Extending UTAUT2 in Mobile money adoption and actual use behavior: An empirical research in Vietnam during the Covid-19

The goal of this article is to examine the antecedents of behavioral intention toward mobile money, as well as the mediating role of trust on behavioral intention and financial inclusion in Vietnam during the COVID-19 period, using an expanded unified theory of technology acceptance and use (UTAUT2). The data were collected by an online self-administered questionnaire and analyzed using SmartPLS 3.3.3. To determine the exogenous constructs’ relevance and performance, a matrix analysis of importanceperformancewas used. The findings indicate that behavioral desire to use mobile money is primarily driven by awareness, structural assurance, habit, and performance expectation. The behavioral intention of mobile money will substantially influence its adoption, and trust will not act as a mediator between behavioral intention and financial inclusion. The extended UTAUT2 was used for the first time to analyze mobile money in Vietnam. Additionally, the new research provides a more comprehensive explanation for users’ financial inclusion than past research provided.

Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering

With the development of computer technology and the arrival of the era of artificial intelligence, the analysis of user demand bias is of great significance to the operation optimization of e-commerce platforms. Combined with CS domain signaling data, IP packet data of PS domain, and customer CRM data provided by operators, this research studies each dimension index of operator user portrait, after that the operator user portrait platform is divided into some individual subunits, and then the corresponding data mining technology is carried out to study the implementation scheme of each subunit. The system can process and mine multidimensional data of operators’ users and form user portraits on the basis of user data aggregation. Finally, based on the operator user portrait platform studied in this paper, the operator user data are analyzed from both the user’s mobile phone use behavior and user consumption behavior. Furthermore, the application value of this research in the precision marketing and personalized service of operators is illustrated.

Exploring online consumer reviews of wearable technology: The Owlet Smart Sock

Purpose The purpose of this research is to analyze consumers’ post-purchase reviews of the Owlet Smart Sock (OSS) and investigate the factors influencing continued use and product recommendation. Design/methodology/approach The unified theory of acceptance and use of technology 2 and the privacy calculus model were used to focus both on technology and privacy aspects of OSS – a wearable technology product for baby monitoring. A sample of 450 online consumer review data was collected from Owletcare.com and Amazon.com. The data analysis was done by using NVivo 11. Findings Findings show that effort expectancy, price value and performance expectancy played the most striking role during adoption, continued future use and recommendation to others, whereas perceived privacy risk had the least importance. Research limitations/implications Consumer empowerment through online reviews plays a crucial role in conveying their specific needs and desires to both manufacturers and other prospective consumers. The research is also expected to contribute research and development of technology-integrated products. Practical implications The research findings will provide valuable insights for manufacturers and retailers to understand consumers’ actual preferences and acceptance during the use of wearable technology. Originality/value This study extends research work on consumer use behavior by evaluating online reviews that provide them the opportunity to express their satisfaction and concerns. Insights from experience consumers’ reviews facilitate designers, developers and manufacturers to have a strategic focus during wearable technology development.

Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing

Background: Perceptions of tobacco, cannabis, and electronic nicotine delivery systems (ENDS) are continually evolving in the United States. Exploring these characteristics through user generated text sources may provide novel insights into product use behavior that are challenging to identify using survey-based methods. The objective of this study was to compare the topics frequently discussed among Reddit members in cannabis, tobacco, and ENDS-specific subreddits.Methods: We collected 643,070 posts on the social media site Reddit between January 2013 and December 2018. We developed and validated an annotation scheme, achieving a high level of agreement among annotators. We then manually coded a subset of 2,630 posts for their content with relation to experiences and use of the three products of interest, and further developed word cloud representations of the words contained in these posts. Finally, we applied Latent Dirichlet Allocation (LDA) topic modeling to the 643,070 posts to identify emerging themes related to cannabis, tobacco, and ENDS products being discussed on Reddit.Results: Our manual annotation process yielded 2,148 (81.6%) posts that contained a mention(s) of either cannabis, tobacco, or ENDS with 1,537 (71.5%) of these posts mentioning cannabis, 421 (19.5%) mentioning ENDS, and 264 (12.2%) mentioning tobacco. In cannabis-specific subreddits, personal experiences with cannabis, cannabis legislation, health effects of cannabis use, methods and forms of cannabis, and the cultivation of cannabis were commonly discussed topics. The discussion in tobacco-specific subreddits often focused on the discussion of brands and types of combustible tobacco, as well as smoking cessation experiences and advice. In ENDS-specific subreddits, topics often included ENDS accessories and parts, flavors and nicotine solutions, procurement of ENDS, and the use of ENDS for smoking cessation.Conclusion: Our findings highlight the posting and participation patterns of Reddit members in cannabis, tobacco, and ENDS-specific subreddits and provide novel insights into aspects of personal use regarding these products. These findings complement epidemiologic study designs and highlight the potential of using specific subreddits to explore personal experiences with cannabis, ENDS, and tobacco products.

A Web-based Event History Calendar Approach for Measuring Contraceptive Use Behavior

Event history calendars (EHCs) are frequently used in social measurement to capture important information about the time ordering of events in people’s lives and enable inference about the relationships of the events with other outcomes of interest. To date, EHCs have primarily been designed for face-to-face or telephone survey interviewing, and few calendar tools have been developed for more private, self-administered modes of data collection. Web surveys offer benefits in terms of both self-administration, which can reduce social desirability bias, and timeliness. We developed and tested a web application enabling the calendar-based measurement of contraceptive method use histories. These measures provide valuable information for researchers studying family planning and fertility behaviors. This study describes the development of the web application and presents a comparison of data collected from online panels using the application with data from a benchmark face-to-face survey collecting similar measures (the National Survey of Family Growth).