Path dependencies versus efficiencies in regulation: Evidence from “old” and “new” broadband markets in the EU

This paper examines the determinants of sector-specific regulation imposed on broadband markets related both to efficiency objectives of regulators and to those of narrowly defined interest groups. We test hypotheses derived from the normative and positive theoretical literature employing recent panel data on 27 European Union member states taking into account endogeneity of the underlying regulation and market structure variables. Our empirical specification employs three different estimators based on instrumental variables in order to identify causal effects. We find evidence supporting both regulators pursuing normative objectives and inefficiencies related to regulatory path dependence, bureaucracy goals and an inadequate consideration of competition from mobile broadband networks. Our results call for adjustments in the institutional design of the decision-making process under the current European Union regulatory framework.     

Do Vendor Cues Influence Purchase Intention of Online Shoppers? An Empirical Study Using S-O-R Framework

The purpose of the current research is to understand the influence of vendor cues like brand reputation. Brand familiarity and offline presence on trust and attitude of online shoppers and consequently on online purchase intention. Data was collected through a web based survey. The findings of the study reported that vendor offline cues have a strong and positive impact on the online purchase intentions of the shoppers. Further, this study also contributed by proving that the trust has a strong relationship with purchase intention as compare to attitude.     

Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis

Sharing of fake news on social media platforms is a global concern, with research offering little insight into the motives behind such sharing. This study adopts a mixed-method approach to explore fake-news sharing behaviour. To begin with, qualitative data from 58 open-ended essays was analysed to identify six behavioural manifestations associated with sharing fake news. Thereafter, research model hypothesizing the association between these behaviours was proposed using the honeycomb framework and the third-person effect hypothesis. Age and gender were the control variables. Two data sets obtained from cross-sectional surveys with 471 and 374 social media users were utilized to test the proposed model. The study results suggest that instantaneous sharing of news for creating awareness had positive effect on sharing fake news due to lack of time and religiosity. However, authenticating news before sharing had no effect on sharing fake news due to lack of time and religiosity. The study results also suggest that social media users who engage in active corrective action are unlikely to share fake news due to lack of time. These results have significant theoretical and practical implications.     

Multicriteria framework for selecting a process modelling language

The choice of process modelling language can affect business process management (BPM) since each modelling language shows different features of a given process and may limit the ways in which a process can be described and analysed. However, choosing the appropriate modelling language for process modelling has become a difficult task because of the availability of a large number modelling languages and also due to the lack of guidelines on evaluating, and comparing languages so as to assist in selecting the most appropriate one. This paper proposes a framework for selecting a modelling language in accordance with the purposes of modelling. This framework is based on the semiotic quality framework (SEQUAL) for evaluating process modelling languages and a multicriteria decision aid (MCDA) approach in order to select the most appropriate language for BPM. This study does not attempt to set out new forms of assessment and evaluation criteria, but does attempt to demonstrate how two existing approaches can be combined so as to solve the problem of selection of modelling language. The framework is described in this paper and then demonstrated by means of an example. Finally, the advantages and disadvantages of using SEQUAL and MCDA in an integrated manner are discussed.     

基于MTOI的产业自主创新分析框架

提高产业自主创新能力是加快转变经济增长方式的迫切需要,是推动产业结构优化升级的迫切需要,是增强我国综合国力和竞争力的迫切需要,也是应对金融危机的迫切需要。本文综合利用创新理论、制度理论、产业组织理论,从系统论的角度,对产业自主创新中的重要因素进行了分析,并构建了融合“市场-技术-组织-制度”于一体的产业自主创新分析框架。     

职业CFO的能力框架与工作视点

CFO在公司治理中,占有一个非常特殊、无以取代的地位,在设计和实施企业战略方面发挥着十分重要的作用。文章分析了基于公司治理的CFO多重制衡关系,构建了职业CFO的能力框架与工作视点。文章认为,职业化是实现CFO社会功能的必备条件。     

西方关于负债与公司价值关系的研究综述

本文在委托代理和不对称信息理论分析框架中综述了西方关于负债、债务期限结构和债务所 有者结构与公司价值关系的研究,在此基础上提出了负债价值效应悖论,最后基于投资机会集考察了负债 与公司价值之间的关系。     

泡沫理论分析框架与中国房地产相关实证

泡沫是一种资产价格急剧波动的经济现象,其理论分析框架可用"一三四"原则来概括,即抓住价格这一中心,分析价格是否急剧上涨,是否暴跌,从而是否导致金融或经济危机三个环节,把握宏观经济环境、投机状况、金融支持和政府调控政策四个因素.按照上述框架或范式实证分析,得出结论:中国房地产不存在全局性泡沫,亦即房价上涨,房价收入比高不一定就是泡沫.     

基于COBIT的信息系统审计框架研究

随着信息系统的迅速发展和广泛应用,信息系统审计作为一门新兴的交叉学科而受到较多关注。我国信息系统审计缺乏对规范体系的理论研究,而国际上多个审计组织已提出COBIT、GTAG、GAIT、FISCAM、ITIL、BS7799、COSO等一系列与信息系统审计相关的国际准则与指南。结合我国信息系统审计的特点和国际准则的先进思想而构建的基于COBIT的信息系统审计框架以信息系统控制目标为核心,分为面向系统的信息系统审计和面向数据的信息系统审计两大范畴。     

节水型社会建设试点后评价研究

节水型社会建设试点后评价对于总结试点经验、全面推进节水型社会建设具有重要的作用。综述了节水型社会建设试点后评价方法,以湖北省襄樊市为例,分别利用逻辑框架法和指标评价法对节水型社会建设试点进行了后评价。评价结果表明,通过2年多节水型社会试点建设,用水效率不断提高,生态环境得到改善,公众节水意识不断增强,实现了水资源可持续利用支撑襄樊经济社会平稳较快发展的预期目标。但资金投入没有完全到位,管理机构改革涉及面广,后期还有大量的工作要做。