6.3 IMPLICATIONS
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6.3.1 Theoretical Implications
This study entails several theoretical implications for understating consumer TCs in an online
setting. The literature reflects conflicting findings with regard to TCs which this study
attempts to resolve via the empirical results. A major issue pertains to the applicability of
TCs to consumer behaviour in online environments as the Internet represents a fundamentally
different environment for retailing compared with traditional retailing. This research adds
knowledge to three bodies of existing literature (TCT, consumer behaviour, and E-commerce)
by developing an integrative theoretical framework of consumer TCs of online shopping that
is grounded in strong theories and is successfully tested using a large-scale sample randomly
selected from Chinese online shoppers. By examining the antecedents of consumer TCs, the
direct consequences of TCs directed toward consumers’ online purchase and post-purchase
behaviour, the key mediators and the key moderators of the effects of consumer TCs on their
behavioural outcomes, as well as the product categories comparison, this study directly
addresses many questions that have remained largely unexplored by previous TCs and
consumer behaviour research. As a result, the study provides a deeper understanding of TC
mechanisms in online consumer behaviour.
Specifically, eight aspects of this study are noteworthy in terms of its theoretical
contributions. Firstly, this study takes a new perspective on the study of TC mechanisms in
consumer behaviour. It offers deeper theoretical and empirical insights into consumer
behaviour by explicating the role of TCs at the individual consumer level. Prior research
addressed the relations among TCs, organizational structures and behaviour, however, there
have been few empirical studies examining the relationships between TCs and individual
consumer behaviour. By showing that individual consumers have to bear some TCs (e.g.,
search cost, evaluation cost and monitoring cost) associated with each shopping activity, the
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study provides opportunities to extend the original TCT from firm level to individual level. It
goes beyond previous TCs research (Granovetter 2005, Barney and Hesterly 2006, Hennart
2006) and further reflects that consumers’ behaviour toward a transaction is driven by their
perception of TCs. By demonstrating the applicability of the TCT at the individual consumer
level, this study establishes external validity and contributes to the theory development of
both TCT and consumer behaviour.
Secondly, although much research has used TCT to explain the rise of global electronic
markets and the cost-savings afforded by network-based communication, few have conducted
empirical studies using TCT to explain consumer behaviour in B2C electronic commerce
context. The current study applies the TCT to the online market and tests their contractual
relationships empirically. Additionally, it develops a nine-component conceptualization
(consisting of access cost, search cost, evaluation cost, ordering cost, payment cost, delivery
cost, monitoring cost, post-sale cost and adaptation cost) of consumer TCs associated with
each step of the online transaction process and further groups them into three broad
categories, namely pre-TCs, contemporaneous TCs and post-TCs. It also sheds light on how
consumer TCs which are coupled with the unique characteristics that e-commerce carries
differ from those in a traditional marketplace. In this sense, one of the contributions of the
study is the development and empirical testing of a consumer choice model which is based on
the three-component conceptualization of consumer TCs to examine consumer behaviour in
online environments. It fills the gap in the existing body of TCT and online consumer
behaviour knowledge, and advances the literature by untangling the relationships between
consumer TCs and online consumers in a B2C e-commerce setting.
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Thirdly, given the unique characteristics of online transaction, this study extends the original
TCT by examining various antecedents that can determine consumers’ perception of TCs of
online shopping, especially extending Liang and Huang’s (1998) work. To identify a
comprehensive set of antecedents of consumer TCs associated with shopping at an online
store, this study examines a consumer’s entire online transaction experience including not
only a consumer’s online experience of purchasing products from a particular online vendor –
the focus of previous online B2C TC research (Liang and Huang 1998, Teo and Yu 2005,
Yen
et al.
2013) – but also his/ her offline experience and resources related to online
shopping as well as his/her attitudes towards the general online shopping channel. The
theoretical development and empirical results suggest that a consumer’s perception towards
the seven key aspects of his/her online transaction experience, including Internet access
availability, perceived Internet expertise, online buying frequency, product quality concern,
e-service quality, reputation of online store and perceived convenience, constitute the key
antecedents of consumer TCs. The finding enriches online marketing and consumer
behaviour research by empirically identifying antecedents of TCs from a more
comprehensive perspective, which include consumer-related characteristics, online store- and
product-related characteristics, and online channel-related characteristics. It also adds to the
TCT literature by incorporating additional beliefs relevant to the online shopping context and
investigating the effects of antecedents to beliefs on online TCs.
Furthermore, among the antecedents of importance, consumers weigh e-service quality most
heavily when evaluating TCs of online shopping. Online buying frequency and perceived
Internet expertise play the second and the third role, respectively. Consumers weigh Internet
access availability the least when judging whether the TCs are high or low. Taking an
expanded list of antecedent factors into account contributes to the theoretical and empirical
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advancement of the role of the key players’ (consumer, online vendor/store and online
channel) characteristics on consumers’ TC evaluation and their subsequent behaviour (Teo
and Yu 2005). The findings also provide deeper insights into online vendors’ TC-reduction
activities and further help them gain a more thorough understanding on how to alleviate
consumer perceived TCs associated with purchasing at their stores by looking into the seven
antecedent factors identified in this study.
Fourthly, although previous research argues that various factors from different aspects of a
transaction can affect consumer’s online behaviour, little effort has been devoted to the
investigation of the consumer’s online purchase behaviour from a TCT perspective. A few
studies have examined the effects of TCs on purchase intention or willingness to transact
(Liang and Huang 1998, Teo
et al.
2004, Teo and Yu 2005), nevertheless, the initial intention
or willingness does not necessarily lead to the occurrence of purchase behaviour (Chandon
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