Jiaxin Ye, Huixiang Xiong, Jinpeng Guo and Xuan Meng
The purpose of this study is to investigate how book group recommendations can be used as a meaningful way to suggest suitable books to users, given the increasing number of…
Abstract
Purpose
The purpose of this study is to investigate how book group recommendations can be used as a meaningful way to suggest suitable books to users, given the increasing number of individuals engaging in sharing and discussing books on the web.
Design/methodology/approach
The authors propose reviews fine-grained classification (CFGC) and its related models such as CFGC1 for book group recommendation. These models can categorize reviews successively by function and role. Constructing the BERT-BiLSTM model to classify the reviews by function. The frequency characteristics of the reviews are mined by word frequency analysis, and the relationship between reviews and total book score is mined by correlation analysis. Then, the reviews are classified into three roles: celebrity, general and passerby. Finally, the authors can form user groups, mine group features and combine group features with book fine-grained ratings to make book group recommendations.
Findings
Overall, the best recommendations are made by Synopsis comments, with the accuracy, recall, F-value and Hellinger distance of 52.9%, 60.0%, 56.3% and 0.163, respectively. The F1 index of the recommendations based on the author and the writing comments is improved by 2.5% and 0.4%, respectively, compared to the Synopsis comments.
Originality/value
Previous studies on book recommendation often recommend relevant books for users by mining the similarity between books, so the set of book recommendations recommended to users, especially to groups, always focuses on the few types. The proposed method can effectively ensure the diversity of recommendations by mining users’ tendency to different review attributes of books and recommending books for the groups. In addition, this study also investigates which types of reviews should be used to make book recommendations when targeting groups with specific tendencies.
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Lin Li, Jiushan Wang and Shilu Xiao
The aim of this work is to research and design an expert diagnosis system for rail vehicle driven by data mechanism models.
Abstract
Purpose
The aim of this work is to research and design an expert diagnosis system for rail vehicle driven by data mechanism models.
Design/methodology/approach
The expert diagnosis system utilizes statistical and deep learning methods to model the real-time status and historical data features of rail vehicle. Based on data mechanism models, it predicts the lifespan of key components, evaluates the health status of the vehicle and achieves intelligent monitoring and diagnosis of rail vehicle.
Findings
The actual operation effect of this system shows that it has improved the intelligent level of the rail vehicle monitoring system, which helps operators to monitor the operation of vehicle online, predict potential risks and faults of vehicle and ensure the smooth and safe operation of vehicle.
Originality/value
This system improves the efficiency of rail vehicle operation, scheduling and maintenance through intelligent monitoring and diagnosis of rail vehicle.
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Yie Enn Ng, Seok Tyug Tan, Seok Shin Tan, Hariyono Hariyono, Meng Che Tsai and Chin Xuan Tan
This study aims to investigate the association between genetics knowledge and perceptions toward nutrigenomics and to examine whether this relationship was mediated by attitudes…
Abstract
Purpose
This study aims to investigate the association between genetics knowledge and perceptions toward nutrigenomics and to examine whether this relationship was mediated by attitudes toward nutrigenomics.
Design/methodology/approach
An online cross-sectional study was conducted using a questionnaire comprised of four sections: sociodemographic information, genetics knowledge, attitudes toward nutrigenomics and perceptions toward nutrigenomics. A total of 423 health science students participated in this study.
Findings
Students enrolled in dietetics and biomedical science programs possessed significantly higher (p < 0.05) genetic knowledge compared to Chinese medicine students. Additionally, students in their second and third years of study exhibited significantly greater (p < 0.05) genetic knowledge than first-year students. Genetics knowledge was found to be positively associated (p < 0.05) with attitudes and perceptions toward nutrigenomics. Attitudes toward nutrigenomics partially mediated the relationship between genetics knowledge and perceptions toward nutrigenomics.
Practical implications
This study underscores the need for a well-rounded and progressively structured genetics curriculum across all health science programs. Enhancing genetics knowledge could potentially serve as a strategy to improve attitudes and perceptions toward nutrigenomics.
Originality/value
Nutrigenomics is an evolving field that forms a junction between diet, genomics and health. Health science students are the future health-care professionals, and their current attitudes and perceptions toward nutrigenomics are crucial for predicting its applications in the future. This study contributes novel insights by revealing that attitudes toward nutrigenomics serve as a partial mediator in the association between genetics knowledge and perceptions toward nutrigenomics.
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Chyi Yann Chong, Chin Xuan Tan, Meng-Che Tsai, Seok Shin Tan, Hariyono Hariyono and Seok Tyug Tan
Malaysia transitions from a pandemic to an endemic state, beginning on April 1, 2022. The dietary intake and physical activity of university students were altered during the…
Abstract
Purpose
Malaysia transitions from a pandemic to an endemic state, beginning on April 1, 2022. The dietary intake and physical activity of university students were altered during the COVID-19 pandemic confinement period, but there is limited information on this topic in the post-COVID-19 period. This cross-sectional study aims to understand gender differences in dietary intake and physical activity among university students and investigate the factors influencing their body mass index (BMI) in the post-COVID-19 period.
Design/methodology/approach
The questionnaire used in this study comprised three main segments: sociodemographic information, a semiquantitative food frequency questionnaire and the International Physical Activity Questionnaire.
Findings
Results indicated that males exhibited significantly higher (p < 0.05) mean intakes of total dietary energy and macronutrients compared to females. Compared to the Malaysian Recommended Nutrient Intakes 2017, 76.4% of males and 68.8% of females had a sufficient daily energy intake. The majority of males (52.7%) and females (46.4%) were moderately physically active. Regression analysis revealed that male university students with lower fiber intake (ß = −0.309, p = 0.002) were significantly associated with higher BMI reading after confounding adjustment. However, a similar trend was not observed in female university students.
Practical implications
Understanding the gender differences in dietary intake and physical activity can provide insights into the development of effective gender-specific health promotion strategies and the formulation of policies aimed at promoting healthier lifestyles among university students in the post-COVID-19 pandemic era.
Originality/value
This study provides insights into the gender differences in the dietary and physical activity habits of university students, as well as the factors influencing their BMI in the post-COVID-19 pandemic era.
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Tinggui Wang, Guoxing Cai, Letao Zhang, Li Ma, Erlei Yu and Wumanjiang Eli
– The Friedel-Crafts alkylation of biphenyl with 1-octene was completed using methanesulfonic acid (MSA) as catalyst.
Abstract
Purpose
The Friedel-Crafts alkylation of biphenyl with 1-octene was completed using methanesulfonic acid (MSA) as catalyst.
Design/methodology/approach
Single factor experiments were carried out to investigate the influence of the molar ratio of biphenyl to 1-octene, the amount of MSA, reaction temperature and reaction time on the olefins conversion and the yield of product to obtain the optimal reaction conditions. Under the optimum conditions, a lubricating base stock was synthesized, and its physical, chemical and electrical properties were determined.
Findings
The experimental results showed that after a 5 h reaction time at 353 K, the olefins conversion of 94.9 per cent and the yield of product of 69.3 per cent were obtained with a molar ratio of biphenyl to 1-octene of 1.2 and a molar ratio of MSA to 1-octene of 1. Under the optimum conditions, a lubricating base stock was synthesized, and its physical, chemical and electrical properties were determined. The results suggested that the synthetic base stock could be used as refrigeration oil.
Originality/value
In this manuscript, biphenyl was alkylated with 1-octene using MSA as the catalyst and 2.6-di-t-butylphenol as polymerization inhibitor. Compared with traditional catalysts, it has so many advantages as low tendency to oxidize organic compounds, low toxicity and less corrosion. In addition, it can be readily separated from the reaction mixture and can be reused. Moreover, MSA is an environmentally friendly material.
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Yuangao Chen, Meng Liu, Mingjing Chen, Lu Wang, Le Sun and Gang Xuan
The purpose of this research paper is to explore the determinants of patients' service choices between telephone consultation and text consultation in online health communities…
Abstract
Purpose
The purpose of this research paper is to explore the determinants of patients' service choices between telephone consultation and text consultation in online health communities (OHCs).
Design/methodology/approach
This study utilized an empirical model based on the elaboration likelihood model and examined the effect of information, regarding service quality (the central route) and service price (the peripheral route), using online health consultation data from one of the largest OHCs in China.
Findings
The logistic regression results indicated that both physician- and patient-generated information can influence the patients' service choices; service price signals will lead patients to cheaper options. However, individual motivations, disease risk and consulting experience change a patients' information processing regarding central and peripheral cues.
Originality/value
Previous researchers have investigated the mechanism of patient behavior in OHCs; however, the researchers have not focused on the patients' choices regarding the multiple health services provided in OHCs. The findings of this study have theoretical and practical implications for future researchers, OHC designers and physicians.
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Mohammad Tariqul Islam Khan and Yong Yee Xuan
Despite the emergence of peer-to-peer (P2P) lending in Malaysia, there is a knowledge gap on what drives the lending decision of P2P lending in the emerging Malaysian market. This…
Abstract
Purpose
Despite the emergence of peer-to-peer (P2P) lending in Malaysia, there is a knowledge gap on what drives the lending decision of P2P lending in the emerging Malaysian market. This research investigates how borrower's loan tenure, funding purpose, verified documents, accumulated transaction and repayment history, age, trustworthy and geographical resemblance affect likelihood of lending decision in P2P platform.
Design/methodology/approach
Using snowball sampling, survey data was collected from 300 online banking users who were willing to invest in online P2P platform from different states in Malaysia (i.e. Selangor, Malacca, Johor and Negeri Sembilan). For estimation, regression analyses were estimated.
Findings
The findings suggest that borrower's loan tenure and borrower's age increase the probability of lending in online P2P platform, while funding purpose of credit card reduces the likelihood of lending in the P2P platform. The findings contribute to the signalling theory.
Practical implications
The findings imply that borrowers need to concentrate on loan tenure and clearly indicate their age in the listing in order to increase the funding probability. Moreover, they are suggested not to submit listing for credit card as funding purpose.
Originality/value
This study is first in its nature about P2P lending in Malaysia and the possible factors that influence lending decisions in this new financing platform.
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Mobile location-based service (m-LBS) seems like a new class of personalized service due to location positioning technologies. This work aims to investigate consumer readiness…
Abstract
Purpose
Mobile location-based service (m-LBS) seems like a new class of personalized service due to location positioning technologies. This work aims to investigate consumer readiness (RED) toward m-LBS based on integrating pull effect- and push effect-related factors into the technology acceptance model (TAM).
Design/methodology/approach
An online survey collected data from 423 participants, and the research framework was analyzed using structural equation modeling (SEM).
Findings
The results divulge that consumer RED is determined by TAM antecedents, including usefulness (USE) and ease of use (EOU). EOU motivates USE in m-LBS. Regarding pull effect-related factors, absorptive capacity (ABC) is the strongest positive factor influencing consumer RED to use m-LBS, followed by technology willingness (TWI) and innovativeness (INN). Moreover, INN, trust (TRU) and perceived risk (RIS) significantly influence USE and EOU.
Originality/value
This work endeavors to explicate customer RED toward m-LBS by incorporating some meaningful pull effect-related dimensions (i.e. ABC, TWI and INN) and pushing effect-related dimensions (i.e. RIS) into crucial antecedents rooted in TAM. Thus, the findings assist practitioners in developing marketing strategies by boosting pull effects and controlling push effects on customer engagement in m-LBS.
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Barbara Wildemuth, Luanne Freund and Elaine G. Toms
One core element of interactive information retrieval (IIR) experiments is the assignment of search tasks. The purpose of this paper is to provide an analytical review of current…
Abstract
Purpose
One core element of interactive information retrieval (IIR) experiments is the assignment of search tasks. The purpose of this paper is to provide an analytical review of current practice in developing those search tasks to test, observe or control task complexity and difficulty.
Design/methodology/approach
Over 100 prior studies of IIR were examined in terms of how each defined task complexity and/or difficulty (or related concepts) and subsequently interpreted those concepts in the development of the assigned search tasks.
Findings
Search task complexity is found to include three dimensions: multiplicity of subtasks or steps, multiplicity of facets, and indeterminability. Search task difficulty is based on an interaction between the search task and the attributes of the searcher or the attributes of the search situation. The paper highlights the anomalies in our use of these two concepts, concluding with suggestions for future methodological research related to search task complexity and difficulty.
Originality/value
By analyzing and synthesizing current practices, this paper provides guidance for future experiments in IIR that involve these two constructs.
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Guodong Ni, Yaqi Fang, Xinyue Miao, Yaning Qiao, Wenshun Wang and Jian Xuan
This study aims to provide a new perspective and path to reduce the unsafe behavior of new generation of construction workers (NGCWs) in China. The purpose of this study is to…
Abstract
Purpose
This study aims to provide a new perspective and path to reduce the unsafe behavior of new generation of construction workers (NGCWs) in China. The purpose of this study is to explore the influencing mechanism of work-family balance on the unsafe behavior of NGCWs and test the mediating effect of job satisfaction and the moderating effect of group safety climate.
Design/methodology/approach
A theoretical model on the influencing mechanism of work-family balance on unsafe behavior of NGCWs was constructed through theoretical analysis. Research data were collected from 502 NGCWs via a questionnaire survey, and research hypotheses were testified with regression analysis.
Findings
The results show that work-family balance not only directly reduces NGCWs’ unsafe behavior but also indirectly reduces it through job satisfaction, which plays a partial mediating role. In addition to positively moderating the relationship between work-family balance and NGCWs’ unsafe behavior, group safety climate can also moderate the relationship between work-family balance and job satisfaction in a positive way.
Practical implications
This study provides practical implications for construction companies to reduce the unsafe behaviors of NGCWs from the perspective of work-family balance. Specifically, construction companies should adopt more flexible work rules, such as flexible organization and rotation systems, to increase their work autonomy. Meanwhile, construction companies need to improve the work environment and basic conditions for NGCWs, establish a reasonable salary system and provide attractive promotion opportunities to increase their job satisfaction. In addition, construction companies should provide active safety lectures and training, and supervisors should improve safety communication and interaction levels. Co-workers should remind workers about their safety attitudes and behaviors promptly. A good group safety climate will be created through the efforts of construction companies, supervisors and co-workers.
Originality/value
This study clarifies the influencing mechanism of work-family balance on the NGCWs’ unsafe behavior and further tests the partial mediating role of job satisfaction and the positively moderating effect of group safety climate on the influence relationship of work-family balance on job satisfaction and NGCWs’ unsafe behavior, which defines the boundary conditions of the relationship between work-family balance and NGCWs’ unsafe behavior, and promotes the effective integration of social exchange theory and theoretical system of influencing mechanism of construction workers’ unsafe behavior.