Razor-and-Blades pricing revisited

From razors and blades to printers and ink cartridges to smartphones and monthly usage charges to media devices and content, razor-and-blades pricing is commonplace. The argument for such a business model is compelling: entice consumers to adopt with a low initial price for the ‘razor,’ build up an installed base, and more than make up for the initial subsidy by charging a high price for replacement ‘blades.’ The problem is, many consumer enticement, customer lock-in, and competitive lock-out mechanisms look less and less tenable given modern-day developments such as the Internet, Google searches, social media, the hacker revolution, the ‘maker movement,’ rapidly improving technology, leaky supply chains, and global markets. This article characterizes the what, why, and how of razor-and-blades pricing; then examines the present-day tenability of such a pricing practice; and concludes with an impetus and a call for innovation—innovation in, perhaps, the pricing of and the purchasing arrangement for the initial razor; the value proposition from the razor and the razor-and-blades system; the architecture of the razor-and-blades system; and the delivery, especially in terms of customer experience, of value from the razor-and-blades system.     

关于民办高校绿色薪酬激励机制改革的探讨

本文以民办高校绿色薪酬制度的作用为出发点,分析民办高校绿色薪酬激励机制改革的措施。     

Leadership marketing: an exploratory study

In an era when collaboration is the key to business prosperity, the ability to develop one truly coherent and agile brand lived by its employees and delivered to external stakeholders has become extremely challenging. Unity between the internal brand and a company’s external image, when change is the only constant, has almost ceased to exist. The marketing function is frequently underemphasised at board level and its role is often devalued in leading organisational change. This paper concerns how marketing can partner with organisational leadership for a mutually beneficial exchange of skills and capabilities to be able to reinvent organisations rapidly enough to cope with shifts in the external business environment and create a sustainable future for the business. This paper explores the concept of “leadership marketing” from an interpretivist perspective which challenges the conventional view of marketing and leadership as two separate fields and offers a holistic approach for business management and brand alignment.     

金融发展地区差异对投资的影响——基于我国省域综列数据的实证研究

文章利用1995￣2004年全国28个地区的统计数据,构建了我国省域金融发展综列数据集,并运用固定效应模型对地区金融发展给地区投资带来的影响进行了实证分析。文章认为,我国地区层面的金融发展对地区投资仍然存在正向影响;地区金融发展促进投资增长呈现明显的地区差异;对外开放对各地区的投资增长有显著作用,东部略大,中部次之,西部略小;投资与经济增长之间没有明显的加速提升效应;我国金融改革的当务之急是完善金融结构的功能,改善金融体系功能低下的现状,提高投资效率。     

浅析内部审计在现代企业中的运用

随着我国现代企业制度的不断完善和发展,内部审计的作用也越来越突出,在强调企业内部审计重要的同时,也应看到内部审计应进一步适应我国现代企业制度的要求与经济监督评价的需要,从审计目标、审计范围、审计方式方法等方面不断改进发展,使内部审计真正成为现代企业发展的“良医、顾问”。     

现代公司治理结构下内部控制的建立与完善

本文论述了现代公司治理结构的完善和治理机制的顺畅在建立和完善企业内部控制中的重要作用,回顾和分析了内部控制的发展历史,论述了它在企业管理中的重要作用及其对公司治理的反作用,并对现代公司治理结构下内部控制与公司治理的协调做了一些有益探索。     

商业银行内部控制低效的成因及模式重构

我国商业银行金融风险的产生多是由内部控制低效造成,而内部控制低效又源于控制模式的不规范.因此,研究这一课题具有重要的理论价值和现实意义.为探索提高内部控制效果的有效途径,本文在分析我国商业银行内部控制低效成因的基础上,根据COSO报告和ERM的要求,构建了要素式动态控制的立体模式,并对这一模式的构成及其运行方式等进行了深入研究,为商业银行规范内部控制行为和降低金融风险提供了一种行之有效的管理手段.     

论内部审计的地位与功能

内部审计是组织内部高层次的管理与监督,具有反馈咨询、监督控制等功能。单位领导的重视和支持、审计人员素质的提高以及同外部审计的结合是强化内审功能的重要因素。     

加强高校内部控制制度的探讨

高校内部控制制度由控制环境、会计系统和控制程序所组成。加强高校内部控制制度,对于严肃财经纪律,保障学校权益和国有资产完整,有着十分重要的意义。     

Predicting credit card fraud with Sarbanes‐Oxley assessments and Fama‐French risk factors

This research developed and tested machine learning models to predict significant credit card fraud in corporate systems using Sarbanes‐Oxley (SOX) reports, news reports of breaches and Fama‐French risk factors (FF). Exploratory analysis found that SOX information predicted several types of security breaches, with the strongest performance in predicting credit card fraud. A systematic tuning of hyperparamters for a suite of machine learning models, starting with a random forest, an extremely‐randomized forest, a random grid of gradient boosting machines (GBMs), a random grid of deep neural nets, a fixed grid of general linear models where assembled into two trained stacked ensemble models optimized for F1 performance; an ensemble that contained all the models, and an ensemble containing just the best performing model from each algorithm class. Tuned GBMs performed best under all conditions. Without FF, models yielded an AUC of 99.3% and closeness of the training and validation matrices confirm that the model is robust. The most important predictors were firm specific, as would be expected, since control weaknesses vary at the firm level. Audit firm fees were the most important non‐firm‐specific predictors. Adding FF to the model rendered perfect prediction (100%) in the trained confusion matrix and AUC of 99.8%. The most important predictors of credit card fraud were the FF coefficient for the High book‐to‐market ratio Minus Low factor. The second most influential variable was the year of reporting, and third most important was the Fama‐French 3‐factor model R² – together these described most of the variance in credit card fraud occurrence. In all cases the four major SOX specific opinions rendered by auditors and the signed SOX report had little predictive influence.