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.

Big data applications on the Internet of Things: A systematic literature review

2021 ◽  
Author(s):  
Ulkar Ahmadova ◽  
Mustafa Mustafayev ◽  
Behnam Kiani Kalejahi ◽  
Saeed Saeedvand ◽  
Amir Masoud Rahmani
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Systematic Literature Review ◽  
The Internet ◽  
Big Data Applications ◽  
The Internet Of Things

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 Quality Assurance Technologies of Big Data Applications: A Systematic Literature Review

2020 ◽  
Vol 10 (22) ◽  
pp. 8052
Author(s):  
Shunhui Ji ◽  
Qingqiu Li ◽  
Wennan Cao ◽  
Pengcheng Zhang ◽  
Henry Muccini
Keyword(s):  
Quality Assurance ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart Cities ◽  
Scientific Databases ◽  
Big Data Applications ◽  
Low Performance ◽  
Prediction Systems

Big data applications are currently used in many application domains, ranging from statistical applications to prediction systems and smart cities. However, the quality of these applications is far from perfect, such as functional error, failure and low performance. Consequently, assuring the overall quality for big data applications plays an increasingly important role. This paper aims at summarizing and assessing existing quality assurance (QA) technologies addressing quality issues in big data applications. We have conducted a systematic literature review (SLR) by searching major scientific databases, resulting in 83 primary and relevant studies on QA technologies for big data applications. The SLR results reveal the following main findings: (1) the quality attributes that are focused for the quality of big data applications, including correctness, performance, availability, scalability and reliability, and the factors influencing them; (2) the existing implementation-specific QA technologies, including specification, architectural choice and fault tolerance, and the process-specific QA technologies, including analysis, verification, testing, monitoring and fault and failure prediction; (3) existing strengths and limitations of each kind of QA technology; (4) the existing empirical evidence of each QA technology. This study provides a solid foundation for research on QA technologies of big data applications and can help developers of big data applications apply suitable QA technologies.

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.

Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu
Keyword(s):  
Health Care ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Health Care Sector ◽  
Future Research ◽  
Research Gaps ◽  
Content Type

PurposeThe proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.Design/methodology/approachFora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.FindingsBD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.Research limitations/implicationsThe proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.Originality/valueThere are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.

Big data-driven strategic orientation in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
International Marketing ◽  
Strategic Orientation ◽  
Data Driven ◽  
Future Research ◽  
Content Type ◽  
Strategic Orientations ◽  
Marketing Activities

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

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