Low-Coders, No-Coders, and Citizen Developers in Demand: Examining Knowledge, Skills, and Abilities Through a Job Market Analysis

2023 | International Conference on Business Informatics | Citations: 0

Authors: Binzer, Björn; Winkler, Till J.

Abstract: The emergence of low-code/no-code (LCNC) platform technologies and the resultin ... Expand

Abstract: The emergence of low-code/no-code (LCNC) platform technologies and the resulting increase in citizen development programs are facilitating the democratization of the design, development, and deployment of digital solutions. Citizen developers, non-technical employees who leverage LCNC platforms, are at the heart of this trend. While many firms perceive LCNC and citizen development as a crucial component of their digital transformation strategy, little is known about the evolving roles in this field or the necessary knowledge, skills, and abilities (KSA). To address this knowledge gap, we processed 113,106 job postings published on Indeed.com. Our topic modeling methodology identified 34 KSA topics and classified them into the three domains platform, business, and technology. We contribute to research by empirically demonstrating which competencies are required to successfully work in the LCNC field. Our findings can guide individual professionals and organizations alike. Collapse

Topics: online labor market Indeed.com low code development platform Python project management

Methods: topic model natural language processing computational algorithm latent dirichlet allocation NLTK

Disentangling the Tension Between Automation and Augmentation with Artificial Intelligence in Healthcare

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Grüning, Maximilian; Trenz, Manuel; Santos, Daniel Pinto dos

Abstract: Artificial Intelligence (AI) has the potential to be a powerful tool for the fu ... Expand

Abstract: Artificial Intelligence (AI) has the potential to be a powerful tool for the future of medical professionals. However, we recognize a tension between AI independence (automation) and human involvement (augmentation) in medical decision-making. To resolve this tension, we conducted a systematic literature review to gain an overview of the current knowledge of AI in healthcare. In this systematic literature review, we search and analyze the leading journals in management and information systems for a period from 2012 to 2022. We find that several tasks related to diagnosis, treatment, or administrative work can be effectively automated or augmented with AI. We contribute to information systems research by highlighting possible scenarios for the effective use of AI in medical decision-making. Understanding and mitigating these tensions are particularly important for medical decision-makers, regulators, and managers who are struggling with guidelines for the appropriate use of AI and certification of accountability. Collapse

Topics: artificial intelligence decision making robotic expert system robotic process automation

Methods: literature sample structured literature research literature study artificial neural network business process modeling

The implementation of artificial intelligence in organizations: A systematic literature review

2023 | Information & Management | Citations: 0

Authors: Lee, Maggie C.M.; Scheepers, Helana; Lui, Ariel K.H.; Ngai, Eric W.T.

Abstract: This study seeks to thoroughly understand the organizational context in which Ar ... Expand

Abstract: This study seeks to thoroughly understand the organizational context in which Artificial Intelligence (AI) would be implemented, through a systematic review and analysis of articles published (up to 2021) in 31 journals on information systems, business, management, and operations management. Seventy themes are identified from the literature and categorized into organizational, information systems, technological, and people dimensions for the antecedents, challenges, guidelines, and consequences of AI implementation in organizations. A conceptual framework for understanding AI implementation in organizations is also proposed. This study provides a research agenda to guide future research and facilitate knowledge accumulation and creation on AI implementation. Collapse

Topics: artificial intelligence robotic process automation database system expert system accounting

Methods: literature study literature sample structured literature research business process modeling mixed method

Digital Transformation Team’s Capabilities for Process Automation

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Li, Yuzhu

Abstract: Firms face increasing pressure to refine business values and succeed in digital ... Expand

Abstract: Firms face increasing pressure to refine business values and succeed in digital transformation. It is essential for organizations to have the required competence and capabilities to make innovation happen. This study argues that digital transformation teams should build the right competence profiles to deliver the changes using digital tools. Based on the dynamic capability theory, this paper proposes that the team's digital problem-solving capability and benefits management capability are essential for digital transformation success. Using process automation as a context, this paper suggests that digital transformation teams should build data literacy, business process management competence, and computational thinking to form their capabilities for digital transformation, leading to process automation outcomes. This paper develops the conceptual research model and discusses the research method and the future plan. Collapse

Topics: problem solving process automation system business process management digital transformation data literacy

Methods: business process modeling qualitative interview

Theories: dynamic capabilities theory

TOWARDS SME GROWTH: RPA AS AN INTERVENTION TECHNOLOGY IN ACTION DESIGN RESEARCH

2023 | European Conference On Information Systems | Citations: 0

Authors: Nielsen, Peter Eli-Friis; Hansen, Magnus; Hougaard, Mads

Abstract: ... Expand

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Topics: web page robotic process automation enterprise architecture

Methods: design science action design research design theory qualitative interview single case study

Analysing cooperatives’ digital maturity using a synthetic indicator

2023 | International Journal of Information Management | Citations: 0

Authors: Ribeiro-Navarrete, Belén; Martín Martín, José María; Guaita-Martínez, José Manuel; Simón-Moya, Virginia

Abstract: A company’s digitalisation journey spans multiple dimensions and processes. Howe ... Expand

Abstract: A company’s digitalisation journey spans multiple dimensions and processes. However, studies of digital maturity have focused only on certain parts of the process. This study presents a method capable of fully capturing a company’s level of digital maturity. A DP2 indicator of digital maturity was constructed. This in­ dicator is based on responses to a company survey of digitalisation in different business areas and processes. Companies with the highest degree of digitalisation are the oldest and largest (most employees). Differences between companies and sectors can be explained by the level of digitalisation in terms of digital management intensity, departmental agility and digital orientation. Collapse

Topics: IS maturity mobile system IS management innovation management cloud computing

Methods: survey field study literature study descriptive statistic linear regression analysis

Envisioning Digital Transformation: Advancing Theoretical Diversity

2023 | Journal of the Association for Information Systems | Citations: 0

Authors: Rowe, Frantz; Markus, M. Lynne

Abstract: ... Expand

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Topics: digital transformation sensemaking internet of things robotic process automation digital innovation

Methods: theory development theoretical contribution literature study business process modeling grounded theory

Theories: theory of change strategic management theory complexity theory organizational behavior theory

When Harry, the human, met Sally, the software robot: Metaphorical sensemaking and sensegiving around an emergent digital technology

2023 | Journal of Information Technology | Citations: 0

Authors: Techatassanasoontorn, Angsana A; Waizenegger, Lena; Doolin, Bill

Abstract: Robotic process automation (RPA) is often used in organisational digitalisation ... Expand

Abstract: Robotic process automation (RPA) is often used in organisational digitalisation efforts to automate work processes. RPA, and the software robots at its heart, is an equivocal and contentious technology. Adopting the products of theorising approach, this study views metaphors as central sensemaking and sensegiving devices that shape the interpretation of RPA among stakeholders towards a preferred reality of ways of seeing and experiencing software robots. The empirical materials are drawn from research in three Australasian organisations that have implemented RPA. Grounding our analysis in the domains-interaction model, we identified three root metaphors: person, robot and tool, their constitutive conceptual metaphors, and intended use as heuristics devices. Our findings show that metaphor is a powerful device that employees rely on to make sense of their experiences with a new digital technology that can potentially shape their roles, work practices and job design. In addition, managers and automation team members intentionally leverage metaphors to shape others’ perceptions of a software robot’s capabilities and limitations, its implication for human work and its expanding benefits for organisations over time, among others. Metaphor as a precursor to more formal theory provides scholars with a vocabulary to understand disparate experiences with an emergent automation technology that can be further developed to generate a theory of seeing automation and working with automated agents. Collapse

Topics: robotic sensemaking process automation system personality systems development

Methods: theory development qualitative interview case study interpretative method personal interview

Effect of digitization on management accountants´ tasks and tools

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Wadan, Rafi; Goetze, Uwe

Abstract: Digitization and the increased available data volumes are triggering a fundamen ... Expand

Abstract: Digitization and the increased available data volumes are triggering a fundamental change in Management Accountants' (MAs) scope of tasks and activities. In particular, the current technological developments, including analytics or automation tools, are eliminating standard tasks and processes. This article examines the shift in the job description of a MA regarding changes in technologies, methods, and tools in times of digitization. The results of an analysis of job advertisements provide an overview of the development of tasks, trends and technologies for Management Accountants (MA) in Germany. Our results highlight an increasing demand for Machine Learning, Predictive Analytics and Robotic Process Automation backgrounds, suggesting a shift of the MAs role towards a business partner role with minimization of repetitive tasks. Collapse

Topics: management accounting big data database system robotic process automation pandemic

Methods: machine learning triangulation mixed method qualitative interview case study

What Makes AI Different? Exploring Affordances and Constraints - The Case of Auditing

2023 | European Conference On Information Systems | Citations: 0

Authors: Yang, Jiaqi; Marrone, Mauricio; Amrollahi, Alireza

Abstract: This study aims to gain a comprehensive understanding of the differences betwee ... Expand

Abstract: This study aims to gain a comprehensive understanding of the differences between classic IT and AI artefacts. To achieve this objective, the study employs a grounded theory literature review approach and analyses 81 papers related to the application of classic IT and AI artefacts in the auditing industry. Drawing on the Technology Affordances and Constraints Theory, we examine the actions that can be potentially enabled or restricted by using classic IT and AI artefacts. This analysis allows us to conceptualise and compare the affordances and constraints associated with these two types of artefacts. The study addresses the need for more research on AI from both social and technical perspectives. Our findings may facilitate practitioners in improving their business processes and promoting effective collaboration between humans and AI. Collapse

Topics: artificial intelligence affordance auditing information system artificial general intelligence weak AI

Methods: machine learning literature study image processing business process modeling design artifact

Theories: theory of affordance