Table of Contents Table of Contents
Previous Page  28 / 414 Next Page
Information
Show Menu
Previous Page 28 / 414 Next Page
Page Background

服務主導邏輯之共同生產:前置因素與結果因素

28

Theoretically, S-D Logic, with its interaction orientation (Lusch, Vargo, and Wessels,

2008), provides the current study with a conceptual foundation. For instance, S-D Logic

defines service as the application of knowledge and skills for the benefits of another entity

rather than for the production of units of output (Vargo and Lusch, 2004). Indeed, knowledge

and skills are specialized and embedded in the service system and in specific assets.

Transaction cost analysis predicts that higher levels of specific assets drive both parties to

maintain the relationship for a longer term (Williamson, 1985). Similarly, co-production is

closely connected to how customers and service providers have adapted to each other

through asset specificity (Zhang, Joglekar, and Verma, 2012). Thus, higher asset specificity

is expected to enforce integration and motivate co-production. Meanwhile, S-D Logic

represents a shift in emphasis from output to mutually interactive processes (Vargo and

Lusch, 2004, 2008). The customers no longer stay outside of the value creation process in

receiving value but rather participates in the co-production through interactions with the

service providers. Thus, good quality of customer interaction enhances co-production.

Another important motivator for co-production is decision-making uncertainty. S-D Logic

clearly has commonalities in the transaction cost analysis in which customer participation in

co-production increases the ability to anticipate, respond, and solicit solutions to uncertain

conditions (Paulin and Ferguson, 2010). An inability to predict future contingencies drives

customers to achieve greater control through co-production. Thus, uncertainty motivates

customers and service providers to enter long-term co-productive relationships to learn from

each other. S-D Logic also emphasizes value co-creation for the benefits of the parties

involved (Vargo and Lusch, 2004, 2008). Customers and service providers contribute

resources with value co-creation to obtain the benefits. Co-production serves as a means of

creating relational benefits.

In light of the preceding discussion, to address these research gaps, the current study

contributes to the service industry literature by investigating the antecedents and

consequences of co-production within the context of S-D Logic and by using share of wallet

instead of repurchasing intention to determine customer loyalty. This study extends and

enriches the previous findings on S-D Logic. From a managerial perspective, more managers

have begun to focus on developing co-productive relationships with their customers. This

study provides highly practical insights into share of wallet, particularly on the design and

application of co-production initiatives. Managers have to retain profitable customers by

promoting customer loyalty. This goal can be achieved by encouraging customers to increase

the percentage of their business with one institution.