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1 – 10 of over 29000Xin Wang, Yingcheng Xu, Li Wang, Xiaobo Xu and Yong Chen
This study aims to the information about consumer product quality and safety that can easily attract public attention and become the focus of public opinion. In recent years, the…
Abstract
Purpose
This study aims to the information about consumer product quality and safety that can easily attract public attention and become the focus of public opinion. In recent years, the fast-growing social media have become an import platform for firms for releasing product quality and safety information and for firms and governments to hear public opinion.
Design/methodology/approach
To explore how information about consumer product quality and safety gets disseminated and a public opinion is formed in social media, this paper proposes two information transmission models, one with government intervention and the other without government intervention, based on the theory of complex network. A simulation case study in MATLAB is conducted to verify the proposed models.
Findings
Information transmission models were constructed, one without government intervention and one with government intervention. The influence of information transmission with government intervention was analyzed. MATLAB was used to simulate the Barabasi and Albert (BA)-based model to consider event information level, government information level and possible panic population proportion. The government intervention effect was evaluated.
Originality/value
Based on a complex network, the derived transmission rule can provide decision-making support for monitoring and managing Web information of consumer product quality and safety.
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Xiwei Wang, Yunfei Xing, Yanan Wei, QingXiao Zheng and Guochun Xing
Social media, especially microblog, has become one of the most popular platforms for public opinion dissemination. However, so far few studies have been conducted to explore…
Abstract
Purpose
Social media, especially microblog, has become one of the most popular platforms for public opinion dissemination. However, so far few studies have been conducted to explore information dissemination under the mobile environment. This paper aims to introduce the approach to analyze the public opinion information dissemination in mobile social networks.
Design/methodology/approach
This paper chooses “network attack” as the research topic and extracts 23,567 relevant messages from Sina Microblogs to study the structure of nodes for public opinion dissemination and the characteristics of propagation paths on mobile internet. Public opinion dissemination is compared on both mobile and non-mobile terminals.
Findings
The results reveal the characteristics of public opinion dissemination in mobile environment and identify three patterns of information propagation path. This study concludes that public opinion on mobile internet propagates more widely and efficiently and generates more impact than that on the non-mobile internet.
Social implications
The methods used in this study can be useful for the government and other organizations to analyze and identify problems in online information dissemination.
Originality/value
This paper explores the mechanism of public opinion dissemination on mobile internet in China and further investigates how to improve public opinion management through a case study related to “network attack.”
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The paper discusses the notion of information with regard to its carriers, representatives (or structural carriers) and carried-related processes of transmission, accumulation and…
Abstract
Purpose
The paper discusses the notion of information with regard to its carriers, representatives (or structural carriers) and carried-related processes of transmission, accumulation and processing through the developmental periods of the inorganic and organic world. In the first period, information is contained in a representation of the outcome of physical, chemical and other processes in the physical, chemical and other structures of the non-living world and refers to environmental information. In the second period, information begins to be used to create the physical and chemical structures of the living world and is contained in instructions of the genetic code. In the third period, with the evolution of cognitive systems and intelligence of living beings, in addition to those listed, information is finally being used to build its own structures, which in this paper are called knowledge structures.
Design/methodology/approach
In addition to the usual scientific methods in conceptual papers of this type (analysis, synthesis, etc.), the methodology of the paper also relies on the method of analogy, which was used to detect the carriers and representatives of information in the processes of transmission, accumulation and processing of information and the method of classification in order to propose a new taxonomy related to the concept of information.
Findings
The paper shows that information carriers and information representatives appear in each of the three mentioned processes - transmission, accumulation and processing of information - and that they need to be distinguished from the information itself. This insight opened a new perspective in observing this concept and led to the proposal of a new taxonomy related to the concept of information in a given context, eliminating seemingly incommensurable approaches to its study in different scientific fields.
Originality/value
The conducted synthesis results in information being recognized as a transmittable/transmissible documentation of reality inseparable from its carrier and its representative.
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Joseph Kwon, Ingoo Han and Byoungsoo Kim
Social media have attracted attention as an information channel for content generated in heterogeneous internet services. Focusing on social media platforms, the purpose of this…
Abstract
Purpose
Social media have attracted attention as an information channel for content generated in heterogeneous internet services. Focusing on social media platforms, the purpose of this paper is to examine the factors behind social transmission with content crossover from other services through hypertext link (URL). The authors investigate the effects of source influence and peer referrals on diffusion outcome and address their variations in the case of content crossover.
Design/methodology/approach
The authors use a Poisson regression model due to the discrete nature of the dependent variable. The authors conduct an empirical study using 233 million real transaction data generated by 1,203,196 Korean users of Twitter.
Findings
Source influence and peer referral have a positive impact on cascade size in the content dissemination process. In the case of content crossover, the impact of source influence decreases. However, the impact of peer referrals increases in the process of external content dissemination.
Research limitations/implications
The authors demonstrate source and peer effects on content diffusion and that these effects vary when shared content is linked from an external service by a URL.
Practical implications
The findings indicate that firms that wish to diffuse information through social media or enter the social media with new services to provide new ways of creating and sharing content should understand the nature of the social transmission process.
Originality/value
Given the growing popularity of social media, particularly SNSs with online social networks as information channels, the authors first consider online social transmission as a user-driven diffusion process. Based on social factors in the diffusion process, the authors derive source and peer effects on the social transmission process.
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Fahmi Abdul Rahim, Noryati Ahmad and Ismail Ahmad
The purpose of this paper is to investigate the transmission of information (at return and volatility level) as well as the correlation between Kuala Lumpur Syariah and Jakarta…
Abstract
Purpose
The purpose of this paper is to investigate the transmission of information (at return and volatility level) as well as the correlation between Kuala Lumpur Syariah and Jakarta Islamic Indices.
Design/methodology/approach
The daily return from July 4, 2000 to December 29, 2006 was employed in the bivariate VAR GJR‐GARCH model.
Findings
The results indicate significant unidirectional return and volatility transmissions from Kuala Lumpur Syariah and the Jakarta Islamic Indices. There is no evidence of asymmetric effects in volatility for both markets. However, volatility is highly persistent and mean‐reverting in each market. The findings also revealed that there is low correlation between the two Islamic stock markets investigated.
Research limitations/implications
The data used in this study are limited to the Islamic stock markets located in South East Asia, concentrating more on the post‐economic crisis period analysis. Further research may be conducted using a different time period and frequency of data while utilizing more Islamic indices. In addition, future research may look at and compare the market interdependence of Islamic stock markets in different economic conditions such as the pre‐economic crisis period, during an economic crisis period or post‐economic crisis period.
Practical implications
Market participants such as investors and market analysts should include the Malaysian Islamic stock market in forecasting market price movement and the volatility of the Indonesian Islamic stock market. In addition, both the Kuala Lumpur Syariah and Jakarta Islamic Indices offer potential for diversification to investors who wish to create an Islamic portfolio investment. From the regulator point of view, this study highlighted the fact that the Jakarta Stock Exchange should consider the Malaysian Islamic stock market in setting its policy to control the volatility of the Indonesian Islamic stock market because the source of volatility in Indonesian market is not only from the market itself, but also from the Malaysian market. On the other hand, in controlling the volatility of the Islamic Malaysian market, Bursa Malaysia should only implement a policy related to the Malaysian market because the source of volatility only comes from the local markets. Finally, the policy makers in both markets do not need to implement long‐range measures to reduce the impact of volatility persistence in these markets.
Originality/value
This is the first paper to investigate information transmission and market interdependence between the Islamic stock markets in South East Asia.
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The study investigates the amplitude and direction of the movement of information between spot and futures indices. The study progresses to account for the investor's…
Abstract
Purpose
The study investigates the amplitude and direction of the movement of information between spot and futures indices. The study progresses to account for the investor's heterogeneity and compare the evolving structure of investors in emerging and developed economies. Further, the structural linkages in terms of returns and variance have been explored for the futures indices to contribute to meteor shower literature as explained by Engle et al. (1990); Yarovaya et al. (2017).
Design/methodology/approach
To facilitate the purpose, the Indian and Chinese markets were selected to represent emerging economies and the United States for developed one. The bivariate wavelet cum BEKK-GARCH (1,1) model was estimated.
Findings
For the developed markets, like the United States, the spot market improves its information transmission role with time horizon while exactly opposite holds for the Chinese market. A bidirectional overnight information spillover was found for all three pairs. The Indian futures market was vulnerable to bad news from the other two markets. Evidence suggesting the dominance of institutional investors in the Chinese futures market and retail investors in the Indian futures market is found.
Originality/value
The spot–futures relation has been studied on both the time and frequency domains considering different investment horizons. Due consideration has been taken to account for the overlapping trading hours.
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Heewoo Park and Yuen Jung Park
This study analyzes the impact of the information environment (IE) and credit default swap (CDS) transaction costs on information transmission between the stock and CDS markets…
Abstract
This study analyzes the impact of the information environment (IE) and credit default swap (CDS) transaction costs on information transmission between the stock and CDS markets. Using the daily regression analysis on the Korean firm’s stock and CDS data from 2004 to 2023, the results show that companies with superior IE in the stock market exhibit a larger and more sensitive total information flow from the stock market to the CDS market. Companies with lower transaction costs in the CDS market demonstrate faster information flow. In the case of companies with superior IE, fundamental information is reflected in stock prices with high weight and thus the CDS spreads change reflecting information about stock prices. According to this study’s findings, the primary factor influencing the information flow from the stock market to the CDS market is the information environment of the company in the stock market, rather than transaction costs in the CDS market.
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One challenge facing the digitalized workplace is communication control, especially emotion regulation in which individuals try to manage their emotional experiences and/or…
Abstract
Purpose
One challenge facing the digitalized workplace is communication control, especially emotion regulation in which individuals try to manage their emotional experiences and/or expressions during organizational communication. Extant research largely focused on the facilitating role of a few media features (e.g. fewer symbol sets). This study seeks to provide a deeper understanding of media features that individuals, as receivers of negative emotions expressed by communication partners, could leverage to support regulating negative emotional communication in the workplace.
Design/methodology/approach
This study used qualitative research methods to identify media features that support regulating negative emotional communication at work. Data were collected using interviews and was analyzed using directed content analysis in which media features discussed in media synchronicity theory (MST) were used as the initial coding schema but the researcher was open to media features that do not fit with MST.
Findings
In addition to media features (and capabilities) discussed in MST, this study identified five additional media features (i.e. message broadcasting, message blocking, receiving specification, recipient specification and compartmentalization) and two underlying media capabilities (i.e. transmission control capability and participant control capability) that may support regulating negative emotional communication. Two major mechanisms (i.e. reducing or eliminating emotion regulation workload, and providing prerequisites or removing obstacles for emotion regulation) via which media features support emotion regulation were also identified.
Originality/value
This paper provides a more comprehensive understanding regarding communication media features that may support emotion regulation in particular and communication control in general. Findings of this study contribute to several literatures and may also transfer to other similar contexts.
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Mai Miyabe, Akiyo Nadamoto and Eiji Aramaki
– This aim of this paper is to elucidate rumor propagation on microblogs and to assess a system for collecting rumor information to prevent rumor-spreading.
Abstract
Purpose
This aim of this paper is to elucidate rumor propagation on microblogs and to assess a system for collecting rumor information to prevent rumor-spreading.
Design/methodology/approach
We present a case study of how rumors spread on Twitter during a recent disaster situation, the Great East Japan earthquake of March 11, 2011, based on comparison to a normal situation. We specifically examine rumor disaffirmation because automatic rumor extraction is difficult. Extracting rumor-disaffirmation is easier than extracting the rumors themselves. We classify tweets in disaster situations, analyze tweets in disaster situations based on users' impressions and compare the spread of rumor tweets in a disaster situation to that in a normal situation.
Findings
The analysis results showed the following characteristics of rumors in a disaster situation. The information transmission is 74.9 per cent, representing the greatest number of tweets in our data set. Rumor tweets give users strong behavioral facilitation, make them feel negative and foment disorder. Rumors of a normal situation spread through many hierarchies but the rumors of disaster situations are two or three hierarchies, which means that the rumor spreading style differs in disaster situations and in normal situations.
Originality/value
The originality of this paper is to target rumors on Twitter and to analyze rumor characteristics by multiple aspects using not only rumor-tweets but also disaffirmation-tweets as an investigation object.
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