Processing Information Security Messages: An Elaboration Likelihood Perspective

The increasing number of security incidents is causing great concern to organizations. Information security awareness programs are an important approach towards educating users to prevent such incidents. However, it is unclear how to effectively design security programs and messages such that they can inform and change user behaviour. The role of individual factors in influencing the processing of security messages is also unclear. This paper attempts to investigate these problems by studying the effects of security message characteristics and recipient factors on users’ attitude towards security, using the information-processing theory of elaboration likelihood. Two models are developed for this study. The first model studies two message characteristics, argument quantity and quality, as determinants of attitude towards security. A 2x2 factorial design experiment will be conducted to investigate the influence of these characteristics on attitude moderated by the elaboration likelihood towards the security message. The second model tests the effect of four recipient factors on elaboration likelihood. The model development, experimental methodology, and data analysis details are described in this research-in-progress paper. The results are expected to inform the design of effective security messages and contribute to research in this area

Artificial Intelligence Meets IS Researchers: Can It Replace Us?

Given we live in an era with accelerating digitization and rapid advances in artificial intelligence (AI), AI may eventually automate more job tasks. However, researchers have scarcely if at all critically analyzed how AI will automate such tasks and what professions it will automate more than others. Some studies suggest that AI cannot conduct highly creative and knowledge-intensive tasks. Yet, AI algorithms have generated creative art pieces that even art critics could not distinguish from human-drawn paintings. As IS (and most other) researchers, we pride ourselves on our work’s scarcity, novelty, and creativity. In this context, we report on a panel at the 40th International Conference for Information Systems that debated whether AI can and will replace our major activity, IS research, or even IS researchers themselves

Determinants of consumers’ intentions to share knowledge and intentions to purchase on s-commerce sites: incorporating attitudes toward persuasion attempts into a social exchange model

This research explores s-commerce users’ intentions to purchase and to share knowledge by incorporating ‘attitudes toward persuasion attempts,’ ‘ease of use,’ and ‘perceived usefulness’ into a social exchange theory model. A survey using an on-site purposive sampling technique was used to recruit the respondents, and an interception technique was used to approach the consumers. A total of 471 Korean consumers participated in this research. Based on 471 Korean social-commerce users, our results reveal that social exchange belief factors and a site’s usability affect user satisfaction, which subsequently affects users’ intentions to purchase and to share knowledge. In addition, attitudes toward persuasion attempts moderate the effect of satisfaction on users’ purchase intentions. Keywords: social exchange theory, attitudes toward persuasion attempts, intention to share knowledge, social exchange belief