Search results

Purpose – This chapter provides an overview of issues related to analysing crash data characterised by excess zero responses and/or long tails and how to overcome these problems. Factors affecting excess zeros and/or long tails are discussed, as well as how they can bias the results when traditional distributions or models are used. Recently introduced multi-parameter distributions and models developed specifically for such datasets are described. The chapter is intended to guide readers on how to properly analyse crash datasets with excess zeros and long or heavy tails.

Methodology – Key references from the literature are summarised and discussed, and two examples detailing how multi-parameter distributions and models compare with the negative binomial distribution and model are presented.

Findings – In the event that the characteristics of the crash dataset cannot be changed or modified, recently introduced multi-parameter distributions and models can be used efficiently to analyse datasets characterised by excess zero responses and/or long tails. They offer a simpler way to interpret the relationship between crashes and explanatory variables, while providing better statistical performance in terms of goodness-of-fit and predictive capabilities.

Research implications – Multi-parameter models are expected to become the next series of traditional distributions and models. The research on these models is still ongoing.

Practical implications – With the advancement of computing power and Bayesian simulation methods, multi-parameter models can now be easily coded and applied to analyse crash datasets characterised by excess zero responses and/or long tails.

The publish/subscribe paradigm is useful for content diffusion in the internet. The purpose of this paper is to propose subscription covering to reduce the size of routeing table and notification matching time.

The paper proposes a necessary and sufficient condition of correct routeing table configuration when using SSCBR algorithm.

Experiments show that both SSCBR and RSCBR can reduce the size of routeing table, network traffic and time.

All these experiments are based on high speed wireline network. For wireless network, the results may be different.

The paper proposes a necessary and sufficient condition of correct routeing table configuration when using SSCBR algorithm and can easily validate the correctness of brokers' routeing table through it. Because RSCBR calculates less subscription covering relation, its performance in network traffic and average notification processing time may be better than SSCBR in certain scenarios.

Country-of-origin (COO) effects on product evaluations have been widely applied in international marketing, albeit with mixed results. One stream of research values its importance in decision-making, whereas another stream posits that COO has little effect when compared to the greater diagnosticity of other product attributes. This suggests that how and along what other attributes (extrinsic or intrinsic) COO is presented play an important role in its relative impact. The purpose of this paper is to address these mixed results by applying one such framing perspective based on evaluation mode (i.e. separate versus joint evaluation) and preference reversals and their biasing effects to a study of COO and willingness to pay (WTP) for a product.

A three between-subject (joint evaluation, separate evaluation-domestic and separate evaluation-foreign) experimental design was used to assess whether evaluation mode moderates COO effects on product evaluations.

Similar results are mirrored across three/four countries. When evaluated separately, consumers value an inferior domestic-made product more than a superior foreign-made one. However, when the domestic- and foreign-made products are presented in joint evaluations, the better foreign-made product is favored.

A number of limitations in terms of countries, consumers within the countries and products studied are addressed along with future research that may address these factors and test the robustness of domestic–foreign preference reversals.

The results of this study reveal practical insights to marketers. Marketing managers for better-quality foreign brands are encouraged to engage in comparative advertising appeals and sell their products in retail stores that hold both domestic and foreign products, whereas marketers for domestic products should create a selling environment that facilitate only a separate evaluation mode to enhance WTP.

This paper provides insights on the diagnosticity of COO when presented alongside intrinsic attributes and the role of evaluation mode in shaping consumers’ preferences. This research suggests that COO has different effects in different evaluation modes, thus explaining some of the mixed results in literature regarding its importance. On the one hand, COO has a decisive effect on product evaluations when products are presented separately. On the other hand, COO effect is overridden by intrinsic cues, which become more apparent when products are presented jointly. Overall, these results demonstrate the robustness of the preference reversal effect across countries and products.

The purpose of this paper is to explore differences in the behavioural intentions of consumers in different countries, i.e. Japan, UK and Taiwan by employing a customer-based value model.

A total of 305 consumers of one of Japan's brand and chain stores, Muji, were interviewed. The moderating effects of cultural and economic distances from the home country of the firm were also tested.

The results showed that cultural distance moderates the impact of symbolic, experiential and aesthetic value on purchase intention; however, economic distance was found to only influence monetary value.

Cross-cultural studies on customer value in the retailing industry are limited. The findings from this study offer several implications for those firms that adopt a globalization strategy using another perspective, while to some degree glocalization could be a better strategy.

Effectively solving the large tonnage cable in the construction process due to the tensioning method of the inclined cable often appears in the overall cable force and the design value of the deviation is large, cable internal strand force is not uniform, the main girder stress exceeds the limit of the problem affecting the safety of the structure.

In this study, the finite element method and theoretical analysis method are utilized to propose a construction control method of tensioning the whole bunch of diagonal cables in two parts according to the deformation coordination relationship between the main girder and the diagonal cables. This methodology was implemented during the actual construction of the PAIRA Bridge in Bangladesh.

Tests conducted on cable-stayed bridges using this controlled tensioning method demonstrate that the measured cable strength of a single strand exhibits an error of less than 0.15% compared to the design target cable strength. The deviation between the measured and designed cable forces ranges from 0.16% to 0.27%. Furthermore, no tensile stress is observed in both the top plate and bottom plate of the root section of the main girder, indicating a state of full-section compression throughout the entire construction process.

Through the comparison with the test value, it can be proved that the whole bunch of diagonal cable tensioned in two parts of the construction control method proposed in this paper can make the internal strand force more uniform, to meet the precision requirements of the site construction, to protect the safety of the bridge construction process. The method proposed in this paper is highly accurate, easy to calculate, and has a high value of popularization and application.

This study aims to investigate the effect of brand personality and consumer ethnocentrism on perceived quality and purchase intentions in China's sportswear market.

In order to examine and compare the effect of brand personality and consumer ethnocentrism on the evaluation of product quality and purchase intention toward domestic and foreign brands, COB (the country with which the brand or firm is associated) and COM (the country in which final production takes place) cues were used in this study. Chinese college students represented the sample of 385 respondents. Structural equation modeling was used to investigate the causal relationships among brand personality, consumer ethnocentrism, perceived quality, and purchase intention.

Results revealed that brand personality has a significant effect on Chinese consumers' product quality perceptions and purchase intentions toward both domestic and foreign brands. Furthermore, it is found that Chinese consumers' ethnocentric tendencies have no significant impact on their intentions to buy either domestic or foreign sportswear brands. However, ethnocentric Chinese consumers do positively evaluate the quality of domestic brands when domestic brands are also made domestically and negatively evaluate the quality of foreign brands when foreign brands are also manufactured non-domestically.

The study contributes theoretically and empirically to research on the effects of brand image and consumer ethnocentrism in emerging markets. The findings from this study will help domestic and international marketers have a better understanding of the role of brand personality and consumer ethnocentric tendencies in influencing young Chinese consumers' product evaluation and purchase intentions. In addition, few studies have simultaneously examined the effects of brand image and consumer ethnocentrism (moderated by COO) on consumers' product evaluations and purchase intentions, which provided new research and managerial implications.

With the advent of the era of Big Data, the scale of knowledge graph (KG) in various domains is growing rapidly, which holds huge amount of knowledge surely benefiting the question answering (QA) research. However, the KG, which is always constituted of entities and relations, is structurally inconsistent with the natural language query. Thus, the QA system based on KG is still faced with difficulties. The purpose of this paper is to propose a method to answer the domain-specific questions based on KG, providing conveniences for the information query over domain KG.

The authors propose a method FactQA to answer the factual questions about specific domain. A series of logical rules are designed to transform the factual questions into the triples, in order to solve the structural inconsistency between the user’s question and the domain knowledge. Then, the query expansion strategies and filtering strategies are proposed from two levels (i.e. words and triples in the question). For matching the question with domain knowledge, not only the similarity values between the words in the question and the resources in the domain knowledge but also the tag information of these words is considered. And the tag information is obtained by parsing the question using Stanford CoreNLP. In this paper, the KG in metallic materials domain is used to illustrate the FactQA method.

The designed logical rules have time stability for transforming the factual questions into the triples. Additionally, after filtering the synonym expansion results of the words in the question, the expansion quality of the triple representation of the question is improved. The tag information of the words in the question is considered in the process of data matching, which could help to filter out the wrong matches.

Although the FactQA is proposed for domain-specific QA, it can also be applied to any other domain besides metallic materials domain. For a question that cannot be answered, FactQA would generate a new related question to answer, providing as much as possible the user with the information they probably need. The FactQA could facilitate the user’s information query based on the emerging KG.

This study aims to investigate the health-care-seeking behaviour and practices of West African migrants who reside and operate in Wa, Ghana, as itinerant retailers.

The study was cross-sectional and used the quantitative research approach. The analysis was done on a target population comprising 122 itinerant immigrant retail traders in Wa, Ghana. Fisher’s exact test and logistic regression were used to analyse the data.

Malaria was the commonest disease among them. Five in ten of the migrants preferred to report malaria episodes to a private health facility than to a government facility. Significant associations were identified between four dimensions (health facility, self-medication, home remedy and consult others) of health-seeking behaviour, and some background characteristics. The main reason why migrants prefer government health facilities was because of their better health personnel. They self-medicated because of easy accessibility of over-the-counter medicine shops. Also, when ill, the migrants usually consulted family members who would be in a position to take them home when their ailment worsens.

Snowball sampling was used to select the respondents which could potentially lead to a sample that is not fully representative of the population in general.

Studies concerning migration and health in Ghana have been focused on internal migrants. Yet, minority immigrant traders equally encounter adverse health conditions but limited studies have been conducted to espouse their health-seeking behaviour. This study imperatively contributes to the subject matter that has limited literature in the country.

Sustainable development is considered a key factor in addressing environmental issues, global inequalities and poverty. This study aims to investigate the impact of stock market indicators on sustainable development across 16 emerging markets from 2003 to 2020.

The research uses causality and cointegration analyses to explore the relationships between stock market indicators and sustainable development.

Univariate causality analysis reveals a bidirectional causal relationship between the stock market turnover ratio and sustainable development, as well as a unidirectional relationship from sustainable development to stock market capitalization and total value traded. Panel-level cointegration analysis suggests that only stock market capitalization has a weak positive influence on sustainable development. However, the impact of stock market indicators on sustainable development varies significantly among countries, as revealed by country-level cointegration analysis.

While this study provides valuable insights, it is not without limitations. The findings are limited to the selected emerging markets and the specified timeframe (2003–2020). The complexity of factors influencing sustainable development suggests the need for further exploration in diverse contexts.

Understanding the nuanced relationships between stock market indicators and sustainable development can offer valuable insights for policymakers, investors and stakeholders.

This research contributes to the existing literature by examining the multifaceted connections between stock market indicators and sustainable development, focusing on country-specific causality relationships. The study highlights the reciprocal nature of this relationship, where financial market development can both influence and be influenced by a country's progress toward sustainability. This approach provides a more nuanced understanding of the complex interaction between stock market maturity and sustainability goals.

Due to the deformation between the pylon and the girder caused by single tension of cables, the previously tensioned steel strands have stress relaxation, resulting in the actual cable forces being less than the design cable forces. To compensate the stress loss caused by the single tension of cables, this paper aims to present a practical compensation algorithm of stress relaxation during the construction period.

From the perspective of the essential cause of the stress relaxation, finite element analysis is used to solve the tension control force of each steel strand after a rigorous theoretical formula derivation.

The deformation and tension control force of each steel strand decrease with the advance of the tension sequence, and the decline rate drops gradually. However, the calculated force values of the steel strand are in good agreement with the measured value as the cable length decreases.

The previous rough calculation methods for the tension force of steel strands cannot meet the accuracy, and the accurate calculation methods often include the solution of nonlinear equations, which complicate the calculating process. Otherwise, there are few studies on the compensation of stress loss by calculating the deformation of the steel strand during the tension process. So, it developed an accurate and efficient algorithm to determine the tension control forces.