Constructing Assessment Indicators Weight System of Digital Business Chinese Materials

Qiao-Yu Warren Cai

SAGE Open, 2021, vol. 11, issue 3, 21582440211047555

Abstract: Learning business Chinese through digital materials has become an inevitable tendency with the growth of the internet and impact of the COVID-19 pandemic. Despite the increasing research-based publications and practices relating to Chinese language textbooks, there is a dearth of assessment indicators weight systems constructed by alternative research tools and statistical methods to evaluate the quality of the growing digital business Chinese materials. To the best of our knowledge, no literature review has been published on using the analytic hierarchy process (AHP) method to construct the assessment indicators of digital business Chinese materials. Therefore, this study aims to fill this gap by reviewing the existing, but limited, literature and providing recommendations for developing a checklist—based on the assessment indicators weight system—to evaluate digital business Chinese materials. The preliminary PC2U (Production, Content, Use, and Usefulness) assessment indicators are constructed based on the current research on business Chinese, CLTML, and relevant assessment indicators. In addition, the analysis hierarchy process (AHP) is used to construct the weight system. The results show that it is crucial to prioritize the access of digital business Chinese content. Of the three criteria in the content dimension, learning needs and credibility are equally important, and both are more important than data update. The assessment indicators are not only beneficial to fill the knowledge gap on business Chinese research, but also helpful for publishers and teachers to compile and select high quality digital business Chinese materials.

Keywords: digital business Chinese material; non-native Chinese speaking businessmen/women (NNCSB); analysis hierarchy process (AHP); assessment indicators; weight system (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:11:y:2021:i:3:p:21582440211047555

DOI: 10.1177/21582440211047555

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