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Purpose – The purpose of this research is to study the ecological developments that are growing rapidly and are complemented by technological developments that make ecology a discipline which is able to collaborate, integrate, and use data for the development of science.

Design/Methodology/Approach – The method involves integration, analysis, and conclusion, drawing knowledge dissemination from heterogeneous ecological data that make the ecological research so complex requiring an approach to simplify the problem.

Findings – The data involved in ecology are very complex and diverse and spread from various sources, which are not mutually integrated so that a structured arrangement is required through the arrangement of computer-based data management.

Research Limitations/Implications – Eco-informatics is one of the options to manage the data, settings, and transform it into information and knowledge.

This paper is an extension of a panel presentation delivered in response to a joint call for panels by the Social Informatics and Information Ethics and Policy Special Interest Groups for the 2022 Association for Information Science and Technology conference. The purpose is to introduce critical race frameworks and tenets as a lens to develop, assess and analyze the social informatics (SI) within information science (IS) research, professional discourse, praxis and pedagogical paradigms. This paper spotlights one of the presentations from that panel, an iteration of Critical Race Theory (CRT) designed specifically for information studies: CRiTical Race information Theory (CRiT).

Just as importantly, using SI as part of the context, the paper also includes a discussion that illustrates research and theory building possibilities as both counter and complement to the technocratic advances that permeate society at every level (macro, mezzo and micro), which can also be reasonably framed as the information industrial complex. Thus, CRiT joins other forms of critical discourse and praxis grappling with deconstructing, decolonizing, demarginalizing and demystifying the influence and impact of information technologies. While CRiT has global intentions and implications, this specific discussion has an extensive American focus.

If we consider the rapid pace in which techno-determinism is moving toward the vise grip of techno-fatalism controlled by frameworks generated from the information industrial complex, we can reasonably consider that humanity on a global basis is living within a meta-large technocratic crisis moment. This crisis moment is both acute and chronic. That is, the technocratic crisis is continuously moving quickly while simultaneously worsening over an extended period of time with no remedies and few responses to substantively address the crisis.

Part of the nature of information and data is measurability. Thus, identifying compatible nomenclature connecting the descriptiveness of intersectionality (a seminal CRT tool) as a qualitative research method to the measurability of data connected to quantitative research, a mixed method approach moves from possible to plausible. Additionally, within IS, there are often opportunities to measure human engagement, such as social media content, search engine use, assessing practices of categorizations, and multiple forms of surveillance data as a short list. Hence, the descriptiveness of intersectional qualitative research “mixed” with the measurability of quantitative research within information settings implies exponential methodological possibilities.

CRiT is multilayered, on the one hand, with the intention of being a discipline-specific, information-specific form of CRT. On the other hand, CRiT theory building is interdisciplinary and transdisciplinary based on information as omnipresent phenomena. An ongoing challenge for CRiT theory building is identifying and working within a balance between, practitioners who typically throw anything and everything at practical problems, while scholars often slice problems into such small segments that practical understanding is severely limited. Embracing and integrating the dynamic interplay between developing ideas and using them is the key to evolving CRiT within the social sciences.

There is plenty of room as well as a need for additional narrative discussing or challenging the use or appropriation of information from a technocratic approach, a counter to the information industrial complex.

CRiT is emerging and cutting edge in discussion that addresses the technocratic determinism found in most scholarly discourses.

This paper aims to understand how a special library helped firefighters in Illinois navigate the digital revolution by evidencing the elements and forms of work that made its innovative services possible.

The authors examine the history of a special library through a community informatics lens, drawing from sociomaterial perspectives to highlight forms of work often invisible in digital innovation. Data was collected through documentary revision, oral histories and semi-structured interviews. Deductive-inductive coding and constant comparative analysis was used in the analysis.

A historical narrative of the library between 1990 and 2021 highlights three sociotechnical innovations that assisted firefighters through the digital revolution: the facilitated collection, the co-created collection and the inside-out library. To develop these innovations the library drew from institutional relations, personal relations, grants, labor, knowledge of firefighters and technology. Various forms of articulation work brought these elements together to create innovative services.

The role of special libraries in addressing the digital divide has not been sufficiently detailed so far; this paper is a contribution in that direction. It also has practical value for professionals working in specialized libraries and information centers.

This paper aims to focus on academic library managers’ learning practices in the context of cooperative work supported by computational artefacts. Academic library managers’ everyday work is mainly cooperative. Their cooperation is supported predominantly by computational artefacts. Learning how to use the computational artefacts efficiently and effectively involves understanding the changes in everyday work that affect managers and, therefore, it requires deep understanding of their cooperative work practices.

Focused ethnography was conducted through participant observations, interviews and document analysis. Ten managers from a university library in Sweden participated in the research. A thematic method was used to analyse the empirical material. Computer supported cooperative work (CSCW) and work-integrated learning was used as the conceptual lens.

Five learning practices were identified: collaboration, communication, coordination, decision-making processes and computational artefacts’ use. The findings show that learning is embedded in managers’ cooperative work practices, which do not necessarily include sufficient training time. Furthermore, learning was intertwined with cooperating and was situational. Managers learned by reflecting together on their own experiences and through joint cooperation and information sharing while using the computational artefacts.

The main contribution lies in providing insights into how academic library managers learn and cooperate in their everyday work, emphasizing the role of computational artefacts, the importance of the work context and the collective nature of learning. It also highlights the need for continual workplace learning in contemporary knowledge work environments. Thus, the research generates contributions to the informatics field by extending the understanding of managers’ work-integrated learning in their everyday cooperative work practices supported by computational artefacts’ use. It also contributes to the intersection of CSCW and work-integrated learning.

The primary purpose of this paper is to identify the so-called core authors and their publications according to pre-defined criteria and thereby direct the users to the fastest and easiest way to get a picture of the otherwise pervasive field of bankruptcy prediction models. The authors aim to present state-of-the-art bankruptcy prediction models assembled by the field's core authors and critically examine the approaches and methods adopted.

The authors conducted a literature search in November 2022 through scientific databases Scopus, ScienceDirect and the Web of Science, focussing on a publication period from 2010 to 2022. The database search query was formulated as “Bankruptcy Prediction” and “Model or Tool”. However, the authors intentionally did not specify any model or tool to make the search non-discriminatory. The authors reviewed over 7,300 articles.

This paper has addressed the research questions: (1) What are the most important publications of the core authors in terms of the target country, size of the sample, sector of the economy and specialization in SME? (2) What are the most used methods for deriving or adjusting models appearing in the articles of the core authors? (3) To what extent do the core authors include accounting-based variables, non-financial or macroeconomic indicators, in their prediction models? Despite the advantages of new-age methods, based on the information in the articles analyzed, it can be deduced that conventional methods will continue to be beneficial, mainly due to the higher degree of ease of use and the transferability of the derived model.

The authors identify several gaps in the literature which this research does not address but could be the focus of future research.

The authors provide practitioners and academics with an extract from a wide range of studies, available in scientific databases, on bankruptcy prediction models or tools, resulting in a large number of records being reviewed. This research will interest shareholders, corporations, and financial institutions interested in models of financial distress prediction or bankruptcy prediction to help identify troubled firms in the early stages of distress.

Bankruptcy is a major concern for society in general, especially in today's economic environment. Therefore, being able to predict possible business failure at an early stage will give an organization time to address the issue and maybe avoid bankruptcy.

To the authors' knowledge, this is the first paper to identify the core authors in the bankruptcy prediction model and methods field. The primary value of the study is the current overview and analysis of the theoretical and practical development of knowledge in this field in the form of the construction of new models using classical or new-age methods. Also, the paper adds value by critically examining existing models and their modifications, including a discussion of the benefits of non-accounting variables usage.

The purpose of this paper is to improve the understanding of cloud service users’ privacy concerns, which are anticipated to considerably hinder cloud service market growth. The researchers have explored privacy concerns from dimensions that were identified as relevant in the cloud context.

Content analysis was used to identify privacy problems that were most often raised in previous cloud research. Multidimensional developmental theory (MDT) was used to build a conceptual model of cloud privacy concerns. Literature review was made to identify the privacy-related constructs used to measure privacy concerns in previous cloud research.

The paper provides systematization of recent cloud privacy research, proposal of a conceptual model of cloud privacy concerns, identification of measuring instruments that were used to measure privacy concerns in previous cloud research and identification of categories of problems that need to be addressed in future cloud research.

This paper has identified the categories of privacy problems and dimensions that have not yet been measured in the cloud context, to the best of the authors’ knowledge. Their simultaneous examination could clarify the effects of different dimensions on the privacy concerns of cloud users. The conceptual model of cloud privacy concerns will allow cloud service providers to focus on key cloud problems affecting users’ privacy concerns and use the most appropriate privacy protection communication and preservation approaches.

In the new digital age, enterprises are facing an increasing global competition. In this paper, we first examine how Information Technology (IT) can play an important role in giving significant competitive advantage in the modern enterprises. The business value of IT is examined, as well as the limitations and the trade-offs that its applicability faces. Next, we present the basic principles for a successful IT strategy, considering the development of a long-term IT renovation plan, the strategic alignment of IT with the business strategy, and the adoption of an integrated, distributed, and interoperable IT platform. Finally, we examine how a highly functional and efficient IT organization can be developed.

Our methodological approach was based to the answers of the following questions: 1. Does IT still matter? 2. What is the business value created by IT along with the corresponding limitations and trade-offs? 3. How could a successful IT Strategy be build up? 4. How could an effective? T planning aligned with the business strategy be build up? 5. How could a homogenized and distributed corporate IT platform be developed? and finally, 6. How could a high-performance IT-enabled enterprise be build up?

The enterprises in order to succeed in the new digital area need to: 1. synchronize their IT strategy with their business strategy, 2. formulate a long-term IT strategy, 3. adopt IT systems and solutions that are implemented with elasticity, interoperability, distribution, and service-orientation. 4. keep a strategic direction towards the creation of an exceptional organization based on IT.

This paper is original with respect to the integrated approach the overall problem is examined. There is a prototype combined investigation of all perspectives for an effective enforcement of IT in a way that causes acceleration in competitive advantage when conducting business.

This paper aims to propose a conceptual model of policy components for software that supports modularizing and tailoring of information security policies (ISPs).

This study used a design science research approach, drawing on design knowledge from the field of situational method engineering. The conceptual model was developed as a unified modeling language class diagram using existing ISPs from public agencies in Sweden.

This study’s demonstration as proof of concept indicates that the conceptual model can be used to create free-standing modules that provide guidance about information security in relation to a specific work task and that these modules can be used across multiple tailored ISPs. Thus, the model can be considered as a step toward developing software to tailor ISPs.

The proposed conceptual model bears several short- and long-term implications for research. In the short term, the model can act as a foundation for developing software to design tailored ISPs. In the long term, having software that enables tailorable ISPs will allow researchers to do new types of studies, such as evaluating the software's effectiveness in the ISP development process.

Practitioners can use the model to develop software that assist information security managers in designing tailored ISPs. Such a tool can offer the opportunity for information security managers to design more purposeful ISPs.

The proposed model offers a detailed and well-elaborated starting point for developing software that supports modularizing and tailoring of ISPs.

The study aims to analyze the previous literature on government initiatives to implement health information systems (HISs).

Proknow-C (Knowledge Development Process-Constructivist) was used in the selection of the literature and in the bibliometric and systematic analysis.

The research identified a portfolio composed of 33 articles aligned with the research theme and with scientific recognition, as well as periodicals, authors, papers and keywords that stood out the most. Amongst the government initiatives in the 24 identified countries, England has been the most studied nation, and there is a certain prominence of research arising from developed countries. Electronic health records (EHRs) have been the most explored technology. Efficiency and safety of health care delivery, integration of information and among health organizations, cost reduction and economicity are the most expected benefits from government programs. The difficulties found are related to the broader context in which the system is inserted, to the management of the program, to technology itself and to individuals. The most emphasized difficulties identified in most countries were previous context marked by a lack of standardization/interoperability, acceptance of providers and users and project financing. The findings of the present article provide a theoretical framework for future studies, in addition to yielding a replicable process for future use.

This research may be considered original as it analyzes – through a constructivism-structured process (Proknow-C) – the phenomenon under investigation by gathering bibliometric and systematic review data concomitantly. The countries and technologies reported emerge from the process itself.

This paper aims to present a preliminary experimental result on a large-scale experiment on a cyber-physical hybrid discussion support environment in a panel discussion session in an international conference.

In this paper, the authors propose a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously. The authors conducted a large-scale experiment in a panel discussion session in an international conference where participants can discuss by using their online discussion support system and by physical communications as usual.

The authors analyzed the obtained date from the following three viewpoints: participants’ cyber-physical attention, keywords cyber-physical linkage and cyber-physical discussion flow. These three viewpoints indicate that the methodology of the authors can be effective to support hybrid large-scale discussions.

Online large-scale discussion has been focused as a new methodology that enable people to discuss, argue and make consensus in terms of political issues, social complex problems (like climate change), city planning and so on. In several cases, the authors found that online discussions are very effective to gather people opinions and discussions so far. Moreover, this paper proposes a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously.