Bomi Song

Supply networks are complex interorganizational systems in which structural prominence may have different associations with operational and financial outcomes. We examine 169 firm-year observations from 38 focal firms in 10 industries. The primary three-knot restricted cubic-spline models include industry and year indicators, firm-clustered small-sample inference, simultaneous derivative bands, revision-defined supplementary regional average-slope analyses, direct low-versus-high slope contrasts, and wild-cluster bootstrap checks. Some regional average slopes are positive, but none of the direct regional contrasts is significant, no centrality relationship is globally nonlinear, and none of the overall centrality tests reaches 0.05 under wild-cluster inference. The pooled inventory and OPR estimates shrink markedly in Mundlak/CRE and firm fixed-effects models; the ROA average derivative remains similar in magnitude but the joint spline terms are not significant. The evidence therefore does not establish that centrality associations differ across regions or that the underlying functions contain distinct regional transitions. Density has a positive linear inventory coefficient under the small-cluster test but not the wild-cluster test, and H3 is not supported as an overall density–ROA association. Because the retained analytic file lacks node identifiers, component membership, shipment frequency, and volume, focal-network overlap, directed or harmonic closeness, and alternative edge definitions cannot be reconstructed.

The e-commerce market is rapidly growing, driven by increased non-face-to-face services and digital convenience. However, the expansion of parcel deliveries has substantially increased packaging waste, raising environmental concerns. As ESG (environmental, social, and governance) considerations become critical for sustained competitiveness, eco-friendly packaging has emerged as an important issue in e-commerce logistics. While prior studies have examined consumer attitudes toward eco-friendly packaging, limited attention has been paid to how consumers evaluate and trade off delivery-related eco-friendly packaging attributes at the attribute level. To address this gap, this study applies Latent Dirichlet Allocation (LDA) topic modeling to news articles to identify socially salient eco-friendly packaging attributes and subsequently employs conjoint analysis to examine their relative importance based on consumer-stated preferences. The results indicate that delivery speed (27.2%), ease of recycling (20.2%), and price (19.4%) are the most influential attributes, suggesting that traditional delivery factors and eco-friendly considerations jointly shape consumer preferences in e-commerce delivery contexts. By disaggregating eco-friendly packaging into delivery-related attributes and empirically analyzing their relative importance and trade-offs, this study provides data-driven insights into consumer preference structures, contributing to the literature on sustainable consumption and e-commerce logistics.

Multiple seasonal patterns play a key role in time series forecasting, especially for business time series where seasonal effects are often dramatic. Previous approaches including Fourier decomposition, exponential smoothing, and seasonal autoregressive integrated moving average (SARIMA) models do not reflect the distinct characteristics of each period in seasonal patterns. We propose a mixed hierarchical seasonality (MHS) model. Intermediate parameters for each seasonal period are first estimated, and a mixture of intermediate parameters is taken. This results in a model that automatically learns the relative importance of each seasonality and addresses the interactions between them. The model is implemented with Stan, a probabilistic language, and was compared with three existing models on a real-world dataset of pallet transport from a logistic network. Our new model achieved considerable improvements in terms of out of sample prediction error (MAPE) and predictive density (ELPD) compared to complete pooling, Fourier decomposition, and SARIMA model.

[연구목적] 각국의 규제기관들은 회계감사시장이 소수의 감사인에게 집중되어 있는 상황에 대해 높은 관심을 보이고 있다. 감사시장의 집중도가 감사품질에 영향을 미칠 수가 있기 때문이다. 국내 선행연구는 허핀달지수로 측정한 감사시장의 집중도가 증가할수록 감사품질이 하락함을 보고한 바 있다. 본 연구에서는 감사위원회의 전문성이 이러한 감사시장의 집중도와 감사품질 간의 관계에 영향을 미치는지를 살펴본다. 전문성을 갖춘 감사위원회가 본래의 감시ㆍ감독 기능을 제대로 수행한다면, 감사시장의 집중도가 높아져도 과점 감사인의 감사업무를 소홀히 하는 성향이 억제되어 감사품질이 유지될 것으로 예측되기 때문이다. [연구방법] 본 연구는 2006년부터 2015년까지 유가증권시장에 상장된 기업 중 감사위원회 설치 기업을 대상으로 분석하였으며, 표본 수는 1,401개이다. 독립변수인 감사위원회의 재무전문성은 감사위원회 내 해당 전문가의 비율로 측정하였으며, 감사시장의 집중도는 총자산을 이용한 허핀달지수로 측정하였다. 종속변수인 감사품질은 성과조정 재량적 발생액(Kothari et al. 2005)의 절대값으로 측정하였다. [연구결과] 실증분석 결과 첫째, 감사시장의 집중도가 상승할수록 감사품질이 저하되는 것으로 나타났다. 둘째, 감사위원회가 재무전문성을 구성하는 세 가지 세부전문성 - 회계전문성, 금융전문성, 감독전문성 - 중 회계전문성을 보유한 경우에만 감사시장의 집중도가 높아지더라도 감사품질이 낮아지지 않는 것으로 나타났다. 이러한 발견은 감사위원회가 회계전문성을 보유한 경우 본연의 기능을 엄격하게 수행하여 감사인의 감사를 소홀히 하는 경향을 억제한다는 것을 보여준다. [연구의 시사점] 본 연구는 감사시장의 집중도를 고려하여 감사위원회의 전문성이 감사품질에 미치는 영향을 분석하였으며, 또한 감사위원회의 재무전문성을 세부적으로 구분하여 그 효과를 동시에 살펴보았다는 측면에서 공헌점이 있다.

In Southeast Asian cities, it is common for logistic companies to operate a heterogeneous fleet of delivery vehicles with motorcycles being the preferred vehicle to handle the final phase of delivery. In such scenarios, heterogeneous fleet vehicle routing problem (HFVRP) is generally applied to plan an optimal delivery. However, in many downtown cores of large and rapidly developing Southeast Asian cities, HFVRP is neither viable nor reliable because of road usage restrictions. The purpose of this article is to develop and test a different approach that accurately takes these restrictions into account and provides viable and more sustainable results. Restrictions in this paper refer to situations of urban areas in Vietnam where (i) certain vehicle types are prohibited in specified areas or where narrow alleyways limit the utilization of vehicles that exceed the road capacity and (ii) certain roads are exclusive to certain vehicle types. In networks, limited access and exclusive lanes are represented as links, or arcs, exclusive to one or another. Taking these limitations into consideration, we have developed a unique model, which we have termed Vehicle Routing Problem with Exclusive Links (VRP-EL). The model was validated and tested for its performance on scenarios with varying ratios of exclusive links. Scenarios up to 500 customers were tested on a meta-heuristic algorithm, simulated annealing. VRP-EL produces realistic outcomes. Limiting certain links to be selected according to vehicle types increases overall travel distance. However, this increase outweighs the cost of re-planning and rerouting had they not been constrained initially. The reduction in traveling distance leads to fossil fuel reduction for the overall system. The estimation of reduced carbon emissions through applying the proposed model is presented. Considering the severe traffic congestion and carbon emissions caused by motorcycles in Vietnam, the proposed model leads to a sustainable road environment.

With the strategic importance of discerning opportunities and threats from technological development to achieve sustainable competitiveness, exploring technological trends becomes critical for a successful technology strategy in logistics. Given the rapid pace of development and varying technological options, logistics also increasingly requires methodological support and appropriate data to reduce the complexity and burden of exploring technology trends. While previous research has largely relied on experts’ insights, the value of patent-based approaches for exploring technological trends has been underestimated in logistics. To address this gap, this study proposes a topic modeling-based approach using logistics-related patents registered at the United States Patents and Trademark Office (USPTO). The core of the suggested approach is latent Dirichlet allocation (LDA), allowing the identification of logistics-related technological topics behind patents. The topics identified by LDA are further investigated regarding both filed-level and firm-level trends. The suggested approach is expected to offer implications of the use of patents for the purpose of exploring the trends of technology development outside the organization in logistics. In addition, we believe that the information on the technological topics and their trends generated by the suggested approach can offer an enhanced understanding of the technological landscape in logistics.

Eco friendly management has received attention from business as an important competitive source. Thus, an emerging body of studies is interested in the implementation of green supply chain management (GSCM). Previous research in this field has acknowledged the importance of GSCM. However, the capability that enables a firm to successfully adopt GSCM is not well researched. This study empirically examines dynamic capability as an antecedent of GSCM, with the aim of proposing a causal relationship between dynamic capability and GSCM. The result of this study shows that implementing GSCM with dynamic capability enables a firm to achieve successful GSCM practices, and that this in turn leads to enhanced organizational performance.