Jun Sun, Cynthia Changxin Wang, Zhiling Yang, Tianshu Yu, Jintao Li and Xiaoqian Xiong
Modern construction projects are increasingly complex and rely heavily on multi-discipline collaboration, and this leads to a more and more decentralized project-based structure…
Abstract
Purpose
Modern construction projects are increasingly complex and rely heavily on multi-discipline collaboration, and this leads to a more and more decentralized project-based structure widely adopted in the construction industry. While job satisfaction (JS) and job performance (JP) have been heavily studied previously, few considered the impact of organizational structure and none investigated the relationship between the organizational decentralization degree with JS and JP. This research aims to fill this research gap and investigate the impacts of organizational decentralization degree on JS and JP and facilitate a better project management practice for large-scale construction projects.
Design/methodology/approach
This research firstly establishes four hypotheses based on the literature review on general project-based organizations, then the hypotheses are tested by a survey covering 25 large complex construction projects in China. A hierarchical linear model analysis was carried out to analyze the survey data and to study the relationships between organizational decentralization degree, job satisfaction and job performance.
Findings
Analysis results show that projects' employees' JS and JP are positively correlated with the construction project organizations' decentralization degree, respectively. The decentralization degree has a higher impact on JS than on JP. Employees' JP is positively correlated with their JS, and a higher decentralization degree leads to a more significant positive impact that JS puts on JP.
Originality/value
The findings are new evidence of how construction organization structure and its decentralization degree can affect project employees' JS and JP. This research provides valuable guidance for the industry's management practice and is particularly important for large, complex and highly decentralized construction projects.
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Jintao Yu, Xican Li, Shuang Cao and Fajun Liu
In order to overcome the uncertainty and improve the accuracy of spectral estimation, this paper aims to establish a grey fuzzy prediction model of soil organic matter content by…
Abstract
Purpose
In order to overcome the uncertainty and improve the accuracy of spectral estimation, this paper aims to establish a grey fuzzy prediction model of soil organic matter content by using grey theory and fuzzy theory.
Design/methodology/approach
Based on the data of 121 soil samples from Zhangqiu district and Jiyang district of Jinan City, Shandong Province, firstly, the soil spectral data are transformed by spectral transformation methods, and the spectral estimation factors are selected according to the principle of maximum correlation. Then, the generalized greyness of interval grey number is used to modify the estimation factors of modeling samples and test samples to improve the correlation. Finally, the hyper-spectral prediction model of soil organic matter is established by using the fuzzy recognition theory, and the model is optimized by adjusting the fuzzy classification number, and the estimation accuracy of the model is evaluated using the mean relative error and the determination coefficient.
Findings
The results show that the generalized greyness of interval grey number can effectively improve the correlation between soil organic matter content and estimation factors, and the accuracy of the proposed model and test samples are significantly improved, where the determination coefficient R2 = 0.9213 and the mean relative error (MRE) = 6.3630% of 20 test samples. The research shows that the grey fuzzy prediction model proposed in this paper is feasible and effective, and provides a new way for hyper-spectral estimation of soil organic matter content.
Practical implications
The research shows that the grey fuzzy prediction model proposed in this paper can not only effectively deal with the three types of uncertainties in spectral estimation, but also realize the correction of estimation factors, which is helpful to improve the accuracy of modeling estimation. The research result enriches the theory and method of soil spectral estimation, and it also provides a new idea to deal with the three kinds of uncertainty in the prediction problem by using the three kinds of uncertainty theory.
Originality/value
The paper succeeds in realizing both the grey fuzzy prediction model for hyper-spectral estimating soil organic matter content and effectively dealing with the randomness, fuzziness and grey uncertainty in spectral estimation.
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Taoyong Su, Yuzhu Yu, Yuanqing Li and Jintao Zhang
Based on a theoretical framework of ambidexterity in technology sourcing beyond organizational and technological boundaries, this study aims to explore how start-ups balance…
Abstract
Purpose
Based on a theoretical framework of ambidexterity in technology sourcing beyond organizational and technological boundaries, this study aims to explore how start-ups balance technology sourcing in organizational ambidexterity (TSOA) to produce high venture performance.
Design/methodology/approach
A questionnaire survey is distributed among start-ups in the science and technology park of a university in eastern China, producing a total of 45 valid responses. The fuzzy-set approach to qualitative comparative analysis is used in this study.
Findings
The findings show that start-ups achieve high venture performance through external technology sourcing (external exploration and exploitation) in the initial stage. In the growth stage, start-ups adopt external and internal technology sourcing (internal exploration and exploitation) to produce high venture performance. The technology sourcing strategy in ambidextrous activity for start-ups is punctuated equilibrium and evolving from the external ambidexterity to internally and externally coordinate ambidexterity at entrepreneurial stages.
Originality/value
This study creatively adopts configuration-based thinking to investigate how to balance TSOA for high venture performance, extending the literature on technology sourcing and contributing to the balance theory of exploration and exploitation.
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Jintao Zhan, Yubei Ma, Pengcheng Deng, Yinqiu Li, Meng Xu and Hang Xiong
The regulations for qualitative genetically modified (GM) food labeling do not effectively eliminate the information asymmetries pertaining to the consumption of GM products…
Abstract
Purpose
The regulations for qualitative genetically modified (GM) food labeling do not effectively eliminate the information asymmetries pertaining to the consumption of GM products. China's GM food labeling law requires the presentation of certain categories of GM products on GMO labels on packages. Such information is invaluable for understanding whether the disclosure of more information on GM foods can help alleviate information asymmetry while reducing consumer fear and risk perceptions of GM foods, and thus cause changes in their behaviors. The purpose of this paper is to explore the heterogeneity of consumer preferences for enhanced GM food labeling, how consumer preferences are influenced by labeling information, and how these preferences vary in different consumers.
Design/methodology/approach
Both descriptive statistics and econometric techniques, including the multivariate ordered Probit model, were applied to a sample of 566 urban consumers in the Yangtze River Delta region of China. All respondents were divided into two groups: people who would definitely not buy GM foods before selecting enhanced labeling information (“consumer group 1”, sample size 282) and people who would definitely not object to buying GM foods before selecting enhanced labeling information (“consumer group 2”, sample size 274).
Findings
The findings suggest that urban consumers have a preference for different types of enhanced labeling information about GM foods, that such a preference significantly influences their willingness to pay for GM foods, that there exists a large difference in the preferences of different consumer groups, and that enhanced GM food labeling information has a greater impact on those consumers who would not accept GM foods.
Originality/value
This research identifies the GM information disclosures that most affect consumer preferences and how these preferences vary across different segments of consumers, which is a current gap in the literature. The study has demonstrated that enhanced labels of GM foods with diverse information would not alter a consumer's WTP for GM foods who does not perceive the value of information from the enhanced labels, but change positively consumers with uncertainty willingness to pay before disclosure.
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Wanli Song, Hongliang Li, Jintao Ma, Zhichao Hu and Pei Shi
This paper aims to develop a new magnetorheological polishing (MRP) device with roller and investigate the polishing mechanism of MRP fluids using this new device.
Abstract
Purpose
This paper aims to develop a new magnetorheological polishing (MRP) device with roller and investigate the polishing mechanism of MRP fluids using this new device.
Design/methodology/approach
The principle of MRP process with roller is discussed, and then the structure of the polishing device is designed in detail. The polishing experiments of K9 glass are carried out using MRP device with roller.
Findings
A series of tests are performed to evaluate the effect of the excitation gaps, working gap and polishing time on the polishing characteristics, and the optimized polishing parameters can be obtained. The surface roughness Ra of the sample is reduced from 359 to 38 nm under optimized polishing parameters.
Originality/value
MRP method with roller is proposed in this paper, and the MRP device with roller can reduce the surface roughness Ra significantly. After being polished, the circular ring-shaped polishing belt disappears on the workpiece surface, which means it has great potential for polishing.
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Jintao Zhan, Yubei Ma, Xinye Lv, Meng Xu and Mingyang Zhang
Some researchers argue that consumers’ lack of knowledge is an important factor increasing risk for a new product derived from emerging agricultural technology. The purpose of…
Abstract
Purpose
Some researchers argue that consumers’ lack of knowledge is an important factor increasing risk for a new product derived from emerging agricultural technology. The purpose of this paper is to discuss the potential impacts and the differential effects of subjective and objective perceptions on Chinese consumers’ preferences for the application of a novel biotechnology.
Design/methodology/approach
Taking transgenic technology as an example and employing data from a survey of 1,000 consumers in Jiangsu Province, the authors develop a mixed-process regression model based on Fishbein’s multiple attributes attitude model.
Findings
The results suggest that there are apparent differences between Chinese consumers’ subjective perceptions and objective perceptions concerning transgenic technology and genetically modified (GM) food, and there exists certain selective perceptions of the emerging biotechnology. Having a subjective perception concerning transgenic technology has a positive effect on consumers’ overall attitudes, whereas subjective and objective perceptions concerning GM foods have a negative effect on consumers’ overall attitudes. Self-identification generated from subjective perception occupies a dominant position in determining consumers’ attitudes.
Originality/value
Consumers’ attitudes regarding an agricultural product depend on their perception of the attributes of the technology used to produce such a product. This study attempts to distinguish and empirically test urban consumers’ subjective perceptions (self-assessed or perceived) and objective perceptions (obtained from a test) about transgenic technology and GM foods and the impact of these four types of perception on the consumers’ attitudes regarding the application of transgenic technology. In this paper, the authors construct a mixed-process regression model to address the possible endogeneity of the perception variables.
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Wenfang Lin, Yifeng Wang, Georges Samara and Jintao Lu
The sustainable development of the platform economy has been hindered by the absence and alienation of platform corporate social responsibility. Previous studies have mainly…
Abstract
Purpose
The sustainable development of the platform economy has been hindered by the absence and alienation of platform corporate social responsibility. Previous studies have mainly focused on the contents and governance models for platform corporate social responsibility. This study seeks to explore which strategy participants choose in the governance of platform corporate social responsibility and their influencing factors.
Design/methodology/approach
Using a platform ecosystem approach, a quadrilateral evolutionary game model was developed, and the stabilities of subjects’ behavioral strategies and their combinations in various scenarios were analyzed. Additionally, the effects of key parameters on the system’s evolutionary path were simulated.
Findings
The ideal steady state system is achieved when platform enterprises, complementors and consumers adopt positive strategies while the government adopts lax regulation. Moreover, the evolutionary strategies of the subjects are influenced by several factors, including the participation costs of governance, the rewards and punishments imposed by platform enterprises, as well as the reputational losses of platform enterprises and complementors due to media coverage.
Practical implications
This study offers insights into improving the governance effectiveness of platform corporate social responsibility for managers and practitioners.
Originality/value
This study contributes to existing literature by considering the rational orientation of platform ecosystem members and revealing the interaction mechanisms among members. Furthermore, this study combines collective action theory and reputation theory to clarify the influencing factors on members’ behaviors.
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Kejia Chen, Jintao Chen, Lixi Yang and Xiaoqian Yang
Flights are often delayed owing to emergencies. This paper proposes a cooperative slot secondary assignment (CSSA) model based on a collaborative decision-making (CDM) mechanism…
Abstract
Purpose
Flights are often delayed owing to emergencies. This paper proposes a cooperative slot secondary assignment (CSSA) model based on a collaborative decision-making (CDM) mechanism, and the operation mode of flight waves designs an improved intelligent algorithm to solve the optimal flight plan and minimize the total delay of passenger time.
Design/methodology/approach
Taking passenger delays, transfer delays and flight cancellation delays into account comprehensively, the total delay time is minimized as the objective function. The model is verified by a linear solver and compared with the first come first service (FCFS) method to prove the effectiveness of the method. An improved adaptive partheno-genetic algorithm (IAPGA) using hierarchical serial number coding was designed, combining elite and roulette strategies to find pareto solutions.
Findings
Comparing and analyzing the experimental results of various scale examples, the optimization model in this paper is greatly optimized compared to the FCFS method in terms of total delay time, and the IAPGA algorithm is better than the algorithm before in terms of solution performance and solution set quality.
Originality/value
Based on the actual situation, this paper considers the operation mode of flight waves. In addition, the flight plan solved by the model can be guaranteed in terms of feasibility and effectiveness, which can provide airlines with reasonable decision-making opinions when reassigning slot resources.
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Hui-Wen Deng and Kwok Wah Cheung
The National People’s Congress (NPC) of People’s Republic of China, the highest organ of state power, is popularly seen as a rubber-stamp entity. However, it has been…
Abstract
Purpose
The National People’s Congress (NPC) of People’s Republic of China, the highest organ of state power, is popularly seen as a rubber-stamp entity. However, it has been substantially evolving its roles to accommodate the governance discourses within China’s political system over the decades. This study aims to explore the changes of governance discourse of the NPC within China’s political system through which to offer a thorough understanding of the NPC’s evolving substantial role in current China.
Design/methodology/approach
This study deploys a historical approach to explore the changes of governance discourse of the NPC that has seen a growing importance in China’s political agenda, as argued by this study.
Findings
The authors find that the NPC has been substantially evolving its role within China’s political system in which the Chinese Communist Party has created different governance discourses. Besides, the NPC and its Standing Committee have asserted its authority as a substantial actor within China’s political system. The NPC is no longer functioned as a rubber-stamp institution, though it is still popularized as a rubber stamp by many scholars.
Research limitations/implications
This study is a historical elaboration on the development of NPC under three governance discourses. It might be, to some extent, relatively descriptive in nature.
Originality/value
This study, therefore, sheds some light on a revisit on the governance discourses in current China.
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Using the methodologies of text mining, this paper examines the implications of US and Chinese policies on bilateral trade. Official speeches by political leaders of the U.S. and…
Abstract
Using the methodologies of text mining, this paper examines the implications of US and Chinese policies on bilateral trade. Official speeches by political leaders of the U.S. and China on the issues of trade were collected and analytically examined for US-China gaps in major foreign policies, such as bilateral trade and the Belt and Road Initiative. In this paper, a term frequency-inverse document frequency word cloud, a network similarities index, machine learning-processed latent Dirichlet allocation (LDA), and structural equivalence are applied to examine the meanings of the speeches. The main arguments in this paper are as follows. First, the document similarity between the speeches of Chinese and US leaders appears to be completely different. Also, while the documents from Chinese leaders are considerably similar, the documents from US leaders differ by far. Secondly, LDA topic analysis indicates that China concentrates more on international and collaborative relationships, while the U.S. has more focus on domestic and economic interests. Third, from a word hierarchy analysis, the basic words used by American and Chinese leaders are also completely different. Agriculture, farmers, automobiles, and negotiations are the basic words for American leaders, but for Chinese leaders, the basic words are planning, markets, and education.