본 연구는 기술 변화와 업무 환경의 불확실성으로 직무복잡성이 증가하는 상황에서, 직무복잡성이 직 무스트레스를 통해 이직의도로 이어지는지, 그리고 비공식학습의 인식된 교육효과가 이 관계에 어떠한 영향을 미치는지를 분석하고자 하였다. 이를 위해 인적자본기업패널(HCCP) Ⅱ WAVE 4차(2023) 자료 중 비공식학습 활동에 참여한 근로자 3,131명을 대상으로 관련 변인을 측정하고, SPSS 25.0과 PROCESS Macro(Model 4, 14)를 활용하여 매개효과와 조절된 매개효과를 검증하였다. 분석 결과, 직무복잡성은 이 직의도에 직접적으로는 부적 영향을 미쳤으나 직무스트레스를 매개로 할 때에는 정적 간접효과를 보여 상반된 경로가 확인되었다. 또한 동료·상사 코칭 및 멘토링, 지식·노하우 공유의 인식된 교육효과는 모두 직무스트레스와 이직의도 간 관계를 유의하게 조절하였으며, 인식된 교육효과가 평균 이상일 때 매개효 과가 강화되는 것으로 나타났다. 이러한 결과는 비공식학습이 직무자원으로 기능하는 동시에 상황적 조 건에 따라 이직의도를 높이는 요인이 될 가능성을 시사한다. 이론적으로는 직무특성과 학습자원의 상호 작용을 통해 직무태도가 형성되는 구조를 확인함으로써 직무요구-자원 모델을 확장하는 데 기여할 수 있으며, 실무적으로는 직무 복잡성과 스트레스 수준을 고려한 비공식학습의 설계 필요성을 제기한다는 점에서 의미를 갖는다.

엔트로피 지표(섀넌 엔트로피, 지니계수, 허시만-허핀달지수)와 경제복잡성 (ECI) 지표, 네트워크 분석을 활용하여 국내 반도체 산업의 구조를 실증적으로 분석하였다. 엔트로피 지표를 산업의 계열화/전문화와 연계하고 ECI와 엔트로피 지표의 특성을 상호보완 적으로 활용하는 새로운 접근을 시도하였다. 전국 단위로 반도체 산업 관련 업종에 해당하는 기업을 추출하여 기업 홈페이지 및 소개자료 등을 통해 반도체 산업 가치사슬 중 어느 부분에 해당하는지를 분류하는 작업을 실시하였으며, 최종적으로 2,957개 기업을 후공정, 전공정, 소재, 부품, 장비, 설계 기업으로 분류하여 특정하였다. 이 중 중 거래관계를 추출 가능한 1,212개 기업의 66,210개 거래관 계망 정보를 활용하여 실증 연구를 진행하였다. 국내 반도체 산업의 거래 네트워크는 무척도성, 작은세상 특성, 모듈성, 계층성을 모두 보이는 소수 핵심기업 중심 계열화된 네트워크였다. 국내 반도체 산업의 두 가지 구조변화 (2020년 거래관계망 계열화, 2023~2024년 복잡성지수 추세 반전)등을 식별할 수 있었다. 2018~2024기간 동안 국내 반도체 산업은 점차 전문화되는 추세였으나 2020년에 일시적 으로 계열화 추세를 보였다. 소·부·장 산업은 비교적 전문화되어 있고 전공정·설계는 계열 화되어 있었다. 광역지자체별로 살펴보면 경기·충남·충북 등 전통적 반도체 산업 중심 지의 계열화 수준이 높았으나, 경제복잡성 지수는 경남·부산에서 높게 나타났다. 경남·부산· 광주 등의 경제 복잡성 지수의 약진, 경기·충남·충북의 경제 복잡성 지수 부진은 2023~2024년에 두드러지게 나타났으며, 지역별 기업 영업이익률과도 양의 상관관계를 나타냈다. 2023년 이후 AI반도체, 전력반도체 육성정책과의 관련성에 대한 심층적인 분석이 필요하다. 최종적으로 비수도권 균형발전 관점 반도체 혁신정책의 효율성을 일정 부분 입증할 수 있었다.

This study investigates the impact of perpetual swaps on structural complexity and market efficiency within cryptocurrency markets. Utilizing 15-minute interval price data from 35 cryptocurrencies, we employ multifractal detrended fluctuation analysis (MF-DFA), Multifractal-based measure of the degree of market efficiency (MED), and Market deficiency measure (MDM) to comparatively evaluate market characteristics before and after the introduction of perpetual swaps. Our empirical analysis reveals a substantial decrease in multifractality and structural complexity across most cryptocurrencies post-introduction, particularly pronounced over longer horizons (4–6 months). This reduction indicates enhanced information dissemination and more efficient price formation mechanisms. Notably, Bitcoin (BTC), benefiting from superior liquidity and efficient information flow, exhibited relatively stable multifractal characteristics, although significant volatility driven by fat-tail distributions remained persistent. Statistically significant improvements in market efficiency were consistently demonstrated via paired t-tests, one-sided t-tests, and Wilcoxon non-parametric tests. These improvements were particularly salient during extended observation periods, providing robust empirical evidence that perpetual swaps markedly enhance market efficiency. Consequently, our findings highlight that the introduction of perpetual swaps contributes meaningfully to cryptocurrency market efficiency beyond mere liquidity enhancement, promoting more accurate price discovery and reducing informational asymmetries.

본 연구는 조직구성원이 인식하는 직무복잡성이 긴장, 피로를 매개로 직무만족 및 이직의도에 미치는 영향을 분석하는 것을 목적으로 한다. 특히, 직무복잡성이 이직의도에 미치는 영향에서 직무 스트레스 반응인 긴장, 피로의 양면적 경로를 확인하였다. 이를 위해 인적자본 기업패널조 사(Human Capital Corporate Panel; HCCP) 중 2023년 조사된 HCCP 3차 근로자 패널 데이터를 활용하여 9,512명의 직장인 설문 결과를 분석 하였다. 분석 결과, 직무복잡성으로 인해 발생 된 긴장은 직무만족을 통 해 이직의도를 낮추는 반면, 직무복잡성으로 인해 발생 된 피로는 직무 만족을 통해 이직의도를 높이는 상반된 결과를 보였다. 본 연구는 직렬 다중매개효과를 사용하여 직무복잡성과 긴장, 피로, 직무만족, 이직의도 간의 구조적 관계를 규명하였다는 점에 의의가 있다. 또한, 직무 복잡성 의 양면적 특성을 밝힘으로써, 조직구성원의 직무만족을 높이고 이직의 도를 감소시키기 위한 학문적·실무적 시사점을 제공하였다.

This study investigates the effect of machine translation (MT) use on the writing performance of Korean EFL students, focusing on complexity, accuracy, and fluency (CAF). Six participants completed a series of writing tasks in which they first translated their L1 writing into L2 manually and then used MT to revise their L2 drafts. This process was repeated across ten different writing topics. Participants’ drafts were analyzed using CAF measures to assess MT’s impact on their writing performance and observe changes over tasks. The results show that MT significantly improved accuracy and fluency. However, gains in syntactic and lexical complexity were less evident. While group-level analysis showed consistent progress, individual trajectories varied widely, indicating diverse patterns of development. Overall, the findings suggest that MT enhances writing accuracy and fluency among Korean EFL students, although its impact on syntactic and lexical complexity is limited. These results indicate that MT can serve as a valuable tool for self-directed learning, helping students independently improve their writing accuracy and fluency and develop essential self-editing skills. This study highlights the potential of MT as a supplementary tool to support EFL students’ writing development, along with traditional instruction.

This research focuses on teaching Arabic to Jewish students in Jerusalem, a city of significant cultural and religious importance for both Arabs and Jews, especially under the backdrop of the prolonged conflict between these communities. The study asserts that the political complexity inherent in this context gives rise to unique challenges in teaching Arabic in Jewish schools in Jerusalem, which is influenced by conflict and racism. These factors contribute to the formation of a psychological barrier within the Arabic educational process. The objective of the study is to provide a comprehensive overview of the status of Arabic teaching to Jews in Jerusalem, emphasizing the unique aspects of this case and addressing the challenges encountered in the process. The outcomes of this research showed that the demographic composition of Jerusalem, with concentrations of both Arabs and extremist Jews, contributes to the distinctive nature of this case compared to other Israeli-occupied cities. This demographic factor influences the goals of teaching Arabic to Jews in Jerusalem and, concurrently, intensifies the challenges faced in this educational process, setting it apart from similar endeavors in different locations.

The spread of COVID-19 changes consumer preferences and behaviors greatly across the world. Extant literature has demonstrated that when there is a threat to disease, people stay away from those who do not seem healthy as they can be potentially infectious. Based on the previous literature, this research shows that individuals exposed to disease threat avoid products of which designs are high in visual complexity. When disease threat was present, individuals had lower purchase intention for products with complex designs. The perceived uncleanliness mediated the effect of visual complexity and disease threat on purchase intention. The findings provide a novel insight into the effect of disease salience on consumer perception of product design.

This study explored how task complexity, writing behaviors (i.e., pausing and revision behaviors), and writing performance (i.e., task completion, coherence and cohesion, language use, and expression and tone) influence and relate to each other. Thirty advanced-level Korean EFL undergraduates completed writing tasks differing in complexity. A combination of keystroke logging and stimulated recall interview was employed. It was found that the simple task group showed a greater number of pauses and revisions related to lower-order writing processes, whereas the complex task group showed longer pauses related to higher-order writing processes. While task complexity had no influence on writing performance, writing behaviors revealed significant relationships with text quality. In the simple task group, pause length and revision were negatively related to writing scores, whereas pause frequency revealed mixed results. In the complex task group, consistent negative relations were found between pausing behaviors and text quality, and fewer revisions were related to better scores in expression and tone.

The Cognition Hypothesis postulates that more cognitively complex tasks can trigger more accurate and complex language production, thereby advancing second language (L2) development. However, few studies have directly examined the relationship between task manipulations and L2 development. To address this gap, this article reviews, via an analytic approach, nine empirical studies that investigated the impact of task complexity on L2 development in the domain of morphosyntax. The studies are categorized into two groups based on if they include learner-learner interaction or a focus on form (FonF) treatment provided by an expert interlocutor. The results indicate that the findings of the studies, albeit partially mixed, tend to support the predictions of the Cognition Hypothesis. More importantly, a further analysis reveals seven key methodological issues that need to be considered in future research: target linguistic domains, different types of FonF, the complexity of the target structure, task types, outcome measures, the use of introspective methods, and the need of more empirical studies and replicable study designs.