Market Segmentation of Organ Donors in Malaysia: A Systematic Literature Review

2014 ◽  
Vol 2 (2) ◽  
pp. 50-54
Author(s):  
Sharifah Nurafizah Syed Annuar ◽  
Imbarine Bujang
Keyword(s):  
Food Allergy ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Market Segmentation ◽  
Educational Level ◽  
Research Articles ◽  
Organ Donors ◽  
Inclusion Criteria ◽  
Organ Donations ◽  
Review Study

Objective- The objectives of this paper are to determine bases in segmenting organ donors and to examine potential variables that could be used to segment and target potential organ donors. Methodology/Technique To understand the complexities of the characteristics of potential organ donors in Malaysia, it is important that a systematic Literature Review be conducted. Research articles are searched from selected databases using certain keywords and articles met inclusion criteria are reviewed. This paper contributes to the understanding about the importance of food allergy awareness among public. Findings - Based on this review study, it was found the elders, men, individuals with higher educational level and reside in urban localities are more likely to become organ donors. Therefore, appropriate programs should be targeted to these groups. Novelty - The paper used systematic literature review to re-examine the characteristics of potential organ donors and group the potential organ donors in Malaysia using common segmentation bases. This paper contributes to marketing literature and provides insights to relevant authorities in designing Organ Donation Campaigns. Type of Paper Conceptual Keywords: Market Segmentation; Organ Donations; Malaysia; Demographic; Geographic; Psychographic; Behavioural.

scholarly journals Big Data COVID-19 Systematic Literature Review: Pandemic Crisis

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3125
Author(s):  
Laraib Aslam Haafza ◽  
Mazhar Javed Awan ◽  
Adnan Abid ◽  
Awais Yasin ◽  
Haitham Nobanee ◽  
...  
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Inclusion Criteria ◽  
Big Data Applications ◽  
Data Statistics ◽  
Review Study ◽  
The Many ◽  
Meta Analyses ◽  
And Control

The COVID-19 pandemic has frightened people worldwide, and coronavirus has become the most commonly used phrase in recent years. Therefore, there is a need for a systematic literature review (SLR) related to Big Data applications in the COVID-19 pandemic crisis. The objective is to highlight recent technological advancements. Many studies emphasize the area of the COVID-19 pandemic crisis. Our study categorizes the many applications used to manage and control the pandemic. There is a very limited SLR prospective of COVID-19 with Big Data. Our SLR study picked five databases: Science direct, IEEE Xplore, Springer, ACM, and MDPI. Before the screening, following the recommendation, Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) were reported for 893 studies from 2019, 2020 and until September 2021. After screening, 60 studies met the inclusion criteria through COVID-19 data statistics, and Big Data analysis was used as the search string. Our research’s findings successfully dealt with COVID-19 healthcare with risk diagnosis, estimation or prevention, decision making, and drug Big Data applications problems. We believe that this review study will motivate the research community to perform expandable and transparent research against the pandemic crisis of COVID-19.

Data Mining-based Financial Statement Fraud Detection: Systematic Literature Review and Meta-analysis to Estimate Data Sample Mapping of Fraudulent Companies Against Non-fraudulent Companies

2021 ◽  
pp. 097215092098485
Author(s):  
Sonika Gupta ◽  
Sushil Kumar Mehta
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Classification Accuracy ◽  
Meta Analysis ◽  
Financial Statement ◽  
Research Articles ◽  
Financial Statement Fraud ◽  
Data Mining Techniques

Data mining techniques have proven quite effective not only in detecting financial statement frauds but also in discovering other financial crimes, such as credit card frauds, loan and security frauds, corporate frauds, bank and insurance frauds, etc. Classification of data mining techniques, in recent years, has been accepted as one of the most credible methodologies for the detection of symptoms of financial statement frauds through scanning the published financial statements of companies. The retrieved literature that has used data mining classification techniques can be broadly categorized on the basis of the type of technique applied, as statistical techniques and machine learning techniques. The biggest challenge in executing the classification process using data mining techniques lies in collecting the data sample of fraudulent companies and mapping the sample of fraudulent companies against non-fraudulent companies. In this article, a systematic literature review (SLR) of studies from the area of financial statement fraud detection has been conducted. The review has considered research articles published between 1995 and 2020. Further, a meta-analysis has been performed to establish the effect of data sample mapping of fraudulent companies against non-fraudulent companies on the classification methods through comparing the overall classification accuracy reported in the literature. The retrieved literature indicates that a fraudulent sample can either be equally paired with non-fraudulent sample (1:1 data mapping) or be unequally mapped using 1:many ratio to increase the sample size proportionally. Based on the meta-analysis of the research articles, it can be concluded that machine learning approaches, in comparison to statistical approaches, can achieve better classification accuracy, particularly when the availability of sample data is low. High classification accuracy can be obtained with even a 1:1 mapping data set using machine learning classification approaches.

Computer Science Unplugged: A Systematic Literature Review

2021 ◽  
pp. 004723952110188
Author(s):  
Ali Battal ◽  
Gülgün Afacan Adanır ◽  
Yasemin Gülbahar
Keyword(s):  
Literature Review ◽  
Computer Science ◽  
Systematic Literature Review ◽  
Computational Thinking ◽  
Thinking Skills ◽  
Inclusion Criteria ◽  
Relevant Research ◽  
Tangible Programming ◽  
Review Procedure ◽  
Research Studies

The computer science (CS) unplugged approach intends to teach CS concepts and computational thinking skills without employing any digital tools. The current study conducted a systematic literature review to analyze research studies that conducted investigations related to implementations of CS unplugged activities. A systematic review procedure was developed and applied to detect and subsequently review relevant research studies published from 2010 to 2019. It was found that 55 research studies (17 articles + 38 conference proceedings) satisfied the inclusion criteria for the analysis. These research studies were then examined with regard to their demographic characteristics, research methodologies, research results, and main findings. It was found that the unplugged approach was realized and utilized differently among researchers. The majority of the studies used the CS unplugged term when referring to “paper–pencil activities,” “problem solving,” “storytelling,” “games,” “tangible programming,” and even “robotics.”

scholarly journals Understanding Preferences for Coastal Climate Change Adaptation: A Systematic Literature Review

2021 ◽  
Vol 13 (15) ◽  
pp. 8594
Author(s):  
Angela Mallette ◽  
Timothy F. Smith ◽  
Carmen Elrick-Barr ◽  
Jessica Blythe ◽  
Ryan Plummer
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Place Attachment ◽  
Private Property ◽  
Public Support ◽  
Inclusion Criteria ◽  
Policy Makers ◽  
Coastal Adaptation ◽  
Significant Research ◽  
Response Policy

Lack of public support for coastal adaptation can present significant barriers for implementation. In response, policy makers and academics are seeking strategies to build public support for coastal adaptation, which requires a deeper understanding of peoples’ preferences for coastal adaptation and what motives those preferences. Here, we conduct a systematic literature review to understand preferences for coastal adaptation options and the factors influencing these preferences. Ninety peer-reviewed publications meet the inclusion criteria. The findings revealed that hard protection options were often the most frequently preferred, likely due to a desire to maintain current shoreline, for the protection of recreational spaces and private property, and a perceived effectiveness of hard protection options. Soft protection, including nature-based approaches, accommodation, and no action were the next most preferred options. Finally, retreat options were the least preferred, often due to strong place attachment. We identify twenty-eight factors that could influence preferences, with risk perception, place attachment, and financial considerations occurring most frequently in the literature. In the conclusion, we outline the most significant research gaps identified from our analysis and discuss the implication for adaptation research and practice.

scholarly journals Informed Consent in the U.S. Indigenous Peoples Context: A Systematic Literature Review 

2021 ◽  
Author(s):  
Tasha Gross ◽  
Clarita Lefthand-Begay
Keyword(s):  
Informed Consent ◽  
Literature Review ◽  
Cultural Values ◽  
Systematic Literature Review ◽  
Human Subjects ◽  
The United States ◽  
Inclusion Criteria ◽  
Research Practices ◽  
The Individual ◽  
The U.S

Abstract BACKGROUND: Tribal communities in the United States (U.S.) have a long history of subjection to unethical and exploitive medical and research practices. Today, many Tribal nations are establishing procedures in order to protect themselves from further harm and to advance culturally informed research practices. These procedures are also meant to ensure that their communities benefit from research conducted within their communities. Informed consent is a key element in protecting human subjects, but it may not be sufficient in the tribal context, as its conception is rooted in Western understandings of protection. Specifically, the informed consent emphasizes the individual, rather than the community as a whole, which is just as important in the context of conducting research with Native communities.METHODS: We conduct a systematic literature review to answer two related questions: How is informed consent being conceived of by U.S. tribes? And how is informed consent being required by U.S. tribes? Our inclusion criteria include articles focusing on informed consent within the U.S. tribal context, written in English in 2010-2020. Articles that did not fit our inclusion criteria were excluded. Two reviewers independently reviewed and coded 30 peer-reviewed articles by using content analysis and, in an iterative process, agreed on emerging codes and themes. RESULTS: A number of themes arise in the selected literature, including the conception of informed consent as a process, its operation at various levels (individual, collective, and government-to-government), possible alternatives to informed consent, and the need for specificity about ownership of samples and data, benefits and/or risks, and the methods and procedures that researchers use in the course of study.CONCLUSIONS: Our key results point to a need for clear and transparent information for prospective research participants and for consent forms and processes to include the collective, as well as the individual. This will better align with the cultural values and political standing of sovereign tribes in the U.S.

scholarly journals Business Data Sharing through Data Marketplaces: A Systematic Literature Review

2021 ◽  
Author(s):  
Antragama Ewa Abbas ◽  
◽  
Wirawan Agahari ◽  
Montijn van de Ven ◽  
Anneke Zuiderwijk ◽  
...  
Keyword(s):  
Literature Review ◽  
Empirical Research ◽  
Systematic Literature Review ◽  
Market Segmentation ◽  
Crucial Role ◽  
State Of The Art ◽  
Clear Understanding ◽  
Research Topics ◽  
Commercial Exploitation ◽  
Second Stage

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.

scholarly journals Effect of Neuro-Linguistic Programming (NLP) on Anxiety: A Systematic Literature Review

2021 ◽  
pp. 496-507
Author(s):  
Rifki S. Nompo ◽  
Andria Pragholapati ◽  
Angela L. Thome
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
English Language ◽  
Self Management ◽  
Life Changes ◽  
Inclusion Criteria ◽  
Exclusion Criteria ◽  
Good Communication ◽  
Sensory Acuity ◽  
Keywords Anxiety

Anxiety is a feeling of helplessness, and worry about things that are not clear, as well as a comprehensive feeling that something bad is going to happen. Anxiety is experienced subjectively and communicated interpersonally, at the same time feelings of anxiety are a necessary survival instinct. The Neuro-Linguistic Programming (NLP) is a communicative approach employs a positive view of anxiety and how it can help shape life changes, and that is the topic of this article. This research method uses a Systematic Literature Review, investigating Garuda, Pubmed, ScienceDirect, and Proquest, using boolean for keyword neurolinguistics programming (NLP) and anxiety. The inclusion criteria used were Indonesian and English language articles written within the last 5 years (from 2015 until 2020). The exclusion criteria used by the article were abstract writing style, inaccessible, or lacking national accreditation. Articles were tested with Critical Appraisal Tools. The studies indicate that good communication using NLP can help reduce anxiety and can promote changes in a person’s behavior patterns. There are several NLP techniques including sensory acuity, reframing, anchoring, rapport, and pacing, and leading. NLP can improve knowledge, skills and attitudes, communication skills, self-management, mental health, reduce work stress, and self-efficacy.   Keywords: Anxiety, Neuro-Linguistic Programming, NLP

scholarly journals On Deploying Blockchain Technologies in Supply Chain Strategies and the COVID-19 Pandemic: A Systematic Literature Review and Research Outlook

2021 ◽  
Vol 13 (19) ◽  
pp. 10566
Author(s):  
Mohammad Nabipour ◽  
M. Ali Ülkü
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Web Of Science ◽  
Environmental Issues ◽  
Future Studies ◽  
Blockchain Technology ◽  
Industrial Sectors ◽  
Holistic Review ◽  
Review Study

The emergence of a new pandemic, known as COVID-19, has touched various sections of the supply chain (SC). Since then, numerous studies have been conducted on the issue, but the need for a holistic review study that highlights the gaps and limits of previous research, as well as opportunities and agendas for future studies, is palpable. Through a systematic literature review on blockchain technology (BCT) deployment in supply-chain management (SCM) concerning the COVID-19 pandemic, this research seeks to add to the content of previous studies and to enlighten the path for future studies. Relevant papers were found using a variety of resources (Scopus, Google Scholar, Web of Science, and ProQuest). Seventy-two articles were systematically selected, considering the PRISMA procedure, and were thoroughly analyzed based on BCT, methodologies, industrial sectors, geographical, and sustainability context. According to our findings, there is a significant lack of empirical and quantitative methodologies in the literature. The majority of studies did not take specific industries into account. Furthermore, the articles focusing on the sustainability context are few, particularly regarding social and environmental issues. In addition, most of the reviewed papers did not consider the geographical context. The results indicate that the deployment of BCT in several sectors is not uniform, and this utilization is reliant on their services during the COVID-19 pandemic. Furthermore, the concentration of research on the impacts of the BCT on SCM differs according to the conditions of various countries in terms of the consequences of the COVID-19 pandemic. The findings also show that there is a direct relationship between the deployment of BCT and sustainability factors, such as economic and waste issues, under the circumstances surrounding COVID-19. Finally, this study offers research opportunities and agendas to help academics and other stakeholders to gain a better knowledge of the present literature, recognize aspects that necessitate more exploration, and drive prospective studies.

scholarly journals Determining the Potential of Graduate Analytics Based on the iCGPA System: A Systematic Literature Review

2020 ◽  
Vol 7 (2) ◽  
pp. 3-21
Author(s):  
Wan Nor Afiqah Wan Othman ◽  
Aziman Abdullah
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Literature ◽  
Potential Utility ◽  
Inclusion Criteria ◽  
Tracer Studies ◽  
Academic Literature ◽  
System A

This study was conducted to address the issue of gathering information to track the career and accomplishments of graduates for quality improvement in higher education. Due to the lack of a convenient method to gather information using an efficient mechanism, this study reviewed graduate analytics based on the iCGPA system with the primary aim of examining its potential utility in such a system, and vice versa. A systematic literature review was conducted to integrate the relevant academic literature related to graduate analytics and iCGPA system. Using the PRISMA method, we identified 160 different articles, but only 125 met the specified inclusion criteria. Our analysis of the accepted articles to determine the potential of graduate analytics in iCGPA system, and vice versa, produced zero results where no intersection of the two topics could be found in the research literature from 2011 to 2018. Our findings indicate an acute lack of research in these two areas. However, we believe this gap can be minimized since there are already higher education institutions in Malaysia that are currently implementing the iCGPA system. The implementation could inform us regarding how graduate analytics can be used to expand the value of iCGPA for improving the quality of Malaysian higher education graduates. Keywords: Graduate analytics, iCGPA system, systematic literature review, graduate tracer studies, PRISMA method

A systematic literature review of ‘empathy’ and ‘games’

2021 ◽  
Vol 13 (2) ◽  
pp. 195-214 ◽  
Author(s):  
Karen Schrier ◽  
Matthew Farber
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Research Articles ◽  
The Past ◽  
Different Types

Scholarship on the intersection of games and empathy is limited. However, over the past decade peer-reviewed articles have started to be published in this area. This study investigates this emerging scholarship on empathy and games to understand how researchers are describing, defining and communicating their work. For example, how are research articles about games defining empathy? From which disciplines are the researchers framing their studies? Which types of games are being used in the investigations? Forty-nine articles were found, coded and analysed by searching six different databases. For this investigation, each article was analysed based on the discipline, keyword(s) used to find the article, definition(s) of empathy used, types of games used in the article and the themes used in the article. Articles emerged from twelve different disciplines and described over thirteen different types of empathy. Findings were shared, as well as recommendations for researchers studying this area.

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