Scielo RSS <![CDATA[JISTEM - Journal of Information Systems and Technology Management]]> http://www.scielo.br/rss.php?pid=1807-177520200001&lang=pt vol. 17 num. lang. pt <![CDATA[SciELO Logo]]> http://www.scielo.br/img/en/fbpelogp.gif http://www.scielo.br <![CDATA[INFORMATION TECHNOLOGY GOVERNANCE IN SMALL AND MEDIUM ENTERPRISES - A SYSTEMATIC MAPPING]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752020000100300&lng=pt&nrm=iso&tlng=pt Abstract Information Technology (IT) governance in small and medium-sized businesses is a subject that still requires more effort. Many of the studies that deal with this subject refer to large companies. IT governance structures, originally developed for the context of large enterprises such as COBIT, ISO/IEC 35800 or ITIL, when applied to the context of small and medium enterprises, lead to undesirable results and failures in the deployment process. The objective of this work was to perform a systematic mapping on IT governance in small and medium enterprises between 2007 and 2017. Systematic mapping studies are useful for categorizing and summarizing the existing information concerning a research question in an unbiased manner. Thus, from an initial set of 63 papers, a total of 17 research papers were selected for the mapping study. The results obtained allowed us to reach conclusions concerning the state-of-the-art of IT governance mechanisms, theories applied in the context and the consequences of IT governance. From the results of this study it was possible to perceive the low use of relational mechanisms of IT governance in the studied context, the constant need to adapt frameworks such as COBIT and ITIL, so that they can adapt to the reality of SMEs, the wide variety of theoretical approaches and the importance, for SMEs, of the concept of IT value for the business. <![CDATA[UNDERSTANDING THE CORPUS OF MOBILE PAYMENT SERVICES RESEARCH: AN ANALYSIS OF THE LITERATURE USING CO-CITATION ANALYSIS AND SOCIAL NETWORK ANALYSIS]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752020000100301&lng=pt&nrm=iso&tlng=pt Abstract 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. <![CDATA[WOULD BE SMART BALINESE CITIES (INDONESIA): AN EXPLORATORY INDONESIAN CASE]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752020000100302&lng=pt&nrm=iso&tlng=pt ABSTRACT The word “Smart Cities” is the buzzword in every corner of the world. Many countries across the continents are trying to plant new smart cities or in the conversion process of existing cities. Bali (Indonesia) also seems to be in a conversion process of its Brown Field Cities. This research manuscript attempts to explore the Bali (Island) as a Smart Island regarding Smart Environment, Smart Economy, Smart Governance, Smart Mobility, Smart Living and Smart People dimensional perspective. This research manuscript has adopted a triangulation method for thematic narration since the study is qualitative and case study. The study explored that Bali/Balinese cities is/are still baby stepping of smart cities plantations. There needs to be lot of work has to be done to become Smart Bali Island. The findings will help the Bali government to understand how far they could become full-fledged Smart Island by providing the Quality of Life to citizens and economic development. <![CDATA[BIG DATA QUALITY DIMENSIONS: A SYSTEMATIC LITERATURE REVIEW]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752020000100303&lng=pt&nrm=iso&tlng=pt ABSTRACT 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. <![CDATA[ERRATUM]]> http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-17752020000100901&lng=pt&nrm=iso&tlng=pt ABSTRACT 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.