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This paper aims to advance an integrative perspective of dynamic relationality in negotiation research by providing a symbiotic solution to modeling the cultural adaptation process in intercultural negotiations.

Based on a solution-oriented symbiotic approach, the authors analyze negotiators’ combination strategy to propose the dynamic convergence of dyadic relational negotiation behavior (RNB) both as a descriptive framework and a prescriptive solution to behavioral congruence in intercultural negotiations. The authors use spreadsheet platform with artificial data input to simulate various RNB dynamics between negotiators.

The authors identify the research gap between the arelational, static paradigm in negotiation literature and the relational, dynamic reality in negotiation practices, develop a fourfold typology of the existing negotiation research and propose the construct of RNB. The authors simulate the dyadic dynamics of RNB in a symbiotic framework. Results illustrate varied dyadic patterns of convergent RNB dynamics, demonstrating the effectiveness of the symbiotic solution to achieving behavioral congruence under multiple conditions. Propositions are then presented to predict negotiators’ initial relational behavior, describe dyadic coevolution of RNB in intercultural negotiations and explicate the relevant chronic consequences regarding relational and economic capital.

This paper fills a significant knowledge gap in the extant cross-cultural negotiation literature by addressing dynamic behavioral adaptation through a relational lens. This symbiotic framework is both descriptive in its predictive capacity to simulate the complexity of non-linear negotiation environment, and prescriptive in its directive capacity to guide negotiators’ plan of action given each other’s observed behavior with a probability estimation.

Turnover in high-tech companies has long been a concern for managers and executives. Recent meta-analyses from the general turnover literature consistently show that job satisfaction is a major attitudinal antecedent to turnover intention and turnover behavior. Additionally, the available research on information technology (IT) employees focuses primarily on turnover intentions and not on a risky decision-making perspective and actual turnover (turnover behavior). The paper aim is to focus on that.

This study uses hierarchical ordinary least squares, process (Preacher and Hayes, 2004) and logistic regression.

The main predictor of actual turnover is risky decision-making, whereas job satisfaction is the main predictor of turnover intention.

The joint effects of risk and job satisfaction on turnover intention and behavior have not been studied in the IT domain. Hence, this study extends our understanding of turnover in general and particularly among IT employees by studying the combined effect of risk and job satisfaction on turnover intentions and turnover behavior. The study’s theoretical and practical implications are likewise discussed.