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. 2021 Jan 23;38(2):101572. doi: 10.1016/j.giq.2021.101572

Table 2.

Measures.

Constructs Item No. Measurement Sources
Perceived severity PS1 I think COVID-19 scams are a severe problem. Partially adapted from Witte (1996) & Martens et al. (2019)
PS2 I think COVID-19 scams are having a severe impact.
PS3 If I fall for a COVID-19 scam, the consequences would be severe.
PS4 If I fall for a COVID-19 scam, my property loss would be significant.
PS5 If I fall for a COVID-19 scam, I would be frustrated.
Perceived vulnerability PV1 If I do not pay attention, it is easy to fall for COVID-19 scams. Anderson and Agarwal (2010); Martens et al. (2019)
PV2 If I do not pay attention, I may become a victim of COVID-19 scams.
PV3 If I do not pay attention, the possibility of falling for COVID-19 scams is high.
Self-efficacy EFF1 Taking the necessary security measures against COVID-19 scams is easy for me. Anderson and Agarwal (2010); Martens et al. (2019)
EFF2 I feel comfortable taking the necessary security measures against COVID-19 scams.
EFF3 I can take the necessary security measures against COVID-19 scams without much effort.
Response efficacy RE1 Security measures against COVID-19 scams are valuable for protection. Witte (1996)
RE2 Security measures against COVID-19 scams work for protection.
RE3 Security measures against COVID-19 scams are effective for protection.
RE4 If I follow the security measures, my chance of falling for COVID-19 scams is reduced.
GSM participation PAR1 I always read the articles posted by the GSM. Zhang et al. (2018); Guo et al. (2020)
PAR2 I always share the articles posted by the GSM.
PAR3 I always recommend the articles posted by the GSM to my friends.
Information security behavior towards COVID-19 scams ISB1 I predict I will think before clicking the COVID-19 related links from unknown sources. Partially adapted from Witte (1996) & Martens et al. (2019)
ISB2 I predict I will think before donating to COVID-19 related online funds from unknown sources.
ISB3 I predict I will think before purchasing medical supplies from unknown online parties.