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.

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.

Customers’ innovativeness regarding services and products affects their purchase behavior. The purpose of this paper is to examine the moderation effect of fitness innovativeness (FI) (domain-specific innovativeness) and duration of stay on fitness customers’ revisit frequency.

This is a quantitative study. The purposive sampling survey method was used to obtain samples from the Taipei Nangang Fitness Center. Data were analyzed by moderated regression analysis.

The empirical results from 192 valid questionnaires that were obtained for data analysis revealed that FI has a positive impact on revisit frequency, and this impact is further increased if an individual is inclined to exercise and to stay longer at the fitness center.

A matrix of fitness innovator segments was developed to illustrate the research and managerial implications.

The purpose of this research is to develop a Social Information System research model that uses the core constructs intrinsic motivation, extrinsic motivation, and amotivation to explain social networking adoption among tweens, teens and young adults.

In developing the research model, we triangulated theories to examine the different orientations of motivation. The data collection process included a stratified sample size of 270 respondents. Following data collection we analyzed the results using structural equation modeling in the Partial Least Square software package.

The constructs amotivation, intrinsic and extrinsic motivations were all statistically significant in explaining continuance intention to use social networking services (SNS).

Researchers and practitioners have intimated that although there has been a rise in the number of persons accessing and becoming members of SNS, several subscribers who join subsequently leave after a minimal period. The practical implication of this study lies in providing a preliminary understanding of what determines or inhibits continuance intention of SNS membership.

Despite efforts, research in IS and technology acceptance literature regarding SNS diffusion is limited in scope. The theoretical implication of this study lies in the model that has been developed and validated to provide a more effective tool for the scholarly evaluation of SNS adoption. Existing adoption models are insufficient to explain voluntary technology usage of this nature.

To examine how vocabulary instruction can lead toward students connecting the known to the familiar with the unknown.

Theoretical advances in vocabulary acquisition and utility are discussed in relation to word reading and knowledge formation. Extending theory requires pedagogical planning and reinforcement to promote skill learning first toward preparing students to have the capacity to acquire vocabulary across the content areas and in turn, understand and apply that knowledge toward problem solving.

Students must be scaffolded toward connecting what they know with that which is familiar and eventually with the unknown; only then can we extend learning beyond our guidance and supervision. Students must be taught how and when to use vocabulary acquisition strategies so they are prepared to overcome difficulties associated with word meanings in independent reading.

It is timely for rich, varied, and complete vocabulary instruction to serve as the basis for learning across the curriculum. Words are the predecessors of tomorrow’s learning and we must consider how to best provide instruction for students who overuse sight words, text shorthand more than they write formally, and even substitute inappropriate language based upon a lack of vocabulary knowledge and ability to articulate their feelings.