The impact of national culture on integrated reporting quality. A stakeholder theory approach

Integrated reporting (IR) is a new corporate‐reporting system that aims to represent the firm's value creation in the short, medium, and long term. In contrast to other disclosure systems focusing on non‐financial dimensions, including social and environmental aspects, IR is characterized by information connectivity. In recent years, integrated reporting has received increasing interest, both academic and professional. However, report quality is still a critical aspect of IR. Although several studies investigate IR, few focus on quality and its determinants. This study aims to fill this gap by investigating the impact of national culture, an external determinant, from a stakeholder theory perspective. The results show that IR quality is related to five dimensions of Hofstede—power distance, individualism, masculinity, and indulgence negatively and uncertainty avoidance positively. This study contributes to the relevant literature by analysing an additional factor that influences the quality of corporate reports, namely, national culture. This is the first study that investigates national culture as a determinant of integrated‐reporting quality.     

Multinational experience and the creation of linkages with local firms: evidence from the electronics industry

This paper focuses on multinational companies' creation of linkageswith local firms in the electronics industry. Evidence is drawnfrom a novel data-set, covering international operations ofthe top European and US electronics companies, over the period1984–95. Econometric tests are provided to highlight howfirms' multinational experience, measured by the extent of theirpresence in foreign countries, affects cooperative agreements,as opposed to licensing and foreign direct investments. It ishighlighted that multinationals' subsidiary accumulation hasa positive and significant impact on collaborative linkageswith local firms. This contrasts with the transaction cost viewunderlying most market-entry literature, but is consistent witha dynamic efficiency perspective which emphasises the role oflinkages in learning and knowledge accumulation and exploitation.     

Combining Time Variation and Mixed Frequencies: an Analysis of Government Spending Multipliers in Italy

In this paper, we propose a time‐varying parameter vector autoregression (VAR) model with stochastic volatility which allows for estimation on data sampled at different frequencies. Our contribution is twofold. First, we extend the methodology developed by Cogley and Sargent (Drifts and volatilities: monetary policies and outcomes in the post WWII U.S. Review of Economic Studies 2005; 8 : 262–302) and Primiceri (Time varying structural vector autoregressions and monetary policy. Review of Economic Studies 2005; 72 : 821–852) to a mixed‐frequency setting. In particular, our approach allows for the inclusion of two different categories of variables (high‐frequency and low‐frequency) into the same time‐varying model. Second, we use this model to study the macroeconomic effects of government spending shocks in Italy over the 1988:Q4–2013:Q3 period. Italy—as well as most other euro area economies—is characterized by short quarterly time series for fiscal variables, whereas annual data are generally available for a longer sample before 1999. Our results show that the proposed time‐varying mixed‐frequency model improves on the performance of a simple linear interpolation model in generating the true path of the missing observations. Second, our empirical analysis suggests that government spending shocks tend to have positive effects on output in Italy. The fiscal multiplier, which is maximized at the 1‐year horizon, follows a U‐shape over the sample considered: it peaks at around 1.5 at the beginning of the sample; it then stabilizes between 0.8 and 0.9 from the mid 1990s to the late 2000s, before rising again to above unity during the recent crisis. Copyright © 2015 John Wiley & Sons, Ltd.     

Location choices of multinational firms in Europe: The role of EU cohesion policy

Using data on 5509 foreign subsidiaries established in 50 regions of 8 EU countries over the period 1991-1999, we estimate a mixed logit model of the location choice of multinational firms in Europe. In particular, we focus on the role of EU Cohesion Policy in attracting foreign investors from both within and outside Europe. We find that, after controlling for the role of agglomeration economies as well as a number of other regional and country characteristics and allowing for a very flexible correlation pattern among choices, Structural and Cohesion funds allocated by the EU to laggard regions have indeed contributed to attracting multinationals. These policies as well as other determinants play a different role in the case of European investors as opposed to non-European ones.     

Exploiting and creating knowledge through customer–supplier relationships: lessons from a case study

Through an in-depth analysis of a customer–supplier relationship in the information technology market, we illustrate the complexities of vertical coordination processes. We focus on the strategic and organizational criteria that suppliers and customers must design in order to favour interaction between their heterogeneous competencies. In the examined case, the supplier provides general purpose knowledge to be utilized and enriched through the contact with, and fertilization by, application abilities available at the customer level.     

Distribution conventionality in the movie sector: an econometric analysis of cinema supply

This paper empirically analyzes the impact of several factors on a ‘conventionality index (CI)’ in the specific context of the cinema exhibition sector. To our knowledge, it is the first time that a standard CI has been constructed for this purpose. Econometric analysis of the determinants of variation in this index provides decision‐makers with an empirical focus for analyzing distributional aspects of the movie exhibition market, with particular emphasis on product differentiation. Specifically, (i) do cinemas based in a city area have a different or ‘specialized’ focus in contrast to cinemas in small towns? or (ii) do multiplexes have a different or more specialized focus in comparison with cinemas? To this end, cross‐sectional econometric models are estimated to help analyze these effects in three Italian regions for a sample of cinemas covering the 2006 season. Copyright © 2009 John Wiley & Sons, Ltd.     

Bidders' and Sellers' Strategies in Sequential Auctions. New Evidence about the Afternoon Effect

Using dynamic panel data econometric techniques, we analyzethe price structure of sequential auctions of modern and contemporary art that took place inItaly during the period 1983–1996. Contrary to previous empirical studies, we do not find anyafternoon effect, or decline of auction prices relative to estimated values. Taking intoconsideration the structure of the auctions and the dynamic nature of price determination, we proposean interpretation of the empirical results that encompasses previous contributions.     

Mixed Hidden Markov Models for Longitudinal Data: An Overview

In this paper we review statistical methods which combine hidden Markov models (HMMs) and random effects models in a longitudinal setting, leading to the class of so‐called mixed HMMs. This class of models has several interesting features. It deals with the dependence of a response variable on covariates, serial dependence, and unobserved heterogeneity in an HMM framework. It exploits the properties of HMMs, such as the relatively simple dependence structure and the efficient computational procedure, and allows one to handle a variety of real‐world time‐dependent data. We give details of the Expectation‐Maximization algorithm for computing the maximum likelihood estimates of model parameters and we illustrate the method with two real applications describing the relationship between patent counts and research and development expenditures, and between stock and market returns via the Capital Asset Pricing Model.     

Customer satisfaction evaluation by common component and specific weight analysis using a mixed coding system

Quality & Quantity - The Servqual model (Parasuraman et al. in J Mark 49(4):41–50, 1985; J Retail 64:12–40, 1988) involves a set of five dimensions ranked as the most important for...