How Does Dynamic Capability Adjust Chinese Firms' Capabilities to Adapt to Environment Changes?

Chun Xia ZHANG,방호열 한국무역연구원 2023 무역연구 Vol.19 No.1

Purpose – In a constantly turbulent industry environment, companies seeking to survive or even maintain a competitive edge should be able to adapt their capabilities to respond to opportunities and challenges wherever and whenever they arise. This study proposes a research model based on previous research and attempts to illustrate the relationship between the frequency of utilization of the three components of dynamic capabilities and innovation capability and how environmental turbulence (i.e., the market, technology, and competitors) moderates the relationship between dynamic capabilities and innovation capability. Design/Methodology/Approach – The study sample comprises 256 Chinese companies, with longitudinal data spanning three years. Partial Least Squares-structural equation models (PLS-SEM) have been conducted to empirical data analysis. Findings – The findings suggest that the frequent utilization of sensing, seizing, and reconfiguring capabilities in a highly turbulent environment may have different degrees of impact on innovation capabilities. To cope with environmental turbulence, dynamic capabilities (i.e., sensing, seizing, and reconfiguring) should be carefully managed to enable capability alignment and ultimately enhance competitive advantage. Dynamic capabilities are valuable to organizations and even contribute to their ability to be innovative. Research Implications – Advancing from existing literature, this research contributes to extend knowledge about the dynamic capabilities and innovation capability, makes it necessary for organizations to use dynamic capabilities to effectively modify their approach to innovation in stable or turbulent environments.

Screening and Cloning of RAPD Markers from the W Chromosome of Silkworm, Bombyx mori L.

( Chun Xia Zhang ),( Qin Yao ),( Qing Gang Xu ),( Xu Dong Tang ),( Ke Ping Chen ) 한국잠사학회 2007 International Journal of Industrial Entomology Vol.8 No.2

Silkworms sex determination drew high attention from researchers. Sex chromosomes on the silkworm are of ZW type for females and ZZ type for males. Chromosome W plays an important role in sex determination. Although several molecular linkage maps have been constructed for silkworm, very few markers are discovered on the W chromosome. In order to look for molecular markers and to further locate the Fem gene on chromosome W, we used genomic DNA from both female and male larvae of a silkworm strain named 937 as PCR templates for RAPD amplification with 200 arbitrary 10-mer primers. The amplification results showed three female-specific bands, namely OPG-07(496), OPC-15(1,660) and OPE-18(1,279). Further verification, however, revealed no band from OPG-07 and OPC-15 in either sex in the strain 798, but OPE-18 provided female-specific band in the strains Suluan7 and C108, and absent in both males and strain 798. This indicates that the bands from OPG-07(496) and OPC-15(1,660) are probably female-specific in strain 937, and the band from OPE-18 was probably amplified from a common segment shared by most strains. The genomic DNAs from OPG-07 and OPC-15 were cloned and sequenced. Sequence analysis showed that the DNAs from OPG-07 and OPC-15 have high identities with the retrotransposable elements, and DNA from OPC-15 contains a portion of sequence which probably encodes an eukaryotic translation initiation factor 4E binding protein (eIF4EBP).

The Relationship between Dynamic Capabilities, Marketing Capabilities, and Environmental Turbulence: An Empirical Study from China

Chun Xia ZHANG,Ho Yeol BANG 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.12

This study proposes a model and attempts to illustrate the relationship between the frequency of dynamic capability utilization and marketing capabilities, and how market, technology, and competitor turbulence may affect these relationships. The findings suggest that in a highly turbulent environment, frequent use of sensing and integration capabilities may cause certain changes in the impact of marketing capabilities, and in a highly competitive environment, marketing capabilities are positively correlated with company performance. The sample consists of 212 enterprises of China with a three-year vertical data span. The partial least square program Smart-PLS was used for data analysis. The careful management of dynamic capabilities (i.e., relational, sensory, and inclusive) is required to address environmental conditions to achieve capacity alignment and ultimately enhance performance. Our findings demonstrate that relationship capabilities are valuable to the organization and might even help improve its sensing and integrating capabilities. In a highly competitive environment, marketing capabilities contribute the most to company performance. The more frequent the environmental turbulence, the higher the impact of integration capabilities on marketing capabilities. This situation necessitates the organization’s usage of dynamic capabilities to modify its marketing approach effectively between stable and turbulent environments.

PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection

Zhang, Chun-Xia,Zhang, Jiang-She,Kim, Sang-Woon Springer-Verlag 2016 COMPUTATIONAL STATISTICS Vol.31 No.4

<P>Variable selection has consistently been a hot topic in linear regression models, especially when facing with high-dimensional data. Variable ranking, an advanced form of selection, is actually more fundamental since selection can be realized by thresholding once the variables are ranked suitably. In recent years, ensemble learning has gained a significant interest in the context of variable selection due to its great potential to improve selection accuracy and to reduce the risk of falsely including some unimportant variables. Motivated by the widespread success of boosting algorithms, a novel ensemble method PBoostGA is developed in this paper to implement variable ranking and selection in linear regression models. In PBoostGA, a weight distribution is maintained over the training set and genetic algorithm is adopted as its base learner. Initially, equal weight is assigned to each instance. According to the weight updating and ensemble member generating mechanism like AdaBoost.RT, a series of slightly different importance measures are sequentially produced for each variable. Finally, the candidate variables are ordered in the light of the average importance measure and some significant variables are then selected by a thresholding rule. Both simulation results and a real data illustration show the effectiveness of PBoostGA in comparison with some existing counterparts. In particular, PBoostGA has stronger ability to exclude redundant variables.</P>

Studies of the microbial metabolism of flavonoids extracted from the leaves of Diospyros kaki by intestinal bacteria

Sheng-hai Zhang,Ying-zi Wang,Fan-yun Meng,You-lin Li,Cai-xia Li,Fei-peng Duan,Qing Wang,Xiu-ting Zhang,Chun-ni Zhang 대한약학회 2015 Archives of Pharmacal Research Vol.38 No.5

Flavonoid glycosides are metabolized byintestinal bacteria, giving rise to a wide range of phenolicacids that may exert systemic effects in the body. Themicrobial metabolism of flavonoids extracted from theleaves of Diospyros kaki (FLDK) by intestinal bacteria wasinvestigated in vitro. High-performance liquid chromatography/linear trap quadrupole orbitrap mass spectrometrywas performed to analyze the metabolites of flavonoidsin vivo using Xcalibur2.1 software. The results showed thatthe levels of flavonoid glycosides and flavonoid aglyconesdecreased rapidly in the process of microbial metabolismby intestinal bacteria in vitro, and the metabolic rate maybe related to the concentration of intestinal bacteria in theculture solution. In vivo metabolites of FLDK weredetected in rat plasma and urine after oral administration ofFLDK. Eight flavonoids were identified in the urine, andthree were identified in the plasma; however, flavonoidaglycones were not found in the plasma.

Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility

Zhou Qing-Qing,Wang Jiashuo,Tang Wen,Hu Zhang-Chun,Xia Zi-Yi,Xue-Song Li,Zhang Rongguo,Yin Xindao,Zhang Bing,Zhang Hong 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.7

Objective: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. Materials and Methods: This study included 1079 patients (median age, 55 years; men, 718) from three hospitals, between January 2011 and January 2019, who were divided into a monocentric training set (n = 876; median age, 55 years; men, 582), five multicenter/multiparameter validation sets (n = 173; median age, 59 years; men, 118) with different slice thicknesses and image pixels, and a normal control set (n = 30; median age, 53 years; men, 18). Three classifications (fresh, healing, and old fracture) combined with fracture location (corresponding CT layers) were detected automatically and delivered in a structured report. Precision, recall, and F1-score were selected as metrics to measure the optimum CNN model. Detection/diagnosis time, precision, and sensitivity were employed to compare the diagnostic efficiency of the structured report and that of experienced radiologists. Results: A total of 25054 annotations (fresh fracture, 10089; healing fracture, 10922; old fracture, 4043) were labelled for training (18584) and validation (6470). The detection efficiency was higher for fresh fractures and healing fractures than for old fractures (F1-scores, 0.849, 0.856, 0.770, respectively, p = 0.023 for each), and the robustness of the model was good in the five multicenter/multiparameter validation sets (all mean F1-scores > 0.8 except validation set 5 [512 x 512 pixels; F1-score = 0.757]). The precision of the five radiologists improved from 80.3% to 91.1%, and the sensitivity increased from 62.4% to 86.3% with artificial intelligence-assisted diagnosis. On average, the diagnosis time of the radiologists was reduced by 73.9 seconds. Conclusion: Our CNN model for automatic rib fracture detection could assist radiologists in improving diagnostic efficiency, reducing diagnosis time and radiologists’ workload.

RELATION BETWEEN DEMYANOV DIFFERENCE ANDMINKOWSKI DIFFERENCE OF CONVEX COMPACTSUBSETS IN R2

CHUN-LING SONG,ZUN-QUAN XIA,LI-WEI ZHANG,SHU-YANG LI 한국전산응용수학회 2007 Journal of applied mathematics & informatics Vol.23 No.1

A necessary and sufficient condition for Demyanov difference and Minkowski difference of compact convex subsets in R2 being equal is given in this paper. Several examples are computed by Matlab to test our result. The necessary and sufficient condition makes us to compute Clarke subdifferential by quasidifferential for a special of Lipschitz functions.

Investigation of White Matter and Grey Matter Alterations in the Monkey Brain Following Ischemic Stroke Using Diffusion Tensor Imaging

Chun-Xia Li,Yuguang Meng,Yumei Yan,Doty Kempf,Leonard Howell,Frank Tong,Xiaodong Zhang 대한자기공명의과학회 2022 Investigative Magnetic Resonance Imaging Vol.26 No.4

Purpose: Investigation of stroke lesions mostly focuses on the grey matter (GM). White matter (WM) degeneration during acute stroke has remained understudied. In the present study, monkeys were employed to investigate the alterations in GM and WM in the brain following ischemic occlusion using diffusion tensor imaging (DTI). Materials and Methods: Permanent middle cerebral artery occlusion was induced in rhesus monkeys (n = 6) using an interventional approach. Serial DTI was conducted on a clinical 3 T in the hyperacute phase (2–6 hours), 48, and 96 hours post-occlusion. Regions of interest in GM and WM of lesion areas were selected for data analysis. Results: Mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) in WM decreased substantially during hyperacute stroke, similar to those seen in GM. No obvious fractional anisotropy changes were seen in WM during the hyperacute phase until 48 hours poststroke when significant fiber loss was observed. Pseudo-normalization of MD, AD, and RD was seen at 96 hours. Pathological changes in WM and GM were observed in ischemic areas at 8, 48, and 96 hours poststroke. Relative changes in MD, AD, and RD of WM were correlated negatively with infarction volumes at 6 hours poststroke. Conclusion: The present study revealed the microstructural changes in GM and WM of monkey brains during acute stroke using DTI. The preliminary results suggest that AD and RD may be sensitive surrogate markers to assess specific microstructural changes in WM during the hyperacute stroke.

A novel pattern recognition protein of the Chinese oak silkmoth, Antheraea pernyi, is involved in the pro-PO activating system

Xia Lu Wan,Zhang Jing Hai,Ying Chen,You Lei Ma,Wen Jun Zou,Guo Yuan Ding,Wei Li,Ming Yi Zhao,Chun Fu Wu 생화학분자생물학회(구 한국생화학분자생물학회) 2013 BMB Reports Vol.46 No.7

Expression of Ang-2/Tie-2 and PI3K/AKT in Colorectal Cancer

Zhang, Ji-Hong,Wang, Li-Hua,Li, Xiang-Jun,Wang, Ai-Ping,Reng, Li-Qun,Xia, Feng-Guo,Yang, Zhi-Ping,Jiang, Jing,Wang, Xiao-Dan,Wen, Chun-Yang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.20

Purpose: To study the expression of angiogenin-2 (Ang-2) and its receptor Tie-2 in colorectal cancer and discuss the possible mechanisms behind this process. Materials and Methods: Using the streptavidin-peroxidase (SP) immunohistochemical method, paraffin sections from 100 colorectal cancer samples and 10 samples from tumor-adjacent normal tissue (> 2 cm from the edge of the gross tumor) were tested for protein expression of Ang-2, Tie-2, PI3K, and AKT. Reverse transcription-polymerase chain reaction and Western blots were further used to measure expression of the 4 genes and proteins in 20 freshly-resected colorectal cancer samples and tumor-adjacent normal tissues. Results: In colorectal cancer tissues, the expression of the Ang-2, Tie-2, PI3K, and AKT genes and their proteins was significantly higher than in tumor-adjacent normal tissues. Protein expression in poorly-differentiated adenocarcinoma was higher than that in well and moderately differentiated adenocarcinoma. According to Duke's classification, the protein expression in Stages C and D was significantly higher than that in Stages A and B. In the group with lymphatic metastasis, the protein expression was higher than that without lymphatic metastasis. Conclusions: In colorectal cancer, the expression of the Ang-2, Tie-2, PI3K, and AKT genes and their proteins is markedly higher than those in tumor-adjacent normal tissues. No correlation was observed between protein expression and gender, location, or histologic type. Correlations did exist between protein expression and differentiation level, stage of Duke's classification, and lymphatic metastasis; in colorectal cancer tissues with lower differentiation levels, higher stages of Duke's classification, and lymphatic metastasis, the expression of all 4 proteins was higher. The study of their expression patterns and relationships with aggression and metastasis will provide a valuable experimental foundation for assessing prognosis and targeted therapy of colorectal cancer.