scholarly journals What Is the Future of Adult Training?—A Systematic Literature Review

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


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.


Author(s):  
Oluwaseun James Oguntuase

The potential of academic entrepreneurship towards achieving sustainable development has been established. Likewise, sustainability is an inherent characteristic of the bioeconomy. Academics are expected to play significant roles in the successful implementation of bioeconomy through scientific research and entrepreneurship. This chapter takes academic entrepreneurship as a process that creates value from research and technology commercialisation in a bioeconomy towards achieving sustainable development in the society. The chapter employs a systematic literature review approach to identify the opportunities at the intersection of academic entrepreneurship, bioeconomy, and sustainable development. The framework of technological innovation systems (TIS) will guide this study. The chapter will conclude that the future of sustainable development in our resources-constrained planet lies in plethora of academic entrepreneurial opportunities and embracing such in the implementation of bioeconomy, an economic system that is viable for the future.


Author(s):  
Maria Prokofieva ◽  
Shah J Miah

Blockchain is treated as a ledger system that manages data and their transactions using time-stamped blocks through cryptography and works in a decentralised manner over the computing network. Although blockchain is originally used as a backbone for the cryptocurrency, Bitcoin, its capabilities and applications have yet to be extended far beyond cryptocurrencies. In this paper, through conducting a latest systematic literature review aiming to produce new source of evidence, we identify potential applications of the blockchain technologies in healthcare. The comprehensive review looks at the professional and academic open-sourced journals published between 2008 to 2019 to recognise the potential of blockchain based approaches in the purpose of healthcare information disseminations, as well as to segregate issues for the implementation and development of blockchain applications. We identify several major application domains that present research opportunities and challenges for the future advancements and directions for the benefits of IS researchers and professionals.


2021 ◽  
Vol 13 (15) ◽  
pp. 8259
Author(s):  
Lorenzo Pratici ◽  
Phillip McMinn Singer

The Covid-19 pandemic has had wide-reaching societal and economic effects and a return to “normal” will take years to accomplish. In light of this situation, the most important advancement since COVID-19′s emergence has been the development of multiple, life-saving, vaccines. Academic research on vaccine has been extensive. It is estimated that in only one year it has been produced more published and indexed papers on this single issue than in the last twenty years on any other single issue, thus, necessitating some organization. This research consists of a systematic literature review of the social science publication on COVID-19 published in the first year of the pandemic (February 2020 to March 2021). This review is important because it occurs at a time when vaccines have begun their global distribution and the best efforts to address the pandemic is through vaccination programs. In this research, 53 papers published in relevant journals are analyzed out of the almost 30,000 articles retrieved from Scopus database. The analysis conducted relies on two different types: descriptive analysis (evolution at the time of citations; evolution over time of keywords; bibliographical mapping of countries, the top 10 most influential papers), and bibliometric analysis for content evaluation. A cluster analysis was performed for the latter. Clustering the research papers, based on the actual content of papers, found there to be five research areas: (1) economic aspects; (2) ethics and legal aspects; (3) health communication; (4) policies and crisis management, and (5) political issues. Yet, this article’s results paint a picture of literature that has not yet considered the full scope of COVID-19’s effect on the economic, political, and population level health and well-being. Nor has it considered these effects across the global community, suggesting new potential areas of research and giving a perspective of what we should expect for the future.


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