Too Much Workplace Collaboration May Hinder Employee Innovation, AI Could Help Preserve Independence, Finds IIM Indore Study

While collaboration in the workplace promotes knowledge exchange and problem-solving, an overreliance on social interaction can sometimes stifle employees' sense of independence and their inclination to innovate, according to a study conducted by the Indian Institute of Management Indore (IIM Indore). The research, titled "Does Social Interaction Foster or Hinder Innovation?

The Role of AI-Based Knowledge Management Systems," suggests that artificial intelligence (AI) based knowledge management systems may aid employees in maintaining autonomy within environments characterized by high levels of social interaction. Co-authored by Prof Jatin Pandey from the Organisational Behaviour and Human Resource Management (OB & HRM) department and Prof Rayees Ahmad Sheikh from the Economics department, the study was published in the Journal of Innovation and Knowledge.

Knowledge management systems (KMS) assist organizations in storing, retrieving, and sharing information and expertise. Unlike conventional systems, which primarily aim to facilitate employees' search and comprehension of data, AI-based systems can analyze data, recognize patterns, and deliver pertinent insights, thereby empowering employees to access knowledge more independently.

The researchers posit that while social interaction aids in knowledge sharing and idea generation, constant consultations, coordination demands, and pressure to reach consensus can limit independent thinking and decision-making. In this regard, AI may play a crucial role in preserving employee autonomy.

To explore these dynamics, the researchers conducted a scenario-based experiment involving 282 participants from the UK and the US, who were employed in creative fields like copywriting, marketing, and communications. Participants imagined developing an innovative marketing strategy and were given scenarios comprising traditional or AI-based knowledge systems paired with low or high social interaction.

Remote work scenarios represented low interaction, while office-based collaboration symbolized high interaction. The findings indicated that high social interaction diminished perceived autonomy, particularly in traditional knowledge management systems. This erosion of independence also resulted in a decreased reported willingness to innovate.

Under AI-based systems, the negative relationship between social interaction and innovation through reduced autonomy was weaker and statistically insignificant, implying that AI-supported knowledge access may help employees retain independence while collaborating, although the influence of AI was not statistically significant.

However, the study also underscores that AI does not universally enhance autonomy across all workplace settings, and its potential to diminish the impact of high social interaction is marginal. The implications for managers highlight the necessity to strike a balance between collaboration and independent decision-making. AI-based systems can alleviate employees' reliance on colleagues for information, enabling them to explore alternative solutions and develop original ideas.

Organizational culture, job complexity, and employees' trust in AI could also influence these benefits. It is important to note that the study measured responses to hypothetical situations rather than actual innovation outcomes, necessitating further research across various workplaces and occupations. Ultimately, the research emphasizes that effective collaboration requires providing employees with the freedom to think and act independently.