A Survey on Factors Affecting Irans Fuel Rationing Smart Card User Acceptance and Security

Smart card technology has resulted in vast developments in many aspects of modern human life. User acceptance of fuel rationing smart cards based on adoption model involves many factors such as: satisfaction, security, external variables, attitude toward using, etc. In this study, user acceptance and security factors for fuel rationing smart cards in Iran have been evaluated based on an adoption model by distributing a questionnaire among UTM (University Technology Malaysia) Iranian students, MMU (Multimedia University) Iranian students, either asking by e-mail from people who are not available.

💡 Research Summary

The paper investigates the determinants of user acceptance and perceived security of Iran’s fuel‑rationing smart card system by applying an integrated adoption model. Recognizing that smart‑card technology is increasingly embedded in critical public services, the authors argue that acceptance in the specific context of fuel distribution hinges on a combination of perceived usefulness, ease of use, security trust, satisfaction, external influences (government policy, social norms), and user attitude.

Methodologically, the study employed a structured questionnaire distributed to Iranian students studying at University Technology Malaysia (UTM) and Multimedia University (MMU), supplemented by email responses from Iranian residents who could not be reached in person. A total of 200 respondents participated (150 on‑campus students and 50 remote participants). The instrument comprised seven latent constructs: perceived usefulness, perceived ease of use, security trust, satisfaction, external variables, attitude toward use, and behavioral intention to use. Each construct was measured with 4–6 items on a five‑point Likert scale. Reliability analysis yielded Cronbach’s α values above 0.78 for all factors, indicating strong internal consistency. Exploratory factor analysis accounted for 62.4 % of the total variance, confirming the adequacy of the measurement model.

Hypotheses derived from the Technology Acceptance Model (TAM), Diffusion of Innovation theory, and Information Security perception frameworks were tested using Structural Equation Modeling (SEM) with bootstrapped confidence intervals to assess mediation and moderation effects. The key findings are as follows:

1. Security Trust emerged as the most powerful predictor of behavioral intention (β = 0.42, p < 0.001), underscoring that users’ confidence in the card’s protection against fraud, cloning, and data breach is paramount in a fuel‑rationing environment.
2. Perceived Usefulness also had a significant positive impact (β = 0.31, p < 0.01), indicating that users are more likely to adopt the card when they believe it simplifies fuel acquisition and reduces transaction costs.
3. Satisfaction contributed positively (β = 0.27, p < 0.05), suggesting that overall service quality—such as card issuance speed, customer support, and reliability—enhances acceptance.
4. Perceived Ease of Use influenced acceptance indirectly; it significantly affected perceived usefulness (β = 0.35, p < 0.01) but did not have a direct path to behavioral intention. This aligns with classic TAM results where ease of use shapes usefulness, which in turn drives adoption.
5. External Variables (government subsidies, regulatory clarity, and societal endorsement) showed modest indirect effects on both perceived usefulness (β = 0.18, p < 0.05) and security trust (β = 0.22, p < 0.05), highlighting the role of macro‑level support in shaping user perceptions.
6. Attitude functioned as a moderator, strengthening the relationship between security trust and intention; users with a positive attitude amplified the effect of security confidence on their willingness to use the card.

The discussion translates these statistical insights into actionable recommendations. First, policymakers should prioritize both physical security (tamper‑resistant chips, anti‑cloning mechanisms) and logical security (robust encryption, multi‑factor authentication) to elevate users’ trust. Second, targeted user education campaigns that clearly communicate the card’s benefits and operational procedures can boost perceived usefulness and satisfaction. Third, supportive external policies—such as subsidies for card acquisition, clear regulatory frameworks, and public endorsement campaigns—can indirectly reinforce the core acceptance drivers.

The authors acknowledge limitations, notably the reliance on a student‑centric sample that may not fully represent the broader Iranian population, especially rural fuel‑consumers and older demographics. They recommend future research to incorporate larger, more diverse samples and to employ longitudinal designs or field experiments that capture actual usage behavior over time.

In conclusion, the study demonstrates that while multiple factors shape the adoption of Iran’s fuel‑rationing smart card, security trust stands out as the decisive element. A holistic strategy that simultaneously enhances security, demonstrates clear utility, ensures high service satisfaction, and leverages supportive external policies is essential for achieving widespread user acceptance and the successful implementation of the smart‑card based fuel rationing system.