The purpose of this paper is to understand the similarities and differences between the Twitter users who tweeted on journal articles in psychology and political science…
Abstract
Purpose
The purpose of this paper is to understand the similarities and differences between the Twitter users who tweeted on journal articles in psychology and political science disciplines.
Design/methodology/approach
The data were collected from Web of Science, Altmetric.com, and Twitter. A total of 91,826 tweets with 22,541 distinct Twitter user profiles for psychology discipline and 29,958 tweets with 10,478 distinct Twitter user profiles for political science discipline were used for analysis. The demographics analysis includes gender, geographic location, individual or organization user, academic or non-academic background, and psychology/political science domain knowledge background. A machine learning approach using support vector machine (SVM) was used for user classification based on the Twitter user profile information. Latent Dirichlet allocation (LDA) topic modeling was used to discover the topics that the users discussed from the tweets.
Findings
Results showed that the demographics of Twitter users who tweeted on psychology and political science are significantly different. Tweets on journal articles in psychology reflected more the impact of scientific research finding on the general public and attracted more attention from the general public than the ones in political science. Disciplinary difference in term of user demographics exists, and thus it is important to take the discipline into consideration for future altmetrics studies.
Originality/value
From this study, researchers or research organizations may have a better idea on who their audiences are, and hence more effective strategies can be taken by researchers or organizations to reach a wider audience and enhance their influence.
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Tint Hla Hla Htoo and Jin-Cheon Na
The purpose of this paper is to contribute to the understanding of altmetrics in different disciplines of social science: first, by investigating the current richness and future…
Abstract
Purpose
The purpose of this paper is to contribute to the understanding of altmetrics in different disciplines of social science: first, by investigating the current richness and future potential of altmetrics in the selected social science disciplines and then by evaluating the validity of altmetrics as indicators of research impact in each discipline through correlation analysis.
Design/methodology/approach
This study uses three approaches to understand the current richness and future potential of ten altmetric measures in nine selected disciplines: first, investigate the distribution and trend of altmetric data; second, verify the relationship between citation rate and altmetric presence of the discipline using Pearson correlation; and third, perform word frequency analysis on tweets to understand different altmetric presence in different disciplines. In addition, this study uses Spearman and sign test to find the correlation between altmetrics and citation counts for the articles that receive altmetric mention(s) to test the validity of altmetrics as indicators of research impact.
Findings
There is a steady increase in the number of articles that receive altmetric mentions in all disciplines studied. In general, disciplines with higher citation rates have higher altmetric presence. At the same time, altmetrics are also an effective complement to citation in disciplines with low citation rates. There is a moderate correlation with Mendeley and significant but weak correlations with Tweets and CiteULike in seven disciplines. Altmetrics appear effective as a predictor of citation counts in seven out of nine disciplines studied. However, there is low presence and lack of correlation with citation count in business-finance and law disciplines.
Originality/value
This paper furthers the understanding of altmetrics in social science disciplines. It reveals the disciplines where altmetrics are most effective, potentially useful, and fairly applicable. In addition, it presents evidence that altmetrics are an effective complement to citation in disciplines with low citation rates.
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Na Jin, Naiding Yang, Sayed Muhammad Fawad Sharif and Ruimeng Li
Collaborative research and development have remained a pertinent mechanism for conducting technological innovations. With the lens of knowledge-based view (KBV), this study aims…
Abstract
Purpose
Collaborative research and development have remained a pertinent mechanism for conducting technological innovations. With the lens of knowledge-based view (KBV), this study aims to examine the role of changes in knowledge couplings and network cohesion to elevate innovation performance.
Design/methodology/approach
Data analysis has been performed on 53,459 patents through regression analysis with random effects. These independent and joint patents are extracted from Derwent Innovation Database.
Findings
Findings explicate that change in external existing or existing and new knowledge couplings have inverted U-shaped effects on a firm’s innovation performance. Changes in internal existing or existing and new knowledge couplings have direct positive effects on firm’s innovation performance. The moderation effect of network cohesion flattens the inverted U-shaped effect of external new and existing knowledge coupling, whereas it has no significant effect on external existing knowledge coupling. Network cohesion further elevates the effects of internal knowledge couplings – existing or existing and new.
Research limitations/implications
This study theoretically contributes to KBV and innovation management literature by highlighting the scope of changes in internal and external knowledge couplings and subsequent output. Network cohesion flattens the curviness of changes in external new and existing knowledge couplings, which is a contribution to strategic management literature.
Practical implications
Organizations need to carefully manage changes in knowledge couplings and ensure their benefits (obtain new knowledge domain or new combination) outweigh liabilities (damages to organizational routines or increase in collaboration costs). Managers must consider four kinds of knowledge coupling changes along with developing network cohesion as an R&D strategy.
Originality/value
This study is one of its types to flatten the curve through network cohesion. This study divided the changes in knowledge coupling into four types and two dimensions; external existing and new and existing knowledge couplings and internal existing and new and existing knowledge couplings.
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Yingxin Estella Ye and Jin-Cheon Na
By analyzing journal articles with high citation counts but low Twitter mentions and vice versa, the purpose of this paper is to provide an overall picture of differences between…
Abstract
Purpose
By analyzing journal articles with high citation counts but low Twitter mentions and vice versa, the purpose of this paper is to provide an overall picture of differences between citation counts and Twitter mentions of academic articles.
Design/methodology/approach
Citation counts from the Web of Science and Twitter mentions of psychological articles under the Social Science Citation Index collection were collected for data analysis. An approach combining both statistical and simple content analysis was adopted to examine important factors contributing to citation counts and Twitter mentions, as well as the patterns of tweets mentioning academic articles.
Findings
Compared to citation counts, Twitter mentions have stronger affiliations with readability and accessibility of academic papers. Readability here was defined as the content size of articles and the usage of jargon and scientific expressions. In addition, Twitter activities, such as the use of hashtags and user mentions, could better facilitate the sharing of articles. Even though discussions of articles or related social phenomena were spotted in the contents of tweets, simple counts of Twitter mentions may not be reliable enough for research evaluations due to issues such as Twitter bots and a deficient understanding of Twitter users’ motivations for mentioning academic articles on Twitter.
Originality/value
This study has elaborated on the differences between Twitter mentions and citation counts by comparing the characteristics of Twitter-inclined and citation-inclined articles. It provides useful information for interested parties who would like to adopt social web metrics such as Twitter mentions as traces of broader engagement with academic literature and potential suggestions to increase the reliability of Twitter metrics. In addition, it gives specific tips for researchers to increase research visibility and get attention from the general public on Twitter.
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Xingyu Ken Chen, Jin-Cheon Na, Luke Kien-Weng Tan, Mark Chong and Murphy Choy
The COVID-19 pandemic has spurred a concurrent outbreak of false information online. Debunking false information about a health crisis is critical as misinformation can trigger…
Abstract
Purpose
The COVID-19 pandemic has spurred a concurrent outbreak of false information online. Debunking false information about a health crisis is critical as misinformation can trigger protests or panic, which necessitates a better understanding of it. This exploratory study examined the effects of debunking messages on a COVID-19-related public chat on WhatsApp in Singapore.
Design/methodology/approach
To understand the effects of debunking messages about COVID-19 on WhatsApp conversations, the following was studied. The relationship between source credibility (i.e. characteristics of a communicator that affect the receiver's acceptance of the message) of different debunking message types and their effects on the length of the conversation, sentiments towards various aspects of a crisis, and the information distortions in a message thread were studied. Deep learning techniques, knowledge graphs (KG), and content analyses were used to perform aspect-based sentiment analysis (ABSA) of the messages and measure information distortion.
Findings
Debunking messages with higher source credibility (e.g. providing evidence from authoritative sources like health authorities) help close a discussion thread earlier. Shifts in sentiments towards some aspects of the crisis highlight the value of ABSA in monitoring the effectiveness of debunking messages. Finally, debunking messages with lower source credibility (e.g. stating that the information is false without any substantiation) are likely to increase information distortion in conversation threads.
Originality/value
The study supports the importance of source credibility in debunking and an ABSA approach in analysing the effect of debunking messages during a health crisis, which have practical value for public agencies during a health crisis. Studying differences in the source credibility of debunking messages on WhatsApp is a novel shift from the existing approaches. Additionally, a novel approach to measuring information distortion using KGs was used to shed insights on how debunking can reduce information distortions.
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Siyoung Chung, Mark Chong, Jie Sheng Chua and Jin Cheon Na
The purpose of this paper is to investigate the evolution of online sentiments toward a company (i.e. Chipotle) during a crisis, and the effects of corporate apology on those…
Abstract
Purpose
The purpose of this paper is to investigate the evolution of online sentiments toward a company (i.e. Chipotle) during a crisis, and the effects of corporate apology on those sentiments.
Design/methodology/approach
Using a very large data set of tweets (i.e. over 2.6m) about Company A’s food poisoning case (2015–2016). This case was selected because it is widely known, drew attention from various stakeholders and had many dynamics (e.g. multiple outbreaks, and across different locations). This study employed a supervised machine learning approach. Its sentiment polarity classification and relevance classification consisted of five steps: sampling, labeling, tokenization, augmentation of semantic representation, and the training of supervised classifiers for relevance and sentiment prediction.
Findings
The findings show that: the overall sentiment of tweets specific to the crisis was neutral; promotions and marketing communication may not be effective in converting negative sentiments to positive sentiments; a corporate crisis drew public attention and sparked public discussion on social media; while corporate apologies had a positive effect on sentiments, the effect did not last long, as the apologies did not remove public concerns about food safety; and some Twitter users exerted a significant influence on online sentiments through their popular tweets, which were heavily retweeted among Twitter users.
Research limitations/implications
Even with multiple training sessions and the use of a voting procedure (i.e. when there was a discrepancy in the coding of a tweet), there were some tweets that could not be accurately coded for sentiment. Aspect-based sentiment analysis and deep learning algorithms can be used to address this limitation in future research. This analysis of the impact of Chipotle’s apologies on sentiment did not test for a direct relationship. Future research could use manual coding to include only specific responses to the corporate apology. There was a delay between the time social media users received the news and the time they responded to it. Time delay poses a challenge to the sentiment analysis of Twitter data, as it is difficult to interpret which peak corresponds with which incident/s. This study focused solely on Twitter, which is just one of several social media sites that had content about the crisis.
Practical implications
First, companies should use social media as official corporate news channels and frequently update them with any developments about the crisis, and use them proactively. Second, companies in crisis should refrain from marketing efforts. Instead, they should focus on resolving the issue at hand and not attempt to regain a favorable relationship with stakeholders right away. Third, companies can leverage video, images and humor, as well as individuals with large online social networks to increase the reach and diffusion of their messages.
Originality/value
This study is among the first to empirically investigate the dynamics of corporate reputation as it evolves during a crisis as well as the effects of corporate apology on online sentiments. It is also one of the few studies that employs sentiment analysis using a supervised machine learning method in the area of corporate reputation and communication management. In addition, it offers valuable insights to both researchers and practitioners who wish to utilize big data to understand the online perceptions and behaviors of stakeholders during a corporate crisis.
Details
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Jin-Cheon Na and Yingxin Estella Ye
The purpose of this paper is to provide a comprehensive understanding of scholarly discussions of academic publications on the social web and to further discuss the validity of…
Abstract
Purpose
The purpose of this paper is to provide a comprehensive understanding of scholarly discussions of academic publications on the social web and to further discuss the validity of altmetrics as a research impact assessment tool for academic articles.
Design/methodology/approach
Facebook posts citing psychological journal papers were collected for both quantitative and qualitative analyses. A content analysis approach was adopted to investigate topic preferences and motivations for scholarly discussions among academic and non-academic Facebook users.
Findings
Non-academic users were more actively engaged in scholarly discussions on Facebook than academic users. Among 1,711 Facebook users in the sample, 71.4 percent of them belonged to non-academic users, while 28.6 percent were from an academic background. The Facebook users cited psychological articles with various motivations: discussion and evaluation toward articles (20.4 percent), application to real life practices (16.5 percent), self-promotion (6.4 percent), and data source exchange (6.0 percent). However, nearly half of the posts (50.1 percent) were simply sharing articles without additional user comments. These results implicate that Facebook metric (a count of mentions of a research article on Facebook), as an important source of altmetrics, better reflects the attitudes or perceptions of the general public instead of academia.
Originality/value
This study contributes to the literature by enriching the understanding of Facebook metric as an academic and non-academic impact assessment tool for scientific publication. Through the content analysis of Facebook posts, it also draws insights into the ways in which non-academic audiences are engaging with scholarly outputs.
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Chenglin Qing, Xiu Jin and Yonghui Xu
The global business environment has brought about great innovation according to the advent of the fourth industrial revolution era. Most of the enterprises are focusing on…
Abstract
Purpose
The global business environment has brought about great innovation according to the advent of the fourth industrial revolution era. Most of the enterprises are focusing on adapting to the era of the fourth industrial revolution and trying to find appropriate strategies. Competitiveness among enterprises is changing fiercely. Such environments are threatening to the sustainability of enterprises. In this regard, it is a key issue that how enterprises can be sustainable and gain competitive advantage. Based on this background, this study emphasized the importance of environmental involvement. Enterprise can improve its image through environmental involvement. Since enterprise image is a variable that directly impacts enterprise growth and performance, it promotes the sustainability of the enterprise. Therefore, this study aims to explore the improvement factors of environmental immersion and verified its influence.
Design/methodology/approach
This study focused on creating shared value as a factor to improve environmental involvement. It is divided into three components, which are economic values, social values and cooperative values, respectively. The role of these three factors in enhancing environmental involvement was clearly identified and the process of enhancing enterprise image was verified.
Findings
The mediating effect of environmental involvement on the relationship between creative shared values (economic values, social values and cooperative values) and enterprise image was demonstrated.
Originality/value
This study emphasized the importance of environmental immersion in the era of the fourth industrial revolution and provided a way to improve enterprise image, which is directly related to the sustainability of the enterprise.
Details
Keywords
Le Thi Hong Na, Jin-Ho Park and Minjung Cho
Accounting for seventy five percent of urban housing in Vietnam, street houses refer to a mixed-use housing typology that emerged in the 17th century. Such housing has evolved in…
Abstract
Accounting for seventy five percent of urban housing in Vietnam, street houses refer to a mixed-use housing typology that emerged in the 17th century. Such housing has evolved in response to Vietnam's unique culture and environmental conditions. Residential and commercial functions are integrated in a flexible and expandable manner, creating a variety of compositional possibilities in spatial layouts. In addition, transitional spaces such as courtyards, balconies, loggia, and terraces provide shading, cooling, and ventilation effects throughout the building. As one of the most adaptive and popular urban dwellings, the street house has promoted daily domestic activities and the identities of Vietnamese urban areas. However, such valuable aspects have received less attention in many recent urban developments in Vietnam. As such, the goal of this study is to identify and analyze the unparalleled ingenuity of the street house, particularly focusing on its spatial flexibility and environmental responsiveness. Furthermore, this study is intended to apply analytical investigations to the design of contemporary high-rise housing in Vietnam.
With such purposes, this paper is structured in two sequences. In the first phase, typological characteristics of the street house are studied; a field survey is performed to address the evolutionary transformation of the street house. By studying several precedents in Vietnam, our study focused on understanding the ways in which spaces are manipulated and in which diverse indoor and outdoor spaces are created. In addition, passive environmental systems are studied, meaning systems that are integrated with the spaces in order to control the microclimatic conditions of the house. Next, the morphology of the forms and space components are carefully examined through the contemporary examples of street house models in Vietnam. Especially, the flexible nature of the street house, in terms of spatial composition and expansion, is identified. In the second phase, a transition from the street house to high-rise housing is explored based on the previous analytical studies; compositional logic for arranging internal and external spaces are outlined to generate typological unit plans of street houses. Out of diverse design possibilities, an exemplary high-rise building is proposed to address the notions of spatial flexibility and integrated passive systems that are found in the street house. Ultimately, the proposed design aims to enrich dwelling environments for new high-rise urban communities.
Details
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Le Thi Hong Na and Jin-Ho Park
This paper focuses on the potential applications of eco-features in Vietnamese traditional folk houses to contemporary high-rise housing. One of the main characteristics of…
Abstract
This paper focuses on the potential applications of eco-features in Vietnamese traditional folk houses to contemporary high-rise housing. One of the main characteristics of traditional folk houses is that they are designed with a deep understanding of and respect for nature. This type of housing also expresses the way of life of its users, having evolved over generations while adapting to their needs, culture, and environment. Whereas the traditional Vietnamese houses can be an important source in the creation of a Vietnamese architectural identity, the design-with-nature approach and its unique characteristics are, however, scarcely found in the contemporary high-rise housing in Vietnam.
The objective of this research is to investigate the potential applications of eco-features in Vietnamese traditional folk houses to contemporary high-rise urban housing. Initially, this study examines the unique spatial characteristics of the traditional folk houses typical in northern Vietnam. In particular, four houses at the Duong Lam Village in northern Vietnam are reviewed. Some of the ecological design elements are extracted from the spatial composition of the typical Vietnamese folk houses in relation to the local climate conditions and the Vietnamese lifestyle (vernacular culture). Finally, this paper attempts to develop new housing models in urban Vietnam, employing the ecological elements learned from the preceding assessment.