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To improve the government's ability to regulate the economy, perfect the performance of macro-control, and promote stable and healthy economic development, according to the relevant data since the reform and opening up, the deep system of investment impulsive behavior of local government in China is explored at this stage, and the idea of constructing an intergovernmental macro-control coordination mechanism is proposed. The results show that if a regional government can expand in line with the policy cycle, it can not only send a positive signal to the central government to respond to the macro-control, but also gain the upper hand in the local competition. However, if the effective demand in the region is still insufficient, the expansion plan is likely to evolve into excessive investment, and the region will face greater risks of overcapacity and local debt in the long run. Therefore, it is of great significance to study the investment behaviors of local governments in China at the present stage, analyze their characteristics and appearances, and find the causes of the investment impulse of local governments, so as to establish the macro-control coordination mechanism among Chinese governments.

The purpose of this paper is to study the effect of different parts (predictable and impact) of different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on future fluctuations in the underlying index.

The authors input information about heterogeneous speculative behavior into the HAR-RV model to study the effect of different parts (predictable and impact) of different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on the future fluctuation of the underlying index.

The authors find that the increase in intraday speculation will exacerbate spot market volatility; and the expected increase of long-term value speculation can reduce market volatility, but the shock of speculation will exacerbate market volatility.

The authors suggest that regulators should strictly limit speculative intraday trading, and also focus on the long-term value speculation that decreases market volatility, in order to guide the benign development of the markets that stabilize abnormal market fluctuations.

First, in view of the correlation between the futures and spot markets, the authors put forward a new proxy for the speculation degree. Second, the authors input heterogeneous speculative behavior into the HAR-RV model to study the effects of different parts (predictable and impact) on different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on the future fluctuation of the underlying index.

Based on the perspectives of social capital, image motivation and motivation affordances, this paper explores the direct and moderation effects of different kinds of motivations (i.e. relationship-based motivation, community-based motivation and individual-based motivation) on users' continuous knowledge contributions in social question and answer (Q&A) communities.

The authors collect the panel data of 10,193 users from a popular social Q&A community in China. Then, a negative binomial regression model is adopted to analyze the collected data.

The paper demonstrates that social learning, peer recognition and knowledge seeking positively affect users' continuous contribution behaviors. However, the results also show that social exposure has the opposite effect. In addition, self-presentation is found to moderate the influence of social factors on users' continuous use behaviors, while the moderation effect of motivation affordances has no significance.

First, this study develops a comprehensive motivation framework that helps gain deeper insights into the underlying mechanism of knowledge contribution in social Q&A communities. Second, this study conducts panel data analysis to capture the impacts of motivations over time, rather than intentions at a fixed time point. Third, the findings can help operators of social Q&A communities to optimize community norms and incentive mechanisms.

This study delves into the nuanced relationship between financial constraints, ownership structures (state-owned and foreign) and innovation engagement within China’s A-share market, aiming to uncover how these dynamics vary across different industries and regional contexts.

By retrieving data from various datasets in China (2010–2022), this study analyzed the effectiveness of each variable, employing various dimensions to reflect innovation engagement among Chinese listed companies. Meanwhile, for the measurement of financial constraints, this study tested all four typical ones and opted for the KZ Index, as it is the most suitable for China’s A-share market. Then, by fixing the industry and year effects, the study examined the main and moderating effects. At last, in order to address endogeneity issues and capture the dynamic nature of innovation activities, this study follow the suggestion of Khatib (2024) and employed the two-step system Generalized Method of Moments (GMM) estimation.

The results demonstrate that while the government has introduced many policies to promote innovation, state-owned ownership does not consistently enhance innovation engagement as expected, especially when firms are in financial dilemma. Particularly, in Hi-tech industries, foreign ownership demonstrates greater interest and confidence in the innovation capabilities of China’s A-share market. Findings also reveal significant regional heterogeneity in the moderating role of ownership structures. While state-owned and foreign ownerships have a buffering effect against financial constraints in the eastern and western regions, but this effect is notably different in the middle part, even though it is China’s political heartland.

The findings offer a different insight for policymakers and corporate strategists, suggesting that targeted financial and regulatory policies that leverage specific ownership structures can foster innovation in different ways, particularly in financially constrained environments. However, how to stimulate innovation vitality in the middle part of China still requires further research.

Drawing on self-determination theory and insights from the literature on service-dominant (S-D) logic and value co-creation, this paper aims to investigate the impacts of an S-D orientation on positive customer outcomes (i.e. customer participation behaviors, customer citizenship behaviors and quality of life) and the underlying mechanisms of these effects.

Custom travel service (CTS) was chosen as the research setting. In total, 303 valid questionnaires were gathered from tourists in China. The partial least squares structural equation modeling approach was used for model estimation.

Tourism firms’ S-D orientation positively influences customer participation behaviors via customer psychological need satisfaction (i.e. perceived autonomy, competence and relatedness), customer citizenship behaviors via perceived relatedness and customer quality of life via perceived autonomy and perceived competence.

Although the impact of S-D orientation is studied in the CTS context, this study illustrates how firms embracing S-D logic can facilitate value co-creation and customer quality of life, presenting a more precise picture for academics and practitioners.

This paper is the first attempt to empirically examine the relationships among S-D orientation, customer value cocreation and quality of life. The relevance of customer psychological need satisfaction is acknowledged in this study.

Malicious attacks extremely traumatize knowledge networks due to increasing interdependence among knowledge elements. Therefore, exposing the damage of malicious attacks to knowledge networks has important theoretical and practical significance. Despite the insights being offered by the growing research stream, few studies discuss the diverse responses of knowledge networks’ robustness to different target-attacks, and the authors lack sufficient knowledge of which forms of malicious attacks constitute greater disaster when knowledge networks evolve to different stages. Given the irreversible consequences of malicious attacks on knowledge networks, this paper aims to examine the impacts of different malicious attacks on the robustness of knowledge networks.

On the basic of dividing malicious attacks into six forms, the authors incorporate two important aspects of robustness of knowledge networks – structure and function – in a research framework, and use maximal connected sub-graphs and network efficiency, respectively, to measure structural and functional robustness. Furthermore, the authors conceptualize knowledge as a multi-dimensional structure to reflect the heterogeneous nature of knowledge elements, and design the fundamental rules of simulation. NetLogo is used to simulate the features of knowledge networks and their changes of robustness as they face different malicious attacks.

First, knowledge networks gradually form more associative integrated structures with evolutionary progress. Second, various properties of knowledge elements play diverse roles in mitigating damage from malicious attacks. Recalculated-degree-based attacks cause greater damage than degree-based attacks, and structure of knowledge networks has higher resilience against ability than function. Third, structural robustness is mainly affected by the potential combinatorial value of high-degree knowledge elements, and the combinatorial potential of high-out-degree knowledge elements. Forth, the number of high in-degree knowledge elements with heterogeneous contents, and the inverted U-sharp effect contributed by high out-degree knowledge elements are the main influencers of functional robustness.

The authors use the frontier method to expose the detriments of malicious attacks both to structural and functional robustness in each evolutionary stage, and the authors reveal the relationship and effects of knowledge-based connections and knowledge combinatorial opportunities that contribute to maintaining them. Furthermore, the authors identify latent critical factors that may improve the structural and functional robustness of knowledge networks.

First, from the dynamic evolutionary perspective, the authors systematically examine structural and functional robustness to reveal the roles of the properties of knowledge element, and knowledge associations to maintain the robustness of knowledge networks. Second, the authors compare the damage of six forms of malicious attacks to identify the reasons for increased robustness vulnerability. Third, the authors construct the stock, power, expertise knowledge structure to overcome the difficulty of knowledge conceptualization. The results respond to multiple calls from different studies and extend the literature in multiple research domains.

With the proliferation of ideas submitted by users in firm-built online user innovation communities, community managers are faced with the problem of user idea overload. The purpose of this paper is to explore the influencing factors on the idea adoption to identify high quality ideas, and then propose a method to quickly filter high value ideas.

The authors collected more than 110,000 data submitted by Xiaomi community users and analyzed the factors affecting idea adoption using a multinomial logistic regression model. In addition, the authors also used BP neural network to predict the idea adoption process.

The empirical results show that idea semantics, number of likes, number of comments, number of related posts, the existence of pictures and self-presentation have positive impact on idea adoption, while idea length and idea timeliness had negative impact on idea adoption. In addition, this paper calculates the idea evaluation value through the idea adoption process predicted by neural network and the mean value of idea term frequency inverse document frequency (TF-IDF).

This empirical study expands the theoretical perspective of idea adoption research by using dual-process theory and enriches the research methods in the field of idea adoption research through the multinomial logistic regression method. Based on our findings, firms can quickly identify valuable ideas and effectively alleviate the information overload problem of online user innovation communities.

Limited empirical research has examined the impact of enterprise social media (ESM) use in the workplace on employees’ well-being and job satisfaction. Moreover, there remains a notable gap in effective management strategies to fully leverage the benefits of ESM while mitigating its potential drawbacks. This study employs the theories of self-depletion and resource conservation to investigate the mechanisms through which ESM use influences employees’ work flourishing, with particular emphasis on the mediating role of fatigue and the moderating roles of work autonomy and psychological detachment.

This study collected data from Chinese employees in two waves via an online survey platform. After two rounds of data collection, a total of 304 matched responses were obtained for analysis. Confirmatory factor analysis was conducted using Mplus, and multi-level linear regression analysis was employed to examine the relationships between corporate enterprise media use, fatigue, job autonomy, psychological detachment and job prosperity.

Social ESM use in the workplace increases employee fatigue (β = 0.258, p < 0.001), with fatigue negatively impacting thriving at work (β = −0.362, p < 0.001). Job autonomy mitigates the adverse relationship between social ESM use and fatigue, whereas psychological detachment moderates the negative impact of fatigue on thriving at work. The mediating effect of fatigue is most pronounced when both job autonomy and psychological detachment are low.

The findings of this study enhance our understanding of the psychological impacts of using ESM in the workplace and underscore the critical role of job autonomy and psychological detachment in mitigating the effects of social ESM use on employee well-being and performance.

This study provides guidance for the use of ESM in the workplace. Management should pay attention to improving the functionality of ESM, effectively managing employees’ social ESM use in the workplace, and clearly defining the boundaries between work and social activities. It is also beneficial for organizations to provide employees with autonomy and create opportunities for psychological detachment to mitigate the potential negative effects of social ESM use on employees.

This research contributes to the literature by identifying fatigue as a key mediator and job autonomy and psychological detachment as important moderators in the relationship between social-related ESM use and thriving at work.

The purpose of this study is to examine the impact of controlling shareholders’ share pledging on goodwill impairment.

This study empirically investigates the effect of controlling shareholders’ share pledging on both the decision and amount of goodwill impairment for Chinese listed firms from 2007 to 2017.

This study finds that the proportion of controlling shareholders’ share pledging is negatively related to both impairment decisions and amounts; these negative relationships are intensified when firms face high stock price crash risks. In addition, the empirical results show that firms with larger share pledging are less likely to recognize goodwill impairment or are likely to record relatively smaller impairment amounts when they are followed by fewer financial analysts.

Most of the relevant literature has focused on managers’ behaviors toward goodwill impairments, while less attention has been given to goodwill impairments from the perspective of controlling shareholders. In fact, controlling shareholders may have strong incentives to protect their control rights when they exercise disproportionate control rights, especially in China. Given the high ownership concentration, prior studies may not have adequately explained the agency problem of controlling shareholders in goodwill impairment. This study uses share pledging as a case to fill this gap. Specifically, it investigates whether both goodwill impairment decisions and amounts are affected by controlling shareholders’ share pledging.