Lin Zhang 0044

dblp:37/1629-44 · DBLP profile ↗
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4ranked-venue papers in the field
0as first author
4since 2021 · last 2025
0000-0003-3985-1374ORCID · verified

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 4
YearPublicationVenuePosition
2025 Uncovering post-adoption usage of AI-based voice assistants: a technology affordance lens using a mixed-methods approach
abstract
Despite the growing proliferation of AI-based voice assistants in our daily lives, how different functions of AI-based voice assistants affect users’ post-adoption usage behaviours remains an under-investigated research question. This study explores the nature and causation of post-adoption usage behaviours (effective utilisation after initial adoption or diffusion) within the context of AI-based voice assistants. Using a sequential mixed-methods research design, we first identify the post-adoption usage behaviours of AI-based voice assistants as a multidimensional concept comprised of routine use and extended use, then develop a contextualised model by revealing technology-specific antecedents, cognitive beliefs, and boundary conditions. By integrating results from the quantitative study and qualitative study, we find that three technology affordances (i.e., anthropomorphism affordance, interactivity affordance, and personalisation affordance) are salient antecedents of two cognitive beliefs, which further affect users’ routine use and extended use of AI-based voice assistants. Additionally, we uncover use frequency as a boundary condition and obtain a complementary view of post-adoption usage of AI-based voice assistants. The empirical research findings can extend the post-adoption IS usage literature and provide practical implications for crafting user-centred functionalities to facilitate effective human-AI interactions.
Lin Zhang 0044, Jose Benitez-Amado
Eur. J. Inf. Syst.3
2025 Not all innovations are the same: Exploring employees' ambidextrous innovation behavior in enterprise collaboration platforms
Jose Benitez-Amado, Lin Zhang 0044
Inf. Manag.4
2024 Exploring the influence of gamification-enabled customer experience on continuance intention towards digital platforms for e-government: An empirical investigation
abstract
Governments realize a significant gap exists between existing efforts in customer experience and citizen expectations for implementing a digital platform in e-government (DPEG), hindering citizens’ continuance intention. This study proposes a novel initiative called gamification-enabled customer experience. Based on the motivational lens, we develop and test a conceptual research model. We find that gamification-enabled customer experience positively impacts intrinsic and extrinsic motivations and continuance intention towards DPEG. Our results enrich IS research on digital platforms, customer experience, types of motivation, and behavior. We also offer practical guidelines for implementing a DPEG to execute gamified customer experience strategies.
Jose Benitez-Amado, Lin Zhang 0044, Jianing Mi
Inf. Manag.3
2023 Uncovering the dual influence processes for click-through intention in the mobile social platform: An elaboration likelihood model perspective
Lin Zhang 0044, Zhengyuan Pan, Jose Benitez-Amado
Inf. Manag.2