Resumo em Inglês:

ABSTRACT The primary goal of this study was to identify potential factors that might contribute to patient punctuality issues, while also assessing the satisfaction of a proposed intervention. In addition, we aimed to learn more about the psychosocial and behavioral implications that patients face with regards to arriving on time for their primary care visits. A mixed-method research study was used to identify and quantify potential factors that might contribute to patient punctuality issues, while also assessing the satisfaction of a proposed intervention. In addition to possible factors that contribute to punctuality, we aimed to learn more about how patients are affected when they arrive late for appointments. Through qualitative assessment, we explored the psychosocial and behavioral implications that patients face with regards to arriving on time for their primary care appointments. A total of 524 individuals out of 1050 patients (50%) responded to the paper-based survey. Of the 524 adult respondents, we excluded 103 (19.7%) participants due to the missing data on either of their historical behavior patterns, future intentions for arrival, or their definition of appointment time. We analyzed the data for the remaining 421 eligible survey participants. In addition, seven of the eight patient interviews were transcribed and analyzed in order to identify themes using the patient’s own words to better understand the psychosocial and behavioral implications patients face on arriving to their appointment on time. Three primary themes emerge in the interviews related to the perception of arriving late to appointments at the FMC. The findings of this study indicate that regardless of patients’ interpretation of appointment time, they typically arrive 10-15 minutes before the appointment time. In addition, there is a significant connection between patients’ perceptions of historically arriving late to appointments and the intent to arrive very early to their future appointments. Combined with the qualitative results, this study suggests that most patients are motivated to be on time, in some cases seeing the idea of lateness as a contradiction of their own self-identity. The behavioral causes and implications of the findings are explained using the concept of Fear Appeals and the Protection Motivation Theory (PMT).

Resumo em Português:

RESUMO Este estudo analisa implicações da digitalização e o surgimento dos Bancos Digitais no Brasil. Para tanto, descreve a evolução dos canais de atendimento (2011-2018) e a regulamentação relacionada (2013-2019), bem como analisa implicações causadas ao mercado e as interações dos clientes do Nubank®. Este artigo utiliza abordagem qualitativa, com etapas descritiva e exploratória, dados secundários e análise documental. Como resultados, o estudo apontou: iniciativas de investimento em digitalização da relação com clientes; ampliação do uso de estratégias de comunicação dos Bancos Digitais pelos Bancos Tradicionais; 16 normativos do Banco Central Brasileiro sobre o tema; e que a maioria dos clientes Nubank® atua como promotores da marca.

Resumo em Inglês:

ABSTRACT This study analyzes the implications of digitalization and the emergence of Digital Banks in Brazil. Therefore, it describes the evolution of service channels (2011-2018) and related regulations (2013-2019). It analyzes implications caused to the market and Nubank® customer interactions. It uses a qualitative approach, descriptive and exploratory steps, secondary data and document analysis. As a result, the study pointed out: investment initiatives in the digitalization of customer relations; expansion of the use of communication strategies of Digital Banks by Traditional Banks; 16 regulations issued by the Brazilian Central Bank on the subject; and that the majority of Nubank® customers act as brand promoters.

Resumo em Inglês:

ABSTRACT Information systems (IS) exist in order to intensify the information flow within an organization, at all levels, specifically to allow set of data to reach the designated person, in the right format, and at the right time, generating a positive and beneficial contribution to the organization. Therefore, it is essential to investigate their intended purpose and how they affect the organization's effectiveness in particular. This paper aims to investigate two different implementations of information systems in two organizations and understand the impact these implementations have on the respective organization’s effectiveness. We use three antecedents, namely, time-saving, workload, and system reliability, to distinguish users’ perceptions and experience with the system and how they affect the organization’s effectiveness. An interpretative method is used, due to the paradigm’s focus on social constructions and human interpretations to explain reality. The result of the findings shows that the implementation of a new IS has a greater impact on an organization’s effectiveness, compared to an older system that gets updated and add-ons. By comparing diversities between different implementations of information systems, focusing on how the chosen approach affects the effectiveness in each organization, a better grasp, and understanding of an area that lacks research and attention is highlighted.

Resumo em Inglês:

ABSTRACT: Social media platforms like Twitter have become an integral part of daily life. Twitter is emerging as a powerful digital platform for people to express their emotions and opinions on varied events and issues with the world. Working from home during the coronavirus lockdown is one phenomenon that has affected billions across the world, generating intense debates and polarizing global factions. This study aimed to analyze the sentiments of the Indian workforce about their work from home experience imposed during the coronavirus lockdown. To this end, a total 10,400 relevant English language tweets were collected from Twitter. Sentiment analysis and social network analysis were performed on the retrieved tweets. The results indicated that though the sentiments of the tweets were about consistently distributed among the three principal categories (positive, negative and neutral), there was a predominance of positivity towards working from home due to the coronavirus lockdown. Further, social network analysis of the tweets unraveled varied clusters indicating employee’s sentiments towards the pandemic-induced work from home policy.

Resumo em Inglês:

ABSTRACT: One of the buzzwords in the technological world is “Hyperautomation”. Hyperautomation is the new technological phenomenon in which it can bring intelligent automation processes using Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML) and other technologies. It has a good amount of business applications; that is why many tech giants and start-ups are putting huge investments to reap the fruits of Hyperautomation. The data was collected from different secondary sources from 1-4-2020 to 31-7-2021. The rationale of this conceptual manuscript is to explain the definitions, concepts, technologies and models behind Hyperautomation. This study also emphasis in-depth benefits of hyper-automation specifically in Banking & Finance sector. Moreover, the study also presents some of the industry test cases to explain the Hyperautomation adoption level by different countries across the globe.

Resumo em Português:

RESUMO O desenvolvimento das tecnologias móveis tem contribuído para a transformação da maneira como os governos entregam seus serviços e, como consequência, o governo móvel ou mobile government impacta a forma como os cidadãos se relacionam com os serviços públicos. Dentro desta perspectiva, este artigo propõe, por meio de uma abordagem qualitativa multi-método, identificar e analisar aspectos de mobile government no desenvolvimento e implantação do aplicativo InvestSUS, no contexto do Ministério da Saúde brasileiro. Com isso, vislumbra-se contribuir com o campo de pesquisa sobre mobile government em países em desenvolvimento. Para tanto, foi realizada uma triangulação de técnicas qualitativas na coleta e análise de dados, que resultou na construção de um framework para análise da implementação de ferramentas de mobile government no setor público. Foram identificadas 19 variáveis relacionadas ao framework proposto, bem como 5 novas variáveis, tais como: transparência da informação pública, controle social, usabilidade, equipe multidisciplinar e facilidade de acesso. Os resultados deste estudo, portanto, refletem uma oportunidade para compreensão do fenômeno de mobile government no contexto do setor de saúde pública.

Resumo em Inglês:

ABSTRACT The development of mobile technologies has contributed to the transformation of the way governments deliver their services and, as a consequence, mobile government impacts the way citizens relate to public services. In this sense, we propose, through a qualitative multi-method approach, to identify and analyze aspects of mobile government in the development and implementation of the InvestSUS application, in the context of the Brazilian Ministry of Health. In doing so, it aims to contribute to the field of research on mobile government in developing countries. To this end, a triangulation of qualitative techniques was carried out in data collection and analysis, which resulted in the construction of a framework for analyzing the implementation of mobile government tools in the public sector. We identified 19 variables related to the proposed framework, as well as 5 new variables, such as: transparency of public information, social control, usability, multidisciplinary team, and ease of access. The results of this study, therefore, reflect an opportunity to understand the phenomenon of mobile government in the context of the public health sector.

Resumo em Inglês:

ABSTRACT The purpose of this paper is to provide a comprehensive bibliometric review of social science, psychology, and humanities literature focusing on big data. Methods: Production and authorship trends, topics and areas as well as citations were analyzed by means of conducting a bibliometric analysis of a corpus of 5,500 Scopus articles published from 2010 to 2020. Findings: Analysis revealed similarities and differences among social science, psychology, and humanities literature in terms of publication, framing, and referencing trends as compared with the general big data literature: both fields show a steady increase, although the increase rate slowed down as from 2015; text production of both specific and general fields is led by just a few countries, with the USA and China being on top of the ranking; single authorship has been decreasing in both fields; the specificity of big data framing, in social sciences and humanities, has been identified with a critical view that surpass the ethical considerations, to include the social construction of datasets, the political and ideological uses of big data, and the discussion of its philosophical and epistemological foundations. Value: To the best of our knowledge, this is the first study to provide a comprehensive view on social sciences and humanities big data bibliometrics while providing context to compare results.

Resumo em Inglês:

ABSTRACT This paper aims to investigate driving and inhibiting factors for Digital Transformation (DT) and their effects on the advent over the COVID-19 pandemic from the perspective of business consultants. The research has been presented as descriptive in nature as well as on its general objective and on its approaching form, which come classified along as qualitative aspects. From the field of an investigation, four key dimensions emerged as the most relevant technology for DT: the value creation, the organizational structure and the culture adopted on businesses. Furthermore, it is worth highlighting the role of leadership as a key element in driving the team during a journey which requires a cultural transformation linked to DT.

Resumo em Inglês:

ABSTRACT This work presents the results of a case study to identify the main risk factors in the software deployment phase involving two government Brazilian companies. The case study was developed through several on-site visits to monitor the deployment of the system adopted by companies and conduct interviews with team managers. The data were acquired mainly through questionnaires applied to the technical team (analysts and developers) involved with the software implementation. After acquiring the data, an empirical analysis was carried out, where the Risk Factors (RF) and the Containment Strategies (CS) identified in the literature were compared with the RF and CS found in the software deployment phase of the two companies. As a result, this work presents 11 risk factors and 14 Containment strategies found in the literature, in addition to a total of 9 RF and 9 CS recorded in the implementation of the software in companies A and B, which had not yet been cataloged in the literature.

Resumo em Inglês:

Abstract This paper summarizes an explorative study of the design as well as the perceived risk that contributes to users’ adoption of an innovative Covid-19 solution technology known as the “TheSafeCheck” in the ASEAN region. The attempt to survey these areas using the stimulus research model is a novel approach focused on adoption factors of this innovative technology as “TheSafecheck” focuses on the novel design and perceived risk. The empirical results from the quantitative analysis suggest that design, perceived risk, perceived usefulness as well as perceived ease of use are significant factors that contribute to users’ intention to utilize this novel Covid-19 technology “TheSafecheck” Solution. Companies will be able to utilize this study information for deploying the products and services to meet the users’ intention to use the system while also fulfilling their objective of corporate social responsibility.

Resumo em Inglês:

Abstract Master data management programs are large by nature since the aim is to provide the entire enterprise with a shared trusted view of the organisation’s most critical data assets. In this paper, we present what dimensions and activities a master data management program in a large organisation should consider and how to monitor such a program once it is up and running. Our findings result from an autoethnography study where personal experiences are connected to previous research. A heatmap approach is used to visualize the inherent complexity of a master data management program. Our approach is derived from participating in four different master data management programs in four different global organisations during 2007-2020.

Resumo em Inglês:

ABSTRACT The Big Data phenomenon has imposed maturity on companies regarding the exploration of their data, as a prerogative to obtain valuable insights into their clients and the power of analysis to guide decision-making processes. Therefore, a general approach that describes how to extract knowledge for the execution of the business strategy needs to be established. The purpose of this research paper is to introduce and evaluate the implementation of a process for the experimental development of Data Mining (DM), AI and Data Science applications aligned with the strategic planning. A case study with the proposed process was conducted in a federal educational institution. The results generated evidence showing that it is possible to integrate a strategic alignment approach, an experimental method, and a methodology for the development of DM applications. Data Mining (DM) and Data Science (DS) applications also present the risks of other Information Systems, and the adoption of strategy-driven and scientific method processes are critical success factors. Moreover, it was possible to conclude that the application of the scientific method was facilitated, besides being an important tool to ensure the quality, reproducibility and transparency of intelligent applications. In conclusion, the process needs to be mapped to foment and guide the strategic alignment.

Resumo em Inglês:

ABSTRACT In this study, we examined the effect of digital technologies during COVID-19 pandemic. 104 supply chain managers responded to our survey. Based on their responses we were able to conclude that those firms who invested more in their digital technologies performed better in reducing the severity of COVID-19 pandemic related challenges, felt better prepared in general for the pandemic compared to the competitors, and considers their digital technology investments helped them during COVID-19 on their success which led them to invest further in Technology. We believe our findings will help businesses to consider investing in their digital technologies for better management of uncertainties in their supply chains.

Resumo em Inglês:

ABSTRACT In the development of projects that aim at management and editorial evaluation methods, mechanisms that foster the product’s quality final have great importance. In this scenario, several areas are working together in search of better adequacy and standardization in software development. A basic example is the adequations of evaluation of software engineering and computer networks, which work, so that distributed applications are developed following evaluation criteria and standardized quality standards. In this context, we present the DASP software, an open-source distributed autonomous scientific publisher executed through an allowed blockchain network, automatically organized through intelligent contracts, an alternative to the decentralized management of editorial models. As a form of evaluation, one of the most current standards used by the international organization for standardization (ISO) to perform software quality measurements, ISO/IEC 25023, is adopted. Furthermore, we focused on the security aspect, which is one of the categories of ISO/IEC. This aspect was chosen because it was based on the main features that underpin blockchain technology. The quality measurement was carried out following several steps, such as the definition of ISO/IEC 25023, an adaptation of metrics for DASP software evaluation, calculations of the quality value of each functionality, and determination of recommendations for improvements in the software according to the estimates made.

Resumo em Português:

RESUMO A carência de um referencial teórico-conceitual homogêneo sobre os observatórios tem dificultado a compreensão e o entendimento deste fenômeno. Diante deste cenário, esta pesquisa tem o objetivo de investigar e compreender o estado da arte dos observatórios buscando identificar suas áreas de aplicações, definições, características, objetivos, benefícios, desafios enfrentados, componentes e, finalmente, produtos e serviços ofertados por esses observatórios. Para alcançar esse objetivo, foi executado um mapeamento sistemático da literatura baseado em snowballing. O conjunto inicial foi formado por 65 artigos, após a execução do backward e forward snowballing foram incluídos, respectivamente, 22 e 32 novos artigos, totalizando 119 artigos analisados. O corpo de conhecimento sobre observatórios apresentado como resultado deste estudo pode ser utilizado como guia para ajudar na compreensão desta temática, além disso, novas pesquisas poderão ser desenvolvidas a partir das lacunas na literatura identificadas nesta pesquisa.

Resumo em Inglês:

ABSTRACT The lack of a homogeneous theoretical-conceptual framework on observatories has made it difficult to understand and understand this phenomenon. Given this scenario, this research aims to investigate and understand the state of the art of observatories, seeking to identify their application areas, definitions, characteristics, objectives, benefits, challenges faced, components and, finally, products and services offered by these observatories. To achieve this goal, a systematic literature mapping based on snowballing was performed. The initial set consisted of 65 articles, after performing backward and forward snowballing, 22 and 32 new articles were included, respectively, totaling 119 articles analyzed. The body of knowledge on observatories presented as a result of this study can be used as a guide to help in understanding this theme, in addition, new research can be developed based on the gaps in the literature identified in this research.

Resumo em Inglês:

ABSTRACT One of the biggest challenges facing technology innovation companies is how to jump from a small group of enthusiasts and achieve mass sales. For this, many theories are extended trying to explain the different behavioral profiles. Therefore, the objective of this article is to analyze the studies on consumer behavior of technological innovations, synthesize the main concepts on this theme, and outline an overview of how this field is configured. To this end, a systematic review, first in the research front and then in intellectual base was performed. The results indicate a dynamic of articles with more than one model or hybrids that seems to be a trend towards complementing the already consolidated factor theoretical models. This fact implies that these theories are failing to accurately explain the factors that influence a technology to push visionary customers to mass demand.

Resumo em Inglês:

ABSTRACT The issue of trust development among members of virtual teams is gaining increasing attention from Information Systems (IS) scholars due to the advancement of virtual collaboration in organizations. The objective of this study is to evaluate the issue of trust development in virtual team research from the perspective of main IS journals, and to consolidate the contributions made by IS researchers. To this aim, a systematic review of the literature has been conducted, supported by bibliometric and Social Network Analysis (SNA). An IS-centric review of trust concepts and research paradigms has been presented along with opportunities for future research.

Resumo em Inglês:

ABSTRACT Over the past decades, organisations worldwide driven by the growth in e-commerce transactions have been investing in new payment methods in order to gradually align with the current trend of cashless transactions among individuals, businesses and governments. As a result, payments conducted over the internet or cloud-based payment systems (CBPS) have significantly increased. In this sense, the aim of this study is to provide a comprehensive review of studies that used the technology acceptance model (TAM) to analyse the CBPS. The findings of this study found 134 studies conducted between 2013 and 2020, which have applied the TAM. 118 new variables were tested alongside with the 5 basic constructs of TAM. Surveys are the preferred research method of data collection. Users have been the main focus of academics. China was the country with more studies conducted in CBPS using TAM as a research-based model, followed by India, Indonesia, Spain and Malaysia. Trust was the most used construct by academics to investigate the CBPS adoption, followed by perceived risk and perceived compatibility. SEM was the preferred research instrument for analysing the relationship among constructs followed by regression analysis and multi-group analysis.

Resumo em Português:

RESUMO O presente artigo faz uma revisão focada sobre frameworks de Gamificação que podem ser enquadradas numa visão sistémica, no âmbito dos sistemas de informação. Gamificação é o uso de elementos derivados dos jogos em contextos que não são jogos. Nesse sentido, foi proposta uma terminologia que possa ser usada em várias implementações e cenários. É discutida a forma como a terminologia proposta está alinhada com os frameworks dos artigos revistos e a pertinência de usar uma visão sistémica única para futuras intervenções de Gamificação.

Resumo em Inglês:

ABSTRACT This article is a review focused on Gamification frameworks that can be framed in a systemic approach, within the scope of information systems. Gamification is the use of game-derived elements in non-game contexts. In this sense, a terminology that can be used in various implementations and scenarios is proposed. It discusses how the proposed terminology is aligned with the frameworks of the reviewed articles and the relevance of using a unique systemic approach for future Gamification interventions.

Resumo em Inglês:

ABSTRACT Surveys related to analytics in the area of human resources (HR) have increased in the last 10 years. They usually suggest frameworks, tools, and concepts. Although there is much useful information, there is still a lack of materials consolidating real case studies or quantitative experiments with HR data. This systematic review analyzes 42 papers with analytical experiments in terms of three different segments of HR: recruitment, talent management, and turnover. The goal is to offer an updated perspective of what is being applied in HR regarding the problems that can be solved with data analysis, the most used techniques, and what could be explored to promote more scientific research on data-oriented projects in HR. Some of the results include talent management as the segment with the most related papers and the use of companies’ internal data as predominant in the studies.