Search results

This paper, with the tobacco industry as the background, establishes an indicator system for tobacco supply chain performance evaluation using the FAHP method.

Based on the relevant data of tobacco enterprises in Guangxi, the paper calculates the performance values of tobacco companies in various cities of Guangxi, and through the analysis of each indicator and the performance values of each city, the authors find that the improvement ability has a major impact on tobacco supply chain performance. Then, the paper establishes a system dynamics model to further demonstrate the impact of information digitalization on the performance of the tobacco supply chain in Guangxi, thus providing theoretical support for building digital tobacco logistics in Guangxi.

The findings of the study show that the performance of the tobacco supply chains in various cities of Guangxi is generally at the level of “Pass–Good,” which can barely meet the requirements of tobacco supply chain operation, but there is still plenty of room for improvement.

The authors show that digital and IT-based empowerment can maximize the performance of Guangxi's tobacco logistics performance.

Wafer transfer robots play a significant role in IC manufacturing industry and the end effector is an important component of the robots. The purpose of this paper is to improve transfer efficiency of a wafer transfer robot through study of its end effector, and at the same time to reduce wafer deformation.

Finite element method is adopted to analyze wafer deformation. For wafer transfer robot working in vacuum, for the first time, the authors apply the research of microfiber arrays inspired by gecko to the design of robot's end effector, and present equations between robot's transit acceleration and parameters of microfiber arrays. Based on these studies, a kind of micro‐array bump is designed and fixed to a structure optimized end effector. For wafer transfer robot working in atmospheric environment, the authors have analyzed the effects of different factors on wafer deformation. The pressure distributions in absorption area and calculation formula of maximal transfer acceleration are put forward. Finally, a new kind of end effector for atmospheric robot is designed according to these studies.

The experiments results show that transfer efficiency of wafer transfer robot has been significantly improved through application of the research in this paper. Also wafer deformation under absorption force has been controlled.

Through experiments it can be seen that the research in this paper can be used to improve robot transfer ability and decrease wafer deformation in the production environment. Also the studies of end effector lay a solid foundation for further improvement.

This is the first application of the research of gecko‐inspired microfiber arrays to vacuum wafer transfer robot. This paper also carefully analyzes effects of different factors on wafer deformation through finite element method.

Getting high-quality data by removing the noisy data from the user-generated content (UGC) is the first step toward data mining and effective decision-making based on ubiquitous and unstructured social media data. This paper aims to design a framework for revoking noisy data from UGC.

In this paper, the authors consider a classification-based framework to remove the noise from the unstructured UGC in social media community. They treat the noise as the concerned topic non-relevant messages and apply a text classification-based approach to remove the noise. They introduce a domain lexicon to help identify the concerned topic from noise and compare the performance of several classification algorithms combined with different feature selection methods.

Experimental results based on a Chinese stock forum show that 84.9 per cent of all the noise data from the UGC could be removed with little valuable information loss. The support vector machines classifier combined with information gain feature extraction model is the best choice for this system. With longer messages getting better classification performance, it has been found that the length of messages affects the system performance.

The proposed method could be used for preprocessing in text mining and new knowledge discovery from the big data.

The purposes of this paper are to review the impact on food and nutrition security of several pandemic emergencies and the 2018 food price crisis from a global perspective, examine the Chinese experiences and lessons in ensuring food and nutrition security for its citizen and propose policy actions to prevent a global food and nutrition security crisis.

The authors utilize a noncomprehensive review of peer-reviewed and nonpeer-reviewed literature, as well as a case study approach.

Under the ongoing COVID-19, China's food and nutrition are relatively secure in short run largely due to governmental proactive policies but may face uncertainties in livestock production and imports of soybean in the medium and long terms. Given that the disease has spread to almost all countries in the world, global cooperation and coordination are needed to prevent systemic risks to global food and nutrition security.

The review and analysis of this paper will help policymakers in China and other countries to design strategies and actions to prevent food and nutrition security crisis under the ongoing COVID-19 emergency and other similar threats in the future.

This paper provides recommendations to prevent food and nutrition security crisis based on data, evidence and case studies.

The purpose of this paper is to investigate the changes in Chinese workers’ values by comparing the work-related values of the One-Child Generation (OCG), the Social Reform Generation and the Cultural Revolution Generation.

A survey was conducted with 918 Chinese employees, the vast majority of them working for Chinese domestic firms in Guangzhou, Shaoguan and Harbin. The collected data were analysed mainly using ANOVA, Tukey’s pairwise comparison and Kruskall–Wallis tests.

The OCG was found to place less importance on income and job security, while possessing higher tolerance towards the practice of nepotism, than the older two generations. The authors found no significant differences in the levels of intrinsic values and altruism among the three generations. Additionally, the results indicate overall low altruistic values and high extrinsic values across all three generations of Chinese workers.

China’s unprecedented generation of only-children as workers is an unknown factor. It is only now, over a decade after the OCG first entered the job market, that a comparative study between their work values and those of previous generations has become possible. This study exploits the momentum and is one of the first studies to include the OCG in the investigation of work value changes in Chinese society.

Recent years have documented the growing interest in using WhatsApp in higher education. However, the determinants of students’ satisfaction and loyalty towards WhatsApp groups have received less attention. This study aims to extend the Delone and McLean information system success model by incorporating social and emotional factors to investigate the drivers of satisfaction.

Data were collected through questionnaires completed by 308 undergraduate students. The partial least squares technique was used for data analysis.

The findings reveal that information quality, trust in members and social usefulness play crucial roles in shaping students’ satisfaction and loyalty to WhatsApp groups. System quality has no significant effect on satisfaction. Furthermore, emotional connection negatively moderates the relationship between social usefulness and satisfaction.

The findings of this study will be useful for educators and practitioners seeking to integrate WhatsApp into their pedagogical repertoire. The results demonstrate the importance of considering the social and emotional needs of students in addition to the quality of the information provided.

To the best of the authors’ knowledge, this study is the first attempt to integrate system characteristics, particularly with social and emotional factors. Furthermore, this study extends the literature on WhatsApp use in higher education by testing the drivers of students’ satisfaction and loyalty.

The purpose of this paper is to examine the interrelationship of marketing, accounting and auditing with corporate social responsibility (CSR) to determine the benefit of CSR marketing, the responsibility of Board of Directors (BODs) with CSR accounting and the duty of external auditors with CSR that has influence on corporate sector.

This paper uses exploratory and qualitative data obtained from multiple research methods, to investigate benefit of CSR marketing, the responsibility of BODs with CSR accounting and the duty of external auditors with CSR and of its practices by companies’ websites, google search, annual reports and CSR reports from all listed companies in the Muscat Securities Market, Oman. The data are used to critically examine and revise a previously published explanatory framework that identifies interrelationship of CSR marketing, accounting with CSR and auditing with CSR.

Results indicate that CSR marketing, CSR accounting and CSR auditing are closely interrelated for accepting and implementing CSR requirements by corporates. This finding suggests that the benefit of CSR marketing, the responsibility of BODs with CSR accounting and the duty of external auditors with CSR has positively influence on corporate sector. The finding helps to build good image by corporates.

Organizations from developing countries such as Oman should be aware of CSR marketing, CSR accounting and CSR auditing that affects decisions with CSR adoption and implementation by organizations that could also lead to competitive advantage when it operates in developed countries. Though, organizations in developed countries are also equip for higher expectations by applying innovative CSR initiatives.

To the best of the author’s knowledge, this is the first academic literature review on interrelationship of marketing, accounting and auditing with CSR based on evidence from an Oman context. The paper contributes by exploring the benefit of CSR marketing, the responsibility of BODs with CSR accounting and the duty of external auditors with CSR which influence on corporate sector.

The aim of this paper is to investigate an optimal promotional strategy of intra-category cross-selling on culinary products for the fiercely competitive, fast-moving consumer goods (FMCG) industry.

A linear regression model and a Markov switching autoregressive model is used, that incorporates a retailing demand process to capture a nonlinear structure among promotional budget allocation, and evaluate promotional performance, and optimal promotional frequency within a given time span. Three product categories are applied with 39 months of time-series data from a multinational packaged food company in Taiwan.

The result shows that most previous decisions on promotional budget allocation are non-optimal – most promotional investments were either extended too long or allocated too low in stimulating sales.

This study suggests implications for the brand or category manager in removing such non-optimal promotional policies.

Previous promotional investment is evaluated by comparing the changes in promotional budget allocation. Markov's switching feedback rules are then applied to determine the proper length of equilibrium state with and/or without promotion. Finally, effective decision rules on magnitude, duration, and frequency of intra-category promotional strategy are induced.

The enormous amount of waste generated and the scarcity of natural resources worldwide have encouraged societies and industries to adopt the Circular Supply Chain (CSC) concept. With a focus on zero-waste generation, Circular Economy (CE) mimics the ecosystem cycle as an alternative to the traditional linear economic model. This paper aims to investigate the evolution of research themes in this research area, hence, trace the trajectory of development in the field of CSC.

The authors conduct scientometric analysis using Pajek and VOSviewer software to identify key themes in the Circular Supply Chain Management (CSCM) field. The Citation Path Analysis (CPA), including Main Path and Local Path analysis, has been followed by a critical review of the papers. This paper includes highlighting the interrelationships between the information flows in the topic of study as well as an analysis of keywords co-occurrence.

The analysis of keywords co-occurrence revealed that the earlier years of research in CSC were more inclined toward value chain, stakeholders and green supply chains, whereas, in recent years, topics like logistics, Industry 4.0 and food supply chain have been more focused upon. Further, the Main Path Analysis (MPA) revealed an evolving trajectory that examines challenges and opportunities in CSC, the economic aspects of implementing CSC, the impact on the firm's revenue growth and collaboration between multiple echelons of a supply chain and Industry 4.0.

The adoption of scientometrics analysis unveils the hidden flow of information, various themes of research and their interconnections. The development of research trajectories and progressive attention paid to certain topics is also discovered. The research findings could be used by researchers for further theoretical and research development.

This paper traces the path of development in the field of CSC and its emerging trends and provides a thorough understanding of the same. It enables research scholars to conduct an in-depth study in the CSC domain, adding to the body of literature.