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Shahriar Akter

As seen in: Wiley Online Library, Elsevier, Journal of Business Research, Taylor & Francis Online, Technovation, International Journal of Productivity and Performance Management, European Journal of Marketing, WARC, International Journal of Contemporary Hospitality Management, International Journal of Operations and Production Management and
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Articles

Back to basics: How HE must address the AI shock

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By Shahriar Akter, David Grant
| futurecampus.com.au
As AI automates core skills and employers shift toward hiring based on other capabilities, universities face growing pressure to reinvent themselves or risk falling behind. Responding to the significant challenges posed by AI will involve higher education going back to basics. Essentially, this means returning to its core mission: one where it cultivates attributes and skills such as critical thinking and ethical reasoning, and context-specific research-driven learning.
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Digital Transformation Empowerment Capabilities in Public Service Systems

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By Mohammad Hossain, Shahriar Akter, Yogesh K Dwivedi, Christian Maier
| Taylor & Francis Online
ABSTRACT Public service systems use empowerment capabilities to implement digital transformation (DT). DT empowerment capabilities help to tackle disruptions, navigate uncertain situations, and adapt service systems. We draw on multiple theoretical arguments and the extant literature on empowerment and DT to develop a DT empowerment capability (DTEC) model in public service systems.
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Addressing Algorithmic Bias in AI‐Driven HRM Systems: Implications for Strategic HRM Effectiveness

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By Ruwan J. Bandara, Kumar Biswas, Shahriar Akter, Sujana Shafique
| Wiley Online Library Verified
What is currently known? AI and machine learning algorithms have been increasingly streamlining HR functions like hiring, performance management, and termination. Algorithmic biases often fail to deliver fair and inclusive HR decisions. Addressing algorithmic biases is crucial for achieving strategic HR outcomes. What does this paper add?
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