Extending the enterprise evolution contextualisation model

Enterprise engineering (EE) emerged as a new discipline to encourage comprehensive and consistent enterprise design. Since EE is multidisciplinary, various researchers study enterprises from different perspectives, which resulted in a plethora of applicable literature and terminology, but without shared meaning. Previous research specifically focused on the fragmentation of knowledge for designing and aligning the information and communication technology (ICT) subsystem of the enterprise in order to support the business organisation subsystem of the enterprise. As a solution for this fragmented landscape, a business-IT alignment model (BIAM) was developed inductively from existing business-IT alignment approaches. Since most of the existing alignment frameworks addressed the alignment between the ICT subsystem and the business organisation subsystem, BIAM also focused on the alignment between these two subsystems. Yet, the emerging EE discipline intends to address a broader scope of design, evident in the existing approaches that incorporate a broader scope of design/alignment/governance. A need was identified to address the knowledge fragmentation of the EE knowledge base by adapting BIAM to an enterprise evolution contextualisation model (EECM), to contextualise a broader set of approaches, as identified by Lapalme. The main contribution of this article is the incremental development and evaluation of EECM. We also present guiding indicators/prerequisites for applying EECM as a contextualisation tool.     

COMMUNICATION ABOUT FUTURE POLICY RATES IN THEORY AND PRACTICE: A SURVEY

We discuss the theoretical rationale for central bank communication about future policy rates, either as part of inflation targeting or in the form of forward guidance. We also summarize both actual central bank communication about future policy rates and empirical evidence on the effectiveness of these types of communication. We argue that there is a disconnect between the theory and practice of forward guidance, as theory assumes commitment on the part of the central bank, while in practice central banks generally do not commit. Future theoretical research on forward guidance should therefore take the absence of commitment by central banks into account.     

Capital and labor misallocation in the Netherlands

Journal of Productivity Analysis - Using firm-level panel data we analyze the misallocation of capital and labor for the Netherlands in the period 2001–2017. We use the dispersion in marginal...     

Relevance and advantages of using the item response theory

The item response theory (IRT) also known as latent trait theory, is used for the development, evaluation and administration of standardized measurements; it is widely used in the areas of psychology and education. This theory was developed and expanded for over 50 years and has contributed to the development of measurement scales of latent traits. This paper presents the basic and fundamental concepts of this IRT and a practical example of the construction of scales is proposed to illustrate the feasibility, advantages and validity of IRT through a known measurement, the height. The results obtained with the practical application of IRT confirm its effectiveness in the evaluation of latent traits.     

The demand for organic foods in the South of Italy: A discrete choice model

This paper analyses organic food consumer’s demand that can help advising on implementing organic food policies at European level or, for a particular European country. In particular, it investigates the main factors explaining organic food demand in the South of Italy. Following the Lancaster consumer’s demand theory we assume that consumer’s utility depends on product characteristics instead of the product itself. Thus, consumers will choose the product (organic versus conventional) that possesses the combination of attributes that maximises its utility. Consumer’s choice for organic foods is analysed within the random utility discrete choice model and a bivariate probit model has been specified. The data were collected through a questionnaire conducted in the Italian region of Campania (Naples) in 2003. Findings indicate that economic factors are still factors limiting the growth of organic demand in Europe. Moreover, the consumers’ perceived benefits of organic food (environmental and health) are factors promoting organic food demand. In addition, greater information on organic food products is crucial to expand its demand in the South of Italy because this information will increase the consumer’s organic knowledge. Then, higher organic knowledge will increase the probability to buy organic foods and, to a larger extent, the level of consumption among existing consumers.     

Linking global economic dynamics to a South African-specific credit risk correlation model

In order to address practical questions in credit portfolio management it is necessary to link the cyclical or systematic components of firm credit risk with the firm's own idiosyncratic credit risk as well as the systematic credit risk component of every other exposure in the portfolio. This paper builds on the methodology proposed by Pesaran, Schuermann, and Weiner [Pesaran, M.H., Schuermann, T., and Weiner, S.M., (2004), Modeling regional interdependencies using a global error correcting macroeconometric model, Journal of Business and Economic Statistics, 22, 2, 129–169.] and supplemented by Pesaran, Schuermann, Treutler and Weiner [Pesaran, M.H., Schuermann, T., Treutler, B., and Weiner, S.M., (2006), Macroeconomic dynamics and credit risk: a global perspective, Journal of Money, Credit, and Banking, Volume 38, Number 5, August 2006, 1211–1261.] which has made a significant advance in credit risk modelling in that it avoids the use of proprietary balance sheet and distance-to-default data, focusing on credit ratings which are more freely available.In this paper a country-specific macroeconometric risk-driver engine which is compatible with and could feed into the GVAR model and framework of PSW (2004) is constructed, using vector error-correcting (VECM) techniques. This allows conditional loss estimation of a South African-specific credit portfolio but also opens the door for credit portfolio modelling on a global scale, as such a model can easily be linked to the GVAR model. The set of domestic factors is extended beyond those used in PSW (2004) in such a way that the risk-driver model is applicable for both retail and corporate credit risk. As such, the model can be applied to a total bank balance sheet, incorporating the correlation and diversification between both retail and corporate credit exposures.Assuming statistical over-identification restrictions, the results indicate that it is possible to construct a South African component for the GVAR model that can easily be integrated into the global component. From a practical application perspective the framework and model is particularly appealing since it can be used as a theoretically consistent correlation model within a South African-specific credit portfolio management tool.     

DOES POPULATION AGEING PROMOTE FASTER ECONOMIC GROWTH?

Can divergent demographic trends account for differences in per capita output across countries? We address this question by offering evidence that the process of population ageing is positively and significantly related to cross‐country economic performance. We define and estimate the effect of demographic change in two ways. First, a growing cohort of working age persons (15–64) as a share of the total population is found to have a large positive effect on GDP per capita. Second, an increase in the number of prime age persons (35–54) relative to the younger working age population (15–34) is found to have a positive but curvilinear effect with respect to per capita GDP. We find that changes in per capita GDP peak when the ratio of the prime‐to‐younger age population reaches an optimum of prime age workers for every younger aged worker. Beyond or below this optimal ratio, per capita output is lowered.     

Technical change: It should be positive and make sense!

We present the results of eight models that differ with respect to the time behavior of technical inefficiency and the presence of country heterogeneity. When taken into account, heterogeneity raises average technical change estimates, however technical progress rankings become counter-intuitive.     

Trade and business cycle synchronization in OECD countries—A re-examination

This paper re-examines the relationship between trade intensity and business cycle synchronization for 21 OECD countries in the period 1970-2003. Instead of using instrumental variables, we estimate a multivariate model including variables capturing specialization and similarity of economic policies. We confirm that trade intensity affects synchronization, but the effect is much smaller than previously reported. Other factors, like specialization and convergence in monetary and fiscal policies, have a similar impact on business cycle synchronization as trade intensity. The effect of trade on synchronization is not driven by outliers. However, the impact of trade on synchronization is not robust across deciles.