Systematic Mapping Of Literature Research Articles

Systematic mapping of academic literature on performance management in the Full-Time School Program

Systematic mapping of academic literature on performance management in the Full-Time School Program

Evolution of the Polygon of the Protected Natural Area “Parque Nacional Sistema Arrecifal Veracruzano” Due to the Expansion of the Port of Veracruz, Mexico

The Port of Veracruz, Mexico was artificially built at the beginning of the 21st century, dredging the sea floor and removing reefs to allow the entry of large ships, which led to a growth in the traffic of goods and people through it, making it the largest commercial port in all of Mexico. In 1992 the Government of Mexico decreed the area of coastal reefs near the Port of Veracruz as a protected natural area with the name of the Parque Nacional Sistema Arrecifal Veracruzano (PSNSAV). In 2013, with the demand of international trade, the decision was made to expand the port, generating job growth in the area and an increase in the flow of containers and automobiles, also have a greater capacity to transport cereals, minerals and fuels. In contrast to the disagreements of the society due to the loss of protected space, the Parks polygon had to be modified. This work try to demonstrated that the construction of the port expansion began previous the presentation to the environmental authorities of the Environmental Impact Statement and the change in the protected limits with the disappearance of the Punta Gorda reefs and the dredging of Vergara Bay for the arrival of deep draft vessels. Through a systematic mapping of the scientific literature combined with satellite mapping and visual interpretation of images, and documentary analysis, we determined the damage to the reef system, which has protected species according to Mexican national regulations.

Scour Protection Measures for Offshore Wind Turbines: A Systematic Literature Review on Recent Developments

Offshore wind energy is considered as one of the most promising resources of clean and renewable energy to replace fossil fuels. Additionally, its cost is expected to be lower than onshore wind energy as the technology matures. Offshore wind turbines (OWTs) normally operate in harsh ocean environments, which could impact their structural integrity. Scour erosion around foundations of OWTs can substantially change the overall stiffness of these structures and shorten their lifetime. Currently, there are a limited number of studies on countermeasures and their engineering requirements for decreasing the scouring effect; this is due to their different hydraulic circumstances, such as their stability, reliability, and resistance capacity. To this end, advancements in scour protection measures in the offshore energy sector are evaluated in this paper through a thorough and critical review following the PRISMA systematic literature mapping approach. This includes 68 papers on scour protection and over 30 scour protection designs for various types of wind turbine foundations. Here, we aim to provide an overview of the latest scouring protection measures and their comprehensive assessment, as well as their prospects and future challenges. The findings of this study will provide key insights into scour protection measures for OWTs and will subsequently contribute to the future growth of the offshore renewable energy sector.

An overview of domestic and international applications of digital technology in teaching in vocational education: Systematic literature mapping

An overview of domestic and international applications of digital technology in teaching in vocational education: Systematic literature mapping

Railway Catenary Condition Monitoring: A Systematic Mapping of Recent Research

In this paper, a different approach to the traditional literature review—literature systematic mapping—is adopted to summarize the progress in the recent research on railway catenary system condition monitoring in terms of aspects such as sensor categories, monitoring targets, and so forth. Importantly, the deep interconnections among these aspects are also investigated through systematic mapping. In addition, the authorship and publication trends are also examined. Compared to a traditional literature review, the literature mapping approach focuses less on the technical details of the research but reflects the research trends, and focuses in a specific field by visualizing them with the help of different plots and figures, which makes it more visually direct and comprehensible than the traditional literature review approach.

Dimensionality Reduction for Hierarchical Multi-Label Classification: A Systematic Mapping Study

Hierarchical multi-label classification problems typically deal with datasets with many attributes and labels, which can negatively impact the classifier performance. The application of dimensionality reduction methods can significantly improve the performance of classifiers. Dimensionality reduction can be performed by feature extraction or feature selection, according to the problem domain and datasets characteristics. This work carried out a systematic literature mapping to identify the approaches and techniques of dimensionality reduction that have been used in hierarchical multi-label classification tasks. Searches were performed on 7 important databases for the Computer Science field. From a list of 184 retrieved papers, 12 were selected for analysis, from which it was possible to determine a general overview of studies conducted from 2010 to 2022. It was identified that feature selection was the most frequent reduction method, with filter approach standing out. In addition, it was detected that most of the works used tree hierarchical structure. As its main outcome, this paper presents the state of the art of dimensionality reduction problem for hierarchical multi-label classification, indicating trends and research issues in the field.

Algorithmic Thinking and Extension of its Definition for Trainee Software Developers: A Systematic Literature Mapping

Algorithmic Thinking and Extension of its Definition for Trainee Software Developers: A Systematic Literature Mapping

Machine Learning in Gamification and Gamification in Machine Learning: A Systematic Literature Mapping

Albeit in different ways, both machine learning and gamification have transfigured the user experience of information systems. Although both are hot research topics, so far, little attention has been paid to how these two technologies converge with each other. This relation is not obvious as while it is feasible to enhance gamification with machine learning, it is also feasible to support machine learning with gamification; moreover, there are applications in which machine learning and gamification are combined yet not directly connected. In this study, we aim to shed light on the use of both machine learning in gamification and gamification in machine learning, as well as the related topics of using gamification in machine learning education and machine learning in gamification research. By performing a systematic literature mapping, we not only identify prior works addressing these respective themes, but also analyze how their popularity evolved in time, investigate the areas of application reported by prior works, used machine learning techniques and software tools, as well as the character of research contribution and the character of evaluation results for works that presented them.

Systematic mapping study of literature in organic food value chain (1990–2021)

PurposeThe aim of the study is to systematically map the articles published in the area of organic food value chain. Many articles have been published in various domains of organic food value chain, but no significant study has been found related to the systematic mapping of literature.Design/methodology/approachThis study relies on secondary data. Articles from Scopus and Google Scholar databases between January 1, 1990, and July 10, 2021, have been considered. On the basis of inclusion criteria, 56 articles have been analysed in this systematic mapping study.FindingsThis study describes the geographical coverage, the methodologies used, sector/industry-specific context of the articles and scope the for future research. Five clusters were identified through co-occurrence analysis: (1) “organic agriculture and sustainable value chain” (2) “organic farming and food value chain,” (3) “organic value chain and sustainable development,” (4) “organic value chain and environmental impact” and (5) organic value chain and profitability.Research limitations/implicationsThe study considers only articles published in Scopus and Google Scholar with some specific keywords related to the value chain and organic food industry. Future studies are encouraged by considering a wide range of keywords with a larger data set.Originality/valueTo the best of the author's knowledge, this study is the first to have a systematic mapping of literature on the organic food value chain.

Review: Linking animal health measures in dairy cows to farm-level economic outcomes: a systematic literature mapping.

Farm animal health is an area of increasing interest to both the public and industry stakeholders. There is an ongoing debate on whether improving animal health, and thereby increasing welfare, is profitable or not. Improving animal health often requires investments in the farm or increases labour costs. As a result, the impact of animal health on farm economy is particularly interesting. This study systematically maps and assesses the available evidence in the published scientific literature regarding the link between farms' economic outcomes on dairy cow health, with the aim of identifying knowledge gaps in this field of research. In total, 59 peer-reviewed articles were included using a broad range of animal health variables and economic outcomes. We found a heterogeneous body of evidence in terms of both methods, animal health measures (AHMs) and economic outcome measures used. None of the included studies makes explicit causal claims between AHMs and economic outcomes. The results suggest that common production diseases such as clinical mastitis and lameness, which are painful and affect cow health and welfare, are costly for farmers. We found a knowledge gap and lack of evidence on the impact of animal health interventions on farms' economic outcomes, as well as the long-term effects of such interventions. Future research should aim to investigate the causal links between animal health and economic outcomes.

Systematic Literature Mapping: Studies Related to ESL/EFL Oral Communication Skills (2018-2022)

In our interconnected world, English has become the language used for communication in different contexts. It is used as the language employed to facilitate exchange of information in different fields such as business, academia, science, technology, and culture, among others. This paper describes the development of a systematic literature mapping (SLM) using 68 studies from the Scopus and WoS databases from 2018 to 2022 related to English language oral communication with the purpose of analyzing recent publications on the topic, the thematic lines that researchers have focused on, the methodology and tools used to carry out their research, the contexts in which investigations take place, the journals that publish these articles, and the recommendations for future studies. The results show the interest in EFL/ESL oral communication in different environments, the strategies used by teachers and learners, some of the cognitive and affective processes that impact oral proficiency, as well as the use of technology and how it contributes to the development of these investigations. The search for articles was limited to articles written in the English language that referred to oral communication in English as a second or foreign language. This work is of value for researchers and teachers interested in exploring the trends in this topic.

Overconfidence Bias in Investment Decisions: A Systematic Mapping of Literature and Future Research Topics

The current study uses a systematic literature review to summarize and highlight studies on overconfidence bias in investment decision-making. More specifically, the study synthesizes the overconfidence literature highlighting the year of publication, country of the published articles, research methods, data sources, prominent theories, statistical techniques, citation analysis of the popular articles and authors and future research topics. The authors study 111 documents indexed in Scopus and/or Web of Science databases to recognize research trends regarding overconfidence bias during the last 29 years (1995–2023). The results indicate that most (61.26%) selected studies are empirical. Likewise, secondary data-based articles dominate primary ones. Additionally, the resulting factors can be classified into four themes: the construct of overconfidence bias and investments; success: a cause of overconfidence; gender and overconfidence; and the consequences of overconfidence. To the authors’ best knowledge, this is a unique article in which research outcomes of essential aspects of overconfidence are skimmed systematically.

A systematic literature mapping of current academic research linking warehouse management systems to the third-party logistics context

Academic research on third-party logistics operators selecting warehouse management systems is scarce at best, based on found 86 area-specific studies written in English. Only 17 studies had mentions of 3PL and WMS but did not directly reference 3PL using WMS. Eighty-six studies covering four main categories contributed to understanding ongoing research in WMS characteristics and the 3PL context. One category is warehouse characteristics relevant to WMS, and the others concern the warehouse management system as its taxonomy, functions, features, and deployment considerations. Within these four categories, 17 subtopic areas were identified. WMS deployment considerations had the highest number of subtopics (ten), being the most focused area for WMS selection considerations for the system's successful implementation and operation usage. WMS functions and features category contained only a subtopic, indicating a need for additional research on operational functions in management systems and 3PL operations context. Award-winning 3PL validated our findings, utilizing their extensive industry experience. Based on the 3PLs validation review, fast-developing and technology areas, such as digitalization and the newest warehouse management technologies, were the only areas missing from the academic literature. Research is carried out to map the missing specific digitalization, technology-based research, development, innovation possibilities, and WMS sustainability-related knowledge gaps. By addressing the knowledge gap in existing literature, the study significantly contributes to understanding WMS utilization in the 3PL context, providing new insights into WMS characteristics overview, advancing research in 3PL logistics selecting WMS, and defining future research venues of WMS aspects.

A systematic review on open-set segmentation

Open-set semantic segmentation remains yet a challenging task, not only due to the inherent challenges of pixel-wise classification but also the precise segmentation of categories not seen during training. The pursuit of that task is rapidly growing in the Computer Vision community, urging the need to organize the literature. In this paper, we extend our previous work by conducting a more comprehensive systematic mapping of the open-set segmentation literature between January 2001 and January 2023 and proposing a novel taxonomy. Our goal is to provide a broad understanding of current trends for the open-set semantic segmentation (OSS) task defined by existing approaches that may influence future methods. By characterizing methodologies in terms of open-set identification strategies, data inputs, and other relevant aspects, we present a structured view of how researchers are advancing in the field of open-set semantic segmentation. To the best of the authors’ knowledge, this is the first systematic review of OSS methods. Moreover, we apply the proposed taxonomy to selected methods for open-set recognition, outlining important similarities and differences of such a closely related field.

3D visualisations for communicative urban and landscape planning: What systematic mapping of academic literature can tell us of their potential?

3D visualisations for communicative urban and landscape planning: What systematic mapping of academic literature can tell us of their potential?

AGILE SOFTWARE ARCHITECTURE INGLOBAL SOFTWARE DEVELOPMENT ENVIRONMENT:SYSTEMATIC LITERATURE MAPPING

In recent years, software development companies started to adopt Global Software Development (GSD) toexplore the benefits of this approach, mainly cost reduction. However, the GSD environment also brings more complexity and challenges. Some challenges are related to communication aspects like cultural differences, time zone, and language. This paper is the first step in an extensive study to understand if the software architecture can ease communication in GSD environments. We conducted a Systematic Literature Mapping (SLM) to catalog relevant studies about software architecture and GSD teams and identify potential practices for use in the software industry. This paper’s findings contribute to the GSD body of knowledge by exploring the impact of software architecture strategy on the GSD environment. It presents hypotheses regarding the relationship between software architecture and GSD challenges, which will guide future research.

Directions of innovation for the decarbonization of cement and steel production – A topic modeling-based analysis

There is a vast amount of academic research on industry decarbonization in the cement and steel industries, but a systematic mapping of the relevant literature is missing to date. Filling this gap, we analyze the directions of innovation in the field by (1) creating data sets containing academic literature on industry decarbonization, by (2) structuring the identified articles topically using a topic modeling approach, and by (3) quantifying the publication volume by the underlying decarbonization option over time. Results show that research on cement and steel production has long focused on efficiency improvements and has only recently shifted toward solutions that allow for the industries’ deep decarbonization. While research on the latter still has to translate into measurable deployment of clean production technologies, trends in the energy consumption and emission intensity of the production processes point toward a positive but stagnating effect of past efficiency-focused research.

Towards digital twins for heritage buildings: A workflow proposal

There has been a recent interest in the field of digital heritage to advance historic building information modeling (HBIM) towards digital twins (DT). This paper investigates the potential and limitations of HBIM use as DTs through a systematic mapping of literature (SML). The conclusions were applied in an incremental and low-code workflow to model historic buildings aiming at achieving a trade-off between a high degree of parametrization and a high degree of geometric accuracy. The proposed workflow is illustrated through a parametric script developed with visual programming in Grasshopper for Rhino 3D to model historic columns from profiles. VisualARQ for Rhino 3D is used to convert the script into a BIM object that uses profiles, automatically extracted from a point cloud acquired with 3D laser scanning, as an initial shape. This results in a simpler workflow to achieve more accurate HBIM models that could be leveraged in DT simulations.

A Systematic Literature Mapping on Using Blockchain Technology in Identity Management

Although blockchain is an emerging technology, it has been applied in a lot of domains by leveraging its features. Traditional identity management systems have many issues regarding security and privacy of personal data. Blockchain has the potential to mitigate and avoid such issues by creating trust among the parties involved in the system while reducing reliance on third-party authorities. The first blockchain-based identity management solutions were launched in 2016. Since then, due to high demand, numerous primary and experimental studies and intatives have been carried out to provide solutions to this research topic. Along with that, there are also a lot of secondary studies to overview the current state of research on this topic. However, the number of systematic research articles is still limited and each research has it limitation. Through this study, we provide a novel systematic literature including categorization of studies into predefined categories (domain, research type, place of publication), analysis of publication frequency, co-authorship, number of papers citing each paper of all studied papers. Comparing to other systematic literature mapping studies, our paper provides a more comprehensive view of the studied articles. In particular, we analyze the number of citations, which no study has ever done. In this research, we studied 361 papers published from January 2009 to April 2022 in four big databases (IEEE Explore, ACM Digital Library, ScienceDirect, Springer Link), the largest number of articles studied compared to previous researches. The obtained results show that most of the articles under validation research type (providing solution and implementing that solution but not in real-world scenarios) propose solutions/systems, models/schemes and architectures to address general problems. We also find that the majority of authors works alone or collaborate in a separate group and co-work in only one paper. This shows that there is no long term collaboration in blockchain-based IdM identity management, and thus subsequent publications presenting real-world blockchain-based identity management products do not exist.

Microservice Deployment

Modern software development requires agile methods to deploy and scale increasingly demanded distributed systems. Practitioners have adopted the microservices architecture to cope with the challenges posed by modern software demands. However, the adoption and deployment of this architecture also creates technical and organizational challenges, potentially slowing down the development and operation teams, which require more time and effort to implement a quality deployment process that allows them to constantly release new features to production. The adoption of a DevOps culture, along with its practices and tools, alleviates some of these new challenges. In this paper we propose a guide for the deployment of systems with a microservices architecture, considering the practices of a DevOps culture, providing practitioners with a base path to start implementing the necessary platform for this architecture. We conducted this work following the Design Science Research Methodology for Information Systems (DSRM). In this way, we identified the problem, and also defined the solution objectives through the execution of a Systematic Literature Mapping and a Gray Literature Review, having as a result the proposed guide. This work can be summarized as follows: (I) Identification of practices and technologies that support the deployment of microservices. (II) Identification of recommendations, challenges, and best practices for the deployment process. (III) Modeling of the microservices deployment process using SPEM. (IV) Integration of the knowledge in a guide to deploy microservices by adopting DevOps practices.