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1 – 10 of 24Feng Huang and Zhigang Yu
Ecological small towns can attract a large number of rural surplus labors and ease the population pressure, how to carry out the planning and construction ecological town becomes…
Abstract
Ecological small towns can attract a large number of rural surplus labors and ease the population pressure, how to carry out the planning and construction ecological town becomes a hotspot of research. Based on this, planning and construction of ecological small towns absorbing surplus rural labor based on fuzzy evaluation method were proposed. First of all, planning and construction of small towns under the concept of ecology were elaborated; and then the planning and construction strategies of small towns integrating ecological concepts were put forward, including the utilization of water resources, ecological the landscape and transportation planning; at the same time, a project for ecological small town in Hebei Province was taken as an example for the planning and design; in addition, the planning objectives and layout planning were analyzed and evaluated by fuzzy evaluation method, and the results confirmed the success of planning and design.
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Zhigang Feng, Qi Wang and Katsunori Shida
To provide an overview of self‐validating sensor technology for researchers and engineers which can help them understand the concept and recent developments of this research area.
Abstract
Purpose
To provide an overview of self‐validating sensor technology for researchers and engineers which can help them understand the concept and recent developments of this research area.
Design/methodology/approach
The concept of self‐validating (SEVA) sensors, including definition, output parameters and requirement of SEVA sensors are introduced. The differences between SEVA sensors and traditional sensors are given from which we can see many advantages of SEVA sensors. The principium of SEVA sensors is presented by the functional architecture. The research development of SEVA sensors is introduced in two aspects: research development of sensor fault diagnosis and signal reconstruction and research development of SEVA sensor hardware.
Findings
Summarizes the methods for sensor fault diagnosis and signal reconstruction in the research of SEVA sensors, and the development steps of SEVA sensor hardware. Indicates the shortages and problems of current research and gives our research and ideas to solve these problems.
Originality/value
This paper provides a detailed description and research information of self‐validating sensor technology for those who want to know and research on this area.
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In this paper I investigate the nature of the differential in poverty by ethnicity in rural China using data from the Chinese Household Income Project in 2002. For that, I compare…
Abstract
In this paper I investigate the nature of the differential in poverty by ethnicity in rural China using data from the Chinese Household Income Project in 2002. For that, I compare observed poverty with that in a counterfactual distribution in which ethnic minorities are given a set of relevant village and household characteristics of the Han majority. In particular, I investigate the importance of the location of minorities in explaining their higher poverty levels. The ethnic poverty differential does not change after equalizing the distribution of the population by geographical region (unless we use a higher poverty line). However, it is reduced after equalizing other locational characteristics of minorities (such as them living in less developed and mountainous areas), their larger number of children, their low education, and their fewer skilled non-agriculture workers. Finally, the ethnic per capita (log) income differential is shown to be higher for higher percentiles, with an increasing role of the geographical region as the main driver of these higher differentials.
Xingwang Li, Jingwei Zhang, Zhigang Li, Feng Gao and Cheng Yu
This study aims to let researchers sort out the past, look to the future and boost further management research.
Abstract
Purpose
This study aims to let researchers sort out the past, look to the future and boost further management research.
Design/methodology/approach
This paper takes the exploration of the application of AR in the field of management research as the starting point. Through the combing and induction of AR literature to accurately grasp the essential characteristics of AR, this paper analyzes the application prospects and possible difficulties of AR in the field of management research in China, puts forward specific suggestions and explores the specific path of the transformation of management academic research to practice from the perspective of research methods.
Findings
In research methods, empirical research and case studies have become the mainstream research methods, but there is a passive research limitation of “study what happens.” Action research is different from the standpoint of empirical research that is independent of the research object. It no longer simply treats managers as the “object of information acquisition,” but as the subject of participating in the research. Management should be oriented towards the transformation of practice, and action research (AR) that can organically integrate researchers and practitioners is just a “bridge” to break the gap between academia and business circles to establish a cooperative relationship.
Originality/value
This paper takes the exploration of the application of AR in the field of management research as the starting point. Through the combing and induction of AR literature to accurately grasp the essential characteristics of AR, this paper analyzes the application prospects and possible difficulties of AR in the field of management research in China, puts forward specific suggestions and explores the specific path of the transformation of management academic research to practice from the perspective of research methods.
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Zhigang Zhou, Xingxing Wen and Fan Yang
Network embeddedness has been widely considered in enterprise innovation as an effective means of overcoming resource dilemmas. However, while focussing on acquiring external…
Abstract
Purpose
Network embeddedness has been widely considered in enterprise innovation as an effective means of overcoming resource dilemmas. However, while focussing on acquiring external innovation resources, the existing research often ignores the vital role of internal routine updates. Therefore, this study explores the mechanism by which network embeddedness affects innovation performance of enterprises from the perspective of organisational routine updating.
Design/methodology/approach
This paper proposes a theoretical model based on social network theory and organisational routines–immune response theory. A total of 328 pieces of research data on high-tech enterprises in China were collected, and the hypotheses were verified using hierarchical regression analysis.
Findings
The results show that the two forms of network embeddedness – structural embeddedness and relational embeddedness, have a positive effect on enterprise innovation performance and a significant positive effect on organisational routine revision and organisational routine creation. Both organisational routine revision and organisational routine creation positively affect enterprise innovation performance and partially mediate the relationship between network embeddedness and enterprise innovation performance.
Originality/value
This conclusion provides a new perspective on the impact of network embeddedness on enterprise innovation performance and expands the related research on organisational routine updating. This study provides a theoretical reference for high-tech enterprises to improve their competitiveness and innovation performance through network embeddedness and organisational routine updating.
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Mianzhi Yang, Qing Hui, Qingru Yang, Mengwei Fan and Xin Li
China has recently introduced a new audit law that aims to increase the scope of audit supervision and raise the standards for preventing risks in auditing national public…
Abstract
Purpose
China has recently introduced a new audit law that aims to increase the scope of audit supervision and raise the standards for preventing risks in auditing national public projects. This paper presents a systematic research study on the causes of audit risks in national public projects and discusses the process by which these causes contribute to the emergence of such risks. Furthermore, the paper investigates the core risk sources in various types of national construction project audit. This paper aims to provide theoretical support for auditors of national construction projects in risk avoidance when conducting audits.
Design/methodology/approach
In this study, the authors carefully selected five national public audit projects from China and performed a comprehensive analysis of 85 relevant audit documentation. The textual analysis was conducted using Nvivo12 software, and the grounded theory approach was adopted for generalization purposes.
Findings
Based on the research results, the findings suggest that there are five key causes contributing to the audit risk of national construction projects: professional competence, risk awareness, management capacity, level of attention and deliberate fraud. The most critical factor identified is management capability, with 59.93% of the data supporting this view. This conclusion was based on an analysis of state-owned enterprises, administrative organs and public institutions. Building upon this, a framework titled “the mechanism of audit risk factors with management capability as the core” was constructed.
Originality/value
This paper employs qualitative analysis methods to examine national construction projects in China, contributing new literature to the theoretical study of audit risk management. The article also provides practical recommendations for auditors on how to mitigate audit risks and improve the quality of audit services in national project governance.
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Edgardo Molina, Alpha Diallo and Zhigang Zhu
The purpose of this paper is to propose a local orientation and navigation framework based on visual features that provide location recognition, context augmentation, and viewer…
Abstract
Propose
The purpose of this paper is to propose a local orientation and navigation framework based on visual features that provide location recognition, context augmentation, and viewer localization information to a blind or low‐vision user.
Design/methodology/approach
The authors consider three types of “visual noun” features: signage, visual‐text, and visual‐icons that are proposed as a low‐cost method for augmenting environments. These are used in combination with an RGB‐D sensor and a simplified SLAM algorithm to develop a framework for navigation assistance suitable for the blind and low‐vision users.
Findings
It was found that signage detection cannot only help a blind user to find a location, but can also be used to give accurate orientation and location information to guide the user navigating a complex environment. The combination of visual nouns for orientation and RGB‐D sensing for traversable path finding can be one of the cost‐effective solutions for navigation assistance for blind and low‐vision users.
Research limitations/implications
This is the first step for a new approach in self‐localization and local navigation of a blind user using both signs and 3D data. The approach is meant to be cost‐effective but it only works in man‐made scenes where a lot of signs exist or can be placed and are relatively permanent in their appearances and locations.
Social implications
Based on 2012 World Health Organization, 285 million people are visually impaired, of which 39 million are blind. This project will have a direct impact on this community.
Originality/value
Signage detection has been widely studied for assisting visually impaired people in finding locations, but this paper provides the first attempt to use visual nouns as visual features to accurately locate and orient a blind user. The combination of visual nouns with 3D data from an RGB‐D sensor is also new.
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The purpose of this paper is to provide an overview of navigational assistive technologies with various sensor modalities and alternative perception approaches for visually…
Abstract
Purpose
The purpose of this paper is to provide an overview of navigational assistive technologies with various sensor modalities and alternative perception approaches for visually impaired people. It also examines the input and output of each technology, and provides a comparison between systems.
Design/methodology/approach
The contributing authors along with their students thoroughly read and reviewed the referenced papers while under the guidance of domain experts and users evaluating each paper/technology based on a set of metrics adapted from universal and system design.
Findings
After analyzing 13 multimodal assistive technologies, the authors found that the most popular sensors are optical, infrared, and ultrasonic. Similarly, the most popular actuators are audio and haptic. Furthermore, most systems use a combination of these sensors and actuators. Some systems are niche, while others strive to be universal.
Research limitations/implications
This paper serves as a starting point for further research in benchmarking multimodal assistive technologies for the visually impaired and to eventually cultivate better assistive technologies for all.
Social implications
Based on 2012 World Health Organization, there are 39 million blind people. This paper will have an insight of what kind of assistive technologies are available to the visually impaired people, whether in market or research lab.
Originality/value
This paper provides a comparison across diverse visual assistive technologies. This is valuable to those who are developing assistive technologies and want to be aware of what is available as well their pros and cons, and the study of human-computer interfaces.
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Online complaints have emerged as a pivotal avenue for customers to voice their dissatisfaction. In this context, bystanders, as third-party observers, actively engage in…
Abstract
Purpose
Online complaints have emerged as a pivotal avenue for customers to voice their dissatisfaction. In this context, bystanders, as third-party observers, actively engage in evaluating and judging these complaints. However, studies pertaining to bystanders in online customer complaints remain limited. Therefore, this study aims to integrate deontic justice theory and attribution theory to construct a research model of bystanders’ support for online customer complaints.
Design/methodology/approach
Leveraging a questionnaire and two scenario experiments, SPSS 24.0 and AMOS 24.0 were used to examine the relationship between bystanders’ moral outrage and their support for online customer complaints, the mediating role of responsibility attribution and the moderating role of experience similarity and online anonymity.
Findings
Based on the statistical analysis, the results show that bystanders’ moral outrage significantly enhances their support for online customer complaints; responsibility attribution plays a mediating role between moral outrage and bystanders’ support for online customer complaints; experience similarity and online anonymity can moderate the relationship between moral outrage and bystanders’ support for online customer complaints.
Originality/value
The findings of this study not only enrich the literature on online customer complaints but also provide valuable insights for companies to understand the diffusion of online complaints and effective strategies with which to address them.
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Xin Qi, Xinlei Lv, Zhigang Li, Chunbaixue Yang, Haoran Li and Angelika Ploeger
Understanding young adults’ organic food purchasing behavior in the fresh food e-commerce platforms (FFEP) is crucial for expanding the global environmental product market. The…
Abstract
Purpose
Understanding young adults’ organic food purchasing behavior in the fresh food e-commerce platforms (FFEP) is crucial for expanding the global environmental product market. The study aims to investigate how specific characteristics of platforms and organic food information impact young adults’ perceived value, leading to their subsequent purchase intention.
Design/methodology/approach
Around 535 valid responses were collected through an online survey and then analyzed applying a two-stage structural equation model (SEM) and artificial neural network (ANN) approach.
Findings
Results of this research show that platform characteristics (including system quality and evaluation system) and product information characteristics (including organic label, ingredient information and traceability information) significantly affect young adults’ perceived utilitarian and hedonic value. The platform’s service quality has a strong effect on their perceptions of hedonic value, while the delivery system strongly influences their utilitarian value. Moreover, the perceived value, as a crucial mediator, plays a significant role in moderating the influence of platform and product information characteristics on the purchase intentions of young consumers regarding organic food.
Originality/value
Previous research has overlooked the credence attributes of organic food and particularities of online purchasing, focusing instead on general platform and product characteristics. This study addresses this gap by proposing a more appropriate model that integrates the characteristics of both the platform and product information. This offers theoretical and managerial implications for effectively stimulating organic food consumption among young adults in online environments.
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