Benjamin Leiby and Darryl Ahner
This paper aims to examine how the regional variable in country conflict modeling affects forecast accuracy and identifies a methodology to further improve the predictions.
Abstract
Purpose
This paper aims to examine how the regional variable in country conflict modeling affects forecast accuracy and identifies a methodology to further improve the predictions.
Design/methodology/approach
This paper uses statistical learning methods to both evaluate the quantity of data for clustering countries along with quantifying accuracy according to the number of clusters used.
Findings
This study demonstrates that increasing the number of clusters for modeling improves the ability to predict conflict as long as the models are robust.
Originality/value
This study investigates the quantity of clusters used in conflict modeling, while previous research assumes a specific quantity before modeling.
Details
Keywords
Parthasarathi Das and Venugopal Pingali
The purpose of the study is to propose a framework for understanding the dynamism of the human self-system from evolutionary and socio-psychological perspective. The study aims to…
Abstract
Purpose
The purpose of the study is to propose a framework for understanding the dynamism of the human self-system from evolutionary and socio-psychological perspective. The study aims to help scholars interested to use an evolutionary lens for examining consumer behaviour.
Design/methodology/approach
Relying on the principle of self-cybernetics, the study proposed a general framework explaining the operating mechanism of human self-system. The proposed framework incorporates the socio-psychological and the evolutionary perspective of the human self-concept.
Findings
The framework may help consumer scholars to integrate socio-psychological and evolutionary theories to produce novel and testable hypotheses.
Originality/value
To the best of the authors’ knowledge, this is the first attempt to propose a framework based on the principle of cybernetics to facilitate the use of an evolutionary lens in consumer research.
Details
Keywords
Tong Sun and Wanyi Chen
Following the growing adoption of social media, many entrepreneurs are launching personal social media channels. This study focuses on the effect of entrepreneurs' shared…
Abstract
Purpose
Following the growing adoption of social media, many entrepreneurs are launching personal social media channels. This study focuses on the effect of entrepreneurs' shared information on We Media platforms on the value relevance of their earnings.
Design/methodology/approach
Using entrepreneurs' We Media data collected from A-share-listed companies on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2018, this study investigates the effect of the data on the value relevance of earnings using the modified Ohlson model. The authors applied textual analysis to retrieve entrepreneurial We Media data acquired manually from Weibo.
Findings
We Media platforms can increase the value relevance of earnings. Entrepreneurs can enhance investor trust by establishing social ties with investors. Investors are more likely to recognize earnings information publicized by enterprises, owing to internal consistency. Particularly, value relevance improves significantly with more personal information being posted and more “likes” being acquired on entrepreneurs' We Media accounts. This positive effect is more obvious in privately owned and highly marketized regions.
Originality/value
The findings extend the research on the economic consequences of We Media as an important information channel, enrich the research on the social media posting behavior of entrepreneurs and provide a reference for enterprises to instill trust using new information disclosure methods and for governments to establish a safe internet environment to promote the sustainable development of the capital market.