Hands-poised technique: The future technique for perineal management of second stage of labour? A modified systematic literature review

Midwifery ◽  
2015 ◽  
Vol 31 (2) ◽  
pp. 274-279 ◽  
Author(s):  
Petra Petrocnik ◽  
Jayne E. Marshall
2021 ◽  
Vol 11 (2) ◽  
pp. 57
Author(s):  
Roksana Binte Rezwan ◽  
Yoshi Takahashi

This study aimed to understand the psychological process behind employees’ knowledge hiding (KH) behaviors in organizations. KH is an intentional act of concealing knowledge when it is requested by a colleague and can lead to counterproductive consequences for the organization. Therefore, this study synthesized previous studies (n = 88) on KH through a systematic literature review. We used the cognitive–motivational–relational (CMR) theory of emotion to create a framework for the studies’ findings. Based on the framework, the psychological process behind KH has two stages—personal goal generation and the knowledge-request event appraisal process, each of which contains its own CMR process. In the first stage, an individual’s internal and external attributes related to the organization shape their personal goals. In the second stage, an individual appraises the features of a knowledge-request event in terms of both their personal goal and the internal and external attributes that created the goal. If the knowledge request is appraised as harmful for the personal goal, emotion arises and leads to the manifestation of KH. This study contributes to the knowledge management literature as, to our knowledge, it is the first to propose a CMR theory-based framework to understand the overall psychological process behind KH.


Author(s):  
Antragama Ewa Abbas ◽  
◽  
Wirawan Agahari ◽  
Montijn van de Ven ◽  
Anneke Zuiderwijk ◽  
...  

Data marketplaces are expected to play a crucial role in tomorrow’s data economy but hardly achieve commercial exploitation. Currently, there is no clear understanding of the knowledge gaps in data marketplace research, especially neglected research topics that may contribute to advancing data marketplaces towards commercialization. This study provides an overview of the state of the art of data marketplace research. We employ a Systematic Literature Review (SLR) approach and structure our analysis using the Service-TechnologyOrganization-Finance (STOF) model. We find that the extant data marketplace literature is primarily dominated by technical research, such as discussions about computational pricing and architecture. To move past the first stage of the platform’s lifecycle (i.e., platform design) to the second stage (i.e., platform adoption), we call for empirical research in non-technological areas, such as customer expected value and market segmentation.


2018 ◽  
Vol 24 (2) ◽  
pp. 104-122 ◽  
Author(s):  
Natalia Szablewska ◽  
Krzysztof Kubacki

This study aims to systematically identify and review studies on anti-human trafficking campaigns published in peer-reviewed journals to determine the extent to which such campaigns have been critically and rigorously evaluated so as to guide future policies and practice in this area and to identify the main characteristics, problems, and challenges associated with the campaigns in the identified studies. This systematic literature review identified 16 studies that have assessed anti-human trafficking campaigns but found that none of these included outcome, process, or impact evaluations. As identified in our study, anti-human trafficking campaigns tend to rely on advertising techniques to target vulnerable groups and the wider public, with the primary aim of informing and educating. Further, a thematic analysis of the studies identified problems in eight areas that require attention in the future development of anti-human trafficking campaigns: stereotyping, compounding human trafficking with migration, conflating prostitution with human trafficking, sexualization/erotization of women, victimization, role of anti-human trafficking organizations, data shortcomings, and oversimplification of human trafficking. Studies presenting the results of evaluations of social marketing anti-human trafficking campaigns are urgently needed to show which social marketing tools work and to provide an evidence base for future campaigns.


2019 ◽  
Vol 11 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Nadeem Ali El-Adaileh ◽  
Scott Foster

Purpose The purpose of this paper is to present a systematic literature review to determine the factors that relate to successful business intelligence (BI) system implementation. Design/methodology/approach The study has a collection of literature that highlights potential references in relation to factors for system implementation in relation to BI. There is the employment of “content analysis”, given that the study purpose is the achievement of deep understanding of the variety of factors of implementation that other researchers have previously identified. Findings An initial investigation of 38 empirical studies on the implementation of BI led to ten factors being compiled. Difficulties in implementation were found to exist in relation to the operationalisation of large numbers of factors within organisations. The implementation factors were analysed and then sorted into a descending order based upon their frequency of occurrence. Research limitations/implications The research is limited to consider BI implementation factors. Moreover, literature is collected from selected databases and journals from 1998 to 2018. Practical implications Researchers of BI may, within the future, develop models for the measurement of the implementation level of BI within industries along with the sustaining of them. Moreover, work-based learning industries can benefit by adopting the results of this study for the effective implementation of BI. The implementation factors can be seen as key constructs upon which there may be the undertaking of more statistical analyses. Originality/value The original output from this research can help researchers’ in the future in enhancing identification of studies that are relevant for the review of literature for their research.


2019 ◽  
Vol 8 (3) ◽  
pp. 4203-4209

Relation between e-Government and social media is an inseparable relationship. The purpose of e-Government who wants to improve public services, with the help of information and communication technology. The best solution is using social media. In Indonesia, e-Government is a concept that is implemented not only by the central government, but also by regional/local governments. Right now, many local governments in Indonesia already implemented e-Government. However, not all of Indonesia local governments that implemented egovernment have a social media-based e-Government application. There is a chance that a certain city/regency at Indonesia using same social media-based e-Government application. If the application is seen in terms of features, each application also has different features combination, which are the strengths and the uniqueness of each application. In this study, there are 9 applications that examined from 9 cities / regency in Indonesia. The purpose of this study is to analyse the relation between e-government and social media, in terms of using social media features and identified features that exist in each e-Government application that examined from 9 cities / regency in Indonesia with Systematic Literature Review. The feature found will be categorized with feature functionality categorization: Identity, Conversations, Sharing, Presence, Relationships, Reputation, and Groups. Each feature found can be having more than 1 feature functionality. The result of this study can be used as an indicator about features available at social media-based e-Government application and this study can be used to be a comparison or references for making another social media-based e-Government application in the future


Psychology ◽  
2021 ◽  
Vol 12 (02) ◽  
pp. 236-254
Author(s):  
Käthe Schneider ◽  
Rebekka Langen

2021 ◽  
Vol 11 (22) ◽  
pp. 10907
Author(s):  
Boran Sekeroglu ◽  
Rahib Abiyev ◽  
Ahmet Ilhan ◽  
Murat Arslan ◽  
John Bush Idoko

Improving the quality, developing and implementing systems that can provide advantages to students, and predicting students’ success during the term, at the end of the term, or in the future are some of the primary aims of education. Due to its unique ability to create relationships and obtain accurate results, artificial intelligence and machine learning are tools used in this field to achieve the expected goals. However, the diversity of studies and the differences in their content create confusion and reduce their ability to pioneer future studies. In this study, we performed a systematic literature review of student performance prediction studies in three different databases between 2010 and 2020. The results are presented as percentages by categorizing them as either model, dataset, validation, evaluation, or aims. The common points and differences in the studies are determined, and critical gaps and possible remedies are presented. The results and identified gaps could be eliminated with standardized evaluation and validation strategies. It is determined that student performance prediction studies should be more frequently focused on deep learning models in the future. Finally, the problems that can be solved using a global dataset created by a global education information consortium, as well as its advantages, are presented.


2018 ◽  
Vol 49 (3) ◽  
pp. 82-97 ◽  
Author(s):  
João Walter Saunders Pacheco do Vale ◽  
Breno Nunes ◽  
Marly Monteiro de Carvalho

This article investigates the individual competences of project managers through a methodological approach that combines a systematic literature review and an analysis of employment opportunities. A comparative analysis of project manager’s competences from the literature and the job advertisements was done. The systematic literature review was the first stage of the research and consisted of adopting methods of bibliometrics and content analysis. The second stage included an analysis of project managers’ competences in the selection process. Thus, five Brazilian recruitment websites and the selection of employees were investigated. Through literature review, it was possible to classify and code competences in four categories (contextual, managerial, technical, and behavioral). The analysis of job advertisements allowed us to identify core competence requirements in the job descriptions and to develop a project manager profile expected by Brazilian organizations.


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