A model of collaborative innovation between local government and tourism operators

This research proposes a framework for collaborative innovation in a public private partnership by applying techniques that combine quantitative data collection and qualitative depth. It proposes a collaborative model that looks to provide competitive advantage by improving tourist services from two perspectives: from the core of public administration, and from the private tourist sector perspective.     

IPSAS in Latin America: innovation,isomorphism or rhetoric?

ABSTRACT

Over the past 30 years, many initiatives have been undertaken to reform public administration in Latin American countries. Among other aspects, the reforms seek to improve the transparency and accountability of the public sector by modernizing public accounting and budgeting systems. The adoption of accrual accounting in the public sector has been seen as an innovation and it is driven by the implementation of IPSAS. This paper sheds light on the process of reform of public financial management in Latin America and the state of implementation of IPSAS. The paper analyses the driving forces for adopting or adapting IPSAS, as well as the obstacles and challenges in doing so.     

A cost-effectiveness analysis of denosumab for the prevention of skeletal-related events in patients with multiple myeloma in the United States of America

Objective: A large, pivotal, phase 3 trial in patients with newly diagnosed multiple myeloma (MM) demonstrated that denosumab, compared with zoledronic acid, was non-inferior for the prevention of skeletal-related events (SREs), extended the observed median progression-free survival (PFS) by 10.7 months, and showed significantly less renal toxicity. The cost-effectiveness of denosumab vs zoledronic acid in MM in the US was assessed from societal and payer perspectives.

Methods: The XGEVA Global Economic Model was developed by integrating data from the phase 3 trial comparing the efficacy of denosumab with zoledronic acid for the prevention of SREs in MM. SRE rates were adjusted to reflect the real-world incidence. The model included utility decrements for SREs, administration, serious adverse events (SAEs), and disease progression. Drug, administration, SRE management, SAEs, and anti-MM treatment costs were based on data from published studies. For the societal perspective, the model additionally included SRE-related direct non-medical costs and indirect costs. The net monetary benefit (NMB) was calculated using a willingness-to-pay threshold of US$150,000. One-way deterministic and probabilistic sensitivity analyses were conducted.

Results: From a societal perspective, compared with zoledronic acid, the use of denosumab resulted in an incremental cost of US$26,329 and an incremental quality-adjusted life-year (QALY) of 0.2439, translating into a cost per QALY gained of US$107,939 and a NMB of US$10,259 in favor of denosumab. Results were sensitive to SRE rates and PFS parameters.

Limitations: Costs were estimated from multiple sources, which varied by tumor type, patient population, country, and other parameters. PFS and overall survival were extrapolated beyond the follow-up of the primary analysis using fitted parametric curves.

Conclusion: Denosumab’s efficacy in delaying or preventing SREs, potential to improve PFS, and lack of renal toxicity make it a cost-effective option for the prevention of SREs in MM compared with zoledronic acid.     

Models for individual adoption of eCommerce,eBanking and eGovernment in Spain

This paper analyzes the adoption patterns of selected internet services such as eCommerce, eBanking and eGovernment in Spain. High quality official data from the Survey on Equipment and Use of Information and Communication Technologies in Households (ICT-H) of the National Institute of Statistics are used. The dataset is a cross section of 16,209 individuals for 2016. Theoretical demand models, grounded in a standard neoclassical utility maximization framework, are adapted to these services. Logistic regression techniques allow quantifying the impact of the socioeconomic characteristics of the individual on the adoption of each service. The resulting models are statistically significant and with a high predictive power. Age, education and levels of internet and computer skills are all significant in explaining the adoption of any of the three services; as are gender and income, but just for eCommerce and eBanking. Interestingly, the level of trust in internet is only significant to explain participation in eCommerce. Finally, policy recommendations are suggested, highlighting the desirability of using specific measures for the different socio-demographic groups and income strata.     

Globalisation: Recent traits and challenges

This special issue gathers together twelve papers that revisit a range of core topics in the field of international economics. These papers were presented at the XIX Conference on International Economics (CIE) held in Vila-Real (Spain) on 28th–29th June 2018. The Conference was co-organized by researchers from the Spanish Association of International Economics and Finance (AEEFI) and the Institute of International Economics (IEI). The selected papers are stimulating pieces that shed new light on recent trends in globalization as well as some of the main challenges that need to be faced in the presence of the multiple yield curves that emerged after the credit crunch. The CIE also included two keynote lectures by Laura Alfaro (Harvard Business School) and Gabriel Quirós (IMF) as well as 64 selected contributions.     

Measuring relative non-motorized accessibility to retail activities

Accessibility planning is a crucial alternative to mobility planning for reaching sustainable outcomes. Although there is a vast literature on accessibility, less attention is paid to accessibility as a relative concept, i.e., its relationship with the socio-economic characteristic of the population. While accessibility is known to vary by location, it also changes as a consequence of differences in individual willingness to reach destinations by certain transport modes. Using the city of Zaragoza, Spain as a case study, this paper evaluates relative non-motorized accessibility (walking and cycling) to three types of retail activities: daily, weekly, and incidental. First, a clustering process is used to identify four population groups according to their socio-economic characteristics (the young employed; the young unemployed; seniors and adults). Second, distance-decay functions based on time-willingness to reach retail destinations by non-motorized modes are compared between the four clusters of population. Third, relative accessibility maps based on gravity-based models are elaborated, highlighting places that exhibit statistical differences between the population clusters. The results indicate that willingness to reach retail stores on foot by seniors (>65?years old) was significantly different from the rest of groups analyzed, providing additional insights on how relative accessibility measurements can anticipate potential social exclusion risks.     

Systematic review of declarative tactical knowledge evaluation tools based on game-play scenarios in soccer

Quality & Quantity - In the last two decades, the analysis of tactical knowledge has become a research channel of increasing interest, contributing to the development of ad-hoc tools to carry...     

Dynamic panel data models in tourism

The analysis of relations of dependency is widespread in tourism research. However, there are a series of questions related to endogeneity, such as dependence on the past and reverse causality, closely linked to the specific characteristics of the sector, which cast doubt on the conventional methods that are currently in use, especially Ordinary Least Squares. In this paper, the consideration of those questions and their analysis is proposed with the current methodology of dynamic panel data with the System GMM method. In addition, an practical application is advanced with 187 airlines to demonstrate the use of the tool. The results of dynamic panel data analysis can contribute new nuances in the field of tourism that have hardly been reflected upon until now. Here it is used to examine the complex interrelations and the dynamic components of the sector in greater depth.     

Risk aversion,innovation and performance in family firms

An analysis of the effect of family governance on the relationships among risk aversion, innovation and performance is the purpose of this study. Beyond the level of risk and innovation, we are interested in analysing the relationship between them and their influence on performance in family firms. Traditionally, risk-seeking has been associated with innovation and performance. Our results confirm both components to be independent and, furthermore, show relationships with opposite signs as expected in the literature. In a sample of 500 firms, the results confirm an idiosyncratic behaviour in family firms; innovation contributes to performance to a higher extent in family firms, and at the same time, risk aversion is positively associated with performance only in non-family firms.