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.     

The Power of Stakeholders' Voice: The Effects of Social Media Activism on Stock Markets

Building on social movement theory, this study assesses the influence of social media activism on the stock market performance of targeted firms. We focus on information published on Twitter by two critical stakeholders: consumer associations and trade unions. To the extent that social media represent a valid medium to mobilize stakeholders' activism, protests on Twitter may damage firm reputation, leading to capital market reactions. Using a corpus of over 1.5 million tweets referring to Spanish listed banks, we study the impact of activism by looking at targeted firms' abnormal variations in price and trading volume. Our findings suggest that the Twitter activism of key stakeholders has a significant impact on investors' decisions. Further, our empirical analyses indicate that the mechanisms affecting investors' behavior differ depending on the characteristics of the stakeholder group. Hence, this study contributes to understanding how social movements influence corporate behavior via social media. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

FROM INSTITUTIONS TO FINANCIAL DEVELOPMENT AND GROWTH: WHAT ARE THE LINKS?

This paper presents an integrated overview of the literature linking institutions, financial development, and economic growth. From the large body of research on institutional development, the paper first selects those contributions that make it possible to study the role of institutional arrangements in ameliorating/worsening the information frictions and transaction costs that characterize the development of financial markets. The paper then investigates the theoretical mechanisms by which these specific frictions affect economic growth and presents the stock of empirical evidence quantifying the impact of institutions on growth through financial development.     

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.     

Taxes and labor supply: Portugal, Europe, and the United States

I relate hours worked with taxes on consumption and labor for Portugal, France, Spain, United Kingdom and United States. From 1986 to 2001, hours per worker in Portugal decreased from 35.1 to 32.6. With the parameters for Portugal, the model predicts hours worked in 2001 with an error of only 12 min from the actual hours. Across countries, most predictions differ from the data by 1 h or less. The model is not sensible to special assumptions on the parameters. I calculate the long run effects of taxes on consumption, hours, capital and welfare for Portugal. I extend the model to discuss implications for Social Security. I discuss the steady state and the transition from a pay-as-you-go to a fully funded system.