Md Ashaduzzaman, Charles Jebarajakirthy, Scott K. Weaven, Haroon Iqbal Maseeh, Manish Das and Robin Pentecost
Collaborative consumption (CC), a unique business model, provides several monetary and non-monetary benefits to customers. Several adapted theory of planned behaviour (TPB)-based…
Abstract
Purpose
Collaborative consumption (CC), a unique business model, provides several monetary and non-monetary benefits to customers. Several adapted theory of planned behaviour (TPB)-based models were developed and tested to understand this consumption behaviour with the findings inconsistent and fragmented. Thus, this study aims to develop a general and consistent TPB model using a meta-analytic path analysis to better understand customers’ CC adoption behaviour.
Design/methodology/approach
Using 37 studies, a meta-analysis was performed adopting several analytical methods; bivariate analysis, moderation analysis and path analysis.
Findings
The universal TPB model shows that factors, that is, trust, attitude, perceived environmental responsibility and communication facilities, drive both perceived usefulness and CC. However, subjective norms, such as perceived behavioural control and emotional value, drive only perceived usefulness. Moderation analysis shows that the relationships between variables used in the proposed TPB model tends to vary depending on five moderators, that is, countries’ economic development level, type of CC, sample size, sample type and survey administration method.
Research limitations/implications
The consideration of only quantitative papers and papers written in English language in this meta-analysis may bias the study’s findings.
Practical implications
Based on the findings regarding important factors that consumers consider when adopting CC, this study provides insightful recommendations to companies facilitating CC.
Originality/value
By developing the universal TPB model, this study theoretically contributes to the TPB model, and by conducting the moderation test, the study contextually contributes to the TPB literature in the CC context.
Details
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Lujie Chen, Mengqi Jiang, Taiyu Li, Fu Jia and Ming K. Lim
This paper aims to provide a comprehensive understanding of the supply chain learning (SCL)–performance relationship based on the existing empirical evidence.
Abstract
Purpose
This paper aims to provide a comprehensive understanding of the supply chain learning (SCL)–performance relationship based on the existing empirical evidence.
Design/methodology/approach
We sampled 54 empirical studies on the SCL–performance relationship. We proposed a conceptual research framework and adopted a meta-analytical approach to analyse the SCL–performance relationship.
Findings
The results of the meta-analysis confirm the positive effects of SCL on the performance of both firms and supply chains. In addition, building on the knowledge-based view, we found that learning from customers has a stronger positive effect on performance than does learning from suppliers, while joint learning has a stronger positive effect on performance than does absorptive learning. Business knowledge had a greater effect on performance than did general knowledge, process knowledge or technical knowledge, while explicit knowledge had a stronger effect than tacit knowledge. Moreover, the SCL–performance relationship is moderated by performance measure and industry type but not by regional economic development, highlighting the broad applicability of SCL.
Originality/value
This study is the first meta-analysis on the SCL–performance relationship. It differentiates between learning from customers and learning from suppliers, examines a more comprehensive list of performance measures and tests five moderators to the main effect, significantly contributing to the SCL literature.