bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organizational compassion, person-organization fit and discretionary behaviours in non-governmental organizations: a moderated model
Authors: Kasekende Francis , Nasiima Sentrine , Byamukama Rodgers 
Published: March 2022

PurposeThe authors proposed that Organizational Compassion and Person-Organization-Fit dimensions interactively predict Discretionary Behaviours among employees in the Non-Governmental Organization (NGO) sector in Uganda.Design/methodology/approachThe authors employ structural equation modelling to test hypotheses. The research was carried out in two studies; the second one was done six months after the first study. Two samples of respondents were drawn from NGOs operating in West Nile and Kampala regions, respectively.FindingsDiscretionary behaviours were significantly related to the cross-sectionally assessed predictors including organizational compassion and supplementary fit. Complementary fit did not significantly predict discretionary behaviours. Both supplementary fit and complementary fit moderated the association between organizational compassion and employee discretionary behaviours among both rural and urban setting placed NGOs.Practical implicationsIn order to boost employee exhibition of discretionary behaviours, leaders of NGOs should always endeavour to find viable organizational compassion-supplementary fit and organizational compassion-complementary fit blend that can add value to NGOs in Uganda.Originality/valueThis is one of the few studies that have focused on testing the interaction effects of organizational compassion and person organization fit dimensions on discretionary behaviours. These results highlight both supplementary fit and complementary fit as key individual resources that promote the effects of organization compassion on discretionary behaviours among NGO workers in Uganda.
Evaluation of regional agricultural drought vulnerability based on unbiased generalized grey relational closeness degree
Authors: Zhang Dongxing , Luo Dang 
Published: March 2022

PurposeThe purpose of this study is to propose an unbiased generalized grey relational closeness evaluation model to improve the accuracy of regional agricultural drought vulnerability decision-making results, as well as to provide theoretical support for reducing agricultural drought risk and losses.Design/methodology/approachThe index weight is calculated using a rough set and deviation minimization criterion, and the relational degree between the research object and the double reference sequence is thoroughly investigated using the generalized grey relational closeness degree. Because different index rankings can correspond to different closeness degrees, the Monte Carlo method was used to calculate an unbiased estimate of the generalized grey relational closeness degree, which was used as a decision basis.FindingsAgricultural drought vulnerability in Henan Province in 2019 was clearly spatially differentiated. The vulnerability to agricultural drought in the southern and eastern regions was generally higher than that in other regions. The evaluation results of this model are highly stable and reliable compared to those of the traditional generalized grey relational evaluation model.Practical implicationsThis study proposes an evaluation model based on an unbiased generalized grey relational closeness degree, which is important to supplement the grey relational analysis method system and plays a positive role in promoting the quantitative evaluation of regional agricultural drought vulnerability.Originality/valueThe Monte Carlo method is used to calculate the unbiased estimation of the generalized grey relational closeness degree, which solves the problem of the replacement dependence of the traditional generalized grey relational degree and the one-sidedness of the evaluation results, and provides a new research idea for the evaluation of regional agricultural drought vulnerability under cross-sectional informatics.
Tribological behavior of high-pressure torsion processed biodegradable pure Zn under dry and wet conditions
Authors: Günay Bulutsuz Asli 
Published: March 2022

Purpose
Zn has been attracting increasing attention with its biological compatibility property as a degradable implant material. Besides mechanical properties, especially for bone implant applications, wear resistance is a crucial mechanical property. The purpose of this study is to investigate HPTed Zn samples’ tribological behavior under dry and simulated body fluid (SBF) lubrication conditions.

Design/methodology/approach
Pure Zn powders were consolidated via the high-pressure torsion (HPT) method with 1, 5 and 10 rotations. Cast pure Zn samples were used as the control group. The wear behavior of pure Zn samples was investigated under dry and SBF lubrication conditions with a ball-on testing method. The wear tracks were observed with a mechanical profilometer and scanning electron microscope (SEM).

Findings
The application of HPT not only improved the mechanical strength and degradation performance but also improved wear resistance. However, tests with SBF resulted in higher wear rates. Besides, SBF significantly masked the positive effect of HPT on the coefficient of friction (COF). Although with SBF tests, 10 HPT rotation samples resulted in the lowest wear width and volume.

Originality/value
The main originality of this study is to reveal the HPT process and SBF effects on the tribological behavior of pure Zn to observe their potential usage for bone implant applications.
Sustainable innovation and inclusive business in Latin America
Authors: Pineda-Escobar Maria Alejandra 
Published: March 2022

PurposeThis exploratory research aims to analyze sustainable innovation in the context of inclusive business in Latin America.Design/methodology/approachThe study performs a summative content analysis of 22 inclusive businesses (IBs) of current Business Call to Action (BCtA) members in Latin America. Codes were created to identify the modification or introduction of sustainable products/services/processes. Data were analyzed using NVivo 12.FindingsResults show a prevalence of Colombian examples within Latin American inclusive business, and a more significant proportion in the agricultural sector, consistent with reports found in the literature. The authors found that sustainable innovation takes place when introducing new products/services/processes that respond to the needs of the bottom of the pyramid (BoP) population, or modifying existing processes and services to make them more sustainable.Originality/valueAs most sustainable innovation literature is product-oriented and technically dominated, these results contribute to the newer works adopting a more comprehensive conception of innovation, providing empirical evidence at the product, service and process levels. The results provide insights on how inclusive businesses make adaptations to improve the sustainability of their supply chains to bring their products/services within reach of isolated and disadvantaged communities. The findings also suggest that sustainable product innovation in an inclusive business goes beyond a cost reduction objective. Tailored design reveals a hybrid socioeconomic goal with a high degree of local context embeddedness and precise attention to nascent specialized demand. The results could be of practical use for organizations that want to operate an inclusive business in BoP markets.
Libraries, sustainability and sustainable development: a review of the research literature
Authors: Mathiasson Mia Høj , Jochumsen Henrik 
Published: March 2022

PurposeThe purpose of this literature review is to provide an overview of and insights into a selected bibliography of 102 research publications on libraries – of all types – sustainability and sustainable development, including the UN Sustainable Development Goals.Design/methodology/approachThe review procedure is inspired by the hermeneutic literature review method, referring to a circular process of searching, sorting, selecting, acquiring, reading, identifying and refining. The publications are mapped to provide an overview of the research field. Following the research mapping, all publications are categorized as either environmental, economic, social, cultural or holistic according to their usage and understanding of the core concepts of sustainability and sustainable development. Finally, the main rationales behind the core concepts are identified, and their possible implications on the role of libraries and librarians are discussed.FindingsOf the 102 research publications, 45 are categorized as environmental, 9 as economic, 9 as social, 3 as cultural and 36 as holistic. The main rationales identified across these categories are optimization, legitimation, demonstration and transformation. The possible implications behind these rationales are that libraries and librarians should be resourceful, explicit about their motivations, serve as good examples and act as change agents. Increasingly, libraries and librarians are expected to act proactively in relation to the global sustainability agenda.Originality/valueThis literature review provides a unique overview of and insights into an emerging research field, which are needed for future research and discussion about the potentiality of libraries and librarians in solving global sustainability challenges.
Adaptive deep learning for deep COVID-19 diagnosis
Authors: S. Elavaar Kuzhali , M.K. Pushpa 
Published: March 2022

Purpose
COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The main purpose of this work is, COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The COVID-19 diagnosis is required to detect at the beginning stage and special attention should be given to them. The fastest way to detect the COVID-19 infected patients is detecting through radiology and radiography images. The few early studies describe the particular abnormalities of the infected patients in the chest radiograms. Even though some of the challenges occur in concluding the viral infection traces in X-ray images, the convolutional neural network (CNN) can determine the patterns of data between the normal and infected X-rays that increase the detection rate. Therefore, the researchers are focusing on developing a deep learning-based detection model.

Design/methodology/approach
The main intention of this proposal is to develop the enhanced lung segmentation and classification of diagnosing the COVID-19. The main processes of the proposed model are image pre-processing, lung segmentation and deep classification. Initially, the image enhancement is performed by contrast enhancement and filtering approaches. Once the image is pre-processed, the optimal lung segmentation is done by the adaptive fuzzy-based region growing (AFRG) technique, in which the constant function for fusion is optimized by the modified deer hunting optimization algorithm (M-DHOA). Further, a well-performing deep learning algorithm termed adaptive CNN (A-CNN) is adopted for performing the classification, in which the hidden neurons are tuned by the proposed DHOA to enhance the detection accuracy. The simulation results illustrate that the proposed model has more possibilities to increase the COVID-19 testing methods on the publicly available data sets.

Findings
From the experimental analysis, the accuracy of the proposed M-DHOA–CNN was 5.84%, 5.23%, 6.25% and 8.33% superior to recurrent neural network, neural networks, support vector machine and K-nearest neighbor, respectively. Thus, the segmentation and classification performance of the developed COVID-19 diagnosis by AFRG and A-CNN has outperformed the existing techniques.

Originality/value
This paper adopts the latest optimization algorithm called M-DHOA to improve the performance of lung segmentation and classification in COVID-19 diagnosis using adaptive K-means with region growing fusion and A-CNN. To the best of the authors’ knowledge, this is the first work that uses M-DHOA for improved segmentation and classification steps for increasing the convergence rate of diagnosis.
Why do fraud victims get blamed? Lerner’s Belief in a Just World and its application to victims of online fraud
Authors: Nataraj-Hansen Shalini , Richards Kelly 
Published: March 2022

Purpose
Victims of online fraud face a high level of blame from their families, friends, professionals, the broader community and often from themselves. Victims are commonly perceived as stupid, gullible and undeserving of justice. The reasons for this are under-researched, and there are currently no satisfactory explanations of why victim-blaming occurs so frequently in cases of online fraud. This paper aims to propose a potential theoretical explanation for the high level of blame experienced by online fraud victims.

Design/methodology/approach
Lerner’s Belief in a Just World (BJW) theory is posited as a helpful theoretical explanation for the high level of blame directed towards victims of online fraud.

Findings
This paper argues that Lerner’s BJW theory is a helpful framework for understanding the blame faced by victims of online fraud because it posits that behavioural responsibility (a trait commonly ascribed to online fraud victims) is central to perceived blameworthiness; and that compensation for a crime determines the level of blame directed towards victims. As victims of online fraud are exceptionally unlikely to receive any type of compensation (whether monetary or otherwise), BJW may help explain the blame directed towards victims.

Originality/value
Prior scholarship predominantly understands the blame faced by online fraud victims through the lens of Nils Christie’s (1986) “ideal victim” thesis. This paper presents an advance over this existing understanding by illustrating how BJW provides a more detailed explanation for victim blame in online fraud.
Barriers to multicultural education in Iran
Authors: Hassanpour Ali , Batmani Sedighe , Bolandhematan Keyvan 
Published: March 2022

Purpose
This paper aims to identify and investigate barriers to multicultural education in Iran.

Design/methodology/approach
This research is a qualitative research that was done using the phenomenological method. Participants included all experts and key informants in the field of multicultural education in the country who were selected as a statistical sample in different stages of the research using purposeful sampling. The semi-structured interview was used to collect information. Two ways, including member checking and external auditing, were used to validate the information. The thematic analysis method (theme analysis), which is based on open and core coding, was used to analyze the data.

Findings
The interview data revealed that barriers are generally identified in both structural and executive parts. The structural part had two main obstacles, political and scientific-professional, and the executive part had two technical and socio-cultural barriers. Also, barriers to multicultural education in curriculum design are the ideological education system, lack of a clear framework for multicultural education, etc. Furthermore, barriers to multicultural education in the curriculum implementation are hidden curriculum, the inability of teachers to implement multicultural education, etc. Finally, barriers to multicultural education in curriculum evaluation are misconception of evaluation and limited evaluation methods.

Originality/value
To the best of the authors’ knowledge, this study is the first one that presents the experts' viewpoints and experiences on the barriers to multicultural education in Iran.
Anemia, a moderate public health problem among adolescent school girls in Aysaita district, the pastoral community of the Afar region, Ethiopia
Authors: Anbesu Etsay , Mulaw Getahun , Mare Kusse , Kahssay Molla 
Published: March 2022

Purpose
Adolescents are a vulnerable age group in the human life cycle for the development of anemia. Despite limited health infrastructures, there are limited studies in the pastoral community of the Afar region. Thus, this study aims to assess anemia and associated factors among adolescent school girls in the Aysaita district, the pastoral community of the Afar region, Ethiopia.

Design/methodology/approach
An institution-based cross-sectional study was conducted among 522 randomly selected adolescent girls in the Aysaita district. A pretested structured questionnaire was used to collect data, and a systematic random sampling technique was used using school registration rosters. Hemoglobin was measured using a complete blood count machine from the vein blood sample. Anthropometric measurements were done to assess the nutritional status of adolescents. Descriptive logistic regression analysis was used to summarize the results and identify the factors associated with anemia.

Findings
In this study, the prevalence of anemia among adolescent school girls was 109 (21.7%) [95% CI: (18.1%, 25.3%)]. School adolescent girls from rural residence [adjusted odds ratio (AOR) = 3.42, 95% CI (1.97, 5.94)], who had a minimum dietary diversity score less than 4 [AOR = 3.4, 95% CI (2.1, 5.42)] and menstrual duration 5 and above days [AOR = 2.34, 95% CI (1.36, 4.01)] were associated with increased odds of anemia.

Original article
This is original manuscript. Not submitted and published elsewhere.
Understanding the “infodemic”: social media news use, homogeneous online discussion, self-perceived media literacy and misperceptions about COVID-19
Authors: Su Yan , Borah Porismita , Xiao Xizhu 
Published: March 2022

PurposeThis study has three main purposes: (1) to investigate the association between social media news use and misperceptions about COVID-19; (2) to explore the mediating role of homogeneous online discussion; (3) and to understand whether the extent to which one perceives themselves as media-literate could moderate the relationship.Design/methodology/approachThe authors conducted an online survey and collected data through Amazon Mechanical Turk. A total of 797 participants aged 18 and above completed the survey. The average age of the respondents is 38.40 years (SD = 12.31), and 41.2% were female. In terms of party identification, 30.8% were reported leaning toward Republicans; 53.7% leaned toward Democrats, and 15.4% were reported neutral.FindingsResults from a moderated mediation model show that social media news use is positively associated with misperceptions about the COVID-19. Moreover, homogeneous online discussion was a significant mediator of the relationship between social media news use and misperceptions about COVID-19. Further, self-perceived media literacy (SPML) significantly moderated the main and indirect effects between social media news use and COVID-19 misperceptions, such that the associations became weaker among those with higher SPML.Originality/valueFindings provide insights into the significance of online information sources, discussion network heterogeneity and media literacy education. Although there have been many studies on misinformation, prior research has not examined these relationships, which may help provide solutions to cope with misinformation.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2021-0305
Extended qualitative content analysis: researching the United Nations and other international institutions
Authors: Mende Janne 
Published: March 2022

PurposeThis paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions.Design/methodology/approachEQCA supplements the method of qualitative content analysis, which enables researchers to deal with large amounts of data, with two elements from grounded theory, which allow detailed analysis and interpretation of codes and sub-codes. The elements in question are axial coding and theoretical sampling.FindingsEQCA provides a method to generate middle-range theories by combining theoretical and empirical analysis to address and theorize the complex interactions between actors, structures and norms in international institutions. The value added by the proposed method is demonstrated with a case study of a United Nations intergovernmental working group in the issue area of business and human rights.Originality/valueBased on the concepts of interpretation and social causality, this paper contributes to the body of qualitative research that transcends the dichotomy between positivist and post-positivist approaches in the disciplines of international relations and international political theory.
Impaired Wnt/beta‐catenin and protein patched homolog 1 signaling in extraocular sebaceous carcinoma: A clinical and histopathological study
Authors: Cheng An‐Yu , Lan Jui , Lee Chih‐Hung 
Published: March 2022

AbstractSebaceous carcinoma (SC) is a rare malignant neoplasm with sebaceous differentiation. SC is classified into eyelid and extraocular SC clinically. Most studies have focused on the eyelid SC in terms of pathogenesis, treatment, and prognosis. In skin, Wnt/beta‐catenin and hedgehog signaling are two major pathways in sebaceous differentiation. We aimed to characterize the clinical and histopathological features of extraocular SC and to measure the expression of beta‐catenin, lymphoid enhancer‐binding factor 1 (LEF1), sonic hedgehog (Shh), and protein patched homolog 1 (PTCH) in extraocular SC. Ten cases of extraocular SC were identified from 2007 to 2020. The clinical features, microscopic findings, and prognosis were analyzed. Immunohistochemical stain for beta‐catenin, LEF1, Shh, and PTCH were performed in extraocular SC and other benign sebaceous tumors including sebaceous hyperplasia, sebaceous adenoma, and sebaceoma. The male:female ratio was 4:6. The median onset age was 73.5 years (range, 43–88). Seven patients out of 10 were diagnosed after 60 years. Most extraocular SC were located on the head and neck with indurated plaque. Two patients had concurrent internal cancers and three patients showed lymph node metastasis at time of presentation. Five‐year overall‐survival was 40%. Beta‐catenin was expressed membranously in all sebaceous hyperplasia, but was expressed variably in extraocular SC (1/5). While LEF1 was unequivocally expressed in normal hair follicles, LEF1 expression was absent in all extraocular SC and benign sebaceous tumors. Regarding the sonic hedgehog signaling, Shh and PTCH were all expressed in the cytoplasm of sebaceous hyperplasia, sebaceous adenoma, and sebaceoma. In contrast, PTCH was absent in all cases of extraocular SC and only 50% of the extraocular SC expressed cytoplasmic Shh. To conclude, extraocular SC commonly affects facial skin in the elderly. Inactivated Wnt/beta‐catenin and aberrant hedgehog pathway may contribute to the carcinogenesis of extraocular SC. Further studies may be required to elucidate the causative mechanism of these pathways in extraocular SC.