ECIS 2026 (2026) AI Processed Human Approved
TIME TO TURN OFF THE LIGHTS:A SUCCESS FACTOR FRAMEWORK FOR ADVANCING HYPERAUTOMATION IN ORGANIZATIONS
This study develops a Hyperautomation Success Factor Framework grounded in affordance theory using a mixed-methods design science research approach. The researchers identified 15 key success factors across five organizational dimensions through 17 semi-structured expert interviews and subsequently validated them using a survey of 103 stakeholders.
Problem
Organizations frequently fail to align rapid, short-term automation technologies with long-term systemic change, resulting in fragmented technology landscapes and system incompatibilities. Prior research has primarily focused on tool-specific implementations or abstract conceptual definitions, leaving a significant gap in structured, actionable guidance for scaling hyperautomation across diverse organizational layers.
Outcome
- The survey results statistically supported all 15 success factors within the framework, achieving a high average agreement score of 6.05 out of 7, with 93.2% of respondents selecting positive agreement.
- 'Leadership Commitment' (SF3) and 'Communication and Trust Building' (SF4) received the highest levels of overall agreement, indicating strong statistical support.
- 'Strategic Partner Collaboration' (SF15) and 'Customer Integration' (SF13) received statistically supported relevance, although they had comparatively lower overall agreement scores.
- The study's generalizability is limited by the German context of the initial qualitative interviews, a modest quantitative survey sample size (n = 103), and its reliance on subjective assessments rather than objective performance metrics.
- 'Leadership Commitment' (SF3) and 'Communication and Trust Building' (SF4) received the highest levels of overall agreement, indicating strong statistical support.
- 'Strategic Partner Collaboration' (SF15) and 'Customer Integration' (SF13) received statistically supported relevance, although they had comparatively lower overall agreement scores.
- The study's generalizability is limited by the German context of the initial qualitative interviews, a modest quantitative survey sample size (n = 103), and its reliance on subjective assessments rather than objective performance metrics.
What it means for you
- CIO / IT Executive: On Monday morning, schedule a 30-minute alignment meeting with business unit heads to establish a joint 'Hyperautomation Governance Board' to audit all active shadow-IT automation tools (like RPA and low-code apps) and map them against your long-term IT integration roadmap to prevent fragmented technical debt.
- IT Manager: On Monday morning, block out two hours to audit your current automation deployment backlog and draft a standardized 'API-First Integration Checklist' that your development team must use to ensure new automations do not bypass APIs and create system incompatibilities.
- Business Strategist: On Monday morning, select one high-volume customer-facing workflow and schedule a scoping call with a key strategic partner to co-design an integrated, automated data-sharing process, directly applying the 'Customer Integration' (SF13) and 'Strategic Partner Collaboration' (SF15) success factors.
- Researcher: On Monday morning, draft a research proposal and outreach email to target three non-German, US-based enterprises to secure pilot sites for a comparative case study that measures objective operational KPIs (such as transaction error rates and processing speed) to validate the subjective findings of the 15-factor framework.
- Policymaker: On Monday morning, draft an amendment to your organization's IT Procurement Policy mandating that any new business unit purchasing low-code or RPA tools must submit a 'Systemic Compatibility and Trust Impact Assessment' addressing how the tool aligns with the enterprise IT architecture and employee trust-building guidelines.
Transcript
Host: Welcome to A.I.S. Insights - Turning IS Research into Business Action. I'm Anna Ivy Summers.
Expert: And I'm Alex Ian Sutherland.
Host: Today we are discussing a study titled "TIME TO TURN OFF THE LIGHTS: A SUCCESS FACTOR FRAMEWORK FOR ADVANCING HYPERAUTOMATION IN ORGANIZATIONS". This study develops a structured framework designed to help businesses transition from isolated, short-term automation tasks to fully coordinated, end-to-end hyperautomation.
Expert: That's right, Anna. The study is grounded in affordance theory, which looks at the action potentials that technology offers to an organization. By using a mixed-methods approach, the researchers identified fifteen success factors across five organizational dimensions to help businesses manage this complex transition.
Host: Let's talk about the big problem this study addresses. Why do so many organizations struggle with scaling their automation efforts?
Expert: The core issue is that companies frequently implement rapid, short-term automation technologies to solve immediate, localized problems. However, they often fail to align these tools with long-term, systemic organizational change. This lack of alignment results in fragmented technology landscapes, legacy system incompatibilities, and high costs when trying to integrate different systems later on.
Host: So instead of a seamless, automated workflow, they end up with a patchwork of tools that don't talk to each other. How did the researchers construct a framework to solve this?
Expert: They adopted a design science research approach. First, they conducted seventeen semi-structured interviews with experts in automation, IT project management, and general management to gather practice-oriented insights. They analyzed this qualitative data using a structured coding methodology to identify the success factors. After grouping these factors, they validated them using a quantitative survey of one hundred and three stakeholders across management, IT, and change management.
Host: What did the survey reveal about these fifteen success factors?
Expert: The survey results statistically supported all fifteen factors in the framework. Across all items, the success factors achieved a high average agreement score of six point zero five out of seven, with ninety-three point two percent of the respondents selecting positive agreement.
Host: Were there specific factors that stood out with stronger support than others?
Expert: Yes. The factors 'Leadership Commitment' and 'Communication and Trust Building' received the highest levels of overall agreement. On the other hand, factors like 'Strategic Partner Collaboration' and 'Customer Integration' received statistically supported relevance but had comparatively lower overall agreement scores.
Host: It is important to be transparent about the context of these findings. What are the limitations of this study that practitioners should keep in mind?
Expert: The initial qualitative interviews were limited to a German business context, which might affect transferability to other regions. Additionally, the quantitative survey had a modest sample size of one hundred and three respondents, and it relied on subjective stakeholder assessments of relevance rather than objective financial or performance metrics.
Host: Let's focus on what technology and business professionals can actually do with this knowledge. How does this framework translate to practical business action?
Expert: Practitioners can use this framework as both a diagnostic and prioritization tool. Instead of viewing hyperautomation as purely a technological upgrade, managers should understand it as a coordinated, multidimensional effort. Before investing heavily in new software, leaders can assess their current capabilities across the five dimensions: organization and culture, people, project, technology and processes, and environment.
Host: That makes sense. It means you can't just fix the technology without preparing the people and the organizational structure.
Expert: Exactly. For example, under the "People" dimension, the study highlights that building trust and actively managing fears of job replacement are critical to sustaining acceptance. Under the "Project" dimension, the study suggests starting with iterative delivery and clear pilot projects that target high-benefit or unpopular tasks to demonstrate quick successes. This helps build momentum and organizational support.
Host: So, it's about executing these factors in parallel rather than in isolation to avoid the fragmentation trap.
Expert: Precisely. True value emerges from the synchronized realization of these interdependent factors across the entire organization.
Host: To summarize, hyperautomation is a comprehensive journey that requires strategic alignment, leadership commitment, active communication, and structured project delivery alongside technical and data management. Thank you, Alex, for breaking down this study for us.
Expert: It was a pleasure, Anna.
Host: And thank you to our listeners. Join us next time on "A.I.S. Insights" as we continue to bring the latest information systems research to your business practice.
Expert: And I'm Alex Ian Sutherland.
Host: Today we are discussing a study titled "TIME TO TURN OFF THE LIGHTS: A SUCCESS FACTOR FRAMEWORK FOR ADVANCING HYPERAUTOMATION IN ORGANIZATIONS". This study develops a structured framework designed to help businesses transition from isolated, short-term automation tasks to fully coordinated, end-to-end hyperautomation.
Expert: That's right, Anna. The study is grounded in affordance theory, which looks at the action potentials that technology offers to an organization. By using a mixed-methods approach, the researchers identified fifteen success factors across five organizational dimensions to help businesses manage this complex transition.
Host: Let's talk about the big problem this study addresses. Why do so many organizations struggle with scaling their automation efforts?
Expert: The core issue is that companies frequently implement rapid, short-term automation technologies to solve immediate, localized problems. However, they often fail to align these tools with long-term, systemic organizational change. This lack of alignment results in fragmented technology landscapes, legacy system incompatibilities, and high costs when trying to integrate different systems later on.
Host: So instead of a seamless, automated workflow, they end up with a patchwork of tools that don't talk to each other. How did the researchers construct a framework to solve this?
Expert: They adopted a design science research approach. First, they conducted seventeen semi-structured interviews with experts in automation, IT project management, and general management to gather practice-oriented insights. They analyzed this qualitative data using a structured coding methodology to identify the success factors. After grouping these factors, they validated them using a quantitative survey of one hundred and three stakeholders across management, IT, and change management.
Host: What did the survey reveal about these fifteen success factors?
Expert: The survey results statistically supported all fifteen factors in the framework. Across all items, the success factors achieved a high average agreement score of six point zero five out of seven, with ninety-three point two percent of the respondents selecting positive agreement.
Host: Were there specific factors that stood out with stronger support than others?
Expert: Yes. The factors 'Leadership Commitment' and 'Communication and Trust Building' received the highest levels of overall agreement. On the other hand, factors like 'Strategic Partner Collaboration' and 'Customer Integration' received statistically supported relevance but had comparatively lower overall agreement scores.
Host: It is important to be transparent about the context of these findings. What are the limitations of this study that practitioners should keep in mind?
Expert: The initial qualitative interviews were limited to a German business context, which might affect transferability to other regions. Additionally, the quantitative survey had a modest sample size of one hundred and three respondents, and it relied on subjective stakeholder assessments of relevance rather than objective financial or performance metrics.
Host: Let's focus on what technology and business professionals can actually do with this knowledge. How does this framework translate to practical business action?
Expert: Practitioners can use this framework as both a diagnostic and prioritization tool. Instead of viewing hyperautomation as purely a technological upgrade, managers should understand it as a coordinated, multidimensional effort. Before investing heavily in new software, leaders can assess their current capabilities across the five dimensions: organization and culture, people, project, technology and processes, and environment.
Host: That makes sense. It means you can't just fix the technology without preparing the people and the organizational structure.
Expert: Exactly. For example, under the "People" dimension, the study highlights that building trust and actively managing fears of job replacement are critical to sustaining acceptance. Under the "Project" dimension, the study suggests starting with iterative delivery and clear pilot projects that target high-benefit or unpopular tasks to demonstrate quick successes. This helps build momentum and organizational support.
Host: So, it's about executing these factors in parallel rather than in isolation to avoid the fragmentation trap.
Expert: Precisely. True value emerges from the synchronized realization of these interdependent factors across the entire organization.
Host: To summarize, hyperautomation is a comprehensive journey that requires strategic alignment, leadership commitment, active communication, and structured project delivery alongside technical and data management. Thank you, Alex, for breaking down this study for us.
Expert: It was a pleasure, Anna.
Host: And thank you to our listeners. Join us next time on "A.I.S. Insights" as we continue to bring the latest information systems research to your business practice.