A Bayesian mixed logit–probit model for multinomial choice

In this paper, we introduce a new flexible mixed model for multinomial discrete choice where the key individual- and alternative-specific parameters of interest are allowed to follow an assumption-free nonparametric density specification, while other alternative-specific coefficients are assumed to be drawn from a multivariate Normal distribution, which eliminates the independence of irrelevant alternatives assumption at the individual level. A hierarchical specification of our model allows us to break down a complex data structure into a set of submodels with the desired features that are naturally assembled in the original system. We estimate the model, using a Bayesian Markov Chain Monte Carlo technique with a multivariate Dirichlet Process (DP) prior on the coefficients with nonparametrically estimated density. We employ a “latent class” sampling algorithm, which is applicable to a general class of models, including non-conjugate DP base priors. The model is applied to supermarket choices of a panel of Houston households whose shopping behavior was observed over a 24-month period in years 2004–2005. We estimate the nonparametric density of two key variables of interest: the price of a basket of goods based on scanner data, and driving distance to the supermarket based on their respective locations. Our semi-parametric approach allows us to identify a complex multi-modal preference distribution, which distinguishes between inframarginal consumers and consumers who strongly value either lower prices or shopping convenience.     

What model for entry in first-price auctions? A nonparametric approach

We develop a selective entry model for first-price auctions that nests two polar models often estimated in the empirical literature on auctions, Levin and Smith (1994), and Samuelson (1985). The selective entry model features a pro-competitive selection effect. The selection effect is shown to be nonparametrically identifiable, and a nonparametric test for its presence is proposed. This test can be used to discriminate between the two polar models.     

The importance of design for firms׳ competitiveness: A review of the literature

Scholars dedicated increasing attention towards appreciating how design has changed individuals? perception of new products, firms? understanding and formulation of strategy, or other relevant actors? approach to innovation and technology management. By emphasising the importance of design for the definition of consumers? needs, the restructuring of firms? organisational structures and strategies, and the evolution of firms? value creation processes, this review paper identifies relevant research gaps and questions that would benefit from future scholarly attention. In particular, it is suggested that such effort should address the analysis of how design consumption can help better comprehend consumers? needs; what are the implications of design thinking on the skill sets of design professionals; the organisational structure of firms, including the reconfiguration of other business functions, and their strategy; and whether and how design thinking can shape firms? value creation processes and contribute to the formalisation of design tasks.     

Dini derivatives in optimization — Part II

This paper, published in two parts, is mainly concerned with general properties of Dini derivatives of functions of one and several variables and with some applications of this topic to the study of generalized convexity and generalized optimality conditions for mathematical programming problems.In part I the basic definitions and properties are given, with reference both to functions of one real variable and to functions of several real variables. In this part special attention is given to the restatement of the basic theorems of the classical analysis to nondifferentiable functions, in terms of Dini derivatives.In part II we use these derivatives in order to define some classes of nondifferentiable generalized convex functions and the class of generalized upper quasidifferentiable functions. This part concludes with the development of optimality conditions for a nonsmooth programming problem, expressed in terms of the tools prevously introduced.

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Riassunto presente lavoro, pubblicato in due parti, riguarda le principali proprietà dei numeri derivati di Dini (o derivate direzioni di Dini), sia di funzioni di una variabile che di più variabili, nonché alcune loro applicazioni allo studio della convessità generalizzata ed a problemi di ottimizzazione vincolata.Nella prima parte del lavoro si formiscono le definizioni e le proprietà fondamentali dei numeri derivati di Dini e vengono riformulati alcuni classici teoremi dell'analisi, con riferimento a funzioni non differenziabili.Nella seconda parte tali derivate direzionali vengono applicate nello studio di alcune classi di funzioni convesse generalizzate non differenziabili e nell'ottenimento di condizioni di ottimalità per problemi (non differenziabili) di programmazione matematica.

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This research was supported by the Italian Ministry of University and Scientific Research and by the National Science Foundation of the Hungarian Academy of Sciences and Arts (grant OTKA 354/86). The authors have shared their work as follows: Chapters 1 and 3 are attributed to the first author, whereas Chapters 2 and 4 are attributed to the second author. The Introduction and Chapter 5 is common.     

A more ideal system?

“Although American higher education can justifiably take pride in its capacity to develop the student's ability to manipulate the material world through its programs in science, medicine, technology, and commerce, it has paid relatively little attention to the student's “inner” development—the sphere of values and beliefs, emotional maturity, moral development, spirituality, and self‐understanding.” —from the Foreword to Encouraging Authenticity and Spirituality in Higher Education by Alexander W. Astin and Helen S. Astin     

A DEA-centric decision support system for evaluating Ciclovía-Recreativa programs in the Americas

Ciclovía-Recreativa (CR) is a community-based program with health and social benefits including physical activity promotion, social capital development, improvement in the population's quality of life, and reduction of air pollution and street noise. It is critical that these programs are evaluated through their operational performance and efficient use of resources. In this paper, we develop a DEA methodology that measures each CR efficiency relative to its peer programs, compares its performance to a benchmark system, identifies its sources of inefficiencies and offers recommendations for improvement. We examine the proposed methodology on programs in the region of the Americas as a case study and demonstrate the results and the recommendations. Finally, we present a spreadsheet-based DEA-centric Decision Support System (DSS) that facilitates the evaluation of the CR programs. Based on this study, an award called “Bicis de Calidad” (in English “Bikes of Quality”) was created to be granted to the best CR programs reaching full efficiency according to the DEA outcomes.     

Which model of technology transfer for nanotechnology? A comparison with biotech and microelectronics

Nanotechnologies are often presented as breakthrough innovations, where technology transfer and knowledge-bridging will play a pivotal role in the industrial dynamics. This article investigates the model of knowledge transfer in the nanotechnologies in depth, by comparing it with the models of two recently emerged technologies: biotech and microelectronics. Our results show that the nanotechnology transfer model is very different from that involved in biotechnology evolution: while small–medium firms play a valuable technology-bringing role, the central function of “translating” new knowledge between public research and industry is carried by the larger firms, just as it was in the early stages of the microelectronics sector. These results suggest that specific policy initiatives to facilitate biotech's transfer are inappropriate to boost the diffusion of nanotechnology.     

A novel LASSO – TLBO – SVR hybrid model for an efficient portfolio construction

In this study a LASSO – TLBO – SVR hybrid model is used for portfolio construction. Relevant economic parameters are determined and used for stock selection. Along with stock selection, weights for the stocks are obtained by solving a portfolio optimization problem using three methods: GRG Nonlinear, Evolutionary method based on Genetic Algorithm, and Equal weight method. The portfolio return in the proposed model is compared with the return of the Indian market portfolio (NSE and BSE). It is observed that the proposed model outperforms the market portfolio.     

Informativeness of experiments for MEU—A recursive definition

The well-known Blackwell theorem states the equivalence of statistical informativeness and economic valuableness. Çelen (2012) generalizes this theorem, which is well-known for subjective expected utility (seu), to maxmin expected utility (meu) preferences. We demonstrate that the underlying definition of the value of information used in Çelen (2012) is in contradiction with the principle of recursively defined utility. As a consequence, Çelen’s framework features dynamic inconsistency. Our main contribution consists in the definition of a value of information for meupreferences that is compatible with recursive utility and thus respects dynamic consistency.     

Is Leadership in Creativity and Innovative Technology the Cure for Quality Affordable Healthcare?

Disruptive innovation is necessary in healthcare if we are to solve America's healthcare crisis. Patients need access to high quality, convenient, cost‐effective healthcare. Industry leadership and the government together need to facilitate the transformation of the healthcare industry through innovative multidisciplinary models that will improve health outcomes, decrease costs, and improve access to care. Such a transformation can be realized by embracing the concept of precision medicine, where outcomes are managed and government facilities advancements through effective regulation.     

Writing the future： A theoretical justification for a uniform and universal system of currency in accounting for inflation

This paper submits that the advantages gained by introducing a single currency at the domestic level, applies equally to the economy at the global level. The advantages gained are （1） a reduction of the inflation rate to one common rate （if required） amongst all states, （2） a possible reduced interest rate, （3） an expansion in investment, （4） an increase in development and trade due to the removal of uncertainty, （5） the reduction in transaction costs, and （6） the reduction in the cost of capital （Moshirian, 2004, p. 306）. A single global currency has immediate implications in accounting for inflation as it presents an opportunity for the permanent removal of problems associated with accounting for inflation. This paper addresses the phenomenon of inflation and how accounting measurement and valuation associated with inflation is removed by the introduction of a single global currency.     

Is tax progression really good for employment? A model with endogenous hours of work

This paper discusses the effect of tax progression on wage setting and employment in a unionised labour market. Recent contributions to this field argue that tax progression paradoxically enhances employment if wage setting is subject to collective bargaining. In this literature, individual hours of work are usually assumed to be exogenously given. We show that the positive employment effect of tax progression can be generalized to a model with a positive labour supply elasticity of individual workers. However, the wage-moderating effect of tax progression does not unambiguously carry over to a world where the union may fix both wages and individual hours of work. In this framework, the union reacts to tax progression by cutting individual working time. The wage rate, however, may decrease or increase. If the wage rate increases, the number of employed workers may decline despite the reduction in hours of work.     

What is required for greener supplier selection? A literature review and conceptual model development

This paper examines the existing literature on green supplier selection. In total, 60 articles are reviewed, all published in peer-reviewed journals between 1991 and 2011. The articles are analyzed in terms of several general variables such as type of research and theoretical viewpoint, as well as more specific variables such as the supply chain position considered, stages of the supplier selection process studied, and the perspective taken on environmental criteria. The main findings are threefold. First, analytical research, focusing on developing normative decision models for the final stage in green supplier selection is clearly most dominant, employing a wide range of techniques. Second, empirical research is less prominent and generally lacks a clear theoretical background. Third, very little conceptual research has been done linking green supplier selection to an organization's strategy. Research on green supplier selection is highly fragmented and in danger of overemphasizing the technical aspects of supplier selection. Based on this review of the articles, a conceptual model of green supplier selection is presented, aimed at integrating the different dimensions of green supplier selection and identifying directions for future research.     

Predator–prey model for stock market fluctuations

Journal of Economic Interaction and Coordination - We present a dynamical model for the price evolution of financial assets. The model is based on a two-level approach: In the first stage, one...     

A hybrid machine learning model for forecasting a billing period’s peak electric load days

Many models have been studied for forecasting the peak electric load, but studies focusing on forecasting peak electric load days for a billing period are scarce. This focus is highly relevant to consumers, as their electricity costs are determined based not only on total consumption, but also on the peak load required during a period. Forecasting these peak days accurately allows demand response actions to be planned and executed efficiently in order to mitigate these peaks and their associated costs. We propose a hybrid model based on ARIMA, logistic regression and artificial neural networks models. This hybrid model evaluates the individual results of these statistical and machine learning models in order to forecast whether a given day will be a peak load day for the billing period. The proposed model predicted 70% (40/57) of actual peak load days accurately and revealed potential savings of approximately USD $80,000 for an American university during a one-year testing period.     

Are we ‘sharing’ or ‘gig-ing’? A classification system for online platforms

There is a growing debate about the nature and extent of platform control over workers. Companies claim they are merely ‘matchmakers’ while labour advocates argue that these organisations exercise granular control over workers. Blending the fields of information science and labour relations, this article develops a classification system of sequential control to delineate between ‘high control’ and ‘low control’ platforms. In doing so, this article provides a theoretical method to distinguish ‘sharing’ versus ‘gig’ platforms and argues that worker autonomy—how platforms foreclose worker choice—can be used to understand platform control.     

A collaborative evolutionary model: the self-organizing evolutionary process of urban–rural digital sharing system of social public resources

Journal of Economic Interaction and Coordination - Urban–rural digital sharing of social public resources (SPR) is related to the balanced allocation and efficient utilization of public...     

Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey-decision-making trial and evaluation laboratory-based approach

With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long-term relationship with their supply chain partners through sustainable collaboration. Among these, the supplier–manufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision-making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision-makers. Further, a grey-based decision-making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI ‘Information disclosure’ has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier–manufacturer relationship and achieving organizational and market competence.     

A Letter for Readers

Dear Readers, It is a great honor to inform you that we （Journal of Modern Accounting and Auditing, ISSN 1548-6583, USA） have signed cooperation agreements with EBSCO Information Services and OCLC Online Computer Library Center, Inc. Meanwhile, our journal is in VIP Information＇s database of social scientific periodicals, and we are working on the project of pushing our jouruals into them. We shall make your papers more convenient and effective to be searched on web and provide you higher quality services in the future.     

A model of Russia's “virtual economy”

The Russian Economy has evolved into a hybrid form, a partially monetized quasi-market system that has been called the virtual economy. In the virtual economy, barter and non-monetary transactions play a key role in transferring value from productive activities to the loss-making sectors of the economy. We show how this transfer takes place, and how it can be consistent with the incentives of economic agents. We analyze a simple partial-equilibrium model of the virtual economy, and show how it might prove an obstacle to industrial restructuring and hence marketizing transition.