Yijin Chen, Yue Qiu, Hanming Lin and Yiming Zhao
This study aims to explore the influence of topic familiarity on the four stages of college students' learning search process.
Abstract
Purpose
This study aims to explore the influence of topic familiarity on the four stages of college students' learning search process.
Design/methodology/approach
This study clarified the effects of topic familiarity on students' learning search process by conducting a simulation experiment based on query formulation, information item selection, information sources and learning output.
Findings
The results characterized users' interaction behaviors in increasing topic familiarity through their use of more task descriptions as queries, increased reformulation of queries, construction of more purposeful query formulation, reduced attention to a topic's basic concept content and increased exploration of academic platform contents.
Originality/value
This study proposed three innovative indicators which were proposed to evaluate the effects of topic familiarity on college students' learning search process, and the adopted metrics were useful for observing differences in college students' learning output as their topic familiarity increased. It contributes to the understanding of a user's search process and learning output to support the optimization function of learning-related information search systems and improve their effect on the user's search process for learning.
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Jinxiang Zeng, Shujin Cao, Yijin Chen, Pei Pan and Yafang Cai
This study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the…
Abstract
Purpose
This study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.
Design/methodology/approach
Eight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.
Findings
The empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.
Originality/value
The extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.
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Yijin Chen, Yiming Zhao and Ziyun Wang
This study considers online searching by health information consumers as a learning process. We focus on search sequences, query reformulation, and conceptual changes.
Abstract
Purpose
This study considers online searching by health information consumers as a learning process. We focus on search sequences, query reformulation, and conceptual changes.
Design/methodology/approach
A qualitative user study (30 participants; three health information seeking tasks) investigated mobile searching behavior. Recorded screen activity, questionnaires, and in-depth personal interview data were collected and analyzed.
Findings
(1) Search platform sequences of health information consumers in search as a learning process were exacted and their features were highlighted. (2) Query sequence and reformulation pattern of health information consumers were exacted and discussed. (3) The types and degree of conceptual changes of health consumers were reflected by their query reformulation behavior and differ from different health information search tasks. (4) Characteristics of health consumers' search as learning process were revealed.
Research limitations/implications
(1) A novel perspective of consumer health information studies was proposed by exacting search platform sequence, query sequence and linking them with conceptual changes during the search as learning process. (2) Conceptual changes in the searching as a learning process are regarded as a measure of search outcome in this study, in which terms extracted from queries were used to reflect conceptual changes in consumers' mind. (3) Our findings provide evidences that types of health information seeking tasks do have significant influences on the search as a learning process.
Practical Implications
The findings of this study can lead to the fit-to-needs of the search platforms, provide advice for information architecture of search list of search platforms, and guide the design of knowledge graph of health information systems.
Originality/value
Potential relationships between information-seeking behavior and conceptual changes in search as a learning process relative to health information were revealed.
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With the upgrade of natural language interaction technology, the simulation extension of intelligent voice assistants (IVAs) and the uncertainty of products and services have…
Abstract
Purpose
With the upgrade of natural language interaction technology, the simulation extension of intelligent voice assistants (IVAs) and the uncertainty of products and services have received more and more attention. However, most of the existing research focuses on investigating the application of theories to explain consumer behavior related to intention to use and adopt IVAs, while ignoring the impact of its privacy issues on consumer resistance. This article especially examines the negative impact of artificial intelligence-based IVAs’ privacy concerns on consumer resistance, and studies the mediating effect of perceived creepiness in the context of privacy cynicism and privacy paradox and the moderating effect of anthropomorphized roles of IVAs and perceived corporate social responsibility (CSR) of IVAs’ companies. The demographic variables are also included.
Design/methodology/approach
Based on the theory of human–computer interaction (HCI), this study addresses the consumer privacy concerns of IVAs, builds a model of the influence mechanism on consumer resistance, and then verifies the mediating effect of perceived creepiness and the moderating effect of anthropomorphized roles of IVAs and perceived CSR of IVAs companies. This research explores underlying mechanism with three experiments.
Findings
It turns out that consumers’ privacy concerns are related to their resistance to IVAs through perceived creepiness. The servant (vs. partner) anthropomorphized role of IVAs is likely to induce more privacy concerns and in turn higher resistance. At the same time, when the company’s CSR is perceived high, the impact of the concerns of IVAs’ privacy issues on consumer resistance will be weakened, and the intermediary mechanism of perceiving creepiness in HCI and anthropomorphism of new technology are further explained and verified. The differences between different age and gender are also revealed in the study.
Originality/value
The research conclusions have strategic reference significance for enterprises to build the design framework of IVAs and formulate the response strategy of IVAs’ privacy concerns. And it offers implications for researchers and closes the research gap of IVAs from the perspective of innovation resistance.
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The purpose of this paper is to explore how translation activities influence knowledge transfer across cultures in Chinese multinational enterprises (MNEs). Although translation…
Abstract
Purpose
The purpose of this paper is to explore how translation activities influence knowledge transfer across cultures in Chinese multinational enterprises (MNEs). Although translation is recognized as a critical instrument for MNEs to enhance cross-national knowledge flow, scholars have not put much emphasis on the importance of translation in international business research.
Design/methodology/approach
This paper proposes a novel hierarchical framework to delineate the five major boundary-spanning functions regarding translation for knowledge transfer in China (i.e. exchanging, linking, manipulating, facilitating and intervening). Due to the paucity of relevant literature, the authors used exploratory case studies investigating two large Chinese MNEs to illustrate how individuals as boundary spanners handle the translation requirements associated with cross-cultural knowledge transmission within a MNE’s business network. The data coding approach was used to examine the assumed model.
Findings
The findings demonstrate that translators indeed play a vital role in cross-border knowledge exchanging, linking people with crucial knowledge, manipulating the flow of knowledge for protecting confidentiality, facilitating the cross-cultural interaction of various knowledge sources and intervening to prevent the occurrence of misunderstanding in MNE contexts. The authors also reveal how translators overcome the three constraints of language interpretation concerning knowledge transfer (i.e. lack of equivalence, cultural interference and ambiguity). The proposed research framework was fully supported.
Research limitations/implications
The results provide insightful implications for MNEs to treat translation as a significant “re-codification” rather than a mundane task. Knowledge transfer within MNEs involves not only knowledge regarding products, technology and operations but also involves “whole organizations” including business models, organizational visions, missions and strategies.
Originality/value
The main value of this paper is to propose a novel model regarding the role of translation in cross-cultural knowledge transfer in China. Language is a container of contexts; the translation procedure in MNEs is actually dynamic and contingent in nature and can be seen as an act of knowledge creation per se.