So‐de Shyu, Yi Jeng, W.H. Ton, Kon‐jung Lee and H.M. Chuang
With the development of the modern portfolio theory and the advancement of information technology, the employment of quantitative approaches to practically measure asset risks and…
Abstract
Purpose
With the development of the modern portfolio theory and the advancement of information technology, the employment of quantitative approaches to practically measure asset risks and returns, and the construction of portfolios (even dynamic portfolios) has become possible and popular. Therefore, the purpose of this paper is to construct a multi‐factor model for Taiwan stock universe using fundamental technical descriptors and then to apply the equity market neutral investing using multiple‐factor models as a tool.
Design/methodology/approach
This study constructs a Taiwan equity multi‐factor model using cross‐sectional fundamental technical approach.
Findings
The model involves 28 explanatory factors (including 20 industry factors), and the results of the estimations are satisfactory. The model's explanatory power is 58.6 per cent on average. Furthermore, this multi‐factor model is feasible, modulized, dynamic (i.e. modified over time) and updating.
Originality/value
The multi‐factor model, constructed and utilized in this study, is a useful and feasible tool. It generates important inputs into the applications of building market neutral portfolio.
Purpose
Taiwan OTC market is an electronic, order driven, call market. The purpose of this paper is to gain understanding of whether trade size or number of transaction provides more information on explaining price volatility and market liquidity in this market. The paper also aims to investigate how market condition can affect the relationship between information type and trading activities.
Design/methodology/approach
The paper uses data from the Taiwan OTC market to run the empirical tests. It divides firms into five size groups based on their market capitalization. Regression equations are run to test: whether number of transactions has a more significant impact on price volatility on the Taiwan OTC market; the impact of market information on number of transactions; the relative impact of firm specific and market information on number of transactions; and the impact of number of transaction of bid‐ask spread.
Findings
Findings show that the larger the number of transactions, the higher the price volatility. Smaller firms on the Taiwan OTC market are traded based on firm‐specific information. This relation is further affected by market trends. Especially for the larger firms, when the market is up and the amount of market information increases, number of transactions increases. When the market is down and the amount of market information increases, number of transactions decreases. Finally, it is found spread size is more likely to be influenced by number of transactions, instead of trade size. Overall, based on these empirical results, the information content of number of transactions seems to be higher than that of trade size in the Taiwan OTC market.
Practical implications
Investors now understand that number of transaction actually carry more information than trade size does.
Originality/value
The relation between market information and number of transaction, also that between market information and trade size is influenced by market condition. The paper fills a gap in the literature to show that market condition has an impact on the relation between information type and trader's behavior. A number of transactions are identified that provide more information than trade size does. It is also shown that market conditions can further affect the impact of information on trading activities.
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Ching-Hsuan Yeh, Yi-Shun Wang, Shin-Jeng Lin, Timmy H. Tseng, Hsin-Hui Lin, Ying-Wei Shih and Yi-Hsuan Lai
Considering that users’ information privacy concerns may affect the development of e-commerce, the purpose of this paper is to explore what drives internet users’ willingness to…
Abstract
Purpose
Considering that users’ information privacy concerns may affect the development of e-commerce, the purpose of this paper is to explore what drives internet users’ willingness to provide personal information; further, the paper examines how extrinsic rewards moderate the relationship between users’ information privacy concerns and willingness to provide personal information.
Design/methodology/approach
Data collected from 345 valid internet users in the context of electronic commerce were analyzed using the partial least squares approach.
Findings
The result showed that agreeableness, risk-taking propensity and experience of privacy invasion were three main antecedents of information privacy concerns among the seven individual factors. Additionally, information privacy concerns did not significantly affect users’ willingness to provide personal information in the privacy calculation mechanism; however, extrinsic rewards directly affected users’ disclosure intention. The authors found that extrinsic rewards had not moderated the relationship between users’ information privacy concerns and their willingness to provide personal information.
Originality/value
This study is an exploratory effort to develop and validate a model for explaining why internet users were willing to provide personal information. The results of this study are helpful to researchers in developing theories of information privacy concerns and to practitioners in promoting internet users’ willingness to provide personal information in an e-commerce context.
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My-Trinh Bui and Don Jyh-Fu Jeng
The purpose of this study is to investigate coproduction behavior in networking alumni communities via the progress from platform belongingness, knowledge sharing and citizenship…
Abstract
Purpose
The purpose of this study is to investigate coproduction behavior in networking alumni communities via the progress from platform belongingness, knowledge sharing and citizenship behavior. Alumni networking communities have emerged as valuable assets for conserving institutional resources, supporting members and contributing new resources for alumni-institutional professional development. However, the previous literature has not yet captured the explicit processes by which these contributions are made.
Design/methodology/approach
Data from 711 respondents selected from an alumni collaboration network were subjected to structural equation modeling analysis.
Findings
The study explored resource conservation (belongingness) as the primary relational mechanism for alumni to share their instrumental resources (knowledge sharing), supporting resources (citizenship behavior) and competent resources (coproduction behavior). Knowledge sharing and citizenship behavior act as intermediate agents to trigger coproduction behavior. The authors show how subjective norm, group norm and trust is regarded as a tool to reduce bonding intrusiveness (i.e. the intrusive side-effects of a bond) and moderate the indirect effect of belongingness on coproduction and the direct effect of citizenship on coproduction.
Research limitations/implications
By applying attachment theory, conservation of resources theory and digital platform networking perspectives, this study describes major implications for designing inspiring and compatible community platforms.
Practical implications
Guidance is provided for improving sustainable alumni communities through citizenship-sharing and coproduction behavior.
Social implications
Online alumni communities are regarded as resource conservators, which can result in valuable coproduction, via the sharing of knowledge, expertise and skillsets to create profit for a range of institutions and industries.
Originality/value
Alumni networking platforms encourage alumni cohesiveness, stimulate knowledge exchange and improve professionalism.
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You-De Dai, Giun-Ting Yeh, Tsungpo Tsai, Yi-Chun Chen and Yuan-Chiu Chen
This study develops a structural model to examine the relationships among subjective perception of health, subjective perception of economic and social support, the perceived…
Abstract
This study develops a structural model to examine the relationships among subjective perception of health, subjective perception of economic and social support, the perceived freedom in leisure, leisure satisfaction, and the well-being of elders. The subject of this study is the elderly who participated in leisure activities at Evergreen Academy in Kaohsiung City. Convenience sampling and quota sampling are adopted. 1,200 self-administered questionnaires are distributed, and 535 are valid, with a response rate of 45%. The results of this study show that subjective perception of health will positively affect perceived freedom in leisure; subjective perception of economics will positively affect perceived freedom in leisure and well-being; social support will positively affect perceived freedom in leisure, leisure satisfaction, and well-being; perceived freedom in leisure will positively affect leisure satisfaction and well-being; leisure satisfaction will positively affect well-being. There are significant differences in the subjective perception of economic and social support between male and female elders. There are significant differences in the subjective perception of economic, leisure satisfaction, and well-being among those with different education levels.
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Surya Prakash, Satish Kumar, Gunjan Soni, Raj V. Mahto and Nitesh Pandey
This study aims to present an overview of leading research trends in the lean six sigma domain published in the International Journal of Lean Six Sigma (IJLSS) since its inception.
Abstract
Purpose
This study aims to present an overview of leading research trends in the lean six sigma domain published in the International Journal of Lean Six Sigma (IJLSS) since its inception.
Design/methodology/approach
The study analyses articles published between 2010 and 2019 in IJLSS using the bibliometric technique. The results of data analysis identify the most prolific authors, their affiliation, citation trends and highly cited articles from the journal. Further, a graphical analysis involving bibliographic coupling and co-citation analysis of the corpus enriches the investigation.
Findings
The results of the bibliometric analysis suggest that the number of IJLSS’s publications and citations grew markedly over time (from 4 citations in 2010 to nearly 1,324 in 2019). The organizational diversity and collaboration among authors publishing in IJLSS are trending upwards. Case study and focus group are the two most common research designs in publications. In the study, three major themes emerged: implementation of lean on business, integration of lean and six sigma and the effects of lean six sigma on businesses.
Practical implications
The study finding informs and educates practitioners and scholars about various qualitative research tools, applications and methods of implementing lean six sigma tools in different industry sectors.
Originality/value
The study uses bibliometric analysis to propose a novel categorization of research published in IJLSS and to report on the utilization of various lean tools in the journal. The study provides guidance for new future research besides offering a thorough introspection of the lean and six sigma domains.
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Shruti J. Raval, Ravi Kant and Ravi Shankar
The purpose of this paper is to examine and introduce comprehensive insights into the field of Lean Six Sigma (LSS) by reviewing the existing literature and identifying the…
Abstract
Purpose
The purpose of this paper is to examine and introduce comprehensive insights into the field of Lean Six Sigma (LSS) by reviewing the existing literature and identifying the research gap. The state of LSS research is assessed by critically examining the field, along with a number of dimensions, including time horizon, year, journal and publisher, university, country, author, geographic analysis, research design, research affairs, research methods, tools/techniques used, focus industries, major research area, benefits gained by LSS, critical success factors and barriers of LSS implementation.
Design/methodology/approach
This paper is based on a systematic literature review of 190 articles containing the word LSS in their title, which are published in a well-known database, such as Elsevier ScienceDirect, Taylor and Francis, Emerald Full Text, Springer Link, Wiley InterScience and Inderscience from January 2000 to September 2016.
Findings
This analysis reveals 15 significant dimensions to identify the state of LSS research. Authors find a noticeable rise in the attention of LSS research in the available literature. Major findings show that, the empirical research holds greater credibility. Statistics prove that the case study method scores the highest among all the research methods used in the discipline. The largest number of studies have investigated research issues related to implementation and process of LSS. The LSS uses a wide range of tools/techniques/methodologies: the choice of tools is situation-specific. Manufacturing and health-care sectors have been the focus of LSS research, but LSS has also been adopted by other types of industries. The organizations following LSS have improved bottom-line results, improved company profitability and growth and enhanced customer satisfaction. In general the research is more interpretive in nature; there is still a lack of standard in the LSS implementation framework.
Research limitations/implications
This study is limited to reviewing those articles which contain the word LSS appeared in the title.
Originality/value
This study will help understand the current state of research on LSS, various trends in the field, its applicability and future prospects of investigation in the field.
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Vishal Vyas, Ankur Roy and Sonika Raitani
Understanding the effect of competitor’s marketing activities as well as analyzing the impact of one’s own marketing activities is equally important. The purpose of this paper is…
Abstract
Purpose
Understanding the effect of competitor’s marketing activities as well as analyzing the impact of one’s own marketing activities is equally important. The purpose of this paper is to determine the role of competing bank’s marketing activities (i.e. competitor’s price and product variety) and main bank’s characteristics (bank’s reputation and expertise) in the cross-buying intentions of customers by studying the interrelationships among these.
Design/methodology/approach
This study has adopted a hybrid model of confirmatory factor analysis and the decision-making trial and evaluation laboratory. Data were gathered from two different samples of bank customers and bank experts, using closed-ended questionnaire.
Findings
The results revealed that competitor’s price influences the cross-buying intentions of customers more than the reputation and expertise of primary bank. Bank’s reputation, expertise and competitor’s price were found causing factors. The remaining two factors, namely competitor’s product variety and cross-buying intentions, were belonging to the effect group.
Practical implications
For practice, this study guides banking institutions for resource allocation. Continuous and extensive staff training should be provided to sales staff. Bank should realize customers that they are getting much more value in return of what they are paying.
Originality/value
This study is one of few studies in marketing literature which investigates the effect of competitors on cross-buying.
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İsmail Gökhan Cintamür and Cenk Arsun Yüksel
The purpose of this paper is to develop and validate a reliable and valid alternative scale to measure customer-based corporate reputation (CBCR) specific to the banking industry…
Abstract
Purpose
The purpose of this paper is to develop and validate a reliable and valid alternative scale to measure customer-based corporate reputation (CBCR) specific to the banking industry only, where high risks and uncertainties of choosing a service provider exist.
Design/methodology/approach
Both qualitative and quantitative methods were employed to develop and validate an alternative scale to measure CBCR in the banking industry. Following Churchill’s (1979) paradigm and other prominent scale development studies, a scale development procedure was generated, which consists of three main stages: scale generation and initial purification, scale refinement and scale validation.
Findings
As a consequence of the current study, a reliable and valid multidimensional scale was obtained, consisting of 20 items and four dimensions to measure CBCR in banking industry: financial performance and financially strong company, customer orientation, social and environmental responsibility and trust.
Practical implications
This study provides insight to managers to comprehend and manage their CBCR. Since this study has empirically demonstrated that the four dimensions of the CBCR are associated with the five important customer outcome variables, the study provides further support toward the importance of corporate reputation in strategic marketing decisions in the banking industry.
Originality/value
Numerous different disciplines have focused on corporate reputation measurement by adapting different perspectives and approaches. However, a reliable and valid measurement tool has been proposed here to evaluate corporate reputation from customers’ perspective specific to banking industry.
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Tan Ping Yi, Chin Jeng Feng, Joshua Prakash and Loh Wei Ping
In electronics assembly, the losses of electronic components throughout the surface‐mounting process (including kitting and setup) are hard to trace. This affects accurate…
Abstract
Purpose
In electronics assembly, the losses of electronic components throughout the surface‐mounting process (including kitting and setup) are hard to trace. This affects accurate material planning and manufacturing costing. This paper aims to investigate this issue and to generate a suitable mixture of strategies for the relevant causes.
Design/methodology/approach
The project is executed by an undergraduate manufacturing engineering student and several company engineers over a period of ten weeks. Define, measure, analyze, improve, and control (DMAIC) approach delineates the project stages. The solutions devised must be in agreement with lean philosophies and practices currently upheld in the company.
Findings
Component losses stem from multiple sources and are complicated by inherent information inaccuracies. A right mixture of strategies is envisaged on analysis on these sources. An average 18 percent of decrement in component losses in monetary value is achieved in the initial 16 weeks of the improvement phase.
Research limitations/implications
The DMAIC approach induces a focused, systematic and thorough study on the selected area. For the limitations, this study is based on a single industrial case. The evidence may be anecdotal and idiosyncratic to the electronics assembly industry. The final solutions which emerged need to factor in the organization current maturities in Lean and Six Sigma concepts.
Practical implications
Component loss is a common problem faced by electronics assembly industries. In this paper, the nature of the problem and the related investigation are extensively illustrated in the context of the case study. As many electronics assembly industries have embarked on Lean or Lean Six Sigma journeys, the savings and data accuracy improvement achieved in this case study provide valuable benchmarks.
Originality/value
The issues related to electronic component losses have not been reported in established literature to date. This is also the first reported success case study of applying DMAIC to address these issues in a lean company.
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Wann‐Yih Wu, Chwan‐Yi Chiang and Jeng‐Sin Jiang
The major purpose of this study is empirically to investigate the relationships among management styles of top management teams (TMT), decision‐making modes, and organizational…
Abstract
The major purpose of this study is empirically to investigate the relationships among management styles of top management teams (TMT), decision‐making modes, and organizational learning and innovation for manufacturing firms in Taiwan. Through a series of questionnaire surveys on 115 stock‐listed manufacturing firms in Taiwan, conclusions: arrives at the following firms having TMT with a higher level of empowerment and consensus management style tend to adopt a participative decision‐making mode and emphasize team learning; firms having TMT with aggressive and internal interaction characters tend to exercise higher levels of organizational learning and innovation; and firms with a higher extent of organizational learning tend to adopt participative decision‐making modes and perform better in innovation.