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Publications (312)
The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology. Claims include AI being poised to revolutionize business and society and dramatically change personal life. However...
Many instructional methods that focus on analytical, skill, and competency development have a single or small set of appropriate answers. Best-answer assignments are popular for large-enrollment classes because of the relative ease with which scoring and feedback can be managed at scale. However, cheating is regularly confirmed at disturbingly high...
The emergence of Large Language Models (LLM), such as ChatGPT, is considered a productivity revolution in many areas of business and society. For a classroom setting, especially, it would be useful to understand whether, and how, to incorporate ChatGPT, similar to any other productivity revolution technology, such as calculators or a Google search...
Reliability, which is concerned with whether something performs as it should, is well‐accepted as an important part of any scientific research, with recognised methods for assessing it in the natural sciences. Reliability is a prerequisite for validity, which assesses knowledge production. Design science research is unique in that it produces an ar...
The field of conceptual modeling has been in existence for over five decades. To understand how the field has evolved and should continue to evolve, it is useful to examine the contributions made over time and the topics that have emerged. In this research, we apply bibliometric analysis to a corpus of 4652 research papers spanning from 1976 to 202...
One novel direction for conceptual modeling would be to consider an ontology of fields. While this ontology has been recognized in modern philosophy, it has not found its footing in conceptual modeling yet. In consideration of this potential opportunity, we describe aspects of the ontology of fields in order to consider it as a new foundational bas...
The paper proposes universal conceptual modeling, conceptual modeling that strives to be as general-purpose as possible and accessible to anyone, professionals and non-experts alike. The idea of universal conceptual modeling is meant to catalyze new thinking in conceptual modeling and be used to evaluate and develop conceptual modeling solutions, s...
The emergence of Industry 4.0, characterized by rapid technological change and fierce competition, challenges technology firms to make strategic innovation decisions. Central to this is the metaverse, a hybrid virtual space combining virtual reality, augmented reality, and the internet. Recognizing that the implications of metaverse applications ex...
The digitalization of human society continues at a relentless rate. However, to develop modern information technologies, the increasing complexity of the real-world must be modeled, suggesting the general need to reconsider how to carry out conceptual modeling. This research proposes that the often-overlooked notion of ‘‘system’’ should be a separa...
[[ COMPLETE THIRD ISSUE OF METASCIENCE ]]
This third issue of the journal Mεtascience continues the charac-
terization of this new branch of knowledge that is metascience.
If it is new, it is not in a radical sense since Mario Bunge practiced
it in an exemplary way, since logical positivists were accused of prac-
ticing only a mere metascience, s...
Agile Development has been an integral part of project management and product development since its formal introduction by the Agile Manifesto in 2001. Subsequently, Agile has rapidly gained in popularity, leading to significant improvements in on-time delivery and managing costs, as well as successful delivery of the required scope for information...
Purpose
The global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to iden...
Design science research has traditionally been applied to complex real-world problems to produce an artifact to address such problems. Although design science research efforts have been applied traditionally to business or related problems, there is a large set of problems in the area of digital science that also require important, digital artifact...
Project execution (i.e., the production, delivery, and deployment of an information system project’s outputs) is a difficult concept to teach effectively because of the many real-time decision making variables facing a project manager. This paper introduces Project Wars, a web-based serious game designed to teach the project execution concepts of d...
In contemporary society, the increased reliance on social media as a vital news source has facilitated the spread of disinformation that has potential polarising effects. Disinformation, false information deliberately crafted to deceive recipients, has escalated to the extent that it is now acknowledged as a significant cybersecurity concern. To pr...
We propose a vision for inclusive conceptual modeling. The urgency to address inclusiveness comes from two converging trends: the deepening reliance on information technology; and broader engagement of the members of the public in IT development and use, including conceptual modeling. In this paper, we propose inclusive conceptual modeling as a cri...
This paper presents the architecture of a universal conceptual data modeling language, Datish, with the aim of enabling anyone to model anything. Although there are many conceptual modeling languages, there was no language that could model a wide range of domains and at the same time be used by diverse audiences, including the general public. In th...
Humans use two cognitive strategies: data-driven and theory-driven, resembling Kahneman's Systems 1 and 2. While both are crucial, the highest forms of knowledge involve theory-based symbolic representations. Software engineering's recent data-centric trend cannot systematically produce ethical software, which requires connecting data with semantic...
Modern technologies, especially social networks, contribute to the rapid evolution and spread of fake news. Although the creation of fake news is a serious issue, it is the believability of fake news and subsequent actions that produce negative outcomes that can be harmful to individuals and society. Prior research has focused primarily on the role...
Modern technologies, especially social networks, contribute to the rapid evolution and spread of fake news. Although the creation of fake news is a serious issue, it is the believability of fake news and subsequent actions that produce negative outcomes that can be harmful to individuals and society. Prior research has focused primarily on the role...
Although the terms “data”, “knowledge”, and “information”
are frequently used when referring to information
systems, there is neither a clear distinction amongst them, nor
a clear way to apply them in the development of database and
knowledge-based systems. The objective of this paper is to
analyze the current literature on data, knowledge and info...
The paper proposes a new frontier for conceptual modeling-universal conceptual modeling (UCM)-defined as conceptual modeling that is general-purpose and accessible to anyone. For the purposes of the discussion, we envision a non-existent, hypothetical universal conceptual modeling language, which we call Datish (as in English or Spanish for data)....
Background
All aspects of our society, including the life sciences, need a mechanism for people working within them to represent the concepts they employ to carry out their research. For the information systems being designed and developed to support researchers and scientists in conducting their work, conceptual models of the relevant domains are...
The paper proposes a new frontier for conceptual modeling – universal conceptual modeling (UCM) – defined as conceptual modeling that is general-purpose and accessible to anyone. For the purposes of the discussion, we envision a non-existent, hypothetical universal conceptual modeling language, which we call Datish (as in English or Spanish for dat...
Design science research, a well-established research approach to solving complex real-world problems, has evolved over time. This research characterizes design science research in information systems. By performing a bibliometric analysis, we show that design science research has progressed in the information systems field through three main phases...
This paper proposes a Conceptual Alignment (CA) Method for conceptual modeling and machine
learning. The model consists of a three-step cycle that selects an initial conceptual model, aligns it with
machine learning models, and refines both models to reach predictive consistency. Alignment is based on
composition methods that can be instantiated by...
Guidelines to improve the Findability, Accessibility, Inter-operability, and Reuse of datasets, known as FAIR principles, were introduced in 2016 to enable machines to perform automatic actions on a variety of digital objects, including datasets. Since then, the principles have been widely adopted by data creators and users worldwide with the 'FAIR...
These are supplementary materials for the paper, “Conceptual Modeling: Topics, Themes, and Technology Trends.” Conceptual modeling is an important part of information systems development and use that involves identifying and representing relevant aspects of reality. Although the past decades have experienced continuous digitalization of services an...
Conceptual modeling is an important part of information systems development and use that involves identifying and representing relevant aspects of reality. Although the past decades have experienced continuous digitalization of services and products that impact business and society, conceptual modeling efforts are still required to support new tech...
Design science research (DSR) should contribute to both the prescriptive and descriptive knowledge bases. Despite its maturity, a granular understanding of how DSR develops knowledge, while utilizing and contributing prescriptive and descriptive knowledge, remains incomplete. Creating such a gran-ular understanding requires a detailed typology of d...
Conceptual modeling is used to model application domains for which an information system is needed. One of the most complex domains to which conceptual modeling has been applied is that of the human genome. Due to its complexity, its understanding is often left to domain experts. Conceptual models represent genomics-related concepts, with various p...
Effective implementation of strategic data-driven health analysis initiatives is heavily dependent on the quality of the electronic medical records that serve as the foundation from which to improve clinical decisions and, in turn, the quality of care. Although there is a large body of research on the quality of healthcare data, a systematical unde...
We propose a universal conceptual data modeling language, Datish. A universal conceptual modeling language can address some of the challenges faced by modern data modeling. Conceptual data modeling seeks to represent the domain's substance and form, identifying the kinds of data to be collected, stored, or used, and have been effective in supportin...
Background
Genomics and virology are unquestionably important, but complex, domains being investigated by a large number of scientists. The need to facilitate and support work within these domains requires sharing of databases, although it is often difficult to do so because of the different ways in which data is represented across the databases. T...
With the rise of artificial intelligence (AI), the issue of trust in AI emerges as a paramount societal concern. Despite increased attention of researchers, the topic remains fragmented without a common conceptual and theoretical foundation. To facilitate systematic research on this topic, we develop a Foundational Trust Framework to provide a conc...
Design science research addresses important, complex real-world problems. Although well-accepted as part of research in information systems, initiating or progressing a design science research project still requires effort to describe how knowledge creation emerges and its underlying dynamics. Given the existing body of knowledge on design science...
Design science research addresses important, complex real-world problems. Although well-accepted as part of research in information systems, initiating or progressing a design science research project still requires effort to describe how knowledge creation emerges and its underlying dynamics. Given the existing body of knowledge on design science...
Conceptual modeling is often applied to real-world tasks to capture and integrate individual requirements from domain and technical experts for the development of an information system. Increasingly, information systems integrate machine learning models for providing predictive functionalities. Since complex machine learning models are considered a...
Emotion ontologies have been developed to capture affect, a concept that encompasses discrete emotions and feelings, especially for research on sentiment analysis, which analyzes a customer's attitude towards a company or a product. However, there have been limited efforts to adapt and employ these ontologies. This research surveys and synthesizes...
Although conceptual modeling has been integral to information systems development and use, much of its potential remains underutilized. This is evidenced by the lack of a broad adoption of modeling concepts beyond traditional database design and process modeling applications. In this paper, we propose a fundamentally new perspective on conceptual m...
As COVID-19 continues to wreak havoc in everyday lives, the need to limit the spread of the virus remains a challenge, even with advances in medical knowledge, patient care, and vaccine development. Furthermore, COVID-19 is one in a recent series of airborne diseases, and probably not the last, given the ongoing encroachment of humans into animal h...
Artificial intelligence (AI) capabilities are increasingly common components of all socio-technical information systems that integrate human and machine actions. The impacts of AI components on the design and use of application systems are evolving rapidly as improved deep learning techniques and fresh big data sources afford effective and efficien...
The digitalization of human society continues at a relentless rate. However, to develop modern information technologies, the increasing complexity of the real-world must be modeled, suggesting the general need to reconsider how to carry out conceptual modeling. This research proposes that the often-overlooked notion of "system" should be a separate...
Scientists and regular citizens alike search for ways to manage the widespread effects of the COVID-19 pandemic. While scientists are busy in their labs, other citizens often turn to online sources to report their experiences and concerns and to seek and share knowledge of the virus. The text generated by those users in online social media platform...
As COVID-19 continues to create havoc in everyday lives, the need to limit the spread of the virus remains a challenge, even with advances in medical knowledge and patient care, and the promise of a vaccine. Furthermore, COVID-19 is one in a recent series of airborne diseases, and probably not the last one, given the ongoing encroachment of humans...
General ontology is a prominent theoretical foundation for information technology analysis, design, and development. Ontology is a branch of philosophy which studies what exists in reality. A widely used ontology in information systems , especially for conceptual modeling, is the BWW (Bunge-Wand-Weber), which is based on ideas of the philosopher an...
[[COMPLETE SECONDE ISSUE OF METASCIENCE]]
This second issue of the journal Mεtascience continues the char-
acterization of this new branch of knowledge that is metasci-
ence. If it is new, it is not in a radical sense since Mario Bunge
practiced it in an exemplary way, since logical positivists were accused
of practicing only a mere metascience, s...
[[EXTRAITS DU SECOND NUMÉRO DE METASCIENCE DISPONIBLE AUX ÉDITIONS MATÉRIOLOGIQUES: https://materiologiques.com/fr/27-mtascience-discours-general-scientifique]]
Ce deuxième numéro de la revue Mεtascience poursuit la caractéri-
sation de cette nouvelle branche du savoir qu’est la métascience.
Si elle est nouvelle ce n’est pas en un sens radical pu...
Design science research (DSR) should contribute to both the prescriptive and descriptive knowledge bases. Despite its maturity, a granular understanding of how DSR develops knowledge, while utilizing and contributing prescriptive and descriptive knowledge, remains incomplete. Creating such a granular understanding requires a detailed typology of de...
The ability to sequence the human genome is a scientific, historical breakthrough. Although the human genome mapping is available to all scientists, information about it can be difficult to share. The Conceptual Schema of the Human Genome represents the concepts required to holistically understand the human genome. We report on our continued effort...
The Internet of Things, which has been quietly building and evolving over the past decade, now impacts many aspects of society, including homes, battlefields, and medical communities. Research in information systems, traditionally, has been more concentrated on exploring the impacts of such technology, rather than how to actually create systems usi...
The ability to sequence the human genome is a scientific, historical breakthrough. Although the human genome mapping is available to all scientists, information about it can be difficult to share. The Conceptual Schema of the Human Genome represents the concepts required to holistically understand the human genome. We report on our continued effort...
Digitizing activities and processes of business and society has resulted in explosive growth and availability of data. Machine learning provides methods for detecting patterns in datasets to predict outcomes and support decisions. However, many forms of machine learning are considered black boxes because the internal logic is often opaque. Given th...
Many artificial intelligence (AI) applications involve the use of machine learning, which continues to evolve and address more and more complex tasks. At the same time, conceptual modeling is often applied to such real-world tasks so they can be abstracted at the right level of detail to capture and represent the requirements for the development of...
In our modern, digital world, the critical role of information technology makes data management an important research topic. This paper curates data management research at MIS Quarterly as it has progressed from its early context of understanding requirements of relatively simple information systems to the sophisticated and complex systems of today...
Systems Analysis and Design (SAND) is undoubtedly a pillar in the field of Information Systems (IS). Some researchers have even claimed that SAND is the field that defines the Information Systems discipline and is the core of information systems. The past decades have seen the development of Structured SAND methodologies and Object-Oriented Methodo...
Sentiment analysis is used to mine text data from many sources, including blogs, support forums, and social media, in order to extract customers' opinions and attitudes. The results can be used to make important assessments about a customer's attitude towards a company and if, and how, a company should respond. However, much research on sentiment a...
Inspired by the need to understand the genomic aspects of COVID-19, the Viral Conceptual Model captures and represents the sequencing of viruses. Although the model has already been successfully used, it should have a strong ontological foundation to ensure that it can be consistently applied and expanded. We apply an ontological analysis of the Vi...
Many organizations rely on machine learning techniques to extract useful information from large collections of data. Much research in this area has focused on developing and applying machine learning techniques. We propose that using conceptual models can improve machine learning by providing needed domain knowledge to augment training data with do...
To contribute to the ongoing discussions related to understanding and organizing the field of conceptual modeling, this paper presents a reference framework for articulating conceptual modeling research. The framework accommodates the diverse nature of conceptual modeling research contributions. The framework can describe many styles of research, i...
The understanding of life has always been is a challenge of Life Science. Modeling life implies the need to describe the required details of the systemic structure associated with the working mechanisms of life. In this research, we propose that conceptual modeling can play a crucial role in the modeling of life. Specifically, we introduce the noti...
Since the first version of the Entity–Relationship (ER) model proposed by Peter Chen over forty years ago, both the ER model and conceptual modeling activities have been key success factors for modeling computer-based systems. During the last decade, conceptual modeling has been recognized as an important research topic in academia, as well as a ne...
Inspired by the need to understand the genomic aspects of COVID-19, the Viral Conceptual Model captures and represents the se-quencing of viruses. Although the model has already been successfully used, it should have a strong ontological foundation to ensure that it can be consistently applied and expanded. We apply an ontological analysis of the V...
The understanding of life has always been is a challenge of Life Science. Modeling life implies the need to describe the required details of the sys-temic structure associated with the working mechanisms of life. In this research, we propose that conceptual modeling can play a crucial role in the modeling of life. Specifically, we introduce the not...
The success of design science research (DSR) projects depends upon substantial preparation and foresight. The externalities of DSR projects, however, are too often overlooked or given short shrift as the research team wants to ‘hit the ground running’ to design and build creative solutions to interesting, real-world problems. Frequently, this rush...
With all aspects of sciences quickly becoming digital, this paper proposes digital science as a new area of inquiry for design science research. Scientists, in every field, design and develop digital systems as artifacts to support their research, resulting in all of science now becoming what Herbert Simon called the Sciences of the Artificial. The...
Developer creativity is vital for software companies to innovate and survive. Studies on social media have yielded mixed results about its impact on creativity due to the ubiquitous nature of social media. This research differentiates the effects of informational and socializing social media usage on both incremental and radical creativity and expl...
Both conceptual modeling and machine learning have long been recognized as important areas of research. With the increasing emphasis on digitizing and processing large amounts of data for business and other applications, it would be helpful to consider how these areas of research can complement each other. To understand how they can be paired, we p...
Although much research continues to be carried out on modeling of information systems, there has been a lack of work that relates the activities of modeling to human mental models. With the increased emphasis on machine learning systems, model development remains an important issue. In this research, we propose a framework for progressing from huma...
Both conceptual modeling and machine learning have long been recognized as important areas of research. With the increasing emphasis on digitizing and processing large amounts of data for business and other applications, it would be helpful to consider how these areas of research can complement each other. To understand how they can be paired, we p...
Although much research continues to be carried out on modeling of infor-mation systems, there has been a lack of work that relates the activities of modeling to human mental models. With the increased emphasis on machine learning systems, model development remains an important issue. In this re-search, we propose a framework for progressing from hu...
The Journal of Organizational Computing and Electronic Commerce (JOCEC) is entering its 31st year since its inception. This paper examines the history and impact of JOCEC and highlights its significant contributions. We analyze the impact of the journal’s research articles using emerging metrics, such as CrossRef, Google Citations, and Altmetrics....
As researchers, scientists, and the general public strive to understand and manage COVID-19, many people search the internet for clues that might help them understand and react to the virus in an informed manner. Social media has become a primary source of news for many, but it can also be a hindrance in managing crisis situations due to the preval...