Techno-economic evaluation of 3G and beyond mobile business alternatives

Three business case scenarios in the context of emerging mobile access network technologies and business players have been studied and the economical results are presented. The aim is to cover some of the most interesting business alternatives in providing the new 3G and beyond services including cases where the operator may have an existing second-generation cellular network or not, and a license for the 3G UMTS network or not. The scenarios have been analyzed in different Western European country groups that are not exactly representative of any defined country, but rather share typical demographic characteristics. Investments and operational expenditures are identified and the results show how diverse business models and technologies lead to different revenue, cost, and profitability profiles. The business case scenarios include incumbent’s 3G evolution with UMTS compared to an alternative 3G technology deployment with mobile WiMAX, new entrant’s UMTS deployment business case, and a greenfield CDMA450 deployment business case.     

Ethical Climates and Managerial Success in Russian Organizations

This study investigated employee perceptions of ethical climates in a sample of Russian organizations and the relationship between ethical climate and behaviors believed to characterize successful managers. A survey of managerial employees in Russia (n = 136) indicates that "rules" was the most reported and "independence" was the least reported ethical climate type. Those who perceived a strong link between success and ethical behavior report high levels of a "caring" climate and low levels of an "instrumental" climate. Implications for practitioners and researchers are discussed.     

The perceived role of ethics and social responsibility: A scale development

Marketers must first perceive ethics and social responsibility to be important before their behaviors are likely to become more ethical and reflect greater social responsibility. However, little research has been conducted concerning marketers' perceptions regarding the importance of ethics and social responsibility as components of business decisions. The purpose of this study is to develop a reliable and valid scale for measuring marketers' perceptions regarding the importance of ethics and social responsibility. The authors develop an instrument for the measurement of the perceived role of ethics and social responsibility (PRESOR). Evidence that the scale is valid is presented through the assessment of scale reliability, as well as content and predictive validity. Finally, future research needs and the value of this construct to marketing are discussed. Anusorn Singhapakdi is Associate Professor of Marketing at Old Dominion University. He received his Ph.D. in Marketing. His has published in the Journal of Macromarketing, the Journal of Business Ethics, the Business and Professional Ethics Journal, the Journal of Public Policy and Marketing, the Journal of Personal Selling and Sales Management and the Journal of the Academy of Marketing Science. He has presented papers at various professional conferences including the American Marketing Association and the Academy of Marketing Science. Scott J. Vitell is Associate Professor of Marketing and holder of the Phil B. Hardin Chair of Marketing at the University of Mississippi. He received his Ph.D. in Marketing. His work has previously appeared in the Journal of Macromarketing, the Journal of Business Ethics, Research in Marketing, the Business and Professional Ethics Journal and the Journal of the Academy of Marketing Science as well as various other journals and proceedings. Kumar C. Rallapalli is Assistant Professor of Marketing at Troy State University. His research has been published in the Journal of Business Ethics, the Journal of the Academy of Marketing Science and the Journal of Pharmaceutical Marketing and Management as well as various national and regional proceedings. His research interests include marketing ethics, health care marketing, international marketing and direct marketing. Kenneth L. Kraft is Director of Graduate Studies at the University of Tampa. He received his DBA in Management. He has published numerous articles on Business Ethics, Organization Design and Strategic Planning in Journals such as the Academy of Management Review, America Business Review and the Journal of Business Ethics. His current research interest centers on the measurement of moral intensity.     

SIMULATION-BASED PORTFOLIO OPTIMIZATION FOR LARGE PORTFOLIOS WITH TRANSACTION COSTS

We consider a portfolio optimization problem where the investor's objective is to maximize the long-term expected growth rate, in the presence of proportional transaction costs. This problem belongs to the class of stochastic control problems with singular controls , which are usually solved by computing solutions to related partial differential equations called the free-boundary Hamilton–Jacobi–Bellman (HJB) equations . The dimensionality of the HJB equals the number of stocks in the portfolio. The runtime of existing solution methods grow super-exponentially with dimension, making them unsuitable to compute optimal solutions to portfolio optimization problems with even four stocks. In this work we first present a boundary update procedure that converts the free boundary problem into a sequence of fixed boundary problems. Then by combining simulation with the boundary update procedure, we provide a computational scheme whose runtime, as shown by the numerical tests, scales polynomially in dimension. The results are compared and corroborated against existing methods that scale super-exponentially in dimension. The method presented herein enables the first ever computational solution to free-boundary problems in dimensions greater than three.     

Bill-and-Keep peering

Peering arrangements between Internet Service Providers (ISPs), in which providers agree to carry traffic originating from a peer, are common in the Internet. A common contractual peering agreement between smaller ISPs is “Bill-and-Keep”, where no money changes hands between the peers. This paper first investigates a situation when ISPs who have access to a transit ISP capable of handling their traffic for a fee, decide to peer incurring some fixed peering cost. Using a simple model it is shown that Bill-and-Keep peering is the fair and efficient outcome if the transit ISP charges for both inbound and outbound traffic and transit charges as well as costs of peering are symmetric. Next, complementarity between providers at the operational level, as measured by improvement in quality of service (QoS), is analyzed using an idealized model. Assuming that each provider incurs costs, or degradation in QoS, from its traffic traversing its own as well as the peer's links and chooses the amount of traffic to send on its peers’ links in its self-interest, the Nash equilibria of the resulting one shot game and then of an infinitely repeated game are analyzed. For the one-shot game, it is established that, while it is not possible for all the providers to be worse off, it is certainly possible for all of them to be better off. An intuitive sufficient condition for each of the providers to be better off in Nash equilibrium is then derived. Further, it is shown that providers that are better off in the one-shot game can cooperate using threat strategies in an infinitely repeated game and can each be even better off. Coalition formation between peers as a dynamic process is also investigated and some examples and conjectures on some preliminary findings are provided. Finally, the policy implications of the findings are discussed.     

The effect of birth order on schooling in India

Using large nationally representative data, I estimate the effect of birth order on educational outcomes of children in India. To establish causality, endogeneity of family size is addressed by approaching an instrumental variable method. Employing a district fixed effects model and proportion of boys in the family as the instrument for number of children, I show that later-born children attain higher education compared to earlier-born children. Results are robust to inclusion of child, parents and household characteristics.     

A Time‐series Approach to the Feldstein–Horioka Puzzle with Panel Data from the OECD Countries

This paper estimates the Feldstein–Horioka equation from 1960–2007 with a panel of 13 OECD countries with the Pedroni method. It is found that the Feldstein–Horioka puzzle exists in a weaker form. Structural break tests indicated that there was a break in the mid‐1970s or in the early 1990s. These break dates seem to capture the effects of the last decade of the Bretton Woods agreement and the early years of the Maastricht agreement. In the post‐break periods, this relationship is weaker and the saving retention coefficient has declined, implying that capital mobility has increased between these OECD countries. It is likely that these two agreements may have decreased investor uncertainty and improved capital mobility. However, this conclusion should be interpreted cautiously because alternative explanations for the observed correlation between the saving–investment ratios are possible. For example, Byrne et al. (2009) have argued that the observed correlation between investment–saving ratios could be due to common global factors and therefore may not be useful for testing whether capital mobility has decreased or increased.     

Getting the most out of all your customers

Companies spend billions of dollars on direct marketing, targeting individual customers with ever more accuracy. Yet despite the power of the myriad data-collecting and analytical tools at their disposal, they're still having trouble optimizing their direct-marketing investments. Many marketers try to minimize costs by pursuing only those customers who are cheap to find and cheap to keep. Others try to get the most customers they possibly can and keep all of them for as long as they can. But a customer need not be loyal to be highly profitable, and many loyal customers turn out to be highly unprofitable. Companies can get more out of direct marketing if they see it as a single system for generating profits than if they try to maximize performance measures at each stage of the process. This article describes a tool for doing just that. Called ARPRO (Allocating Resources for Profits), the tool is essentially a complex regression analysis that can estimate the impact of a company's direct-marketing investments on the profitability of its customer pool. With data that companies already gather, the tool can show managers how much to spend on acquisition versus retention and even what percentage of their funds they should allocate to the different direct-marketing channels. Using the model, companies can easily see that even small deviations from the optimal levels of customer profitability are expensive. Applying it to one catalog retailer showed, for instance, that a 10% reduction in marketing costs would lead to a 1.8 million dollar drop in long-term customer profits. Conversely, spending 69% less on marketing would actually increase average customer profitability at one B2B service provider by 42%. What's more, the tool can show that finding the optimal balance between investments in acquisition and retention can be more important than finding the optimum amount to invest overall.     

Kill a brand, keep a customer

Most brands don't make much money. Year after year, businesses generate 80% to 90% of their profits from less than 20% of their brands. Yet most companies tend to ignore loss-making brands, unaware of the hidden costs they incur. That's because executives believe it's easy to erase a brand; they have only to stop investing in it, they assume, and it will die a natural death. But they're wrong. When companies drop brands clumsily, they antagonize loyal customers: Research shows that seven times out of eight, when firms merge two brands, the market share of the new brand never reaches the combined share of the two original ones. It doesn't have to be that way. Smart companies use a four-step process to kill brands methodically. First, CEOs make the case for rationalization by getting groups of senior executives to conduct joint audits of the brand portfolio. These audits make the need to prune brands apparent throughout the organization. In the next stage, executives need to decide how many brands will be retained, which they do either by setting broad parameters that all brands must meet or by identifying the brands they need in order to cater to all the customer segments in their markets. Third, executives must dispose of the brands they've decided to drop, deciding in each case whether it is appropriate to merge, sell, milk, or just eliminate the brand outright. Finally, it's critical that executives invest the resources they've freed to grow the brands they've retained. Done right, dropping brands will result in a company poised for new growth from the source where it's likely to be found--its profitable brands.     

Sibling brands, multiple objectives, and response to entry: The case of the marion retail coffee market

A new brand entering a market often finds itself in competition with sibling brands (those owned by the same parent company). In a case study of a retail coffee market, the authors examine how these brand relationships might influence the sibling and competitor brands' responses to entry. Using an empirically validated brand-share attraction model, the authors compare the actual responses to entry with the optimal responses under different incumbent objectives. The authors find that the responses by sibling brand are more accommodating than those of unrelated brands whose responses are consistent with the preservation of preentry levels of sales. Thomas S. Gruca (Ph.D., University of Illinois) is a Lloyd J. and Thelma W. Palmer Research Fellow and an associate professor of marketing in the Tippie College of Business at the University of Iowa. His research on defensive marketing strategy has appeared in the International Journal of Research in Marketing, the Journal of Marketing, the Journal of Marketing Research, Marketing Management, and Marketing Science. His research on health care has appeared in Contemporary Accounting Research, Health Care Management Science, and Strategic Management Journal. He is currently working on electronic prediction markets and modeling hospital network formation. He is a member of the editorial board of Marketing Letters and a reviewer for a number of management science journals. D. Sudharshan (Ph.D., University of Pittsburgh) is a professor of business administration in the College of Commerce and Business Administration at the University of Illinois at Urbana-Champaign. His research interests lie in the areas of marketing strategy, new product and service development, and marketing technology management. He serves on the editorial boards of the Journal of Marketing and the Journal of the Academy of Marketing Science. His articles have appeared in various journals including Marketing Science, Management Science, the Journal of Marketing, the Journal of Marketing Research, the Strategic Management Journal, the European Journal of Operational Research, the Journal of Service Research, and the Journal of Market Focused Management. K. Ravi Kumar (Ph.D., Northwestern University) is a professor in the Department of Information and Operations Management, Marshall School of Business, at the University of Southern California. His current research interests include the embedding of information systems within global physical operation and the development of sustainable information technology industries in developing countries. He is the author or coauthor of articles appearing in Management Science, Marketing Science, the Journal of Economic Theory, Production and Operations Management, and the Journal of Operations Management. He serves on the advisory boards of Production and Operations Management and Technology and Operations Review.