Yixin Ding, Zhen Lei and Junrong Wei
Building on expectancy violations theory, this study aims to investigate the role of negative performance feedback in firm’s mergers and acquisitions (M&A) intensity, a typical…
Abstract
Purpose
Building on expectancy violations theory, this study aims to investigate the role of negative performance feedback in firm’s mergers and acquisitions (M&A) intensity, a typical risky strategic option which might entail negative reactions from shareholders, and also examine the moderating effects of top management teams (TMTs) regulatory focus on this relationship.
Design/methodology/approach
The authors use a longitudinal panel sample of 2,042 Chinese A-share listed manufacturing firms and data for the years between 2007 and 2019 collected from multiple data sources. Furthermore, the authors also conducted supplementary analyses and various robustness checks of the key variables.
Findings
The findings show that both the intensity and duration of negative performance feedback negatively impact firms’ M&A intensity. Besides, the effect of negative performance feedback on M&A intensity will be magnified when the focal firm of TMTs with high prevention focus.
Practical implications
During the period of performance depression, TMTs are supposed to focus on stability, keep an eye on potential risks and be prudent in making decisions like walking on eggshells to avoid making further losses.
Originality/value
This study develops a core mechanism – managers of underperformance firms prioritize meeting shareholder expectations as their foremost task to ensure minimal negative repercussions – and also highlights the role of fit between TMT prevention focus and negative performance feedback on M&A intensity.
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Yixin Qiu, Ying Tang, Xiaohang Ren, Andrea Moro and Farhad Taghizadeh-Hesary
This study aims to investigate the relationship between corporate environmental responsibility (CER) and risk-taking in Chinese A-share listed companies from 2011 to 2020. It…
Abstract
Purpose
This study aims to investigate the relationship between corporate environmental responsibility (CER) and risk-taking in Chinese A-share listed companies from 2011 to 2020. It seeks to understand the influence of CER on risk-taking behavior and explore potential moderating factors.
Design/methodology/approach
A quantitative approach is used, using data from Chinese A-share listed companies over the specified period. Regression analysis is used to examine the relationship between CER and risk-taking, while considering moderating variables such as performance aspiration, environmental enrichment and contextual factors.
Findings
The findings indicate that CER positively influences corporate risk-taking, with significant impacts on information asymmetry and corporate reputation. Moreover, positive performance aspiration strengthens the effect of CER on risk-taking, while negative performance aspiration and environmental enrichment weaken this effect. Cross-sectional analysis shows that the positive association between CER and risk-taking is more prominent for firms located in areas with strict environmental regulation, for nonstate-owned firms, and for firms with higher levels of internal control.
Originality/value
This research contributes to the literature by providing insights into the dynamics between CER and risk-taking in the Chinese market context. It expands existing knowledge by considering the influence of performance aspiration on this relationship, offering practical implications for firms seeking to enhance corporate performance through strategic management of environmental responsibilities.
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Wanru Xie, Yixin Zhao, Gang Zhao, Fei Yang, Zilong Wei and Jinzhao Liu
High-speed turnouts are more complex in structure and thus may cause abnormal vibration of high-speed train car body, affecting driving safety and passenger riding experience…
Abstract
Purpose
High-speed turnouts are more complex in structure and thus may cause abnormal vibration of high-speed train car body, affecting driving safety and passenger riding experience. Therefore, it is necessary to analyze the data characteristics of continuous hunting of high-speed trains passing through turnouts and propose a diagnostic method for engineering applications.
Design/methodology/approach
First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. Then, the Short-Time Fourier Transform (STFT) is performed to calculate the marginal spectra. Finally, the presence of a continuous hunting problem is determined based on the results of the comparison calculations and diagnostic thresholds. To improve computational efficiency, permutation entropy (PE) is used as a fast indicator to identify turnouts with potential problems.
Findings
Under continuous hunting conditions, the PE is less than 0.90; the ratio of the maximum peak value of the signal component to the original signal peak value exceeded 0.7, and there is an energy band in the STFT time-frequency map, which corresponds to a frequency distribution range of 1–2 Hz.
Originality/value
The research results have revealed the lateral vibration characteristics of the high-speed train’s car body during continuous hunting when passing through turnouts. On this basis, an effective diagnostic method has been proposed. With a focus on practical engineering applications, a rapid screening index for identifying potential issues has been proposed, significantly enhancing the efficiency of diagnostic processes.
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Yixin Zhao, Zhonghai Cheng and Yongle Chai
Natural disasters profoundly influence agricultural trade sustainability. This study investigates the effects of natural disasters on agricultural production imports in China…
Abstract
Purpose
Natural disasters profoundly influence agricultural trade sustainability. This study investigates the effects of natural disasters on agricultural production imports in China within 2002 and 2018. This exploration estimates the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations.
Design/methodology/approach
This investigation uses Probit, Logit, Cloglog and Ordinary Least Squares (OLS) models.
Findings
The results confirm the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations in China. According to the findings, natural disasters in trading partners heighten the risk to the agricultural imports. This risk raises, if disasters damage overall agricultural yield or transportation infrastructure. Moreover, governments’ effective response or diplomatic ties with China mitigate the risk. Finally, the effect of disasters varies by the developmental status of the country involved, with events in developed nations posing a greater risk to China’s imports than those in developing nations.
Originality/value
China should devise an early warning system to protect its agricultural imports by using advanced technologies such as data analytics, remote sensing and artificial intelligence. In addition, it can leverage this system by improving its collaboration with trading partners, involvement in international forums and agreement for mutual support in crisis.
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Yixin Zhang, Lizhen Cui, Wei He, Xudong Lu and Shipeng Wang
The behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect…
Abstract
Purpose
The behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect decision-making have attracted the attention of many researchers. Among the factors that influence decision-making, the mind of digital-self plays an important role. Exploring the influence mechanism of digital-selfs’ mind on decision-making is helpful to understand the behaviors of the crowd intelligence network and improve the transaction efficiency in the network of CrowdIntell.
Design/methodology/approach
In this paper, the authors use behavioral pattern perception layer, multi-aspect perception layer and memory network enhancement layer to adaptively explore the mind of a digital-self and generate the mental representation of a digital-self from three aspects including external behavior, multi-aspect factors of the mind and memory units. The authors use the mental representations to assist behavioral decision-making.
Findings
The evaluation in real-world open data sets shows that the proposed method can model the mind and verify the influence of the mind on the behavioral decisions, and its performance is better than the universal baseline methods for modeling user interest.
Originality/value
In general, the authors use the behaviors of the digital-self to mine and explore its mind, which is used to assist the digital-self to make decisions and promote the transaction in the network of CrowdIntell. This work is one of the early attempts, which uses neural networks to model the mental representation of digital-self.
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Benson Thomas M., Joemet Jose and Abdul Jaleel
This paper aims to examine the social engagement of individuals who have recently migrated to cities in India. The objective is to assess the capacity of these migrants to foster…
Abstract
Purpose
This paper aims to examine the social engagement of individuals who have recently migrated to cities in India. The objective is to assess the capacity of these migrants to foster social connections in their newfound urban settings, aiming to advocate for urban governance reforms that facilitate inclusive planning for the holistic well-being of all residents, including migrants.
Design/methodology/approach
Using quantitative data from the first phase of the longitudinal aging study in India (LASI-2020), this study introduces the term “social engagement” to characterize the interactions of migrants. Incorporating 18 relevant variables, the research uses the Chi-square test to explore correlations between these factors and the social engagement of recent migrants in cities. In addition, multivariate logistic regression is used to identify traits that empower migrants to achieve significant levels of social engagement.
Findings
This study reveals that a substantial proportion of recent migrants (over 70%) experience social isolation in their new urban environments. Factors such as increasing age, female gender and lower educational attainment significantly contribute to this isolation. Moreover, wealth, religious affiliations and previous urban experiences play pivotal roles in shaping social engagement among urban migrants. Interestingly, age itself does not directly impact migrants’ social engagement; instead, the intersection of factors such as education, wealth and prior urban experiences assumes a critical role.
Practical implications
Recognizing that social engagement is an integral part of everyday life in contemporary urban societies, it is imperative for urban governance in India to establish structures and systems that facilitate social engagement for the elderly, including migrants. Urban administrators and planners must integrate these dimensions into planning and administrative processes to foster inclusivity for all elderly populations, including migrants, within urban areas.
Originality/value
Addressing a noticeable gap in existing literature, this paper initiates a discourse on the social engagement of recent migrants residing in Indian cities, with specific focus on the intricate interplay of aging, gender, migration status, wealth and education.