Field Of Information Systems Research Articles

Corporate Technology for the Implementation of an Automated System: Functional, Technological and Methodological Aspects

The purpose of the study is to form a methodological justification for the pedagogical model of the individual trajectory of professional development of bachelors and masters for the implementation of the stages of creating an automated system based on the principles of continuity and experimental verification of its application in the educational process of the university in accordance with the requirements of IT departments, vendors and employers. It is shown that there is a gap between the socio-economic order for the training of IT specialists with high professional competence in the field of information systems and the insufficient level of targeted formation of their readiness to implement the stages of creating automated systems. In addition, the lack of methods and practical recommendations for the implementation of such systems in the context of maximum preservation of corporate standards and taking into account the requirements of Russian legislation, as well as specialists competent in these matters, determined the feasibility of conducting the study in two aspects - functional-technological and pedagogical.Methods and materials. The key methods are structural-functional and process modeling, interactive methods of organizing the educational process (project method, etc.). The research materials include a functional model for developing a corporate technology for implementing an automated system in the form of a function tree.Results. The results present a model of causes and factors determining the success of the projects for the implementation of the automatization systems. The role of the factor “qualification of the performing team” and the possibilities of the educational environment of the university to influence this factor are considered. The pedagogical aspect of the research problem is determined by the methodological justification for conducting students’ project work within a number of disciplines for training bachelors and masters in the field of “Applied Informatics”. The description of the structure and requirements for students’ projects gives an idea of the level of formed competencies, their consistency with the work functions of specialists in the field of information systems.Conclusion. At this stage of work on the research problem, its dual nature was determined. On the one hand, modern IT projects require their own technologies and management methodologies, which should change from project to project, so it is important to have practical recommendations for the development of corporate technology for the implementation of an automated system. On the other hand, one of the success factors of the project for the implementation of an automated system is the “Project Implementation Team”, its level of qualification. This factor is successfully determined and influenced by educational institutions responsible for training specialists in this field. In this direction, the project method plays a key role. It ensures the development of communication skills, the ability to independently pose a problem and develop a way to solve it together. Methodological aspects and practical results, generalizing the pedagogical model for training bachelors in the field of creating automated systems presented in the paper, as well as the development of corporate technology for the implementation of information systems, were reflected in three electronic multimedia educational publications: “Portfolio of Software Engineering Projects”, “Theory and Practice of IS Implementation”, “Theory and Practice of IS Maintenance”.

Global sustainable closed-loop supply chain considering Incoterms rules and advertisement impacts

Industrial information integration plays a crucial role in modern supply chains by ensuring the smooth flow of data across all stages, including recovery, recycling, and disposal, which is essential for the successful implementation of a closed-loop supply chain (CLSC) model. Building on this, our paper addresses a global CLSC problem by incorporating International Commercial Terms (Incoterms) and international transportation modes, bridging global supply chain operations with sustainability criteria. This innovative approach advances the development of a globally sustainable CLSC by focusing on the integration of economic, environmental, and social factors, i.e., the triple bottom line of sustainability. Specifically, we address environmental concerns through the introduction of carbon taxation and enhance social sustainability by exploring the impact of advertising on customer satisfaction. To further refine this model, we classify customers based on their sustainability engagement and apply a fuzzy programming approach to account for uncertainty in customer demand influenced by advertising. To solve this complex global CLSC model, we conduct a thorough analysis of constraints and develop a robust Lagrangian relaxation reformulation. While the initial solution may result in infeasibility, we propose a heuristic algorithm that ensures feasible solutions. Our efficient Lagrangian-based heuristic, incorporating an adaptive strategy, is capable of solving large-scale networks with an approximate 10% optimality gap. Ultimately, this research provides both a comprehensive framework for practitioners to improve the environmental performance and global operations of their supply chains, as well as significant theoretical contributions to the field of industrial information systems.

Decolonizing IS through tecnologia social: Fostering epistemic plurality in the design of solidarity cryptocurrency in Latin America

AbstractWesternised paradigms dominate the information systems (IS) field, often overshadowing alternative epistemologies. This study challenges the prevailing hegemonic view and contributes to the decolonization of IS research and practice by proposing a Latin American and decolonial approach to technological development that emphasises community centrality and epistemic justice through recognition of local knowledges and Indigenous traditions. Using design ethnography, we follow the development of a solidarity cryptocurrency in a Brazilian favela. Our paper offers two key contributions. By introducing tecnologia social, an underrepresented perspective in IS, we highlight ecology of knowledges, centrality of the local and decolonial reconfiguration as principles that can enrich the understanding of IS projects from a decolonial perspective. In addition, we propose a new concept—epistemic dialogical tension—as a process wherein different epistemologies coexist and accommodate each other, encouraging a dynamic interplay of distinct human experiences and worldviews. It offers new paths to IS scholars and practitioners in navigating the complexities of epistemic plurality. We argue that tecnologia social and epistemic dialogical tension provide fertile ground for developing reimagined, decolonized approaches where multiple epistemologies can coexist, favouring the often‐silenced communities they are intended to benefit.

Guiding computationally intensive theory development with explainable artificial intelligence: The case of shapley additive explanations

This study advances the field of Computationally Intensive Theory Development (CTD) by examining the capabilities of Explainable Artificial Intelligence (XAI), in particular SHapley Additive exPlanations (SHAP), for theory development, while providing guidelines for this process. We evaluate SHAP’s methodological abilities and develop a structured approach for using SHAP to harness insights from black-box predictive models. For this purpose, we leverage a dual-methodological approach. First, to assess SHAP’s capabilities in uncovering patterns that shape a phenomenon, we conduct a Monte-Carlo simulation study. Second, to illustrate and guide the theory development process with SHAP for CTD, we apply SHAP in a use-case using real-world data. Based on these analyses, we propose a stepwise uniform and replicable approach giving guidance that can benefit rigorous theory development and increase the traceability of the theorizing process. With our structured approach, we contribute to the use of XAI approaches in research and, by uncovering patterns in black-box prediction models, add to the ongoing search for next-generation theorizing methods in the field of Information Systems (IS).

Towards decolonial IS: Insights from applying pluriverse and conviviality to analyse a co‐production intervention in Peru

AbstractWhile there is a growing interest in applying decolonial approaches within the field of information systems (IS), effective avenues for engagement remain largely unexplored. To this end, our paper introduces a framework focused on decolonial IS research informed by the notions of the pluriverse and conviviality. These concepts emphasise a focus on ontological, epistemological and methodological dimensions, with a strong orientation to justice. We illustrate the application of the framework through a re‐analysis of our own research project, the co‐production of the Metropolitan Water Observatory (MWO) in Lima, Peru. Applying the framework to learn new insights about the MWO, this paper contributes to the IS field by providing a framework from which to examine IS interventions from a decolonial perspective. In addition to advancing theoretical understanding, our framework serves as a valuable resource for scholars navigating the complex landscape of decolonial approaches in IS.

Creative employment as a modern resource of socio-economic recovery of Ukraine

The article's main idea is to substantiate the importance of creative employment for Ukraine's socio-economic recovery. Human capital, its creative element, can accelerate the transformation of a raw economy with its export orientation into a new economy dominated by technology and technologies inherent in Industry 4.0. The use of methods of dialectical analysis, synthesis, generalization, systemic, strategic, and process approaches, and techniques of abstraction made it possible to reveal the high potential of creative employment for preserving existing jobs and generating new jobs, making it attractive to investors. The systematization of the thoughts and work of domestic and foreign scientists regarding the content of creative employment is of theoretical and practical importance. In accordance with the defined goals and objectives, the conceptual principles of "narrow" and "broad" approaches to the content of creative employment are summarized and deepened. It was found that, according to the "narrow" approach, creative workers are mainly people of art and creative professions, people employed in the media industry, and specialists in the field of information systems and technologies, for which individual work is characteristic. According to the author's position, in accordance with the "broad" approach, creative employment takes place in all branches and spheres that produce material, cultural, and spiritual goods, as well as in management activities. This concept not only brings new knowledge to socioeconomics but also has practical significance for determining the scope of creative employment and evaluating state social and economic policy. The study concluded that creative employment is not an artificial phenomenon detached from technical and social progress. Its development is connected primarily with the increase in the economy's and the social and humanitarian sphere's need for innovative developments, which are subsequently commercialized. According to the author, new industrial relations are formed on this basis, which are gradually transformed into partnership ones.

Evolution of Cloud Computing Research in Information Systems

Cloud computing has become a cornerstone of modern information systems, driving significant advancements across various industries. This study conducts a bibliometric analysis to explore the evolution of cloud computing research within the field of information systems, focusing on key trends, influential publications, and author collaborations. The analysis, based on data from Google Scholar, reveals that security has consistently been a critical area of focus, reflecting the ongoing concern for safeguarding cloud environments. Additionally, the integration of cloud computing with emerging technologies like the Internet of Things (IoT) and big data is highlighted as a growing trend, emphasizing the expanding applications of cloud computing. The study also identifies distinct research clusters, suggesting opportunities for enhanced collaboration across different subfields. While the findings offer valuable insights for both researchers and practitioners, the study acknowledges its limitations, including the reliance on a single database and the potential oversimplification of complex research interactions. Future research should consider these limitations and explore new avenues to further understand and enhance cloud computing practices.

Insights and innovations in human resource information systems: A systematic literature review

The aim of this systematic literature review is to consolidate existing knowledge and identify unexplored research areas in the field of Human Resource Information Systems (HRIS). The study examines the literature published between 2000 and 2024 to understand the evolution, influence, and potential advancements of HRIS. The methodology is consistent with the PRISMA principles, which ensure a meticulous selection process. Initially, 144 publications were identified through the Scopus database. Nevertheless, only 65 articles were ultimately included after the application of rigorous inclusion and exclusion criteria. The findings suggest that HRIS is essential for the improvement of working standards, the facilitation of strategic decision-making, and the improvement of access to human resource data. Scholarly interest in HRIS has been on the rise, particularly since 2015, as it underscores the increasing utilization of technology in human resource management. The study also emphasizes critical areas for future research, such as the integration of open-source software and the service sector's role in the implementation of HRIS. This comprehensive assessment provides policymakers and HR professionals with valuable insights, aiding in the strategic development and management of human resources using advanced information systems.

Healthier information ecosystems: A definition and agenda

AbstractAs digitally enabled information systems play an increasingly central role in culture and economics, their negative consequences have become apparent. This guest editorial addresses the urgent need for information scientists to take a more deliberate stance in designing and guiding the evolution of these systems. We propose a framework for conceptualizing “healthier information ecosystems” by drawing on theories from complex systems and ecological research, grounded in a value‐oriented approach. The article reviews key concepts from systems science, complex systems, and ecology, with a focus on ecosystem and adaptation research. These perspectives offer analytical approaches for decomposing information ecosystems and provide a foundation for understanding “health” in the context of evolving, open systems. Unlike natural ecosystems, information ecosystems must be evaluated according to human values; thus, we articulate a set of values as a starting point for defining health in this context. By introducing insights from beyond the field of information systems, we aim to instigate scholarly dialog, connect prior work in new ways, and reveal new opportunities for research and intervention. This connective and argumentative contribution is intended to guide future research and identify solutions to the proliferating problems in our current information ecosystems.

Operationalizing responsible AI principles through responsible AI capabilities

AbstractResponsible artificial intelligence (RAI) has emerged in response to growing concerns about the impact of AI. While high-level principles have been provided, operationalizing these principles poses challenges. This study, grounded in recent RAI literature in organizational contexts and dynamic capability theory, and informed by literature on RAI principles and expert interviews in organizations deploying AI systems, (1) problematizes the high-level principles and low-level requirements and underscores the need for mid-level norms by adopting dynamic capability as a theoretical lens, and (2) develops five themes to capture firms’ RAI capability, including (i) understandable AI model, (ii) bias remediation, (iii) responsiveness, (iv) harmless, and vi) common good. As our contribution to the field of information systems (IS), this study extends the emerging literature on operationalizing RAI and dynamic capabilities, empirically elucidating the capabilities needed by firms. For IS practice, we provide organizations deploying AI with novel insights to aid in the responsible implementation of AI.

ChatGPT and service: opportunities, challenges, and research directions

PurposeSince its inception, ChatGPT has been disruptively transforming how businesses operate along the whole value chain. The service sector is no exception from these technological advances. Given its potential and significance, five major areas whereby ChatGPT has great potential in services management are identified and discussed in terms of opportunities, challenges and research agendas: service marketing, customer experience, digital services, cost-effective service excellence, and ethical and corporate digital responsibility.Design/methodology/approachBy adopting an expert-oriented perspective approach, the study leverages the expertise of 11 knowledgeable contributors from the fields of service and information systems to foresee the implications of ChatGPT in services. The article comprehensively examines the current body of literature and practices in ChatGPT and services and proposes a forward-thinking research agenda for service scholars and practitioners.FindingsThe contributors recognize that ChatGPT has the potential to transform service offerings significantly, enrich customer experiences, optimize service costs, and contribute to societal advantages through improved digital services. However, they also acknowledge the disruption ChatGPT may cause to traditional service practices, including the potential loss of human touch in services, challenges to privacy and security, and the potential negative outcomes affecting service consumers and employees in terms of inequality, biases, and misuse of ChatGPT.Originality/valueThis article introduces a groundbreaking investigation into the use of ChatGPT in services management. The originality is demonstrated by examining the potential and obstacles to applying ChatGPT in different service domains. In addition, this research serves as a guiding light for subsequent studies by suggesting an in-depth research agenda, including understanding the design and optimization of ChatGPT in the customer service journey, the role of ChatGPT in assisting service organizations to promote responsible services, and implications of ChatGPT on service stakeholders.

COEXISTENCE OR REPLACEMENT? HOW ATTACHMENT TO PRINT AND PERCEIVED USEFULNESS SHAPE AUDIOBOOK ADOPTION

Objective: The objective of this study is to investigate the factors influencing readers’ choice between audiobooks and physical books. The research focuses on how perceived ease of use and attachment to printed books affect the intention to adopt audiobook services. Theoretical Framework: The Technology Acceptance Model (TAM) is a prominent theory in the field of information systems that explains how users adopt new technologies. Method: For this research, the methodology comprises quantitative method, PLS-SEM analysis, and structural model evaluation. Data collection was carried out through online questionnaires. Results and Discussion: The study supports the role of Perceived Ease of Use (PEOU) in increasing Perceived Usefulness (PU) for audiobooks. Attachment to physical books seems to be a complex factor not solely influenced by ease of use or perceived benefits of audiobooks. Research Implications: The study highlights the importance of user-friendly audiobook platforms. Providers should design intuitive interfaces and emphasize ease of use to attract new customers, communicate the practical benefits of audiobooks, such as convenience and utility, consider offering resources or programs that improve technology literacy and comfort, and develop strategies to address attachment by emphasizing how audiobooks can complement, rather than replace, the traditional reading experience. Originality/Value: This study contributes to the literature by highlighting attachment to traditional reading formats as a factor influencing audiobook adoption. Previous TAM studies primarily focused on perceived ease of use and perceived usefulness. This study suggests that emotional attachment to physical books can be a resistance mechanism hindering audiobook adoption.

Sharing service in healthcare systems: A recent survey

Innovation in the sharing economy continues to thrive within healthcare systems. Emerging internet platforms and traditional hospitals/alliances have created diverse healthcare sharing scenarios, integrating a wide range of dispersed specialized medical resources to provide more convenient and efficient solutions to meet diverse demands. We adopt a classification framework based on staff, supplies, information, and alliances, guided by the concepts and scenarios of healthcare sharing. We mainly review research issues in the fields of operations management and information systems over the past decade, encompassing service pricing and matching, patient flow management, inventory management, multiple resources scheduling and allocation, network and mechanism design, quality evaluation, technology impact and cost-effectiveness analysis. Combining the advancements of digital intelligence technology and the evolution of healthcare sharing modes, we present some new problems, scenarios, and approaches, which offer potential opportunities for future research.

Determinants of Intention to Use of Hospital Information Systems among Healthcare Professionals

Health information systems (HISs) are instrumental in improving the efficiency and effectiveness of hospital operations, from managing patient data to enhancing decision-making processes. This study, which holds significant implications for the healthcare industry, aimed to identify the factors that influence users’ intentions to use HISs. The research involved interviews with healthcare professionals licensed to use the HIS of a public hospital. The survey, conducted in 2020, received 113 responses. Statistical methods of descriptive analysis, correlation, and multiple linear regression were used. Two models were examined. The first model investigated the relationship between the dependent variable of the intention to use an HIS and the independent variables of perceived time savings and perceived privacy protection. The second model explored the impact of age and education as control variables in the connection between the intention to use an HIS and time savings and privacy protection. A significant moderate positive correlation was found between the intention to use an HIS and perceived time savings, while a significant weak positive correlation was detected between the intention to use an HIS and education. Regression analysis in the first model revealed a significant connection between the intention to use an HIS and perceived time savings. However, the perceived privacy protection variable did not show a significant relationship with the dependent variable. The second model showed statistical significance in the relationship between the intention to use an HIS and education, but not with the second control variable, age. It can be concluded that education strengthens the positive impact of perceived time savings on the intention to use a health information system (HIS), a finding that has immediate and practical implications for healthcare professionals and researchers in the field of health information systems and healthcare management, underlining the importance of this research in advancing the understanding and adoption of HISs in healthcare settings.

Will PLS have to become factor-based to survive and thrive?

ABSTRACT Structural equation modelling (SEM) is a general method that aims at estimating models with latent variables (LVs), where the LVs are measured indirectly and with some imprecision via questionnaires. This is done usually employing question-statements answered on Likert-type scales. In this paper we discuss various forms of SEM, and demonstrate that composite-based models, common in classic partial least squares (PLS) implementations, are poorly aligned with the very idea of SEM. We argue that minimisation of type I and II errors, or false positives and negatives respectively in hypothesis testing, can only happen if LVs are implemented as factors (and not as composites). This requires the use of modern, factor-based PLS methods, which have some advantages not only over classic PLS implementations, but also over covariance-based SEM approaches. Our main goal with this paper is to stimulate debate, whether pro or against our views. If we are generally correct in our thinking, the impact on how quantitative research is conducted in the field of information systems, as well as many other fields, could be quite dramatic. The reason for this is the widespread use of SEM in information systems, business, and the behavioural sciences.

A comprehensive review of techniques for documenting artificial intelligence

PurposeCompanies are increasingly benefiting from artificial intelligence (AI) applications in various domains, but also facing its negative impacts. The challenge lies in the lack of clear governance mechanisms for AI. While documentation is a key governance tool, standard software engineering practices are inadequate for AI. Practitioners are unsure about how to document AI, raising questions about the effectiveness of current documentation guidelines. This review examines whether AI documentation guidelines meet regulatory and industry needs for AI applications and suggests directions for future research.Design/methodology/approachA structured literature review was conducted. In total, 38 papers from top journals and conferences in the fields of medicine and information systems as well as journals focused on fair, accountable and transparent AI were reviewed.FindingsThis literature review contributes to the literature by investigating the extent to which current documentation guidelines can meet the documentation requirements for AI applications from regulatory bodies and industry practitioners and by presenting avenues for future research. This paper finds contemporary documentation guidelines inadequate in meeting regulators’ and professionals’' expectations. This paper concludes with three recommended avenues for future research.Originality/valueThis paper benefits from the insights from comprehensive and up-to-date sources on the documentation of AI applications.

Do Parents Push the Button? Parental Influence on IT Career Choices of Sri Lankan University Students

Parental influence is a powerful force shaping career choices of young individuals, especially in emerging fields with limited understanding. This influence is particularly crucial for careers in newly emerged industries like Information Technology (IT) and Information Systems (IS). In contexts where parental influence is traditionally strong, understanding how parents shape their children’s interest in these fields becomes even more important. This study addresses this gap by investigating how Sri Lankan’s parents influence their children’s career choices in the IS field. We employed a quantitative approach, surveying 247 IS students at a Sri Lankan state university using a self-administered questionnaire that measured six key parental influence attributes. The findings suggest that three attributes: ‘perceived parental career concerns on welfare and prestige’, ‘perceived transmission of parental views and values regarding career’, and ‘perceived parental encouragement to self-direction in career choice’, have a significant impact on students’ career selection in IS sector. The study further assessed the influence of parents’ demographic variables on students’ career choices. These findings provide valuable insights for educators, counselors, and policymakers, emphasizing the need for tailored guidance to enhance students’ understanding of IS career opportunities.

Personalised Course Recommender: Linking Learning Objectives and Career Goals through Competencies

This paper presents a Knowledge-Based Recommender System (KBRS) that aims to align course recommendations with students' career goals in the field of information systems. The developed KBRS uses the European Skills, Competences, qualifications, and Occupations (ESCO) ontology, course descriptions, and a Large Language Model (LLM) such as ChatGPT 3.5 to bridge course content with the skills required for specific careers in information systems. In this context, no reference is made to the previous behavior of students. The system links course content to the skills required for different careers, adapts to students' changing interests, and provides clear reasoning for the courses proposed. An LLM is used to extract learning objectives from course descriptions and to map the promoted competency. The system evaluates the degree of relevance of courses based on the number of job-related skills supported by the learning objectives. This recommendation is supported by information that facilitates decision-making. The paper describes the system's development, methodology and evaluation and highlights its flexibility, user orientation and adaptability. It also discusses the challenges that arose during the development and evaluation of the system.

Unified Theory of Acceptance and Use of Technology in Evaluating Voters' Intention Towards the Adoption of Electronic Forensic Election Audit System

Electronic voting systems have been introduced to improve the efficiency, accuracy, and transparency of the election process in many countries around the world, including Nigeria. However, concerns have been raised about the security and integrity of these systems. One way to address these concerns is through the implementation of electronic forensic election audit systems. This study aims to evaluate voters' intention to the adoption of electronic forensic election audit systems using the Unified Theory of Acceptance and Use of Technology (UTAUT) model which is a robust and reasonable theory for technology acceptance. In the study, the UTAUT model which is a widely used model in the field of information systems to explain the factors that influence individuals' intention to use a technology by integrating performance expectancy, effort expectancy, social influence, facilitating conditions, cost factor and privacy factor to voters’ behavioural intention was proposed. A total of 294 sample data were collected from a selected population of electorates who had at one time or the other participated in at least an electioneering process in Nigeria. The data was then analyzed statistically using Partial Least Square Structural Equation Modeling (PLS-SEM). The results obtained show that all variables have significant effect on the electorates’ behavioral intention to adopt the development and implementation of electronic forensic election audit system in Nigeria.

Requirements for Applying Knowledge Management to Improve Electronic Management in Educational Institutions in Light of Digital Transformation: An Analytical Study

Requirements for Applying Knowledge Management to Improve Electronic Management in Educational Institutions in Light of Digital Transformation: An Analytical Study