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1 – 8 of 8Yu-Shan Hsu, Yu-Ping Chen, Margaret A. Shaffer and Flora F.T. Chiang
Drawing on expectancy value theory (EVT), this paper examines knowledge exchange between expatriate and host country national (HCN) dyads to understand whether receivers'…
Abstract
Purpose
Drawing on expectancy value theory (EVT), this paper examines knowledge exchange between expatriate and host country national (HCN) dyads to understand whether receivers' perceptions about senders' motivation to transfer knowledge and perceived value of the knowledge jointly affect receivers' motivation to learn and, in turn, facilitate their knowledge acquisition and sharing.
Design/methodology/approach
Latent moderated structural (LMS) equations were used to analyze data from 107 expatriate–HCN dyads working in the Asia Pacific region.
Findings
In general, whether senders are expatriates or HCNs, only when receivers perceive that (1) knowledge to be transferred is valuable and (2) senders are motivated to transfer, receivers are likely to be motivated to receive knowledge transferred from senders and, in turn, acquire and share knowledge with senders.
Originality/value
This study is one of the first in the expatriate and knowledge transfer literature to address the mixed findings between senders' motivation to transfer and receivers' knowledge acquisition and sharing by drawing on EVT.
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Carmen Fu, Yu-Shan Hsu, Margaret A. Shaffer and Hong Ren
The purpose of this paper is to examine the process of self-initiated expatriate (SIE) organizational socialization.
Abstract
Purpose
The purpose of this paper is to examine the process of self-initiated expatriate (SIE) organizational socialization.
Design/methodology/approach
To assess the socialization process, data were collected at three points in time. SIE English teachers were surveyed at three points in time. At Time 3, data from the principals of those teachers who completed surveys at Time 2 were also collected.
Findings
Organizational socialization tactics facilitate social integration and learning speed, which, in turn, are positively related to SIE adjustment. Moreover, SIEs who climbed the learning curve more quickly were only able to capitalize on their learning ability to promote performance when their calculative commitment was low.
Originality/value
First, in contrast with the majority of expatriate socialization studies that tend to focus on the proactive behaviors of expatriates, the authors examine the organizational socialization tactics of a local host organization. Second, they consider the role of calculative commitment, which is especially germane to the SIE context, on SIE performance. Third, this study contributes to the organizational socialization literature by recognizing that socialization is an on-going process that continues to influence employees even after they are no longer “newcomers.” Fourth, the authors assess adjustment directly rather than through proxy measures.
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Marina Dabić, Miriam Moeller, Andrea Caputo and Sebastian Stoermer
Hsiang-Ming Lee, Tsai Chen, Yu-Shan Chen, Wei-Yuan Lo and Ya-Hui Hsu
The purpose of this research is to survey whether consumer ethnocentrism and animosity will affect consumers' perceived betrayal and cause negative word-of-mouth (NWOM).
Abstract
Purpose
The purpose of this research is to survey whether consumer ethnocentrism and animosity will affect consumers' perceived betrayal and cause negative word-of-mouth (NWOM).
Design/methodology/approach
This study conducted a 2 (consumer ethnocentrism) × 3 (consumer animosity) between-subject experiment design to test the hypotheses. Comprised of 380 respondents, this study used ANOVA to examine the data.
Findings
The results showed that if a brand violates the perception of fairness, ethnocentrism and animosity will have a positive effect on perceived betrayal. In addition, low consumer animosity revealed a significant consumer ethnocentrism effect and low ethnocentrism revealed a significant animosity effect, while the relationship between perceived betrayal and word of mouth is negative.
Originality/value
The current research adds to the understanding about how the reaction to a domestic brand's marketing strategies that are viewed as unfair and hurt the domestic consumers' expectations.
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The purpose of this paper is to use data envelopment analysis (DEA) to evaluate the efficiency of the wafer fabrication industry in Taiwan.
Abstract
Purpose
The purpose of this paper is to use data envelopment analysis (DEA) to evaluate the efficiency of the wafer fabrication industry in Taiwan.
Design/methodology/approach
The input variables are total assets, operation costs, and operation expenditures, and the output variable is net sales. This study uses the Pearson correlation to indicate positively correlation between input and output variables, applies DEA to analyze the efficiency scores, and utilizes Mann‐Whitney U‐test to compare the efficiency score of stock exchange market group (SEM group) with that of over‐the‐counter market group (OTC group). Moreover, this paper explores the efficiency performance over different periods by use of the Malmquist productive Index (MPI).
Findings
This study indicates that Taiwan Semiconductor Manufacturing Corporation (TSMC) has the most relative efficiency in the wafer fabrication industry of Taiwan. In addition, this study finds out the average constant returns to scale (CRS) efficiency of the Taiwanese wafer fabrication industry from 1999 to 2003 is 84.98 per cent, and the average CRS efficiencies of all nine wafer fabrication companies are over 70 per cent. This study finds out that net sales and scale efficiency of SEM group are higher than those of OTC group. Moreover, this study shows that the main inefficient causes of four companies of SEM group except TSMC and Nanya are from the inefficiency of variable returns to scale efficiency, while the main inefficient causes of all companies of OTC group are from the inefficiency of scale efficiency. Finally, according the results of the MPI in this study, the wafer fabrication industry should introduce the new technology to improve its technology change effect.
Originality/value
This study provides a valuable reference for wafer fabrication companies not only in reviewing their efficiency, but also in enhancing their operational performance.
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This study aims to investigate whether intellectual capital (IC) and its subcomponents enhance value and improve the profitability of real estate (RE) and infrastructure (INF…
Abstract
Purpose
This study aims to investigate whether intellectual capital (IC) and its subcomponents enhance value and improve the profitability of real estate (RE) and infrastructure (INF) firms in India. In this study, IC is measured through the value-added intellectual coefficient (VAIC) model. The study further extends the VAIC model by incorporating an additional component of social welfare efficiency (SWE).
Design/methodology/approach
The study uses the panel data investigation based on the data of 63 firms (22 RE and 41 INF firms), for a period of 10 years (2008–2017). The dependent variables in the study are return on assets (ROA) and market price to book value ratio (PB), whereas the independent variables are VAIC and its components. The panel is tested for stationarity, heteroscedasticity and multicollinearity problems. Finally, to account for heteroscedasticity and endogeneity, Arellano and Bond's (1991) panel regression estimator with robust estimates are used.
Findings
The findings of the study suggest that IC has a significant influence on the profitability and value of infra firms, whereas capital-employed efficiency (CEE) positively affects the profitability of both RE and INF firms.
Originality/value
The study is an attempt to find the effect of IC and its components on profitability and value of RE and INF firms in India. The author has also extended the VAIC model, which was introduced by Pulic (2000), by adding an additional IC component, i.e. SWE. The study uses Arellano and Bond's (1991) panel regression estimator with robust estimates, which helps produce robust results.
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Duen-Ren Liu, Yu-Shan Liao and Jun-Yi Lu
Providing online news recommendations to users has become an important trend for online media platforms, enabling them to attract more users. The purpose of this paper is to…
Abstract
Purpose
Providing online news recommendations to users has become an important trend for online media platforms, enabling them to attract more users. The purpose of this paper is to propose an online news recommendation system for recommending news articles to users when browsing news on online media platforms.
Design/methodology/approach
A Collaborative Semantic Topic Modeling (CSTM) method and an ensemble model (EM) are proposed to predict user preferences based on the combination of matrix factorization with articles’ semantic latent topics derived from word embedding and latent topic modeling. The proposed EM further integrates an online interest adjustment (OIA) mechanism to adjust users’ online recommendation lists based on their current news browsing.
Findings
This study evaluated the proposed approach using offline experiments, as well as an online evaluation on an existing online media platform. The evaluation shows that the proposed method can improve the recommendation quality and achieve better performance than other recommendation methods can. The online evaluation also shows that integrating the proposed method with OIA can improve the click-through rate for online news recommendation.
Originality/value
The novel CSTM and EM combined with OIA are proposed for news recommendation. The proposed novel recommendation system can improve the click-through rate of online news recommendations, thus increasing online media platforms’ commercial value.
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