Table 3.

Summary statistics of identified barriers (Delphi stage)

No.List of factorsAverage scoreRankingSDSkewnessKurtosis
F1Poor data quality limits the effectiveness of AI in delivering personalized marketing3.45021.9540.300−1.168
F2Incompatible systems disrupt the integration of AI into personalized marketing tools4.39081.903−0.203−0.939
F3Resistance to change slows the adoption of AI in personalized marketing strategies3.88041.654−0.192−0.966
F4Lack of skilled professionals hampers the use of AI in personalized marketing4.30072.201−0.243−1.434
F5Ethical concerns reduce trust in using AI for personalized customer engagement3.70032.1280.051−1.471
F6Uncertain return on investment discourages the use of AI in personalized marketing4.670101.708−0.524−0.370
F7Privacy concerns restrict the use of personal data for AI-driven marketing4.52092.138−0.339−1.323
F8Limited awareness about AI reduces its adoption in personalized marketing3.94051.8530.000−1.002
F9High costs make it difficult to implement AI for personalized marketing3.24011.6010.6950.181
F10Inadequate infrastructure limits the scalability of AI in personalized marketing4.15061.460−0.6640.089

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