Accountability Signals After Large Service Outages and Reputation Recovery Across Customer Investor and Employee Audiences

• Amitabh Sharma

  Department of Business Administration, Central University of Himachal Pradesh, Dharamshala Campus, Shahpur Road, Dharamshala 176215, Himachal Pradesh, India

  Author

• Rakesh Pradhan

  School of Commerce and Management Studies, Central University of Odisha, Sunabeda Campus, NAD Post Office, Koraput 763004, Odisha, India

  Author

• Manish Kulshrestha

  Department of Finance and Accounting, Dr. Harisingh Gour Vishwavidyalaya, University Road, Sagar 470003, Madhya Pradesh, India

  Author

Large service outages convert internal operating failures into public tests of corporate reliability. When airline systems fail, payment networks stall, cloud platforms go offline, hospitals lose scheduling access, or delivery platforms stop routing orders, stakeholders observe not only the disruption but also how the firm explains responsibility, remediation, and prevention. This paper examines how accountability signals after major outages affect reputation recovery and market reactions. The empirical sample contains 1,472 service-outage events among 268 publicly traded firms from 2014 to 2024. The dataset combines outage telemetry, customer complaints, app and web activity, call-center wait proxies, employee text, press releases, executive statements, equity returns, option-implied volatility, analyst reports, and customer churn proxies. An accountability signal is measured by whether the firm identifies the failure mechanism, accepts responsibility, specifies customer remedies, provides restoration milestones, and commits to verifiable prevention. The analysis applies matched event studies, synthetic outage counterfactuals, accelerated recovery models, double machine learning, and causal forests. The results show that outages generate an average three-day abnormal return of minus 0.76\%, but firms issuing high-specificity accountability signals experience 39.4\% faster customer sentiment recovery and 2.18\% lower implied-volatility persistence. Compensation-only responses reduce short-run complaint volume but do not restore reliability perceptions unless paired with technical explanation. Executive apologies are useful only when accompanied by operational milestones. The evidence indicates that accountability signals preserve reputation when they reduce uncertainty about recurrence, not when they merely express regret.

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