scholarly journals Direct evidence for increased disease resistance in polyandrous broods exists only in eusocial Hymenoptera

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
D. M. Soper ◽  
A. K. E. Ekroth ◽  
M. J. F. Martins
Keyword(s):  
Genetic Diversity ◽  
Disease Resistance ◽  
Literature Review ◽  
Publication Bias ◽  
Direct Evidence ◽  
Parasite Load ◽  
Parasite Prevalence ◽  
Future Research ◽  
High Dispersal ◽  
Meta Analyses

Abstract Background The ‘genetic diversity’ hypothesis posits that polyandry evolved as a mechanism to increase genetic diversity within broods. One extension of this hypothesis is the ‘genetic diversity for disease resistance’ hypothesis (GDDRH). Originally designed for eusocial Hymenoptera, GDDRH states that polyandry will evolve as an effect of lower parasite prevalence in genetically variable broods. However, this hypothesis has been broadly applied to several other taxa. It is unclear how much empirical evidence supports GDDRH specifically, especially outside eusocial Hymenoptera. Results This question was addressed by conducting a literature review and posteriorly conducting meta-analyses on the data available using Hedges’s g. The literature review found 10 direct and 32 indirect studies with both having a strong publication bias towards Hymenoptera. Two meta-analyses were conducted and both found increased polyandry (direct tests; n = 8, g = 0.2283, p =  < 0.0001) and genetic diversity generated by other mechanisms (indirect tests; n = 10, g = 0.21, p =  < 0.0001) reduced parasite load. A subsequent moderator analysis revealed that there were no differences among Orders, indicating there may be applicability outside of Hymenoptera. However, due to publication bias and low sample size we must exercise caution with these results. Conclusion Despite the fact that the GDDRH was developed for Hymenoptera, it is frequently applied to other taxa. This study highlights the low amount of direct evidence supporting GDDRH, particularly outside of eusocial Hymenoptera. It calls for future research to address species that have high dispersal rates and contain mixes of solitary and communal nesting.

scholarly journals Comparing Bayesian Posterior Passing with Meta-analysis

2020 ◽  
Author(s):  
Joshua Pritsker
Keyword(s):  
Publication Bias ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Future Research ◽  
Meta Analyses

Brand, von der Post, Ounsley, and Morgan (2019) introduced Bayesian posterior passing as an alternative to traditional meta-analyses. In this commentary I relate their procedure to traditional meta-analysis, showing that posterior passing is equivalent to fixed effects meta-analysis. To overcome the limitations of simple posterior passing, I introduce improved posterior passing methods to account for heterogeneity and publication bias. Additionally, practical limitations of posterior passing and the role that it can play in future research are discussed.

scholarly journals Industry 4.0 Readiness Models: A Systematic Literature Review of Model Dimensions

Information ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 364
Author(s):  
Mohd Hizam-Hanafiah ◽  
Mansoor Ahmed Soomro ◽  
Nor Liza Abdullah
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Future Research ◽  
Technology Readiness ◽  
Leadership Process ◽  
Unique Model ◽  
Analysis Strategy ◽  
Meta Analyses

It is critical for organizations to self-assess their Industry 4.0 readiness to survive and thrive in the age of the Fourth Industrial Revolution. Thereon, conceptualization or development of an Industry 4.0 readiness model with the fundamental model dimensions is needed. This paper used a systematic literature review (SLR) methodology with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and content analysis strategy to review 97 papers in peer-reviewed academic journals and industry reports published from 2000 to 2019. The review identifies 30 Industry 4.0 readiness models with 158 unique model dimensions. Based on this review, there are two theoretical contributions. First, this paper proposes six dimensions (Technology, People, Strategy, Leadership, Process and Innovation) that can be considered as the most important dimensions for organizations. Second, this review reveals that 70 (44%) out of total 158 total unique dimensions on Industry 4.0 pertain to the assessment of technology alone. This establishes that organizations need to largely improve on their technology readiness, to strengthen their Industry 4.0 readiness. In summary, these six most common dimensions, and in particular, the dominance of the technology dimension provides a research agenda for future research on Industry 4.0 readiness.

A systematic literature review on personality traits in social entrepreneurship

2021 ◽  
Vol 11 (2) ◽  
pp. 172-189
Author(s):  
Phan Tan Luc
Keyword(s):  
Literature Review ◽  
Personality Traits ◽  
Systematic Literature Review ◽  
Social Entrepreneurship ◽  
Entrepreneurial Intention ◽  
Future Research ◽  
Social Entrepreneurs ◽  
Future Research Directions ◽  
Systematic Understanding ◽  
Meta Analyses

The purpose of this study is to provide a systematic literature review on personality trait research in social entrepreneurship, clarify the prevailing research categories and research themes, and suggest potential future research directions. The review process follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A total of 60 publications in the research topic from Web of Science and Scopus were analyzed. This study identifies four main categories in studies of personality traits in social entrepreneurship: ‘comparison of personality traits,’ ‘description of personality traits of social entrepreneurs,’ ‘personality traits and social entrepreneurial intention,’ and ‘personality traits and other factors.’ In addition, the themes in each category are also determined and several research gaps deserving of future investigation are recognized. Policymakers and educators gain a deeper understanding of personality traits in social entrepreneurship to have policies that trigger a change in social entrepreneurship education by cultivating personality traits towards sustainable development. This study classifies publications related to personality traits in social entrepreneurship and provides a guide for researchers by providing a systematic understanding of the research structure in this topic.

scholarly journals Chocolate Consumption and Purchasing Behaviour Review: Research Issues and Insights for Future Research

2020 ◽  
Vol 12 (14) ◽  
pp. 5586
Author(s):  
Margherita Del Prete ◽  
Antonella Samoggia
Keyword(s):  
Literature Review ◽  
Methodological Approach ◽  
Point Of View ◽  
Flow Diagram ◽  
Future Research ◽  
Market Demand ◽  
Research Issues ◽  
Purchasing Behaviour ◽  
Socio Demographic Factors ◽  
Meta Analyses

Chocolate is consumed all over the world. Since its origin, it has undergone many transformations to meet changing market demand. A better understanding of consumer behaviour is a key objective of any business, and so it is for chocolate businesses. In order to fulfil this aim, the current study presents a systematic literature review of consumers’ consumption and purchasing behaviour towards cocoa and chocolate. Two databases have been used to collect the literature: Scopus and Web of Science. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram was used to identify the articles through the process of data screening and extractions. A total of sixty-four scientific articles have been selected. Research topics, methodological approach and data collection method were identified for each article selected. Then, the identified topics were grouped into four categories in order to obtain a model of major determinants in chocolate consumption: personal preferences, product attributes, socio-demographic factors and economic attributes. Results show that there is a strong focus on Fair Trade in chocolate. Moreover, the current literature review supports the fact that the price and promotion are under-investigated issues. This research represents a valuable tool, especially from a marketing point of view, by creating new channels and new sales opportunities for chocolate products.

scholarly journals A SYSTEMATIC LITERATURE REVIEW OF SOCIAL NETWORK ANALYSIS IN TOURISM FLOWS

2021 ◽  
Vol 6 (26) ◽  
pp. 143-154
Author(s):  
Pei Yee Tan ◽  
Hairul Nizam Ismail ◽  
Syed Muhammad Rafy Syed Jaafar
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Future Research ◽  
The Past ◽  
Behavioural Patterns ◽  
Meta Analyses ◽  
Tourism Flows

As the growing research interest and discussion on social network analysis associated with tourism flows, this paper reviewed 31 studies focused on tourism flows with social network analysis in the past ten years. To ensure the accuracy of the literature review, a systematic quantitative literature review with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), together with descriptive and content analyses, was used to synthesise these past studies. With that, this review aims to (1) identify the overall research trends of social network analysis in tourism flows studies, (2) types and methods of data collection used, as well as (3) future research opportunities. The review findings present an interesting result with the past studies mostly focusing on examining tourist movement, tourism destination management, and tourist behavioural patterns. Furthermore, this review also provides significant findings on emerging data collection methods, like big data, in tourism research. To sum up, this paper offers an insight into social network analysis in tourism flows, primarily on the state of knowledge, methodological understanding, and future research gaps.

scholarly journals Telemonitoring to Manage Chronic Obstructive Pulmonary Disease: Systematic Literature Review (Preprint)

2018 ◽  
Author(s):  
Clemens Kruse ◽  
Brandon Pesek ◽  
Megan Anderson ◽  
Kacey Brennan ◽  
Hilary Comfort
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Literature Review ◽  
Pulmonary Disease ◽  
Systematic Reviews ◽  
The United States ◽  
Quality Data ◽  
Future Research ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Meta Analyses

BACKGROUND Chronic obstructive pulmonary disease (COPD) is a leading cause of death throughout the world. Telemedicine has been utilized for many diseases and its prevalence is increasing in the United States. Telemonitoring of patients with COPD has the potential to help patients manage disease and predict exacerbations. OBJECTIVE The objective of this review is to evaluate the effectiveness of telemonitoring to manage COPD. Researchers want to determine how telemonitoring has been used to observe COPD and we are hoping this will lead to more research in telemonitoring of this disease. METHODS This review was conducted in accordance with the Assessment for Multiple Systematic Reviews (AMSTAR) and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Authors performed a systematic review of the PubMed and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases to obtain relevant articles. Articles were then accepted or rejected by group consensus. Each article was read and authors identified barriers and facilitators to effectiveness of telemonitoring of COPD. RESULTS Results indicate that conflicting information exists for the effectiveness of telemonitoring of patients with COPD. Primarily, 13 out of 29 (45%) articles stated that patient outcomes were improved overall with telemonitoring, while 11 of 29 (38%) indicated no improvement. Authors identified the following facilitators: reduced need for in-person visits, better disease management, and bolstered patient-provider relationship. Important barriers included low-quality data, increased workload for providers, and cost. CONCLUSIONS The high variability between the articles and the ways they provided telemonitoring services created conflicting results from the literature review. Future research should emphasize standardization of telemonitoring services and predictability of exacerbations.

scholarly journals Factors Affecting Sustainable Apparel Consumption in Emerging Countries: A Systematic Literature Review

2019 ◽  
Author(s):  
Nornajihah Nadia Hasbullah ◽  
Zuraidah Sulaiman ◽  
Adaviah Mas'od
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Systematic Reviews ◽  
Developed Countries ◽  
Emerging Countries ◽  
Future Research ◽  
Factors Affecting ◽  
Prisma Statement ◽  
Meta Analyses ◽  
New Consumer

The growth of sustainable apparels provides grounding for the emergence of a new consumer market. Surprisingly, this movement has not only taken place in developed countries but also in emerging countries. To the best of the authors&rsquo; knowledge, no systematic reviews have been carried out on sustainable apparels, focused specifically on emerging countries. The goal of this systematic review is to analyse the existing literature on various factors that influence sustainable apparel consumption in emerging countries, as well as presenting future research directions. This detailed literature review is guided by the PRISMA Statement (Preferred Reporting Items for Systematic reviews and Meta-Analyses) review method, and its searches encompass sources such as Web of Science, Scopus and Google Scholar databases which, in result, identified 19 related studies. Furthermore, the reviewers segregated the factors into four major domains which include value, subjective norm, perceived behavioural control and knowledge. The results of this review demonstrate that most customers in the emerging countries have already experienced a growing interest in sustainable apparel with a strong development of knowledge, great concern, values and social circle. In sum, this systematic literature review provides an insightful information about sustainable apparel purchase behaviour and helps academicians, manufacturers and retailers to position and market their sustainable clothing brands.

scholarly journals Comparing Bayesian Posterior Passing with Meta-analysis

2021 ◽  
Vol 5 ◽  
Author(s):  
Joshua Pritsker
Keyword(s):  
Publication Bias ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Future Research ◽  
Meta Analyses

Brand, von der Post, Ounsley, and Morgan (2019) introduced Bayesian posterior passing as an alternative to traditional meta-analyses.  In this commentary I relate their procedure to traditional meta-analysis, showing that posterior passing is equivalent to fixed effects meta-analysis.  To overcome the limitations of simple posterior passing, I introduce improved posterior passing methods to account for heterogeneity and publication bias.  Additionally, practical limitations of posterior passing and the role that it can play in future research are discussed.

scholarly journals Meta-analyses on Corporate Social Responsibility (CSR): a literature review

2021 ◽  
Author(s):  
Patrick Velte
Keyword(s):  
Corporate Governance ◽  
Corporate Social Responsibility ◽  
Literature Review ◽  
Social Responsibility ◽  
Positive Impact ◽  
Business Case ◽  
Future Research ◽  
Financial Consequences ◽  
Meta Analyses ◽  
Corporate Social

AbstractThis paper addresses quantitative meta-analyses on corporate governance-related determinants and firms’ (non) financial consequences of Corporate Social Responsibility (CSR). Legitimacy theory as our theoretical framework assumes that, through a social contract, a company must fulfil the respective society’s values and expectations and gain legitimacy. We also rely on the business case argument, assuming a positive relationship between CSR and financial outcomes of the firm. This analysis focusses on 54 quantitative meta-analyses on CSR and includes a structured literature review in order to increase our knowledge, which corporate governance variables and proxies of firm’s (non) financial outcome have been heavily included in archival research, and if there is an overall impact of these variables. Prior meta-analyses indicate that board independence, board gender diversity, and board size have a positive impact on CSR performance. Moreover, both CSR performance and environmental performance increase financial performance. This literature review makes a useful contribution to prior studies by summarizing the overall impact of corporate governance variables on CSR and their (non) financial consequences and by deducing recommendations for future research.

scholarly journals Ontology-Based Regression Testing: A Systematic Literature Review

2021 ◽  
Vol 11 (20) ◽  
pp. 9709
Author(s):  
Muhammad Hasnain ◽  
Imran Ghani ◽  
Muhammad Fermi Pasha ◽  
Seung-Ryul Jeong
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Human Life ◽  
Research Direction ◽  
Regression Testing ◽  
Future Research ◽  
Critical Systems ◽  
Fields Of Study ◽  
Meta Analyses ◽  
Web Systems

Web systems evolve by adding new functionalities or modifying them to meet users’ requirements. Web systems require retesting to ensure that existing functionalities are according to users’ expectations. Retesting a web system is challenging due to high cost and time consumption. Existing ‘systematic literature review’ (SLR) studies do not comprehensively present the ontology-based regression testing approaches. Therefore, this study focuses on ontology-based regression testing approaches because ontologies have been a growing research solution in regression testing. Following this, a systematic search of studies was performed using the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) guidelines. A total of 24 peer-reviewed studies covering ontologies (semantic and inference rules) and regression testing, published between 2007 and 2019, were selected. The results showed that mainly ontology-based regression testing approaches were published in 2011–2012 and 2019 because ontology got momentum in research in other fields of study during these years. Furthermore, seven challenges to ontology-driven regression testing approaches are reported in the selected studies. Cost and validation are the main challenges examined in the research studies. The scalability of regression testing approaches has been identified as a common problem for ontology-based and other benchmark regression testing approaches. This SLR presents that the safety of critical systems is a possible future research direction to prevent human life risks.

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