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1 – 10 of 14Jin Chen, Hao Jiao and Xiaoting Zhao
Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the mechanisms…
Abstract
Purpose
Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the mechanisms, in the science-based innovation practice of biotechnological industry. How scientific knowledge influences the firms’ innovative performance and how external scientific knowledge flows into the firms efficiently are important issues every high-tech firms must consider.
Design/methodology/approach
The authors chose biopharmaceutical firms in China as the sample of this study to empirically test the hypotheses.
Findings
The study introduces a framework combining scientific knowledge resources, technological capabilities and innovative performance and, then, follows with an empirical investigation on firms in Chinese biotechnological industry. Survey data from biopharmaceutical firms in China prove the significantly positive impact of both stocks and flows of scientific knowledge on firms’ innovative performance, as well as the significant mediation effect, of technological capability.
Practical implications
From the results of this study, the authors derive the important managerial implications that talent exchange, purchasing external knowledge directly and establishing R&D alliances are three effective ways leading external scientific knowledge to flow into the firms.
Originality/value
The study finds that technological capability plays an intermediary role between scientific knowledge resource and innovative performance; tacit scientific knowledge stock and R&D alliance influence innovative performance through technological capability totally among them.
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Jin Chen, Xiaoting Zhao and Liang Tong
China's research and development (R&D) internationalization has grown rapidly in the 1990s. However, academic research has not kept pace with it. The purpose of this paper is to…
Abstract
Purpose
China's research and development (R&D) internationalization has grown rapidly in the 1990s. However, academic research has not kept pace with it. The purpose of this paper is to study the development characteristics and evolution pattern of China's R&D internationalization, explore its challenges to China's traditional science and technology (S&T) system, and to give some suggestions for the reform of China's S&T system as well.
Design/methodology/approach
An in‐depth case study about Huawei is conducted by focusing on its strategy and development pattern of overseas R&D activities. It involves two methods of data collection: comprehensive interviews and administrative records and documents of the company. More information about China's R&D internationalization and S&T system is obtained through literature review, policy documents collection and a previous questionnaire survey of 28 leading Chinese firms.
Findings
Based on the literature review, previous survey and study of the strategy and development of R&D internationalization of Huawei, a three‐stage model is proposed to explain the evolution of R&D internationalization in China. The challenges to the traditional S&T system in China are summarized. In the future, R&D internationalization should be considered as an important factor in the reform of China's S&T system. Some suggestions are given as well.
Originality/value
This paper puts forward a three‐stage model to explain the evolution of R&D internationalization in China, which may add both academic and practical value to the field of internationalization of R&D. It brings some valuable implications to the reform of China's S&T system as well. This paper analyzes the challenges and opportunities brought by R&D internationalization to China's S&T system on the basis of case study and policy documents collection. The suggestions of the reform of China's S&T system are presented.
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Xiaoting Shen, Yimeng Zhao, Jia Yu and Mingzhou Yu
This study aims to investigate the responses of young Chinese consumers with different cultural characteristics to negative brand information about electric vehicles.
Abstract
Purpose
This study aims to investigate the responses of young Chinese consumers with different cultural characteristics to negative brand information about electric vehicles.
Design/methodology/approach
The current study is quantitative research with an experimental method. It shows two different levels of severity for negative publicity and asks participants to self-report through questionnaires.
Findings
Chinese young consumers, being collectivist and of high uncertainty avoidance, tend to search for and spread information; consumers with low power distance search and share information more under low information severity. In addition, information search positively affects brand attitude under lower severity; negative word-of-mouth intention negatively affects brand attitudes at both severity levels.
Research limitations/implications
The current study examines the influence of personal cultural values on information searching and negative information dissemination among young consumers, providing insights to complement previous studies. Furthermore, it explores how such exposure influences young consumers’ brand attitude and intention to purchase. Limitations include simple sample scopes and single-product stimuli.
Practical implications
This research highlights the importance of cultural dimensions in shaping young consumers’ responses to negative publicity. Marketers worldwide should consider cultural influence and develop specific strategies to address negative information about different products. Understanding customers’ unique characteristics and preferences can help marketers effectively tailor their approaches to counter negative publicity.
Originality/value
This study originally provides a supplement to prior studies on cultural dimensions and consumer behavior and provides suggestions to marketers on young Chinese consumers.
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Xiaoting Xu, Mengqing Yang, Yuxiang Chris Zhao and Qinghua Zhu
Based on the examination of the roles of message framing and evidence type, this study made an analysis of the promotion methods of intention and information need towards HPV…
Abstract
Purpose
Based on the examination of the roles of message framing and evidence type, this study made an analysis of the promotion methods of intention and information need towards HPV vaccination.
Design/methodology/approach
The study conducted a 2 (gain-framed messages vs loss-framed messages) × 2 (statistical evidence vs narrative evidence) quasi-experimental design built upon theories of message framing and evidence type. This experiment recruited college students who were not vaccinated against HPV as participants. The analysis of variance (ANOVA), the analysis of covariance (ANCOVA), and the independent sample T-test were used to test the hypotheses.
Findings
The results (N = 300) indicate that (1) Loss-framed messages will lead to a more favorable intention towards HPV vaccination than gain-framed messages. (2) Statistical evidence will lead to a more explicit information need than narrative evidence. (3) Message framing and evidence type will interact and (a) for statistical evidence, loss-framed messages will lead to a more favorable intention towards HPV vaccination than gain-framed messages and (b) for narrative evidence, gain-framed messages will lead to a more favorable intention towards HPV vaccination than loss-framed messages. (4) Message framing and evidence type will interact and (a) for loss-framed messages, statistical evidence will stimulate more explicit information need of HPV vaccination than narrative evidence and (b) for gain-framed messages, narrative evidence will stimulate more explicit information need of HPV vaccination than statistical evidence.
Originality/value
This paper can help to further understand the important roles of message framing and evidence type in health behavior promotion. The study contributes to the literature on how health information can be well organized to serve the public health communication and further enhance the health information service.
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Gangxiang Xu, Bin Guo, Wen Li and Xiaoting Wang
The purpose of this paper is to use the theoretical perspective of structural inertia as a unique lens to study foreign sequential entry mode choices of multinational firms.
Abstract
Purpose
The purpose of this paper is to use the theoretical perspective of structural inertia as a unique lens to study foreign sequential entry mode choices of multinational firms.
Design/methodology/approach
It adopts quantitative analysis of a sample of 121 Chinese publicly listed firms with 564 foreign entry incidents in the 2001-2012 period to test the hypotheses.
Findings
The empirical results show that multinational firms have a tendency to adopt the same mode in the subsequent entry as the number of prior entry mode choice of a given type (joint venture (JV) in this study) increases. The results support the theoretical prediction that organizations repeat their past activities due to structural inertia. Moreover, such an inertia effect in foreign sequential entry mode choices becomes stronger for older multinational firms, larger multinational firms and state-owned multinational firms.
Research limitations/implications
Consistent with existing research, this study focuses on the entry mode choice between JV and wholly owned subsidiaries. However, it is better to examine the relationship identified in the study for different types of entry mode choices to assess result generalizability.
Practical implications
It reminds managers of multinational firms that they should be cautious to the influence of structural inertia that can be a barrier to strategic flexibility when they make entry mode choices.
Originality/value
The main contribution of this study resides in introducing structural inertia perspective to help understand the determinants of foreign sequential entry mode choices of multinational firms.
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Chengxin Yin, Yan Guo, Jianguo Yang and Xiaoting Ren
The purpose of this paper is to improve the customer satisfaction by offering online personalized recommendation system.
Abstract
Purpose
The purpose of this paper is to improve the customer satisfaction by offering online personalized recommendation system.
Design/methodology/approach
By employing an innovative associative classification method, this paper is able to predict a customer’s pleasure during the online while-recommending process. Consumers can make an active decision to recommended products. Based on customer’s characteristics, a product will be recommended to the potential buyer if the model predicts that he/she will click to view the product. That is, he/she is satisfied with the recommended product. Finally, the feasibility of the proposed recommendation system is validated through a Taobao shop.
Findings
The results of the experimental study clearly show that the online personalized recommendation system maximizes the customer’s satisfaction during the online while-recommending process based on an innovative associative classification method on the basis of consumer initiative decision.
Originality/value
Conventionally, customers are considered as passive recipients of the recommendation system. However, customers are tired of the recommendation system, and they can do nothing sometimes. This paper designs a new recommendation system on the basis of consumer initiative decision. The proposed recommendation system maximizes the customer’s satisfaction during the online while-recommending process.
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Binyue Kang, Qiuyu Shao, Hengkang Xu, Fengyan Jiang, Xiaoting Wei and Xinqing Shao
Grassland in Qinghai as the main type of ecosystem in this region is located in arid and semi-arid areas. The ecosystem is fragile and sensitive to climate change. Grassland…
Abstract
Purpose
Grassland in Qinghai as the main type of ecosystem in this region is located in arid and semi-arid areas. The ecosystem is fragile and sensitive to climate change. Grassland ecosystem not only provides essential ecological and life functions for human society but also plays a vital role in mitigating and adapting to climate change. The empirical literature on grassland ecosystem services value (ESV) does not consider the impact of climate change and regional economic development level factors, which prevents policymakers from making appropriate decisions. This paper aims to analyze the influencing factors of grassland ESV assessment, and, based on the meta-prediction model, account the grassland ESV in Qinghai province.
Design/methodology/approach
To understand the value of grassland ecosystem services in China under climate change, this paper used 61 research literature on the evaluation of grassland ESV in China, including a total of 564 value observations to establish a value transfer database. Based on the meta-analysis method, this study has constructed a value transfer model, to evaluate the grassland ESV in Qinghai province, and an interpretation model, which can analyze if the independent variables affect the grassland ESV significantly.
Findings
The study finds that the evaluation methods, types of ecosystem service functions, climate change and grassland types can affect the grassland ESV significantly. Based on the meta-regression prediction model to evaluate the grassland ESV in Qinghai is US$1,542.67/ha/year. It indicates several targeted approaches to increase the grassland ESV, and climate change also has a specific impact on the value of grassland ecosystem services.
Research limitations/implications
This study provides a scientific basis for grassland management related to the development of grasslands and ecological compensation, as well as promote the sustainable development of grassland ecosystems.
Originality/value
This paper contributes to the field of grassland ESV assessment in at least three aspects; first, it innovatively introduces the meta-analysis to carry out an integrated analysis of previous research results; second, it includes a broader set of influence variables in the analysis, including meteorological and economic factors; and third, it establishes a methodological basis for the field of grassland ESV accounting.
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Bowen Miao, Xiaoting Shang, Kai Yang, Bin Jia and Guoqing Zhang
This paper studies the location-inventory problem (LIP) in pallet pooling systems to improve resource utilization and save logistics costs, which is a new extension of the…
Abstract
Purpose
This paper studies the location-inventory problem (LIP) in pallet pooling systems to improve resource utilization and save logistics costs, which is a new extension of the classical LIP and also an application of the LIP in pallet pooling systems.
Design/methodology/approach
A mixed-integer linear programming is established, considering the location problem of pallet pooling centers (PPCs) with multi-level capacity, multi-period inventory management and bi-directional logistics. Owing to the computational complexity of the problem, a hybrid genetic algorithm (GA) is then proposed, where three local searching strategies are designed to improve the problem-solving efficiency. Lastly, numerical experiments are carried out to validate the feasibility of the established model and the efficiency of the proposed algorithm.
Findings
The results of numerical experiments show that (1) the proposed model can obtain the integrated optimal solution of the location problem and inventory management, which is better than the two-stage model and the model with single-level capacity; (2) the total cost and network structure are sensitive to the number of PPCs, the unit inventory cost, the proportion of repairable pallets and the fixed transportation cost and (3) the proposed hybrid GA shows good performance in terms of solution quality and computational time.
Originality/value
The established model extends the classical LIP by considering more practical factors, and the proposed algorithm provides support for solving large-scale problems. In addition, this study can also offer valuable decision support for managers in pallet pooling systems.
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Yuanyuan Guo, Chaoyou Wang and Xiaoting Chen
This study aims to examine the relative effectiveness of functional and financial remedies in influencing customers' negative coping responses in the event of a data breach. It…
Abstract
Purpose
This study aims to examine the relative effectiveness of functional and financial remedies in influencing customers' negative coping responses in the event of a data breach. It also uncovers the different mediating roles played by customers' feelings of anger and fear in the process of data breach recovery. This study thus differs from the literature, which has primarily focused on the impact of financial compensation and apologies for service failures in face-to-face environments.
Design/methodology/approach
Two scenario-based experiments were conducted to empirically validate the model. The authors received 302 copies of the questionnaire, of which 269 were valid.
Findings
This study finds that functional remedies are more effective than financial remedies when sensitive information has been compromised, but there is no significant difference between the effectiveness of the two remedies when nonsensitive information has been compromised. In addition, functional remedies influence negative coping behaviors directly and indirectly; the indirect effect is achieved through the reduction of fear and anger. Contrary to the authors' expectation, financial remedies do not have a direct effect on negative coping behaviors; they can indirectly affect negative coping behaviors by reducing anger but do not affect negative coping behaviors by reducing fear.
Practical implications
This study provides key insights into how to manage customer reactions in the event of a data breach, suggesting the use of carefully designed recovery strategies. Companies must attend to customers' specific emotional responses to manage their negative coping behaviors.
Originality/value
This study extends the limited literature on data breach recovery actions by investigating the different effectiveness of functional and financial remedies in the event of a data breach. It also uncovers how functional and financial recovery strategies affect customers' negative coping behaviors by revealing the different mediating effects of fear and anger.
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Yida Liu, Jie Zhao, Xiaoyu Yang, Yanhong Gu and Zihao Yang
The purpose of this paper is to improve the corrosion resistance of the 6061-Al alloy as the battery pack material for electric vehicles, and the nano-SiC/MAO composite coating…
Abstract
Purpose
The purpose of this paper is to improve the corrosion resistance of the 6061-Al alloy as the battery pack material for electric vehicles, and the nano-SiC/MAO composite coating was prepared.
Design/methodology/approach
The corrosion resistance of coatings was evaluated by the global electrochemical test, and the local electrochemical impedance spectroscopy (LEIS) was used to study the local corrosion mechanism. The laser confocal microscope, scanning electron microscope and X-ray diffractometer (XRD) were used to characterise coatings.
Findings
Results showed that the impedance of nano-SiC/MAO coating was 1–2 times higher than MAO coating, and the main corrosion product was Al(OH)3. LEIS results showed that the impedance of the nano-SiC/MAO coating was two times higher than the MAO coating. The defective SiC/Micro-arc oxidation coating still had high corrosion resistance compared to the MAO coating.
Originality/value
The physical model of the local corrosion mechanism for SiC/MAO composite coating in “cavity-fracture collapse” mode was proposed.
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