomous rover delivery vehicle is assessed. The authors’ simulations explored varying numbers and networks of rovers as alternative sources of delivery and evaluated these resources’ impact against current flight line operations.

This research indicates that the addition of five autonomous rovers can significantly reduce daily expediter delivery tasks, which results in additional expertise necessary to manage and execute flight line operations. The authors assert that this relief would translate into enhancements in aircraft mission capable rates, which could increase overall transport capacity and cascade into faster cargo delivery times, systemwide. By extension, the authors suggest overall inventory management could be improved through reduction in transportation shipping time variance, which enhances the Department of Defense’s overall supply chain resilience posture.

When compared against existing practices, this novel research provides insight into actual flight line movement and the potential benefits of an alternative autonomous delivery system. Additionally, the research measures the potential savings in the workforce and vehicle use that exceeds the cost of the rovers and their employment.

Pilot upgrade training is critical to aircraft and passenger safety. This study aims to identify variances in the US Air Force C-130J pilot upgrade training based on geographic location and provide a model to enhance policy that will impact future pilot training efforts that lower cost and increase operator quality and proficiency.

This research employed a mixed-method approach. First, the authors collected data and analyzed 90 C-130J pilots' aviation records and then contextualized this analysis with interviews of experts. Finally, the authors present a modified version of Six Sigma's define–measure–analyze–improve–control (DMAIC) that identifies and reduces the variances in C-130J pilot training, translating into higher quality outcomes.

The results indicate significant statistical variances across geographically separated C-130J pilot training organizations. This leads some organizations to have higher proficiency levels in specific tasks and others with comparative deficiencies. Additionally, the data analysis in this study enabled a recommended number of flight hours in several distinct categories that should be obtained before upgrading a pilot to aircraft commander to enhance standards.

This research was limited to C-130J pilot upgrades, but these results can be implemented within any field that utilizes hours as a measure of experience. Implications from this research can be employed to scope policy that will influence pilot training requirements across all airframes in civilian and military aviation.

This research proposes a process improvement methodology that could be immediately implemented within the C-130J community and, more importantly, in any upgrade training where humans advance into higher echelons of a profession.

The purpose of this study is to shed light on the determinants of TikTok cyberaddiction during the COVID-19 pandemic, as well as the resulting attitudinal and intentional reactions of users.

An online survey of 305 young TikTok users was conducted to test the research hypotheses. Data was analyzed through a partial least sqaures approach.

The results highlight the mediating role of cyberaddiction to TikTok in the relationship between psychological disorders (anxiety and loneliness) and attitude toward TikTok. Indeed, it was found that anxiety and loneliness contribute to TikTok cyberaddiction. The latter would have a positive effect on attitude toward TikTok, which decreases in the presence of fear of missing out (FOMO). It was also proven that attitude toward TikTok has a positive impact on attitude toward the brands promoted on this platform, resulting in an increase in purchasing intentions.

This study was conducted during the COVID-19 pandemic. It is therefore interesting to replicate it to see if the research model can be still validated in the absence of an emergency situation. Testing the model on a larger target, including older TikTok users, could also lead to interesting findings.

Knowledge of the psychological factors behind cyberaddiction should not be seen as an opportunity to take advantage from addicted shoppers’ vulnerability. Managers should rather limit communication campaigns on TikTok during crisis periods, undertake retargeting actions by sparing vulnerable TikTok users and avoid stimulating anxiety and loneliness which can lead to cyberaddiction and compulsive purchases.

This study sheds light on the central role of cyberaddiction to TikTok in the relationship between psychological disorders and users’ reactions, during a pandemic. It focused on the moderating role of FOMO on the relationship between determinants of cyberaddiction and attitude toward TikTok. Escape theory and attachment theory were used and adapted to the context of social media.

El propósito de este estudio es arrojar luz sobre los determinantes de la ciberadicción a TikTok durante la pandemia de Covid-19, así como las reacciones actitudinales e intencionales resultantes de los usuarios.

Se realizó una encuesta en línea a 305 jóvenes usuarios de TikTok para probar las hipótesis de investigación. Los datos fueron analizados a través de un enfoque PLS.

Los resultados destacan el papel mediador de la ciberadicción a TikTok en la relación entre trastornos psicológicos (ansiedad y soledad) y la actitud hacia TikTok. De hecho, se encontró que la ansiedad y la soledad contribuyen a la ciberadicción a TikTok. Esta última tendría un efecto positivo en la actitud hacia TikTok, que disminuye en presencia del miedo a perderse algo (FOMO, por sus siglas en inglés). También se demostró que la actitud hacia TikTok tiene un impacto positivo en la actitud hacia las marcas promocionadas en esta plataforma, lo que resulta en un aumento en las intenciones de compra.

Este estudio arroja luz sobre el papel central de la ciberadicción a TikTok en la relación entre trastornos psicológicos y reacciones de los usuarios, durante una pandemia. Se centró en el papel moderador del FOMO en la relación entre determinantes de la ciberadicción y la actitud hacia TikTok. Se utilizaron y adaptaron la Teoría del Escape y la Teoría del Apego al contexto de las redes sociales.

Este estudio se llevó a cabo durante la pandemia de Covid-19. Por lo tanto, sería interesante replicarlo para ver si el modelo de investigación aún puede ser validado en ausencia de una situación de emergencia. Probar el modelo en un público objetivo más amplio, que incluya a usuarios mayores de TikTok, también podría conducir a hallazgos interesantes.

El conocimiento de los factores psicológicos detrás de la ciberadicción no debe verse como una oportunidad para aprovechar la vulnerabilidad de los compradores adictos. Los gerentes deberían más bien limitar las campañas de comunicación en TikTok durante los períodos de crisis, emprender acciones de retargeting evitando a los usuarios vulnerables de TikTok y evitar estimular la ansiedad y la soledad que pueden llevar a la ciberadicción y a compras compulsivas.

本研究旨在探索COVID-19大流行期间TikTok网络成瘾的决定因素, 以及用户的态度和意图反馈。

为了验证研究假设, 本研究对305位年轻的TikTok用户进行了在线调查, 并使用PLS方法对数据进行了分析。

研究结果凸显了在COVID-19大流行期间, TikTok网络成瘾与心理障碍（焦虑和孤独）之间的中介作用。实际上, 研究发现焦虑和孤独可能会促成TikTok网络成瘾的发展。而TikTok网络成瘾则可能在一定程度上改善对TikTok的态度, 减轻错失恐惧。研究还表明, 对TikTok的态度对该平台推广的品牌态度产生积极影响, 进而增加了购买意图。

这项研究详细探讨了COVID-19大流行期间TikTok网络成瘾的核心作用, 特别关注了心理障碍与用户反应之间的关系。重点分析了逃避理论和依恋理论在社交媒体环境下的应用, 并对错失恐惧在网络成瘾和对TikTok态度之间的调节作用进行了调查和分析。

这项研究是在COVID-19大流行期间进行的, 因此复制它以验证研究模型在紧急情况缺失的情况下是否仍然有效是很有趣的。将这个模型应用于更广泛的对象, 包括年长的TikTok用户, 可能会带来一些有趣的发现。

了解网络成瘾背后的心理因素是非常重要的, 但不应被视为利用沉迷购物者的脆弱性的机会。在危机期间, 管理者应该限制在TikTok上的传播活动, 以避免刺激焦虑和孤独, 保护那些脆弱的TikTok用户, 防止他们沉迷于平台并进行强迫性购物。

This paper aims to present a new survey data set of 9,065 private sector respondents and other stakeholder groups, in Myanmar. The primary aim of this paper is to offer new insight avenues on local business–conflict–development interactions, and offer the full survey data set itself as an open-source research tool for scholars and practitioners.

The survey was conducted over smartphone in 2018. It asked questions that aimed to better understand the relationships between business, ethnic conflict, investment, corporate social responsibility and the United Nations sustainable development goals in Myanmar and in Rakhine State in particular.

The data set captures a series of significant differences in corporate leadership perspectives on the role of business in society, across sectors (e.g. banking, agriculture, retail, manufacturing, extractives) and variations across firm country of ownership (e.g. national firms, Global North firms, Indian firms, Chinese firms).

The authors conclude with a brief discussion of possible research findings from the survey, offering suggestions for possible forward analysis. The authors offer here the raw survey data as an attachment for full global open-source use and application.

This data set offers a unique window into stakeholder perceptions and understandings of working through conflict, and the role of business in development in a fragile conflict-affected state (Myanmar). The authors also conduct two example analyses of the data set using ANOVA and Kruskal–Wallis tests to illustrate possible uses and findings of the data set.

The authors briefly discuss social implications as well, particularly regarding the role of business in peacebuilding and development.

This data set offers a unique window into stakeholder perceptions and understandings of working through conflict, and the role of business in development in a fragile conflict-affected state (Myanmar). The authors also conduct two example analyses of the data set using ANOVA and Kruskal–Wallis tests to illustrate possible uses and findings of the data set.

The paper aims to solve the problem of personnel intrusion identification within the limits of high-speed railways. It adopts the fusion method of millimeter wave radar and camera to improve the accuracy of object recognition in dark and harsh weather conditions.

This paper adopts the fusion strategy of radar and camera linkage to achieve focus amplification of long-distance targets and solves the problem of low illumination by laser light filling of the focus point. In order to improve the recognition effect, this paper adopts the YOLOv8 algorithm for multi-scale target recognition. In addition, for the image distortion caused by bad weather, this paper proposes a linkage and tracking fusion strategy to output the correct alarm results.

Simulated intrusion tests show that the proposed method can effectively detect human intrusion within 0–200 m during the day and night in sunny weather and can achieve more than 80% recognition accuracy for extreme severe weather conditions.

(1) The authors propose a personnel intrusion monitoring scheme based on the fusion of millimeter wave radar and camera, achieving all-weather intrusion monitoring; (2) The authors propose a new multi-level fusion algorithm based on linkage and tracking to achieve intrusion target monitoring under adverse weather conditions; (3) The authors have conducted a large number of innovative simulation experiments to verify the effectiveness of the method proposed in this article.