Basics of qualitative research: Grounded theory procedures and techniques

Trust: The Social Virtues and the Creation of Prosperity

Meta-analytic procedures for social research

With the ever-increasing development of technology and its integration into users' private and professional life, a decision regarding its acceptance or rejection still remains an open question. A respectable amount of work dealing with the technology acceptance model (TAM), from its first appearance more than a quarter of a century ago, clearly indicates a popularity of the model in the field of technology acceptance. Originated in the psychological theory of reasoned action and theory of planned behavior, TAM has evolved to become a key model in understanding predictors of human behavior toward potential acceptance or rejection of the technology. The main aim of the paper is to provide an up-to-date, well-researched resource of past and current references to TAM-related literature and to identify possible directions for future TAM research. The paper presents a comprehensive concept-centric literature review of the TAM, from 1986 onwards. According to a designed methodology, 85 scientific publications have been selected and classified according to their aim and content into three categories such as (i) TAM literature reviews, (ii) development and extension of TAM, and (iii) modification and application of TAM. Despite a continuous progress in revealing new factors with significant influence on TAM's core variables, there are still many unexplored areas of model potential application that could contribute to its predictive validity. Consequently, four possible future directions for TAM research based on the conducted literature review and analysis are identified and presented.

Technology acceptance model: a literature review from 1986 to 2013

Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA

Crowdsourcing is one of the emerging Web 2.0 based phenomenon and has attracted great attention from both practitioners and scholars over the years. It can facilitate the connectivity and collaboration of people, organizations, and societies. We believe that Information Systems scholars are in a unique position to make significant contributions to this emerging research area and consider it as a new research frontier. However, so far, few studies have elaborated what have been achieved and what should be done. This paper seeks to present a critical examination of the substrate of crowdsourcing research by surveying the landscape of existing studies, including theoretical foundations, research methods, and research foci, and identifies several important research directions for IS scholars from three perspectives--the participant, organization, and system--and which warrant further study. This research contributes to the IS literature and provides insights for researchers, designers, policy-makers, and managers to better understand various issues in crowdsourcing systems and projects.

Evaluation on crowdsourcing research: Current status and future direction

A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type

Background: Diabetes has become one of the most prevalent chronic diseases, and many people living with diabetes use social media to seek health information. Recently, an emerging social media app, TikTok, has received much interest owing to its popularity among general health consumers. We notice that there are many videos about diabetes on TikTok. However, it remains unclear whether the information in these videos is of satisfactory quality.
Objective: This study aimed to assess the quality of the information in diabetes-related videos on TikTok.
Methods: We collected a sample of 199 diabetes-related videos in Chinese. The basic information presented in the videos was coded and analyzed. First, we identified the source of each video. Next, 2 independent raters assessed each video in terms of the completeness of six types of content (the definition of the disease, symptoms, risk factors, evaluation, management, and outcomes). Then, the 2 raters independently assessed the quality of information in the videos, using the DISCERN instrument.
Results: In regard to the sources of the videos, we found 6 distinct types of uploaders; these included 3 kinds of individual users (ie, health professionals, general users, and science communicators) and 3 types of organizational users (ie, news agencies, nonprofit organizations, and for-profit organizations). Regarding content, our results show that the videos were primarily about diabetes management and contained limited information on the definition of the disease, symptoms, risk factors, evaluation, and outcomes. The overall quality of the videos was acceptable, on average, although the quality of the information varied, depending on the sources. The videos created by nonprofit organizations had the highest information quality, while the videos contributed by for-profit organizations had the lowest information quality.
Conclusions: Although the overall quality of the information in the diabetes videos on TikTok is acceptable, TikTok might not fully meet the health information needs of patients with diabetes, and they should exercise caution when using TikTok as a source of diabetes-related information.

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TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos.

Although leveraging social media to access healthcare information is nothing new, a boom in short video apps offers new potential for disseminating health-related information. However, it is still unclear how short video apps might facilitate and benefit users’ consumption of health information. Furthermore, the technology features of short video apps complicate attempts to conduct research about them; as a consequence, they have been understudied. For addressing these concerns, this study adopts an affordance perspective to investigate the relationship between affordances and user experience and to examine factors that contribute to users’ intention to continue using short video apps to obtain health information.,Drawing upon affordance theory, we constructed a research model that integrates four types of affordances (livestreaming, searching, meta-voicing and recommending), three types of user experience (immersion, social presence and credibility perception), and user’s intention to continue use. We employed an online survey and obtained a sample of 372 valid responses from TikTok (DouYin) users in China. The partial least squares (PLS) method was used to analyze the data.,The study found that the user experience, in terms of social presence, immersion and credibility perception, can significantly predict users’ intention to continue using short video apps to obtain health information. Furthermore, the user experience was positively associated with the different affordances provided by the short video apps.,The findings of this study have several implications. First, the study contributes to the health information behavior literature by incorporating the aspect of user experience. Moreover, the study extends the application of affordance theory to users’ health information acquisition, and it carries some practical implications on how to leverage the great potential of short video apps to serve public health communication better.

Short video apps as a health information source: an investigation of affordances, user experience and users’ intention to continue the use of TikTok

The general quality of online health information is problematic. Especially in the Web 2.0 era, many kinds of health misinformation are spreading via online social media, and imposing various negative outcomes on consumers. Health literacy is a concept theoretically related to critical information judgment and may protect consumers from the hazard of misinformation. This study aims to bridge the research gap between health literacy and misinformation judgment. We employ a survey approach with stimuli and instruments adapted from prior studies. By ordered probit regression, we find that the increase of health literacy can significantly decrease consumer’s credibility perception on health misinformation. Several implications are discussed based on the empirical results.

Qinghua Zhu

Papers

Evaluation on crowdsourcing research: Current status and future direction

A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type

TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos.

Short video apps as a health information source: an investigation of affordances, user experience and users’ intention to continue the use of TikTok

The Role of Health Literacy on Credibility Judgment of Online Health Misinformation