Wen‐Chung Guo, Shin‐Rong Shiah‐Hou and Yu‐Wen Yang
The main purpose of this paper is to investigate the relative firms’ performances of equity‐based compensation schemes using a panel regression approach from Taiwanese experience.
Abstract
Purpose
The main purpose of this paper is to investigate the relative firms’ performances of equity‐based compensation schemes using a panel regression approach from Taiwanese experience.
Design/methodology/approach
Previous theory considers executive stock options as an important input in the production process, but the empirical support for the performances of equity‐based compensation schemes is mixed in developed countries. This paper uses a panel data regression to analyze the influence of stock bonus and executive stock option on performance.
Findings
The evidences in Taiwan suggest that there exist positive associations between the amount of stock bonuses and firms’ operating performance. It is also found that firms with larger firm size or high growth opportunity tend to adopt stock bonus
Research limitations/implications
The first limitation is that we the dataset over our sample period 1999‐2001 is still incomplete because the executive stock options allowed by the regulation are not prevalent in Taiwan over that period. The second limitation is the unique stock bonus system in Taiwan is not observed for developed countries.
Practical implications
The result imply a positive association between stock bonus and firm's operating performance. Companies with well‐designed bonus compensation may lead to better performance.
Originality/value
The unique stock bonus compensation schemes in Taiwan are used in general to contribute to the success of the high‐tech companies. This paper first addresses the importance of the stock bonus on compensation issue for high‐tech companies. This added knowledge is beneficial to practitioners and academics whose interest lies in equity‐based compensation and performance.
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Fei-Fei Cheng, Yu-Wen Huang, Hsin-Chun Yu and Chin-Shan Wu
The purpose of this paper is to present the knowledge structure based on the articles published in Library Hi Tech. The research hotspots are expected to be revealed through the…
Abstract
Purpose
The purpose of this paper is to present the knowledge structure based on the articles published in Library Hi Tech. The research hotspots are expected to be revealed through the keyword co-occurrence and social network analysis.
Design/methodology/approach
Data sets based on publications from Library Hi Tech covering the time period from 2006 to 2017 were extracted from Web of Science and developed as testbeds for evaluation of the CiteSpace system. Highly cited keywords were analyzed by CiteSpace which supports visual exploration with knowledge discovery in bibliographic databases.
Findings
The findings suggested that the percentage of publications in the USA, Germany, China, and Canada are high. Further, the most popular keywords identified in Library Hi Tech were: “service,” “technology,” “digital library,” “university library,” and “academic library.” Finally, four research issues were identified based on the most-cited articles in Library Hi Tech.
Originality/value
While keyword plays an important role in scientific research, limited studies paid attention to the keyword analysis in librarian research. The contribution of this study is to systematically explore the knowledge structure constructed by the keywords in Library Hi Tech.
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The purpose of this study is to discover valuable customers for enterprises. The international market of Taiwan airlines can be enhanced; thus, this study aims at Taiwan’s airline…
Abstract
Purpose
The purpose of this study is to discover valuable customers for enterprises. The international market of Taiwan airlines can be enhanced; thus, this study aims at Taiwan’s airline market as a research area.
Design/methodology/approach
This research uses data mining technologies with a proposed model to analyse airline customer values for big data online marketing systems, such as customer relationship management (CRM) system. The research applied supervised apriori algorithm, socio-economic variables and a proposed model to discover the rules/markets.
Findings
The results show that eight markets were discovered and three association rules were established for business systems of airlines.
Originality/value
The valuable travellers/markets can be discovered by this research. By collecting shoppers’ transactional data, global online CRM and point of sales (POS) systems can be big data marketing systems. The research framework can be easily applied in online CRM/POS or big data marketing systems for international airlines; however, it is for other global businesses as well.
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The purpose of this study is to explore how nationalistic appeals may affect consumers’ perception and purchasing of targeted brands. Qualitative historical data from old China…
Abstract
Purpose
The purpose of this study is to explore how nationalistic appeals may affect consumers’ perception and purchasing of targeted brands. Qualitative historical data from old China (1900–1949) reveal that social movement groups can adopt nationalistic appeals assisted by meaning framing – defined as a creative interpretation of symbols, designs, behaviors, social events and cultural identities to serve social and political goals – to shape consumers’ attitudes toward foreign brands. After examining the mechanisms and processes underlying consumer boycotts from 1900 to 1949, the responsive strategies of affected foreign companies are illustrated.
Design/methodology/approach
Critical historical research method is applied to historical data and historical “traces” from China’s corporate documents, memoirs, posters, advertisements, newspapers and secondhand sources documenting Chinese boycotts from 1900 to 1949.
Findings
Consumers may pursue interests beyond economic interests. Nationalistic appeals can mobilize consumer boycotts against foreign brands that were perceived to support or relate to targeted countries. Political framing of certain events shapes consumers’ perceptions and concomitant brand choices.
Research limitations/implications
Although differences between historical and current contexts may require tailoring past marketing strategies to current conditions, past strategies can inform current and future strategies.
Practical implications
Strategies adopted by foreign companies in old China (1900–1949) can help contemporary companies design effective marketing strategies for a hostile marketplace infused with nationalistic appeals and competing interests.
Social implications
Although local companies can adopt economic or political nationalism to realize their economic goals, it represents a double-edged sword that can harm national brands.
Originality/value
A historical analysis of nationalistic business appeals in pre-1949 China can inform the counterstrategies modern companies adopt to overcome consumer boycotts.
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Yu-Teng Jacky Jang, Anne Yenching Liu and Wen-Yu Ke
The purpose of this paper is to investigate the effects of anthropomorphism and identify factors related to adopting voice shopping on smart speakers.
Abstract
Purpose
The purpose of this paper is to investigate the effects of anthropomorphism and identify factors related to adopting voice shopping on smart speakers.
Design/methodology/approach
Progress in partial least squares structural equation modeling (PLS-SEM) approach is used to test the proposed research framework regarding anthropomorphism and user perceptions on voice shopping via smart speakers. Individuals' responses to questions about attitude and intention to use voice shopping via smart speakers were collected and analyzed.
Findings
The results showed that anthropomorphism had a positive influence on satisfaction, which, in turn, had a positive impact on intention to adopt voice shopping, and customers had positive opinions regarding smart speakers.
Research limitations/implications
This study only reflects a younger perspective on smart speaker voice shopping. This study identified the characteristics of smart speakers that increase customers' intention to purchase, which can be used to formulate sales strategies and management guidelines.
Practical implications
This research provided a new perspective to enable practitioners to promote smart speakers for voice shopping. Smart speaker manufacturers can utilize the findings of this research to improve the system design of smart speakers to further facilitate voice shopping.
Originality/value
Unlike previous studies, which focused on product attributes of smart speakers or voice shopping experiences, this study provided a clear picture of how the anthropomorphic feature of smart speakers affects customers' intention to adopt voice shopping.
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The purpose of this paper is to propose a data mining approach for mining valuable markets for online customer relationship management (CRM) marketing strategy. The industry of…
Abstract
Purpose
The purpose of this paper is to propose a data mining approach for mining valuable markets for online customer relationship management (CRM) marketing strategy. The industry of coffee shops in Taiwan is employed as an empirical case study in this research.
Design/methodology/approach
Via a proposed data mining approach, the study used fuzzy clustering algorithm and Apriori algorithm to analyze customers for obtaining more marketing and purchasing knowledge of online CRM systems.
Findings
The research found three hard markets and one fuzzy market. Furthermore, the study discovered two association rules and two fuzzy association rules.
Originality/value
However, industry of coffee shops has been always a fast-growing and competitive business around the world. Thus, marketing strategy is important for this industry. The results and the proposed data mining approach of this research can be used in the industry of coffee shop or other retailers for their online CRM marketing systems.
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Nowadays, the agricultural business environment is expended to the whole world. Transaction records in point of sales and customer relationship management (CRM) systems can be…
Abstract
Purpose
Nowadays, the agricultural business environment is expended to the whole world. Transaction records in point of sales and customer relationship management (CRM) systems can be large-scale data for long-established global chain businesses. Thus, the purpose of this paper is to using a proposed data mining approach to discover valuable markets/customers of urban coffee shop industry (retailer) in current environment of Taiwan, which can implement the industry's data-driven marketing strategy on a CRM system.
Design/methodology/approach
In this research approach, Ward's method, C5.0 decision tree and a proposed model are applied for discovering valuable markets and mining useful customer rules.
Findings
These found markets and discovered rules can be applied on marketing information or CRM system for identifying valuable customers and target markets.
Originality/value
In this study, the CRM system can be the media for the data-driven marketing strategy in environment of Taiwan. The approach of this research can be applied on other businesses for their data-driven marketing strategies as well.
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Since the beginning of the new millennium, Confucian doctrines on one’s self-cultivation have been re-introduced to curriculum in China. The revived cherish of the Confucian…
Abstract
Since the beginning of the new millennium, Confucian doctrines on one’s self-cultivation have been re-introduced to curriculum in China. The revived cherish of the Confucian legacy in the twenty-first century is a reverse from the official rejection of Confucianism in the Mao era (1950–1976). It also appears as a counterweight to the individualism proliferating among the Chinese youths born at the beginning of the new millennium (Gen Z). The re-introduction of Confucianism is thus ideologically purposeful. Yet how does the mixed exposure to Confucius’ legacy and the modern idea of self-awareness impact this cohort of young people, in particular their way of learning? This chapter focusses on Chinese Gen Z studying in Australia. Using the Bourdieuan theory of human habitus, this chapter examines how these students negotiate between the ideas of self-cultivation and self-awareness, and what implications such experiences have in an intercultural academic community.