The Hurst exponent has been very important in telling the difference between fractal signals and explaining their significance. For estimators of the Hurst exponent, accuracy and…
Abstract
Purpose
The Hurst exponent has been very important in telling the difference between fractal signals and explaining their significance. For estimators of the Hurst exponent, accuracy and efficiency are two inevitable considerations. The main purpose of this study is to raise the execution efficiency of the existing estimators, especially the fast maximum likelihood estimator (MLE), which has optimal accuracy.
Design/methodology/approach
A two-stage procedure combining a quicker method and a more accurate one to estimate the Hurst exponent from a large to small range will be developed. For the best possible accuracy, the data-induction method is currently ideal for the first-stage estimator and the fast MLE is the best candidate for the second-stage estimator.
Findings
For signals modeled as discrete-time fractional Gaussian noise, the proposed two-stage estimator can save up to 41.18 per cent the computational time of the fast MLE while remaining almost as accurate as the fast MLE, and even for signals modeled as discrete-time fractional Brownian motion, it can also save about 35.29 per cent except for smaller data sizes.
Originality/value
The proposed two-stage estimation procedure is a novel idea. It can be expected that other fields of parameter estimation can apply the concept of the two-stage estimation procedure to raise computational performance while remaining almost as accurate as the more accurate of two estimators.
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Fan-Chen Tseng, Ching-Ter Chang, Hsing-Chen Lee and Ching-I Teng
Gender swapping – when gamers choose avatars of the opposite gender to their own – is a common feature of online gaming behavior, and recent studies have explored the reasons for…
Abstract
Purpose
Gender swapping – when gamers choose avatars of the opposite gender to their own – is a common feature of online gaming behavior, and recent studies have explored the reasons for it. However, no study has yet examined the role gender swapping plays in determining gamers’ continual engagement with communication via online games, i.e., online gamer loyalty. Therefore, the purpose of this paper is to examine this issue and develop hypotheses based on interdependence theory in the online gaming context.
Design/methodology/approach
Responses from a survey of 255 online gamers were used for the analysis.
Findings
Analytical results using structural equation modeling indicate that gender-swapping behavior is negatively related to social intelligence, which in turn is negatively related to network convergence (the extent of sharing a common social circle), thus contributing to relational switching costs and online gamer loyalty.
Originality/value
This study is the first to examine how gender swapping affects online gamer loyalty.
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Ya-Hsueh Chuang, Tsan-Ching Kang, Wen-Ching Chang and Po-Ju Chen
By the end of this session, students should be able to: explain what a business model is; summarize the case firm’s business strategy using the elements of business model canvas…
Abstract
Learning outcomes
By the end of this session, students should be able to: explain what a business model is; summarize the case firm’s business strategy using the elements of business model canvas proposed by Alexander Osterwalder and practice how to apply the business model canvas to analyze the business model of a firm; understand how a firm can seize an opportunity for innovation; and discuss how the case firm navigated through problems that came up as it grew.
Case overview/synopsis
Creative Design was a start-up company in Taiwan. To fulfill a course requirement while she was still in school, the founder had formed a team and entered an entrepreneurship competition. They won the second runner up award in that competition and impressed some firms who enquired if they would be interested in doing corporate identity system (CIS) design. They discovered that without establishing a corporate structure their prospective clients would be unable to pay an invoice. As a consequence, the founder and one of the team members established Creative Design Ltd. This case discusses the challenge Creative Design faced at the end of 2012. Wonderland farmers’ association (WFA) wanted to market locally grown jasmine but did not know how to go about it. They reached out to the founder and her company for assistance. The case of WFA was uncharted territory. Creative Design already had extensive experience in CIS design, but it did not have any experience in handling agriculture products. In this case, they had to deal with the full supply chain from production to exhibition. The risk for this project was high but Creative Design accepted the case and became the first design firm offering a “total solution.” Currently, Creative Design works with all kinds of cases, from simple CIS designs to more complicated total solutions of various scales. The founder now has to contemplate if the design house should develop more total solution cases. Doing so would require recruiting more staff and the dilemma of balancing revenue and costs.
Complexity academic level
The case study is designed for the undergraduate and graduate students of the College of Management; the case can be adopted for the courses of management, innovation and entrepreneurship, etc.
Supplementary materials
Teaching Notes are available for educators only.
Subject code
CSS: 3 Entrepreneurship.
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Keywords
Ching-Tzu Chang and Sheng-Fen Cheng
Taiwan promotes social enterprises with the Social Enterprise Action Plan and Social Innovation Action Plan, focusing on solving social problems and achieving sustainable…
Abstract
Purpose
Taiwan promotes social enterprises with the Social Enterprise Action Plan and Social Innovation Action Plan, focusing on solving social problems and achieving sustainable development goals. This study aims to clarify the impetus for the above policies and determines whether the relevant policy tools can achieve the established policy goals.
Design/methodology/approach
This study adopts the in-depth interview method and uses the “social impact investment framework” constructed by OEDC and Dunn’s definition of public policy stakeholders to select 22 respondents, who were divided into three groups.
Findings
Taiwan’s decision-making in social enterprise policy is mainly driven by the pressure of youth unemployment and the 318-student movement. Intrinsic motivation strategies popularized the concept of social enterprise. Various strategies are used to break the limitations and diversify the organization, trigger more diverse social investments, broaden the goals of investment and complete the social enterprise ecosystem through these. Taiwan’s social enterprise policies are consistent with the global trend of “replacing subsidies with investment.”
Originality/value
This study shows that social enterprises generate mutual benefits between investors and social enterprises, that is, achieve free matching through external mechanisms. This study fills the gaps in Oliver’s “behavioral cube” framework of policy instruments. A “behavioral four-dimensional matrix” composed of nudge, shove, budge and reciprocity is proposed to complete the framework for social enterprise policy analysis tools.
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Hsia-Ching Chang, Chen-Ya Wang and Suliman Hawamdeh
This paper aims to investigate emerging trends in data analytics and knowledge management (KM) job market by using the knowledge, skills and abilities (KSA) framework. The…
Abstract
Purpose
This paper aims to investigate emerging trends in data analytics and knowledge management (KM) job market by using the knowledge, skills and abilities (KSA) framework. The findings from the study provide insights into curriculum development and academic program design.
Design/methodology/approach
This study traced and retrieved job ads on LinkedIn to understand how data analytics and KM interplay in terms of job functions, knowledge, skills and abilities required for jobs, as well as career progression. Conducting content analysis using text analytics and multiple correspondence analysis, this paper extends the framework of KSA proposed by Cegielski and Jones‐Farmer to the field of data analytics and KM.
Findings
Using content analysis, the study analyzes the requisite KSA that connect analytics to KM from the job demand perspective. While Kruskal–Wallis tests assist in examining the relationships between different types of KSA and company’s characteristics, multiple correspondence analysis (MCA) aids in reducing dimensions and representing the KSA data points in two-dimensional space to identify potential associations between levels of categorical variables. The results from the Kruskal–Wallis tests indicate a significant relationship between job experience levels and KSA. The MCA diagrams illustrate key distinctions between hard and soft skills in data across different experience levels.
Practical implications
The practical implications of the study are two-fold. First, the extended KSA framework can guide KM professionals with their career planning toward data analytics. Second, the findings can inform academic institutions with regard to broadening and refining their data analytics or KM curricula.
Originality/value
This paper is one of the first studies to investigate the connection between data analytics and KM from the job demand perspective. It contributes to the ongoing discussion and provides insights into curriculum development and academic program design.
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Ching-Hsun Chang, Yu-Shan Chen and Chin-Wei Tseng
This study proposes the novel construct of digital transformation anxiety and investigates its effect, which is mediated by absorptive capacity and dynamic capability, on digital…
Abstract
Purpose
This study proposes the novel construct of digital transformation anxiety and investigates its effect, which is mediated by absorptive capacity and dynamic capability, on digital innovation performance.
Design/methodology/approach
This study conducted a questionnaire survey among Taiwanese manufacturing and service companies to verify the research framework. A total of 130 valid responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) and bootstrapping to test direct and mediation effects, respectively.
Findings
Digital transformation anxiety negatively affects absorptive capacity and dynamic capability, whereas absorptive capacity and dynamic capability positively affect digital innovation performance. Dynamic capability more strongly mediates the association between digital transformation anxiety and digital innovation performance than absorptive capacity. Additionally, digital transformation anxiety does not negatively affect digital innovation performance. Finally, manufacturing companies had significantly higher levels of digital transformation anxiety than service companies.
Research limitations/implications
This study proposes the novel construct of digital transformation anxiety to address a gap in the literature. Digital transformation anxiety leads companies to adopt unnecessarily conservative practices, preventing them from flexibly responding to technological advances. This insight highlights the negative effect of such anxiety on absorptive capacity and dynamic capability, extending the application of path dependency theory to companies. The findings underscore the value of enhancing dynamic capability and reallocating resources to foster digital innovation. The study identified and explored the concept of digital transformation anxiety and extended the perspective of dynamic capability to include digital transformation and digital innovation.
Practical implications
The current findings indicate that digital transformation anxiety does not substantially affect digital innovation performance in Taiwanese companies. Consequently, Taiwanese companies should focus on developing their absorptive capacity and dynamic capability to enhance digital innovation.
Originality/value
The study proposes the novel construct of digital transformation anxiety and explores its effect on business units. It presents a pioneering framework derived from path dependence theory and the perspective of dynamic capability.
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Chih-Yung Chen, Chia-Rong Su, Jih-Fu Tu, Chang-Ching Lin and Ching-Ter Chang
– The purpose of this paper is to use personal fuzzy demand, assisted by system computing to find a job, using job search systems to achieve this goal.
Abstract
Purpose
The purpose of this paper is to use personal fuzzy demand, assisted by system computing to find a job, using job search systems to achieve this goal.
Design/methodology/approach
The search system uses the fuzzy goal programming (FGP) method by setting personal preferences as property values and screening the data for comparison and calculation. By presenting information sorted by the inputted property values, the methodology suggests the best job options.
Findings
FGP algorithms make job-searching systems meet the needs of users better, which can really affect jobseekers’ approaches to pursuing work.
Research limitations/implications
As it has only considered the local cultural environment, this paper’s findings are limited by being confined to Taiwanese samples.
Practical implications
The experimental results of the proposed method have been compared with other websites to show their effectiveness.
Originality/value
This paper has assisted personal decision making using FGP applied to the internet which has seldom been studied previously.
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Keywords
Xiaojuan Li, Ching-Ter Chang, Yue-Yue Zhu and Lu-Lu Li
The development of urban underground complexes (UUCs) has great positive significance for improving urban safety. Therefore, it is necessary to identify the key factors of the…
Abstract
Purpose
The development of urban underground complexes (UUCs) has great positive significance for improving urban safety. Therefore, it is necessary to identify the key factors of the people's behavior of evacuation route selection (BERS) for fire emergencies and UUCs’ development. This study aims to find out the factors affecting people's BERS in the evacuation process of UUCs.
Design/methodology/approach
This study aims to find out the factors affecting people's BERS in the evacuation process of UUCs. To achieve this goal, the authors conducted a field experiment in F City. Furthermore, the people's BERS are obtained by using a structural equation model and compared with the field test results.
Findings
The authors found that the key factors for people's BERS are lighting conditions, route distance, flow direction guidance and indication. The results of this study contribute to the safety field by providing key factors for fire emergencies. It can also be used to improve fire safety management, evacuation strategies and assist in the development of intelligent evacuation systems.
Originality/value
The results of this study contribute to the safety field by providing key factors for fire emergencies. It can also be used to improve fire safety management, evacuation strategies and assist in the development of intelligent evacuation systems.
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Keywords
Chao-Ching Chang, Feng-Hsi Huang and Liao-Ping Cheng
The purpose of this paper is to investigate the effects of dipentaerythritol hexaacrylate (DPHA) and 3-(trimethoxysilyl)propyl methacrylate-modified silica nanoparticles (MSiO2…
Abstract
Purpose
The purpose of this paper is to investigate the effects of dipentaerythritol hexaacrylate (DPHA) and 3-(trimethoxysilyl)propyl methacrylate-modified silica nanoparticles (MSiO2) contents on the performances of the Disperse Red 1 (DR1)-grafted-silica/poly(acrylate) color hard coatings.
Design/methodology/approach
The organic dye DR1 was silylated by reaction with the coupling agent 3-isocyanatopropyltriethoxysilane in methyl ethyl ketone. The silylated-DR1 thus obtained was grafted on MSiO2 to form dye-grafted silica (GSiO2). This hybrid dye was then UV-cured with the cross-linking agent, DPHA, to yield color coatings. Thermal durability of the coatings was evaluated based on their CIE (international commission on illumination) chromaticity coordinates and UV/Vis transmittances.
Findings
The results indicated that GSiO2-coatings could tolerate thermal attack better than pristine DR1-coatings or dye-absorbed silica (DSiO2)-coatings because of the fact that DR1 was more finely dispersed in the polymer binder when covalently bonded to the silica particles. Under optimal conditions, coatings with very small change of saturation and hue after high-temperature treatments were obtainable. These coatings appeared transparent, had 3H-6H pencil hardness and adhered perfectly onto the poly(methyl methacrylate) substrates.
Practical implications
Dye-grafted color coatings may find applications such as color filter photoresists for displays, microelectronics, printed circuit boards, etc.
Originality/value
The performances of the coatings were evaluated in terms of mechanical strength, adherence to the substrate, transmittance and color stability against heat treatments, which have not been disclosed. Also, using a newly developed triangular composition diagram, suitable ranges for preparing useful color coatings were accessed. The present method deserves further research studies on green and blue dyes.
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Xunfa Lu, Jingjing Sun, Guo Wei and Ching-Ter Chang
The purpose of this paper is to investigate dynamics of causal interactions and financial risk contagion among BRICS stock markets under rare events.
Abstract
Purpose
The purpose of this paper is to investigate dynamics of causal interactions and financial risk contagion among BRICS stock markets under rare events.
Design/methodology/approach
Two methods are adopted: The new causal inference technique, namely, the Liang causality analysis based on information flow theory and the dynamic causal index (DCI) are used to measure the financial risk contagion.
Findings
The causal relationships among the BRICS stock markets estimated by the Liang causality analysis are significantly stronger in the mid-periods of rare events than in the pre- and post-periods. Moreover, different rare events have heterogeneous effects on the causal relationships. Notably, under rare events, there is almost no significant Liang's causality between the Chinese and other four stock markets, except for a few moments, indicating that the former can provide a relatively safe haven within the BRICS. According to the DCIs, the causal linkages have significantly increased during rare events, implying that their connectivity becomes stronger under extreme conditions.
Practical implications
The obtained results not only provide important implications for investors to reasonably allocate regional financial assets, but also yield some suggestions for policymakers and financial regulators in effective supervision, especially in extreme environments.
Originality/value
This paper uses the Liang causality analysis to construct the causal networks among BRICS stock indices and characterize their causal linkages. Furthermore, the DCI derived from the causal networks is applied to measure the financial risk contagion of the BRICS countries under three rare events.