The purpose of technology mergers and acquisitions (M&A) is to achieve innovation. The authors use the data from the China Patent Research System of China National Intellectual…
Abstract
Purpose
The purpose of technology mergers and acquisitions (M&A) is to achieve innovation. The authors use the data from the China Patent Research System of China National Intellectual Property Administration to classify technical correlations into three types: similar, complementary and nonrelatedness (cross-sectoral category). And the authors explore three issues: the market reaction to technology-oriented M&A, the impact of technology-oriented M&A on goodwill and how technology-oriented M&A affects innovation.
Design/methodology/approach
The authors use data from China Patent Research System of China National Intellectual Property Administration to classify technical correlations into three types: similar, complementary and nonrelatedness (cross-sectoral category). And the authors explore three issues: the market reaction of technology-oriented M&A, the impact of technology-oriented M&A on goodwill and how technology-oriented M&A affects innovation. The empirical research shows that the cross-sectoral M&A is popular in the market and is positively correlated with cumulative abnormal return (CAR) and premium rate of M&A. However, the technology-similarity M&A, which is committed to in-depth exploration of original technology, is negatively correlated with CAR and goodwill.
Findings
The empirical research shows that cross-sectoral M&A is popular in the market and is positively correlated with CAR and premium rate of M&A. However, the technology-similarity M&A, which is committed to in-depth exploration of original technology, is negatively correlated with CAR and goodwill. In addition, empirical results show that there is an inverted U-shaped relationship between technology-oriented M&A and innovation output, and the inflection points are 41.8%, 48.9% and 38.8%, respectively.
Originality/value
The research contributions of this paper are as follows: first, most domestic studies simply and roughly measure the degree of technical relevance based on whether the firms belong to the same industry and whether there is common knowledge between them, but the authors provide a more accurate measure of technology-oriented M&A. Second, in the research on the economic consequences of technology-oriented M&As, a large number of literatures have mainly focused on the innovation performance of the acquirer after deals, including the number of patent applications, the number of patent citations, innovation output, etc., and they pay less attention to its impact on the market reaction and goodwill.
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Yafei Zhang and Li Chen
The purpose of this study is to explore possible factors leading to a successful mediation in Chinese mediation shows. In China, media always play an indispensable role in…
Abstract
Purpose
The purpose of this study is to explore possible factors leading to a successful mediation in Chinese mediation shows. In China, media always play an indispensable role in information dissemination, morality advocacy and policy explanation.
Design/methodology/approach
This paper employed content analysis of 166 episodes of one representative mediation show, Gold Medal Mediation, and regression technique in data analysis.
Findings
Results of ordinal regression suggested that “secret talking”, rather than transparency, between disputants had significant influence on successful mediation. Function of mediators is limited in reaching full mediation. The effective factors leading to full mediation include compromise of rights, secret talking, attitude of the observer cohort. It suggests that the role of mediator is limited, rather than being over-exaggerated, in successful mediation. The successful mediation is largely dependent on disputants’ motivations. Additionally, “compromise of rights” by disputants is a key factor in solving disputes.
Research limitations/implications
Findings of this study revealed the role of Chinese mediation shows in propagating mediation in contemporary Chinese society and supporting upheld morality values. Due to the nature of the chosen mediation show, some disputes take more than one episode to solve. However, this study looks at each episode without considering the integrity of the dispute. That is, if the disputes take two episodes, the coder codes the two episodes as two separate disputes instead of looking at it as one dispute.
Originality/value
By exploring various aspects of mediations shows, including the role of mediators, disputants and a cohort of observers, this study can both explicitly show predicted factors to successful mediations on the shows, and can implicitly examine the power and perceived justification of mediation in contemporary China via media.
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Yafei Feng, Yan Zhang and Lifu Li
The privacy calculus based on a single stakeholder failed to explain users' co-owned information disclosure owing to the uniqueness of co-owned information. Drawing on collective…
Abstract
Purpose
The privacy calculus based on a single stakeholder failed to explain users' co-owned information disclosure owing to the uniqueness of co-owned information. Drawing on collective privacy calculus theory and impression management theory, this study attempts to explore the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective.
Design/methodology/approach
Drawing on collective privacy calculus theory and impression management theory, this study explores the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective based on a survey of 740 respondents.
Findings
This study finds that self-presentation and others presentation directly positively affect users' co-owned information disclosure. Also, self-presentation, others presentation and relationship presentation indirectly positively affect users' co-owned information disclosure via relationship support. Furthermore, personal privacy concern, others' privacy concern and relationship privacy concern indirectly negatively affect users' co-owned information disclosure via relationship risk.
Originality/value
The findings develop the theory of collective privacy calculus and impression management, which offer insights into the design of the collective privacy protection function of social network platform service providers.
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Yongqiang Sun, Fei Zhang and Yafei Feng
This paper aimed to explain why individuals still tend to disclose their privacy information even when privacy risks are high and whether individuals disclose or withhold…
Abstract
Purpose
This paper aimed to explain why individuals still tend to disclose their privacy information even when privacy risks are high and whether individuals disclose or withhold information following the same logic.
Design/methodology/approach
This study develops a configurational decision tree model (CDTM) for precisely understanding individuals' decision-making process of privacy disclosure. A survey of location-based social network service (LBSNS) users was conducted to collect data, and fuzzy-set qualitative comparative analysis (fsQCA) was adopted to validate the hypotheses.
Findings
This paper identified two configurations for high and low disclosure, respectively, and found that the benefits and the risks did not function independently but interdependently, and the justice would play a crucial role when both the benefits and the risks were high. Furthermore, the authors found that there were asymmetric mechanisms for high disclosure and low disclosure, and males focused more on perceived usefulness, while females concerned more about perceived enjoyment, privacy risks and perceived justice.
Originality/value
This paper further extends privacy calculus model (PCM) and deepens the understanding of the privacy calculus process from a configurational perspective. In addition, this study also provides guidance for future research on how to adopt the configurational approach with qualitative comparative analysis (QCA) to revise and improve relevant theories for information systems (IS) behavioral research.
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Previous studies have addressed the importance of knowledge base and its effect on innovation outputs. However, few studies have focused on the antecedents of dynamic changes of…
Abstract
Purpose
Previous studies have addressed the importance of knowledge base and its effect on innovation outputs. However, few studies have focused on the antecedents of dynamic changes of the organizational knowledge base. This study aims to shed light on the antecedents of dynamic change of the organizational knowledge base by examining how network centrality in an organization's collaboration network impacts this change and the moderating role of knowledge network cohesion.
Design/methodology/approach
The empirical setting of this study is the smartphone collaboration network. The authors selected patent data from the Derwent Innovation Database. A negative binomial model was used to test the hypotheses.
Findings
The results verified that network centrality has a positive effect on the change in coupling among existing knowledge domains and has an inverted U-shaped relationship with the coupling between new and existing knowledge domains. Furthermore, when local cohesion is high, network centrality has a stronger positive effect on the change in coupling among existing knowledge domains. Global cohesion moderates this process in such a way that when it is at a high level, the coupling between new and existing knowledge domains can benefit more from a moderate level of network centrality.
Originality/value
This study sheds light on the antecedents of dynamic change of the organizational knowledge base and links the literature on collaboration and knowledge networks by providing novel insights to match collaboration network centrality with knowledge network cohesion for successful improvement of the organizational knowledge base.
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Yafei Zhang, Chuqing Dong and Yuan Cheng
This study seeks to understand the communication factors associated with effective social media for nonprofit organizations (NPOs). Specifically, the study investigated how…
Abstract
Purpose
This study seeks to understand the communication factors associated with effective social media for nonprofit organizations (NPOs). Specifically, the study investigated how interactive and emotional communication strategies influence public engagement in different ways, and how the effects differ by service-oriented and other types of NPOs.
Design/methodology/approach
Using computer-assisted textual and emotional analyses, the authors examined the functional interactivity, contingency interactivity and emotion elements of 301,559 tweets from the 100 largest US nonprofits. Negative binomial regression was applied to test the relationships among these elements and public engagement on Twitter (i.e. likes and retweets).
Findings
Findings revealed negative effects of functional interactivity on likes, negative effects of contingency interactivity on likes and retweets but a positive effect of functional interactivity on retweets. The findings also showed negative effects of emotion valence on likes and retweets but positive effects of emotion strength on likes and retweets. There were varying effects of interactivity and emotion on public engagement for service-oriented and other types of NPOs.
Originality/value
This study advances the nonprofit social media scholarship in several ways. First, this study suggests a clear yet largely ignored distinction in the effects of functional and contingency interactivity on public engagement. Second, this study is an early attempt to examine the role and impact of emotion elements in nonprofit social media success without downplaying the role of interactivity. Third, this study is one of the earliest attempts to include interaction effects for different types of NPOs. Last, this study contributes to the organizational social media use research by demonstrating the benefits of computer-assisted approaches in processing text data on social media. From a practical perspective, this study provides strategic guidelines for NPOs to design effective communication contents and improve their public engagement on social media.
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Mingli Zhang, Zihan Wei and Yafei Liu
This study investigates how the complexity of sentiment in online reviews affects perceived helpfulness. Analyzed over 730,000 reviews from Tripadvisor.com, the research explores…
Abstract
Purpose
This study investigates how the complexity of sentiment in online reviews affects perceived helpfulness. Analyzed over 730,000 reviews from Tripadvisor.com, the research explores how information overload and increased cognitive load impact consumer decision-making.
Design/methodology/approach
This study applied the BERT deep learning model to analyze sentiment complexity in online reviews. Based on cognitive load theory, we examined two key factors: the number of attributes mentioned in a review and the variation in sentiment valence of across attributes to evaluate their impact on cognitive load and review helpfulness.
Findings
The results show that a higher number of attributes and greater variation in sentiment valence increase cognitive load, reducing review helpfulness. Reviewers’ expertise and review readability further moderate these effects, with complex or expert-written reviews worsening the negative impact.
Originality/value
This research introduces a method for measuring attribute-level sentiment complexity and its impact on review helpfulness, emphasizing the importance of balancing detail with readability. These findings provide a foundation for future studies on review characteristics and consumer behavior.
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Lifu Li, Kyeong Kang, Anqi Zhao and Yafei Feng
Although prior studies have studied the relationship between online consumers' attitudes and buying behaviour, the research focussing on online consumers' impulse buying…
Abstract
Purpose
Although prior studies have studied the relationship between online consumers' attitudes and buying behaviour, the research focussing on online consumers' impulse buying behaviours and exploring the role of celebrity endorsement is limited. Drawing on the social presence and the social facilitation theory, this paper establishes a research model based on the stimuli–organism–response (S–O–R) model and the motivation theory. It explores how live streamers impact online consumers' impulse buying behaviours under specific social and cultural backgrounds, with celebrity endorsement as a moderating variable.
Design/methodology/approach
To test the research model, the online questionnaire method has been conducted in this study. This paper utilises Chinese online consumers as samples and promotes an online survey. Using the variance-based structural equation modelling and partial least squares path modelling (SEM-PLS), 433 valid questionnaires have been analysed on SmartPLS.
Findings
First, live streamers' attractive appearance positively correlates with online consumers' hedonic attitude and positively impacts their utilitarian attitude to live shopping. Second, live streamers' real-time interaction positively affects consumers' utilitarian attitudes because of their professional marketing and communication skills. Third, their hedonic and utilitarian attitudes positively influence online consumers' impulse buying behaviours. Finally, this paper presents that celebrity endorsement negatively moderates the relationship between online consumers' hedonic attitudes and impulse buying during live shopping.
Originality/value
This research combines the S–O–R model and the motivation theory and analyses related social influencing factors to study online consumers' impulse buying behaviours. Meanwhile, it explores the celebrity endorsement factor as a moderate role and identifies the different effects between live streamers and celebrities in live shopping, which is of great significance to the strategy of live shopping marketing and the literature on online consumers' behaviours.
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Fengrong Wang, Yafei Li and Jinping Sun
The purpose of this paper studies the transformation effect of research and development (R&D) subsidies on firm performance in emerging economies from the perspective of capital…
Abstract
Purpose
The purpose of this paper studies the transformation effect of research and development (R&D) subsidies on firm performance in emerging economies from the perspective of capital and product markets. It also studies the mechanisms behind R&D subsidies’ transformation effect.
Design/methodology/approach
This study mainly explores the transformation effect of government R&D subsidies on corporate performance and its non-linear characteristics using Chinese A-share listed companies’ data from 2008 to 2016. The authors use the instrumental variable method to reduce endogenous problems and conduct a series of robustness tests to support the conclusions. The mechanisms of the transformation effect are explored via mediation effect models. The impact of firm heterogeneities on the transformation effect is also addressed.
Findings
Results indicate that R&D subsidies promote firm performance and experience obvious transformation effects only within a “moderate interval.” R&D subsidies play a vital role in enhancing firm performance mainly via two mechanisms, namely, signal financing and innovation incentives. Further, the transformation effect is much greater in non-state-owned, young and large enterprises.
Originality/value
This paper contributes to understanding how R&D subsidies affect corporate performance from the perspective of capital and product markets by applying the linear and non-linear techniques that can clarify the relationship between the selected variables under study. The findings of this study might be helpful to identify the right directions for the government to implement and promote the R&D subsidy policies more effectively.
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Yafei Zhang, Li Chen and Ming Xie
Drawing on the moral foundations theory (MFT), we examine what nonprofit organizations (NPOs) discuss and how NPOs engage in gun-related issues on Twitter. Specifically, we…
Abstract
Purpose
Drawing on the moral foundations theory (MFT), we examine what nonprofit organizations (NPOs) discuss and how NPOs engage in gun-related issues on Twitter. Specifically, we explore latent topics and embedded moral values (i.e. care, fairness, loyalty, authority, and sanctity) in NPOs’ tweets and investigate the effects of the latent topics and moral values on invoking public engagement.
Design/methodology/approach
Data were retrieved by the Twint Python and the rtweet R packages. Finally, 5,041 tweets posted by 679 NPOs were analyzed via unsupervised topic modeling and the extended moral foundations dictionary (eMFD). Negative binomial regression analysis was employed for statistical analysis.
Findings
NPOs’ engagement in gun-related issues mainly focuses on laws and policies, calling for action and collaborations, and school safety. All five moral foundations are more salient in the cluster of laws and policies. When NPOs discuss the above-mentioned three topics, the public is less likely to like or retweet NPOs’ messages. In contrast, NPOs’ messages with the sanctity foundation are most likely to receive likes and retweets from the public. The fairness foundation interacts with Cluster 3 of school safety on the number of likes.
Originality/value
This study enhances the understanding of gun-related social media discussions by identifying the crucial involvement of NPOs as major stakeholders. In addition, our study enriches the existing literature on NPOs’ social media communication by including moral values and their moral-emotional effects on public engagement. Finally, our study validates the eMFD dictionary and broadens its applicability to gun-related topics.