Search results

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.

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.

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.

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.

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.

Responses from a survey of 255 online gamers were used for the analysis.

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.

This study is the first to examine how gender swapping affects online gamer loyalty.

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.

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.

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.

Teaching Notes are available for educators only.

CSS: 3 Entrepreneurship.

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.

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.

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.

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.

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.

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.

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.

FGP algorithms make job-searching systems meet the needs of users better, which can really affect jobseekers’ approaches to pursuing work.

As it has only considered the local cultural environment, this paper’s findings are limited by being confined to Taiwanese samples.

The experimental results of the proposed method have been compared with other websites to show their effectiveness.

This paper has assisted personal decision making using FGP applied to the internet which has seldom been studied previously.

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.

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.

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.

Dye-grafted color coatings may find applications such as color filter photoresists for displays, microelectronics, printed circuit boards, etc.

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.

The purpose of this paper is to investigate alliance partner diversity (APD) as a driving force that potentially enhances firms’ innovation generation (IG) in interfirm open alliance contexts. The authors propose that APD enhances IG but that the effects depend on both alliance network position and the double-edged external knowledge search strategy. Building on the knowledge-based view and social capital theory, the authors formally model how external knowledge search strategies can lead to productive or destructive acquisitions of external knowledge in interfirm open alliance networks. The authors theorize that when an individual firm adopts a central position in a complex interfirm open alliance network, its propensity toward beneficial IG depends on its knowledge search strategy (i.e. its breadth and depth) due to the joint influence of network position and knowledge search strategy on innovation.

Using an original large-scale survey of high-tech firms, this study shows that the relationship between partner diversity and IG is contingent on a firm’s network position and knowledge search strategy. The authors also offer an original analysis of how knowledge search strategy (i.e. its breadth and depth) in network centrality (NC) affects the efficacy of knowledge acquisition in interfirm open alliance networks. Empirically, the authors provide an original contribution to the open innovation literature by integrating social capital and knowledge-based theory to rigorously measure firm IG.

Overall, our findings suggest that the knowledge search strategy imparts a double-edged effect that may promote or interfere with external knowledge in IG in the context of the diversity of alliance partners.

The work has important limitations, such as its analysis of a single industry in the empirical models. Therefore, further studies should consider multiple industries that may provide useful insights into innovation decisions.

External knowledge search is valuable, particularly in the high-tech industry, as external knowledge acquisition generates innovation output. This study serves to raise managers’ awareness of various approaches to external knowledge searches and highlights the importance of network position in knowledge acquisition from interfirm open alliance collaborations.

This paper is the first to investigate the double-edged effect of knowledge search on interfirm open alliance networks. It also contributes to the theoretical and practical literature on interfirm open alliance networks by reflecting on external knowledge search and underlying network centrality and APD factors.

The impact of computer technology on libraries is changing the face of information services and how these services are delivered. It is significant that human interaction with computers prevails all service‐oriented institutions, especially libraries where circulation, reference, and technical services are fully automated and depend on computers for information access and retrieval via patron files and online public access catalogs. Libraries spend lots of time on implementing and upgrading electronic services and library functions. However, the human factors are generally overlooked. This article will provide a systematic way to address employee safety and health issues in the library through background readings, library ergonomics in literature, current technologies on ergonomic product design and a case study of ergonomics program implementation at Queens College Library, the City University of New York.

This study attempts to reveal product platform strategy via business-to-business (B2B) platform ecosystems. The authors advance the views of platform ecosystems in the innovation literature by introducing a contingency perspective that underscores the role of market, organizational and technological innovativeness in product platform strategy.

This study explores three contingent factors, specifically market innovativeness, technological innovativeness and organizational innovativeness that affect the product platform strategy of high-tech firms. The theoretical model is empirically validated using survey data from 191 high-tech firms.

Using a data set of high-tech manufacturing firms, the results show that product platform strategy is positively related to firm performance. Additionally, the results provide evidence supporting the positive moderating effect of the three-way interaction among market, organizational and technological innovativeness on the contribution of product platform strategy to firm performance.

A platform product strategy is a determining factor in firm performance that requires firms to have a “fit” with their innovation activities. This study contributes to theoretical development at the intersection of product platform strategy and innovativeness.

When firms seek to align their technological innovativeness with their organizational innovativeness, the benefits of such innovativeness may be more pronounced in a platform product context. Moreover, the results may help guide platform managers and decision makers in identifying and securing appropriate innovation activities to enhance product platform strategies.

This study provides a product platform strategy in B2B platform ecosystems and shows how different innovation activities interact to improve the product platform strategy.

This study deals with attenuating the risk of relying on a single export market, which was heightened by the outbreak of the COVID-19 pandemic. It focuses on Taiwanese atemoya (a fruit with short storage life) and the adoption of active controlled atmosphere (CA) containers, a new technology which lengthens storage time for other export markets. This study looks at the financial feasibility of the technology's first ever use in atemoya exports.

Apart from the standard financial assessment tools—like net present value (NPV), internal rate of return (IRR), benefit-cost ratio (BCR) and payback period (PBP)—this study calibrated five different scenarios based on data gathered from relevant market agents including suppliers, exporters, customs brokers and technology developer.

Due to the high profit margin and low investment cost, the use of active CA containers for long-haul exports of this highly perishable fruit is found both technically and financially feasible, despite the generally higher operational cost during the pandemic.

This study looked at three specific export markets: Malaysia, Dubai and Canada. Results here may lack generalizability in other markets, although it is believed that slight deviations would not invalidate the conclusions of this research because short, medium and long distances were all covered therein.

This paper studies the first time that active CA is used for export of atemoyas to expand existing markets.