There has been incredible interest in Internet-of-Things (IoT) and blockchain technology (BCT) around the world and across sectors. Following great achievement in the other sectors, the implementation of IoT and BCT have gained great interest in Humanitarian Logistics (HL) at many levels despite remaining in an earlier stage. The profit and non-profit organizations both are under increasing worldwide pressure for transparency, with donors and governments calling for enhanced transparency and information exchange in the humanitarian sector. This study, which is based on transactive memory systems (TMS) theory perspectives, proposes a study framework to understand "how can the transparency, public trust, and coordination in HL be improved through the integration of IoT with BCT?". We framed and tested six research hypotheses, using data collected from Humanitarian Organizations (HOs) employees. We have applied a Covariance-based structure equation model (CB-SEM) with confirmatory factor analysis (CFA). This study results confirm that our all hypotheses were supported. The research results show that the association between explanatory variables (i.e., IoT and BCT) and the response variables (i.e., public trust and coordination) is mediated by transparency. This study provides substantial and valid contributions to the literature on IoT, BCT, transparency, public trust and coordination. This study proves that transparency plays a crucial role in enhancing public trust, coordination, and ultimately HL performance through the integration of IoT with BCT. The study results could be helpful for all the stakeholders of disaster risk management since they are insistently looking for strategies to support afflicts. Our study is a good candidate solution to raise awareness of fast, fair, and safe HL to reveal research gaps and provide opportunities for future research. The study will provide an enormous understanding of IoT and BCT in HL, which has not been investigated empirically before.
Unemployment, particularly youth unemployment, is a big issue that countries are facing globally. It has been a major concern for many countries like Pakistan. In this research, we develop an empirical study on investigating the determinants affecting youth unemployment in Pakistan. This study observes the youth unemployment and the variety of determinants that were identified as political instability, lack of investment, backwardness of agriculture sector, and overpopulation. This study discussed that young people aged (15-24) have been largely affected by the existing recession. This is for the reason that the present youth group is quite big, the longer-term viewpoint for youth unemployment is relatively great and there is a sturdy case for policymakers currently to tackle these problems that the present group is having in finding access to work. It also discusses the need for sufficient employment environment, policy examining, and assessment of the reasons to assist in providing more advanced jobs for youth. The results show that political instability, lack of investment, backwardness of agriculture sector, and overpopulation significantly affect youth unemployment.
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