Abouzar Jafari;Meysam Beheshti;Amir Ali Shahmansouri;Habib Akbarzadeh Bengar
Steel and Composite Structures
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v.48
no.4
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pp.367-383
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2023
A coupled wall consists of two or more reinforced concrete (RC) shear walls (SWs) connected by RC coupling beams (CBs) or steel CBs (hybrid-coupled walls). To fill the gap in the literature on the plastic hinge length of coupled walls, including coupled and hybrid-coupled shear walls, a parametric study using experimentally validated numerical models was conducted considering the axial stress ratio (ASR) and coupling ratio (CR) as the study variables. A total of sixty numerical models, including both coupled and hybrid-coupled SWs, have been developed by varying the ASR and CR within the ranges of 0.027-0.25 and 0.2-0.5, respectively. A detailed analysis was conducted in order to estimate the ultimate drift, ultimate capacity, curvature profile, yielding height, and plastic hinge length of the models. Compared to hybrid-coupled SWs, coupled SWs possess a relatively higher capacity and curvature. Moreover, increasing the ASR changes the walls' behavior to a column-like member which decreases the walls' ultimate drift, ductility, curvature, and plastic hinge length. Increasing the CR of the coupled SWs increases the walls' capacity and the risk of abrupt shear failure but decreases the walls' ductility, ultimate drift and plastic hinge length. However, CR has a negligible effect on hybrid-coupled walls' ultimate drift and moment, curvature profile, yielding height and plastic hinge length. Lastly, using the obtained results two equations were derived as a function of CR and ASR for calculating the plastic hinge length of coupled and hybrid-coupled SWs.
Purpose - There is a paucity of literature dealing with exporters' compliance issues in e-commerce exports. This study aims to fill this gap in the literature by exploring customs initiatives to facilitate the e-commerce exports of small and medium-sized enterprises (SMEs) in the changed compliance environment. The central question of this study was divided into five subquestions: first regarding the pros and cons of trade facilitation measures for Korean e-commerce export clearance; second and third questions about risk and compliance management for facilitation fourth about instruments, the changes in Korean SME compliance burden in e-commerce exports, and ways to improve trade facilitation for e-commerce exports. Design/methodology - This study adopts a qualitative approach using a case study method to understand the SME experience in Korean e-commerce export compliance procedures. A qualitative method was selected to answer research questions requiring an in-depth understanding of the regulatory procedures of customs administration and exporters' compliance burden. Because this study addresses the changing compliance environment for which statistical data is insufficient, a quantitative method is considered inappropriate. Based on the approach, data were collected using multiple sources, including an extensive literature review, interviews, and field observations. Thematic pattern matching was applied to interpret the data. Findings - This study examined ways to support SMEs in the changed e-commerce export compliance environment. Facilitation measures for e-commerce exports have contributed to SME access to global markets, simplifying export clearance procedures, and saving exporters' compliance costs. However, such instruments are limited in promoting SME compliance capabilities to cope with intensified competition and strengthened controls over foreign exporters in cross-border e-commerce. Therefore, this study highlights the importance of reshaping facilitation measures for e-commerce exports based on risk and compliance management theories to a system encouraging exporters' voluntary compliance. Originality/value - This study's academic significance derives from verifying the relationship between trade facilitation instruments and risk and compliance management procedures using an actual case in Korea. It is also of practical importance in navigating the directions for improving facilitation measures for e-commerce exports in a changed compliance environment.
Purpose - Based on the relevant panel data for China and 13 of the RCEP countries from 2008-2019, this paper conducts an in-depth study on the impact of trade facilitation levels on China's cross-border e-commerce exports using the expanded trade gravity model. Design/methodology - This study constructs a trade facilitation index (TFI) system, and uses the principal component analysis method to measure the trade facilitation levels of RCEP countries in 2008-2019. This result is then introduced into the extended gravity model to explore the effect of trade facilitation in RCEP countries on China's cross-border e-commerce export. Findings - It is found that the overall trade facilitation level has a significant effect on China's cross-border e-commerce exports. Among the primary indicators, with the exception of infrastructure, the other four indicators demonstrate a significant impact. The findings show that China should strengthen its cooperation with RCEP countries in trade facilitation and cross-border e-commerce to better achieve complementary regional economic development. Originality/value - This paper has three contributions: first, this paper builds a TFI system that includes five primary indicators based on the characteristics of cross-border e-commerce. Second, we explore the impact of trade facilitation levels of RCEP countries on China's cross-border e-commerce exports, which helps to fill the gap in existing studies of the impact of cross-border e-commerce exports. Third, this paper further analyzes the impact of five primary indicators on cross-border e-commerce exports; this thus provides more targeted measures to improve trade facilitation levels.
Purpose: Little information has been published regarding minor burn injuries in infants, most of which are preventable. To fill this research gap, this study explored the patterns and mechanisms of burn injuries in infants to ascertain whether such incidents can be prevented. Methods: This was a retrospective study, based on data collected prospectively from all infants (<12 months old) admitted to our hospital with burns in the four-year period between January 1, 2015 and December 31, 2018. A medical record review provided basic demographic information, such as age at the time of injury, sex, cause of injury, duration of treatment, operative treatment, and the extent and type of burn, as well as the anatomical region involved. Results: Fifty-seven infants were diagnosed with burn injuries, with scalding being the most common type (47%), followed by contact (32%) and steam (14%). Seven infants of eight steam burn patients injured by pressure cooker. Superficial second degree was the most common depth of injury (72%) followed by first degree (17%) and deep second degree (8%). Average age per injury type was calculated by independent T-test. Average ages of patients with contact and steam burns were significantly lower (7.06 months; P=0.19) and higher (9.25 months; P=0.005), respectively, than for other burn types. Conclusion: Given that infants cannot control their body movements, talk, or manage by themselves, they are entirely dependent on the proper care of adults. Consequently, in addition to the prevention of burns, special care should be taken for the pressure cooker.
Based on the findings of Lee et al.(2020) and Lee & Oh(2021), this paper aims to fill the gap in our knowledge regarding the relationship between strategic choices and corporate growth by utilizing a novel dataset of 'Unicorn' and 'Hyper-growing' companies. Two previous studies provide coherent findings that the relationship between firms' strategies and their performance should be explored under a more comprehensive framework with consideration of both internal and external factors. Therefore, in this study, we apply a single conceptual framework to two different datasets, which considers the strategy factors as independent variables, and the industry(market) and the firm age as moderating variables. For our dependent variables, valuations for unicorn companies and revenue CAGR for hyper-growing companies are used after categorizing them into three uniform groups. The strategy variables include 'Generic (Cost-leadership, Differentiation, focus) strategies', 'Growth(Organic, M&A) strategies', 'Leading(Pioneer, Fast-follower) strategies', 'Target market(B2B, B2C, B2G, C2C) strategies', 'Global(Global, Local) strategies', 'Digital(Online, Offline) strategies.' For industry(market) factors, it consists of historical growth rate for industries and economic, demographic, and regulatory aspects of states and countries. To overcome the differences in their units, they are also uniformly categorized into multiple groups. Before we conduct a regression analysis, we analyze the industry distribution of the 'Unicorn' and the 'Hyper-growing' companies with descriptive statistics at the integrated and individual levels. Next, we employ hierarchical regression models on Study A('Unicorn' companies in 2019) and Study B('Hyper-growing' companies in 2019) under the same comprehensive framework. We then analyze the relationship between the 'strategy' and the 'performance' factors with two different approaches: 1) an integrated regression model with both the sample of Study A and B and 2) respective regression models on Study A and B. This empirical study aims to provide a complete understanding and a reference to which strategy factors should be considered to promote firms' scale-up and growth.
Nadiarti Nurdin Kadir;Aidah A. Ala Husain;Dody Priosambodo;Muhammad Jamal;Irmawati;Indrabayu;Abigail Mary Moore
Fisheries and Aquatic Sciences
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v.26
no.6
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pp.380-392
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2023
Groupers (Family Epinephelidae) are commonly caught in data-poor small-scale multi-species fisheries for sale on both export and domestic markets. This study presents data on the species composition and size/life-stage structure of Epinephelus spp. groupers caught by small-scale fishers and sold locally in the Indonesian province of South Sulawesi. Data were collected from fishing ports and local markets at 12 sites representing the three seaways around South Sulawesi (Makassar Strait, Flores Sea, Gulf of Bone). Each specimen (n = 3,398) was photographed alongside an object of known length, and total length (TL) was obtained using the Rapid Scaling on Object (RASIO). Of the 23 species identified, four (Epinephelus areolatus, Epinephelus ongus, Epinephelus quoyanus, and Epinephelus fasciatus) collectively comprised 69% of the catch, while the 13 least abundant species contributed less than 5%. The catch was dominated (67%) by the subadult life-stage, with just under 20% in the adult class. Juveniles dominated the catch of Epinephelus fuscoguttatus, a valuable export commodity. Observations of early maturity as well as the sizeable gap between length at first capture (Lc) and length at first maturity (Lm) indicate recruitment overfishing of most species, with the notable exception of Epinephelus rivulatus. The proportion of adult fish was low (≈5%-30%) for the twelve most abundant species (E. areolatus, E. ongus, Epinephelus quoyanus, E. fasciatus, Epinephelus coioides, Epinephelus faveatus, Epinephelus sexfasciatus, Epinephelus maculatus, Epinephelus bleekeri, Epinephelus corallicola, E. fuscoguttatus, Epinephelus polyphekadion). For two moderately abundant species (E. faveatus and E. malabaricus), TL < Lm for all specimens. The limited data available indicate spawning ratio is lower than reported from deep-water fisheries of E. areolatus and E. coioides. The results call for targeted research to fill knowledge gaps regarding the biology and ecology of groupers exploited mainly for domestic markets; highlight the need for species-level data to inform management policies such as minimum legal size regulations; and can contribute towards species-level status assessments.
Since the previous studies on the effects of trade liberalization implicitly assume that trade liberalization affects economic performance only in any point in time, they inevitably are static. Static evaluations fail to account for cumulative dynamic effects of trade liberalization that affect continuously economic performance. This paper tries to fill this gap of the previous studies in this field, estimating cumulative effects of trade liberalization on economic performance by employing an dynamic version of empirical model. One of important empirical issue is controlling bias from endogeneity. To resolve this problem, this paper employes system GMM that uses lagged first-differences as instruments for level equations and lagged levels as instruments for first-differences equations. It improves upon cross-section estimators because it controls for the potential bias induced by the omission of industry-specific effects and the endogeneity of all regressors. This study investigates the effects of trade liberalization in Korean manufacturing for the period from 1988 to 2005 and finds that cumulative dynamic effects of trade liberalization are present and bigger than static effects.
Although previous works have established that mood can considerably influence consumer behavior (Vohs et al. 2007), they provided inconsistent results (Cohen et al. 2008). In particular, previous works only examined the willingness of consumers to regulate their mood and implicitly assumed that consumers have the control to regulate their mood states. Thus, this research intends to fill the current gap in the extant literatures by investigating whether consumer locus of control (CLOC) can act as a moderator for mood effects on consumers' likelihood to purchase. In an experiment, participants' CLOC was initially measured. Afterwards, they watched different video clips to induce different mood states. Finally, participants rated their likelihood to purchase after seeing an advertisement. The results suggest that, in the positive mood, CLOC tendencies do not impact consumers' likelihood to purchase. However, in the negative mood, internal CLOC consumers show a higher likelihood to purchase than external CLOC consumers. This phenomenon occurs because consumers with high internal CLOC tendencies have the motivation to regulate their negative mood. These findings extend the extant literatures in four aspects. First, this paper shows that the CLOC tendencies could influence consumers' motivation to regulate their negative mood. Second, this research examines the moderating effect of CLOC in the relationship between mood and consumers' likelihood to purchase. Third, the results add further evidence regarding the role of negative mood in the self-regulation process. Finally, this research also shows that mood can unconsciously influence consumer behavior. This paper provides two managerial implications. First, marketers should consider the mood states and consumers' control tendencies in creating advertisements. Second, firms in retail or service business should aim to evoke a positive mood on consumers so that their CLOC tendencies would not influence their behaviors.
Journal of agricultural medicine and community health
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v.49
no.2
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pp.102-110
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2024
Objective: This study evaluated the health behavior level of urological cancer survivors after surgery. Understand the experience of change and identify the factors that affect it for health. Selection of the best intervention steps and effective intervention adopt a lifestyle. It is intended to contribute to the creation of basic data for development of guidelines. Methods: The study was conducted with patients diagnosed with urological cancer at a hospital in Seoul. Study data were obtained by having 100 patients who agreed to the study self-fill out a questionnaire through interviews, and the 2018 World Cancer Research Fund and American Institute for Cancer Research Score (2018 WCRF/AICR SCORE) was used to estimate the level of health behavior. Results: The study examines health behavior among urolgical cancer survivors based on the 2018 WCRF/AICR SCORE. Higher household income and younger age were associated with better health behavior scores, with those under 60 and earning over 3 million won being more likely to have higher scores. Conclusion: Based on these results, this study requires comprehensive data collection considering the missing variables, suggesting that high household income and young age can positively affect healthy behavior. In addition, we conclude that education for cancer survivors and development of strategies to bridge the health gap for low-income and elderly populations are necessary.
Applying predictive analytics to enterprise processes is an effective way to reduce operation costs and enhance productivity. Accordingly, the ability to predict business processes and performance indicators are regarded as a core capability. Recently, several works have predicted processes using deep learning in the form of recurrent neural networks (RNN). In particular, the approach of predicting the next step of activity using static or dynamic RNN has excellent results. However, few studies have given attention to applying deep learning in the form of dynamic RNN to predictions of process performance indicators. To fill this knowledge gap, the study developed an approach to using process mining and dynamic RNN. By utilizing actual data from a large domestic company, it has applied the suggested approach in estimating timely stocking in purchasing process, which is an important indicator of the process. The analytic methods and results of this study were presented and some implications and limitations are also discussed.
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