Journal of Information Systems Engineering and Management
ISSN / EISSN : 2468-2071 / 2468-4376
Published by: Veritas Publications LTD (10.21601)
Total articles ≅ 143
Latest articles in this journal
Published: 19 July 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.21601/jisem/11098
The tourism industry has dynamized the economy of the countries by offering places, as well as related tourism experiences, products, and services. In the context of the COVID-19 pandemic, some of these tourist destinations were affected by subjective perceptions of users on social networks, within stands out Twitter. To achieve an objective perception from user comments posted on Twitter in front of a tourist destination, we propose a PANAS-tDL (Positive and Negative Affect Schedule - Deep Learning) model which integrates into a single structure a neural model inspired by a Stacked neural deep learning model (SDL), as well as the PANAS-t methodology. For this process, a database of comments was available for four destinations (Colombia, Italy, Spain, USA), and its tourist’s products and services, before and in the context of COVID-19 pandemic throughout the year 2020. The proposed model made it possible to generate objective perceptions of the tourist destinations and their products and services using an automatic classification of comments in each category defined by the PANAS-t methodology (11-sentiments). The results show how users’ perceptions were towards the negative sentiment zone defined by this methodology, according to the evolution of the COVID-19 pandemic worldwide throughout the year 2020. The proposed model also integrated an automatic process of normalisation, lemmatisation and tokenisation (Natural language process - NLP) for the objective characterization of perceptions, and due to its capacity for adaption and learning, it can be extended for the evaluation of new tourist destinations, products or services using comments from different social networks.
Published: 23 June 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.21601/jisem/11007
Index structures were often used to optimise fetch operations to external storage devices (secondary memory). Nowadays, this also holds for increasingly large amounts of data residing in main-memory (primary memory). Within this scope, this work focuses on index structures that efficiently insert, query and delete valid-time data from very large datasets. This work performs a comparative study on the performance of the Interval B+ tree (IB+ tree) and the Improved Interval B+ tree (I2B+ tree): a variant that improves the time-efficiency of the deletion operation by reducing the number of traversed nodes to access siblings. We performed an extensive analysis of the performance of two operations: insertions and deletions, on both index structures, using multiple datasets with growing volumes of data, distinct temporal distributions and tree parameters (time-split alpha and node order). Results confirm that the I2B+ tree globally outperforms the IB+ tree, since, on average, deletion operations are 7% faster, despite insertions requiring 2% more time. Furthermore, results also allowed to determine the key factors that augment the performance difference on deletions between both trees.
Published: 23 June 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.21601/jisem/11008
Regional Integration refers to the process of states coming together to sign agreements where they agree to cooperate in certain areas common to them. The East African Community (EAC) which was founded on November 30, 1999, identified three integration pillars; common Market protocol, customs union and political federation. In attempt to achieve the named pillars, financial markets have been identified as a key driver for common market and customs union. The challenge however is that the East African countries run the most expensive stocks on the African Continent and this has greatly influenced trade volumes and investor appetite. When these markets are integrated it allows collective bargaining thereby increasing their market share across the region other than a given country running its own exchange. This paper presents a software platform that will enable an investor to purchase and sell stocks irrespective of any location in the East African Region thus spur the development of stock market in terms of volume and competitiveness.
Published: 28 May 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.21601/jisem/10958
This paper presents the report of a social media analytics (SMA) review. The review conducted to find out the methods and tools used in social media analytics, types of social media platforms which the SMA are performed and the field which SMA has been performed. Social media contains a lot of user uploaded data in different formats like text, images, photos, video etc. These large volumes of data are converted in meaningful information which can be understood using different methods and tools which are called social media analytics. A literature review of articles published between 2010-2020 has been conducted using articles obtained from reputable databases IEEE Xplore, ACM digital, Emerald insight, Springer Link and Science direct. A number of 44 articles have been selected for review from 110 retrieved papers. The paper has been reviewed according to the study objectives. The study found that SMA tools and techniques which have been used are sentiment analysis, youtube analytics, visible intelligence, IBM Watson tool and predictive models. The social media platforms which were mostly used are twitter, facebook, youtube, trip advisor and blogs. SMA has been observed in different fields like agriculture, politics, health, social and business sector.
Published: 28 May 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.21601/jisem/10957
With the implementation of the General Data Protection Regulation (GDPR) in the European Union, companies must be able to ensure that applications requesting the user to record personal data inform the user of the purpose for which the data collected is being collected. Furthermore, it is also necessary to ensure the data owner has given his/her explicit consent to the collection of these data and that such consent is recorded. This imperative has required a reworking of the interfaces of the applications. In this sense, this study seeks to explore the policies and practices that are being followed by organizations in designing interfaces. Four case studies were considered in the development of this study to explore this phenomenon in the dimensions of pragmatic hedonic processes of interface design, approaches to collect consent, and how personal data is managed.
Published: 4 February 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.29333/jisem/9671
The average rate of fruit and other fresh food products that perishes during transport varies between 10 and 25%. This volume of losses justifies the need for quality control means. Under the Software as a Service (SaaS) paradigm, the Real-Time Logistic Monitoring (RTLM) system aims to respond to this problem through real-time monitoring of the conditions in which the fruit is transported. The RTLM project integrates a responsive web application, a monitoring services system, an Extract, Transform & Load (ETL) engine, a set of integrated services through sensor plugins developed with Arduino technology, and a Grafana dashboard instance.
Published: 23 January 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.29333/jisem/9662
This article presents the process of creating a framework for the front-end development of web applications with accessibility for the visually impaired and responsivity. As a result, Acceasy was created. Its operation, some examples and its contributions to web application developers and end users are presented. The framework created proved to be able to generate web pages with responsivity support, semantic codes and use of accessibility markings automatically, thus facilitating the work of developers. The pages created with the tool also show improvements in accessibility, giving support to screen readers and keyboard navigation. The framework is still in development. Some validations still need to be made and at the end, future works are listed.
Published: 21 January 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.29333/jisem/9619
Currently, within the field of Software Engineering (SE), it has been proposed to integrate four variables to develop quality software: i.) A flexible development methodology (traditional, agile, or hybrid) and adapted to the context particular to each application, ii.) a work team (trained, experienced, highly innovative, and with leadership), iii.) cutting-edge technologies, represented in the quality of the equipment and tools (automated or semi-automated) facilitating the planning, design, and manufacturing processes of products and, iv.) the inclusion of usability techniques in the process, as a guarantee to manufacture products according to customer needs. A literature search indicates that in Puerto Rico so far, there are no published articles that allow knowing the state of the art of the SE on the Island and, therefore; the organizational schemes and the type of workgroup that predominates in software development companies are unknown. Almost twenty years after the promulgation of the Agile Manifesto, in Puerto Rico, the degree of adoption of the new paradigms is still unknown. It is necessary to search for information within companies to understand what strategies are used by developers and what benefits report with their use. This new study seeks to evaluate, synthesize and present the empirical findings on software development in Puerto Rico (PR), to contrast or update the previously collected data and to know the type of applications that are carried out on the Island, what methodologies of work are the most used, how agile methods are perceived and if the approach towards usability techniques has changed in recent decades. These aspects are central to proposing to software developers an integration framework according to their needs and the demands of their clients.
Published: 21 January 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.29333/jisem/9620
This paper automatically evaluates the readability of Spanish e-government websites. Specifically, the websites collected explain e-government administrative procedures. The evaluation is carried out through the analysis of different linguistic characteristics that are presumably associated with a better understanding of these resources. To this end, texts from websites outside the government websites have been collected. These texts clarify the procedures published on the Spanish Government’s websites. These websites constitute the part of the corpus considered as the set of easy documents. The rest of the corpus has been completed with counterpart documents from government websites. The text of the documents has been processed, and the difficulty is evaluated through different classic readability metrics. At a later stage, automatic learning methods are used to apply algorithms to predict the difficulty of the text. The results of the study show that government web pages show high values for comprehension difficulty. This work proposes a new Spanish-language corpus of official e-government websites. In addition, a large number of combined linguistic attributes are applied, which improve the identification of the level of comprehensibility of a text with respect to classic metrics.
Published: 20 January 2021
Journal of Information Systems Engineering and Management, Volume 6; https://doi.org/10.29333/jisem/9618
Predicting behaviors around telemedicine acceptance in developing countries is an important developing area of study. This importance has been enhanced since the emergence of the COVID-19 pandemic, especially in Latin America. In this context, this study aims to explore the effect of plasticity on telemedicine acceptance in Brazil. This paper focuses on Brazilian patients and their acceptance of telemedicine through the Theory of Planned Behavior and the concept of Plasticity as a superordinate factor of the patients’ personality traits. An online survey of Brazilian patients was carried out, and structural model modeling was then utilized. Results indicate that the proposed model explains 62.1% of the behavioral intention of the use of telemedicine by the patients. Furthermore, the findings suggest that attitude has the most substantial direct effect on behavioral intention, with plasticity playing a considerable role in the strength of the impact. Government strategies for the spread of telemedicine in Latin America could consider these results for their design.