Search results

The purpose of this paper is to develop a novel intuitionistic fuzzy seasonality regression (IFSR) with particle swarm optimization (PSO) algorithms to accurately forecast air pollutions, which are typical seasonal time series data. Seasonal time series prediction is a critical topic, and some time series data contain uncertain or unpredictable factors. To handle such seasonal factors and uncertain forecasting seasonal time series data, the proposed IFSR with the PSO method effectively extends the intuitionistic fuzzy linear regression (IFLR).

The prediction model sets up IFLR with spreads unrestricted so as to correctly approach the trend of seasonal time series data when the decomposition method is used. PSO algorithms were simultaneously employed to select the parameters of the IFSR model. In this study, IFSR with the PSO method was first compared with fuzzy seasonality regression, providing evidence that the concept of the intuitionistic fuzzy set can improve performance in forecasting the daily concentration of carbon monoxide (CO). Furthermore, the risk management system also implemented is based on the forecasting results for decision-maker.

Seasonal autoregressive integrated moving average and deep belief network were then employed as comparative models for forecasting the daily concentration of CO. The empirical results of the proposed IFSR with PSO model revealed improved performance regarding forecasting accuracy, compared with the other methods.

This study presents IFSR with PSO to accurately forecast air pollutions. The proposed IFSR with PSO model can efficiently provide credible values of prediction for seasonal time series data in uncertain environments.

Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to learn. This chapter provides review of mobile learning with a particular focus on learning design. First various definitions and characteristics of mobile learning are examined in order to establish a common understanding of its boundaries and meaning. Example uses of mobile learning in schools and higher education are described as a way to provide a more concrete understanding of design possibilities. Benefits of mobile learning are unpacked, as distilled from the literature, including the ability to provide flexible, accessible, authentic, personalized, ubiquitous and seamless learning. Mobile learning issues are also examined, including technical problems, cognitive load issues, distraction, equity and safety. A primary school science and a university pre-service teacher education vignette are described so as to offer a more in-depth illustration of what mobile learning can look like and achieve in practice. Finally, mobile learning research findings and observations are synthesized into recommendations, to inform and guide evidence-based mobile learning design practices. Opportunities for future research and investigation are also discussed.

The production and sale of counterfeit products is big business in the international economy. Nowhere is this more evident than in China. This paper aims to review the anti-counterfeiting strategies that have been identified in the literature on counterfeiting.

The paper takes the form of a literature review.

This paper reviews 11 anti-counterfeiting strategies that have been suggested by relevant literature and has identified some of the success conditions. It also finds that firms should seek to take a longer-term view and to protect their technology-based competitive advantage. This is already happening: Japanese blue chip companies have begun to relocate sensitive R&D and high-tech manufacturing away from risky locations and back to Japan.

The paper shows that the dominant legal enforcement (perspective) approach has been of limited success and explains the reasons for its failure.

The paper concludes that anti-counterfeiting strategies should be seen as complementary rather than as mutually exclusive and that in the long run, as countries get more technologically advanced, governments will develop a strong self-interest in tackling the counterfeit problem themselves.

The paper provides a systematic discussion of alternative anti-counterfeiting strategies that have been suggested by the literature and explores their success conditions in some detail.

This paper proposes a distributed multi‐channel MAC protocol which is an extension of our early work GRID [1]. GRID is characterized by the following features: (i) it integrates a location‐aware channel assignment, (ii) it follows an “on‐demand” style to access the medium, (iii) the number of channels required is independent of the network topology, and (iv) no form of clock synchronization is required. The proposed protocol wants to further improve the GRID in two parts. First, we propose a fully distributed medium access mechanism without using a single control channel such that all of the network traffic can be distributed evenly over all data channels. Therefore, the network throughput will be increased significantly. Second, we can set the more suitable transmission range and GRID size by considering the factors of host density and packet arrival rate of the network within an specified area. Thus, all of channels will be reused more efficiently than GRID. Simulation results show that the throughput of our protocol is superior to GRID and IEEE 802.11.

There are only a few dozen Canadian companies which market industrial technology in developing countries of Pacific Asia. A survey of there perceptions and strategies indicates that while they believe there is no shortage of opportunities and no insurmountable market barriers in the region, it is important to have a well conceived marketing plan and be realistic in the expectations. On the whole, they are satisfied with their experience. Hopefully, this will induce more Canadian industrial companies to explore the Pacific Asia market and in turn help to realize Canada's potential in the region.

This study investigates the integration of information technology (IT) competencies with organizational inclusion initiatives and its impact on firm performance. It examines the role of organizational inclusion in promoting knowledge management capability (KMC) and the moderating effect of approach and avoidance motivation on the relationship between KMC and operational performance.

The study is grounded in the resource orchestration theory (ROT), which conceptualizes the integration of IT competencies and organizational inclusion. It employs hierarchical regression analysis on data collected from 204 firms and 374 managerial respondents to test the proposed hypotheses.

The results indicate that IT competencies enhance the relationship between organizational inclusion and KMC. Additionally, the relationship between KMC and operational performance is weaker when employees exhibit higher levels of avoidance motivation.

This study offers theoretical and managerial insights for integrating IT competencies into organizational inclusion initiatives, providing guidance for organizations seeking to enhance their performance, with a specific focus on the relevance of China as the research context.

This study enriches the scholarly discourse by examining the underexplored integration of IT competencies with organizational inclusion, notably in the context of China. It illuminates the moderating role of motivation in the KMC-operational performance relationship, benefiting both academia and practitioners. Furthermore, this work extends the literature by demonstrating how combining organizational inclusion and IT competencies can enhance workplace KMC, connecting it to internal knowledge resources. Theoretical implications extend beyond organizational inclusion and IT to show the broader application potential of ROT in management and information systems.

Entrepreneurship of universities has a critical role due to its important effects. However, there is a significant gap in the literature regarding the methodology for evaluating university entrepreneurship. Evaluating university entrepreneurship provides valuable information to policymakers and governments. This research presents an evaluation methodology for assessing university entrepreneurship using a hybrid multi-criteria decision-making (MCDM) approach.

For this purpose, entrepreneurship data of 50 universities from Türkiye were used. The evaluation framework consists of 4 main criteria and 23 sub-criteria. The importance level was determined by weighting the main criterion and sub-criteria with the subjective Best-Worst Method (BWM) based on expert opinions and the objective CRiteria Importance Through Intercriteria Correlation (CRITIC) method. The importance levels were determined by weighting the main and sub-criteria using the subjective BWM based on expert opinions and the objective CRITIC method. The final rankings were obtained by integrating the different ranking values obtained with the Borda function.

Findings revealed that the most important main criterion in the entrepreneurship of universities is economic and social contribution activities, and the most important sub-criterion is international patents. The proposed method ranked all universities according to entrepreneurship. Sensitivity and validation analyses proved that the method is robust, stable and consistent.

This study also provides a new perspective to policymakers and decision-makers in evaluating university entrepreneurship.

This study, which uses a hybrid approach of MCDM methods to evaluate the entrepreneurship of universities, can be adapted to different national and regional higher education systems, and this study provides guidance to researchers in this regard.

This article presents the results of a survey of 250 Canadian male consumers. In this study consumer judgements of products made in both highly and newly industrializing countries were obtained in a multi‐attribute and multidimensional context. The results show that younger and less affluent respondents react more favorably towards products made in newly industrializing East Asian countries. The country‐of‐origin image of East Asian countries is less negative for products that generate a medium level of involvement (e.g., a VCR). This negative image of East Asian countries is attenuated by providing other product‐related information to consumers such as brand name and warranty. East Asian countries are perceived more negatively as countries of design than as countries of parts and assembly. In comparison with products made in highly developed countries, products made in East Asia are perceived to be poorer in terms of performance, quality and originality but more economical.