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The primary objective of this research is to provide a precise interpretation of the constructed machine learning model and produce definitive summaries that can evaluate the influence of investor sentiment on the overall sales of non-fungible token (NFT) assets. To achieve this objective, the NFT hype index was constructed as well as several approaches of XAI were employed to interpret Black Box models and assess the magnitude and direction of the impact of the features used.

The research paper involved the construction of a sentiment index termed the NFT hype index, which aims to measure the influence of market actors within the NFT industry. This index was created by analyzing written content posted by 62 high-profile individuals and opinion leaders on the social media platform Twitter. The authors collected posts from the Twitter accounts that were afterward classified by tonality with a help of natural language processing model VADER. Then the machine learning methods and XAI approaches (feature importance, permutation importance and SHAP) were applied to explain the obtained results.

The built index was subjected to rigorous analysis using the gradient boosting regressor model and explainable AI techniques, which confirmed its significant explanatory power. Remarkably, the NFT hype index exhibited a higher degree of predictive accuracy compared to the well-known sentiment indices.

The NFT hype index, constructed from Twitter textual data, functions as an innovative, sentiment-based indicator for investment decision-making in the NFT market. It offers investors unique insights into the market sentiment that can be used alongside conventional financial analysis techniques to enhance risk management, portfolio optimization and overall investment outcomes within the rapidly evolving NFT ecosystem. Thus, the index plays a crucial role in facilitating well-informed, data-driven investment decisions and ensuring a competitive edge in the digital assets market.

The authors developed a novel index of investor interest for NFT assets (NFT hype index) based on text messages posted by market influencers and compared it to conventional sentiment indices in terms of their explanatory power. With the application of explainable AI, it was shown that sentiment indices may perform as significant predictors for NFT sales and that the NFT hype index works best among all sentiment indices considered.

The purpose of this study is to provide quantitative information about the development of Islamic financial management literature. For this purpose, it is aimed to draw attention to the development of this field by revealing the literature gap in the field of Islamic financial management.

In this study, the document analysis method is used and the Web of Science (WOS) site is used to obtain the desired data. The time range of the study covers the years 1980–2023/January. The results obtained from the scans were analyzed by the bibliometric analysis method. The data obtained within the scope of the study are classified and analyzed using the VOSviewer program, which is one of the many software developed for scientific mapping analysis. The obtained data are presented in a certain order with the visual mapping method.

In the analyses made, bibliometric analysis based on document review and including the subject of “Islamic financial management” in the WOS database between the relevant years has not been used in any study, which points to an important gap in the literature. However, 3,022 studies on “Financial management” and 1,830 studies on “Islamic finance” have been identified. Although there is no data on “Financial Management”, the subjects of “Islamic finance” and “Financial management” related to the subject have been evaluated in terms of countries, the most publishing organizations, authors, publications and word–word groups, using the bibliometric analysis method, as well as making numerical and visual evaluations. These studies show that an infrastructure to include the subject of “Islamic financial management” has not been formed in the literature.

This study points to an important gap in the literature. The subjects of “Islamic finance” and “Financial management” have been sufficiently covered in the literature separately. By combining this knowledge with new studies there appears an environment where original studies on the subject of “Islamic financial management” can be made and this study is aimed to shed light on this virgin area.

In the literature bibliometric analysis based on document review including the subject of “Islamic financial management” has not been used in any study. To the best of the author’s knowledge this study is the first in the literature to address the related issue and with it an important gap in the literature has been identified and an important case that will be a source for future studies has been revealed.