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The purpose of this paper is to investigate how referral reward programs (RRPs) utilizing scarcity messages influence bank credit holders’ referrals to and adoptions by close or distant friends.

A 2×2 experiment is implemented with 760 consumers solicited through Amazon’s Mechanical Turk worker panel. Logit transformation and general linear models are used to test the proposed hypotheses.

Results showed that offering RRPs with limited available referrals (quantity scarcity) increases the overall number of referrals to and adoptions by close and distant friends. The percent of strong ties also increases with RRPs. As quantity scarcity is relaxed, the percentages of referrals to and adoptions by close friends decrease.

The inclusion of tie strength with scarcity framing greatly enhances our understanding of the effectiveness of RRPs for bank credit cards. To the authors’ knowledge, this is the first research attempt on this topic.

The purpose of this paper is to investigate how referral reward programs (RRPs) with scarcity messages influence consumer’ recommendation behavioral intentions about a bank credit card.

In total, 1,599 consumers are accessed through Amazon’s Mechanical Turk worker panel. The authors use general linear models, analysis of variance and analysis of covariance to test the proposed hypotheses.

The results showed that offering RRPs with scarcity messages increases a consumer’s behavioral intentions to recommend. The limited-quantity message in RRPs has the highest positive impact on consumers’ behavioral intentions.

No prior studies have addressed the relationship between referral rewards and scarcity messages in the bank credit card context. The study contributes to the understanding of the effectiveness of RRPs with scarcity message in improving consumer’s referral.

The purpose of this paper is to investigate how the effects of referral rewards in referral reward programs (RRPs) are moderated through perceived social risk of a recommender.

A total of 717 consumers are accessed through Amazon's Mechanical Turk worker panel. The authors use t-test and analysis of variance to test the proposed hypotheses.

The findings show that consumers with high perceived social risk balance financial rewards with social risks, while low social risk consumers largely ignore these social risk elements surrounding a referral decision.

The inclusion of perceived social risk provides the opportunity to fully understand how a consumer goes about balancing social risk and referral rewards in making referral decisions. The concept of social risk has not been previously applied to this context.

This paper aims to design a vision-based non-contact real-time accurate heart rate (HR) measurement framework for home nursing assistant.

The study applied Second-Order Blind Signal Identification (SOBI) algorithm to extract remote HR signal and analyzed it with Fast Fourier Transform (FFT). Multiple regions of interest are chosen and analyzed to obtain a more accurate result.

An accurate non-contact hear rate (HR) measurement framework is proposed and proved to be efficient.

The contributions of this HR measurement framework are as follows: accurate measurement of HR, real-time performance, robust under various scenes such as conversation, lightweight computation which is suitable and necessary for home nursing assistance. This framework is designed to be flexibly used in various real-life scenes such as domestic health assistance and affectively intelligent agents and is proved to be robust under such scenes.

This study aims to examine the influence of the quality of voluntary disclosure (QVD) on earnings management (EM) amongst a sample of commercial banks in the Middle East and North Africa (MENA) region.

Using a sample of 1,060 bank-year observations for the period 2006–2015, this paper developed a three-dimensional framework to measure the QVD, which considers the quantity, spread and usefulness of the information. Furthermore, this study examines the QVD-EM nexus using an ordinary least squares regression model. This technique is supplemented with conducting an instrumental variable regression model and a two-stage least squares model to overcome the potential occurrence of endogeneity problems.

The findings suggest that QVD is negatively attributed to EM in the context of MENA banks. The findings also confirm that the quality of financial reporting is enhanced by QVD dimensions that were considered in the framework, leading banks to less engagement in EM practices. In contrast, the influence of the quantity dimension (level) of the disclosed information has an insignificant impact on EM, while the spread and usefulness dimensions of VD are negatively and significantly associated with EM in the region.

Although the results are robust to various measurements and to the possible occurrence of endogeneity problems, there are a few limitations should be acknowledged, which provides opportunities for future research. For example, the sample size is relatively small due to data accessibility issues. Likewise, the findings of the research might not be appropriate for non-financial sectors. These limitations provide a good opportunity for future studies to expand on the research by covering other developing economies and, thereby, enriching the understanding offered by this study.

This study offers several implications for bank managers, academics and policymakers. Firstly, it may help managers to appreciate the function and the importance of QVD in mitigating EM. Secondly, for academics, the study provides suggestive evidence on the impact of QVD on EM; however, future research may need to consider the role of morality and ethical behaviour across different environments in reducing excessive risk-taking and constraining earnings manipulation. Finally, it provides insights for policymakers and regulators to develop a framework or guidance that can help banks in providing high-QVD in the context of developing economies.

The study distinctively develops an innovative measurement for QVD using a new multi-dimensional model. This paper also bring new evidence on QVD complexity and its impact on EM practice from an under-researched developing context, namely, the MENA region.

The purpose of this study is to investigate the effect of different infiltration heads on soil water movement using a free infiltration test for small-diameter tube outflow furrow irrigation under mulch film.

The test consisted of small-diameter tube outflow furrow irrigation under mulch film with three different infiltration heads (3, 4 and 5 cm) and furrow drip irrigation under mulch film using an infiltration head of 4 cm (CK).

During irrigation, the accumulated infiltration and migration distance of the wetting front increased with time. During the same infiltration time, both the accumulated infiltration and horizontal migration distance of the wetting front increased with the larger infiltration head, whereas the vertical migration distance of the wetting front gradually decreased. With increasing distance from the furrow center, soil moisture content declined, but the uniformity of its distribution increased as the infiltration head increased.

This study can provide scientific basis for the use of small-diameter tube outflow furrow irrigation under mulch film.

This paper aims to analyze the determinants of the readability non-financial disclosure prepared under the Directive 2014/95/EU in the agrifood and beverage sector.

To reach this goal, an ordinary least squares (OLS) regression model is proposed employing readability and governance variables. The sample is based on European agrifood and beverage listed firms that exceeding 500 employees and are considered public interest entities, including 744 firm-year-observations from 2017, first year after the Directive entered in force, to 2020, last year available.

The authors' results suggest the importance of corporate governance mechanisms as drivers in reaching more readability of non-financial information.

This study provides useful suggestions to policy makers and managers for a better understanding of the role played by some factors on non-financial information (NFI) readability. Moreover, findings may help regulators in confirming that the establishment of a Corporate Social Responsibility (CSR) committee is a step in the right direction to strengthening firms' NFI readability. Lastly, this is beneficial for auditors and preparers who will pay more attention to the internal factors that can push for more (or less) understandability of NFI.

This research contributes to the academic and practical debate because it adds new insights into the literature on NFI readability and represents fertile area for future researches.

The purpose of this paper is to improve the corrosion resistance of the 6061-Al alloy as the battery pack material for electric vehicles, and the nano-SiC/MAO composite coating was prepared.

The corrosion resistance of coatings was evaluated by the global electrochemical test, and the local electrochemical impedance spectroscopy (LEIS) was used to study the local corrosion mechanism. The laser confocal microscope, scanning electron microscope and X-ray diffractometer (XRD) were used to characterise coatings.

Results showed that the impedance of nano-SiC/MAO coating was 1–2 times higher than MAO coating, and the main corrosion product was Al(OH)₃. LEIS results showed that the impedance of the nano-SiC/MAO coating was two times higher than the MAO coating. The defective SiC/Micro-arc oxidation coating still had high corrosion resistance compared to the MAO coating.

The physical model of the local corrosion mechanism for SiC/MAO composite coating in “cavity-fracture collapse” mode was proposed.

The purpose of this study is to compare self-reported antisocial (SRA) behaviour of 10-year-old boys in China (in Zhuhai) and the USA (in Pittsburgh).

In Pittsburgh, 868 boys were given a SRA behaviour questionnaire in 1987–1988. In Zhuhai, 1,154 boys were given the same questionnaire in 2017.

The prevalence of 23 acts in the two countries was significantly correlated (r = 0.69), showing that the acts that were admitted by most boys in one country also tended to be admitted by most boys in the other country. Also, the mean prevalence in the two countries was very similar, at about 13%. However, several acts (e.g. stealing) were more prevalent in Zhuhai, while violent acts were more prevalent in Pittsburgh. The frequencies of the acts in the two countries were also significantly correlated (r = 0.51), although frequency was usually greater in Pittsburgh.

While most theories and research in criminology and psychology are based on Western industrialised countries, it is important to carry out more cross-cultural comparisons of antisocial behaviour in other countries. These results show encouraging generalizability and replicability, despite differences in time and place.

To the best of the authors’ knowledge, this study presents the first comparison of age-matched Chinese and American children on the prevalence and frequency of specific antisocial acts.

The purpose of this paper is to demonstrate how crop price insurance premium can be calculated using an option pricing model and how insurers can transfer underwriting risks in the futures market.

Based on data from spot and futures market in China, this paper develops an improved B-S model for the calculation of crop price insurance premium and tests the possibility of hedging underwriting risks by insurance firms in the futures market.

The authors find that spot price of crops in China can be estimated with agricultural commodity futures prices, and can be taken as the insured price for crop price insurance. The authors also find that improved B-S model yields better estimation of crop price insurance premium than traditional B-S model when spot price does not follow geometric Brownian motion. Finally, the authors find that hedging can be one good alternative for insurance firms to manage underwriting risks.

This paper develops an improved B-S model that is data-driven in nature. Insured price of the crop price insurance, or the exercise price used in the B-S model, is estimated from a co-integration model built on spot and futures market price series. Meanwhile, distributional patterns of spot price series, one important factor determining the applicability of B-S model, is factored into the improved B-S model so that the latter is more robust and friendly to data with varied distributions. This paper also verifies the possibility of hedging of underwriting risks by insurance firms in the futures market.