Edona Elshan
Title
Dr.
Last Name
Elshan
First name
Edona
Email
edona.elshan@unisg.ch
30 results
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Item type:Publication, Navigating Flexibility and Standardisation in Low‐Code/No‐Code DevelopmentLow-code/no-code (LCNC) platforms, such as ServiceNow and Microsoft Power Platform, enable employees without formal IT training to build applications and automate workflows, thus driving agility and reducing dependence on traditional IT teams. However, LCNC platforms also pose a persistent challenge for organisations: while they offer flexibility and freedom by enabling decentralised development, they also require standardisation and control to manage risks that can be exacerbated by these platforms, such as shadow IT and technical debt. Striking the right balance is difficult—too much flexibility can compromise stability, while too much standardisation can stifle the autonomy and creativity that make LCNC platforms valuable in the first place. This study explores flexibility–standardisation tensions in LCNC development through an investigation of two multinational technology firms with differing LCNC maturity levels, both using ServiceNow. Drawing from 57 interviews, we identify three types of flexibility-standardisation tensions shaped by three key elements of LCNC development: the platform itself, the people using the platform and the organisational processes targeted for improvement. We derive six guidelines used to navigate flexibility–standardisation tensions and demonstrate how these are applied across different stages of LCNC maturity. Building on these insights, we provide concrete, context-sensitive recommendations to help organisations adapt the guidelines to their specific environments. We conclude with forward-looking reflections on how firms can dynamically make sense of these tensions as LCNC platforms and practices evolve. Overall, our findings show that effective LCNC governance requires a dynamic approach—one that balances flexibility and standardisation simultaneously rather than treating them as opposing choices.Type:journal articleJournal:Information Systems JournalScopus© Citations 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stairway to Heaven or Highway to Hell: A Model for Assessing Cognitive Automation Use Cases(2024-03); ; ; Cognitive automation (CA) moves beyond rule-based business process automation to target cognitive knowledge and service work. This allows the automation of tasks and processes, for which automation seemed unimaginable a decade ago. To organizations, these CA use cases offer vast opportunities to gain a significant competitive advantage. However, CA imposes novel challenges on organizations’ decisions regarding the automation potential of use cases, resulting in low adoption and high project failure rates. To counteract this, we draw on an action research study with a leading European manufacturing company to develop and test a model for assessing use cases’ amenability to CA. The proposed model comprises four dimensions: cognition, data, relationship, and transparency requirements. The model proposes that a use case is less (more) amenable to CA if these requirements are high (low). To account for the model’s industry-agnostic generalizability, we draw on an internal evaluation within the action research company and three additional external evaluations undertaken by independent project teams in three distinct industries. From a practice perspective, the model will help organizations make more informed decisions in selecting use cases for CA and planning their respective initiatives. From a research perspective, the identified determinants affecting use cases’ amenability to CA will enhance our understanding of CA in particular and artificial intelligence as the driving force behind CA in general.Type:journal articleJournal:Journal of Information Technology (JIT)Volume:39Issue:1Scopus© Citations 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Diffusion of the Metaverse: How YouTube Influencers Shape Mass Adoption(2024); Scopus© Citations 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Leveraging Low Code Development of Smart Personal Assistants: An Integrated Design Approach with the SPADE Method(2023-03-31); ; ; Smart personal assistants (SPAs) promise individualized user interactions owing to their varying interaction possibilities, knowledgeability, and human-like behaviors. To support the widespread adoption and use of SPAs, organizations such as Google or Amazon provide low code environments that support the development of SPAs (e.g., for Google Home or Amazon’s Alexa). These so-called low code platforms enable domain experts (e.g., business users without programming skills or experience) to develop SPAs for their purposes. However, using these platforms alone does not guarantee a useful and good conversation with novel SPAs due to non-intuitive design choices. Following a design science research approach, we propose the Smart Personal Assistant for Domain Experts (SPADE) method to address the missing link. This method supports domain experts in the development and contextualization of sophisticated SPAs for various application scenarios and focuses especially on conversational and anthropomorphic design steps. Our proof of concept and proof of value results show that SPADE is useful for supporting domain experts to create effective SPAs in different domains beyond private set-ups.Type:journal articleJournal:Journal of Management Information Systems (JMIS)Volume:40Issue:1Scopus© Citations 28 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future(Springer Science + Business Media, 2022-01-04); ; ; ; Intelligent agents (IAs) are permeating both business and society. However, interacting with IAs poses challenges moving beyond technological limitations towards the human-computer interface. Thus, the knowledgebase related to interaction with IAs has grown exponentially but remains segregated and impedes the advancement of the field. Therefore, we conduct a systematic literature review to integrate empirical knowledge on user interaction with IAs. This is the first paper to examine 107 Information Systems and Human-Computer Interaction papers and identified 389 relationships between design elements and user acceptance of IAs. Along the independent and dependent variables of these relationships, we span a research space model encompassing empirical research on designing for IA user acceptance. Further we contribute to theory, by presenting a research agenda along the dimensions of the research space, which shall be useful to both researchers and practitioners. This complements the past and present knowledge on designing for IA user acceptance with potential pathways into the future of IAs.Type:journal articleJournal:Information Systems FrontiersVolume:24Issue:3Scopus© Citations 79 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designfaktoren zur Wertmaximierung von B2B Datenaustausch in datengetriebenen Plattform ÖkosystemenType:journal articleJournal:HMD Praxis der WirtschaftsinformatikVolume:59Issue:5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Future of Work Unleashed: Generative AI's Role in Shaping Knowledge Workers' Autonomous Motivation(2024-06); ; Sandvik Hakon OslandGenerative artificial intelligence (AI) such as ChatGPT is increasingly used by knowledge workers. The benefits of its use for productivity are obvious. However, prior literature has overlooked a potentially crucial benefit of using generative AI: that its use can motivate users. Building on self-determination theory, we argue that knowledge workers using generative AI experience greater perceived competence, autonomy, and relatedness as a result of its use. We thereby advance self-determination theory, uncover a potential additional benefit of using generative AI, and show fruitful avenues for future research.Type:conference paperJournal:ECIS 2024 Proceedings - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploring The Paradoxical Tensions in Low Code Environments(2024); ; The rapid acceleration of digitalization has increased the demand for dynamic software development, exposing a significant skills gap in IT. Low Code Development Platforms (LCDP) have emerged as a crucial solution, enabling faster development cycles and democratizing software creation. However, integrating citizen and professional developers within these platforms introduces new challenges, particularly in task division, collaboration, and governance. This study explores the dynamic of the interactions in low code environments, using paradox theory to analyze the resulting tensions – the paradox of empowerment, the paradox of security, and the paradox of harmonization – and their impact on both innovation and efficiency. Our findings provide critical insights into the roles, collaborative processes, and governance frameworks necessary for effective and balanced LCDP implementation. These insights provide a framework for effective and balanced LCDP implementation, offering organizations strategies to enhance innovation while managing the inherent complexities within these environments.Type:conference paperJournal:International Conference on Information Systems (ICIS) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Unveiling Challenges and Opportunities in Low Code Development Platforms: A StackOverflow Analysis(2024-01-07); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Rise of Generative AI in Low Code Development Platforms – An Analysis and Future Directions(2024-01-06); ; This study investigates the relationship between Generative AI (GenAI) and Low Code Development Platforms (LCDPs), providing preliminary insights into Gen's transformative potential in this context. It is based on expert interviews and provides insight into the changing landscape of LCDPs influenced by GenAI. The findings highlight the promising benefits of GenAI in LCDPs, such as increased efficiency and decreased errors, while also emphasizing the importance of human oversight and collaboration. The findings also highlight the importance of interpersonal skills in IT, even in an increasingly automated environment. While the economic efficiency and broader implications of GenAI are still being investigated, the study lays the groundwork for future research in this rapidly evolving domain.Type:conference paperJournal:Hawaii International Conference on System Sciences (HICSS)
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