Brazilian Journal of Management and Innovation (Revista Brasileira de Gestão e Inovação): Announcements

RBGI New OJS (2024) and information to Authors

2024-06-28T19:23:44-03:00

Dear Authors and readers, we hope you are well,

Over the past 10 months, RBGI has been involved in a critical migration of its platform and editorial workflow. The aim was to integrate RBGI in an new OJS unified system and with the staff of the University Publisher (EDUCS), which will manage all UCS Journals System and part of the editorial workflow.

With this transition, all articles from RBGI foundation - an history of 10 years - on OJS 2 were migrated and indexed in the new unified OJS 3, stabilizing the platform and technology for the next few years.

Due to the complexity of this change, however, necessary for quality improvement and journal indexing in several databases, our editorial workflow and communication system was affected. Aware of the platform migration limitations and challenges, we had to slow down desk-review to minimize impacts, in the context that the project do suffered some delays - expected in complex migration like these with 10 journals.

Now that we have received confirmation to initiate the activities we are informing authors of the following organization:

1) The new RBGI website is: https://sou.ucs.br/etc/revistas/index.php/RBGI, will all the articles from RBGI foundation.

2) However, until the end of 2024, all the ongoing submission workflow (desk and peer review) will continue to run in https://sou.ucs.br/revistas/index.php/RBGI/index, the previous OJS. This is because it won´´´t be possible to migrate ongoing evaluations from the old to new system, and to respect the submission queue.

3) To stabilize the workflow, all new submissions will be interrupted in 2024 on both platforms.

4) Manuscripts that are already in peer review will keep up the workflow, and will be published in the new platform, if approved.

5) Manuscripts that are in the queue to enter in desk-review, from 01/07 to 05/07, will be processed in batch.

6) Authors who would like to understand their article status or remove their article from the RBGI workflow can please reach Associate Editor Catiane Borsato at cborsatto@ucs.br, from 08/07 to 19/07. After this date, peer-review will be started.

7) Authors with already approved articles from Jan 2024 will face a new PDF graphical design by Associate Editor Bruna Libardi that meets up-to-date standards. More information available in RBGI announcements.

8) We would like to announce that RBGI has been qualified for Redalyc indexing in january 2024, and technical development will be now started, now that the migration were completed.

We apologize for any inconvenience in this transition phase, and thank you for your comprehension.

RBGI Editorial Team

Call for Papers - Smart and Sustainable Cities: Technological Cases for Teaching

2024-04-14T22:45:21-03:00

Call for Papers - Smart and Sustainable Cities: Technological Cases for Teaching

Image created by DALL·E 2 - OpenAI

Invited Editors

Profa. Janaina Macke, PhD.

Profa. Ana Christina Fachinelli Bertolini, PhD.

The rapid urbanization of our world is an undeniable reality. More than half of the global population now resides in urban areas, projected to grow substantially in the coming decades. This urban influx comes with complex challenges –environmental concerns, resource constraints, social inequalities, and transportation gridlock. In response to these challenges, cities are reimagining themselves as smart and sustainable ecosystems, leveraging technology and innovative solutions to transform urban living.

Smart cities represent the nexus of advanced technology and urban planning, striving to enhance quality of life while upholding environmental stewardship. Central to their success is not only the deployment of data-driven approaches and Internet of Things (IoT) technologies but also the active engagement of citizens. These cities harness technology to optimize resources, improve infrastructure, and provide superior public services, yet their true potential is realized through citizen participation and social initiatives. Engaging residents in the decision-making process, leveraging their insights for urban development, and ensuring technology benefits all segments of society are crucial aspects of smart cities. This inclusion leads to more equitable, community-focused solutions, addressing issues like socio-economic disparities and enhancing overall urban resilience. Elements such as sustainable energy, efficient waste management, smart transportation, and public safety are interwoven with citizen engagement to address the multifaceted challenges of urbanization. As such, smart cities are evolving entities, continuously adapting to new technologies, societal shifts, and the active contributions of their inhabitants.

We invite submissions of technological teaching cases that explore the challenges and opportunities in building smart and sustainable cities. The theme of "Smart and Sustainable Cities" has gained significant importance as urbanization accelerates and the need for innovative solutions to urban problems becomes critical. Teaching should explore, more than concepts and pedagogical approaches, technologies such as open data, simulation, AI, collaborative plataforms and other elements to provide the teaching about Smart and Sustainable Cities more active and engaging.

Scope:

We welcome teaching cases that focus on a wide range of topics related to smart and sustainable cities, including but not limited to:

Smart Urban Planning: Cases that explore innovative urban planning approaches and technologies to create sustainable and livable cities.
Green Infrastructure: Cases that highlight the integration of green and sustainable infrastructure in urban environments.
Transportation and Mobility: Cases that address the challenges and solutions related to urban transportation, public transit, and sustainable mobility.
Energy Efficiency: Cases that discuss energy-efficient urban systems and renewable energy integration.
Waste Management: Cases that examine sustainable waste management practices and waste-to-energy solutions.
Digital Transformation: Cases on the role of digital technologies, data analytics, and the Internet of Things (IoT) in shaping smart cities.
Community Engagement: Cases that demonstrate effective strategies for involving the community in urban sustainability projects.

Submission Guidelines:

Submissions should be in the form of teaching cases, with a focus on real-world situations and learning objectives.

Cases should be accompanied by teaching notes and recommended technologies that provide guidance on how to use the case in a classroom setting.

Important Dates:

Submission Deadline: 06/07/2024

Notification of Acceptance: 06/08/2024

Working Publication Date: 03/12/2024

Publication Opportunities:

Accepted cases will be published in Brazilian Journal of Innovation and Management. Additionally, selected cases may be featured in teaching materials and workshops.

Submission Process:

Please submit your teaching case along with teaching notes through our online submission system at Submissions | Brazilian Journal of Management and Innovation (Revista Brasileira de Gestão e Inovação) (ucs.br)

Join us in advancing education and research on smart and sustainable cities. Share your insights and experiences through compelling teaching cases.

We look forward to receiving your submissions.

Call for Papers - Promoting Planet-Centered Systemic Change through Emergent Design

2023-04-23T18:58:26-03:00

A CALL TO PLANET-CENTERED SYSTEMIC CHANGE APPROACHES

On this week we celebrate Earth Day (22/04) and Earth Hour (26/04), where public awareness is raised to reflect and act on how the Earth can be protected, we launch this Call: Promoting Planet-Centered Systemic Change through Emergent Design. Our intention with this Call is to create a community of researchers and practitioners around this theme, promoting new knowledge, new ideas, new tools and environments, and new relationships to help sustain new collaborative projects that can generate meaningful impact and positive change.

WHY EMERGENT DESIGN?

Emergent design emphasizes that in complex, open, concurrent, dynamic, and concurrent environments, effective design is a progressive process that is nourished by elements of local contingencies and the variety of input from connectivity, social collectivity, and human understanding and learning. The unpredictability inherent to complex, open, dynamic, and concurrent systems must be taken into account in design, implementation, and management. Emergent design focuses on situations, contexts, systems, and phenomena that are inherently unpredictable, idiosyncratic, with many unknowns and uncertainties. Emergent design attempts to design, implement, and continuously adjust new systems that facilitate deeper human learning and understanding, particularly where outcomes depend upon better human understanding, in order to provide informed feedback and enable ongoing adjustment without constantly re-architecting the foundation.

Emergent design was originally applied to the design of a new enterprise informatics architecture, applications and generative tools to facilitate better understanding and practice of healthcare, including all stakeholders and enabling their collective agency, where new technologies and innovations could be incorporated without necessitating a totally new architecture. Emergent Design further enabled recursive evolution as human understanding improved and computational fluency developed so that the practitioners could develop further applications, develop new knowledge and technologies, and incorporate those advances to further ongoing improvement in thinking and practice.

Emergent design was refined by its application towards facilitating more effective learning. Emergent Design contributed to better thinking and practice for changing learning environments, which also are unpredictable, highly complex, dynamic, open, and concurrent, and dependent upon human understanding to enable better practice. Subsequently, it helped guide, for some, agile development of software, agile management, adaptive learning environments and activities, organizational learning, data science and analysis, and more.

Systems in nature provide powerful models for Emergent Design. Understanding how natural systems successfully function symbiotically, and adapt to dynamic changes provides new models for complex systems design and management. Examples include bio-fabricated computational constructs which are not static and rely on dynamic cues from their environment to inform their form and function so that they can adapt to their surroundings as needed, particularly when they can dynamically re-write their code. Such systems enable emergent behavior that is not just based upon simple organisms following their original rules.

Emergent Design focuses on where the components of the system not only adapt according to their inital rules, but are open to create new rules and thinking that recursively enables new behavior and new patterns. We invite papers that will help explicate and expand the theory of Emergent Design, provide use cases in a cross-variety of domains in order to broaden and forefront areas of application and understanding, descriptions of exploratory work in process, and whatever else emerges that contributors think relevant and important.

TOPICS OF INTEREST ON EMERGENT DESIGN

Possibles lines of contributions related to Emergent Design are suggested, in their domains or intersections:

- Epistemological perspectives for addressing complex, dynamic and open systems
- Design for complex, dynamic and open systems
- Management in complex, dynamic and open systems
- Learning in complex, dynamic and open systems
- Computational Technologies for complex, dynamic and open systems
- Natural Systems for better design, management and understanding of complex, dynamic and open systems
- Performance Perspectives when addressing complex, dynamic and open systems
- Communication in complex, dynamic and open systems
- Human cognition and collective behavior in complex, dynamic and open systems
- Emergent themes proposed by authors

PRACTICAL INFORMATION FOR SUBMISSION

1) Important Dates:

- Call for Papers Launch: 22 April (Day of the Earth) and 26 April (Earth Hour);

- Proposing submission:
- Authors can send an expanded abstract with two pages (31 July 2023) to rbgi@ucs.br - Call for Papers - Promoting Planet-Centered Systemic Change through Emergent Design to receive feedback from Invited Editors.
Otherwise, full article can be submitted until (23 December 2023) trough the link, informing in the text the interest in the Call.

- Peer-review process – January to March 2024.
- Expected Publication of the Special Call – April 2024

2) Type of manuscripts:

- Accepted languages (English, Spanish, Portuguese, French).
- Abstract in English + native language.
- Size of the article (about 8.000 characters).
- Formatting considering RBGI usual standards

- Type of research accepted; given the array of possible studies, different possibilities of scientific publication are invited:

Theoretical Essays and Position Papers.
Research articles.
Methods article.
Case Studies and Experiences.
Systematic reviews with strong research agenda proposition.

Up to 10 articles will be selected and published in the special edition Promoting Planet-Centered Systemic Change through Emergent Design. Authors that participate of the Call will be invited to engage into the Emergent Design Network, collaborating in new knowledge production and applied projects towards this theme.

INVITED EDITORS

David Cavallo
David Cavallo is an North American researcher in the field of computiation and human learning. He was a Research Professor at the MIT Media Lab and co-director of the Future of Learning Group with Seymour Papert. He was Chief Learning Officer, Vice-President for Education, and Director for Latin America in the global project One Laptop Per Child, with Nicolas Negroponte. Prof. Cavallo created the concept of Emergent Design in 2000, developing understanding about how to implement systemic change in learning and organizational environments facilitated by the development of computational technologies.

Andres Bricenõ-Guiérrez

Andres Bricenõ-Guiérrez is a chilean architect MAA IAAC-UPC, Co-Founder and R+D Director of Centro de Innovación y Diseño Avanzado CINNDA (www.cinnda.org) and Professor at the Architecture, Arts & Design Faculty, Universidad Diego Portales, Chile where is the head director of Factoria UDP, an interdisciplinar converge center (www.factoria.udp.cl) Prof. Andres is being applying Emergent Design approaches deleloping technologies to face global warming & reconfiguring communities in Latin America through IoT, Circular Economy and Avanced Manufacture.

Andre Boder

Andre Boder got his PhD in cognitive psychology at the University of Geneva, Switzerland. He worked several years with Jean Piaget at the international center for genetic epistemology. He worked as director for epistemology and learning group at the centre mondial informatique in Paris. He was then visiting researcher at the Media Lab at MIT in Boston, at Carnegie Mellon, at the University of Pittsburgh and at the Institute for Cognitive Science at the University of California San Diego with Don Norman. While working as counselor in knowledge management for major sport organizations in Europe (UEFA, IOC), he developed several learning platforms. He currently leads his own company (SmartStory) in Switzerland.

SUPPORTING EDITOR

Mateus Panizzon

Mateus Panizzon is serving as the Editor-in-Chief of the Brazilian Journal of Management and Innovation. A Brazilian scientist, researcher, educator and strategic adviser in the field of management and innovation, with emphasis in Futures Studies and Knowledge-Based Dynamic Capabilities. Prof. Mateus is currently working with Anticipatory Governance for S&T Policy Design, and is concerned how Emergent Design can enable policymakers, experts and citizens to collectively analyse and solve complex and systemic problems, in the context of living labs, with support of Human-Centred AI Technologies to augment learning capabilities. He holds an PhD in Innovation Management by Pontifical University of Rio Grande do Sul (PUC-RS), with visiting research period at École de Technologie Superieure (ÉTS) – University of Quebec, Canada. Currently is also a visiting researcher at Federal University of Rio Grande do Sul (UFRGS), for postdoc studies in the field of Strategic and Anticipative Intelligence, focusing on Anticipatory Governance for Public Management. Associate Professor in the Graduate Program of Business Administration of the UCS Business School, his publications appear in top-tier journals in the field of management, innovation and futures studies.

ABOUT THE JOURNAL

RBGI - Revista Brasileira de Gestão e Inovação (Brazilian Journal of Management & Innovation) - an Open Access Journal commited with advancement of Open Science.

ISSN: 2319-0639

It is proposed as the RBGI's mission: to promote and encourage influential scientific production in the science of management, through the publication of forefront and qualified scientific research with ethical standards for researchers, managers, and policy makers, in line with the evolution of the field of study and the theoretical-practical relationship of administration. RBGI focus on scientific manuscripts on themes in the interface of Management & Innovation, and Sustainability.

RBGI participates in the United Nations 3rd Open Science Conference

2023-02-08T13:21:29-03:00

RBGI participates in the United Nations 3rd Open Science Conference (2023): accelerating the Sustainable Development goals, Democratizing the Record of Science

Source: United Nations

Main remarks (Day 1)

- 2023 is the year of Open Science, New Frontiers, FAIR Data Stations (Findable, Accessible, Inter-Operable, Reusable), CARE (Collective Benefit, Authority to Control, Responsability and Ethics), and Citzens Cientists.

- Open Science Conference 2023 | United Nations

- Commitment of NASA to Open-Source Science Initiative - Home | NASA TOPS

- The NASA Open Science Initiative - Open-Source Science Initiative | Science Mission Directorate (nasa.gov)

- NASA aims to achieve five major scientific discoveries trough Open Science principles.

- New Open Science Clouds are emerging (Science, Access, Data).

- Presentations can be accesed here 1st Day: 3rd Open Science Conference: Accelerating the Sustainable Development Goals, Democratizing the Record of Science | UN Web TV

Main remarks (Day 2)

- Open Science as a way to achieve global public good.

- OA Is not only about access, but creatring engagement, intepretability and participatory methods.

- Open Access with APC (Authors Processing Charges) is creating a new barrier for great part of researchers.

- Emergence of Knowing Nature-Literacy: need to create more understanding of forms of knowledge by the public, governament, NGO´s and corporations - Popularization of Scientific Knowledge.

- Open Science Hardware is already happening.

- Presentations can be accesed here 2nd Day: 3rd Open Science Conference: Accelerating the Sustainable Development Goals, Democratizing the Record of Science | UN Web TV

Main remarks (Day 3)

- Open Access is important for achieving SDG´s, appling open knowledge to solve problems.

- Resarch articles must be avaliable to the citzens that funded the research trought their taxes.

- Its a new phase of Scientific Publishing reforming.

- Other research outputs beyond PDFs are needed, including dynamic and include data, software, notebooks, portals with data-processing options.

- Presentations can be accesed here 3rd Day: 3rd Open Science Conference: Accelerating the Sustainable Development Goals, Democratizing the Record of Science | UN Web TV

Regards,

Mateus Panizzon & RBGI Editorial Team

Trends and perspectives about ChatGPT and LLM in Scientific Publication

2023-02-05T22:26:59-03:00

Our goal with this text is to state the technological evolution, main capabilities, and implications of ChatGPT in the scientific publication. It has been clear for several years that artificial intelligence (AI) is gaining the ability to generate fluent language, churning out sentences that are increasingly hard to distinguish from text written by people. Some representatives journals like Nature reported that some scientists were already using chatbots as research assistants — to help organize their thinking, generate feedback on their work, assist with writing code and summarize research literature. ChatGPT generates convincing sentences by mimicking the statistical patterns of language in a huge database of text collated from the Internet. The bot is already disrupting sectors including academia: in particular, it is raising questions about the future of university essays and research production.

ChatGPT is a large language model (LLM), a machine-learning system that autonomously learns from data and can produce sophisticated and seemingly intelligent writing after training on a massive data set of text. It is the latest in a series of such models released by OpenAI, an AI company in San Francisco, California, and by other firms. ChatGPT has caused excitement and controversy because it is one of the first models that can convincingly converse with its users in English and other languages on a wide range of topics. It is free, easy to use, and continues to learn. ChatGPT, however, isn´t the largest model, considering the number of parameters. Other LLMs such as PalM-Coder from Google, MT-NLF from NVIDIA, also should be observed in this scenario.and landscape.

Large language models (LLMs) are technically, a language model that is a statistical representation of a language, which tell us the likelihood that a given sequence (a word, phrase, or sentence) occurs in this language. Due to this capacity, language models can be used to make predictions about how a sentence might continue and, consequently, generate text. Sophisticated language models, often based on neural networks and large text corpora, are very powerful because they can be used in a wide range of different applications such as translation or text recognition.

In the future, LLMs are likely to be incorporated into text processing and editing tools, search engines, and programming tools. Therefore they might contribute to scientific work without authors necessarily being aware of the nature or magnitude of the contributions. This defies today’s binary definitions of authorship, plagiarism, and sources, in which someone is either an author, or not, and a source has either been used or not. Policies will have to adapt, but full transparency will always be key.

This technology has far-reaching consequences for science and society. Researchers and others have already used ChatGPT and other large language models to write essays and talks, summarize the literature, draft and improve papers, as well as identify research gaps and write computer code, including statistical analyses. Soon this technology will evolve to the point that it can design experiments, write and complete manuscripts, conduct peer reviews, and even support editorial decisions and quality control to accept or reject manuscripts.

Conversational AI is likely to revolutionize research practices and publishing, creating both opportunities and concerns. It might accelerate the innovation process, shorten time-to-publication and, by helping people to write fluently, make science more equitable and increase the diversity of scientific perspectives. However, it could also degrade the quality and transparency of research and fundamentally alter our autonomy as human researchers. Has all technologies, as its own Yin and Yang. ChatGPT and other LLMs produce text that is convincing, but often wrong, so their use can distort scientific facts and spread misinformation.

However, with time and learning, and incorporation of AI Ethics principles and tools, the capabilities of such AI tools will greatly increase and that´s why this type of technology should be very well observed, specially due to the new capabilities that can achieve when integrated with other systems. In less than 3 weeks, Microsoft already incorporated GPT-3.5, Codex and DALL-E into Azure Open AI Services, which means integration of these technologies into business processes. GPT-4 are promising even more capabilities.

As Springer Nature Journal and other relevant journals, we think that the use of this technology is inevitable, therefore, banning it will not work. We must observe and analyse the impacts of technology, understanding that, from times to times, reconfiguration will be enabled by technological adoption and provide not automation, but augmentation of human cognitive abilities. It is imperative that the research community engage in a debate about the implications of this potentially disruptive technology, in several dimensions, from ethics and responsability to even equality of access to these technologies and tools.

Given this context, RBGI adopts in 2023 a position promoted by Nature conserning ChatGPT, given fundamental principles:

Rules and Principles for Manuscript Submission in RBGI

No LLM tool will be accepted as a credited author on a research paper. That is because any attribution of authorship carries with it accountability for the work, and AI tools cannot take such responsibility.
Researchers using LLM tools should document this use in the methods or acknowledgments sections. If a paper does not include these sections, the introduction or another appropriate section should be used to document the use of the LLM: Just state you used it and where. Like any other software.

Forwarding

There are already clear authorship guidelines that mean ChatGPT shouldn’t be credited as a co-author, says Matt Hodgkinson, a research-integrity manager at the UK Research Integrity Office in London, speaking in a personal capacity. One guideline is that a co-author needs to make a “significant scholarly contribution” to the article — which might be possible with tools such as ChatGPT, he says. But it must also have the capacity to agree to be a co-author and to take responsibility for a study — or, at least, the part it contributed to. “It’s really that second part on which the idea of giving an AI tool co-authorship really hits a roadblock,” he says.

New things are coming in the Scientific Publication field, specially driven by Open Science principles and practices, like open peer review, plaudit (other researchers can endorse your research after peer review), and so on. We are moving to a more crowd powered and transparent approach, specially with Blockchain. Therefore, combining crowd with AI to augment capabilities, research can be done in a more eficient, faster and smarter way in order to provide better solutions for society, increasing response and resilient capabilities.

RBGI aims to stand as an innovative journal, observing these movements and capturing them to redefine some paradigms, with better processes and tools for authors, reviewers, and even readers.

Thank you very much,

Ederson de Almeida Pedro - Founder Gautica | Ph.D. Candidate | Human-centered AI for OHS | RAIES Member

Mateus Panizzon - Editor-in-Chief of Brazilian Journal of Management & Innovation | RAIES Member

RAIES - Rede de Inteligência Artificial Ética e Segura

10 years of RBGI

2022-12-29T18:19:05-03:00