Ethical, Cultural and Socio- Economic Factors of Software Piracy Determinants in a Developing Country

2009 ◽  
pp. 354-372
Author(s):  
Arsalan Butt
Keyword(s):  
University Students ◽  
Cultural Values ◽  
Software Industry ◽  
Empirical Studies ◽  
Software Piracy ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
The World ◽  
Future Research Directions

Consumer software piracy is widespread in many parts of the world. P2P based websites have made it easier to access pirated software, which has resulted in an increased emphasis on the issue of software piracy in both the software industry and research community. Some factors that determine piracy include poverty, cultural values, ethical attitudes, and education. Earlier empirical studies have looked at software piracy as an intentional behaviour. This study explores the demographic, ethical and socioeconomical factors that can represent software piracy as a social norm among a developing country’s university students. The authors have conducted a comparative analysis of university students from Pakistan and Canada, two countries that differ economically, socially, and culturally. The results of the study indicate that software piracy behaviour is different in both groups of students, but that there are also some similarities. Future research directions and implications are also presented.

Ethical, Cultural and Socio-Economic Factors of Software Piracy Determinants in a Developing Country

2009 ◽  
pp. 2812-2830
Author(s):  
Arsalan Butt ◽  
Adeel I. Butt
Keyword(s):  
University Students ◽  
Cultural Values ◽  
Software Industry ◽  
Empirical Studies ◽  
Software Piracy ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
The World ◽  
Future Research Directions

Consumer software piracy is widespread in many parts of the world. P2P based websites have made it easier to access pirated software, which has resulted in an increased emphasis on the issue of software piracy in both the software industry and research community. Some factors that determine piracy include poverty, cultural values, ethical attitudes, and education. Earlier empirical studies have looked at software piracy as an intentional behaviour. This study explores the demographic, ethical and socio-economical factors that can represent software piracy as a social norm among a developing country’s university students. The authors have conducted a comparative analysis of university students from Pakistan and Canada, two countries that differ economically, socially, and culturally. The results of the study indicate that software piracy behaviour is different in both groups of students, but that there are also some similarities. Future research directions and implications are also presented.

scholarly journals Nine Years of Mobile Healthcare Research: A Bibliometric Analysis

2021 ◽  
Vol 17 (10) ◽  
pp. 144
Author(s):  
Javed Ali ◽  
Ahmad Jusoh ◽  
Norhalima Idris ◽  
Alhamzah F. Abbas ◽  
Ahmed H. Alsharif
Keyword(s):  
Citation Analysis ◽  
Healthcare Research ◽  
Future Research ◽  
Central Theme ◽  
Research Directions ◽  
Mobile Healthcare ◽  
The World ◽  
Author Keywords ◽  
Future Research Directions ◽  
Scopus Database

<p class="0abstractCxSpFirst"><span lang="EN-US">Purpose: The purpose of the paper was to explore the central keyword searched (<em>e.g., mobile healthcare</em>). It also aimed at identifying the valuable contributions made by authors, journals, countries, and institutions and their associations in ‘<em>mobile healthcare</em>’ search around the world. </span></p><p class="0abstractCxSpMiddle"><span lang="EN-US">Methodology: Data was extracted from 2012 to 2020 by using Scopus database and analysed through VOSviewer software and MS Excel. PRISMA guidelines were used to screen the records. </span></p><p class="0abstractCxSpMiddle"><span lang="EN-US">Analysis: Co-authorship, Co-occurrence, Bibliographic Coupling and Co-citation analysis were executed to identify the links and collaborations among the authors, countries, author keywords and documents globally. </span></p><p class="0abstractCxSpMiddle"><span lang="EN-US">Findings: Results showed that <em>Yang X</em>. had the highest association with other authors and <em>Sood, S.K.</em> had published more documents than others. <em>Australia</em> was found to have the highest association with other countries, and <em>India</em> was leading other countries in publications. <em>Computers and Electrical Engineering</em> was found to be the leading journal in publication of documents. </span></p><p class="0abstractCxSpLast"><span lang="EN-US">Originality:<em> </em>This study, to best of our knowledge, was the first of its kind in mapping the ‘<em>mobile healthcare</em>’ search which was designed till 2020. This will aid in shaping and understanding the central theme and set the future research directions for the researchers.</span></p>

scholarly journals Individualism and collectivism in advertising – An overview

2022 ◽  
Vol 4 (1) ◽  
pp. 30-36
Author(s):  
TAM PHAM
Keyword(s):  
Cultural Values ◽  
Empirical Studies ◽  
Modern Society ◽  
Cultural Dimensions ◽  
Future Research ◽  
Production And Consumption ◽  
Individualism And Collectivism ◽  
The World

Advertising is increasingly important in every corner of the world.  It has become an indispensable part for both producers and consumers in modern society to boost the production and consumption of the products. To succeed in advertising, one component advertisers cannot ignore is cultural values because they are one of the determinants of customers’ behavior. Of the cultural dimensions, individualism and collectivism are considered the most important one. This study, therefore, sets the light on an overview of how individualism and collectivism is manifested in advertising in term of advertising themes, advertising creative tactics and linguistic advertising features in empirical studies. It then specifies what have and has not been done on the topic alike so that anyone interested in the field will find the gaps for their future research.

Industry 4.0 in Pumping Applications

2021 ◽  
pp. 941-954
Author(s):  
Luiz Eduardo Marques Bastos
Keyword(s):  
Working Conditions ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
Future Research ◽  
Research Directions ◽  
Equipment Operation ◽  
The World ◽  
Future Research Directions ◽  
Traditional Industry

This chapter addresses the so-called Industry 4.0 and some of its applications in industrial pumps, seeking to emphasize its characteristics and benefits. The introduction of 4.0 industry technologies in this traditional industry can cause profound changes in existing business models, providing greater customer satisfaction, either improving the effectiveness of equipment operation, contributing to better adjustment to working conditions, and also prolonging their life cycle. We are still in the early stages of these technologies and a lot is yet to evolve; however, there are already interesting examples developed by some pump manufacturers around the world, some of which will be mentioned in this chapter. It is subdivided into three main parts, namely brief historical panorama from the first industrial revolution to Industry 4.0, current applications in the industrial pump industry, and finally, future research directions and conclusion.

Digitizing Healthcare

2010 ◽  
pp. 31-41
Author(s):  
Yasin Ozcelik ◽  
Claire H. Carter ◽  
Maryann Clark ◽  
Alejandro Martinez
Keyword(s):  
The United States ◽  
Medication Administration ◽  
Future Research ◽  
Healthcare Industry ◽  
Future Trends ◽  
Research Directions ◽  
Adoption And Implementation ◽  
The World ◽  
Future Research Directions ◽  
Promote Patient Safety

Proliferation of the Internet and Information Technology (IT) has led to many innovations in the healthcare industry. Among such innovations are the Electronic Medication Administration Record (eMAR) and the Bedside Medication Verification (BMV), both of which have been widely implemented by hospitals around the world. In this regard, the goal of this chapter is three-fold. It first describes the underlying work-flow utilized in these systems by comparing it with traditional methods of medication administration. Then it investigates the adoption and implementation of eMAR and BMV in hospitals in the United States, the conversion from traditional medication administration to eMAR documentation, and how utilization of eMAR and BMV can promote patient safety. The chapter concludes with the exploration of future trends in medication administration through the utilization of eMAR and BMV, and highlights future research directions in the field.

Barriers to the Success of Total Quality Management Implementation in Vietnam's Textile and Garment Companies

2019 ◽  
Vol 10 (3) ◽  
pp. 57-73
Author(s):  
Emmanuel (Manos) Kalargiros ◽  
Cindy Strickler ◽  
Long Pham ◽  
Thomas DeNardin ◽  
Tatyana N Coomer
Keyword(s):  
Quality Management ◽  
Service Quality ◽  
Total Quality Management ◽  
Future Research ◽  
Total Quality ◽  
Research Directions ◽  
The World ◽  
Managerial Implications ◽  
Future Research Directions ◽  
The Common

Vietnam is classified as one of the five largest textile and garment exporters in the world. With its ambition to engage more effectively in the global textile and garment supply chains, Vietnam's textile and garment enterprises have been implementing total quality management (TQM) programs in order to improve their product and service quality. However, many of Vietnam's textile and garment enterprises are facing barriers to successful TQM implementation. The objective of this study is to empirically examine these barriers to TQM faced by Vietnam's textile and garment enterprises and to compare the results with previous studies conducted with U.S. and Mexican businesses. The results of this study indicate five barriers to Vietnam's textile and garment enterprises' successful TQM implementation. Among these five barriers, the common barrier shared by Vietnamese, US and Mexican businesses is that employees are resistant to change. Managerial implications and future research directions are discussed.

scholarly journals Social skills of gifted and talented children

2014 ◽  
Vol 19 (4) ◽  
pp. 288-295 ◽  
Author(s):  
Maria Luiza Pontes de França-Freitas ◽  
Almir Del Prette ◽  
Zilda Aparecida Pereira Del Prette
Keyword(s):  
Social Skills ◽  
Gifted And Talented ◽  
Empirical Studies ◽  
Future Research ◽  
Gifted Children ◽  
Research Directions ◽  
Social Skills Rating System ◽  
Demographic Questionnaire ◽  
The Social ◽  
Future Research Directions

There is a clear lack of empirical studies about the socio-emotional characteristics of gifted and talented children, especially in the context of social skills. This study aimed to characterize the social skills of such children, identifying similarities and differences in the skill repertoire in comparison with non-gifted children. The sample contained 394 children from 8 to 12 years old, of which 269 children were identified as gifted. All participants answered the Social Skills Rating System and Socio-demographic Questionnaire. The results indicate a more elaborate social skills repertoire for gifted children in all categories with the exception of empathic skills. The implications of these results for the planning of educational programs are discussed and future research directions are identified.

scholarly journals Graph Neural Networks: Taxonomy, Advances, and Trends

2022 ◽  
Vol 13 (1) ◽  
pp. 1-54
Author(s):  
Yu Zhou ◽  
Haixia Zheng ◽  
Xin Huang ◽  
Shufeng Hao ◽  
Dengao Li ◽  
...  
Keyword(s):  
Neural Networks ◽  
Real World ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Future Research Directions ◽  
Graph Neural Networks ◽  
Low Dimensional

Graph neural networks provide a powerful toolkit for embedding real-world graphs into low-dimensional spaces according to specific tasks. Up to now, there have been several surveys on this topic. However, they usually lay emphasis on different angles so that the readers cannot see a panorama of the graph neural networks. This survey aims to overcome this limitation and provide a systematic and comprehensive review on the graph neural networks. First of all, we provide a novel taxonomy for the graph neural networks, and then refer to up to 327 relevant literatures to show the panorama of the graph neural networks. All of them are classified into the corresponding categories. In order to drive the graph neural networks into a new stage, we summarize four future research directions so as to overcome the challenges faced. It is expected that more and more scholars can understand and exploit the graph neural networks and use them in their research community.

scholarly journals A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction

2021 ◽  
Vol 11 (6) ◽  
pp. 7824-7835
Author(s):  
H. Alalawi ◽  
M. Alsuwat ◽  
H. Alhakami
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Future Research ◽  
Classification Algorithms ◽  
Classification Methods ◽  
Research Directions ◽  
The World ◽  
Modern Methods ◽  
Future Research Directions ◽  
Class Labels

The importance of classification algorithms has increased in recent years. Classification is a branch of supervised learning with the goal of predicting class labels categorical of new cases. Additionally, with Coronavirus (COVID-19) propagation since 2019, the world still faces a great challenge in defeating COVID-19 even with modern methods and technologies. This paper gives an overview of classification algorithms to provide the readers with an understanding of the concept of the state-of-the-art classification algorithms and their applications used in the COVID-19 diagnosis and detection. It also describes some of the research published on classification algorithms, the existing gaps in the research, and future research directions. This article encourages both academics and machine learning learners to further strengthen the basis of classification methods.

scholarly journals Automated Machine Learning on Graphs: A Survey

2021 ◽  
Author(s):  
Ziwei Zhang ◽  
Xin Wang ◽  
Wenwu Zhu
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
Vast Number ◽  
Neural Architecture ◽  
Future Research Directions ◽  
Automated Machine Learning ◽  
Optimal Machine

Machine learning on graphs has been extensively studied in both academic and industry. However, as the literature on graph learning booms with a vast number of emerging methods and techniques, it becomes increasingly difficult to manually design the optimal machine learning algorithm for different graph-related tasks. To solve this critical challenge, automated machine learning (AutoML) on graphs which combines the strength of graph machine learning and AutoML together, is gaining attention from the research community. Therefore, we comprehensively survey AutoML on graphs in this paper, primarily focusing on hyper-parameter optimization (HPO) and neural architecture search (NAS) for graph machine learning. We further overview libraries related to automated graph machine learning and in-depth discuss AutoGL, the first dedicated open-source library for AutoML on graphs. In the end, we share our insights on future research directions for automated graph machine learning. This paper is the first systematic and comprehensive review of automated machine learning on graphs to the best of our knowledge.

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