Understanding labour processes in global production networks: a case study of the football industry in Pakistan

ABSTRACT

Over the last few decades, the changing nature of global production and distribution processes has raised a number of critical questions regarding work and employment relations. Presenting a qualitative case study of the football industry in Pakistan as an example of the general mechanism of the social relations of re/production in a global system of industrial organization, this research highlights how and under what conditions informal workers are embedded in extended global production networks. By drawing on the integrated conceptual framework of the global production network (GPN) and labour process theory (LPT), this research sheds light on the working conditions and living realities of informal workers. A potential contribution of this paper is to extend the horizon of production network theory by analysing the work and employment conditions of informal workers, which are absent in existing discussions of these conceptual frameworks.     

网络标点符号使用现状探析

网络空间形式开放、 内容博杂, 网络语言中标点符号出现随意减省、 泛化使用、 错位使用、 乱用变体等现象,同时也呈现功能扩展、 超出标准、 空格替代以及与其他标示符号搭配使用的新变化、 新发展. 网络标点符号的现状与网络文化特征有密切关系, 使用者应把握网络标点符号的使用原则和特性.     

历史城区自行车绿道系统规划与设计的实证研究

为提升历史城区的绿道品质，优化非机动车出行环境，对自行车绿道系统的规划与设计方法进行了实证研究。根据自行车绿道系统的特性，按照空间形态特性将历史城区的自行车绿道系统分为单元、廊道及节点等3类要素，通过自组织映射图模型、最短路算法、旅行推销员算法及自行车路阻函数等，在地理信息系统上建立了基于赋权系数的自行车绿道系统规划方法，并应用所提出的方法对西安市主城区自行车绿道系统进行实证研究。研究结果表明，西安可以构建成包括22条骑行廊道、总长度142.6 km的自行车绿道网络，证明提出的方法能建立适用于历史城区出行特性的自行车绿道系统。     

Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network

Human factors are widely regarded to be highly contributing factors to maritime accident prevention system failures. The conventional methods for human factor assessment, especially quantitative techniques, such as fault trees and bow-ties, are static and cannot deal with models with uncertainty, which limits their application to human factors risk analysis. To alleviate these drawbacks, in the present study, a new human factor analysis framework called multidimensional analysis model of accident causes (MAMAC) is introduced. MAMAC combines the human factors analysis and classification system and business process management. In addition, intuitionistic fuzzy set theory and Bayesian Network are integrated into MAMAC to form a comprehensive dynamic human factors analysis model characterized by flexibility and uncertainty handling. The proposed model is tested on maritime accident scenarios from a sand carrier accident database in China to investigate the human factors involved, and the top 10 most highly contributing primary events associated with the human factors leading to sand carrier accidents are identified. According to the results of this study, direct human factors, classified as unsafe acts, are not a focus for maritime investigators and scholars. Meanwhile, unsafe preconditions and unsafe supervision are listed as the top two considerations for human factors analysis, especially for supervision failures of shipping companies and ship owners. Moreover, potential safety countermeasures for the most highly contributing human factors are proposed in this article. Finally, an application of the proposed model verifies its advantages in calculating the failure probability of accidents induced by human factors.     

PCA likelihood ratio test approach for attributed social networks monitoring

Abstract

One of the most important factors in building and changing communication mechanisms in social networks is considering features of the members of social networks. Most of the existing methods in network monitoring don’t consider effects of features in network formation mechanisms and others don’t lead to reliable results when the features abound or when there are correlations among them. In this article, we combined two methods principal component analysis (PCA) and likelihood method to monitor the underlying network model when the features of individuals abound and when some of them have high correlations with each other.     

浙江省城市绿色技术创新效率评价及影响因素分析

基于网络DEA模型和Malmquist指数模型，利用浙江省11个地级市的2011-2020年的数据，以降维后的污染指数为非期望产出对绿色技术创新效率进行测度和分析。发现:浙江各市总体上成果转化阶段的效率优于研发阶段，城市间发展差异较大；整体TFP指数均值为1.121，其提升主要源自技术进步；城镇化水平、产业结构优化、对外开放、政府干预和研发强度对绿色技术创新效率有促进作用，但经济发展水平与绿色技术创新效率的U型关系不显著。     

Spectral goodness of fit for network models

We introduce a new statistic, ‘spectral goodness of fit’ (SGOF) to measure how well a network model explains the structure of the pattern of ties in an observed network. SGOF provides a measure of fit analogous to the standard R² in linear regression. Additionally, as it takes advantage of the properties of the spectrum of the graph Laplacian, it is suitable for comparing network models of diverse functional forms, including both fitted statistical models and algorithmic generative models of networks. After introducing, defining, and providing guidance for interpreting SGOF, we illustrate the properties of the statistic with a number of examples and comparisons to existing techniques. We show that such a spectral approach to assessing model fit fills gaps left by earlier methods and can be widely applied.     

A Probabilistic Model of the Economic Risk to Britain's Railway Network from Bridge Scour During Floods

Scour (localized erosion by water) is an important risk to bridges, and hence many infrastructure networks, around the world. In Britain, scour has caused the failure of railway bridges crossing rivers in more than 50 flood events. These events have been investigated in detail, providing a data set with which we develop and test a model to quantify scour risk. The risk analysis is formulated in terms of a generic, transferrable infrastructure network risk model. For some bridge failures, the severity of the causative flood was recorded or can be reconstructed. These data are combined with the background failure rate, and records of bridges that have not failed, to construct fragility curves that quantify the failure probability conditional on the severity of a flood event. The fragility curves generated are to some extent sensitive to the way in which these data are incorporated into the statistical analysis. The new fragility analysis is tested using flood events simulated from a spatial joint probability model for extreme river flows for all river gauging sites in Britain. The combined models appear robust in comparison with historical observations of the expected number of bridge failures in a flood event. The analysis is used to estimate the probability of single or multiple bridge failures in Britain's rail network. Combined with a model for passenger journey disruption in the event of bridge failure, we calculate a system‐wide estimate for the risk of scour failures in terms of passenger journey disruptions and associated economic costs.     

Research note: The consequences of different methods for handling missing network data in stochastic actor based models

Although stochastic actor-based models (e.g., as implemented in the SIENA software program) are growing in popularity as a technique for estimating longitudinal network data, a relatively understudied issue is the consequence of missing network data for longitudinal analysis. We explore this issue in our research note by utilizing data from four schools in an existing dataset (the AddHealth dataset) over three time points, assessing the substantive consequences of using four different strategies for addressing missing network data. The results indicate that whereas some measures in such models are estimated relatively robustly regardless of the strategy chosen for addressing missing network data, some of the substantive conclusions will differ based on the missing data strategy chosen. These results have important implications for this burgeoning applied research area, implying that researchers should more carefully consider how they address missing data when estimating such models.     

再论管理研究中的关系:“关”与“系”的交互视角

在系统回顾现有关系研究文献基础之上,结合关系研究和社会网络理论,区分双边联系(即“关”)和多边网络(即“系”)两大不同视角,重新梳理文献。在此基础上,对未来关系研究如何整合“关”视角和“系”视角提出了系统性建议,尤其是构建“关”与“系”二者整体性与动态性交互的核心机制体系,提出了包括信任转让、信任转化、“佛面”效应、多重结构四大交互机制,通过阐述“关”“系”互动机制,重新解读“关系”。