TY  - JA
AU  - Dedy Sushandoyo
AU  - Naufal Al-Labib Tisyadi
AU  - Maulana Rafi Damar
AU  - Eko Agus Prasetio
AU  - Muhammad Yorga Permana
AU  - Yoshiyuki Matsuura
TI  - Overcoming knowledge asymmetry through knowledge transfer in technology adoption process
SN  - 1477-8238
PY  - 2025///
CY  - United Kingdom
PB  - Taylor and Francis Ltd.
KW  - Knowledge
KW  - AGROVOC
KW  - Technology adoption
KW  - Data Collection
N1  - Peer review
N2  - Internet of things (IoT)-based start-ups encounter critical moments during the first years of their inception. They struggle to convince markets to adopt their products due to knowledge asymmetry. This research aims to understand how knowledge transfer can overcome knowledge asymmetry between a technology provider and its potential customers in the technology adoption process. This research used eFishery, which is one of the world’s largest IoT-based startups in the aquaculture industry, as a case study. Data collection is conducted by interviewing respondents from both parties. The findings show that knowledge transfer can reduce knowledge asymmetry, allowing both parties achieving mutual learning, thereby increasing their absorptive capacities. Both formal and informal mechanisms occur, the implementation of which depends on the absorptive capacities of the customers. This study demonstrates that customers can provide useful insight that improves the provider’s products, regardless of the levels of the customers’ absorptive capacities
DO  - https://doi.org/10.1080/14778238.2024.2379923
T2  - Knowledge Management Research and Practice
ER  -