Search results

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.

Two scenario-based experiments were conducted to empirically validate the model. The authors received 302 copies of the questionnaire, of which 269 were valid.

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.

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.

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.

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.

The authors chose biopharmaceutical firms in China as the sample of this study to empirically test the hypotheses.

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.

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.

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.

The purpose of this paper is to examine the influence of ordinary returnee and foreign employees in firm export performance, whose impacts have been overseen in prior research. This study also explores whether returnee and foreign employees function as substitutes or complements, and simultaneously considers the impacts of contextual factors on the relationship between returnee (foreign) employees and firm export performance.

Using panel data of Beijing’s Zhongguancun Science Park manufacturing firms over a seven-year period, from 2009 to 2015, the paper applies panel Tobit regression to deal with the left-censoring dependent variable.

This paper finds the number of returnee and foreign employees has significantly positive influence in promoting firm export performance; however, substitution effects exist between them. In addition, the positive effects of returnee and foreign employees on firm export performance are conditional. For foreign employees, the presence of corporate president with international background and firm imports will weaken their positive impacts. In terms of returnee employees, their positive influence proves not to be significantly reduced by corporate president’s international background but weakened by firm imports.

Previous research only highlights returnee entrepreneurs’ and top managers’ positive influence on firm export performance. However, with the development of emerging countries, for instance, China in this paper, ordinary returnee and foreign employees are playing more and more critical roles in firms’ internationalization process. This paper responds to the practical needs to focus on ordinary returnee and foreign employees.

This paper aims to propose a hybrid method based on polynomial fitting bias self-compensation, grey forward-backward linear prediction (GFBLP) and moving average filter (MAF) for error compensation in micro-electromechanical system gyroscope signal especially under motion state.

The error compensation can be divided into two processes: bias correction and noise reduction. A polynomial drift angle fitting algorithm is used to correct bias before denoising processing. For noise reduction, operation can be taken in two stages: detection and processing. First, sample variances are used to judge motion state. According to the detection results, algorithmic system switches between grey GFBLP and MAF to ensure fast convergence rate and small steady-state error.

Experimental results show that the proposed method can correct bias effectively for practical gyroscope signal, and can eliminate noise effectively for both practical gyroscope signal and synthetic signal, which indicates the effectiveness of the proposed method.

Bias correction and noise reduction are considerations. Noise contained in practical or synthetic signal can be reduced rapidly and effectively, which benefits from the new idea of combination grey GFBLP, MAF and sample variances. And most importantly, it is applicable for signal denoising under arbitrary motion state condition, which is different from other methods where the convergence performance is seldom analyzed.

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.

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.

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.

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.

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.

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.

This study aims to investigate the responses of young Chinese consumers with different cultural characteristics to negative brand information about electric vehicles.

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.

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.

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.

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.

This study originally provides a supplement to prior studies on cultural dimensions and consumer behavior and provides suggestions to marketers on young Chinese consumers.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This study aims to introduce an important temporal dimension to the research on institution and entrepreneurship in the transition period. This study develops the concept of pre-reform institutional embeddedness, and explores its impact on entrepreneurial reinvestment of private firms in China’s transition economy.

The authors used secondary data of a nationally representative sample of China’s private firms collected in the early days of the institutional transition period and applied ordinary least squares regressions and the Baron and Kenny approach to test the theoretical model.

Pre-reform institutional embeddedness has a negative impact on entrepreneurial reinvestment of private firms in the transition period. This relationship is mediated by guanxi-induced employment, such that pre-reform institutional embeddedness promotes guanxi-induced employment, which in turn discourages a private firm to reinvest. Additionally, the negative impact of guanxi-induced employment on entrepreneurial reinvestment is reduced when decentralization of decision-making is used.

First, entrepreneurs should be aware of pre-reform institutional embeddedness’ negative influence on firms’ risk-taking abilities and incentives. Private firms already constrained by this connection could alleviate the negative impacts through a widespread delegation of decision-making authority. Second, policymakers should be cautious about improper government-business relationships, which may discourage private firms from fully pursuing entrepreneurial growth opportunities.

This paper makes theoretical contributions to the literature on entrepreneurial reinvestment, embeddedness perspective of entrepreneurship and imprinting theory.

The purpose of this paper is to improve the customer satisfaction by offering online personalized recommendation system.

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.

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.

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.