Information System Adoption and Pollution Prevention in Maritime Industry in Nigeria

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@article{1713518,
      author = {Okeke Kingsley Jideofor, Nwabueze Ebere, Enyioko Newman},
      title = {Information System Adoption and Pollution Prevention in Maritime Industry in Nigeria},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {7},
      pages = {939-971},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1713518.pdf},
      abstract = {The study examined the effect of information system adoption on pollution prevention in maritime industry in Nigeria. The population of the study consisted of 350 staff in the five surveyed government organizations in Nigeria. The study through the use of Monkey Survey, sampled 400 managerial staff of NIMASA and validly used 310 respondents representing 77.50% response rate for data analysis. Computer-based information system marine information system and information technology integration system were used as the dimensions of information system adoption in this study. The study used prevention of water pollution, prevention of marine plastic pollution and prevention of oil/gas pollution to measure pollution prevention. The study used a questionnaire to elicit information from the respondents. The study applied descriptive and inferential statistical tools to analyze the data and test the hypotheses with the help of SPSS 22.0. Results shows that computer-based information system has significant effect on prevention of water pollution. The study also revealed that information technology integration system has no significant effect on prevention of water pollution marine information system has no significant effect on prevention of marine plastic pollution and information technology integration system has no significant effect on prevention of oil/gas pollution of government organizations. The study concludes that the adoption of information system helps in diverse ways to prevent pollution in the maritime sector},
      keywords = {Maritime Information System, Marine Pollution, Plastic Pollution, Computer Based System},
      month = {January},
      doi = {https://doi.org/10.64388/IREV9I7-1713518}
  }