Ranking Journals Using Social Science Research Network Downloads

I use a new approach to rank journals, namely the number and percent frequency of articles a journal publishes that are heavily downloaded from the Social Science Research Network (SSRN). I rank 18 accounting and finance journals, and I identify five journals not considered by the two most recent major published ranking studies of publications by accounting faculty, namely (in rank order): Journal of Financial Economics, Review of Accounting Studies, Review of Quantitative Finance and Accounting, Journal of Corporate Finance, and Journal of International Financial Management and Accounting. I show that financial accounting faculties are more likely to post their working papers to SSRN, and papers posted by financial faculties generate more downloads. I mitigate this bias in favor of the financial area by providing separate rankings based on authors in the financial versus non-financial areas.     

网络组织及其惯例的形成--基于演化论的视角

本文基于演化理论，构建了一个关于网络组织形成的动态模型。利用演化博弈论研究了网络组织内成员间关系和作用机制的形成过程。认为网络组织的形成是搜寻正收益的理性个体进行自发博弈的结果．基于网络组织成员之间反复行为的历史信息的反馈，形成了网络组织层面上的惯例机制，该惯例机制表现为一种运作机制和惯性作用，维持网络组织处于某一状态。     

网络竞争与网络产业改革

本文运用博弈分析,论证了在不触动网络垄断的情况下,网络产业的纵向结构分离或开放接入会产生内在的提高下游产品或服务价格的驱动力量,从而对近年来我国网络产业下游产品或服务的价格上涨给出了新的解释。建立有管理的竞争机制,允许绕道、开放用户选择权,是网络产业实现有效竞争并使竞争惠及最终用户的可行途径。     

现代制造系统环境下的质量信息技术

企业为了确保在激烈的市场竞争中取胜，必须运用信息技术、计算机技术等先进技术提高企业质量管理的水平，增强质量保证和质量控制的有效性。现代制造技术系统CIMS的质量保证系统是在网络数据库的支持下，从产品设计、开发，到售后服务全生命周期中对质量有关的数据进行有效的采集、处理、评价和决策，对质量管理、质量保证、质量控制活动进行有效的管理，实现企业质量管理的整体优化．以达到全面满足顾客要求，提高市场竞争能力的目的。     

基于网络外部性的价值模块整合与兼容性选择

本文分析了价值模块的网络外部性特征，并基于网络外部性研究了价值模块整合过程中的兼容性选择和价格竞争行为。研究结果表明：当由进入厂商选择兼容度时，兼容性越高进入厂商的市场份额越大，并能够获得更高的市场价格；当由在位厂商选择兼容度时，兼容度增加将减少消费者的转移成本，使更多的模块需求商转向购买进入厂商的产品，减少了在位厂商的市场份额；当转移成本的兼容性敏感系数较低时，在位模块供应商能够获得更高的价格，而当转移成本对兼容性很敏感时，较高的兼容度将迫使在位模块供应商降低价格。价值模块的网络外部性加剧了模块供应商之间的竞争，进一步促进了价值模块整合和产业融合的过程。     

基于神经网络系统的项目投资风险评价探讨

与传统的评价方法不同，神经网络模型具有自学习、自组织、自适应能力等的特点，它较好的克服了传统项目评价局限性以及依赖专家经验的弊端，为项目投资风险评价开辟了新途径。论文阐述了神经网络结构与原理，分析了项目投资风险评价的神经网络模型，通过应用评价，进一步探讨其应用价值及其意义。     

基于企业基因重组理论的价值网络构建研究

全球化、信息化带来市场交易成本的急剧下降，并直接导致组织创造价值的方式发生了变化。本文借鉴企业基因和企业基因组的概念，对企业基因重组理论进行了系统地完善和整合。依此理论为基础，本文对能力要素驱动型价值网络的形成、特征和构建策略进行了深入地分析。     

Developing a Community of Practice: Michael Gaffikin and Critical Accounting Research

This paper demonstrates the role of a community of practice in academic endeavour, focusing on the influence of place and the role of thought leaders in guiding academic development. This is illustrated with reference to the influence of Emeritus Professor Michael Gaffikin in establishing a critical accounting community of practice at the University of Wollongong (UOW) through his PhD supervisions. Social network analysis (SNA) is used to visualize the 43 PhD supervisions undertaken by Gaffikin during his career, and subsequent PhD supervisions of his students, and students of those students. SNA illustrates the structure of relationships, and the paths through which scholars learnt from one another, which we combine with qualitative analysis of recollections, acknowledgments, and doctoral theses. We demonstrate the role of Gaffikin, as the intellectual thought leader, and UOW, as the intellectual place, in the development of the critical accounting community of practice. The development of critical accounting scholarship was a function of Gaffikin's intellectual and professional leadership, which he executed through PhD supervision, the annual Doctoral Consortium, and his direction at UOW. This paper highlights the importance of local communities for the development of research agendas, and the influence of PhD supervisors on the professional development of students.     

Managing and financing metropolitan public services in China: experience of the Pearl River Delta region

Under China’s current fiscal policies and inter-governmental relations, it is a significant challenge to finance and deliver public services across jurisdictions. This challenge was met in the Pearl River Delta region in southern China with a collaborative governance approach. Directives from higher-level governments and horizontal inter-city fiscal arrangements were successfully combined to deliver public services. Effective networks should be developed to improve co-ordination and collaboration in delivering cross-jurisdictional public services.     

Learning minimum variance discrete hedging directly from the market

Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging.