Customer-perceived value in business-to-business relationships: A study of software customers

Abstract

Despite the importance of relationships in business-to-business (B2B) contexts, there is limited research as to what customers expect and value from relationships in industrial contexts. This study, therefore, seeks to understand customer-perceived value better by investigating actual and prospective customers in the software industry. A two-level analysis of customer perspectives on relationship attributes was conducted. First, semi-structured interviews were conducted with customers of a micro software firm. Insights from these interviews were then used to inform the second stage of the study, an online survey using Adaptive Conjoint Analysis, to identify the relative significance of these attributes. A total of 256 industrial buyers completed the survey. A new Customer Relationship Attributes Model (CRAM) is presented which encapsulates major attributes that current and prospective customers consider when entering into a relationship with their software supplier. The CRAM identifies five product-related attributes (price, functionality, bilingual capability, location, and software quality), and seven service-related attributes (communication, understanding of the customer, trust, relationship, service, professionalism, and employee expertise).

Keywords:

• SMEs
• software technology
• business-to-business
• customer-perceived value
• Adaptive Conjoint Analysis

Acknowledgements

The authors would like to thank Professor Edward Shiu for valuable comments on an earlier draft of this manuscript.