Neng Shen, Yuqing Zhao and Rumeng Deng
This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research…
Abstract
Purpose
This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research hotspots in this field.
Design/methodology/approach
Uses visualization tools (CiteSpace and HistCite) to systematically categorize the literature on carbon-trading schemes in the Web of Science core collection from 1998 to 2018, comprehensively analyzes carbon-trading schemes from four dimensions, namely, discipline evolution, keyword evolution, citation cluster evolution and citation path evolution.
Findings
Research on carbon-trading schemes has a specific development and evolution path along four dimensions, namely, in the discipline dimension, the largest change lies in the mathematics pointed to by at least four different disciplines; the keyword evolution dimension shows a gradual deepening emphasis on coordinated development; citation clusters identify three major clusters – carbon prices, China’s carbon trading, carbon market and supply chain; and citation paths identify three major evolutionary paths, the most important of which shows that “What affects carbon price?” has changed to “What is the impact of carbon prices?”
Originality/value
Reveals the evolution path of carbon trading research studies and proposes four possible development directions for carbon-trading scheme research, which is helpful for future carbon trading-related research and serves as a reference for the promotion of and improvements in carbon-trading schemes.
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Yuqing Zhao, Xi Zhang, Jingyi Wang, Kaihua Zhang and Patricia Ordóñez de Pablos
The purpose of this paper is to verify the relationship between the features of social media and knowledge sharing, and to examine how ambient awareness mediates this relationship.
Abstract
Purpose
The purpose of this paper is to verify the relationship between the features of social media and knowledge sharing, and to examine how ambient awareness mediates this relationship.
Design/methodology/approach
An experiment is designed to stimulate the knowledge work in a famous Chinese business college and 156 valid samples were obtained. AMOS was used in this paper to examine the theoretical model.
Findings
There is a correlation among features of social media, ambient awareness and knowledge sharing. Surprisingly, network translucence, which indicates individuals’ meta-knowledge of others’ connections, has no influence on knowledge sharing. Although this is inconsistent with conjecture of the existing literature, it can be well explained by the phenomenon in real life, such as privacy setting in social media.
Practical implications
For employees who use social media to promote knowledge sharing within organizations, this study reminds them of the importance of ambient awareness. For managers, this study can give them some suggestions to make employees take full advantage of social media to achieve optimal benefits of knowledge sharing, thus improving organizational performance and innovation. For social media designers, they can make social media more useful in knowledge work by improving its specific features.
Originality/value
This paper proposes that ambient awareness is the mediator of the effect path between communication and knowledge sharing. And the status perception of coworkers’ exchanging information is closely related to knowledge sharing.
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Shuling Zhou, Xi Zhang, Juan Liu, Kaihua Zhang and Yuqing Zhao
Smart cities show a “booming” trend both in the academia and the industry in recent years. Scholars across the world have been investigating how new technologies are applied to…
Abstract
Purpose
Smart cities show a “booming” trend both in the academia and the industry in recent years. Scholars across the world have been investigating how new technologies are applied to develop new services to the inhabitants and cities all over the world also address the “smart cities” challenges by promoting policymaking and governance. This paper aims to conduct in-depth research on smart cities by combining the study of governance policy study and information technology study.
Design/methodology/approach
This paper empirically mapped the trends of smart city development, outstanding scholars and hot topics about smart cities by analyzing important references using CiteSpace. The authors visualized references and topics to analyze smart city research, based on empirical data from Web of Science. Furthermore, two most important research branches – topics from smart city governance research and those from information systems (IS) research were studied, respectively.
Findings
First, the authors mapped the development of research and divided the development into three different stages. Second, the authors explored important, influential and instructive publications and publications’ attributes including authors, institutions, journals and topics. Third, the authors found there are different characteristics between the IS group and the governance group in publication situations, influential institutions, journals and authors, although the research points of the two branches are overlapping and fragmented. Finally, the authors proposed important topics, which include “internet of things (IoT)”, “big data”, “smart city systems” and “smart city management” and the authors predicted that “IoT” and “smart city challenge” would be future trends in recent years.
Originality/value
This study is an innovative research of its category because it visualized the development of smart city research, analyzed both governance and technology branches of smart city research synthetically using CiteSpace and forecasted future trends of smart city research by topics analysis and visualization of evolution.
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Quanwu Zhao, Jiamin Yuan, Yuqing Liu and Jiaqin Yang
Couriers are in an unequal relationship with on-demand logistic platforms with regards to order assignment and delivery-related information acquisition, which leads to high…
Abstract
Purpose
Couriers are in an unequal relationship with on-demand logistic platforms with regards to order assignment and delivery-related information acquisition, which leads to high courier turnover rates. Based on social cognitive theory and justice theory, this research investigates the impact of order assignment and delivery-related information disclosure strategy on couriers' perceived justice and continuous participation intention and presents managerial suggestions to on-demand logistic platforms to lower the courier turnover rate.
Design/methodology/approach
Taking Chinese couriers as experimental subjects, this study conducts experiments by constructing an order receiving scene of order assignment strategy (performance-priority vs distance-priority) and delivery-related information disclosure strategy (detailed-information vs brief-information) and analyzes the results of 452 valid respondents.
Findings
The results indicate that the interaction between order assignment and delivery-related information disclosure strategy in on-demand logistics significantly affects couriers’ continuous participation intention, specifically under performance-priority order assignment and detailed-information (vs brief-information) disclosure strategy. Informational justice and distribution justice play mediating roles, and work experience and proactive personality moderate the relationship interactions.
Practical/Social implications
The research helps us to understand the order-receiving justice demand and delivery-related information demand of couriers in on-demand logistics platforms and sheds light on cutting down turnover rates through different strategies designs and justice environment construction.
Originality/value
This research integrates social cognitive theory into on-demand logistics and combines with justice theory to fill platform strategies, couriers’ justice perception and characteristics, as well as behavior into “triadic reciprocal causation.” Meanwhile, it investigates different impacts and interactive relationships of order assignment and delivery-related information disclosure strategy, expands strategies from the impact of operational efficiency to the impact of couriers’ participation and extends the literature of justice perception and individual characteristics in on-demand logistics.
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Yanting Huang, Sijia Liu and Yuqing Liang
This paper aims to explore the effect of fairness concerns on supply chain members' optimal decisions and profits, to compare their profits under different policies, and to…
Abstract
Purpose
This paper aims to explore the effect of fairness concerns on supply chain members' optimal decisions and profits, to compare their profits under different policies, and to investigate the impact of each policy on members, consumers, and the environment with fairness concerns.
Design/methodology/approach
Considering government policies and fairness concerns in recycling management, this paper develops five recycling and remanufacturing decision models (anarchy policy model, reward-penalty mechanism model, recycling investment subsidies model, government tax model, and fund subsidy system model). In each model, the manufacturer and the online platform form the Stackelberg game. This research further discusses comprehensive environmental benefits and consumer surplus under five scenarios.
Findings
First, the fairness concerns of the online platform inhibit the recovery rate and supply chain members' profit while increasing the platform's utility. Second, fairness concerns increase the profit gap between the manufacturer and online platform, and the higher the degree of fairness concerns, the greater the profit gap; however, the four policies reduce the profit gap. Finally, when there are fairness concerns, environmental taxes damage the interests of supply chain members and consumers, but are most beneficial to the environment; recycling investment subsidies are on the contrary; the fund subsidy system depends on the relative size of the treatment fund and the subsidy fund.
Originality/value
This paper provides useful insights on how to regulate government policy to improve supply chain management with fairness concerns.
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Building social capital between groups of people and developing social enterprises that integrate social goals into commercial business models are rapidly adopted as innovative…
Abstract
Building social capital between groups of people and developing social enterprises that integrate social goals into commercial business models are rapidly adopted as innovative poverty relief mechanisms across countries. Together, the translation of social relationships into increased accessibility to resources, and the entrepreneurial dynamics resulting in additional services and goods, are thought to meet the survival and developmental needs of poor families and communities. However, the socio-economic contexts, in which new public policies and initiatives have been taken, vary from country to country. In China, its strong Confucian culture, state-led development strategy, weak civil society, and hierarchical social relationships have contributed to a value structure of social capital, but decreased the efficiency of business practice in social enterprise. This chapter presents a case study of Rural Cooperative Program, a poverty relief initiative in China’s southwest Guizhou Province. With the introduction of China’s new policies in welfare and rural development, this chapter presents evaluation results of whether social enterprises and entrepreneurship can improve poor villagers’ socio-economic wellbeing and promote sustainable development of poor rural villages in China, and to what extent social capital has been mobilized to facilitate the Rural Cooperative Program.
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Zhongyi Hu, Raymond Chiong, Ilung Pranata, Yukun Bao and Yuqing Lin
Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this…
Abstract
Purpose
Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this paper to investigate the use of machine learning techniques for malicious web domain identification by considering the class imbalance issue (i.e. there are more benign web domains than malicious ones).
Design/methodology/approach
The authors propose an integrated resampling approach to handle class imbalance by combining the synthetic minority oversampling technique (SMOTE) and particle swarm optimisation (PSO), a population-based meta-heuristic algorithm. The authors use the SMOTE for oversampling and PSO for undersampling.
Findings
By applying eight well-known machine learning classifiers, the proposed integrated resampling approach is comprehensively examined using several imbalanced web domain data sets with different imbalance ratios. Compared to five other well-known resampling approaches, experimental results confirm that the proposed approach is highly effective.
Practical implications
This study not only inspires the practical use of online credibility and performance data for identifying malicious web domains but also provides an effective resampling approach for handling the class imbalance issue in the area of malicious web domain identification.
Originality/value
Online credibility and performance data are applied to build malicious web domain identification models using machine learning techniques. An integrated resampling approach is proposed to address the class imbalance issue. The performance of the proposed approach is confirmed based on real-world data sets with different imbalance ratios.
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Liping Ding, Jiangshan Li, Yuqing Wang, Jing Shuai and Xinxin Xu
Under the pressure of environment degradation and energy consumption rises, solar photovoltaic power generation (SPPG) has been seen as a strategic emerging industry in China…
Abstract
Purpose
Under the pressure of environment degradation and energy consumption rises, solar photovoltaic power generation (SPPG) has been seen as a strategic emerging industry in China. However, the SPPG projects have many uncertain factors in the process of the life cycle. The purpose of this paper is to evaluate the investment risk comprehensively.
Design/methodology/approach
Specifically, this paper firstly identified the risk factors and consequences of SPPG project investment and constructed the investment risk factor evaluation index system. Secondly, the factor analysis method was used to reveal the key investment risk factors and risk consequences. Then, the research hypotheses and conceptual model were proposed, and the empirical analysis was conducted based on the structural equation model (SEM).
Findings
The results showed that the six key risk factors (political, economic, technological, management, market and natural) have a significant impact on the risks during the whole period. The influence degree of risk factors in the operational period is such that market factor > political factor > economic factor > management factor > natural factor > technical factor. In addition, the risk of constructional period has a significant impact during the risk of operational period. Except for natural factors, all risk factors are correlated among the mutual influence relationship of risk factors. Finally, this paper puts forward management implications based on the above conclusions: effectively identify investment risk factors and comprehensively improve risk management ability; (refine the risk factors of SPPG project investment and develop targeted risk prevention and control strategies; define risk management objectives and make relevant strategic plans.
Research limitations/implications
Because of the chosen research approach, the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further.
Practical implications
It can also help stakeholders propose risk prevention strategies throughout the entire process, to promote the sustainable development of SPPG projects.
Originality/value
This study focuses on the investment risk of SPPG projects, by building an evaluation index system to identify key risk factors, and then establishes a SEM covering constructional period risks and operational period risks to better explore SPPG project risks, in an effort to reveal the mutual influence relationship and influence path of investment risk factors of the projects.
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Yuqing Liu, Chunxiao Li, Scott McCabe and Hong Xu
By adopting retrospective evaluation theories, this study aims to explain how innovations provided by separate suppliers in the tourism value chain influence tourist’s perceived…
Abstract
Purpose
By adopting retrospective evaluation theories, this study aims to explain how innovations provided by separate suppliers in the tourism value chain influence tourist’s perceived value of the overall experience and further uncover which innovative product attributes are more effective in improving tourist perceptions of the overall value.
Design/methodology/approach
A survey yielded 584 valid responses from tourists who had experienced specific tourist product innovations during their travels. Structural equation modelling was used to test the proposed theoretical model.
Findings
The results reveal that tourists evaluate overall travelling experience value either by recalling an intense, impressive moment (i.e. a heuristic approach) or through an evaluation of the overall utility gained from the whole trip (i.e. a normative approach). Furthermore, innovations that are perceived as increasing convenience and enabling learning contribute to tourists’ overall value perception through both normative and heuristic approaches, while immersion resulting from innovation only contributes to overall perceived value through the heuristic approach.
Practical implications
Given the complex service ecosystem of tourism destinations, each tourism service provider should consider how innovations contribute to the experience of the whole trip and which attributes of innovations increase tourists’ overall perceived experience value.
Originality/value
This study complements existing knowledge by revealing the relationship between product innovation in tourism sectors and tourists’ perceived value of the whole trip. Moreover, it offers a theoretical framework for further investigation into service product innovation in hospitality and tourism industry.
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Yi-Hsin Lin, Zixuan Huang and Yuqing Gao
This study investigates the influence of market and hierarchy organizational cultures on international project performance and examines the mediating role of relational capital.
Abstract
Purpose
This study investigates the influence of market and hierarchy organizational cultures on international project performance and examines the mediating role of relational capital.
Design/methodology/approach
In-depth interviews and a cross-sectional questionnaire survey were conducted to collect primary data within international projects. Hierarchical regression analysis was used to test the hypotheses based on data collected from 62 respondents.
Findings
The results reveal that both market and hierarchy cultures affect international project performance positively. Additionally, communication, cooperation and trust help enhance project performance; however, commitment is not. This study also proves the mediating role of relational capital between organizational culture and project performance.
Research limitations/implications
This study selected only two types of organizational culture represented by Chinese construction enterprises. Future studies can explore the mediating role of relational capital between other varieties of organizational culture and project performance.
Originality/value
Given the high complexity and risks faced by projects abroad, both organizational culture, the internal environmental factor and relational capital being the external resource, are crucial for project success. This study clarifies the relationship between organizational culture, relational capital and project performance overseas. Empirical evidence to enhance international project performance for construction enterprises is provided. This study also makes contributions to international contractors who want to implement projects in developing countries.