零售企业的服装自有品牌的实施策略剖析

文章通过对零售企业自有品牌服装的分析,阐述了零售业自有品牌实施条件和营销策略,探讨了自有品牌服装在我国的发展前景。     

Using the UTAUT model to analyze user intention to accept electronic payment systems in Serbia

Portuguese Economic Journal - This study applies The Unified Theory of Acceptance and Use of Technology (UTAUT) to explain the acceptance of electronic payment systems in Serbia. We used extended...     

Markov decision processes under model uncertainty

We introduce a general framework for Markov decision problems under model uncertainty in a discrete-time infinite horizon setting. By providing a dynamic programming principle, we obtain a local-to-global paradigm, namely solving a local, that is, a one time-step robust optimization problem leads to an optimizer of the global (i.e., infinite time-steps) robust stochastic optimal control problem, as well as to a corresponding worst-case measure. Moreover, we apply this framework to portfolio optimization involving data of the . We present two different types of ambiguity sets; one is fully data-driven given by a Wasserstein-ball around the empirical measure, the second one is described by a parametric set of multivariate normal distributions, where the corresponding uncertainty sets of the parameters are estimated from the data. It turns out that in scenarios where the market is volatile or bearish, the optimal portfolio strategies from the corresponding robust optimization problem outperforms the ones without model uncertainty, showcasing the importance of taking model uncertainty into account.     

Forecasting high-frequency excess stock returns via data analytics and machine learning

Borsa Istanbul introduced data analytics to present additional information about its market conditions. We examine whether this product can be utilized via various machine learning methods to predict intraday excess returns. Accordingly, these analytics provide significant prediction ratios above 50% with ideal profit ratios that can reach up to 33%. Among all the methods considered, XGBoost (logistic regression) performs better in predicting excess returns in the long-term analysis (short-term analysis). Results provide evidence for the benefits of both the analytics and the machine learning methods and raise further discussion on the semistrong market efficiency.     

The role of satisfaction in labor diaspora dynamics: An analysis of BREXIT effects

In diaspora research, people's international mobility is often understood as a response to pull-push forces on an economic macro-level or as part of diasporic waves. However, labor diaspora formations are also influenced by micro-level (i.e., individual perceptions) drivers related to work per se, such as satisfaction. This explorative qualitative study takes a novel angle and focuses on the role of Portuguese nurses’ satisfaction with the evaluation of the Brexit scenario and its effects on this labor diaspora's mobility and stability. The findings illustrate that satisfaction, although affected by uncertainty, mainly relates to perceived working conditions and legislation and the possibilities to communicate with locals and other diasporans. This paper provides suggestions for future research and contributes to the development of theory on staying and human stickiness, explaining the dynamics of exit and entry in (re-)migration decision making.     

Emojis to conversion on social media

Emojis have become popular in online marketing communications. Marketers use emojis to humanize brand voice and elicit an emotional response from target audiences. However, little is known about how emojis are perceived and what kind of reactions they evoke. Therefore, this study aims to verify whether exposure to emojis leads to an increased intention to purchase and whether the use of emojis impacts campaign effectiveness in a real-life environment. In a theory build-up process, we draw upon the Dual Coding Theory and emotional contagion concept and develop seven hypotheses. We performed two data collection studies to test the hypothesized relations. The first study is based on a questionnaire (N = 318), while the second is based on experimental design in a real-life business environment. Surprisingly, we found that using emojis had a negative effect on purchase intention, while the effect was positive when mediated by positive affect. Emojis increased the effectiveness of marketing campaigns for hedonic products and strongly impacted the return on advertising spent. The findings of this study have both theoretical and practical implications in the observed domains, particularly about the type of products emojis are most effective in promoting, gender differences, and real-life consumer behaviour. This is the first study to use an experimental design in a real-life scenario to capture the role of emojis on campaign effectiveness and decipher the differences between genders and their perceptions of emojis. Theoretical and practical implications together with future prospects are discussed.     

The persistence of economic sentiment: a trip down memory lane

Journal of Economic Interaction and Coordination - Although various indicators of economic sentiment are often assessed in macroeconomic studies, the generating process of economic sentiment itself...     

Theoretical underpinnings of consumers’ financial capability research

This paper investigates the multidisciplinary theoretical context of financial capability and provides a critical examination of 14 relevant theoretical frameworks. To this end, the paper defines financial capability and develops a new theoretical framework of financial capability termed the personal financial management system. Financial capability is defined as the capacity of consumers to undertake comprehensive financial activities and thereby achieve personal financial well-being. The exploration of financial capability includes the concepts of financial literacy and psychological financial capability, where the latter represents automatic and controlled mental processes. Recent advances in behavioural science have profoundly changed the realm of personal finances, and it is, therefore, essential to acknowledge the importance of the intuitive reasoning that shapes our financial decision making. As part of the financial management system's throughput, together with individual motivation and opportunity within the personal financial management system, financial capability forms financial behaviour. The framework identifies three groups of relevant antecedents of financial capability including sociodemographic factors, cognitive and affective factors and personality and values. By constructing a comprehensive theoretical model, this paper contributes to the literature by providing greater consistency in the definitions of capability and its related terms, encouraging academic discussion and affirming the much-needed directions for future research.     

How Wealthy are the Rich?

Underreporting and undersampling biases in top tail wealth, although widely acknowledged, have not been statistically quantified so far, essentially because they are not readily observable. Here we exploit the functional form of power law-like regimes in top tail wealth to derive analytical expressions for these biases, and use German microdata from a popular survey and rich list to illustrate that tiny differences in non-response rates lead to tail wealth estimates that differ by an order of magnitude, in our case ranging from 1 to 9 trillion euros. Underreporting seriously compounds the problem, and we find that the estimation of totals in scale-free systems oftentimes tends to be spurious. Our findings also suggest that recent debates on the existence of scale- or type-dependence in returns to wealth are ill-posed because the available data cannot discriminate between scale- or type-dependence, on one hand, and statistical biases, on the other hand. Yet both economic theory and mathematical formalism indicate that sampling and reporting biases are more plausible explanations for the observed data than scale- or type-dependence.     

Serbia on the path to modern economic growth

Given the scanty and inadequate studies on Serbia's growth performance before the First World War, this paper presents production-side GDP estimates for Serbia for six years between 1867 and 1910. It probes into the growth dynamics, assessing convergence with the more developed countries of north-western Europe, as well as progress towards achieving modern economic growth. Although the economy showed some dynamism in terms of overall GDP, per capita GDP in pre-First World War Serbia grew by only 0.28 per cent per annum, as much of the overall GDP growth was eroded by rapid population growth. Far from converging with north-western Europe, Serbia continued to fall behind. Sluggish structural transformation and slow income per capita growth suggest that Serbia's transition to modern economic growth was in its infancy. Growth in the dominant agricultural sector was extensive, driven by expanding arable land and population growth. Land was affordable and easy to obtain; hence, peasants invested little in new technologies. Meanwhile, the modern industrial and service sectors were below a threshold that could sustain rapid growth. Nevertheless, this study also highlights the rapid expansion of a small modern sector and export diversification that reflected emergent ‘green shoots’ in 1905–10.