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臺大管理論叢

27

卷第

1

43

customers. This method is appropriate for small banks to secure customer loyalty and

enhance customers’ share of wallet.

Indeed, customer relationships have evolved during a series of service encounters as

well as over time. Numerous studies have considered the time-dependent effect of relational

variables. Gwinner et al. (1998) suggest that a long-term relationship leads to relational

benefits for customers. Verhoef, Franses, and Hoekstra (2002) report that relationship length

moderates the relationship between relationship quality and the number of service purchases.

Thus, this study investigates the moderating effect of relationship length on the effects that

special treatment, social, and confidence benefits have on share of wallet. The total sample

was divided into two groups based on relationship length. The sample size for long

relationship length was n = 218, and for short relationship length, the sample size was n =

188. Results showed that the effect of special treatment benefits on share of wallet was

stronger for long relationship length (

β

= 0.078,

p

< 0.05) than short relationship length (

β

=

0.056,

p

< 0.05). As relationship length increases, more customer information and knowledge

are accumulated and more customization and personalization are implemented. Thus, the

positive effect of special treatment benefits on share of wallet is enhanced by relationship

length. Furthermore, the effect of social benefits on share of wallet was stronger for long

relationship length (

β

= 0.041,

p

< 0.05) than short relationship length (

β

= 0.020,

p

> 0.05)

because friendships can develop in the long run. Thus, relationship length increases the effect

of social benefits on share of wallet. Finally, the effect of confidence benefits on share of

wallet was stronger for long relationship length (

β

= 0.069,

p

< 0.05) than short relationship

length (

β

= 0.036,

p

< 0.05). The underlying rationale is that in the long relationships,

customers will have higher confidence in their evaluations of the investment products of

their banks. Increasing confidence enhances share of wallet.

5. Discussion

The conceptualization of marketing indicates a shift from the exchange of tangible

goods and toward an exchange of the knowledge, skills, and processes required by a service-

dominant economy (Vargo and Lusch, 2004). Given that co-production is more complex than

what has been expected, this study proposes an integrated, S-D Logic-based model for

achieving an improved understanding of the motivations of customers in co-production. In

addition, this study illustrated the effects of co-production on relational benefits and

examined the effects of these benefits on share of wallet. The findings support the three main