bluuebunny/crossref_metadata_2025_split huggingface dataset:
Statistical Analysis Plan for the Blood Pressure Postpartum (BP2) study
Authors: Brew Bronwyn K , Chambers Georgina M , Kotevski Damian , Henry Amanda 
Published: April 2023

AbstractBackgroundHypertensive Disorders of Pregnancy (HDP) complicate 5-10% of pregnancies globally: 2-5% preeclampsia, 3% gestational hypertension, and 0.5-2% chronic hypertension. It is epidemiologically well established that adverse health effects of HDP do not end with the pregnancy: these conditions are associated with increased lifetime cardiovascular disease (CVD) risks. However, intervention trial data in the early years postpartum after HDP, focussed on early intervention to reduce women’s ongoing CVD risks after HDP, is sparse.MethodsThe Blood Pressure Postpartum Trial (BP2) is a 3-arm randomised controlled trial investigating three different methods of follow-up and lifestyle behaviour change in the first 12 months postpartum following a pregnancy affected by HDP. The trial was prospectively registered on the Australian and New Zealand Clinical trials registry (registration: ACTRN12618002004246) and the study protocol has previously been published (Henry A et al, Pregnancy Hypertension 2020; 22: 1-6). This manuscript details the pre-analysis, pre-specified Statistical Analysis Plan.
Influence of co-occurring weakly pathogenic bacterial species on bacterial spot disease dynamics on tomato
Authors: Sadhukhan Shreya , Jacques Marie-Agnes , Potnis Neha 
Published: April 2023

AbstractMixed infections caused by multiple pathogenic and/ weakly pathogenic strains inhabiting the same host plants are common in nature and may modify pathogen dynamics. However, traditional plant pathogen studies have mostly focused on the binary interaction between a single host and a single pathogen. In this study, we have looked beyond this binary interaction and evaluated the impact of co-infection on disease dynamics on tomato using bacterial spot pathogen,Xanthomonas perforans(Xp) and two co-occurring weakly pathogenic strains ofX. arboricola(Xa) andPseudomonas capsici(Pc). Time-series greenhouse co-infection experiments monitoring disease severity and within-host population dynamics revealed higher disease severity in co-infection by three species compared to infection byXpalone. However, co-infection by dual species,XpandPcorXaresulted in lower disease severity compared toXpalone. Thus, co-infection outcomes depend on interacting species. Weak pathogens could exploitXpto colonize the host plant as indicated by their higher populations in co-infection. However,Xppopulation dynamics was dependent on co-infecting partner. While resource competition might be a possible explanation for lowerXppopulation in dual co-infection, interaction ofPcwith the host was found to influenceXppopulation. Interestingly,Xppopulation was higher in presence of three-species interaction compared toXpandXaco-infection, suggesting potential modulation of co-operative interactions amongXpandXain three-species co-infection rather than competitive interactions. Humidity played a significant role in population dynamics of the three species. Overall, this study highlighted importance of co-infection dynamics in studying plant disease outbreaks.
Sustainable supply chains in the heavy vehicle and equipment industry: a multiple-case study of four manufacturers
Authors: Shekarian Ehsan , Prashar Anupama , Majava Jukka , Khan Iqra Sadaf , Ayati Sayed Mohammad , Sillanpää Ilkka 
Published: April 2023

PurposeRecently, interest in sustainability has grown globally in the heavy vehicle and equipment industry (HVEI). However, this industry's complexity poses a challenge to the implementation of generic sustainable supply chain management (SSCM) practices. This study aims to identify SSCM's barriers, practices and performance (BPP) indicators in the HVEI context.Design/methodology/approachThe results are derived from case studies of four multinational manufacturers. Within-case and cross-case analyses were conducted to categorise the SSCM BPP indicators that are unique to HVEI supply chains.FindingsThis study's analysis revealed that supply chain cost implications and a deficient information flow between focal firms and supply chain partners are the key barriers to SSCM in the HVEI. This analysis also revealed a set of policies, programmes and procedures that manufacturers have adopted to address SSCM barriers. The most common SSCM performance indicators included eco-portfolio sales to assess economic performance, health and safety indicators for social sustainability and carbon- and energy-related measures for environmental sustainability.Practical implicationsThe insights can help HVEI firms understand and overcome the typical SSCM barriers in their industry and develop, deploy and optimise their SSCM strategies and practices. Managers can use this knowledge to identify appropriate mechanisms with which to accelerate their transition into a sustainable business and effectively measure performance outcomes.Originality/valueThe extant SSCM literature has focused on the light vehicle industry, and it has lacked a concrete examination of HVEI supply chains' sustainability BPP. This study develops a framework that simultaneously analyses SSCM BPP in the HVEI.
A novel fractional-order discrete grey Gompertz model for analyzing the aging population in Jiangsu Province, China
Authors: Zhang Weiliang , Liu Sifeng , Liu Lianyi , Rathnayaka R.M. Kapila Tharanga , Xie Naiming , Du Junliang 
Published: April 2023

PurposeChina's population aging is gradually deepening and needs to be actively addressed. The purpose of this paper is to construct a novel model for analyzing the population aging.Design/methodology/approachTo analyze the aging status of a region, this study has considered three major indicators: total population, aged population and the proportion of the aged population. Additionally, the authors have developed a novel grey population prediction model that incorporates the fractional-order accumulation operator and Gompertz model (GM). By combining these techniques, the authors' model provides a comprehensive and accurate prediction of population aging trends in Jiangsu Province. This research methodology has the potential to contribute to the development of effective policy solutions to address the challenges posed by the population aging.FindingsThe fractional-order discrete grey GM is suitable for predicting the aging population and has good performance. The population aging of Jiangsu Province will continue to deepen in the next few years.Practical implicationsThe proposed model can be used to predict and analyze aging differences in Jiangsu Province. Based on the prediction and analysis results, identified some corresponding countermeasures are suggested to address the challenges of Jiangsu's future aging problem.Originality/valueThe fractional-order discrete grey GM is firstly proposed in this paper and this model is a novel grey population prediction model with good performance.
Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China
Authors: Tulkinov Shavkatjon 
Published: April 2023

PurposeElectricity plays an essential role in nations' economic development. However, coal and renewables currently play an important part in electricity production in major world economies. The current study aims to forecast the electricity production from coal and renewables in the USA, China and Japan.Design/methodology/approachTwo intelligent grey forecasting models – optimized discrete grey forecasting model DGM (1,1,α), and optimized even grey forecasting model EGM (1,1,α,θ) – are used to forecast electricity production. Also, the accuracy of the forecasts is measured through the mean absolute percentage error (MAPE).FindingsCoal-powered electricity production is decreasing, while renewable energy production is increasing in the major economies (MEs). China's coal-fired electricity production continues to grow. The forecasts generated by the two grey models are more accurate than that by the classical models EGM (1,1) and DGM (1,1) and the exponential triple smoothing (ETS).Originality/valueThe study confirms the reliability and validity of grey forecasting models to predict electricity production in the MEs.
Factors determining bank selection by micro- and small-sized enterprises: evidence from Ethiopia
Authors: Mulu Zelie Enyew 
Published: April 2023

PurposeThis study aimed to explore the importance of various factors considered in the bank selection decisions of micro- and small-sized enterprises (MSEs) in Ethiopia.Design/methodology/approachThe study used a structured questionnaire to collect data from 300 MSEs selected through a convenience sampling technique. Descriptive statistics, exploratory factor analysis and linear regression analysis methods are used to identify the most important factors determining bank selection by MSEs.FindingsThe results of exploratory factor analysis revealed that the availability of credit at a reasonable interest rate, lower service charges and the availability of better automated teller machine (ATM) services are the priorities of MSEs in their bank selection decisions. In addition, the results of regression analysis indicated that price competitiveness is the most important factor determining bank selection decisions of MSEs.Research limitations/implicationsThis study has two major limitations: first, due to resource constraints, the samples included in this study were taken only from the capital city of the country, Addis Ababa. As customer preferences are likely to vary from region to region, future studies could be carried out by including samples from other cities and rural areas of the country. Second, the study relied on a single data collection instrument. The use of additional data collection instruments, such as interviews and focus group discussions, could provide additional insights into the topic.Practical implicationsCommercial banks need to devise a flexible lending policy and set affordable interest rates and collateral requirements to meet the credit needs of MSEs. MSEs, on the other hand, need to improve their bankability by improving their operating and financial reporting practices. Further research can be conducted by covering other cities and the rural parts of the country.Originality/valueThe topic of bank selection has not been explored with a specific reference to MSEs in Ethiopia. The present study addressed this gap by investigating the factors influencing bank selection decisions of MSEs.
The complementary effects of bank intangible value binding in customer robo-advisory adoption
Authors: Chou Szu-Yu , Lin Chih-Wei , Chen Yi-Chun , Chiou Jyh-Shen 
Published: April 2023

PurposeThis study aims to propose an integrated view and emphasize the importance of bank intangible value binding in customers' robo-advisory adoption. It explores the relationship between robo-advisors and traditional banking and defines the role of bank intangible assets value. It also attempts to understand if trust in the banking institution and the financial consultant determines the effect of these relationships.Design/methodology/approachThe target sample of the study was investors who currently use wealth management services. This study collected 228 valid questionnaires and then executed structural equation model analysis to test the hypotheses.FindingsResults showed that intangible value bindings play a mediating role, which positively affects consumers' willingness to adopt robo-advisors. Consumers' trust in banks and financial consultants are antecedent variables, which positively affect the intangible value bindings between consumers and banks. In addition, when the consumers' investment amount is higher, it will weaken the positive relationship between the intangible value binding and robo-advisor adoption intention.Originality/valueMost of the past studies have focused on whether robo-advisors would replace personal financial consultants. This study proposes a hybrid model that contains both robo-advisors and traditional banking services, which encourage the acceptance of robo-advisors.
The use of virtual social networks during the anticipatory phase to reduce perceived crime risk and increase trust in organizers
Authors: Luna-Cortes Gonzalo 
Published: April 2023

PurposeAcademics recently identified a lack of research regarding who should guide interactions in virtual social networks when risks appear. Data shows that organizers are usually less active than other users in this context, which can lead to negative reactions among attendees. This research examines if and how virtual social network communication guided by an official source (vs a nonofficial source vs control group) reduces perceived crime risks and trust before the event, leading to lower ambivalence and higher intention to attend. The study was conducted in Colombia, a country where many individuals face this type of risk.Design/methodology/approachFirst-year university students (N = 210) from Colombia were invited to a “Welcome Cocktail”. Two weeks before the cocktail, they were divided into three groups (70 per condition) to receive information. In Group 1, participants were invited to be part of a WhatsApp group administered by one of the organizers. In Group 2, they participated in a WhatsApp group administered by a student. Group 3 was the control (i.e. no virtual communication established before the event). One week after the meeting, they were gathered again and answered a questionnaire, which measured perceived crime risk, trust, ambivalence and intention to attend.FindingsParticipants in the WhatsApp group administered by an official source perceived lower risk and higher trust in the organizers, which led to lower ambivalence towards the event and higher intention to attend it. The relationship between ambivalence and intention to attend is moderated by the nationality of the participants (locals vs foreigners), such as, at equal levels of ambivalence, foreigners show lower intention to attend the event.Originality/valueThis is the first study that compares different approaches on a virtual social network to reduce perceived crime risk in event management. The results present new findings on how the presence of an official source can mitigate this risk, and which potential attendees (i.e. locals vs foreigners) are especially benefited from it. The findings are particularly useful for managers in regions where attendees face crime risks every day, and might feel low trust towards public and private institutions, such as in Colombia.
Idiosyncratic volatility in commodity futures markets: measurement and puzzle
Authors: Hong Liu , Zhou Tianpeng 
Published: April 2023

PurposeThis paper aims to propose an alternative method to measure idiosyncratic volatility and test whether the idiosyncratic volatility puzzle holds in commodity futures markets.Design/methodology/approachThis paper proposes a partially new measure of idiosyncratic volatility in commodity futures markets based on the Schwartz and Smith (2000) short-term/long-term model. This model enables us to capture systematic risks of commodity futures markets in a parsimonious way.FindingsUsing a sample of futures contracts for 20 commodities from 1973 to 2022, this paper demonstrates that idiosyncratic volatility is more significant than systematic volatility in commodity futures markets, and that the idiosyncratic volatility puzzle does not hold in these markets. This paper also performs robustness tests to investigate whether the puzzle holds during subsample periods when commodity markets are more volatile and find consistent results. This study highlights the differences between commodity futures markets and equity markets and emphasizes the importance of investigating idiosyncratic volatility in commodity futures markets.Originality/valueThe contributions of this paper are threefold. First, this paper contributes to the literature by focusing on the idiosyncratic volatility of commodity futures returns. Second, this paper constructs a partially new measure of idiosyncratic volatility in commodity futures markets. Finally, this paper also contributes to the literature on the idiosyncratic volatility puzzle and demonstrates that the puzzle may not exist in commodity futures markets.
Therapists’ attitudes towards the use of AI in therapeutic practice: considering the therapeutic alliance
Authors: Prescott Julie , Hanley Terry 
Published: April 2023

Purpose
The aim of this research is to gain an insight into the attitudes that therapists, both qualified and trainee, have towards the use of artificial intelligence (AI)/machine therapy in therapeutic practice. The paper also aims to gain an insight into attitudes towards machine therapy and the potential of developing a therapeutic alliance with a machine therapist.

Design/methodology/approach
A short questionnaire was developed to gauge therapists and trainee therapists’ attitudes towards machine therapy. The questionnaire included a scenario for participants to read and then respond to questions on the therapeutic alliance using questions based upon those asked on the working alliance short inventory scale. At the end of the questionnaire, there was also the opportunity for participants to respond to an open-ended question.

Findings
It is evident from the responses that there is a clear reservation about the use of AI technology within the therapeutic setting. In spite of this reticence, many participants recognised the potential and are open to the possibilities this technology can bring. It was notable that the therapists largest concern was about the potential to create a strong bond with a machine therapist.

Originality/value
This paper presents findings on therapists’ attitudes towards AI use within therapeutic practice and machine therapy. Whilst limited in scope, it provides a yardstick for considering the way that attitudes towards these emerging technologies might change in the future.
Emotional labour and burnout among police officers
Authors: Hopkins Benjamin , Dowell David , Flitton Joe 
Published: April 2023

PurposeWith rare research access to the police service in the United Kingdom, the authors investigate levels of burnout and the performance of emotional labour.Design/methodology/approachUsing 330 surveys completed by serving police officers, the authors investigate levels of burnout and also the performance of the three elements of emotional labour.FindingsInvestigating heterogeneity, the authors create a typology of three different types of officer. In addition to a core group, this includes groups with misaligned and matching values. Surface acting impacts on all groups, and in each group it is associated with increased levels of burnout.Originality/valueA unique feature of this research is the involvement of a practitioner from the police service in the authorship team, together with re-engagement with the police service in order to refine this typology. Possible coping strategies are introduced following this consultation.
Relevance of zoning small to medium size (StMS) shops in contemporary English valuation surveying practice in Newcastle upon Tyne, England
Authors: Abdulai Raymond Talinbe 
Published: April 2023

PurposeIn English valuation practice, when valuing small to medium size (StMS) shops, rental analysis is undertaken using zoning based on the argument that shop fronts including window displays attract customers to shops and that most trading takes place in the internal frontage area making it the most valuable part of shops. Albeit zoning has been critiqued, it remains the preferred method of rental analysis. The paper aims to answer two research questions: are shop fronts including window displays the only factor that attracts customers to shops? And is the frontage space within shops the area most trading takes place?Design/methodology/approachThe exploratory qualitative research methodology was used, and primary data collected by observing 178 shops in selected five shopping areas. The observational data were complemented with the use of secondary data.FindingsThe study has shown that shop fronts are not the only factor attracting clientele to shops as there are other varied factors including location, availability of Internet and hoardings. There is no evidence to suggest most goods in shops are displayed at the frontage space that attract most customers to that area, thereby, making the area the most valuable part, which decreases backwards.Practical implicationsThese findings coupled with extant research evidence implies zoning can lead to under or over valuation of StMS shops (which is not good for retail real estate (RE) management or market), and turnover generated from shops is the overarching determinant of rental values in valuation.Originality/valueThis is the first time the very foundation/underpinning principles of zoning have been subjected to scrutiny in England.
A hedonic value-based consumer continuance intention model toward location-based advertising
Authors: Le Xuan Cu 
Published: April 2023

PurposeHedonic value is commonly conceded as a determinant of behavioral intentions toward location-based advertising (LBA). However, the careful consideration of a mechanism behind hedonic motivation and its subsequent impact on continuance intention is inadequate. This study aims to explore the formation of hedonic value and its motivation for prolonged usage toward LBA.Design/methodology/approachA sample of 486 mobile users was recruited to evaluate the research model using structural equation modeling (SEM).FindingsResults reveal that perceived utility and promotional offers are the strongest indicators of hedonic value. Moreover, social support and contextual convenience play an essential role in heightening hedonic value. Furthermore, the research lenses attempt to clarify the direct, indirect influences of hedonic value, irritation and perceived credibility on continuance intention.Practical implicationsThe findings offer practitioners an understanding of how to improve hedonic value and continuance intention and develop effective LBA strategies in emerging markets.Originality/valueThis study narrows the gap of current literature by formulating a hedonic value-based continuance intention model based on uses and gratifications theory (UGT). Additionally, this work illuminates the insights into hedonic value toward LBA by identifying its motivations, including perceived utility, promotional offers, social support and contextual convenience.