Value dimensions of gamification and their influence on brand loyalty and word-of-mouth: Relationships and combinations with satisfaction and brand love

This study examined the influence of different value dimensions of gamification on two important marketing outcomes, brand loyalty and word-of-mouth (WOM), using a mixed methods approach. A fuzzy-set qualitative comparative analysis (fs/QCA) is employed alongside structural equation modeling (SEM). These methods showcase nuances that contribute to the understanding of the effects of different value dimensions. Although the SEM results stress the mediating role of brand love, the fs/QCA results indicate that brand love is a core condition for brand loyalty, but it might be indifferent to obtaining positive WOM. Different paths can be sufficient to produce the outcomes of interest. The value dimensions of gamification can be substitutes, contingent on the presence of other conditions, thereby providing a novel perspective. These findings advance our knowledge of the functioning of gamification and can serve as a guide for practitioners seeking to employ gamification experiences to alter consumers' behavior.     

On the effects of human capital and R&D policies in an endogenous growth model

We introduce an external effect of existing technologies in human capital accumulation in an endogenous growth model and describe its steady-state and transition. We numerically solve the model to compare the quantitative effects of R&D policy with the quantitative effects of human capital policy in wealth and welfare. Although R&D subsidies have now an overall positive effect on growth, wealth and welfare, the calibration exercise shows that for plausible values for the parameters, human capital policy is simultaneously the most income and welfare-improving and the less expensive to the government.     

Income Inequality and Technological Adoption

We relate technological adoption (of different technologies) with income inequality. In the process, we discover that some technologies, such as aviation, cell phones, electric production, internet, telephone, and TV, are skill-complementary in raising inequality. We construct standardized indexes of skill-complementary technological adoption for modern information and communication technologies (ICT), older ICT, production and transport technologies. We find strong evidence that older ICT and transport technologies (and less frequently modern ICT) tend to increase inequality. Additionally, we discover that results are much stronger in rich countries than in poor ones. Our results are quite robust to a series of changes in specifications, estimators, samples, and measurement of technology adoption. These results may bring insights into the design of incentive schemes for technology adoption.     

Facts and distortions in an endogenous growth model with physical capital, human capital and varieties

This article studies a model with physical and human capital accumulation and varieties. The model includes several distortions: duplication effects, spillovers, creative destruction, surplus appropriability, and an erosion effect. We show that the duplication effect in R&D is essential to make the model replicate several stylized facts linked with R&D. We evaluate the distance to the optimal solution, comparing the strength of each distortion.     

Deadlines and software: disentangling local government accounting reforms in Brazil

ABSTRACT

This paper shows how ongoing accounting reforms in Brazilian local governments were affected by a shift from a universal to a gradual implementation approach. Deadlines being postponed led to a decrease in local governments’ willingness to reform. This effect varied according whether the accountants involved depended on commercial software to operate a particular accounting policy. An important finding from this research was that software providers are to some extent setting the IPSAS implementation agenda in Brazil.     

Forecasting Longevity Gains for a Population with Short Time Series Using a Structural SUTSE Model: An Application to Brazilian Annuity Plans

In this article, a multivariate structural time series model with common stochastic trends is proposed to forecast longevity gains of a population with a short time series of observed mortality rates, using the information of a related population for which longer mortality time series exist. The state space model proposed here makes use of the seemingly unrelated time series equation and applies the concepts of related series and common trends to construct a proper model to predict the future mortality rates of a population with little available information. This common trends approach works by assuming the two populations’ mortality rates are affected by common factors. Further, we show how this model can be used by insurers and pension funds to forecast mortality rates of policyholders and beneficiaries. We apply the proposed model to Brazilian annuity plans where life expectancies and their temporal evolution are predicted using the forecast longevity gains. Finally, to demonstrate how the model can be used in actuarial practice, the best estimate of the liabilities and the capital based on underwriting risk are estimated by means of Monte Carlo simulation. The idiosyncratic risk effect in the process of calculating an amount of underwriting capital is also illustrated using that simulation.     

Human Capital and Overinvestment in R&D*

We introduce a negative effect of technological development on human capital accumulation in a growth model with endogenous innovation and accumulation of human capital. This implies a negative externality of R&D in human capital accumulation. Some calibration exercises suggest that this distortion may be sufficiently strong not only to offset the usual effects of spillovers and of returns to specialization but also to induce overinvestment in R&D.     

Situational analysis beyond 'single-exit' modelling

Situational analysis (SA) is currently the method of mainstreammicroeconomics, and this paper maintains that it may also performan important role in heterodox research programmes in economics.Its most elaborate version in economics, the ‘single-exit’modelling approach, is an epistemologically driven endeavourwhich does not take full account of the way our world works.In this paper, it is argued that a fully consistent SA thatis firmly grounded on sound human ontological foundations canbe pursued if it is detached from the Rationality Principle,if closed-system modelling is abandoned, and if a retroductivemode of inference is embraced.