bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of religion and modernity on luxury consumption in an Arabian Gulf community: does self-construal matter?
Authors: Ebaidalla Ebaidalla M. , Malkawi Asma 
Published: October 2022

Purpose
This study aims to investigate the simultaneous impact of religion and modernity on attitude toward luxury consumption in Qatar, with emphasis on the mediating effect of self-construal. The authors propose the idea that self-construal is a significant mediator through which religion and modernity influence attitude toward luxury consumption.

Design/methodology/approach
The data for this study are sourced from a survey of 190 Qatari respondents. The conceptual model is estimated using both the covariance-based and the partial least squares structural equation modeling techniques for the purpose of robustness check.

Findings
The results indicate that religion has a positive and significant association with both independent and interdependent self-construal. The impact of modernity on independent self-construal is positive and significant, while its effect on interdependent self-construal is not significant, implying that modernity has no impact on individuals’ interdependence in the Gulf communities. Moreover, the results reveal that self-construal significantly mediates the effect of both religiosity and modernity on luxury consumption attitude, as expected.

Originality/value
The originality of this article lies in investigating the impact of religion and modernity on attitude toward luxury consumption through the self-construal paradigm. To the best of the authors' knowledge, this is the first study examining the simultaneous impact of religion and modernity in a Muslim community, from a self-construal perspective. Second, unlike the prior studies, this paper addresses the issue of non-normality in the data using the maximum likelihood robust estimator.
Design of radio frequency power amplifier for 2.45 GHz IoT application using 0.18 µm CMOS technology
Authors: Rhaffor Nuha , Ang Wei Keat , Packeer Mohamed Mohamed Fauzi , Rajendran Jagadheswaran , Mohd Noh Norlaili , Mustaffa Mohd Tafir , Hairi Mohd Hendra 
Published: October 2022

Purpose
The purpose of this study is to show that due to the emergence of the Internet of Things (IoT) industry in recent years, the demand for the higher integration of wireless communication systems with a higher data rate of transmission capacity and lower power consumption has increased tremendously. The radio frequency power amplifier (PA) design is getting more challenging and crucial. A PA for a 2.45 GHz IoT application using 0.18 µm complementary metal oxide semiconductor (CMOS) technology is presented in this paper.

Design/methodology/approach
The design consists of two stages, the driver and output stage, where both use a single-stage common source transistor configuration. In view of performance, the PA can deliver more than 20 dB gain from 2.4 GHz to 2.5 GHz.

Findings
The maximum output power achieved by PA is 13.28 dBm. As the PA design is targeted for Bluetooth low energy (BLE) transmitter use, a minimum of 10 dBm output power should be achieved by PA to transmit the signal in BLE standard. The PA exhibits a constant output third-order interception point of 18 dBm before PA becomes saturated after 10 dBm output power. The PA shows a peak power added efficiency of 17.82% at the 13.24 dBm output power.

Originality/value
The PA design exhibits good linearity up to 10 dBm out the PA design exhibits good linearity up to 10 dBm output power without sacrificing efficiency. At the operating frequency of 2.45 GHz, the PA exhibits a stability k-factor, the value of more than 1; thus, the PA design is considered unconditional stable. Besides, the PA shows the s-parameters performance of –7.91 dB for S11, –11.07 dB for S22 and 21.5 dB for S21.
Religiosity and accountants' ethical decision-making in a religious country with a high level of corruption
Authors: Liyanapathirana Nirupika , Akroyd Chris 
Published: October 2022

Purpose
This paper aims to understand how accountants in Sri Lanka perceive the effect of religiosity on ethical decision-making. Sri Lanka is a highly religious country, but it also has a high level of corruption, so understanding ethical decision-making in this context is important for the accounting profession.

Design/methodology/approach
Data were collected using semi-structured interviews with 40 accountants in Sri Lanka with decision-making roles. Virtue ethics theory and content analysis were used to analyse the interview data and categorise accountants' responses into themes using an interpretive methodology.

Findings
This paper identifies three ways in which religiosity can influence accountants’ ethical decision-making. Firstly, through a faith in the beliefs of their religion; secondly, through awareness of religious prescriptions and virtues; and thirdly, through a commitment towards religious practices and rituals. However, the findings show that religiosity does not always influence the ethical decision-making of accountants because of pervasive corruption, which is a cultural norm in contemporary Sri Lanka. Thus, it is evident that there is an interrelationship between religious and cultural environments which can influence ethical decision-making.

Originality/value
While the religiosity of accountants can support ethical decision-making, the findings of this paper show that the cultural norm of corruption can mediate this connection as the evidence shows that accountants with a strong religious background, irrespective of their religion, may still act unethically when corruption is a cultural norm.
The economic and environmental effects of an optimal emission reduction subsidy policy in the presence of business cycles
Authors: Ramezani Fariba , Arjomandi Amir , Harvie Charles 
Published: October 2022

Purpose
As a by-product of the production process, emissions can follow output fluctuations. Hence, disregarding the relationship between economic fluctuations and emissions could result in undesirable environmental outcomes. This study aims to investigate the environmental and economic effects of abatement subsidies on overall emissions during business cycles in Australia.

Design/methodology/approach
A real business cycle (RBC) model is devised and parameterised in this paper. RBC models have been recently introduced to environmental policy analysis, and this study contributes to the literature by investigating the effects of a potential subsidy policy in an RBC framework. The model is also calibrated and provides solutions for the Australian economy.

Findings
The authors find that under a steady-state situation, supporting abatement can result in reducing emissions by 6.45% while it imposes welfare costs to the economy (by 0.61%). Simulation results show that an optimal abatement policy should be pro-cyclical, with the abatement subsidy increasing during expansions and decreasing during recessions. As well, in a subsidy policy setting, emissions would react pro-cyclically, i.e. emissions increase (decrease) when the gross domestic product increases (decreases). The abatement reaction by firms, however, is different, because when a positive productivity shock occurs, firms reduce abatement and allocate resources to production. Nonetheless, as time passes, the increased subsidy provides a strong enough incentive to allocate resources to abatement and, subsequently, abatement increases.

Originality/value
This paper investigates how an emission reduction subsidy should be adapted to macroeconomic fluctuations so that it can limit variations in emissions.
Phosphotransferase system sugars immediately induce mutations of Cra in an Escherichia coli ptsH mutant
Authors: Min Huitae , Seok Yeong‐Jae 
Published: October 2022

AbstractMost bacteria use the phosphoenolpyruvate (PEP):sugar phosphotransferase system (PTS) to catalyse coupled transport and phosphorylation of sugars. The PTS consists of several sugar‐specific components (enzyme IIs) and two general components: enzyme I, encoded by ptsI, and HPr, encoded by ptsH, which are common to most PTS carbohydrates. Although both enzyme I and HPr are believed to be required to utilize these PTS sugars, an E. coli ptsH mutant has been reported to exhibit a leaky growth phenotype on these sugars. Here, we show that this phenomenon occurs because the ptsH mutant undergoes adaptive mutations in the presence of PTS sugars within a few generation times. The ptsH mutant cells once exposed to a PTS sugar showed a growth rate similar to that of the wild‐type strain when transferred to fresh medium supplemented with the same PTS sugar, suggesting the acquisition of additional genetic variations. Genome sequencing revealed that the PTS sugar‐adapted variants harboured loss‐of‐function mutations in cra, which increased expression of the fruBKA operon. Our results suggest that the presence of a PTS sugar can exert a strong selective pressure when a general PTS component is defective.
Evaluating economic benefits of the revitalization vouchers: The case of Taiwan's Triple Stimulus Vouchers
Authors: Hua Chia‐Cheng , Yang Hao‐Yen , Peng Su‐Ling 
Published: October 2022

AbstractThis article takes Taiwan’s Triple Stimulus Vouchers (TSVs) launched in the second half of 2020 as an example to evaluate the economic benefits of revitalization vouchers during the COVID‐19 period. We apply scenario settings and input–output tables to evaluate the policy benefits. The main conclusions are as follows: (1) The issuance of TSVs will induce consumers to use revitalized triple vouchers. As the epidemic is under control domestically and border control continues that ruled out non‐citizen consumptions, issuing the TSVs during summer vacations generates positive economic benefits. (2) Using promotional activities TSVs are indeed helpful to boost consumer confidence. (3) According to estimates, the benefit of TSVs to real GDP is between NT$45.062 and 83.727 billion; the economic growth rate increases by 0.1173–0.2156%. (4) TSVs have a significant impact on the service industry. The department stores benefited a lot from the TSV policy, and supermarkets and hypermarkets saw rising revenues. Merchants, small shops, and even hawkers in the streets or traditional markets also felt the strength of economic recovery from the retail consumption growth of TSVs, which also brings economic benefits expected by the policy.
E‐commerce and supply chain resilience during COVID‐19: Evidence from agricultural input e‐stores in China
Authors: Guo Jianxin , Jin Songqing , Zhao Jichun , Li Yuhua 
Published: October 2022

AbstractCOVID‐19 has caused major disruptions to agricultural supply chains around the world. Researchers and policy‐makers are interested in identifying means to reduce the disruptive effects caused by the pandemic. We investigate the impacts of COVID‐19 on the operation of e‐commerce stores (in short, e‐stores) specialising in agricultural inputs. The difference‐in‐differences method (DID) is employed to estimate the causal relationship between COVID‐19 and online sales of agricultural inputs using data from 54,244 agricultural input e‐stores registered in 118 prefecture‐level cities across 15 provinces and hosted on two major Chinese e‐commerce platforms. The results show that COVID‐19 led to a substantial growth in monthly sales of agricultural input e‐stores, and this growth of online sales varied across store scales and by types of agricultural inputs. In particular, e‐stores selling seeds and seedlings experienced a larger growth in sales than stores selling agricultural machinery and implements, and the mid‐ and larger‐scaled e‐stores experienced more growth of sales than micro‐ and small‐scaled e‐stores. Further analysis reveals that the growth of online sales of agricultural inputs was driven mainly by an increase in the quantity of customer orders (QCO). The findings of this paper underscore the importance of e‐commerce in ensuring the resilience of the agricultural supply chain during the pandemic period.
The transcriptomic signature of responses to larval crowding in Drosophila melanogaster
Authors: Morimoto Juliano , Wenzel Marius , Derous Davina , Henry Youn , Colinet Herve 
Published: October 2022

AbstractIntraspecific competition at the larval stage is an important ecological factor affecting life‐history, adaptation and evolutionary trajectory in holometabolous insects. However, the molecular pathways underpinning these ecological processes are poorly characterized. We reared Drosophila melanogaster at three egg densities (5, 60, and 300 eggs/mL) and sequenced the transcriptomes of pooled third‐instar larvae. We also examined emergence time, egg‐to‐adult viability, adult mass, and adult sex‐ratio at each density. Medium crowding had minor detrimental effects on adult phenotypes compared to low density and yielded 24 differentially expressed genes (DEGs), including several chitinase enzymes. In contrast, high crowding had substantial detrimental effects on adult phenotypes and yielded 2107 DEGs. Among these, upregulated gene sets were enriched in sugar, steroid and amino acid metabolism as well as DNA replication pathways, whereas downregulated gene sets were enriched in ABC transporters, taurine, Toll/Imd signaling, and P450 xenobiotics metabolism pathways. Overall, our findings show that larval crowding has a large consistent effect on several molecular pathways (i.e., core responses) with few pathways displaying density‐specific regulation (i.e., idiosyncratic responses). This provides important insights into how holometabolous insects respond to intraspecific competition during development.
What do they think of me? Professional diversity, meta‐stereotype negativity, suspicion, and counterproductive work behaviour
Authors: Mitchell Rebecca , Gu Jun , Boyle Brendan 
Published: October 2022

AbstractRelatively little is known about the role of diversity in counterproductive work behaviour (CWB). Drawing on social categorisation theory, we develop and investigate a model of professional diversity on interpersonal CWB through the mediating role of suspicion and examine the role of perceived status differences as an important moderator of this indirect effect. Data from a sample of 63 United States healthcare teams (study 1) and 190 working professionals (study 2) suggest that professional diversity is positively predictive of suspicion within teams and highlights the explanatory role of meta‐stereotype negativity. Further, we find that suspicion may mediate the relationship between diversity and CWB, and that perceived status differences between professions moderate the impact of suspicion, and the indirect effect of diversity, on CWB. These results highlight the importance for human resource management leaders to understand the potentially dysfunctional impact of team diversity and the levers available to lessen these negative consequences.
Single‐use, co‐use, and polysubstance use of alcohol, tobacco, and cannabis in sexual minority and heterosexual females
Authors: Ehlke Sarah J. , Kendzor Darla E. , Smith Michael A. , Sifat Munjireen S. , Boozary Laili K. , Cohn Amy M. 
Published: October 2022

AbstractBackground and ObjectiveAlcohol, tobacco, and cannabis use are more prevalent in sexual minority females than heterosexual females, and their use is associated with adverse consequences. Identifying disparities in substance use patterns by sexual identity may inform interventions targeting this vulnerable group. This study examined differences between heterosexual and sexual minority females on patterns of past 30‐day tobacco, alcohol, and cannabis use.MethodsN = 3020 females (18.8% sexual minority) completed an online survey (September 2020–October 2021) that queried about past 30‐day tobacco/nicotine (cigarettes, e‐cigarettes, large cigar/LCCs, and other products), alcohol, and cannabis use. Participants were classified into one of eight patterns: no use, tobacco/nicotine‐only, alcohol‐only, cannabis‐only, alcohol and tobacco/nicotine, tobacco/nicotine and cannabis, alcohol and cannabis, and polysubstance use. A multinomial logistic regression model examined the association between sexual identity and each substance use group, controlling for demographics.ResultsAcross both groups, no substance use was the most common pattern. Polysubstance use was the most common substance use pattern among sexual minority females. In adjusted regression models, sexual minority females were more likely to report cannabis‐only (adjusted odds ratio [AOR] = 2.58), tobacco/nicotine and cannabis co‐use (AOR = 1.74), alcohol and cannabis co‐use (AOR = 2.50), and polysubstance use (AOR = 2.60), compared to heterosexual females. [Correction added on 23 November 2022, after first online publication: In the preceding paragraph, the AOR and CI values were corrected.]Discussion and ConclusionsSubstance use patterns that involve cannabis are more common among sexual minority females.Scientific SignificanceThis study extends prior research by using a large sample of females to examine differences based on sexual identity in patterns of tobacco/nicotine, alcohol, and cannabis use beyond single substance use and considers co‐use and polysubstance use.
Corporate Philanthropy and Analyst Forecast Accuracy: Evidence from China
Authors: Tang Jing , Huang Chenghao 
Published: October 2022

AbstractBased on the perspective of market attention, this study investigates financial analysts' performance in the presence of corporate philanthropy in China. We find that the involvement of corporate philanthropy is associated with lower analyst forecast error. Additionally, our results show that the favorable effect of philanthropy on analyst forecast accuracy is stronger for firms with higher and easier information exposure in the face of engaging in corporate philanthropy. Collectively, our findings have important implications for academics and practitioners in understanding the function of corporate philanthropy in financial markets.
Exogenous hormone use and the risk of surgically treated cataract: Evidence from 91 760 female participants in the 45 and Up Study
Authors: Zhang Jiaqing , Shang Xianwen , Liu Zhenzhen , Tan Xuhua , He Mingguang , Han Xiaotong , Luo Lixia 
Published: October 2022

AbstractPurposeTo investigate the association between exogenous hormone use and the risk of cataract surgery among working‐aged Australian women.MethodsA total of 91 760 female participants aged 45–65 years and without prior history of cataract surgery were prospectively enrolled between January 2006 and December 2009 in New South Wales (NSW), Australia. A baseline self‐reported questionnaire was used to collect information on participant demographic, socio‐economic, lifestyle characteristics, medical history as well as the use of hormonal contraception and hormone replacement therapy (HRT). Cataract surgery for these participants during 2006–2019 was determined according to the Medicare Benefits Schedule database. Cox regression was used to assess the association between exogenous hormone use and incident cataract surgery during the follow‐up.ResultsDuring a mean follow‐up of 11.3 years, 10 444 participants underwent cataract surgery with a corresponding incidence of 11.4% (10 444/91 760). Compared with never users, ever and current users of HRT had a 22% and 14% increased risk of cataract surgery, respectively. A dose–response with longer HRT use resulting in a larger increase in cataract surgery risk was observed (p for trend <0.001). Among participants never used HRT, hormonal contraception had a protective effect against incident cataract surgery (hazards ratio: 0.87; 95% confidence interval: 0.80–0.94).ConclusionsUse of HRT significantly increased the risk of cataract surgery, and hormonal contraception use had a protective effect on cataract surgery among HRT non‐users. Further studies assessing the effect of different hormone types and doses are needed.
Guidelines for conducting partnered research in applied psychology: An illustration from disability research in employment contexts
Authors: Fisher Sandra L. , Bonaccio Silvia , Jetha Arif , Winkler Monica , Birch Gary E. , Gignac Monique A. M. 
Published: October 2022

AbstractThe partnered research method, used routinely in other fields, offers great potential to improve the quality and practical use of applied psychology research. Partnered research integrates the perspectives of researchers, knowledge users, people who have lived experience with the attributes being studied, and other stakeholders in all elements of the research process, from the creation and generation of research questions to the methods used, the data analyzed, and the dissemination, application, and implementation of research results. We explain the concept of partnered research and provide a step‐by‐step roadmap for applied psychology scholars interested in conducting partnered research. In doing so, we also address common challenges with this method and provide advice on how to overcome them. We embed our description of the partnered research approach primarily in the context of research on disabilities and work but also offer examples drawn from other areas of applied psychology.
Blame it on her ‘baby brain’? Investigating the contents of social stereotypes about pregnant women's warmth and competence
Authors: Pownall Madeleine , Conner Mark , Hutter Russell R. C. 
Published: October 2022

AbstractThe Stereotype Content Model proposes that social stereotypes broadly exist along two dimensions: warmth and competence. This framework has been used to investigate the contents of stereotypes of gendered groups in a range of contexts. However, it has not been extensively applied to perceptions of pregnant women. This is important, given how pregnant women are typically framed by society to have ‘baby brain’ or reduced competence. Therefore, we investigated the contents of social stereotypes of pregnant women. In Study 1, participants (N = 590) rated a target group (pregnant women) and thirteen other comparison groups on perceptions of warmth (compassion, empathy and comfort) and competence (mathematics ability, logic and memory). Pregnant women were generally stereotyped to have low competence and high warmth, relative to other groups. Study 2 (N = 54) then descriptively investigated the wider contents of stereotypes related to pregnant women, new mothers, men and women using a trait generation task. Generated traits were coded within the dimensions of warmth and competence. This showed, again, that pregnant women were assigned traits related to warmth and poor competence. Taken together, these studies confirmed that perceptions of low competence and ‘baby brain’ in pregnancy is broadly held by a non‐pregnant sample.
A new goodness‐of‐fit measure for probit models: Surrogate R2
Authors: Liu Dungang , Zhu Xiaorui , Greenwell Brandon , Lin Zewei 
Published: October 2022

AbstractProbit models are used extensively for inferential purposes in the social sciences as discrete data are prevalent in a vast body of social studies. Among many accompanying model inference problems, a critical question remains unsettled: how to develop a goodness‐of‐fit measure that resembles the ordinary least square (OLS) R2 used for linear models. Such a measure has long been sought to achieve ‘comparability’ of different empirical models across multiple samples addressing similar social questions. To this end, we propose a novel R2 measure for probit models using the notion of surrogacy – simulating a continuous variable as a surrogate of the original discrete response (Liu & Zhang, Journal of the American Statistical Association, 113, 845 and 2018). The proposed R2 is the proportion of the variance of the surrogate response explained by explanatory variables through a linear model, and we call it a surrogate R2. This paper shows both theoretically and numerically that the surrogate R2 approximates the OLS R2 based on the latent continuous variable, preserves the interpretation of explained variation, and maintains monotonicity between nested models. As no other pseudo R2, McKelvey and Zavoina's and McFadden's included, can meet all the three criteria simultaneously, our measure fills this crucial void in probit model inference.