Mobile gaming: Industry challenges and policy implications

Mobile games are a prime example of a successful mobile application and demonstrate the increasing range of platforms for the media and entertainment industries. Against this convergent background, this paper introduces the basic features of the mobile gaming market and its industrial ecosystem together with its main actors and activities. The focus of the paper lies in the challenges ahead for the evolution of mobile applications into a potentially dominant game platform and the possible disruptions along this road. The deep personal relationships between users and their mobile devices are considered to further explore the link between mobile games, players’ strategies and pending techno-economic developments. The paper concludes with a brief discussion of some policy options to assist with the development of this domain.     

Determinants of job satisfaction: a European comparison of self-employed and paid employees

The job satisfaction of self-employed and paid-employed workers is analyzed using the European Community Household Panel for the EU-15 covering the years 1994–2001. We distinguish between two types of job satisfaction: job satisfaction in terms of type of work and job satisfaction in terms of job security. Findings from our generalized ordered logit regressions indicate that self-employed individuals as compared to paid employees are more likely to be satisfied with their present jobs in terms of type of work and less likely to be satisfied in terms of job security. The findings also provide many insights into the determinants of the two types of job satisfaction for both self-employed and paid-employed workers.     

Combining Stated and Revealed Preferences on Typical Food Products: The Case of Dry‐Cured Ham in Spain

An extensive body of research concerns the valuation of EU certification schemes of quality based on the origin of food products. This literature focuses mainly on stated preferences (SPs) and reported behaviours by the consumers. We combine consumers’ SPs, obtained through a conjoint ranking experiment, with revealed preferences (RP), obtained through a retail scanner database. We evaluate SPs as predictors of RP, and investigate whether SPs and RPs are consistent. Dry‐cured ham in Spain is chosen as the anchor product, mainly because of its broad customer base and long history of origin certification. A ‘trick’ nested logit model with non‐identical and identical samples of consumers is estimated to answer each of the objectives. Results show that, irrespective of the analysed samples, SP can predict general market trends and choices but not accurately predict market shares, and that consumers’ actual behaviour is partly consistent with their SPs. We find that consumers prefer ham produced in Teruel, compared with unspecified Spanish origin. Quality Certification and a Distributor’s Brand are preferred over the alternatives of no quality label or identified with a brand owned by the producer. Interestingly, SPs for the Quality Certification and the distributor’s brand lead to an over‐ and under‐estimation, respectively, of the market share.     

A decade of occupational accidents due to direct or indirect electrical contact in the primary,secondary and tertiary sectors in Spain (2003–2012)

Occupational accidents caused by electrical contact are a major concern worldwide due to their severe consequences. The study conducted is based on an analysis of the evolution of incidence rates and dependence between variables for 14,022 electrical accidents occurring in Spain between 2003 and 2012. The results show that electrical accidents as a whole are 3.6 times more likely to have severe consequences than the rest of the accidents in the country. This proportion is even nine times greater in the case of fatal accidents. They also confirm a significant relationship between the severity of this type of accidents and the economic sector in which they occur. On the other hand, there is a positive trend in the reduction of the incidence rate, especially in relation to direct contact, although unexpectedly the rate of accidents due to indirect contact is on the rise. Thus, preventing electrical occupational accidents requires efforts to guarantee adequate training adapted to the needs of workers in the various economic sectors. Furthermore, those responsible for safety should work to implement mechanisms to monitor and control compliance with efficient protective measures against electrical contact.     

Banking Soundness Indicators and Sovereign Risk in Time of Crisis: The Case of the European Union

This study examines the impact of the soundness of the banking sector on sovereign risk of EU member countries during the financial crisis using a selection of financial soundness indicators (FSIs) and the sovereign ratings of the three main rating agencies. Unlike previous literature that typically focuses on the ability of FSIs to foresee banking crises, we estimate ordered response models to assess the power of these indicators to explain sovereign risk. Our results show that evaluations made by the rating agencies are related to the lagged values of core FSIs such that an improvement in these indicators leads to improvements in upcoming sovereign ratings. Hence, reinforced banking soundness would reduce the sovereign risk. Accordingly, governments, supervisors and central banks should pay close attention to the evolution of certain FSIs related to the banking sector, in addition to other variables that have traditionally been taken into account in analysing sovereign risk.     

On the informational role of term structure in the US monetary policy rule

This paper uses a structural approach based on the indirect inference principle to estimate a standard version of the new Keynesian monetary (NKM) model augmented with term structure using both revised and real-time data. The estimation results show that the term spread and policy inertia are both important determinants of the US estimated monetary policy rule whereas the persistence of shocks plays a small but significant role when revised and real-time data of output and inflation are both considered. More importantly, the relative importance of term spread and persistent shocks in the policy rule and the shock transmission mechanism drastically change when it is taken into account that real-time data are not well behaved.     

Using AI Techniques in the Grocery Industry: Identifying the Customers Most Likely to Defect

The food retailing market has reached a mature stage where companies need to be competitive if they are to survive. Customers are ever more demanding and retailers need to design and introduce new ways of learning about their customers if they are to retain them (Leeflang & Van Raaij ). This article examines the efficiency of the LAMDA classifier (Learning Algorithm Machine for Data Analysis) (Aguado ; Aguado et al. ) in identifying customer's behaviour; specifically examining which customers are most likely to defect when a new retailer appears on the scene. The study carried out in this project is based on data gathered from a Spanish grocery chain: Supermercats Pujol, SA – ‘Plus Fresc’, winner of the 1998 Global Electronic Marketing Award, www.plusfresc.es