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Article
Publication date: 12 January 2021

Hui Yuan, Yuanyuan Tang, Wei Xu and Raymond Yiu Keung Lau

Despite the extensive academic interest in social media sentiment for financial fields, multimodal data in the stock market has been neglected. The purpose of this paper…

Abstract

Purpose

Despite the extensive academic interest in social media sentiment for financial fields, multimodal data in the stock market has been neglected. The purpose of this paper is to explore the influence of multimodal social media data on stock performance, and investigate the underlying mechanism of two forms of social media data, i.e. text and pictures.

Design/methodology/approach

This research employs panel vector autoregressive models to quantify the effect of the sentiment derived from two modalities in social media, i.e. text information and picture information. Through the models, the authors examine the short-term and long-term associations between social media sentiment and stock performance, measured by three metrics. Specifically, the authors design an enhanced sentiment analysis method, integrating random walk and word embeddings through Global Vectors for Word Representation (GloVe), to construct a domain-specific lexicon and apply it to textual sentiment analysis. Secondly, the authors exploit a deep learning framework based on convolutional neural networks to analyze the sentiment in picture data.

Findings

The empirical results derived from vector autoregressive models reveal that both measures of the sentiment extracted from textual information and pictorial information in social media are significant leading indicators of stock performance. Moreover, pictorial information and textual information have similar relationships with stock performance.

Originality/value

To the best of the authors’ knowledge, this is the first study that incorporates multimodal social media data for sentiment analysis, which is valuable in understanding pictures of social media data. The study offers significant implications for researchers and practitioners. This research informs researchers on the attention of multimodal social media data. The study’s findings provide some managerial recommendations, e.g. watching not only words but also pictures in social media.

Details

Internet Research, vol. 31 no. 3
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 6 November 2017

Chou-Kang Chiu, Chieh-Peng Lin, Yuan-Hui Tsai and Siew-Fong Teh

The purpose of this paper is to explore the development of knowledge sharing from the perspectives of broaden-and-build theory and expectancy theory. Its research purpose…

Abstract

Purpose

The purpose of this paper is to explore the development of knowledge sharing from the perspectives of broaden-and-build theory and expectancy theory. Its research purpose is to understand how knowledge sharing is driven by such predictors as optimism, pessimism, and positive affect through their complex interactions with collectivism or power distance. In the proposed model of this study, knowledge sharing relates to optimism and pessimism via the partial mediation of positive affect. At the same time, the influence of optimism, pessimism, and positive affect on knowledge sharing are moderated by the national culture of collectivism and power distance, respectively.

Design/methodology/approach

This study’s hypotheses were empirically tested using data from high-tech firms across Taiwan and Malaysia. Of the 550 questionnaires provided to the research participants, 397 usable questionnaires were collected (total response rate of 72.18 percent), with 237 usable questionnaires from Taiwanese employees and 160 usable questionnaires from Malaysian employees. The data from Taiwan and Malaysia were pooled and analyzed using: confirmatory factor analysis for verifying data validity, independent sample t-tests for verifying the consistency with previous literature regarding cultural differences, and hierarchical regression analysis for testing relational and moderating effects.

Findings

This study demonstrates the integrated application of the broaden-and-build theory and expectancy theory for understanding optimism, pessimism, and positive affect in the development of knowledge sharing. The test results confirm that positive affect partially mediates the relationship between optimism and knowledge sharing and fully mediates the relationship between pessimism and knowledge sharing. Moreover, collectivism and power distance have significant moderating effects on most of the model paths between knowledge sharing and its predictors except for the relationship between pessimism and knowledge sharing.

Originality/value

This study extends the expectancy theory to justify how optimistic and pessimistic expectations are stable traits that dominate the way employees share their knowledge sharing. This study shows how collectivism and power distance of Hofstede’s cultural framework can be blended with the broaden-and-build theory and expectancy theory to jointly explain knowledge sharing. Besides, this study provides additional support to the adaptation theory of well-being that suggests psychosocial interventions, which manage to enhance well-being by leveraging positive affect, hold the promise of reducing stressful symptoms and boosting psychological resources among employees.

Details

Cross Cultural & Strategic Management, vol. 25 no. 3
Type: Research Article
ISSN: 2059-5794

Keywords

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Article
Publication date: 6 November 2017

Chieh-Peng Lin, Yuan-Hui Tsai and Ferdinandus Mahatma

To deepen our understanding about the development of turnover intention, the purpose of this paper is to develop a conceptual model based on the stress theory to explain…

Abstract

Purpose

To deepen our understanding about the development of turnover intention, the purpose of this paper is to develop a conceptual model based on the stress theory to explain cross-country differences in the formation of turnover intention, complementing previous literature that mainly emphasizes the effect of monetary compensation on turnover intention without taking into account anxiety and pressure.

Design/methodology/approach

Empirical testing of this model by investigating personnel across Taiwan’s and Indonesia’s banks confirms the applicability of stress theory in cross-cultural business management. Of the 161 Chinese-language questionnaires distributed to the employees from the three large banks in Taiwan, 137 usable questionnaires were returned for a response rate of 85 percent. At the same time, of the 234 Indonesian-language questionnaires distributed to the employees from the two large banks in Indonesia, 219 usable questionnaires were returned for a response rate of 93.6 percent.

Findings

This research reveals that mental disengagement fully mediates the indirect relationship between performance-related anxiety and turnover intention, while positive reinterpretation fully mediates the indirect relationship between work pressure and turnover intention. Furthermore, the effects of performance-related anxiety and work pressure on turnover intention are moderated by cross-country differences.

Originality/value

First, the finding concerning the full mediating role of mental disengagement complements prior justifications of the conservation of resources theory. Second, the finding of this study regarding the full mediating role of positive reinterpretation complements the previous findings of Taylor’s (1983) theory of cognitive adaptation, which conceptualizes employees as active agents in restoring the psychological equilibrium in the aftermath of a competitive pressurized event.

Details

Personnel Review, vol. 46 no. 8
Type: Research Article
ISSN: 0048-3486

Keywords

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Article
Publication date: 6 February 2017

Chieh-Peng Lin, Min-Ling Liu, Sheng-Wuu Joe and Yuan-Hui Tsai

To complement previous research on team performance, the purpose of this paper is to analyze the development of team performance and top management approval at the team…

Abstract

Purpose

To complement previous research on team performance, the purpose of this paper is to analyze the development of team performance and top management approval at the team level. In the proposed model, team performance and top management approval are influenced by the team leader’s charisma, teamwork exhaustion, and goal clarity via the full mediation of team planning. The effects of the leader’s charisma and goal clarity on team planning are moderated by teamwork exhaustion.

Design/methodology/approach

Empirical testing of this model based on hierarchical regression modeling, by investigating team personnel in high-tech firms, confirms the applicability of team planning among these firms’ work teams.

Findings

A team leader’s charisma and goal clarity positively relate to team planning, while teamwork exhaustion is not associated with team planning. Team planning further positively relates to team performance and top management approval, respectively. A team leader’s charisma negatively moderates the relationship between teamwork exhaustion and team planning, while goal clarity positively moderates the relationship between teamwork exhaustion and team planning.

Originality/value

While previous literature has focused in depth on team planning and its antecedents and outcomes, there still exists an important gap regarding potential moderation in the formation of team planning. This study provides some important findings that complement previous literature by examining three fresh exogenous determinants for explaining team planning, their interaction effects, and how they indirectly relate to team performance and top management approval via the full mediation of team planning.

Details

Personnel Review, vol. 46 no. 1
Type: Research Article
ISSN: 0048-3486

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Article
Publication date: 8 June 2021

Hui Yuan and Weiwei Deng

Recommending suitable doctors to patients on healthcare consultation platforms is important to both the patients and the platforms. Although doctor recommendation methods…

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Abstract

Purpose

Recommending suitable doctors to patients on healthcare consultation platforms is important to both the patients and the platforms. Although doctor recommendation methods have been proposed, they failed to explain recommendations and address the data sparsity problem, i.e. most patients on the platforms are new and provide little information except disease descriptions. This research aims to develop an interpretable doctor recommendation method based on knowledge graph and interpretable deep learning techniques to fill the research gaps.

Design/methodology/approach

This research proposes an advanced doctor recommendation method that leverages a health knowledge graph to overcome the data sparsity problem and uses deep learning techniques to generate accurate and interpretable recommendations. The proposed method extracts interactive features from the knowledge graph to indicate implicit interactions between patients and doctors and identifies individual features that signal the doctors' service quality. Then, the authors feed the features into a deep neural network with layer-wise relevance propagation to generate readily usable and interpretable recommendation results.

Findings

The proposed method produces more accurate recommendations than diverse baseline methods and can provide interpretations for the recommendations.

Originality/value

This study proposes a novel doctor recommendation method. Experimental results demonstrate the effectiveness and robustness of the method in generating accurate and interpretable recommendations. The research provides a practical solution and some managerial implications to online platforms that confront information overload and transparency issues.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 1 August 2019

Min Li, Wenyuan Huang, Chunyang Zhang and Zhengxi Yang

The purpose of this paper is to draw on triadic reciprocal determinism and social exchange theory to examine how “induced-type” and “compulsory-type” union participation…

Abstract

Purpose

The purpose of this paper is to draw on triadic reciprocal determinism and social exchange theory to examine how “induced-type” and “compulsory-type” union participation influence union commitment and job involvement, and how union participation in the west differs from that in China. It also examines whether the role of both organizational justice and employee participation climate (EPC) functions in the Chinese context.

Design/methodology/approach

Cross-sectional data are collected from 694 employees in 46 non-publicly owned enterprises, both Chinese and foreign, in the Pearl River Delta region of China. A multi-level moderated mediation test is used to examine the model of this research.

Findings

Union participation is positively related to organizational justice, union commitment and job involvement. In addition, organizational justice acts as the mediator among union participation, union commitment and job involvement. Specifically, the mediating role of organizational justice between union participation and union commitment, and between union participation and job involvement, is stronger in high-EPC contexts than low-EPC contexts.

Originality/value

Instead of examining the impacts of attitudes on union participation, as per most studies in the western context, this research examines the impacts of union participation in the Chinese context on attitudes, including union commitment and job involvement. It also reveals the role of both organizational justice and EPC in the process through which union participation influences union commitment and job involvement.

Details

Employee Relations: The International Journal, vol. 41 no. 6
Type: Research Article
ISSN: 0142-5455

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Article
Publication date: 1 January 1996

Peter Zhou

This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in…

Abstract

This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North America and eight Chinese libraries in China, Taiwan and Hong Kong. The survey discussed current electronic resources for Chinese studies, with a union list of major Chinese language databases currently used in libraries in Asia and the US. Current views on the use and development of electronic resources for Chinese studies were summarised.

Details

The Electronic Library, vol. 14 no. 1
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 9 March 2010

HuiYuan Fan, Junhong Liu and Jouni Lampinen

The purpose of this paper is to improve the existing differential evolution (DE) mutation operator so as to accelerate its convergence.

Abstract

Purpose

The purpose of this paper is to improve the existing differential evolution (DE) mutation operator so as to accelerate its convergence.

Design/methodology/approach

A new general donor form for mutation operation in DE is presented, which defines a donor as a convex combination of the triplet of individuals selected for a mutation. Three new donor schemes from that form are deduced.

Findings

The three donor schemes were empirically compared with the original DE version and three existing variants of DE by using a suite of nine well‐known test functions, and were also demonstrated by a practical application case – training a neural network to approximate aerodynamic data. The obtained numerical simulation results suggested that these modifications to the mutation operator could improve the DE's convergence performance in both the convergence rate and the convergence reliability.

Research limitations/implications

Further research is still needed for adequately explaining why it was possible to simultaneously improve both the convergence rate and the convergence reliability of DE to that extent despite the well‐known “No Free Lunch” theorem. Also further research is considered necessary for outlining more distinctively the particular class of problems, where the current observations can be generalized.

Practical implications

More complicated engineering problems could be solved sub‐optimally, whereas their real optimal solution may never be reached subject to the current computer capability.

Originality/value

Though DE has demonstrated a considerably better convergence performance than the other evolutionary algorithms (EAs), its convergence rate is still far from what is hoped for by scientists. On the one hand, a higher convergence rate is always expected for any optimization method used in seeking the global optimum of a non‐linear objective function. On the other hand, since all EAs, including DE, work with a population of solutions rather than a single solution, many evaluations of candidate solutions are required in the optimization process. If evaluation of candidate solutions is too time‐consuming, the overall optimization cost may become too expensive. One often has to limit the algorithm to operate within an acceptable time, which maybe is not enough to find the global optimum (optima), but enough to obtain a sub‐optimal solution. Therefore, it is continuously necessary to investigate the new strategies to improve the current DE algorithm.

Details

Engineering Computations, vol. 27 no. 2
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 17 February 2012

Xinya Yang, Hui Yuan, Huanwen Cheng and Pak‐sing Andrew Liu

It is important for digital library to attract users to be reliant on the library. Besides providing research resources, the library still has many ways to achieve this…

Abstract

Purpose

It is important for digital library to attract users to be reliant on the library. Besides providing research resources, the library still has many ways to achieve this goal. This article aims to experiment on the library merit system which provides different ways to enhance users' viscosity on using library.

Design/methodology/approach

For the experiment, a merit system was developed and implemented; users' feedback was collected by a questionnaire survey for analysis.

Findings

The results showed that the degree of users' viscosity on the digital library was increased and several areas for a successful digital library portal should be paid more attention to.

Originality/value

The merit system can successfully increase users' viscosity with digital library.

Details

Library Management, vol. 33 no. 3
Type: Research Article
ISSN: 0143-5124

Keywords

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Article
Publication date: 1 February 2006

HuiYuan Fan, Jouni Lampinen and Yeshayahou Levy

To present and validate a new differential evolution (DE) method for multi‐objective optimization method.

Abstract

Purpose

To present and validate a new differential evolution (DE) method for multi‐objective optimization method.

Design/methodology/approach

A new selection scheme was designed to replace the existing one in DE to enable DE applicable to either single objective or multi‐objective optimizations.

Findings

The new method was validated with three simple multi‐objective optimization problems. The simulation results show that the approach is capable of generating an approximated Pareto‐front for each selected problem. The new DE method was used to optimize a prototype air mixer subject to two objective functions to be minimized. The results demonstrate that the new DE approach can handle this practical multi‐objective problem successfully.

Originality/value

The new method is an easy‐to‐implement evolutionary method and has the potential for application for any complicated engineering optimizations.

Details

Engineering Computations, vol. 23 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

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