bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of halal supply chain management on halal integrity assurance for the food industry in Malaysia
Authors: Mohamed Yusaini Hisham , Abdul Rahim Abdul Rahman , Ma'aram Azanizawati 
Published: July 2020

PurposeThe purpose of this study is to outline the results of the empirical testing in the field of halal food supply chain and halal integrity assurance (HIA), as well as to provide a research framework of their relationships.Design/methodology/approachThis study is based on the exploratory research paper using quantitative data collection to empirically experimented with concepts and provide practical solutions for halal industry players to optimize their halal food supply chain integrity assurance.FindingsThe findings show the halal supply chain of the food and beverage industry has a significant effect on HIA. The results also suggest the halal industry with a high focus on supply chain business processes and supply chain network structure are expected to have better HIA.Research limitations/implicationsAs this study only focuses on the halal industry in Malaysia specifically on food and beverages, its findings cannot be generalized to other categories. Issues of applicability of this study to other countries also need to be considered.Practical implicationsThis study addresses the assurance of halal integrity is a crucial element in managing a halal food supply chain in the halal industry. It has empirically identified the important elements to strengthen halal food supply chain integrity assurance in the halal industry.Social implicationsIt is important to manage knowledge, commitment and trust in any halal organization as a catalyst for HIA. This study presents a better understanding of the halal concept application in society.Originality/valueThere is a lack of empirical study on halal food supply chain integrity assurance even though the issue of HIA is widely discussed in the halal industry. Thus, this study has used an industry survey to empirically experimented with concepts and provide practical contributions to enhance halal food supply chain integrity assurance.
Exploring the best policy scenario plan for the dairy supply chain: a DEMATEL approach
Authors: Susanty Aries , Puspitasari Nia Budi , Prastawa Heru , Renaldi Stellya Veronica 
Published: July 2020

Purpose
This research primarily aims to find and analyse the interaction among success factors for improving the performance of Indonesia’s dairy milk supply chain. Further, this research aims to formulate the right policies for improving the performance of the chain based on the success factor that belongs to cause groups.

Design/methodology/approach
The paper analyses 10 success factors for improving the performance of the Indonesian dairy supply chain with the decision-making trial and evaluation laboratory (DEMATEL) method and analyses the Delphi method to formulate the right policies for improving performance.

Findings
There are four important influencing factors that directly impact the overall system, i.e. the number of dairy cattle import, national milk demand, the total number of dairy farmers and the number of dairy cattle ownership or herd size. Several alternative policies have been designed by several experts according to the influencing factors, i.e. the government assists in the procurement of imported cattle, provides financial assistance to farmers in the form of low-interest financing, improves the partnership system between farmers and dairy cooperatives, provides a reward system for the farmers and increases the level of formality of contract between the farmers and cooperatives.

Research limitations/implications
Interrelationships of each success factor and the most important influencing success factors could not be generally determined because it depends on the point of view of the experts. Future research can apply the success factors proposed by this research to the different dairy milk supply chain. Then, this research used only nine experts for formulating alternative policies. Future research may repeat this method using multiple experts to justify the validity of the research. Moreover, this research only explored 21 success factors of the increase in the performance of the Indonesian dairy supply chain. Future research should consider not only the supply side and number of dairy cattle but also several success factors from the causal relationship diagram in the broader dairy milk supply chain.

Practical implications
This research provides essential insights for policymakers, as they have to understand and evaluate the success factors before formulating several alternative policies.

Social implications
The research has revealed that the right alternative policies can be designed, as the causal factor has been known.

Originality/value
This research contributes to applying a combination of causal relationship diagram of System Dynamic and DEMATEL method as a qualitative and quantitative method in one integrated way through performance dairy supply chain analysis. As a result, this research draws a policy for the dairy supply chain referring to the success factor as a cause for the low performance of the Indonesian dairy supply chain.
The effect of workplace ostracism on knowledge sharing: the mediating role of organization-based self-esteem and organizational silence
Authors: Takhsha Mina , Barahimi Negar , Adelpanah Arash , Salehzadeh Reza 
Published: July 2020

Purpose
This study aims to evaluate the effect of workplace ostracism on organization-based self-esteem (OBSE), organizational silence and knowledge sharing.

Design/methodology/approach
The statistical population of this research includes the employees of University of Isfahan in Iran. The structural equation modeling method is used to analyze the data and the conceptual model using 130 participants.

Findings
The empirical results suggest that ostracism and organizational silence influence knowledge sharing, negatively. Ostracism influences organizational silence, positively; and ostracism influences OBSE, negatively. Furthermore, organization-based self-esteem influences knowledge sharing, positively. In addition, the indirect relationship from ostracism to knowledge sharing through organizational silence was confirmed; however, the mediating role of OBSE in the relationship between workplace ostracism and knowledge sharing was not confirmed.

Originality/value
This research is among the first to evaluate the relationship between workplace ostracism, knowledge sharing, organizational silence and OBSE simultaneously.
Alliance justice and relational performance: the mediating role of boundary spanners' citizenship behaviors
Authors: Bai Xuan , Li Julie Juan 
Published: July 2020

PurposeThe purpose of this paper is to examine the types of justice that affect knowledge acquisition and opportunism in strategic alliances and how these justice mechanisms function.Design/methodology/approachData were collected from both top-level and operating-level boundary spanners in 295 strategic alliances in China (a total of 590 boundary spanners). A structural equation model (SEM) with bias-corrected bootstrap method was used to test the hypotheses.FindingsThe results show that although both procedural justice and distributive justice are important in deterring opportunism, procedural justice is more effective at enhancing knowledge acquisition than distributive justice is. The results also demonstrate that boundary spanners' helping behaviors are more effective at fostering knowledge acquisition, whereas boundary spanners' voice behaviors have more impact on mitigating opportunism. In addition, boundary spanners' citizenship behaviors partially mediate the relationship between justice and interfirm-level performance.Originality/valueThis study adds a boundary-spanning lens to justice literature by uncovering the missing link between justice and alliance outcomes.
The limits to employee involvement? Employee participation without HRM in a small not-for-profit organisation
Authors: Philip Karen , Arrowsmith Jim 
Published: July 2020

PurposeThe strategic human resource management (HRM) literature emphasises the importance of employee involvement and participation for outcomes such as job satisfaction, employee retention and organisational performance. Situational factors identified as conducive to employee participation in decision-making include small size, via less hierarchical, proximate and informal workplace relations. Ownership and mission are also important, with not-for-profit (NFP) organisations generally having more collectivist, commitment-based cultures that support open decision-making. However, such organisations often have weak HRM policies and practices. This paper examines the process and outcomes of employee participation in a small NFP through in-depth case study research.Design/methodology/approachSingle case study utilising longitudinal participant observation, interviews, reflective diary, documentary analysis.FindingsOperating as a collective, the organisation was bound by time and capacity limitations in its ability to plan strategically or even to make routine decisions. Basic HR policies and practices in areas such as staff recruitment and performance management were sub-standard or unobserved. Consequences included poor management, inconsistent training, staff burnout, high labour turnover and sub-optimal performance. The results suggest that weak managerial coordination and the absence of a dedicated HR function subvert effective people management. In such circumstances, strong forms of employee participation fail to deliver anticipated equity and efficiency outcomes.Research limitations/implicationsSingle case study.Practical implicationsSmall organisations need HR policies and dedicated support to ensure that employee involvement and participation are effective.Originality/valueThe findings demonstrate how employee involvement and participation can be subverted by inadequate HR processes, adding qualitative evidence to support theories of HR “bundling” in high-involvement work practices. The research also contributes to the neglected area of HRM in small NFPs.
Annual report readability and trade credit
Authors: Xu Hongkang , Pham Trung H. , Dao Mai 
Published: July 2020

Purpose
The purpose of this study is to examine the influence of the readability of annual reports on firms’ ability to obtain trade credit from suppliers. Particularly, the authors conjecture that annual report readability helps firms obtain more trade credit from suppliers.

Design/methodology/approach
The authors use the Gunning Fog Index as the primary measure of annual report readability and the ratio of accounts payable to the book value of total assets as the measure of trade credit.

Findings
Results from the study of 4,754 firms during the 2004–2016 period indicate that suppliers extend more trade credit to firms with more readable financial reports. The authors’ results are robust to alternative measures of trade credit and annual report readability. The authors’ results remain robust when we control for firm fixed effects and potential endogeneity problems using the instrumental variable approach. A further test shows that the level of trade credit is higher for firms in business service industries, and that this relation is weakened when firms disclose less readable 10-K filings.

Originality/value
The authors’ findings provide new insight into the role of financial report readability in firms’ ability to obtain trade financing from suppliers. The authors’ results are also in line with the SEC’s encouragement that firms use plain English and easy language in financial reporting.
The Role of the Common Agricultural Policy in Enhancing Farm Income: A Dynamic Panel Analysis Accounting for Farm Size in Italy
Authors: Biagini Luigi , Antonioli Federico , Severini Simone 
Published: July 2020

AbstractAs a multi‐objective policy, the EU Common Agricultural Policy continues to secure significant income support for farmers as one of the nine specific objectives. We estimate the income transfer efficiency of a broad set of pivotal policy measures, focusing on the effects of farm structure on income transfer efficiency. We use dynamic modelling, based on a micro‐data panel of Italian farms for the period 2008–2014, allowing for endogeneity, simultaneity bias, and omitted variables. In line with previous studies and economic expectations, we find that decoupled direct payments provide the highest contribution to agricultural incomes, followed by agri‐environmental payments and on‐farm investment subsidies. Coupled payments have no significant impacts on farmers’ income. Generally, for all analysed Common Agricultural Policy measures, large farms benefit from greater transfer efficiency levels compared with medium and small farms. These differences among instruments and across farms suggest that policy‐participation costs may play a pivotal role, together with the economic structure of farms, in determining the income transfer efficiency of CAP policies.
Antibiotic resistance and biofilm formation ability of Salmonella serotypes isolated from beef, mutton, and meat contact surfaces at retail
Authors: Manafi Leila , Aliakbarlu Javad , Dastmalchi Saei Habib 
Published: July 2020

AbstractIn this study, Salmonella isolates recovered from meat (beef and mutton) and meat contact surfaces at retail were investigated to determine their serotype, antibiotic resistance, and biofilm formation ability. Salmonella was found in 29 (24.17%) samples out of 120 samples including 14/50 (28%) of beef, 10/40 (25%) of mutton, and 5/30 (16.67%) of meat contact surfaces. Seven isolates were identified as S. Enteritidis, three as S. Typhimurium, and two as S. Typhi, while the rest of the isolates were considered as other Salmonella spp. All of the isolates were resistant to at least one antimicrobial agent and 48.27% of them were identified as multidrug‐resistant (MDR) Salmonella. All (100%) of meat contact surfaces isolates, 42.8% of beef isolates, and 30% of mutton isolates were found to be MDR Salmonella. Resistance to nalidixic acid (100%), tetracycline (79.3%), and sulphamethoxazole/trimethoprim (44.8%) were observed. The gyrA gene was detected in 19 of 29 isolates, but tetA was found in one isolate. All of the serotypes were able to form biofilm (75.86 % moderate and 24.14 % strong) and S. Enteritidis was the strongest biofilm producer. The findings indicated that the majority of Salmonella isolates in this study were MDR and biofilm producer. Then, safety measures such as cleaning and disinfection must be taken to control Salmonella and promote public health.Practical ApplicationThe present study provides useful information on the prevalence of Salmonella serotypes in meat and meat contact surfaces and their antibiotic resistance patterns as well as biofilm formation capacities. Improving hygiene practices in livestock, slaughterhouses, and at retails may reduce the risk of meat contamination to Salmonella. Meanwhile, high levels of antibiotic resistance in Salmonella isolates emphasized on the improper use of antibiotics.
Association of circulating galectin‐3 with gestational diabetes mellitus, progesterone, and insulin resistance
Authors: Zhang Zeqing , Kang Xuehui , Guo Yaming , Zhang Jianhua , Xie Junhui , Shao Shiying , Xiang Ying , Chen Gang , Yu Xuefeng 
Published: July 2020

AbstractBackground/ObjectiveBecause galectin‐3 has been proposed to regulate obesity and insulin resistance in mice, we hypothesized that circulating galectin‐3 levels are associated with presence of gestational diabetes mellitus (GDM), progesterone, and insulin resistance.MethodsCirculating galectin‐3 levels were measured using an enzyme‐linked immunosorbent assay (ELISA) in women with GDM (n = 137) and their controls (n = 81). Associations of galectin‐3 and progesterone with GDM and insulin resistance were evaluated using regression models.ResultsCirculating galectin‐3 levels were increased in the individuals with GDM (P < .001) and associated significantly with progesterone (r = 0.42,P < .001), gestational age at sampling (r = 0.23,P < .001), current body mass index (BMI; r = 0.17,P= .02), estrogen (r = 0.15,P < .03), fasting glucose (r = 0.41,P < .001), fasting insulin (r = 0.39,P < .001), and homeostasis model assessment of insulin resistance (HOMA‐IR; r = 0.44,P < .001). After adjustment for potential confounders, including current BMI, subjects in the highest tertile of galectin‐3 levels were more likely to have GDM (odds ratio 4.71, 95% confidence interval 2.01‐11.06) as compared with the lowest tertile. The association between circulating galectin‐3 levels and GDM remained significant after adjusting for progesterone, but significantly attenuated after adjustment with HOMA‐IR. Furthermore, the multiple linear regression analyses after adjustment for confounders showed an independent association between galectin‐3 levels and HOMA‐IR (β = .41,P < .001), suggesting that association of circulating gelactin‐3 levels with GDM might be mediated via insulin resistance. Progesterone demonstrated the expected associations with galectin‐3, GDM, and HOMA‐IR.ConclusionsCirculating galectin‐3 levels are associated with GDM possibly through increased insulin resistance. The association of galectin‐3 with progesterone highlights a potential role of progesterone in its interaction with galectin‐3.
The Infant Scalp Score: A Validated Tool to Stratify Risk of Traumatic Brain Injury in Infants With Isolated Scalp Hematoma
Authors: Schutzman Sara A. , Nigrovic Lise E. , Mannix Rebekah 
Published: July 2020

AbstractObjectivesThe objective was to validate the previously derived Infant Scalp Score (ISS) that uses clinical signs in infants with isolated scalp hematoma (ISH) after head trauma to stratify risk for clinically important traumatic brain injury (ciTBI) or TBI on computed tomography (CT).MethodsUsing the publicly available Pediatric Emergency Care Applied Research Network TBI data set, we selected infants ≤ 1 year with GCS 14 to 15 who had ISH (defined as hematoma without other signs/symptoms of TBI). CT scans were obtained at the treating physician’s discretion. We calculated ISS based on age, hematoma size, and location (range = 0–8) for each patient and calculated the sensitivity and specificity of the score for ciTBI and TBI on CT across a range of ISS cut‐points.ResultsWe included 1,289 infants ≤ 1 year of whom 462 (36%) had CT performed. Twelve had ciTBI and 59 had TBI on CT. An ISS cutoff ≥ 4 had sensitivity of 100% for ciTBI (95% confidence interval [CI] = 0.74 to 1.0) and TBI with specificity of 0.49 (95% CI = 0.46 to 0.51). An ISS cutoff of ≥5 had a sensitivity of 100% for ciTBI (95% CI = 0.74 to 1.0) and specificity of 0.68 (95% CI = 0.66 to 0.71), but missed three infants with TBI on CT (none of whom required intervention). The receiver operating characteristic curves for clinical score to detect ciTBI and TBI had areas under the curve of 0.916 and 0.807, respectively.ConclusionsThe ISS accurately stratified risk for ciTBI and TBI on CT in infants with ISH and is a useful tool to help guide clinical decision making.
Detecting changes in task length due to task‐switching in the presence of repeated length‐biased sampling
Authors: Walter Scott R. , Brown Bruce M. , Dunsmuir William T.M. 
Published: July 2020

SummaryClinical work is characterised by frequent interjection of external prompts causing clinicians to switch from a primary task to deal with an incoming secondary task, a phenomenon associated with negative effects in experimental studies. This is an important yet underexplored aspect of work in safety critical settings in general, since an increase in task length due to task‐switching implies reduced efficiency, while decreased length suggests hastening to compensate for the increased workload brought by the unexpected secondary tasks, which is a potential safety issue. In such observational settings, longer tasks are naturally more likely to have one or more task‐switching events: a form of length bias. To assess the effect of task‐switching on task completion time, it is necessary to estimate counterfactual task lengths had they not experienced any task‐switching, while also accounting for length bias. This is a problem that appears simple at first, but has several counterintuitive considerations resulting in a uniquely constrained solution space. We review the only existing method based on an assumption that task‐switches occur according to a homogeneous Poisson process. We propose significant extensions to flexibly incorporate heterogeneity that is more representative of task‐switching in real‐world contexts. The techniques are applied to observations of emergency physicians’ workflow in two hospital settings.
Approximate Bayesian inference for case‐crossover models
Authors: Stringer Alex , Brown Patrick , Stafford Jamie 
Published: July 2020

AbstractA case‐crossover analysis is used as a simple but powerful tool for estimating the effect of short‐term environmental factors such as extreme temperatures or poor air quality on mortality. The environment on the day of each death is compared to the one or more “control days” in previous weeks, and higher levels of exposure on death days than control days provide evidence of an effect. Current state‐of‐the‐art methodology and software (integrated nested Laplace approximation [INLA]) cannot be used to fit the most flexible case‐crossover models to large datasets, because the likelihood for case‐crossover models cannot be expressed in a manner compatible with this methodology. In this paper, we develop a flexible and scalable modeling framework for case‐crossover models with linear and semiparametric effects which retains the flexibility and computational advantages of INLA. We apply our method to quantify nonlinear associations between mortality and extreme temperatures in India. An R package implementing our methods is publicly available.
COVID-19 vaccine-readiness for anti-CD20-depleting therapy in autoimmune diseases
Authors: Baker D , Roberts C A K , Pryce G , Kang A S , Marta M , Reyes S , Schmierer K , Giovannoni G , Amor S 
Published: July 2020

Summary
Although most autoimmune diseases are considered to be CD4 T cell- or antibody-mediated, many respond to CD20-depleting antibodies that have limited influence on CD4 and plasma cells. This includes rituximab, oblinutuzumab and ofatumumab that are used in cancer, rheumatoid arthritis and off-label in a large number of other autoimmunities and ocrelizumab in multiple sclerosis. Recently, the COVID-19 pandemic created concerns about immunosuppression in autoimmunity, leading to cessation or a delay in immunotherapy treatments. However, based on the known and emerging biology of autoimmunity and COVID-19, it was hypothesised that while B cell depletion should not necessarily expose people to severe SARS-CoV-2-related issues, it may inhibit protective immunity following infection and vaccination. As such, drug-induced B cell subset inhibition, that controls at least some autoimmunities, would not influence innate and CD8 T cell responses, which are central to SARS-CoV-2 elimination, nor the hypercoagulation and innate inflammation causing severe morbidity. This is supported clinically, as the majority of SARS-CoV-2-infected, CD20-depleted people with autoimmunity have recovered. However, protective neutralizing antibody and vaccination responses are predicted to be blunted until naive B cells repopulate, based on B cell repopulation kinetics and vaccination responses, from published rituximab and unpublished ocrelizumab (NCT00676715, NCT02545868) trial data, shown here. This suggests that it may be possible to undertake dose interruption to maintain inflammatory disease control, while allowing effective vaccination against SARS-CoV-29, if and when an effective vaccine is available.