bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of adoption of organic rice production: a case of smallholder farmers in Hai Lang district of Vietnam
Authors: Hoang Hung Gia 
Published: June 2021

PurposeThe purpose of this study is to investigate factors that affect smallholders' adoption of organic rice production in the Hai Lang district of Vietnam.Design/methodology/approachThis study employed a cross-sectional survey research design. A sample size of 215 was drawn from a total of 455 smallholders. Descriptive and inferential statistics, including a binary logistic regression, were used to analyse the data.FindingsThe study concludes that younger female smallholders participating in credit/training programs and community-based organisations, who have a high level of education, a large household size and more experience in rice farming, and who grow mixed crops, have a greater tendency to adopt organic rice production.Research limitations/implicationsA combination of demographic, socio-economic and institutional characteristics of rice smallholders should be considered when promoting organic rice farming practices by smallholders and when choosing organic agricultural development strategies for smallholders in developing countries.Originality/valueThis research provides significant understanding of the determinants of organic rice adoption by smallholder farmers and highlights factors that need to be considered when designing policies to enhance the uptake of organic farming in developing countries.
Managing service innovations at online travel agencies: evidence from China
Authors: Mu Yu , Bossink Bart , Vinig Tsvi , You Suchuan 
Published: June 2021

PurposeResearch on service innovation management of online travel agencies (OTAs) remains relatively scarce. This study aims to illuminate the detailed components of managing service innovations at OTAs.Design/methodology/approachAn in-depth case study is conducted at Trip, the largest OTA in China. A coherent framework of managing service innovations at OTAs is proposed through refining an existing framework from new service development (NSD), and concerning the success factors of service innovation. Based on theoretical synthesis and empirical analysis, the NSD framework is adapted, restructured and refined for service innovation management at OTAs.FindingsThe proposed framework contains three facets and associated managerial elements: (1) resources, including stakeholders, technologies and systems; (2) contexts, including innovation strategy, structure and culture; and (3) ideation, including idea generation and idea application. Different success factors are attached to the managerial elements. The facets, managerial elements and success factors serve as the components in the framework.Research limitations/implicationsThis study provides academia with an analytical framework to understand and interpret service innovation management at OTAs, which can be used as a point of departure for future research.Practical implicationsThe analytical framework inspires OTA managers to adopt a structured approach in service innovation management, and policymakers to design related interventions.Originality/valueThis study offers a first step toward the investigation of service innovation management at OTAs, specifically in China. The proposed framework is potentially applicable to other industries.
Experiential examination of higher education partnerships in the UK: a knowledge management perspective
Authors: Elezi Enis , Bamber Christopher 
Published: June 2021

Purpose
Higher education institutions possess a plethora of knowledge at the institutional, departmental and individual levels. Therefore, knowledge management plays a vital role in assisting partnerships to synergise knowledge and strengthen market competitiveness when working collaboratively. The purpose of this study is to identify and critically discuss the role of knowledge management concepts that support development of UK higher education partnerships. This knowledge management research was undertaken with the purpose of exploring components of behavioural constructs in assisting the development of successful partnerships between higher education institutions.

Design/methodology/approach
This research embraces a qualitative methodology and makes use of an expert panel method to gather field data and assess the relevance, robustness and applicability of a conceptual model developed in the context of higher education partnerships. Guided by two research questions, the researchers elicited knowledge from eight experts, academics and practitioners, who had initiated and led partnership development between UK higher education institutions. The experts were invited and selected to attend the panel using the criteria of “Years of Experience in the Higher Education sector”, “Job Positions and Experiences” and the “Partnership Scope and Impact”.

Findings
Depicting in a tree analogy, the conceptual model indicates that effective knowledge management will require higher education executives, managers and practitioners to centre on nurturing “tree roots” presented as behavioural knowledge management constructs and include institutional culture, trust, absorptive capacities and communication channels. The research findings elaborate on previous research and provide a categorisation of partnership outcomes between higher education institutions, explaining that partnership outcomes can be of an “Academic”, “Marketing and Finance” or “Managerial” nature. Importantly, practical use of the model could be implemented using audit methods or benchmarking methods, whereby the categorised elements of the model are used as a criterion of assessment for audit teams.

Originality/value
The conclusion extracted experiential insights to provide guidance as to how higher education executives, managers and practitioners can make use of knowledge management behavioural constructs and activities to assist collaborative undertakings in the higher education sector. This paper provided a new, modified, knowledge management higher education partnership tree, thus giving researchers and academic practitioners a holistic viewpoint of important partnership knowledge management factors.
Personal-loyalty and pricing benefits from hairstylist-client commercial friendship
Authors: Pamacheche Rukudzo , Duh Helen Inseng 
Published: June 2021

Purpose
Hairstyling entrepreneurs are experiencing increasing customer demand alongside the market competition. Building commercial friendships are one of their strategies to beat the competition. However, the marketing benefits in terms of loyalty and pricing from this strategy are unknown. Following suggestions from the relationship marketing theory (RMT) that business benefits are gained from commercial friendships, this study aims to use ideas from RMT and those from models proposed by Bove and Johnson (2002) and Han et al. (2008) to examine the impact of hairstylist-client commercial friendship on four dimensions of personal loyalty to individual hairstylists and clients’ willingness to pay a premium price (WTPP).

Design/methodology/approach
Quantitative methods were used to collect and analyse data obtained from 562 hairstylists’ clients who had maintained the same hairstylist for 10 months in Johannesburg metropolis. Structural equation modelling using SmartPLS was used to test a conceptual model with eight hypotheses.

Findings
The results revealed that commercial friendship positively impacted affective, intention and behavioural personal loyalty dimensions and explained 49%, 47.9% and 46.9% of the variances, respectively. Of the four dimensions of personal loyalty, only behavioural loyalty positively influenced WTPP.

Originality/value
Unlike previous studies’ main focus on business-to-customer relationships and loyalty from a unidimensional perspective, this study contributes by revealing four dimensions of personal loyalty applicable in the haircare service sector. The findings confirm the business benefits suggested by the RMT, by showing that commercial friendship generates clients’ WTPP when they are behaviourally loyal. This guarantees profits and highlights the importance of nurturing close relationships in personal services.
Twitter content analysis of the Australian bushfires disaster 2019-2020: futures implications
Authors: Willson Gregory , Wilk Violetta , Sibson Ruth , Morgan Ashlee 
Published: June 2021

Purpose
This paper aims to explore the themes and nature of sentiment of Twitter content that discussed the Australian bushfire disaster 2019–2020 and its associated wildlife devastation, with considerations for the future of Australia’s tourism industry.

Design/methodology/approach
A large, qualitative data set consisting of all publicly available Twitter posts during the period of the Australian bushfires from December 2019 to March 2020 that mentioned the bushfires and wildlife are explored.

Findings
The devastation of wildlife through the Australian bushfire disaster elicited emotionally charged Twitter content from both Australian and overseas users. Positive sentiment focused on offering support to areas impacted by wildlife devastation. Negative sentiment concentrated on linking the Australian bushfires disaster to global discussions surrounding the climate emergency, and a perceived lack of political action.

Originality/value
Despite the intensity of media attention directed towards the Australian bushfires disaster 2019–2020, there has been little scholarly research exploring social media content specifically focused on the wildlife devastation and its association with, and implications for, the tourism industry.
Optimal project portfolio selection with reinvestment strategy considering sustainability in an uncertain environment: a multi-objective optimization approach
Authors: Zarjou Mohammadali , Khalilzadeh Mohammad 
Published: June 2021

PurposeThis study aims to develop a model for project portfolio selection considering organizational goals such as budgets, sustainability cash flow and reinvestment strategy under an uncertain environment.Design/methodology/approachA multi-objective mathematical programming model is proposed for project selection, which takes the social, environmental and financial aspects into account as the objectives of the project portfolio selection problem. The project evaluation and selection process in one of the large capitals in the Middle East with numerous urban construction projects was considered as a real case study, in which the subjects of environmental and social sustainability are of great importance. Then, the most significant criteria for project evaluation and selection based on sustainability were identified and ranked using the fuzzy best-worst method (BWM).FindingsThe criterion of “defining clear and real objectives” was ranked first, “project investment return period” was ranked second, “minimum changes in the predicted range” was ranked third, and the other ten sustainability indicators were ranked as well. Next, the presented mathematical programming model was solved using the augmented e-constraint method. The sensitivity analysis indicated that increasing the amount of investments in projects would increase their net present value. Also, increased investment had no effect on sustainability, while decreased investment caused sustainability to not being optimal.Originality/valueThis study focuses on the impact of the amount of investments on projects, and the associated costs of sustainable projects. Further to the authors' knowledge, there has been no relevant study taking uncertainty into account. Also, very few studies proposed a mathematical programming model for the project portfolio selection problem. Moreover, this research uses the brainstorming and Delphi method to identify the sustainability indicators influencing the organization and screens the evaluation indicators. Furthermore, the weights of the evaluation indicators are determined using the fuzzy BWM based on the consistency of opinions.
On facing one's students: The relevance of Emmanuel Levinas to teaching in times of Covid-19
Authors: Berenpas Martine 
Published: June 2021

AbstractIn this article I show the relevance of Emmanuel Levinas’ notion of primordial teaching for understanding why online teaching cannot adequately mimic face-to-face teaching. I will argue that the current Covid-19 pandemic shows us that being in the immediacy of the embodied presence of one's students is intimately intertwined with being responsive to the needs of students, which highlights that teaching is not only the transmission of intellectual knowledge and skills but first and foremost an ethical attunement to the suffering of the Other. Levinas argues that teaching is in its essence a relation between unique individuals; a uniqueness that originates in the individual's unconditional responsibility to each and every other human being. This unconditional responsibility is for Levinas the non-mediated embodied sensitivity to the needs of the Other; an openness that precedes freedom and the conscious choice of a person. In this article I claim this embodied sensitivity is jeopardised in online education, which makes it harder for the teacher to attune to the needs of every student. The risk we run is that the face of the Other remains ‘plastic’, which makes it more difficult for the teacher to attune to the specific needs of students. I will argue that online teaching should not only concentrate on enabling the transmission of knowledge but should also invest in creating an environment of intimacy that enables responsiveness and genuine contact.
Epidemiology of pregnant patients with major trauma in Victoria
Authors: Sato Nobuhiro , Cameron Peter , Thomson Benjamin NJ , Read David , McLellan Susan , Woodward Anthony , Beck Ben 
Published: June 2021

AbstractObjectiveTrauma is one of the most common contributors to maternal and foetal morbidity and mortality. The aim of the present study was to describe the characteristics and outcomes of major trauma in pregnant patients using a population‐based registry.MethodsRegistry‐based study using data from the Victorian State Trauma Registry (VSTR), a population‐based database of all hospitalised major trauma (death due to injury, Injury Severity Score [ISS] ≥12, admission to an intensive care unit [ICU] for more than 24 h and requiring mechanical ventilation for at least part of their ICU stay or urgent surgery) in Victoria, Australia, from 1 July 2007 to 30 June 2019. Pregnant patients with major trauma were identified on the VSTR. We summarised patient data using descriptive statistics.ResultsOver the 12‐year study period, there were 63 pregnant major trauma patients. Fifty‐two (82.5%) patients sustained injuries resulting from road transport collisions. The maternal survival rate was 98.4% and the foetal survival rate was 88.9%. Thoracic injury was the most common injury (25/63), followed by abdominal injury (23/63). Eighty‐six percent of the third trimester patients (19/22) were transported directly to a major trauma service with capacity for definitive care of the pregnancy.ConclusionThe present study demonstrated road transport injury was the most common mechanism of injury and both maternal survival rates and foetal survival rates were high. This information is essential for trauma care system planning and public health initiatives to improve the clinical management and outcomes of pregnant women with major trauma.
Aloe‐emodin‐mediated antimicrobial photodynamic therapy against dermatophytosis caused by Trichophyton rubrum
Authors: Ma Wenpeng , Zhang Miaomiao , Cui Zixin , Wang Xiaopeng , Niu Xinwu , Zhu Yanyan , Yao Zhihong , Ye Feng , Geng Songmei , Liu Chengcheng 
Published: June 2021

SummaryTrichophyton rubrum is responsible for the majority of dermatophytosis. Current systemic and topical antifungals against dermatophytosis are often tedious and sometimes unsatisfactory. Antimicrobial photodynamic therapy (aPDT) is a non‐invasive alternative suitable for the treatment of superficial fungal infections. This work investigated the photodynamic inactivation efficacy and effects of aloe‐emodin (AE), a natural photosensitizer (PS) against T. rubrum microconidia in vitro, and evaluated the treatment effects of AE‐mediated aPDT for T. rubrum‐caused tinea corporis in vivo and tinea unguium ex vivo. The photodynamic antimicrobial efficacy of AE on T. rubrum microconidia was evaluated by MTT assay. The inhibition effect of AE‐mediated aPDT on growth of T. rubrum was studied. Intracellular location of AE, damage induced by AE‐mediated aPDT on cellular structure and surface of microconidia and generation of intracellular ROS were investigated by microscopy and flow cytometry. The therapeutic effects of AE‐mediated aPDT against dermatophytosis were assessed in T. rubrum‐caused tinea corporis guinea pig model and tinea unguium ex vivo model. AE‐mediated aPDT effectively inactivated T. rubrum microconidia in a light energy dose‐dependent manner and exhibited strong inhibitory effect on growth of T. rubrum. Microscope images indicated that AE is mainly targeted to the organelles and caused damage to the cytoplasm of microconidia after irradiation through generation of abundant intracellular ROS. AE‐mediated aPDT demonstrated effective therapeutic effects for T. rubrum‐caused tinea corporis on guinea pig model and tinea unguium in ex vivo model. The results obtained suggest that AE is a potential PS for the photodynamic treatment of dermatophytosis caused by T. rubrum, but its permeability in skin and nails needs to be improved.
Development and validation of tumor‐to‐blood based nomograms for preoperative prediction of lymph node metastasis in lung cancer
Authors: Fu Yili , Xi Xiaoying , Tang Yanhua , Li Xin , Ye Xin , Hu Bin , Liu Yi 
Published: June 2021

AbstractBackgroundTo develop and validate tumor‐to‐blood based nomograms for preoperative prediction of lymph node (LN) metastasis in patients with lung cancer (LC).MethodsA prediction model was developed in a primary cohort comprising 330 LN stations from patients with pathologically confirmed LC, these data having been gathered from January 2016 to June 2019. Tumor‐to‐blood variables of LNs were calculated from positron emission tomography‐computed tomography (PET‐CT) images of LC and the short axis diameters of LNs were measured on CT images. Tumor‐to‐blood variables, number of stations suspected of harboring LN metastasis according to PET, and independent clinicopathological risk factors were included in the final nomograms. After being internally validated, the nomograms were used to assess an independent validation cohort containing 101 consecutive LN stations accumulated from July 2019 to March 2020.ResultsFour tumor‐to‐blood variables (left atrium, inferior vena cava, liver, and aortic arch) and the maximum standardized uptake value (SUVmax) for LNs were found to be significantly associated with LN status (p < 0.001 for both primary and validation cohorts). Five predictive nomograms were built. Of these, one with LN SUVmax/left atrium SUVmax was found to be optimal for predicting LN status with AUC 0.830 (95% confidence interval [CI]: 0.774–0.886) in the primary cohort and AUC 0.865 (95% CI: 0.782–0.948) in the validation cohort. All models showed good discrimination, with a modest C‐index, and good calibration in both primary and validation cohorts.ConclusionsWe have developed tumor‐to‐blood based nomograms that incorporate identified clinicopathological risk factors and facilitate preoperative prediction of LN metastasis in LC patients.
Sleep and substance use disorder treatment: A preliminary study of subjective and objective assessment of sleep during an intensive outpatient program
Authors: Wilkerson Allison K. , Simmons Richard O. , Sahlem Gregory L. , Taylor Daniel J. , Smith Joshua P. , Book Sarah W. , McRae‐Clark Aimee L. 
Published: June 2021

AbstractBackground and ObjectivesCharacteristics of sleep concerns and their relationship to mental health in heterogeneous substance use disorder (SUD) treatment settings are not well understood. The purpose of this preliminary study was to assess sleep using subjective and objective measures at two time points during SUD treatment and compare sleep changes to changes in mental health measures.MethodsTreatment‐seeking participants completed an assessment battery at the beginning of treatment (Time 1, N = 30) and again upon treatment completion (Time 2, approximately 4 weeks later, N = 22). The majority of participants were White (80%), male (63%), and presenting for alcohol use disorder (60.0%), though almost half reported polysubstance abuse (43%). Comorbidity was common (53%). Sleep and mental health questionnaires with 1 week of actigraphy and sleep diaries were completed at both time points.ResultsMost participants met the criteria for a sleep disorder and mean scores on questionnaires showed poor sleep quality, insomnia symptoms, and frequent nightmares, with sleep quality and insomnia improving over time but remaining clinically significant. Nightmares did not improve. Actigraphy indicated poor sleep at both time points. Improvement in insomnia was related to improvement in measures of mental health while changes in actigraphy variables were not related to these measures.Discussion and ConclusionsMultiple types of sleep disturbance are prevalent in this population, with nightmares persisting throughout treatment and insomnia symptoms showing a relationship with mental health symptoms.Scientific SignificanceThis was the first study to longitudinally assess mental health with subjective and objective measures of sleep across multiple types of SUDs in a community SUD treatment setting.
Ideological Asymmetries and the Determinants of Politically Motivated Reasoning
Authors: Guay Brian , Johnston Christopher D. 
Published: June 2021

AbstractA large literature demonstrates that conservatives have greater needs for certainty than liberals. This suggests an asymmetry hypothesis: Conservatives are less open to new information that conflicts with their political identity and, in turn, political accountability will be lower on the right than the left. However, recent work suggests that liberals and conservatives are equally prone to politically motivated reasoning (PMR). The present article confronts this puzzle. First, we identify significant limitations of extant studies evaluating the asymmetry hypothesis and deploy two national survey experiments to address them. Second, we provide the first direct test of the key theoretical claim underpinning the asymmetry hypothesis: epistemic needs for certainty promote PMR. We find little evidence for the asymmetry hypothesis. Importantly, however, we also find no evidence that epistemic needs promote PMR. That is, although conservatives report greater needs for certainty than liberals, these needs are not a major source of political bias.