bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing maqasid index for Islamic CSR: the case of Ummah’s Endowment Fund in Indonesia
Authors: Ascarya Ascarya , Masrifah Atika Rukminastiti 
Published: January 2023

Purpose
This study aims to develop the maqasid index (MI) for Islamic corporate social responsibility (CSR), namely, Dana Abadi Umat (DAU) (Ummah’s Endowment Fund) or MI-DAU in Indonesia.

Design/methodology/approach
Modeling and weighting are based on Delphi and analytic network process (ANP) methods, called Delphi–ANP additive weighting. The Delphi method was applied to design and validate the factors of the MI-DAU model, and the ANP method was applied to generate and validate weights for these factors. Finally, the MI-DAU is calculated, based on the planned budget and actual allocation of DAU returns, called the maslahah fund, using additive weighting.

Findings
Delphi and ANP show significant and robust results. The priority order and weights of maqasid Shariah are safeguard the faith (0.32), safeguard the intellect (0.219), safeguard the life (0.204), safeguard the wealth (0.171) and safeguard the lineage (0.104). Meanwhile, the priority order and weights of the main activities are education (0.190), Ummah’s economy (0.167), Hajj service (0.155), Da’wah (0.124), health care (0.118), social-religious (0.097), worship facilities (0.085) and disaster emergency response (0.065). Finally, the results of MI-DAU show a high index in 2019 and 2020 of 71.89 and 69.51, respectively, generated from allocation ratio of 90.63% and 85.98%, respectively.

Research limitations/implications
Maqasid Shariah used in this study follows Al-Ghazali, where it could also follow maqasid Shariah of Abu Zahrah or Al-Najjar. Moreover, the MI-DAU score uses additive calculations, where it can also use Pentagon calculation.

Practical implications
The improved framework and method used to design MI-DAU in this study could be applied to design more scientific MI for other Islamic financial institutions.

Originality/value
The novelty of this study is in the improved method used to design the MI model, including its factors, using Delphi, and to assign weights of all factors using ANP, where both provide validation for more robust MI model.
A decision support framework for socially responsible supplier selection in the Nigerian banking industry
Authors: Ojadi Frank , Kusi-Sarpong Simonov , Orji Ifeyinwa Juliet , Bai Chunguang , Gupta Himanshu , Okwara Ukoha Kalu 
Published: January 2023

Purpose
Sustainability trends have changed the modus operandi in businesses even as the market environment becomes more socially conscious. However, relatively little research has been conducted on integrating social sustainability aspects with a focus on corporate social responsibility (CSR) into the selection of suppliers in the service sector, particularly the banking industry. In this paper, this study aims to propose a CSR decision support methodology to evaluate and prioritize socially responsible suppliers.

Design/methodology/approach
A novel integrated decision support methodology composed of Shannon Entropy and TOmada de Decisão Interativa e Multicritério (TODIM) methods is introduced. The Shannon-Entropy approach is used to estimate CSR factor weights, and TODIM is used to rank the suppliers, with the process completed in a group decision setting.

Findings
A Nigerian bank was used as a case study to test and show the usefulness of the CSR-based decision framework in evaluating and selecting socially responsible suppliers. The results show the topmost ranked suppliers that are recommended for future negotiations by the case (bank). The study will enable banks to select socially responsible suppliers, which could accelerate the attainment of sustainability objectives, protect their reputations and improve competitiveness.

Originality/value
This study pioneers the application of a novel decision methodology based on Shannon Entropy and TODIM in selecting socially sustainable suppliers in the Banking sector of an African emerging economy-Nigeria.
Measurement and determinants of corruption across Indian states
Authors: Shaurav Kumar , Rath Badri Narayan 
Published: January 2023

PurposeThe purpose of this paper is to measure and investigate the determinants of corruption across Indian states.Design/methodology/approachThis research begins by developing a corruption index (CI) based on official data on corruption cases. Second, the authors also create an adjusted corruption index (ACI) using the stochastic frontier modelling approach to address corruption case under-reporting. Third, they use a panel feasible generalised least square (FGLS) technique to discover corruption determinants.FindingsThe results show that approximately 77% of corruption cases in India go under-reported, which is a major concern. The results also show that per capita income, government spending, law and order and urbanisation are the important factors affecting corruption at the regional level.Practical implicationsThe findings of the study emphasise the need to address the huge under-reporting of corruption data. From a policy perspective, the governments need to emphasise factors like per capita income, government spending, law and order and urbanisation to tackle corruption in India.Originality/valueCorruption is a complex global phenomenon, and several studies have conducted detailed research on the causes of corruption at all levels (regional and cross national), but this study differs from previous studies in the following ways. First, the authors used a more objective measure of corruption by developing a CI at the state level. Second, the study uses stochastic frontier analysis, which is novel in the literature on corruption analysis, to address the most critical component of under-reporting in corruption data. Finally, the study attempts to examine the factors of corruption at the regional level, which is again innovative in nature.
Understanding business offending: survey research in Iran
Authors: Gottschalk Petter , Kamaei Maryam 
Published: January 2023

Purpose
The purpose of this study is to explore the extent to which white-collar crime makes sense. Understanding business offending reflects the degree of sensemaking among respondents in the current survey research. Making sense implies a number of factors that influence understandability. An understandable act is not necessarily acceptable or justifiable. At a university in Iran, criminal law and criminology students answered a questionnaire regarding their extent of understanding of business offenders.

Design/methodology/approach
The research method is the use of experimental data using a questionnaire in one of the units of the Islamic Azad University in Iran, where 300 students were invited to respond to an online survey.

Findings
The respondents found it on average understandable that top executives and other privileged individuals abuse their positions to commit financial crime when they have problems with their personal finances, when the business struggles financially and faces the threat of bankruptcy, and when they offer bribes in corrupt countries to obtain business contracts. The extent of understandability varies with a number of propositions in the convenience theory.

Originality/value
This article has not been submitted elsewhere and is original.
Sources of price elasticity of demand variability among Spanish resort hotels: a managerial insight
Authors: Vives Aldric , Jacob Marta 
Published: January 2023

Purpose
The purpose of this paper is to use demand behavior estimation to find the sources of price variability among resort hotels at different Spanish destinations.

Design/methodology/approach
This paper estimates online demand functions during high season for seven four-star resort hotels located at different Spanish destinations. Different price elasticity values are compared, and different factors affecting price elasticity are analyzed.

Findings
The main findings indicate that most of the high season periods display elastic demands, but factors such as a central location at a resort, recent refurbishments, the availability of additional facilities/services and a hotel targeted at the couples and/or half-board segments make the demand more inelastic; the Tenerife hotels had the most price-elastic demand; during the closest booking periods to the date of stay, the demand is usually more elastic; and a higher number of local competitors pushes down hotel prices.

Originality/value
This paper highlights the managerial implications of focusing on more profitable demand segments for hoteliers. This is especially useful for the development of revenue management software aimed at improving forecasts.
SciBR-M: a method to map the evolution of scientific interest - A case study in educational data mining
Authors: Zárate Luis , Rodrigues Marcos W. , Dias Sérgio Mariano , Nobre Cristiane , Song Mark 
Published: January 2023

PurposeThe scientific community shares a heritage of knowledge generated by several different fields of research. Identifying how scientific interest evolves is relevant for recording and understanding research trends and society’s demands.Design/methodology/approachThis article presents SciBR-M, a novel method to identify scientific interest evolution from bibliographic material based on Formal Concept Analysis. The SciBR-M aims to describe the thematic evolution surrounding a field of research. The method begins by hierarchically organising sub-domains within the field of study to identify the themes that are more relevant. After this organisation, we apply a temporal analysis that extracts implication rules with minimal premises and a single conclusion, which are helpful to observe the evolution of scientific interest in a specific field of study. To analyse the results, we consider support, confidence, and lift metrics to evaluate the extracted implications.FindingsThe authors applied the SciBR-M method for the Educational Data Mining (EDM) field considering 23 years since the first publications. In the digital libraries context, SciBR-M allows the integration of the academy, education, and cultural memory, in relation to a study domain.Social implicationsCultural changes lead to the production of new knowledge and to the evolution of scientific interest. This knowledge is part of the scientific heritage of society and should be transmitted in a structured and organised form to future generations of scientists and the general public.Originality/valueThe method, based on Formal Concept Analysis, identifies the evolution of scientific interest to a field of study. SciBR-M hierarchically organises bibliographic material to different time periods and explores this hierarchy from proper implication rules. These rules permit identifying recurring themes, i.e. themes subset that received more attention from the scientific community during a specific period. Analysing these rules, it is possible to identify the temporal evolution of scientific interest in the field of study. This evolution is observed by the emergence, increase or decrease of interest in topics in the domain. The SciBR-M method can be used to register and analyse the scientific, cultural heritage of a field of study. In addition, the authors can use the method to stimulate the process of creating knowledge and innovation and encouraging the emergence of new research.
Information and communication technologies’ (ICTs) use among farmers in Qena Governorate of Upper Egypt
Authors: Mansour Essam 
Published: January 2023

PurposeThe key purpose of this study is to investigate the use of information and communication technologies (ICTs) among farmers in Qena Governorate of Upper Egypt farmers' use of ICTs in Qena Governorate, one of Upper Egypt's largest agricultural governorates.Design/methodology/approachA semi-structured questionnaire survey, as well as some personal interviews, was used to collect detailed information about farmers' use or non-use of ICTs. The study's participants included 131 farmers.FindingsRespondents were mostly males who were married and had an average level of education and age. The majority of respondents had 26–30 years of work experience. The majority of them used ICTs for 4–6 h per day. All respondents used ICTs to learn about new agricultural products, increase land productivity, gather market information and learn about livestock. Mobile phones, social media and the internet were identified as the most useful and simple-to-use technologies by all respondents. Illiteracy, a lack of knowledge and awareness and the cost of CITs were discovered to have an impact on respondents' use of information.Originality/valueThe significance of this study stems from the hotly debated topic of the need to use technology tools in agriculture, whether for agricultural work or communication with others. ICTs provide a variety of new ways to communicate and exchange information and knowledge.
Between research, practice and governmental policies in the global south: understanding the Egyptian urban planning scene
Authors: Maged Ola Ahmed , Brown Bob , Abdel-Moneim Nancy 
Published: January 2023

PurposeUrban planning in the Global South is insufficiently discussed in research. In addition to the global lack of utilization of research in practice, this lack of discussion resulted in an apparent gap between research, practice, governmental policies and education particularly in the Global South. The paper explores the inconsistency of interest between policymakers, practitioners and researchers by reviewing their themes of interest comparatively. The paper investigates the case study of Egypt, which recently faces a new regime with optimistic urban agendas and examines the research publication that coincided with it.Design/methodology/approachA scientometric analysis is conducted on all urban planning publications in Egypt between 2016 and 2022 using the software ‘CiteSpace’. The analysis illustrates the dominating research interests using the publications keyword.FindingsThe analysis revealed a distinct interest between researchers, who were more invested in themes like ‘planning policies’, ‘informal settings’, ‘urban expansion and growth’ and ‘urban governance and management’, while policymakers were more devoted to themes related ‘satellite cities or new cities’, ‘public transit and transit networks’, ‘informal settings’ and ‘urban expansion and growth’. The themes of interest are displayed in network analysis for a comparative analysis with other aspects like practices, governmental policies and education.Originality/valueThe research utilizes all research publications in the field (in a selected period) to develop a study of the research interest in the field of urban planning in Egypt during the recent years. In addition, it uses novel scientometric software to assist in analysing existing publications to produce new findings and trends.
Higher aorta dose increased neutrophil‐to‐lymphocyte ratio resulting in poorer outcomes in stage II‐III non‐small cell lung cancer
Authors: Li Yaqi , Fan Xingwen , Yu Qi , Zhai Haoyang , Mi Jing , Lu Renquan , Jiang Guoliang , Wu Kailiang 
Published: January 2023

AbstractBackgroundThis study focused on the relationship between the neutrophil‐to‐lymphocyte ratio (NLR) and the dose of organs at risk in patients with stage II–III non‐small cell lung cancer (NSCLC) receiving intensity‐modulated radiotherapy.MethodsThe clinical characteristics and dosimetric parameters of 372 patients were collected retrospectively. A high NLR was defined as that ≥1.525. Survival analysis was conducted using the Kaplan–Meier and Cox regression analysis. Least absolute shrinkage and selection operator (LASSO) analysis was conducted to select appropriate dosimetric parameters. The risk factors of NLR were evaluated using univariate and multivariate logistic regression analyses.ResultsPatients with a high NLR had poorer progression‐free survival (PFS) (p = 0.011) and overall survival (OS) (p = 0.061). A low NLR (<1.525) predicted better PFS (hazard ratio [HR] 0.676, 95% confidence interval [CI]: 0.508–0.900, p = 0.007) and OS (HR 0.664, 95% CI: 0.490–0.901, p = 0.009). The aorta dose differed between the low and high NLR groups (all <0.1) in the univariate analysis. An aorta V10 was confirmed as a significant risk factor for a high NLR (odds ratio [OR] 1.029, 95% CI: 1.011–1.048, p = 0.002). Receiving chemotherapy before (OR 0.428, 95% CI: 0.225–0.813, p = 0.010) and during (OR 0.491, 95% CI: 0.296–0.815, p = 0.006) radiotherapy were predictive factors of a low NLR.ConclusionThe aorta dose was significantly associated with a high NLR. Patients with stage II–III NSCLC with a high NLR had poorer prognosis. Receiving chemotherapy before and/or during radiotherapy predicted a low NLR.
The use of theory or model in studies on postpartum care: A narrative review
Authors: Keles Maide Nur , Eroğlu Kafiye 
Published: January 2023

AbstractPurposeIt is aimed to raise awareness about the science of nursing for women's health and the use of nursing theories and models in research by reviewing the studies using theories or models in postpartum care.Data sourcesThe data of the study were obtained by searching YÖK National Thesis Center, EBSCOhost, PubMed, Web of Science, Cochrane, and ScienceDirect databases. Reviewed studies were analyzed in terms of the type of research, sample characteristics, purpose, the field of use of theory and model in the research, and research results.ConclusionsAs a result of the review, it was noted that in the studies, Orem's Self‐Care Deficit Nursing Theory/Model (n = 9), Roy's Adaptation Theory (n = 7), and Kolcaba's Theory of Comfort (n = 7) were the most used theories, theories and models were not used in a systematic structure at every stage of the research, and positive outcomes were obtained with the theory and model‐based nursing interventions.Implications for nursing practiceThe application of theory and model in postpartum care can be chosen by nurses as it improves patient outcomes. Furthermore, the use of theories and models in research to develop nursing knowledge will benefit nursing science while increasing professional autonomy.
Alcohol use disorder criteria exhibit different comorbidity patterns
Authors: Watts Ashley L. , Watson David , Heath Andrew C. , Sher Kenneth J. 
Published: January 2023

AbstractBackground and aimsAlcohol use disorder is comorbid with numerous other forms of psychopathology, including externalizing disorders (e.g. conduct disorder) and, to a lesser extent, internalizing conditions (e.g. depression, anxiety). Much of the time, overlap among alcohol use disorder and other conditions is explored at the disorder level, assuming that criteria are co‐equal indicators of other psychopathology, even though alcohol use disorder criteria span numerous varied domains. Emerging evidence suggests that there are symptom clusters within the construct of alcohol use disorder that relate differentially with important external criteria, including psychopathology and allied personality traits (e.g. impulsivity, novelty‐seeking). The present study mapped individual alcohol use disorder criteria onto internalizing and externalizing dimensions.Design and participantsWe used multivariate and factor analytical modeling and data from two large nationally representative samples of past year drinkers (n = 25 604; 19 454).SettingUnited States.MeasurementsPsychopathology was assessed using the Alcohol Use Disorder and Associated Disabilities Interview Schedule, yielding alcohol use disorder criteria, internalizing diagnoses (i.e. major depressive disorder, dysthymia, social anxiety disorder, generalized anxiety disorder, specific phobia, agoraphobia and panic disorder) and externalizing diagnoses and symptoms (i.e. antisocial personality disorder, conduct disorder and three impulsivity items drawn from borderline personality disorder criteria). Alcohol consumption was assessed in terms of past‐year drinking frequency, usual amount of alcohol consumed on drinking days, binge drinking frequency, intoxication frequency, and maximum number of drinks in a 24‐hour period.FindingsFour different patterns emerged. First, several alcohol use disorder criteria were relatively weakly associated with externalizing and internalizing. Secondly, withdrawal was associated with internalizing, but this association was not specific to distress. Thirdly, there was a general lack of specificity between alcohol use disorder criteria and narrower forms of internalizing, despite what might be predicted by modern models of addiction. Fourthly, recurrent use in hazardous situations reflected higher degrees of externalizing and lower internalizing liability.ConclusionsDifferent symptom combinations appear to yield differential expressions of alcohol use disorder that are disorder‐specific, or reflect broader tendencies toward externalizing, internalizing or both.
Competition and trade policy in the world cotton market: Implications for US cotton exports
Authors: Ridley William , Devadoss Stephen 
Published: January 2023

AbstractCotton is a cornerstone of global fiber markets, and many importing and exporting countries play important roles in the global cotton market. The US cotton sector has long been one of the world's largest. However, Brazil's cotton production has rapidly grown, and the country has become one of the leading cotton producers, accounting for an ever‐increasing share of world cotton production and trade. This meteoric rise has put Brazil's cotton sector in frequent competition with the United States over export sales and market share. We empirically investigate how the expansion of the Brazilian cotton sector has impacted the US cotton sector's position in world markets by quantifying the extent to which rising Brazilian production has caused reallocations of US exports. We also explore how the recent US–China trade war affected these market dynamics by assessing the impacts of China's retaliatory tariffs on US cotton. Our results show that Brazil's cotton production has caused a major disruption to US cotton exports, resulting in a significant reduction in US exports to large cotton importers such as China, Vietnam, and Pakistan, and that these trends were reversed (at least temporarily) by the US–China trade dispute. By illustrating how competitive forces and trade disputes have shaped recent market dynamics for this key commodity, our work adds to the growing literature examining the interplay between competition and trade policy in the global agricultural sector.