This study presents a comprehensive analysis comparing the literacy levels of two Generative Artificial Intelligence (GAI) tools, ChatGPT and Bard, using a dataset of 134 questions from the Human Resources (HR) domain. The generated responses are evaluated for accuracy, relevance, and clarity. We find that ChatGPT outperforms Bard in overall accuracy (84.3% vs. 82.8%). This difference in performance suggests that ChatGPT could serve as a robotic advisor in transactional HR roles. In contrast, Bard may possess additional safeguards against misuse in the HR function, making it less capable of generating responses to certain types of questions. Statistical tests reveal that although the two systems differ in their mean accuracy, relevance, and clarity of the responses, the observed differences are not always statistically significant, implying that both tools may be more complementary than competitive. The Pearson correlation coefficients further support this by showing weak to non-existent relationships in performance metrics between the two tools. Confirmation queries don't improve ChatGPT or Bard's response accuracy. The study thus contributes to emerging research on the utility of GAI tools in Human Resources Management and suggests that involving certified HR professionals in the design phase could enhance underlying language model performance.

There is growing research into worker resistance in organizations that focuses on routine or mundane forms of resistance, and this study attempts to advance this field by examining the formation an...

Digital technologies are changing the nature of work. Through a case, this study demonstrates the adoption of new forms of work in an organization. The HR department of the information technology firm XYZ often finds it a challenge to place resources with the right technical skill set in their projects within the timeframe specified by the clients. The fact that most skilled workers would retire in the next 10 years posed a different issue. The production of error free monthly reports of resource allocations was another challenge. Drawing from ecology theory, this study expands existing theories of strategic decision making in the context of innovation adoption. The study contends that the innovation of platform sourcing by creating a sustained competitive advantage can solve the challenges. The study adopts the lens of work design to understand the effect of technology on individual outcomes and support the implementation of the innovation.