Guochao Zhao, Xiaofen Yu, Juanfeng Zhang, Wenxia Li and Peiyi Wu
Improvement of the environment quality and human development has become the main focus of modern urban development. Micro-renewal is a relatively people-oriented model of urban…
Abstract
Purpose
Improvement of the environment quality and human development has become the main focus of modern urban development. Micro-renewal is a relatively people-oriented model of urban transformation compared with traditional renewal modes. To improve the theoretical system of neighborhood micro-renewal from a microcosmic perspective, a comprehensive analysis of neighborhood residents' cognition is needed. The purpose of the study is to explore the possibilities and methods of applying gene theory into the study of neighborhood micro-renewal.
Design/methodology/approach
According to the meme theory, the research explores the genetic analysis of neighborhood micro-renewal. The cross-over studies with “gene theory” from natural science to social science are analyzed and the neighborhood micro-renewal system was constructed from the perspective of micro-participants and micro-objects. Moreover, the concept of neighborhood “micro-renewal gene” was put forward. Finally, the authors show three application scenarios of public participation with a specific neighborhood micro-renewal project.
Findings
The cross research on urban studies with gene theory could be divided into three scales and four research fields. The characteristics of carrying out neighborhood micro-renewal in China could be summarized as micro-participants and micro-objects. Residents' cognition could be considered as “micro-renewal gene” in refer to meme theory. The application scenarios of introducing “micro-renewal gene” into the study of neighborhood renewal are of great potentialities.
Originality/value
Neighborhood micro-renewal system was constructed from the perspective of micro-participants and micro-objects. Moreover, neighborhood “micro-renewal gene” was proposed and applied into the study of this system in refer to meme theory.
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Lei Huang, Yandong Zhao, Guangxi He, Yangxu Lu, Juanjuan Zhang and Peiyi Wu
The online platform is one of the essential components of the platform economy that is constructed by a large scale of the personal data resource. However, accurate empirical test…
Abstract
Purpose
The online platform is one of the essential components of the platform economy that is constructed by a large scale of the personal data resource. However, accurate empirical test of the competition structure of the data-driven online platform is still less. This research is trying to reveal market allocation structure of the personal data resource of China's car-hailing platforms competition by the empirical data analysis.
Design/methodology/approach
This research is applying the social network analysis by R packages, which include k-core decomposition and multilevel community detection from the data connectedness via the decompilation and the examination of the application programming interface of terminal applications.
Findings
This research has found that the car-hailing platforms, which establish more constant personal data connectedness and connectivity with social media platforms, are taking the competitive market advantage within the sample network. Data access discrimination is a complementary method of market power in China's car-hailing industry.
Research limitations/implications
This research offers a new perspective on the analysis of the multi-sided market from the personal data resource allocation mechanism of the car-hailing platform. However, the measurement of the data connectedness requires more empirical industry data.
Practical implications
This research reveals the competition structure that relies on personal data resource allocation mechanism. It offers empirical evidence for governance, which is considered as the critical issue of big data research, by reviewing the nature of the data network.
Social implications
It also reveals the data convergence process of the social system and the technological system.
Originality/value
This research offers a new research method for the real-time regulation of the car-hailing platform.
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Yue Zhou, Peiyi Chen, Qingqing Liu and Tingxi Wang
The purpose of the study is to explore the relationship between leader bottom-line mentality (BLM) and employee social cyberloafing behavior. Based on social exchange theory, the…
Abstract
Purpose
The purpose of the study is to explore the relationship between leader bottom-line mentality (BLM) and employee social cyberloafing behavior. Based on social exchange theory, the authors propose that leader BLM will promote employee social cyberloafing behavior via psychological contract breach, especially when employee needs for relatedness is high.
Design/methodology/approach
To test the hypotheses, the authors conducted a multi-wave, multi-source field study with 185 paired employee–leader dyads at three time points. The hypotheses were tested by Mplus with a bootstrap approach to obtain confidence intervals.
Findings
The results show that leader BLM has a positive impact on employee social cyberloafing behavior, which is mediated by psychological contract breach. In addition, employee needs for relatedness moderates this process. Specifically, when employees pertain high needs for relatedness, the influence of leader BLM will be stronger.
Practical implications
This research paper highlights the detrimental influence of leader BLM and provide directions for preventing employee cyberloafing behavior.
Originality/value
Previous studies have drawn inconsistent conclusions on the effectiveness of leader BLM, such as enhancing task performance and eliciting social undermining. This study further explores the underlying mechanism linking leader BLM to employee social cyberloafing behavior and the boundary conditions. This has subsequently provided practitioners with new perspectives regarding why employees engage in counter-productive social cyberloafing.
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Jiapei Li, Liming Sun, Xin Feng, Peiyi He and Yue Zhang
This paper takes the current COVID-19 pandemic raging around the world as a realistic background and uses the informal scientific communication mode in social media as the…
Abstract
Purpose
This paper takes the current COVID-19 pandemic raging around the world as a realistic background and uses the informal scientific communication mode in social media as the theoretical basis. It aims to explore the characteristics and rules of scientific communication in social media under emergency events, grasp the potential and risks of scientific communication in social media in special times and provide a perspective of academic communication for the scientific response.
Design/methodology/approach
The authors select the enumeration data of the early COVID-19 theme papers spread on social media networks as the research object, apply descriptive statistical analysis to the basic statistical distribution of variables and use factor analysis and visualization methods to explore the law and characteristics of the spread of scientific papers on social media platforms.
Findings
It was found that users of the COVID-19 paper are mainly in North America, Europe and South America, followed by those in East Asia, Southeast Asia and Oceania. The users are mainly public figures, doctors and other practitioners, science communicators and scientists. The process of social media communication reflects three ways of knowledge construction, social interaction and academic communication, and there are three ways of communication law and changing trend of cross transition and integration.
Originality/value
This study observes the function and role of science communication in social media in a special period from a unique perspective of academic communication, so as to promote academic means to fight against the epidemic.
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Jiming Cai, Du Guonan and Liu Yuan
The purpose of this paper is to estimate the real urbanization level in China so as to provide a measurement that can be compared with the international level.
Abstract
Purpose
The purpose of this paper is to estimate the real urbanization level in China so as to provide a measurement that can be compared with the international level.
Design/methodology/approach
Taking into consideration 300m residents living in the administrative towns (300m residents here are referred to the population in administrative towns, including those in all counties), the gap between the urbanization rate of China and that of the world average becomes much wider.
Findings
China, however, implements the administrative system of government at the central, provincial, municipal, county and township levels. By city, it means the jurisdiction at and above the level of county, which includes the municipality directly under the central government, prefecture-level municipal and county. By town, it means the jurisdiction below the level of county (including the Chengguan Town, or capital town, where the county government is located) and exclusive of rural townships.
Originality/value
China has witnessed rapid development for 40 years since the reform and opening up in 1978. Nowadays, China has already stepped into the period of post-industrialization, with its urbanization rate (UR) of permanent population reaching 58.58 percent. However, on the basis of registered population, the UR is 43.37 percent, which is not only far below the average level of 81.3 percent in high-income countries, but also lower than the average of 65.8 percent in upper middle-income countries which are comparable to China in terms of per capita income. (The classification of state income level is based on the data of national income per capita and division standards in 2016 from the World Bank, in which annual revenue per capita in high-income countries reaches over US$12,736 and that in upper middle-income countries between US$4,126 and US$12,735.)
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Dongyun Nie, Paolo Cappellari and Mark Roantree
The purpose of this paper is to develop a method to classify customers according to their value to an organization. This process is complicated by the disconnected nature of a…
Abstract
Purpose
The purpose of this paper is to develop a method to classify customers according to their value to an organization. This process is complicated by the disconnected nature of a customer record in an industry such as insurance. With large numbers of customers, it is of significant benefit to managers and company analysts to create a broad classification for all customers.
Design/methodology/approach
The initial step is to construct a full customer history and extract a feature set suited to customer lifetime value calculations. This feature set must then be validated to determine its ability to classify customers in broad terms.
Findings
The method successfully classifies customer data sets with an accuracy of 90%. This study also discovered that by examining the average value for key variables in each customer segment, an algorithm can label the group of clusters with an accuracy of 99.3%.
Research limitations/implications
Working with a real-world data set, it is always the case that some features are unavailable as they were never recorded. This can impair the algorithm’s ability to make good classifications in all cases.
Originality/value
This study believes that this research makes a novel contribution as it automates the classification of customers but in addition, the approach provides a high-level classification result (recall and precision identify the best cluster configuration) and detailed insights into how each customer is classified by two validation metrics. This supports managers in terms of market spend on new and existing customers.
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Antony King Fung Wong, Mehmet Ali Koseoglu and Seongseop (Sam) Kim
This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.
Abstract
Purpose
This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.
Design/methodology/approach
Longitudinal analyses using 14,229 journal articles as data source were realized by adopting BibExcel, Gephi and VOSviewer network analysis software packages.
Findings
This study provides a comprehensive overview of the hospitality and tourism research based on authorship and social network analysis, with patterns of prolific authors compared over four distinct periods.
Research limitations/implications
The hospitality and tourism academic society is clearly illustrated by tracing academic publication activities across 20 years in the new millennium. In addition, this study provides a guide for scholars to search for multidisciplinary collaboration opportunities. Government agencies and non-governmental organisations can also benefit from this study by identifying appropriate review panel members when making decisions about hospitality- and tourism-related proposals.
Originality/value
To the best of authors’ knowledge, this study is the first to use bibliometric analysis in assessing research published in leading hospitality and tourism journals across the four breakout periods in the new millennium.