Search results

This paper seeks to adopt FRBRoo as an ontological approach to integrate heterogeneous metadata, and transform human-understandable format into machine-understandable format for semantic query.

Two cases of use with museum artefacts and literary works were exploited to illustrate how FRBRoo can be used to re-contextualize the semantics of elements and the semantic relationships embedded in those elements. The shared ontology was then RDFized and examples were explored to examine the feasibility of the proposed approach.

FRBRoo can play a role as inter lingua aligning museum and library metadata to achieve heterogeneous metadata integration and semantic query without changing either of the original approaches to fit the other.

Exploration of more diverse use cases is required to further align the different approaches of museums and libraries using FRBRoo and make revisions.

Solid evidence is provided for the use of FRBRoo in heterogeneous metadata integration and semantic query.

This is the first study to elaborate how FRBRoo can play a role as a shared ontology to integrate the heterogeneous metadata generated by museums and libraries. This paper also shows how the proposed approach is distinct from the Dublin Core format crosswalk in re-contextualizing semantic meanings and their relationships, and further provides four new sub-types for mapping description language.

The purpose of this study is to examine the propagation of consumer and business confidence in the euro area with a particular focus on the global financial crisis (GFC), the European sovereign debt crisis (ESDC) and the COVID-19-induced Great Lockdown.

The authors apply Diebold and Yilmaz’s connectedness framework and the improved method based on the time-varying parameter vector autoregressive model.

The authors find that although the evolution of business confidence marked the GFC and the ESDC the role of consumer confidence (mainly in those countries with stricter containment and closure measures) increased in the COVID-19-induced crisis.

The findings are related to the different origins of the examined crisis periods, and the analysis of their interrelationship is a very relevant topic for future research.

This paper aims at assessing the impact of a number of behavioral interventions on the willingness of informal businesses, in the Egyptian informal sector, to join the formal sector.

This paper uses an experimental methodology to examine the impact of behavioral interventions on the formalization of the Egyptian informal sector. Specifically, it conducts a survey experiment on a total of 240 informal businesses, operating in the Egyptian informal sector. The primary data collected from the survey experiment is then analyzed using a binary logistic regression to assess the impact of the behavioral primes on the probability of joining the formal market.

The empirical findings of the survey experiment indicate that the biggest obstacle facing informal businesses is finding a formal source of finance that could help them in penetrating the market. Providing informal businesses with information on funding opportunities offered by the ministry of micro, small and medium enterprises (MSME) significantly increased the probability of joining the formal sector to benefit from this opportunity.

This paper is the first to apply behavioral primes, in the form of informational cues, to the Egyptian case of informal business owners. Previous research on the use of behavioral nudges and primes has focused mainly on the western economies.

The study tests the hypothesis that following the arrival of news in the forex market, the trader/dealers demonstrate two kinds of biases which makes markets volatile: “Recurrence bias,” the belief that news which formerly led to volatility, will again generate volatility (i.e. volatility is recurring), and “Volatility Perception Bias,” the belief that increased volatility following the arrival of a news would persist.

The author uses a preliminary survey and three simulated trading game experiments involving professional foreign exchange dealers to understand these heuristic-led biases and the biases' impact on market volatility.

The paper finds evidence supporting the presence of both “Recurrence Bias” and “Volatility Perception Bias” and a statistically significant, positive impact of participant biases' on market heterogeneity.

The paper makes two important contributions: first, the use of simulated trading game experiment involving professional dealers and second, the incorporation of dealers' biases and heuristics in understanding forex volatility.

The mining process is essential in cryptocurrency networks. However, it consumes considerable electrical energy, which is undoubtedly harmful to the environment. In response, energy-conserving cryptocurrency projects with reduced energy requirements or based on renewable energies have been developed. Recently, the COVID-19 pandemic and the Russian invasion of Ukraine ignited an unprecedented upheaval in financial products, especially in cryptocurrency and energy markets. Therefore, the paper aims to explore the response of these energy-conserving cryptocurrencies to the COVID-19 pandemic and the Russia–Ukraine conflict.

This paper investigates the response of these energy-conserving cryptocurrencies to the COVID-19 pandemic and the Russia–Ukraine conflict. Their competitiveness is compared with conventional ones by analyzing their efficiency through multifractal detrended fluctuation analysis and automatic variance ratio during the COVID-19 and Russian invasion periods.

The empirical results show that all investigated energy-conserving cryptocurrencies negatively responded to the pandemic and positively reacted to the Russian invasion. On the other hand, all conventional cryptocurrencies reacted negatively to the COVID-19 pandemic and the amid-Russian attack. Besides, Bitcoin and SolarCoin were the least inefficient before the outbreak of COVID-19. Nevertheless, the Ethereum market became the most efficient after the pandemic spread. Similarly, the efficiency of Ripple was the most significant during the conflict between Russia and Ukraine. The energy crisis caused by Russia benefited the efficiency of the studied energy-conserving cryptocurrencies.

This research is of interest to investors seeking opportunities in these energy-conserving cryptocurrencies and policymakers working to implement reforms to improve their market efficiency and promote long-term financial market growth.

To the best of the authors' knowledge, the behavior of cryptocurrencies based on renewable and reduced energy during the recent conflict between Russia and Ukraine has not been explored.

This paper aims to review and highlight the gaps in the research streams of the technological acceptance model (TAM) associated with e-banking services. The introduction of TAM as a decision-making process from individual and organizational perspectives is the core purpose of this paper.

This study is based on concept-centric reviews and synthesizing of previous research. Data are extracted from a systematic literature review published from 1975 to 2021 under the preferred reporting items for systematic review and meta-analyses statement.

This review explored that theory of reasoned action and theory of planned behavior are the basic theories proceeding to TAM evolution. TAM has been extended to its three versions, which are designed and modified for different contexts and cultures. Previously, the risk-return approach, theory of trust and perceived value were the major constructs or modifications in TAM. Now, TAM has been designed for measuring customers’ perception of any technological advancement.

This review is limited to major additive constructs in modified TAM concerning e-banking services, which can be expanded to different cultures and contexts. This study sketched TAM as a decision-making model associated with the factors influencing any technological advancement. So, the proposed conceptual framework is applicable for the behavioral analysis of technological adoption from individual and organizational perspectives in any field.

This review designed a bi-dimensional conceptual model of TAM as a decision-making process for e-services that has not been identified yet in any study from organizations’ and customers’ perspectives.

The causes for the formation of a bubble in the collateral market when agents are provided with homogeneous expectations are explored. This bubbly dynamics will define a sufficient condition for deleveraging.

Theoretical approach with neutral deleveraging.

Findings of the study are defined sufficient conditions for a behavioral rational bubble's formation in a market of collateral and the subsequent deleveraging. The crowd-in effect of the representative bubble is caused by errors in extrapolating information and thus by representativeness, while the crowd-out effect of deleveraging is set off by reverting to a rational heuristic.

The limit is that it is a homogeneous expectations approach, the implication is that cannot be rational speculation.

Even in a simple model of homogeneous expectations a bubble may arise with serious effect on the demand side: models that detect just rational mispricings cannot account for behavioral components that have financial and real effects.

The paper defines how deleveraging may occur even in case of homogeneous expectations. The latter should not be seen just as a limit but also as a signal of the importance of being aware of behavioral components.

Past research suggests that whether pregnancies are wanted, unwanted, or mistimed may influence breastfeeding behavior. The purpose of this chapter is to develop a more precise understanding of this relationship. Specifically, this chapter asks three questions: first, do pregnancy intentions matter most in sustaining breastfeeding for long or for short durations postpartum; second, at what time postpartum are rates of breastfeeding discontinuation most differentiated by pregnancy intentions; and third, how does poverty (measured here by Medicaid receipt) moderate the relationship between pregnancy intentions and breastfeeding duration.

Logistic regression analysis of survey data from a national sample representative of US mothers is used to determine the relationship of pregnancy intentions to whether breastfeeding continues for various durations and through various intervals after birth. Interaction terms between pregnancy intentions and mother’s Medicaid status are used to test for relationships specific to poor or nonpoor mothers between pregnancy intentions and breastfeeding duration.

Results show that pregnancy timing matters most for sustaining breastfeeding for durations past 6 months and that differences in rates of breastfeeding discontinuation between mothers with wanted, unwanted, and mistimed pregnancies are most pronounced in the 3–7 months postpartum period. In addition, findings show that Medicaid recipients (but not nonrecipients) are less likely to exclusively breastfeed for 6 months when their pregnancies are mistimed.

The literature on fundamental causes of health disparities typically suggests that poverty impairs access to resources necessary for effective planning to achieve desirable health outcomes. This study’s results, however, show that planning of pregnancies is more critical for poor mothers to sustain exclusive breastfeeding. Further research is needed to explain this relationship. The results also suggest that policy interventions to help mothers with unplanned pregnancies to sustain breastfeeding should target the period from 3 to 7 months postpartum.

These findings can help shape policies for facilitating the continuation of breastfeeding for durations recommended by health authorities and advance our understanding of the effects of poverty on health behaviors.

Peripheral arterial disease (PAD) is an occlusive atherosclerotic disease that affects blood vessels and reduces blood flow in the lower limbs. It is estimated that around 200 million people worldwide suffered from it, with a significant number of older people affected. Walking is one of the first-line therapeutic measures for intermittent claudication (IC) in patients with PAD. Supervised Exercise Therapy (SET) programs effectively increase walking distances, however, remain an underutilized tool because they are not readily available in most clinical centres, are extremely expensive, and patient participation is low mainly due to socioeconomic constraints. Home-based Exercise Therapy (HBET) programs are an effective and low-cost alternative to improve both the functional capacity and quality of life (QoL) of patients with IC, as they are performed in the patient’s area of residence and not in the hospital. The WalkingPad program conciliated a smartphone app – the WalkingPad app – with behaviour change intervention to increase walking distances and decrease walking impairment as well to improve QoL at 6 months.

This chapter explores how preservice teachers can use videos via social media to organize their ideas and enhance their understanding of content and pedagogical practices. It exemplifies how teacher development programs must embrace and become more in tune with societal practices and norms.

The methods of data collection for this study consist of participant observation of in-class activities (descriptive field notes reconstructing dialogue and activities), an open-ended questionnaire, and a focus group interview.

Five primary themes were revealed that describe preservice teachers’ scholarly experiences using Pinterest: igniting digital serendipity, Pinterest critic in relation to their thinking, Organizing and nesting knowledge, Picky pinning researcher, and Expert distributor of knowledge.

Teacher educators should consider how participants demonstrated a sense of pride in their scholarly creations and some began displaying modest amounts of expertise and characteristics of leadership within their local community both online and in-person.