Behavioral economics: implications for regulatory behavior

Behavioral economics (BE) examines the implications for decision-making when actors suffer from biases documented in the psychological literature. This article considers how such biases affect regulatory decisions. The article posits a simple model of a regulator who serves as an agent to a political overseer. The regulator chooses a policy that accounts for the rewards she receives from the political overseer—whose optimal policy is assumed to maximize short-run outputs that garner political support, rather than long-term welfare outcomes—and the weight the regulator puts on the optimal long run policy. Flawed heuristics and myopia are likely to lead regulators to adopt policies closer to the preferences of political overseers than they would otherwise. The incentive structure for regulators is likely to reward those who adopt politically expedient policies, either intentionally (due to a desire to please the political overseer) or accidentally (due to bounded rationality). The article urges that careful thought be given to calls for greater state intervention, especially when those calls seek to correct firm biases. The article proposes measures that focus rewards to regulators on outcomes rather than outputs as a way to help ameliorate regulatory biases.     

A multiplicative model for efficiency analysis

This paper develops theory and algorithms for a “multiplicative” Data Envelopment Analysis (DEA) model employing virtual outputs and inputs as does the CCR ratio method for efficiency analysis. The frontier production function results here are of piecewise log-linear rather than piecewise linear form.     

The Multiplicity of Performance Management Systems: Heterogeneity in Multinational Corporations and Management Sense‐Making

This field study examines the workings of multiple performance measurement systems (PMSs) used within and between a division and Headquarters (HQ) of a large European corporation. We explore how multiple PMSs arose within the multinational corporation. We first provide a first‐order analysis which explains how managers make sense of the multiplicity and show how an organization's PMSs may be subject to competing processes for control that result in varied systems, all seemingly functioning, but with different rationales and effects. We then provide a second‐order analysis based on a sense‐making perspective that highlights the importance of retrospective understandings of the organization's history and the importance of various legitimacy expectations to different parts of the multinational. Finally, we emphasize the role of social skill in sense‐making that enables the persistence of multiple systems and the absence of overt tensions and conflict within organizations.     

A response to the critiques of DEA by Dmitruk and Koshevoy, and Bol

We here critique the articles by Dmitruk & Koshevoy (1991, J Econ Theory 55:121–144) and by Bol (1986, J Econ Theory 38:380–385) by showing how to solve the examples they erected to show the non-existence of functions for evaluating performance efficiencies in DEA. We also show that functions satisfying these criteria—and other important criteria as well—were already available prior to the publications of D&K and by Bol and have since been greatly extended to increase the power and scope of DEA.

Network science: A Review Focused on Tourism

This paper presents a review of the methods of the science of networks with an application to the field of tourism studies. The basic definitions and computational techniques are described and a case study (Elba, Italy) used to illustrate the effect of network typology on information diffusion. A static structural characterization of the network formed by destination stakeholders is derived from stakeholder interviews and website link analysis. This is followed by a dynamic analysis of the information diffusion process within the case destination demonstrating that stakeholder cohesion and adaptive capacity have a positive effect on information diffusion. The outcomes and the implications of this analysis for improving destination management are discussed.     

Chance Constrained Programming Formulations for Stochastic Characterizations of Efficiency and Dominance in DEA

Pareto-Koopmans efficiency in Data Envelopment Analysis (DEA) is extended to stochastic inputs and outputs via probabilistic input-output vector comparisons in a given empirical production (possibility) set. In contrast to other approaches which have used Chance Constrained Programming formulations in DEA, the emphasis here is on joint chance constraints. An assumption of arbitrary but known probability distributions leads to the P-Model of chance constrained programming. A necessary condition for a DMU to be stochastically efficient and a sufficient condition for a DMU to be non-stochastically efficient are provided. Deterministic equivalents using the zero order decision rules of chance constrained programming and multivariate normal distributions take the form of an extended version of the additive model of DEA. Contacts are also maintained with all of the other presently available deterministic DEA models in the form of easily identified extensions which can be used to formalize the treatment of efficiency when stochastic elements are present.     

The dynamics of responder behavior in ultimatum games: a meta-study

Using data aggregated from seven papers that study repeated play in standard ultimatum games with either stranger or absolute stranger matching, we show that the behavior of responders changes with experience. High offers are more likely to be accepted with experience and low offers are more likely to be rejected. At the individual level, there is a negative relationship between the likelihood that a given offer is accepted and the size of the preceding offer. We compare the results with predictions generated by static models of distributional preferences, implicitly dynamic models of preferences with reciprocity, and explicitly dynamic models of adaptive learning. The data is most consistent with models of preferences with reciprocity.     

Performance typologies of new product projects

New product success is a vital but elusive goal for many firms. The last two decades have witnessed numerous studies into new product successes and failures in an attempt to uncover what makes a winner. Indeed, myriad characteristics, factors, and practices have been found that appear to discriminate between successful and unsuccessful new products.With few exceptions, much of this research has tended to view new product performance on a unidimensional continuum, usually financial performance (e.g., profitability). Whereas immediate profitability is no doubt an admirable goal, there are other ways of looking at a new product's performance—for example, degree of technical success, time-to-market, and its overall impact on the company.The current investigation takes a broader view of new product success. A number of measures of new product performance were captured, rather than just the single measure continuum; this resulted in a performance map with two major and quite independent underlying dimensions of performance. A typology of performance was then developed—a classification of new product projects by how well they performed: five scenarios or clusters of projects are identified on this map, each with its unique performance characteristics. We then investigate in detail each project type and probe what drives the performances of these five different clusters of projects: that is, what makes for new product success of these five project types, when success is measured in different ways. The study was undertaken in world class multinationals in the chemical industry in four countries, but its results appear to have validity across a broad spectrum of industry.     

Tourism and the Australian economy

Consideration of the economic significance of tourism requires synthesis of a discrete tourism ‘industry’ from selected sectors of the economy and identification of its component activities which may then be used to relate expenditure by tourists, sectorally and spatially, to other elements in the economy. This approach is applied to create a profile of the Australian tourism industry at a national level and shows that tourism contributes a significant proportion to GDP and employs at least 3% of the labour force. This is comparable with the UK and other developed countries.