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1 More Paper (Brief), 238 episodes. Page 3 of 3.

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Title
201

The impact of generative AI on marketing innovation and business growth challenges and opportunities in the digital economy — Wishah et al. (2026)

202

Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative Newswork — Xiao et al. (2026)

203

Enhancing supply chain visibility with generative AI: an exploratory case study on relationship prediction in knowledge graphs — Zheng & Brintrup (2025)

204

Recommendations for efficient and responsible LLM adoption within industrial software development — Ronanki et al. (2026)

205

Responsible Engineering of Information Systems Based on Generative Artificial Intelligence: An Action Design Research Study at a German Premium Car Manufacturer — Fetzer et al. (2025)

206

Governing generative AI in organizations: a design theory and quasi-experimental field study of sociotechnical guardrails — Leon (2026)

207

Episodic oversight in generative AI workflows: A nine-step protocol for preserving human agency (OP-9) — Taş et al. (2026)

208

Using LLM-generated draft replies to support human experts in responding to stakeholder inquiries in maritime industry: a real-world case study of Industrial AI — Bach et al. (2026)

209

Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild — der Maden et al. (2026)

210

Design principles for text-to-image generative artificial intelligence creativity support tools for visual design — Herath et al. (2026)

211

A Framework for Evaluating GenAI Adoption and Use in Software Engineering — Yu et al. (2026)

212

Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification — Mitchell & Shaaban (2025)

213

India’s Triple AI Imperative: Succeeding with AI in India — BCG X and FICCI (2025)

214

Now decides next: Generating a new future — Deloitte AI Institute (2025)

215

State of AI in the Enterprise: The untapped edge — Deloitte AI Institute (2026)

216

Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering — Lu et al. (2024)

217

Generative AI at Work — Brynjolfsson et al. (2025)

218

The economic potential of generative AI: The next productivity frontier — McKinsey & Company (2023)

219

Driving Sustainable Cost Advantage with AI — Boston Consulting Group (2025)

220

Actionable Auditing — Raji & Buolamwini (2019)

221

An Adaptive Responsible AI Governance Framework for Decentralized Organizations — Meimandi et al. (2025)

222

Artificial Intelligence Risk Management Framework (AI RMF 1.0) — Tabassi (2023)

223

From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices — Morley et al. (2020)

224

Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation — Díaz-Rodríguez et al. (2023)

225

The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise — Dell'Acqua et al. (2025)

226

Novice risk work: How juniors coaching seniors on emerging technologies such as generative AI can lead to learning failures — Kellogg et al. (2025)

227

The Values of Value in AI Adoption: Rethinking Efficiency in UX Designers' Workplaces — Cha et al. (2026)

228

Guardrails versus Gatekeepers: Understanding Product Managers' Ethical Decision-Making in Generative AI — Smith et al. (2026)

229

Trustworthy-by-Design Generative AI Assistants for Industrial Troubleshooting: A Knowledge Graph Grounded Architecture — Jadhav et al. (2026)

230

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality — Dell’Acqua et al. (2026)

231

Generative AI Adoption in B2B Firms: Ethical Governance, Innovation Capabilities, and Long-Term Competitive Performance — Alves et al. (2026)

232

Enacting Responsible AI: A Configurational Analysis of AI Principles in Practice — Akbarighatar et al. (2026)

233

Still just personal assistants? – A multiple case study of generative AI adoption in software organizations — Kemell et al. (2025)

234

Piloting a maturity model for responsible artificial intelligence: A portuguese case study — Ferreira et al. (2025)

235

AI governance: a systematic literature review — Batool et al. (2025)

236

Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors — Jöhnk et al. (2021)

237

When humans stop thinking: tackling the silent threat of AI complacency in service operations — Le & Kunz (2026)

238

The unequal adoption of ChatGPT exacerbates existing inequalities among workers — Humlum & Vestergaard (2025)

239

Beyond the hype: Organisational adoption of Generative AI through the lens of the TOE framework–A mixed methods perspective — Hughes et al. (2026)