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Building a Three-Level User Experience (UX) Measurement Framework for Mobile Banking Applications in a Chinese Context: An Analytic Hierarchy Process (AHP) Analysis. MULTIMODAL TECHNOLOGIES AND INTERACTION 2022. [DOI: 10.3390/mti6090083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
User experience (UX) has drawn the attention of the banking industry in the past few decades. Although banking systems have a complete service process to ensure financial safety for customers, the mobile banking UX has much potential to be improved. Most research in this field of study relies on existing criteria to describe a user’s experience. However, these criteria are focused more on usability measurement, which neglects to identify the requirements of end-users. Users are asked to give feedback on the provided application, limiting the scope of the user study. Therefore, this study uses mixed methods research and in-depth semi-structured interviews to collect end-user UX requirements to build a UX measurement framework of five main services transfers, including financial management, loans, account openings, and credit cards. This study uses an online survey to validate and revise the framework by applying analytic hierarchy process (AHP) analysis to quantify criteria. We interviewed 17 customers and collected 857 online validation surveys, and 400 customers attended the AHP analysis. As a result, this study proposes a three-level measurement framework for mobile banking applications in a Chinese context. The first-level criteria are scenario requirements (24.03%), data requirements (20.98%), and function requirements (54.99%). We hope that the framework will guide designers and researchers to design better user-friendly user interfaces and improve customer satisfaction rates in the future.
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The Effect of Marketing Activities on Web Search Volume: An Empirical Analysis of Chinese Film Industry Data. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12042143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Prior research on consumers’ web searches primarily examined the effect of web searches on product sales or the characteristics of the web searchers. Differing from prior research, we investigate the effect of marketing activities on web search volume. We selected 314 movies released in China whose box office revenues were greater than RMB 10,000. Then, we collected data points on web search volume and marketing activities from the Baidu, Sina Weibo, and Douban platforms from the 3 weeks prior to the release of each movie. Marketing activity data points were derived from three sources: news media, social network marketing, and film stars. Our data analysis of 6594 observations revealed two major findings. First, news media, social network marketing, and the effect of film stars increased the web search volumes of the films. In particular, social network marketing had the strongest impact on the web search volume. Second, the previous-day web search volume increased the present-day web search volume without marketing activities, suggesting a spillover effect. We discuss the academic contributions and managerial implications of our findings in the context of online marketing and new product launches.
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