Introversion is commonly assumed to be disadvantageous for salespeople. This research challenges that assumption, identifying when introversion may be advantageous. We propose that when salespeople have closer relationships with other sales team members, the association between introversion and salesperson performance becomes more positive. We argue that this is because introverts in strategic network positions receive higher-quality advice and are better at listening. We further suggest that this interaction effect is strengthened when information quantity is higher, which is the case in larger teams. Network analyses of more than 260 salespeople in a direct selling context and a brick-and-mortar store context support our central assertion that introversion can be advantageous, given certain conditions. Altogether, our work extends the literature by underscoring the importance of the interplay between introversion, social networks, and network characteristics to job-related outcomes. For sales and retailing practice, our study highlights unique advantages introverted salespeople have, which have meaningful implications for firms’ hiring and personnel development practices.
The rapid integration of artificial intelligence (AI) into negotiations has catalyzed a transformative change in the retail industry. This study analyzes consumer responses to AI negotiators—a scenario becoming more common as retailers employ sophisticated algorithms in negotiation practices. Through five studies spanning B2C, B2B, and C2C negotiations, the findings reveal that consumers tend to make fewer adjustments to their counteroffers when bargaining with algorithms, persuaded of algorithms’ decision-making precision and comprehensive market intelligence. Notably, this confidence in algorithmic accuracy has a disproportionate effect on individuals from lower socioeconomic backgrounds, which can be mitigated by casting doubt on AI's infallibility. These insights do not merely provide retailers with a tactical advantage in utilizing AI for negotiations but also highlight the necessity for a more profound and ethical interaction with technology. Understanding the dynamics of human‒algorithm interaction in negotiation contexts allows retailers and brands to navigate this new terrain with greater efficacy and mindfulness.

