Wen Mu, Yiyang Bian and J. Leon Zhao
The purpose of this paper is to investigate the roles of online leadership in open collaborative innovation success by extending functional leadership theory in the context of…
Abstract
Purpose
The purpose of this paper is to investigate the roles of online leadership in open collaborative innovation success by extending functional leadership theory in the context of open source projects.
Design/methodology/approach
This study uses negative binomial regression models to empirically test the proposed hypotheses with samples of blockchain open source projects on GitHub.
Findings
The results indicate that task-oriented leadership behaviors in forms of technical contributions have little influence on open collaborative innovation success; relation-oriented leadership behaviors embedded in internal social capital and external social capital contribute to open collaborative innovation success prominently. Furthermore, the joint effects of technical contributions, internal social capital and community commitment with openness orientation are positively significant on open collaborative innovation success, respectively.
Practical implications
For leaders and participants of open collaborative innovation projects, they should attach importance to both leadership behaviors and the joint effects with openness orientation so as to make informed decisions.
Originality/value
This study offers a new fine-grained framework of open collaborative innovation success by investigating specific dimensions of task-oriented and relation-orientated leadership behaviors, as well as their joint effects with openness orientation.
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Kyungshick Cho, Jaeyoung Cho and Yiyang Bian
The determinants that contribute to reducing stock price crash risk have garnered attention from scholars and practitioners. However, our understanding of the relationship between…
Abstract
Purpose
The determinants that contribute to reducing stock price crash risk have garnered attention from scholars and practitioners. However, our understanding of the relationship between board diversity and stock crash risk, as well as the contextual factors that influence this relationship, remains limited. To address this gap, this study aims to investigate how different attributes of board diversity affect stock price crash risk, particularly under conditions of higher performance hazard and ownership concentration.
Design/methodology/approach
Using a two-stage least squares fixed-effects estimator, the authors analyze a panel data set of 1,792 firm-year observations across 282 firms listed on the KOSPI200 from 2010 to 2019.
Findings
Relation-oriented diversity reduces future stock price crash risk, particularly when firms experience performance shortfalls and have concentrated ownership structures, but task-oriented diversity has no significant effects. The results imply that only relation-oriented diversity strengthens governance mechanisms by curtailing managerial bad news withholding behaviors, and the role of relation-oriented diversity in reducing stock crash risk becomes more crucial when firms have higher performance hazard and concentrated ownership.
Originality/value
This study makes crucial contributions as follows: the authors contribute to the stock crash risk literature by shifting the focus from how to when board diversity matters in assessing stock crash risk; the authors extend the board diversity research and enhance scholarly understanding of the effects of board diversity on corporate governance by highlighting that not all aspects of board diversity improve firm governance mechanisms; and the authors widen the lens from a single attribute to multiple attributes of diversity to reveal the effects of diversity on boards in assessing future crash risk.
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Yiyang Bian, Lele Kang and J. Leon Zhao
The purpose of this paper is to investigate organizational information technology (IT) deployment from a dual decision-making perspective. This study builds on rational choice…
Abstract
Purpose
The purpose of this paper is to investigate organizational information technology (IT) deployment from a dual decision-making perspective. This study builds on rational choice theory to characterize how the costs and values of incumbent IT and those of the corresponding new cloud computing influence a company's dual decision of discontinuance and acceptance.
Design/methodology/approach
This study chooses cloud computing as the research context, since it is one of the most well-accepted ITs in current practice. By using survey methodology, the data were collected from organizations around the world. Our hypotheses were examined via multimethod analyses, including the partial least squares, the multinomial log it regression and the analysis of variance.
Findings
This research reveals that organizations often follow the dual decision-making process in IT deployment regarding a non-cloud, hybrid structure and full-cloud considers incumbent IT discontinuance and new cloud computing acceptance. These results indicate that organizations may embrace cloud computing because of its perceived high system compatibility and low support costs. Meanwhile, security threats remain the primary obstacles to conducting business in the cloud.
Originality/value
Previous studies mainly focus on a single aspect and do not reveal the intricacies of the interactions between the reduction of incumbent IT and the addition of new IT. To address this gap in the body of knowledge, our study proposes a dual decision model based on a dialectical understanding of new and incumbent IT mechanisms instead of a singular IT acceptance model.
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Wenping Zhang, Wei Du, Yiyang Bian, Chih-Hung Peng and Qiqi Jiang
The purpose of this study is to unpack the antecedents and consequences of clickbait prevalence in online media at two different levels, namely, (1) Headline-level: what…
Abstract
Purpose
The purpose of this study is to unpack the antecedents and consequences of clickbait prevalence in online media at two different levels, namely, (1) Headline-level: what characteristics of clickbait headlines attract user clicks and (2) Publisher-level: what happens to publishers who create clickbait on a prolonged basis.
Design/methodology/approach
To test the proposed conjectures, the authors collected longitudinal data in collaboration with a leading company that operates more than 500 WeChat official accounts in China. This study proposed a text mining framework to extract and quantify clickbait rhetorical features (i.e. hyperbole, insinuation, puzzle, and visual rhetoric). Econometric analysis was employed for empirical validation.
Findings
The findings revealed that (1) hyperbole, insinuation, and visual rhetoric entice users to click the baited headlines, (2) there is an inverted U-shaped relationship between the number of clickbait headlines posted by a publisher and its visit traffic, and (3) this non-linear relationship is moderated by the publisher's age.
Research limitations/implications
This research contributes to current literature on clickbait detection and clickbait consequences. Future studies can design more sophisticated methods for extracting rhetorical characteristics and implement in different languages.
Practical implications
The findings could aid online media publishers to design attractive headlines and develop clickbait strategies to avoid user churn, and help managers enact appropriate regulations and policies to control clickbait prevalence.
Originality/value
The authors propose a novel text mining framework to quantify rhetoric embedded in clickbait. This study empirically investigates antecedents and consequences of clickbait prevalence through an exploratory study of WeChat in China.
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Chang Heon Lee, Yiyang Bian, Rajaa Karaouzene and Nasreen Suleiman
The purpose of this paper is to explore how linguistic style and message substance influence persuasion in civic crowdfunding marketplaces in which written narrative pitch become…
Abstract
Purpose
The purpose of this paper is to explore how linguistic style and message substance influence persuasion in civic crowdfunding marketplaces in which written narrative pitch become a vital communication to attract private contributions to public goods and services. Drawing on the elaboration likelihood model (ELM), the authors operationalize the linguistic style of the narrative pitch as language power and message substance as issue-relevant argument quality. In this paper, the authors examine how characteristics of both style and message are related to the outcome of civic crowdfunded projects.
Design/methodology/approach
The data on civic crowdfunding projects were retrieved from Spacehive, the platform that dedicated mainly to civic projects ranging from community programs, social-oriented enterprises, to infrastructure or facility development. Each of the narrative samples is analyzed using a computerized text analysis package called the Linguistic Inquiry and Word Count to extract the features of the linguistic style and message substance in the narratives. The logistic regression models are estimated to assess the impact of both linguistic style and message substance on crowdfunding decisions.
Findings
The results show that funding outcomes can be improved with psychological language dimensions (i.e. positive affective and perceptual language). However, extensive use of social language does not help project creators to increase their chance of funding performance; but instead, such language reduces the likelihood of project success. Additionally, message substance or issue-relevant information such as money and risk language influences funding outcome.
Originality/value
Very few empirical studies investigated the differential effects of language style and message substance on funding performance of crowdfunding campaigns. The authors draw upon the dual process of persuasion as a theoretical base to identify a comprehensive set of linguistic style and message substance and to examine the role of such features in an emerging civic crowdfunding market. This study advances the application of the dual process in ELM by identifying and examining distinct persuasive cues originating from linguistics styles and message contents.