Browsing by Author "Schuetz, Sebastian"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Blockchain, adoption, and financial inclusion in India: Research opportunities
    Schuetz, Sebastian; Venkatesh, Viswanath (Elsevier, 2020-06-01)
    The economic development of rural India requires connecting remote villages to local and global supply chains. Yet, high rates of financial exclusion inhibit rural Indians from participating in these supply networks. We review the literature on financial inclusion, adoption, and blockchain in India, and posit that to resolve financial exclusion, the four challenges of geographical access, high cost, inappropriate banking products, and financial illiteracy need to be overcome. Next, we argue that blockchain technologies hold the potential to overcome most of these challenges. However, for blockchain technologies to become the cornerstone of financial inclusion initiatives, an understanding of technology adoption in India is needed. To guide the development of such understanding, we develop a research agenda on the antecedents of adoption, adoption patterns, and outcomes of adoption. Answering these research questions will lead to a nuanced understanding of adoption of blockchain-based technologies in rural India. The practical contribution of this paper is the discussion of how blockchain can alleviate the issue of financial exclusion in rural India, thereby providing a basis for a solution that could connect rural Indians to global supply chain networks. The theoretical contribution lies in the identification of knowledge gaps that should be answered to achieve financial inclusion of rural Indians.
  • Thumbnail Image
    Tell Me A Story: The Effects That Narratives Exert on Meaningful-Engagement Outcomes in Antiphishing Training
    Schuetz, Sebastian; Hull, David; Lowry, Paul Benjamin (Elsevier, 2023)
    Antiphishing training is a critical element of an organization’s security posture. Yet, its effectiveness is often limited by trainees’ perception that it is boring and unengaging, which weakens their attention and thus diminishes learning outcomes. We examine whether antiphishing training that uses narratives—stories—can make training more engaging and improve training outcomes. To that end, we conduct an experiment to compare the effects of a narrative antiphishing training against an existing non-narrative training as well as a no-training control group. Comparing against the control group, we found both training models to be effective. However, comparing the two training models, the experiment showed that the narrative training engenders higher levels of curiosity among trainees and higher levels of phishing-detection self-efficacy and phishing-detection ability. Taken together, these findings show that antiphishing training in specific, and perhaps security training in general, can be improved using narratives.
  • Thumbnail Image
    User compensation as a data breach recovery action: a methodological replication and investigation of generalizability based on the Home Depot breach
    Hoehle, Hartmut; Wei, Jia; Schuetz, Sebastian; Venkatesh, Viswanath (Emerald, 2021-02-26)
    Purpose: In the aftermath of data breaches, many firms offer compensation to affected customers to recover from damaged customer sentiments. To understand the effectiveness of such compensation offerings, Goode et al. (2017) examined the effects of compensation offered by Sony following the PlayStation Network breach in 2011. Although Goode et al. (2017) present key insights on data breach compensation, it is unclear whether their findings generalize beyond the context of subscription-based gaming platforms whose customers are young and experience substantial switching costs. To address this issue, we conducted a methodological replication in a retail context with low switching costs. Design/methodology/approach: In our replication, we examine the effects of compensation offered by Home Depot in the aftermath of its data breach in 2014. Home Depot is the largest home improvement retailer in the US and presents a substantially different context. Data were collected from 901 participants using surveys. Findings: Our results were consistent with the original study. We found that in retail breaches, effective compensation needs to meet customers' expectations because overcompensation or undercompensation leads to negative outcomes, such as decreased repurchase intention. Originality/value: Our study provides insights into the effectiveness of compensation in the retail context and confirms the findings of Goode et al. (2017).