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The purpose of this study is to explore the potential for the development of a country logistics performance assessment approach based upon textual big data analytics.

The study employs design science principles. Data were collected using the Global Perspectives text corpus that describes the logistics systems of 20 countries from 2006–2014. The extracted texts were processed and analysed using text analytic techniques, and domain experts were employed for training and developing the approach.

The developed approach is able to generate results in the form of logistics performance assessments. It contributes towards the development of more informed weights of the different country logistics performance categories. That said, a larger text corpus and iterative classifier training is required to produce a more robust approach for benchmarking and ranking.

When successfully developed and implemented, the developed approach can be used by managers and government bodies, such as the World Bank and its stakeholders, to complement the Logistics Performance Index (LPI).

A new and unconventional approach for logistics system performance assessment is explored. A new potential for textual big data analytic applications in supply chain management is demonstrated. A contribution to performance management in operations and supply chain management is made by demonstrating how domain-specific text corpora can be transformed into an important source of performance information.

This study aims to investigate the factors that influence South African customers to potentially switch from one bank to another. Instead of using established models and survey techniques, the research measured social media sentiment to measure threats to switch.

The research involved a 12-month analysis of social media sentiment, specifically customer threats to switch banks (churn). These threats were then analysed for co-occurring themes to provide data on the reasons customers were making these threats. The study used over 1.7 million social media posts and focused on all five major South African retail banks (essentially the entire sector).

This study concluded that seven factors are most significant in understanding the underlying causes of churn. These are turnaround time, accusations of unethical behaviour, billing or payments, telephonic interactions, branches or stores, fraud or scams and unresponsiveness.

This study is unique in its measurement of unsolicited social media sentiment as opposed to most churn-related research that uses survey- or customer-data-based methods. In addition, this study observed the sentiment of customers from all major retail banks across 12 months. To date, no studies on retail bank churn theory have provided such an extensive perspective. The findings contribute to Susan Keaveney’s churn theory and provide a new measurement of switching threat through social media sentiment analysis.

The continuous presence and intensity of the Internet of things (IoT) in our lives and the risk of security breaches in traditional transactional and financial platforms are the major cause of personal and organizational data losses. Blockchain emerges as a promised technology to ensure higher levels of data encryption and security. Thus, this study aims to develop a systematic literature review analyzing the previous literature and to purpose of a framework to better understand the process of blockchain security.

The 75 articles reviewed were obtained through the Scopus database and a bibliographic-coupling analysis was developed to identify the main themes of this research area, via VOSviewer software.

The results enable the categorization of the existing literature revealing four clusters: 1) feasibility, 2) fintech and cryptocurrency, 3) data trust and share and 4) applicability. Blockchain technology is still in its early stage of development and counting on researchers in security and cryptography to take it further to new highs, to allow its applicability to different areas and in long-term scenarios.

This systematic literature creates a base to reduce the blockchain security literature gap. In addition, it provides a framework that enables the scientific community to access the main subjects discussed and the articulation between concepts. Furthermore, it enhances the state-of-the-art literature on blockchain security and proposes a future research agenda.