Innovation, embeddedness and policy: evidence from life sciences in three UK regions

This paper draws upon a survey of the life science and biotechnology regions of Oxford, Central Scotland and South West England to examine the innovation and embeddedness traits of the regions. The insights into the compositional weaknesses and strengths of the regions suggest opportunities and threats for the future development of the UK's life sciences and biotechnology. The discussion moves forward debates on biotechnology, regional innovation, regional economic development and policy by posing research questions relating to the gap of knowledge of two under-researched regions, the need for a differentiated view of regions and a public policy approach tailored towards them, as well as the prospects of 'engineering' high-tech regions. Some of the highlighted policy challenges are common to the three regions, while others are region-specific and reflect the variations of regional make-up and stage of development.     

The persistence of current and proposed measures of operating cash flow

The measurement of operating cash flow using U.S. generally accepted accounting principles (GAAP) currently requires deductions for interest and income tax payments, and prohibits deductions for capital expenditures. In contrast, the IASB and the FASB are jointly proposing a new measure of operating cash flow which prohibits deductions for interest and income tax payments, and requires deductions for capital expenditures. This study compares the persistence of the current and proposed measures of operating cash flow, and the industry-specific results indicate that there is no significant difference between the persistence of the two measures for more than three-fourths of the industries in the sample. Moreover, the Boards’ constituents are recommending the use of a subtotal of operating cash flow prior to capital expenditures, and the results of this study suggest that this subtotal is more persistent for a limited number of industries than the current measure. Overall, the results of this study suggest that the predictive ability of operating cash flow will not change significantly for most industries.     

The potential value of rapid,cloud-enabled onsite testing for the diagnosis of rheumatoid arthritis in the United States

Abstract

Aims: Improvements in information technology have granted the recent development of rapid, cloud-enabled, onsite laboratory testing for rheumatoid arthritis (RA). This study aims to quantify the value to payers of such technologies.

Materials and methods: To calculate the value of rapid, cloud-enabled, onsite laboratory testing to diagnose RA relative to traditional, centralized laboratory testing, an Excel-based decision tree model was created that simulated potential cost-savings to payers who cover routine evaluations of RA patients in the US. First, a conceptual framework was created to identify the value components of rapid, cloud-enabled onsite testing. Second, value associated with patient time savings, savings on visit fees, change in treatment costs, and QALY improvements was measured, leveraging existing literature and information from an observational study. Lastly, these value components were combined to estimate the total incremental value accruing to payers per patient-year relative to centralized laboratory testing.

Results: Rapid, cloud-enabled, onsite testing is estimated to save one office and 1.81 laboratory visits during the evaluation period for the average patient. Results from an observational study found that rapid, cloud-enabled testing increased the likelihood of completing diagnostic orders from 84.5% to 97%, resulting in an increased probability of early treatment (3.5 percentage points) with disease-modifying anti-rheumatic drugs among patients eligible for treatment. The combined total value was $5,648 per evaluated patient-year. This value is primarily attributed to health benefits of early treatment ($5,048), fewer visit payments ($459), and patient time savings due to fewer office ($216) and laboratory visits ($255).

Limitations and conclusions: Data on the impact of rapid, cloud-enabled, onsite testing on patient health, care delivery, and clinical decision-making is scarce. More robust real-world data would confirm the validity of our model. Rapid, cloud-enabled, onsite testing has the potential to generate significant value to payers.     

The Bard of Savagery: Thorstein Veblen and Modern Social Theory

The hypothesis of this paper is that a detailed history of a specific location and period is more effective for isolating the important characteristics of institutions than studies which span multiple millennia across the globe. To illustrate this hypothesis, I examine three Italian city-states in the period between eleventh and sixteenth centuries. This was a time when the "commercial revolution" was underway in these city-states. As a result, there were institutional innovations in settlement patterns, work organization, and self-governing institutions to help provide for mutual defense and for the internalization of gains from long-distance trade. I contrast this case study with the methodology and findings employed by Douglass C. North, John J. Wallis, and Barry R. Weingast (2009) in Violence and Social Orders. Rather than analyze the importance of beliefs and the protection of property rights as in prior work of theirs, the authors here focus on the "Schumpeterian competition" between impersonal organizations as an effective institutional form to control violence. Moreover, the timeframe of their book extends to "all recorded human history." In contrast to North, Wallis, and Weingast's approach, I concentrate on Genoa, Florence, and Venice in an effort to explain more effectively the emergence of the public/private divide and the relationship between politics and economics in modern industrial society. Experimentation in medieval Italy in mediating conflict between newly emerging classes, innovating in public finance to support the military, and focusing on broad civic participation in the political process had a lasting impact on the development of the state as an institution.     

WHAT HAVE WE LEARNED FROM THREE DECADES OF RESEARCH ON THE PRODUCTIVITY OF PUBLIC CAPITAL?

The last three decades have witnessed a great deal of research effort devoted to measuring the private output elasticity of public capital. The wide range of available estimates have precluded any consensus so far, however. This paper reconciles the empirical findings of the literature by quantitatively analyzing a sample of 578 estimates collected from 68 studies for the 1983–2008 period. Using meta‐regression analysis, we show how study design characteristics and publication bias can explain a large fraction of the variation across estimates. We find a short‐run output elasticity of public capital supplied at the central government level of 0.083, which increases to 0.122 in the long run. If, in addition, only core infrastructure at a regional/local level of government is considered, these estimates are almost doubled. The average output elasticity of public capital amounts to 0.106. Our results suggest that public capital is undersupplied in OECD economies.     

Information Technology Professionals’ Perceived Organizational Values and Managerial Ethics: An Empirical Study

This paper summarizes the results of an analysis of empirical data on ethical attitudes of professionals and managers in relation to organizational core values in the Information Technology (IT) industry. This study investigates the association between key organizational values as independent variables and the ethical attitudes of IT managers as dependent variables. The study also delves into differences among IT non-managerial professionals, mid-level managers, and upper-level managers in their ethical attitudes and perceptions. Research results indicated that IT professionals from mechanistic organizations were much more likely to report – compared to those from organic organizations – that managers in their corporate environment engage in behaviors considered unethical and that successful managers were more unethical relative to unsuccessful managers. There were significant differences between the upper-level managers and the mid-level managers and between the mid-level managers and the IT non-managerial professionals on certain key ethical issues. This paper discusses the conceptual framework, hypotheses, research methodology, data analysis, implications of the findings, and suggested areas of further research. K. Gregory Jin, D.B.A, is Professor of the MIS Department, Ancell School of Business, Western, Connecticut State University. He has published numerous conference papers, chapters, and articles in such areas as MIS professional ideology and ethics, communication and control, behavioral issues in information systems development, role of IT and human factors in business process reengineering, service learning in database design, systems theory, MIS participant action research strategy, and political factors in IT management. He has more than twenty years of MIS administrative and professional experiences. He holds a D.B.A. in Information Technology Management from George Washington University. He is a member of the Association of Information Technology Professionals and a former member of DSI. Ronald G. Drozdenko, Ph.D., is Professor and Chair of the Marketing Department, Ancell School of Business, Western Connecticut State University. He is also the founding Director of the Center for Business Research at the Ancell School. Dr. Drozdenko has co-directed more than 100 proprietary research projects since 1978 for the marketing and research and development departments of several corporations, including major multinationals. These projects were in the areas of strategic planning, marketing research, product development, direct marketing, and marketing database analysis. Dr. Drozdenko co-authored Optimal Database Marketing: Strategy, Development and Data Mining and also has published professional and academic articles and book chapters. He holds a Ph.D. in Experimental Psychology from the University of Missouri and is a member of the American Marketing Association, the Society for Consumer Psychology, and the Academy of Marketing Sciences. Richard A. Bassett, D.P.S, is an Associate Professor of Management Information Systems at Western Connecticut State University. He was founder and CEO of Bassett Computer Systems, Inc. for 17 years where he was involved with the design and implementation of information systems for hundreds for small and midsized businesses. He has authored several papers and articles in such areas as web-design as a web-master, web-based course design, the security threats and concerns faced by telecommuters, minimal steps required to secure a Local Area Network and the technology decision challenges which growing companies face. He is actively involved with technology endeavors of numerous nonprofit organizations including: The Children’s Center, Bridges of Milford, North Haven Rotary, Communicare, and the Amber Alert System. He holds a D.P.S. in Computing from Pace University.     

Evolutionäre Algorithmen im Marketing

Evolutionary algorithms (EA) are search heuristics, which simulate the basic principles of biological evolution and by reenacting the evolutionary mutation and selection processes, find optimum solutions in a predefined environment. In this article we examine the current state of research on EA in fields related to marketing and discuss potential applications in marketing research. Based on a bibliographic network and factor analysis, we identify nine focus areas in current research, most of which are in the operations research area. In particular, interactive EA hitherto have hardly ever been used in marketing research. In consumer surveys they can be linked to elements of classical market research in order to design products that provide consumers with maximum benefit from their viewpoint. Thanks to their model-free approach, evolutionary algorithms offer an alternative to conjoint analyses.     

Biased recommendations from biased and unbiased experts

When can you trust an expert to provide honest advice? We develop and test a recommendation game where an expert helps a decision maker choose among two actions that benefit the expert and an outside option that does not. For instance, a salesperson recommends one of two products to a customer who may instead purchase nothing. Subject behavior in a laboratory experiment is largely consistent with predictions from the cheap talk literature. For sufficient symmetry in payoffs, recommendations are persuasive in that they raise the chance that the decision maker takes one of the actions rather than the outside option. If the expert is known to have a payoff bias toward an action, such as a salesperson receiving a higher commission on one product, the decision maker partially discounts a recommendation for it and is more likely to take the outside option. If the bias is uncertain, then biased experts lie even more, whereas unbiased experts follow a political correctness strategy of pushing the opposite action so as to be more persuasive. Even when the expert is known to be unbiased, if the decision maker already favors an action the expert panders toward it, and the decision maker partially discounts the recommendation. The comparative static predictions hold with any degree of lying aversion up to pure cheap talk, and most subjects exhibit some limited lying aversion. The results highlight that the transparency of expert incentives can improve communication, but need not ensure unbiased advice.     

Endogenously chosen travel costs and the travel cost model: an application to mountain biking at Moab,Utah

The travel cost model is frequently used to estimate net willingness to pay for recreation at remote sites by using the visitor's travel costs as a proxy for the price of recreation. However, some concern has been raised over the validity of using the visitor's stated travel costs as a proxy for price. This paper addresses some of these concerns, by examining the possible over-estimation of consumer surplus due to endogenously chosen travel costs. This paper extends past theoretical work for the linear model by developing a correction for endogenously chosen travel costs in more commonly used nonlinear models such as the Poisson or count data model. Also provided is the first empirical test of the presence of endogeneity and an estimate of the magnitude of the error from ignoring endogeneity in travel costs. After applying this test and the correction to data that was gathered for mountain biking at Moab, Utah the estimate of consumer surplus falls from US $153 to US $135, which is a 12% reduction.