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Alexander J. Barelka

Bio: Alexander J. Barelka is an academic researcher. The author has contributed to research in topics: New media & Information technology. The author has an hindex of 1, co-authored 2 publications receiving 17 citations.

Papers
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Journal ArticleDOI
TL;DR: A qualitative analysis of data gathered via in-depth semi-structured interviews with 80 individuals leads to the Content Acceptance Model (CAM) for understanding trial, adoption, and use in the context of New Media technologies.
Abstract: New Media technologies such as social networking and video sharing used today are aimed at individuals and seem to offer utilitarian and hedonic value to users. Unlike classical information technologies, New Media technologies rely on user-generated content and generally take users through the stages of trial, adoption, and use. Prior literature on technology acceptance provides an understanding of how users engage with information systems and the individual, technology, and environmental factors that influence adoption and use. However, little is known about the combination of trial, adoption, and use stages and how the content of information technologies impact behavior. A qualitative analysis of data gathered via in-depth semi-structured interviews with 80 individuals leads us to the Content Acceptance Model (CAM) for understanding trial, adoption, and use in the context of New Media technologies.

18 citations

Proceedings Article
01 Jan 2009
TL;DR: A review of existing technology acceptance models reveals that the individual level content provided by these systems is often not considered and suggests that new models are required in order to fully capture how the New Media adoption process operates.
Abstract: New Media is not defined by a specific technology but rather by a process that ultimately contributes to the development of new artifacts, practices, and social arrangements (Lievrouw and Livingstone, 2006; Peters, 2009; Stober, 2004). Many forms of New Media used today focus on individual level attributes but existing technology adoption models tend to stress technology and organizational level characteristics (Lee, Cheung and Chen, 2007). This suggests that new models are required in order to fully capture how the New Media adoption process operates. Indeed, a review of existing technology acceptance models reveals that the individual level content provided by these systems is often not considered. A subsequent qualitative analysis of 80 in-depth semi-structured interviews revealed that it is this content which often drives the trial, use, adoption, and diffusion of New Media systems.

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Journal Article
TL;DR: A recent meta-study as mentioned in this paper identifies existing studies that observe what exactly leads to user acceptance of the technology underlying social media, which is one of the most prominent models in information technology acceptance research.
Abstract: 1. IntroductionIn light of social media's significance for individuals and society, in recent years there has been increasingly widespread discussion of the topic in academia [Khang et al. 2012]. Numerous social media-related research interests exist in various scientific disciplines. These range from politics (e.g., [Park 2013]) to public administration (e.g., [Lampe et al. 2011]), communication sciences and journalism (e.g., [McCauliff 2011]), psychology (e.g., [Leung 2013]), law (e.g., [Sanchez Abril et al. 2012]), education (e.g., [Pritchett et al. 2013]), cultural studies (e.g., [Lim & Palacios-Marques 2011]) and not least economics, business administration (cf., [Khang et al. 2012]) and electronic commerce (e.g., [Wirtz et al. 2013]).In particular, the latter three are not surprising since social media heavily influence both the broader economy and the increasingly digitalized business world. The actors involved, in turn, can use social media for their own purposes, thus implying the practical relevance for all sorts of organizations and companies [Kaplan & Haenlein 2010]. Given this situation, it is not only important for social media providers to know what exactly drives user acceptance of the technology underlying social media, why specific platforms like Facebook, Twitter or YouTube are so successful [Papagiannidis & Bourlakis 2013] but also to know what might determine user acceptance of future social media applications.In this connection, researchers have earlier made well-grounded scientific statements about the increasing diversity, the accordingly growing research potential and a particularly important interest in exploring user acceptance or adoption of social media (e.g., [Shin & Kim 2008; Sledgianowski & Kulviwat 2009]). The importance of this research interest must be emphasized in view of the vast development in the field, with new platforms constantly emerging, e.g. Flickr in 2004, Tumblr in 2007, 9GAG in 2008, Instagram and Pinterest in 2010, Google+ in 2011, Pheed in 2012 and Ello in 2014. Since at times also quite vague business models accompany the latter applications, further questions about the related user acceptance are likely to arise in the future.Therefore, this meta-study seeks to identify existing studies that observe what exactly leads to user acceptance of the technology underlying social media. Since the TAM [Davis 1986] is one of the most prominent models in information technology acceptance research [Venkatesh et al. 2003] and, according to our inquiries, so far also the prevailing theoretical approach regarding users' adoption of social media, this review focuses on studies that are based on the TAM. While especially in the realm of information systems and technology, the body of literature related to social media continues to grow (e.g., [Barelka et al. 2013; El-Haddadeh et al. 2012; Lane & Coleman 2012; Shin 2013]), surprisingly there is a lack of comprehensive literature reviews.In the field of business administration, Khang et al. [2012], for instance, review "... social media research in advertising, communication, marketing and public relations" [p. 279] according to the respective publications' topic, theory and method as well as their "frequency, proportion, and occurrence patterns" [p. 282] in different journals. While this categorization approach is sufficient to gain a more general overview of social media business research, extensive literature reviews of empirical, multivariate studies would be desirable, which present hitherto existing and contradictory research about specific subject areas in social media in a cohesive manner.In this regard, there are indeed several meta-studies about the TAM from more general viewpoints (e.g., [Chuttur 2009; King & He 2006; Legris & Ingham 2003; Schepers and Wetzels 2007; Turner et al. 2010; Venkatesh et al. 2003; Wu & Lederer 2009]). Yet we find hardly any reviews particularly focusing on the TAM and social media. …

64 citations

Journal ArticleDOI
TL;DR: In this paper, a typology for use as an analytical framework covering technological innovations and variations in market demand is presented. But the typology is not applied to the photographic industry, specifically the development of digital imaging technologies which disrupted existing film material and chemistry technologies in a paradigm shift from analog film to digital cameras.

33 citations

Journal ArticleDOI
TL;DR: Results show that age influences optimism, innovativeness, and perceived usefulness of adoption of social media, by investigating the digital gap that could exist between generations.
Abstract: 1.4 billion Euros. This is the amount spent on social media marketing in Europe. This figure is expected to reach 3.2 billion in 2017 (Forrester, 2013), an increase of nearly 150%. However, from the point of view of literature, the concept of social media is still new even though the importance of technology in communication has been studied before. This research focuses on adoption of social media by investigating the digital gap that could exist between generations. Based on a quantitative survey (414 answers), CFA and SEM analyses were used to highlight the main influencers of adoption of social media per generation. Results show that age influences optimism, innovativeness, and perceived usefulness of adoption of social media.

26 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examine factors that affect the willingness to donate goods and services on social media, including self-esteem, social interaction, social importance, exposure to and subjective value of contributions.
Abstract: The study focusses on online community (henceforth OC), a dominant factor in the social media domain. OCs are growing in popularity and offer an accessible outlet for individuals who genuinely wish to contribute for the good of society by identifying motivations for contributing goods and services to OCs. Examples range from Couchsurfing, a global online exchange community for coordinating free travel accommodations, to Freecycle, on which members offer a variety of items for free. Drawing on the Uses and Gratifications, Social Identity and Self-Categorisation theories and on data gleaned from 1,229 respondents, we validate and examine factors that affect willingness to contribute goods and services on social media. We construct and validate a Willingness to Contribute on Social Media (WCSM) Scale, employing SEM to analyse the data. Findings corroborate positive effects of self-esteem, social interaction, social importance, exposure to and subjective value of contributions on the willingness to donate. Self-esteem and interactions mediate the relationship between status-seeking and the willingness to donate.

24 citations

Journal ArticleDOI
TL;DR: An online Moodle Workshop was evaluated for peer assessment effectiveness and a quasiexperiment was designed using a Seminar in Professionalism course taught in face-to-face mode to undergraduate students across two campuses to determine if Moodle workshop awarded a fair peer grader grade.
Abstract: An online Moodle Workshop was evaluated for peer assessment effectiveness. A quasiexperiment was designed using a Seminar in Professionalism course taught in face-to-face mode to undergraduate students across two campuses. The first goal was to determine if Moodle Workshop awarded a fair peer grader grade. The second objective was to estimate if students were consistent and reliable in performing their peer assessments. Statistical techniques were used to answer the research hypotheses. Although Workshop Moodle did not have a built-in measure for peer assessment validity, t-tests and reliability estimates were calculated to demonstrate that the grades were consistent with what faculty expected. Implications were asserted to improve teaching and recommendations were provided to enhance Moodle.

19 citations