scholarly journals The impact of factors on information sharing: An application of meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260653
Author(s):  
Chau Thi Diem Le ◽  
Miklós Pakurár ◽  
István András Kun ◽  
Judit Oláh
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Meta Analysis ◽  
Random Effect ◽  
Rank Correlation ◽  
Correlation Coefficients ◽  
Fixed Effect ◽  
Factors Affecting ◽  
Potential Factors ◽  
The Impact

Background Information sharing plays a key role in supply chain performance. According to previous individual studies, technology, trust, commitment, and uncertainty are four potential factors affecting information sharing. However, most studies focus on testing a positive relationship between each factor and information sharing. Therefore, it is necessary to evaluate the effect of each factor on information sharing. Objective To determine the accurate effect of factors on sharing information and propose key factors to support decision-makers in improving their information sharing. Data Correlation coefficients between factors are collected from 41 individual studies with a total of 8,983 samples on Google Scholar Methods Using the rank correlation test and Egger’s regression test to test publication bias. The meta-analysis method is used to perform analysis models, including fixed-effect, random-effect, and Hunter and Schmidt methods Results Commitment plays the most important role in information sharing when compared to technology, trust, and uncertainty. Commitment accounts for 19% in the Hunter and Schmidt method and 22% in both fixed-effect and random-effect models. In addition, the result indicates that there are around 50% of other factors that affect the efficiency of sharing information besides four factors in our studies. Conclusion Technology, trust, and commitment significantly affect information sharing, of which the impact of commitment on information sharing is strongest and should be a priority in improving the effectiveness of information sharing. Our study contributes two findings to literature in the field of supply chain information sharing: 1) certain confirming the important role of commitment on sharing information, and 2) the necessity of considering other factors besides these four elements.

The impact of information sharing on ordering policies to improve supply chain performances

2015 ◽  
Vol 82 ◽  
pp. 127-142 ◽  
Author(s):  
Francesco Costantino ◽  
Giulio Di Gravio ◽  
Ahmed Shaban ◽  
Massimo Tronci
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Ordering Policies ◽  
The Impact ◽  
Improve Supply Chain

Factors affecting the amplitude of the τ angle in proteins: a revisitation

2017 ◽  
Vol 73 (7) ◽  
pp. 618-625 ◽  
Author(s):  
Nicole Balasco ◽  
Luciana Esposito ◽  
Luigi Vitagliano
Keyword(s):  
Protein Structures ◽  
Factors Affecting ◽  
X Ray ◽  
Backbone Conformation ◽  
Potential Factors ◽  
The Stability ◽  
Major Factors ◽  
The Impact ◽  
Open Issues

The protein folded state is the result of the fine balance of a variety of different forces. Even minor structural perturbations may have a significant impact on the stability of these macromolecules. Studies carried out in recent decades have led to the convergent view that proteins are endowed with a flexible spine. One of the open issues related to protein local backbone geometry is the identification of the factors that influence the amplitude of the τ (N—Cα—C) angle. Here, statistical analyses performed on an updated ensemble of X-ray protein structures by dissecting the contribution of the major factors that can potentially influence the local backbone geometry of proteins are reported. The data clearly indicate that the local backbone conformation has a prominent impact on the modulation of the τ angle. Therefore, a proper assessment of the impact of the other potential factors can only be appropriately evaluated when small (φ, ψ) regions are considered. Here, it is shown that when the contribution of the backbone conformation is removed by considering small (φ, ψ) areas, an impact of secondary structure, as defined byDSSP, and/or the residue type on τ is still detectable, although to a limited extent. Indeed, distinct τ-value distributions are detected for Pro/Gly and β-branched (Ile/Val) residues. The key role of the local backbone conformation highlighted here supports the use of variable local backbone geometry in protein refinement protocols.

MODELING THE IMPACT OF PARTIAL INFORMATION SHARING IN A THREE-ECHELON SUPPLY CHAIN

2013 ◽  
Vol 30 (05) ◽  
pp. 1350020 ◽  
Author(s):  
ZHUPING LIU ◽  
QIUHONG ZHAO ◽  
SHOUYANG WANG ◽  
JIANMING SHI
Keyword(s):  
Supply Chain ◽  
Numerical Analysis ◽  
Information Sharing ◽  
Partial Information ◽  
Autoregressive Coefficient ◽  
The Impact

This paper investigates the impact of partial information sharing in a three-echelon supply chain. Partial information sharing means that information sharing occurs only between the distributor and the retailer, but not between the distributor and the manufacturer. This paper contributes to the literature by summarizing the circumstances in which information sharing between the retailer and the distributor benefits the manufacturer. In addition, our study points out that such information sharing does not always bring benefits to the manufacturer and that in some cases the information sharing may harm the manufacturer. We explain the reasons why this can happen and give managerial intuition for our results. Using numerical analysis, we illustrate the impact of partial information sharing on the agents in the supply chain with the change of the autoregressive coefficient in the demand process.

scholarly journals Comparative efficacy between ketamine, memantine, riluzole and d-cycloserine in patients diagnosed with drug resistant depression: a meta-analysis

2019 ◽  
Vol 8 (6) ◽  
pp. 1132
Author(s):  
Nishita H. Darji ◽  
Devang A. Rana ◽  
Supriya D. Malhotra
Keyword(s):  
Rating Scale ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect ◽  
P Value ◽  
Drug Resistant ◽  
Effect Model ◽  
Resistant Depression ◽  
Glutamate Modulators

Background: Glutamate modulators are having immense potential and are newer entities for treating drug resistant depression. The objectives were to generate statistical evidence on basis of existing data of ketamine, memantine, riluzole and d-cycloserine in resistant depression.Methods: A total of 14 RCTs following PRISMA guidelines and matching inclusion and exclusion criteria were collected of ketamine (5), memantine (3), riluzole (2) and d-cycloserine (4) vs placebo in drug resistant depression. Only RCTs with primary diagnosis of drug resistant depression (Previously on two standard antidepressant therapy) were included. Studies with treatment response rate, 50% reduction in total score of the depression rating scale-Montgomery-Åsberg Depression Rating Scale or the Hamilton Depression Rating Scale or Beck Depression Inventory was chosen as clinical outcome measure. RevMan 5.3 software was used for the analysis.Results: In ketamine group using random effect model SMD was 2.122 (95% CI 0.659-3.584). P-value was statistically significant (random effect p <0.005 and in fixed effect <0.001). In memantine group, using random effect model -0.963 was SMD and (95% CI -1.958-0.0324). P-value was <0.001, significant in fixed effect. In riluzole group, SMD was -0.564 with (95% CI -3.927-2.799) in random effect. P-value was 0.741. In d-cycloserine group SMD was 0.316 with (95% CI -1.252-1.885) in random effect. P-value was 0.690.Conclusions: Ketamine showed best efficacy followed by memantine. Riluzole and DCS as such have no efficacy although its acts by same glutamate pathway. More molecular based research is required in use of glutamate modulators in resistant depression.

scholarly journals Pricing Strategies of Multichannel Apparel Supply Chain Based on Showrooming and Information Sharing

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Shanshan Wang ◽  
Tian Luo ◽  
Daofang Chang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Forecast Error ◽  
Forecast Accuracy ◽  
Service Level ◽  
Clothing Industry ◽  
Pricing Strategies ◽  
Information Barriers ◽  
The Impact ◽  
Share Information

This paper examines the influence of information forecast accuracy on the profits of the supply chain under the circumstance of a multichannel apparel supply chain. Due to the emergence of multichannel, customer showrooming behavior is becoming increasingly prevalent. For example, consumers usually buy garments online after experiencing the service in the traditional bricks and mortar in the clothing industry. Meanwhile, there are often information barriers between the manufacturer and the retailer, which will affect enterprise decision-making. To solve these problems, this paper mainly investigates the information sharing and customer showrooming phenomenon, which includes four models: no information sharing without showrooming model (NN), information sharing without showrooming model (SN), no information sharing with showrooming model (NS), and information sharing with showrooming model (SS). The numerical analysis shows that under the impact of the forecast error, information sharing between channel members is more favorable than no information sharing when parameters satisfy certain conditions. From the perspectives of the retailer, the manufacturer, and the whole supply chain, customer showrooming behavior will bring them less profit. These conclusions mean that the retailer should share information with the manufacturer and adjust their service level and sales price to alleviate the effect of showrooming.

scholarly journals Simulation Research on Information-Sharing Value of Two-Level Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaheng Zhang ◽  
Zekai Lin ◽  
Lin Xiao
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Information Sharing ◽  
Chain Model ◽  
Simulation Research ◽  
Incentive Effect ◽  
Actual Evaluation ◽  
Demand Information ◽  
And Performance ◽  
The Impact

In the two-stage supply chain model, the incentive effect to the supplier’s sharing of demand information and performance evaluation and the effect of various parameters on the incentive effect of the supply chain are studied through a multiagent simulation model constructed for the purpose. It is found that the incentive coefficient of demand information-sharing degree, the number of selected suppliers, the order allocation coefficient, and the order proportion are positively related to the incentive effect of demand information sharing. So, the greater the demand information sharing is, the greater the impact of these parameters on the incentive effect is. Based on the demand information sharing, the supplier performance evaluation rules are shared, and when the actual evaluation rules are inconsistent with the supplier’s expectations, the incentive effect is further enhanced. Other parameters do not affect the incentive effect of demand information sharing and performance evaluation rule sharing.

scholarly journals The impact of leptomeningeal collaterals in acute ischemic stroke

2020 ◽  
Author(s):  
Nida Fatima ◽  
Maher Saqqur ◽  
Ashfaq Shuaib
Keyword(s):  
Blood Flow ◽  
Ischemic Stroke ◽  
Clinical Outcome ◽  
Acute Ischemic Stroke ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Mesh Terms ◽  
Favorable Clinical Outcome ◽  
The Impact

Abstract Objectives: Leptomeningeal collaterals provide an alternate pathway to maintain cerebral blood flow in stroke to prevent ischemia, but their role in predicting outcome is still unclear. So, our study aims at assessing the significance of collateral blood flow (CBF) in acute stroke. Methods: Electronic databases were searched under different MeSH terms from Jan 2000 to Feb 2019. Studies were included if there was available data on good and poor CBF in acute ischemic stroke (AIS). The clinical outcomes included were modified rankin scale (mRS), recanalization, mortality, and symptomatic intracranial hemorrhage (sICH) at 90 days. Data was analyzed using random-effect model.Results: A total of 47 studies with 8,194 patients were included. Pooled meta-analysis revealed that there exist 2-fold higher likelihood of favorable clinical outcome (mRS≤2) at 90 days with good CBF compared with poor CBF (RR: 2.27; 95%CI: 1.94-2.65; p<0.00001) irrespective of the thrombolytic therapy [RR with IVT: 2.90; 95%CI: 2.14-3.94; p<0.00001, and RR with IAT/EVT: 1.99; 95% CI: 1.55-2.55; p<0.00001]. Moreover, there exists 1-fold higher probability of successful recanalization with good CBF (RR: 1.31; 95% CI: 1.15-1.49; p<0.00001). However, there was 54% and 64% lower risk of sICH and mortality respectively in patients with good CBF in AIS (p<0.00001).Conclusions: The relative risk of favorable clinical outcome is more in patients with good pretreatment CBF. This could be explained due to better chances of recanalization, combined with lesser risk of intracerebral hemorrhage in good CBF status.

scholarly journals A systematic review and meta-analysis reveal that Campylobacter spp. and antibiotic resistance are widespread in humans in sub-Saharan Africa

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245951
Author(s):  
Delfina F. Hlashwayo ◽  
Betuel Sigaúque ◽  
Emília V. Noormahomed ◽  
Sónia M. S. Afonso ◽  
Inácio M. Mandomando ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Meta Analysis ◽  
Random Effect ◽  
Research Priorities ◽  
Sub Saharan Africa ◽  
Cochrane Library ◽  
African Countries ◽  
Pooled Prevalence ◽  
Sub Saharan ◽  
The Impact

Introduction Campylobacter spp. are zoonotic bacteria that cause gastroenteritis in humans worldwide, whose main symptom is diarrhea. In certain cases, extra intestinal manifestations may occur, such as Guillain Barré syndrome. The bacteria cause severe diarrhea mostly in children and in immunocompromised individuals. This review aims to address the prevalence of Campylobacter spp. in humans in sub-Saharan Africa. It also aims to understand the impact of HIV in the prevalence, as well as to report data on antibiotic resistance and propose research priorities. Methods We followed PRISMA guidelines to find studies on the occurrence of Campylobacter spp. in humans in all countries from sub-Saharan Africa. Studies published between 2000 and 2020 were searched in PubMed, Cochrane Library, CINAHL, African Index Medicus, African Journals Online, Google Scholar and Science Direct. We have conducted a random-effect meta-analysis and calculated the proportion of resistant isolates to different antibiotics. Results and discussion We found 77 studies that described such occurrence in humans in 20 out of 53 sub-Saharan African countries. Campylobacter jejuni was the most prevalent species. Pooled prevalence was 9.9% (CI: 8.4%–11.6%). No major variations within the different sub-regions were found. Most studies reported Campylobacter spp. as the cause of diarrhea, mainly in children. Some studies reported the bacteria as a possible etiologic agent of acute flaccid paralysis and urinary tract infection. Campylobacter spp. presented a higher pooled prevalence in HIV infected patients, although not statistically significant. High proportions of resistant strains were reported for many antibiotics, including erythromycin and tetracycline. Conclusion Campylobacter spp. occur in sub-Saharan Africa, although information is scarce or inexistent for many countries. Research priorities should include investigation of the understudied species; extra intestinal manifestations; the impact of HIV infection and associated risk factors. Control strategies should be reinforced to contain the spread of this pathogen and drug resistance.

COMPARATIVE META-ANALYTIC EVALUATION OF THE IMPACT OF SUPPLY CHAIN INTEGRATION ON PERFORMANCE: A DETAILED PERSPECTIVE OF MODERATOR AND MEDIATOR ANALYSIS

2021 ◽  
Vol 1 (1) ◽  
pp. 43-69
Author(s):  
Augustine Castro Singine ◽  
Mustafa Cahid Ungan
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Meta Analysis ◽  
Mediation Effect ◽  
Customer Integration ◽  
Relational Integration ◽  
Mediator Analysis ◽  
Overall Performance ◽  
And Performance ◽  
The Impact

In an environment with ever changing customers’ needs and intensifying global competition, quality processes and supply chain (SC) are critical for organisational success. To satisfy customers, outsmart competition and improve performance, contemporary organisations are trying to improve on their processes through integrated supply chains. In an attempt to address this question and effectively contribute to this topic, a comparative meta- analytical evaluation along with key moderator and mediator analysis was conducted. In the lens of many theories, SCI from two perspectives; SCID (internal, suppliers, customer integration) with 67 studies and SCIF (information, operational, relational integration) with 25 studies was assessed on overall performance as well as on both operational and business performance. A quantitative meta-analysis based on Hunter and Schmidt (2004) which was performed through Jamovi, revealed the following: The meta-analysis results which were obtained through Jamovi provided significant correlation coefficients for SCID and SCIF respectively (ř = .476, p <.002) and (ř =.508, p <.001). Therefore, indicating that the association between SCID and performance is medium and positive, while that of SCIF and performance is positive and large. This is a clear indication that SCI from the perspective of SCID and SCIF yields different results, with SCIF having a relatively large effect. Moreover, on average SCIF both at aggregate and individual level has a slightly large effect on performance than SCID. Operational performance was the most influenced by SCID and SCIF, although operational and relational integration indicated a significant larger effect on business performance. Thus, individual SCID and SCIF constructs have different effects on business and operational as overall performance. All moderators though with different levels of interactions indicated a significant effect on both SCID and SCIF. Of the three mediators tested, customer integration had a 32% negative effect, SC agility showed an 89.1% full mediation effect with flexibility indicating a 53% significant effect.

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