From perceived value to customer loyalty behavioral intentions: a social exchange theory perspective on value-based selling
Dong Liu et al.
Abstract
Purpose Within today’s highly competitive and complex industrial marketing environment, value-based selling (VBS) has become an increasingly core strategy for companies to maintain a competitive edge. Nevertheless, existing research primarily adopts the supplier’s perspective and lacks a systematic exploration of the causal relationships in the VBS mechanism when viewed from the customer’s perspective. This study aims to examine how customer perceived value influences repurchase intention and word-of-mouth recommendation intention through the mediating roles of trust and relationship satisfaction. Design/methodology/approach Grounded in perceived value theory and social exchange theory, this study designs and validates a customer decision-making model. A survey was conducted among procurement managers in the machinery manufacturing industry was conducted, and structural equation modeling was employed for empirical analysis. Findings Customer perceived value has a significant positive impact on trust and relationship satisfaction, which, as mediators, significantly influence repurchase intention and word-of-mouth recommendation intention. Furthermore, serial mediation effects from perceived value through trust and relationship satisfaction to behavioral intentions are evident, underscoring sequential relational processes. Trust and relationship satisfaction play a partial mediating role between perceived value and customer behavioral intentions. Originality/value This study enriches the theoretical foundation of VBS and reveals the key driving factors and the underlying mechanisms in customer decision-making, providing practical guidance for industrial firms to develop value-based marketing strategies.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.