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Discusses the 6th ITCRR, its breadth of textile and clothing research activity, plus the encouragement given to workers in this field and its related areas. States that, within the newer research areas under the microscope of the community involved, technical textiles focuses on new, ‘smart’ garments and the initiatives in this field in both the UK and the international community at large. Covers this subject at length.

Dynamic lot sizing is the problem of determining the quantity and timing of ordering items while satisfying the demand over a finite planning horizon. This paper considers the problem with two practical considerations: minimum order size and lost sales. The minimum order size is the minimum amount of items that should be purchased and lost sales involve situations in which sales are lost because items are not on hand or when it becomes more economical to lose the sale rather than making the sale. The objective is to minimize the costs of ordering, item , inventory holding and lost sale over the planning horizon. To solve the problem, we suggest a heuristic algorithm by considering trade-offs between cost factors. Computational experiments on randomly generated test instances show that the algorithm quickly obtains near-optimal solutions.

Looks at the eighth published year of the ITCRR and the research, from far and near, involved in this. Muses on the fact that, though all the usual processes are to the fore, the downside part of the industry is garment making which is the least developed side. Posits that the manufacture of clothing needs to become more technologically advanced as does retailing. Closes by emphasising support for the community in all its efforts.

The purpose of this paper is to identify the effects of students’ satisfaction with services on quality of academic life (QAL), formed by cognitive and affective components; and to assess the mediating effect of QOL components (cognitive and affective) on students’ loyalty and recommendation.

Based on 726 respondent students from public higher education institutions (HEIs) in Portugal, this paper uses a partial least squares approach to analyze the impact of satisfaction on emotions and students’ QAL and to assess whether emotions influence recommendation and loyalty.

The results reveal that satisfaction influences both cognitive and affective components of QAL. The cognitive component has a positive and significant influence on recommendation and loyalty whilst the affective component has no significant effect.

The results obtained here provide implications for future action to be taken by HEI managers, in order to increase efficiency in the allocation and management of scarce resources. Therefore, when incorporating these results in decision-making processes, attention should be paid to the importance of the influence of satisfaction on QAL’s cognitive and affective components, stressing the importance of the cognitive components associated with learning experiences that play an important role in students’ future decisions in terms of loyalty and recommendation, which, in turn, are pillars of HEI sustainability.

The present study contributes to the literature on HEI management by assessing the influence of satisfaction on two components of QAL separately: cognitive components and affective components. In addition, the causality relationships are analyzed, assessing the emotional nexus, in order to deepen knowledge about the role played by both affective and cognitive components in students’ loyalty and recommendation, which need to be addressed and studied by carrying out new research.

The Korean securities and derivatives markets, which offer such internationally renowned products as KOSPI 200 futures and options, along with proliferation of such derivative securities as ELS have offered an opportunity for investors to manage risk and select investment products for all different future prospects. However, if the market was to face with a shock in the magnitude of, for instance, the Black Monday of October 1987, possibly the market may trap into total confusion as the increased demand for portfolio insurance could enlarge the volatility of both cash and derivatives markets‘

In this paper we estimate the amount of settlement fund required in the Korean securities and derivatives markets via stress testing if the market falls into an extreme case of vulnerability. The required settlement fund was estimated using two step procedures. Firstly, we estimate market risk applying three different approaches, namely, 99% VaR. EVT and the historical time periods when the market exhibited extreme volatility. We found that from six member companies to as many as 16 companies could face settlement failures, which are represented by having the operating-income-to-capital ratio of less than 100%.

Secondly‘ after estimating each company's settlement amount and summing them to forecast the aggregate amount of settlement fund, it was found that at maximum 350 billion won was required for settlement fund. However, as OTC products become more popular in the near future, the required settlement fund will be larger. Especially if the CCP takes over the OTC market in terms of settlement and clearing, it is expected that the emergency settlement requirement will even become larger.

Applied a hybrid approach using genetic algorithms (GAs) for a case-based retrieval process in order to increase the overall improved cost accuracy for a case-based library. The paper aims to discuss this issue.

A weight optimization approach using case-based reasoning (CBR) with proposed GAs for developing the CBR model. GAs are used to investigate optimized weight generation with an application to real project cases.

The proposed CBR model can reduce errors consistently, and be potentially useful in the early financial planning stage. The authors suggest the developed CBR model can provide decision-makers with accurate cost information for assessing and comparing multiple alternatives in order to obtain the optimal solution while controlling cost.

The system can operate with more accuracy or less cost, and CBR can be used to better understand the effects of factor interaction and variation during the developed system’s process.

In this paper, the problem of a nonlinear model – specifically the hidden unit conditional random fields (HUCRFs) model, which has binary stochastic hidden units between the data and the labels – exhibiting unstable performance depending on the hyperparameter under consideration.

There are three main optimization search methods for hyperparameter tuning: manual search, grid search and random search. This study shows that HUCRFs’ unstable performance depends on the hyperparameter values used and its performance is based on tuning that draws on grid and random searches. All experiments conducted used the n-gram features – specifically, unigram, bigram, and trigram.

Naturally, selecting a list of hyperparameter values based on a researchers’ experience to find a set in which the best performance is exhibited is better than finding it from a probability distribution. Realistically, however, it is impossible to calculate using the parameters in all combinations. The present research indicates that the random search method has a better performance compared with the grid search method while requiring shorter computation time and a reduced cost.

In this paper, the issues affecting the performance of HUCRF, a nonlinear model with performance that varies depending on the hyperparameters, but performs better than CRF, has been examined.

In order to understand the influence of technology innovation on market demand diffusion in the ICT service market, the purpose of this paper is to examine technology innovation in the mobile product market, which keeps a complementary relationship with the mobile communication market.

This study collected mobile communication user information of four leading countries in the ICT market – the USA, the UK, Korea, and Japan from 1981 to 2014. This study applies the Bass diffusion model to analyze the form of market demand diffusion and conducts white noise test to verify the hypotheses.

Technology innovation of mobile communication leads to an increase in innovation effect and a decrease in imitation effect. Thus, technology innovation of mobile communication needs to be promoted continuously for the purpose of increasing adopters in the early stage. Besides, mobile product’s technology innovation leads to an increase in imitation effect and a decrease in innovation effect, because individuals were aware of the usefulness of the products and services. Hence, the increase in the number of imitators caused a higher increase in imitation effect than in the mobile communication’s innovation effect.

Based on the results of this study, the role that product and service technology innovation plays in renewing the form of market demand diffusion in the ICT service market was defined. Also, since the strategies and plans to acquire competitive advantage of business were understood, it may help both companies and policy decision makers.

This study takes its basis in job demands-resources (JD-R) and psychological resource theories to investigate the role of two personal factors – psychological capital (PsyCap) and study crafting – in the quality of university life of business students.

A sample of 806 undergraduate business students in Vietnam was surveyed to collect data. Confirmatory factor analysis (CFA) was used to validate the measures and structural equation modeling (SEM) was employed to test the model and hypotheses.

The results produced by SEM demonstrated that students' PsyCap had a positive effect on quality of university life. In addition, study crafting positively moderated the relationship between students' PsyCap and quality of university life.

The study findings suggest that universities could complement higher performance standards of universities with efforts to enhance quality of university life by developing and nurturing students' PsyCap and study crafting, enabling students to rise to the challenge posed by higher standards.

The study findings contribute to the literature on business education by confirming the overarching role that PsyCap plays in the quality of university life of students. Further, the study introduces the concept of study crafting and demonstrates that study crafting alone and in combination with PsyCap may help business students enjoy a higher quality of university life.

This study aims to examine the impact of the gameful experience on behavioural outcomes. Drawing from stimulus–organism–response theory, it proposes and tests a new model that investigates the relationship between the gameful experience, brand loyalty and intention to use gamified branded applications in the sports context. In addition, it explores the mediating role of customer–brand engagement (CBE) and the moderating role of self-image congruity (SIC).

A sample of 436 active users of sport-related branded gamified applications was used to test the model. Data was collected from online sports forums, brands’ Facebook communities and during sporting events.

Results indicate that the gameful experience positively and directly impacts behavioural intentions but does not directly influence brand loyalty. This relationship becomes partially significant when mediated by CBE. In addition, results show that users with high levels of SIC are more likely to continue using the gamified application, whereas users with low levels are more likely to engage with the brand.

This study expands the gamification literature in the sports sector by revealing the importance of the gameful experience in driving loyalty, behavioural intentions and CBE. It proposes a new model that sheds light on the emotional aspect of the interaction between a user and a gamified system and the importance of exploring the effects of moderators, such as SIC, in these relationships.