Journal of Information Systems and Technology Management
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Understanding the corpus of mobile payment services research: an analysis of the literature using co-citation analysis and social network analysis
Full text linkMobile Payment Services have advanced in the last two decades, gaining the attention of experts and researchers from around the world. A number of reviews and literature analysis studies have been carried out, aimed at analysing the numerous dimensions of mobile payment services; however, no researcher has attempted a co-citation analysis to scrutinise and comprehend the core knowledge structures that are integral parts of mobile payment services studies. Therefore, in order to fill this research gap, this research article aims to interpret the corpus of mobile payment services research, which was published during the period of 1997 to June 2017. Bibliometric and Social Network Analysis (SNA) methods were employed to formulate the core intellectual structure of research targeting mobile payment services. The Web of Knowledge (WoK) database was the key source from where 406 articles and 3,424 citations were obtained. These documents were analysed using co-citation analysis. UCINET was used to enlist the keynote research papers in the realm of mobile payment services as per factor analysis, citation and co-citation analysis, multidimensional scaling and centrality measurement. Seven core clusters of mobile payment services research emerged as a critical finding of this study; these clusters include (1) Adoption and usage; (2) Trust, risk and security; (3) Application; (4) Scheme; (5) Protocol; (6) Architecture; (7) Mobile payment corporation. The findings of this research study provide crucial guidelines for practitioners and researchers involved in this field.Mobile Payment Services have advanced in the last two decades, gaining the attention of experts and researchers from around the world. A number of reviews and literature analysis studies have been carried out, aimed at analysing the numerous dimensions of mobile payment services; however, no researcher has attempted a co-citation analysis to scrutinise and comprehend the core knowledge structures that are integral parts of mobile payment services studies. Therefore, in order to fill this research gap, this research article aims to interpret the corpus of mobile payment services research, which was published during the period of 1997 to June 2017. Bibliometric and Social Network Analysis (SNA) methods were employed to formulate the core intellectual structure of research targeting mobile payment services. The Web of Knowledge (WoK) database was the key source from where 406 articles and 3,424 citations were obtained. These documents were analysed using co-citation analysis. UCINET was used to enlist the keynote research papers in the realm of mobile payment services as per factor analysis, citation and co-citation analysis, multidimensional scaling and centrality measurement. Seven core clusters of mobile payment services research emerged as a critical finding of this study; these clusters include (1) Adoption and usage; (2) Trust, risk and security; (3) Application; (4) Scheme; (5) Protocol; (6) Architecture; (7) Mobile payment corporation. The findings of this research study provide crucial guidelines for practitioners and researchers involved in this field
Cryptocurrency: a mine of controversies
Full text linkCryptocurrency is attracting the attention of many disciplines. Based on a systematic literature review, thestate of art of academic research on cryptocurrency was investigated, demonstrating its complexity andthe lack of consensus about several issues, as its definition, its operation without a financial institution,the impacts on economy and its future developments. Considering these issues, Actor-Network Theorywas selected as a theory that can provide methods, such as controversy mapping, to understand thiscomplex subject. The article analyzes this scenario, presenting a set of research topics that can beconsidered to study controversies related to cryptocurrency.Cryptocurrency is attracting the attention of many disciplines. Based on a systematic literature review, thestate of art of academic research on cryptocurrency was investigated, demonstrating its complexity andthe lack of consensus about several issues, as its definition, its operation without a financial institution,the impacts on economy and its future developments. Considering these issues, Actor-Network Theorywas selected as a theory that can provide methods, such as controversy mapping, to understand thiscomplex subject. The article analyzes this scenario, presenting a set of research topics that can beconsidered to study controversies related to cryptocurrency
Telehealth: a tool for technological innovation with perspectives of promotion of indigenous healthcare in the state of Amazonas, Brazil
Full text linkThis article aims to present the Telehealth system implemented at indigenous villages in the state of Amazonas, Brazil. Faced with the peculiar configurations of the state of Amazonas, Telehealth and all its tools can alleviate the deficiency in the number of active health professionals working in this region, giving access to health, especially in indigenous villages. Although the Federal Constitution of 1988 brought the concept of universalization of health, it is known that the legislation alone does not make this right into reality. In this context, the implementation of the Telehealth tool is presented as an innovative format, with possibilities to reach out to a larger number of locations with difficult access, making it possible to reduce the factors that impede medical assistance. The indigenous population in the state of Amazonas is large in comparison to the other states of the federation, and amongst the thirtyfour (34) indigenous districts, seven (7) are entirely within the state’s borders and are areas of great territorial extension. This research may contribute to the discussions about the need to seek innovative formats for healthcare of the indigenous population in remote regions
The use of portfolio management for strategic alignment – a survey with brazilian companies
Full text linkThe number of organizations that use the Project Portfolio Management - PPM has increased considerablyworldwide, as it provides an approach to the coordinated management of the components portfolio,aiming to achieve the strategies of organizations. The objective of this work was, thru a quantitativeresearch, presents Brazilian organizations use of PPM as a mechanism to promote alignment with thestrategic management. The results obtained in this research were compared with the data results obtainedin PMSurvey.org´s 2012 research. A survey submited for 56 brazilian public and private companies wasused for this study to identify project´s portfolio alignment with strategic goals and objectives.The number of organizations that use the Project Portfolio Management - PPM has increased considerablyworldwide, as it provides an approach to the coordinated management of the components portfolio,aiming to achieve the strategies of organizations. The objective of this work was, thru a quantitativeresearch, presents Brazilian organizations use of PPM as a mechanism to promote alignment with thestrategic management. The results obtained in this research were compared with the data results obtainedin PMSurvey.org´s 2012 research. A survey submited for 56 brazilian public and private companies wasused for this study to identify project´s portfolio alignment with strategic goals and objectives
Model development to support the process of developing a decision support system
Full text linkNessa pesquisa exploratória objetiva-se construir um modelo que subsidie o processo de desenvolvimento de software para avaliar um sistema de gestão. Utilizou-se a Metodologia Multicritério de Apoio à Decisão - Construtivista (MCDA-C), a qual identifica, organiza e mensura, ordinal e cardinalmente, os aspectos tidos em conta pelo decisor para a gestão do contexto. Confirma-se a possibilidade de construção de um modelo que explicite os requisitos do cliente, visando avaliar o grau de atendimento que o software proposto, denominado Monitoring and Improving Context (MIC), alcança, e assim ser utilizado como instrumento de negociação para a definição do sistema necessário.The aim of this exploratory research is to construct a model to support a process of software development in order to evaluate a management system. The Multicriteria Methodology of Decision Aiding - Constructivist (MCDA-C) was used, which supports the identification, organization and ordinal and cardinal measurement of the aspects taken into account by the decision maker for the context management. We argue that it is possible to construct a model with the specification of the customer requirements to evaluate the degree of service that the proposed software named Monitoring and Improving Context (MIC) achieves in relation to the demands of the customer, and thus be used as an instrument for the definition of the final system
The politics of data portals in inter- and transdisciplinary research
Full text linkIn this paper, we argue that the ongoing processes of datafication and dataism are constraining initiatives to construct open data portals contributing to inter- and transdisciplinary research. The former overvalues quantitative data, whereas the latter reinforces the belief that ‘raw data’ is neutral and apolitical, ignoring how data is processed. Based on the case study of an open data portal being developed at an inter- and transdisciplinary research institute, we argue that datafication and dataism are highly problematic trends, because they marginalize qualitative data employed in critical, constructivist, and other interpretive methods, thereby limiting the possibility of complementing and extending each other. Nonetheless, we also maintain that these trends are not technologically determined but are modifiable, based on the design of data portals. Accordingly, we conclude by offering suggestions for constructing data portals, such as opening up the design process and democratizing standards.In this paper, we argue that the ongoing processes of datafication and dataism are constraining initiatives to construct open data portals contributing to inter- and transdisciplinary research. The former overvalues quantitative data, whereas the latter reinforces the belief that ‘raw data’ is neutral and apolitical, ignoring how data is processed. Based on the case study of an open data portal being developed at an inter- and transdisciplinary research institute, we argue that datafication and dataism are highly problematic trends, because they marginalize qualitative data employed in critical, constructivist, and other interpretive methods, thereby limiting the possibility of complementing and extending each other. Nonetheless, we also maintain that these trends are not technologically determined but are modifiable, based on the design of data portals. Accordingly, we conclude by offering suggestions for constructing data portals, such as opening up the design process and democratizing standards
Big data quality dimensions: a systematic literature review
Full text linkAlthough big data has become an integral part of businesses and society, there is still concern about the quality aspects of big data. Past research has focused on identifying various dimensions of big data. However, the research is scattered and there is a need to synthesize the ever involving phenomenon of big data. This research aims at providing a systematic literature review of the quality dimension of big data. Based on a review of 17 articles from academic research, we have presented a set of key quality dimensions of big data.Although big data has become an integral part of businesses and society, there is still concern about the quality aspects of big data. Past research has focused on identifying various dimensions of big data. However, the research is scattered and there is a need to synthesize the ever involving phenomenon of big data. This research aims at providing a systematic literature review of the quality dimension of big data. Based on a review of 17 articles from academic research, we have presented a set of key quality dimensions of big data
The future digital work force: Robotic Process Automation (Rpa)
Full text linkRobotic Process Automation (RPA) is a new wave of the future technologies. Robotic Process Automation is one of the most advanced technologies in the area of computers science, electronic and communications, mechanical engineering, and information technology. It is a combination of both hardware and software, networking and automation for doing things very simple. In this light, the research manuscript investigated the secondary data - which is available on google, academic and research databases. The investigation went for totally 6 months, i.e., 1-1-2018 to 30-6-2018. A very few empirical articles, white papers, blogs and were found RPA and came across to compose this research manuscript. This study is exploratory in nature because of the contemporary phenomenon. The keywords used in searching from the database were Robotic Process Automation, RPA, Robots, Artificial Intelligence, Blue Prism. The study finally discovered that Robots and Robotic Process Automation technologies are becoming compulsory as a part to do business operations in organizations across the globe. Robotic Process Automation can bring immediate value to the core business processes including employee payroll, employee status changes, new hire recruitment, and onboarding, accounts receivable and payable, invoice processing, inventory management, report creation, software installations, data migration, and vendor onboarding etc. to name a few applications. Besides, the Robotic Process Automation has abundant applications including healthcare and pharmaceuticals, financial services, outsourcing, retail, telecom, energy and utilities, real estate and FMCG and many more sectors. To put in the right place of RPA in business operations, their many allied technologies are working at the background level, artificial intelligence, machine learning, deep learning, data analytics, HR analytics, virtual reality (second life), home automation, blockchain technologies, 4D printing etc. Moreover, it covers the content of different start-ups companies and existing companies - their RPA applications used across the world. This manuscript will be a good guideline for the academicians, researchers, students, and practitioners to get an overall idea
The E-Government adoption in Higher Education in Portugal: The Case of Iscsp at Lisbon University
Full text linkThis paper studied the adoption of information technologies in the higher education area in Portugal, analysing the case of a centenary institution (Instituto Superior de Ciências Sociais e Políticas – Universidade de Lisboa) and trying to understand how its leadership managed and organized the ICT capabilities to deliver value to students, teachers and all other stakeholders. Innovative ICT capabilities were introduced within a planned, motivated and controlled environment where leadership styles and management practices always focused on business success. We applied a program transformation model based in good practices of policy research innovation and diffusion models complemented with program management approaches. Through the analysis of the official documentation and data supplied by the administrative services we were able to confirm the existence of a progressive digital transformation of this institution
Accelerating the internet in the presence of big data: reducing user delays by leveraging historical user request patterns for web caching
Full text linkApproximately 4 billion people have access to the Internet, additionally 23 billion devices are connected as of 2018. This has allowed for a substantial growth in data collection which has allowed for Big Data to flourish. The continued increase in user, devices, and Big Data usage has created a significant intensification in Internet traffic. This in turn has the potential to increase user delays when accessing data on the Internet. There are a number of ways to help reduce user latency, web caching is able to reduce web user delays in addition to reducing network traffic and the load on web servers. In this study we propose a proxy level web caching mechanism leveraging historical web patterns to help reduce user latency and accelerate the Internet. In addition we survey the state of the art of other caching approaches. Our investigation shows that using historical patterns as part of a proxy caching mechanisms in large scale networks can significantly shorten the latency for users in this era of Big Data