INTERNET USES AND GRATIFICATIONS: A Structural Equation Model of Interactive Advertising
By Hanjun Ko, Chang-Hoan Cho, M. Roberts. 2005
1,007 citations recorded by the source corpus.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/ee481a5e7d7f68e9ce92e7b434f3041f5d8c2c9f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Mathew S. Isaac
- Edward C. Malthouse
- Bobby J. Calder
- Joe Phua
- Benedikt Jahn
- Yang Cao
- Pei-Ching Lin
- Jihoon Kim
In Organizational Behavior and Human Resource Management
- Mathew S. Isaac
- Joe Phua
- Benedikt Jahn
- Yang Cao
- Pei-Ching Lin
- Ching-Yuan Huang
- Edward C. Malthouse
- Sejung Marina Choi
In Sociology and Political Science
- Mathew S. Isaac
- Seunga Venus Jin
- Jihoon Kim
- Edward C. Malthouse
- Bobby J. Calder
- Joe Phua
- Yang Cao
- Che-hui Lien
Citations in the corpus
- Involvement theory in constructing bloggers' intention to purchase travel products (2010, methodology): “…the involvement theories proposed by Houston and Rothschild (1978), Zaichkowsky (1986), and Andrews et al. (1990), as well as the ad effect measuring models empirically examined by MacKenzie et al. (1986), Ko (2002), and Kavadas (2003), this research framework is conducted as shown in Fig.”
- The Effectiveness of Advertising: A Meta-Meta-Analysis of Advertising Inputs and Outcomes (2016, background): “…audience relationship, as suggested, for instance, by uses and gratifications approaches, indicates that the greatest effects of advertising can be expected when the recipients’ needs are fulfilled and receivers gain gratification from engaging with advertising (e.g., Ko, Cho, and Roberts 2005).”
- Gratifications of using Facebook, Twitter, Instagram, or Snapchat to follow brands: The moderating effect of social comparison, trust, tie strength, and network homophily on brand identification, brand engagement, brand commitment, and membership intention (2017, background): “…seek out different media to fulfill their informational, entertainment, social, and escapism needs, with media self-efficacy, habitual behavior, prior attitudes, self-regulation, and other factors moderating their media selections (Dimmick et al., 2004; Ko et al., 2005; LaRose and Eastin, 2004).”
- Cultural difference in motivations for using social network sites: A comparative study of American and Korean college students (2011, background): “" All of the specific items were borrowed from prior literature, including Papacharissi and Rubin's (2000) and Ko et al. (2005) Internet use motives, Ridings and Gefen's (2004) virtual community use motives, and Yoon et al. (2002) Internet portal use motives.”
- How to Transform Consumers into Fans of Your Brand (2012, positive): “…gratification (U&G) theory, proposed by Katz (1959), has been found useful for application to new media like the internet, online communities, social networking, and blogs (Raacke and Bonds-Raacke, 2008; Sheldon, 2008; Chung and Austria, 2010; Ko et al., 2005; Ruggiero, 2000; Song et al., 2004).”
- How smartphone advertising influences consumers' purchase intention (2019, background): “Consumers show a favorable attitude to products or services when purchase intention increases (Ko et al., 2005).”
- Predicting Audience Exposure to Television in Today's Media Environment: An Empirical Integration of Active-Audience and Structural Theories (2009, background): “…an understanding of how audience motivations, individual characteristics, and preferences link to media behavior (e.g., Ferguson & Perse, 2000; Kang, 2002; Katz et al., 1974; Ko et al., 2005; Papacharissi & Rubin, 2000; Roe & Minnebo, 2007; Rosengren, Wenner, & Palmgreen, 1985; Shim & Paul, 2007).”