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Article
Publication date: 9 March 2020

Yi-Hsuan Lee, Chan Hsiao, Jingjing Weng and Yi-Hsuan Chen

This study examines whether relational capital influences self-disclosure behavior through the mechanism of needs-based motivation in virtual communities.

Abstract

Purpose

This study examines whether relational capital influences self-disclosure behavior through the mechanism of needs-based motivation in virtual communities.

Design/methodology/approach

This study adopts hierarchical linear model (HLM) to differentiate between the relationships at different levels, with 378 online questionnaires recovered from 42 virtual communities.

Findings

The results show that group-level relational capital is positively related to self-disclosure and affects it through the partially mediating mechanism of motivation. Relational capital also strengthens the positive influence of the need to be on trend on individual self-disclosure behavior.

Originality/value

This study makes four research contributions. Firstly, we identify the means by which relational capital established within a virtual community influences user disclosure behavior. This focus differs from those of previous studies, which have emphasized privacy and security of information systems, cost–benefit considerations, and/or adopted personality traits as the research basis. Secondly, this study examines and verifies the mediating mechanism of motivation, establishing an alternative perspective for theoretical studies, and providing future studies with a reference for investigating the self-disclosure behavior of members. Thirdly, this research introduces and verifies the moderating effects of relational capital based on member relationships, thus making further theoretical and empirical contributions. Finally, we adopt HLM to conduct our analyses, thereby ensuring higher precision regarding the explanatory power of group-level explanatory variables for individual-level dependent variables.

Details

Information Technology & People, vol. 34 no. 1
Type: Research Article
ISSN: 0959-3845

Keywords

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Book part
Publication date: 7 May 2019

Mu-Yen Chen, Min-Hsuan Fan, Ting-Hsuan Chen and Ren-Pao Hsieh

Given the maturation of the internet and virtual communities, an important emerging issue in the humanities and social sciences is how to accurately analyze the vast…

Abstract

Given the maturation of the internet and virtual communities, an important emerging issue in the humanities and social sciences is how to accurately analyze the vast quantity of documents on public and social network websites. Therefore, this chapter integrates political blogs and news articles to develop a public mood dynamic prediction model for the stock market, while referencing the behavioral finance perspective and online political community characteristics. The goal of this chapter is to apply a big data and opinion mining approach to a sentiment analysis for the relationship between political status and economic development in Taiwan. The proposed model is verified using experimental datasets collected from ChinaTimes.com, cnYES.com, Yahoo stock market news, and Google stock market news, covering the period from January 1, 2016 to June 30, 2017. The empirical results indicate the accuracy rate with which the proposed model forecasts stock prices.

Details

Politics and Technology in the Post-Truth Era
Type: Book
ISBN: 978-1-78756-984-3

Keywords

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Article
Publication date: 3 January 2020

Ting-Hsuan Chen and Jin-Lung Peng

The purpose of this paper is to review and analyze the characteristics of the literature related to financial innovation, because financial technology (fintech) has been…

Abstract

Purpose

The purpose of this paper is to review and analyze the characteristics of the literature related to financial innovation, because financial technology (fintech) has been appropriately applied in academic circles as well as in the policy-making arena. The authors further estimate the implications of financial innovations for bank performance and liquidity risk.

Design/methodology/approach

The authors use a sample of commercial banks operating in Taiwan over the period 2010–2017 and utilize three proxies for financial innovation including R&D expenditures, financial patents (i.e. innovation applications) and financial news such as that concerning fintech (i.e. innovation intentions).

Findings

The effects of financial innovation on bank performance are mixed, with too much of R&D expenditures having the worst bank performance, whereas innovation intentions benefit their performance. The paper concludes that financial innovation does increase banks’ liquidity risk, thus supporting the innovation-fragility hypothesis.

Originality/value

It is an important issue in academic circles as well as in the policy-making arena to ensure that financial innovation has been appropriately applied.

Details

Library Hi Tech, vol. 38 no. 2
Type: Research Article
ISSN: 0737-8831

Keywords

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Article
Publication date: 2 October 2017

Chung-Hsun Sun, Sheng-Kai Huang, Hsuan Chen, Cheng-Wei Ye, Yin-Tien Wang and Wen-June Wang

Based on laser-range-finder (LRF) sensing, the control design of location and orientation stabilization for the mobile robot is investigated. However, the practical…

Abstract

Purpose

Based on laser-range-finder (LRF) sensing, the control design of location and orientation stabilization for the mobile robot is investigated. However, the practical limitation of the LRF sensing is usually ignored in the control design, which leads to incorrect localization and unexpected control results. The purpose of this study is to design the fuzzy controller subject to the practical limitation on the LRF-based localization for a differentially driven wheeled mobile robot.

Design/methodology/approach

First, the Takagi–Sugeno (T-S) fuzzy model is derived from the polar kinematic model of a differentially driven mobile robot. Then, the fuzzy controller is designed to the derived T-S fuzzy kinematic model in accordance with the Lyapunov stabilization theorem. The derived Lyapunov stabilization conditions for the fuzzy control design are expressed as the linear matrix inequality (LMI) form and effectively solved by LMI tools. The practical limitation on the LRF-based localization is also expressed as the LMI form and simultaneously solved with the control design.

Finding

The location and posture stabilization experiments are carried out on a mobile robot with LRF-based localization to prove the effectiveness of the proposed T-S fuzzy model-based control design. Furthermore, the ground truth experiment evaluates the accuracy of LRF-based localization.

Originality/value

The contribution of this study is to develop the fuzzy control law for a differentially driven wheeled mobile robot under the practical limitation on LRF-based localization. The proposed control design can be applied to other robots with practical limitations on the sensors.

Details

Engineering Computations, vol. 34 no. 7
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 28 January 2020

Yuan-Min Lin, Hsuan Chen, Chih-Hsin Lin, Pin-Ju Huang and Shyh-Yuan Lee

The purpose of this study is to develop resin composite materials composed of polycaprolactone (PCL) acrylates and hydroxyapatite (HA) nanoparticles for ultraviolet…

Abstract

Purpose

The purpose of this study is to develop resin composite materials composed of polycaprolactone (PCL) acrylates and hydroxyapatite (HA) nanoparticles for ultraviolet digital light projection (DLP) three-dimensional (3D) printing technique.

Design/methodology/approach

Two PCL-based triacrylates, namely, glycerol-3 caprolactone-triacrylate (Gly-3CL-TA) and glycerol-6 caprolactone-triacrylate (Gly-6CL-TA) were synthesized from ring-opening polymerization of ε-caprolacton monomer in the presence of glycerol and then acrylation was performed using acryloyl chloride. 3D printing resins made of Gly-3CL-TA or Gly-6CL-TA, 5% HA and 3% of photoinitiator 2,4,6-Trimethylbenzoyl-diphenyl-phosphineoxide were then formulated. The surface topography, surface element composition, flexural strength, flexural modulus, cytotoxicity and degradation of the PCL-based scaffolds were then characterized.

Findings

Resin composite composed of Gly-3CL-TA or Gly-6CL-TA and 5% (w/w) of HA can be printed by 405 nm DLP 3D printers. The former has lower viscosity and thus can form a more uniform layer-by-layer structure, while the latter exhibited a higher flexural strength and modulus after being printed. Both composite materials are non-cytotoxic and degradable.

Originality/value

This study provides a direction of the formulation of environment-friendly resin composite for DLP 3D printing. Both resin composites have huge potential in tissue engineering applications.

Details

Rapid Prototyping Journal, vol. 26 no. 5
Type: Research Article
ISSN: 1355-2546

Keywords

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Article
Publication date: 20 December 2019

Ya Qian, Wolfgang Härdle and Cathy Yi-Hsuan Chen

Interdependency among industries is vital for understanding economic structures and managing industrial portfolios. However, it is hard to precisely model the…

Abstract

Purpose

Interdependency among industries is vital for understanding economic structures and managing industrial portfolios. However, it is hard to precisely model the interconnecting structure among industries. One of the reasons is that the interdependencies show a different pattern in tail events. This paper aims to investigate industry interdependency with the tail events.

Design/methodology/approach

General predictive model of Rapach et al. (2016) is extended to an interdependency model via least absolute shrinkage and selection operator quantile regression and network analysis. A dynamic network approach was applied on the Fama–French industry portfolios to study the time-varying interdependencies.

Findings

A denser network with heterogeneous central industries is found in tail cases. Significant interdependency varieties across time are shown under dynamic network analysis. Market volatility is identified as an influential factor of industry connectedness as well as clustering tendency under both normal and tail cases. Moreover, combining dynamic network with prediction direction information into out-of-sample industry return forecasting, a lower tail case is obtained, which gives the most accurate prediction of one-month forward returns. Finally, the Sharpe ratio criterion prefers high-centrality portfolios when tail risks are considered.

Originality/value

This study examines the industry portfolio interactions under the framework of network analysis and also takes into consideration tail risks. The combination of economic interpretation and statistical methodology helps in having a clear investigation of industry interdependency. Moreover, a new trading strategy based on network centrality seems profitable in our data sample.

Details

Studies in Economics and Finance, vol. 37 no. 1
Type: Research Article
ISSN: 1086-7376

Keywords

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Book part
Publication date: 7 May 2019

Abstract

Details

Politics and Technology in the Post-Truth Era
Type: Book
ISBN: 978-1-78756-984-3

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Book part
Publication date: 1 February 2007

Dwight R. Merunka and Robert A. Peterson

Abstract

Details

Review of Marketing Research
Type: Book
ISBN: 978-0-7656-1306-6

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Abstract

Details

Politics and Technology in the Post-Truth Era
Type: Book
ISBN: 978-1-78756-984-3

To view the access options for this content please click here
Article
Publication date: 1 October 2001

Liang‐Hsuan Chen, Shu‐Yi Liaw and Yeong Shin Chen

Since a firm’s management performance can be evaluated in terms of financial ratios, efficient management using financial factors is proposed as the key element for…

Abstract

Since a firm’s management performance can be evaluated in terms of financial ratios, efficient management using financial factors is proposed as the key element for upgrading a firm’s productivity. Investigates productivity in terms of certain financial factors of large‐scale manufacturing firms in Taiwan. First determines several influential financial factors using factor analysis. Based on these factors, employs fuzzy clustering approaches to categorize the manufacturing firms into several patterns with distinct characteristics of financial factors. Using the characteristics of productivity and financial factors for each pattern, makes two kinds of analysis, and proposes some suggestions to improve the firms’ productivity.

Details

Industrial Management & Data Systems, vol. 101 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

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