Journal of Business Analytics and Data Visualization (e-ISSN: 2584-1637)

Strategic Renewal in Times of Crisis: A Framework for Business Resilience in Bangladesh

2025-12-31T09:09:38+00:00

The purpose of this study is to identify the processes of strategic renewal for organizations in Bangladesh. It also looks at how and why these processes help firms in sustaining competitiveness during a crisis and building resilience. Due to the rising global volatility, economic shocks, political instability, and rapid technology disruption, the use of long-term strategic planning models is increasingly challenged. In recent years, although Bangladesh has been able to make firm economic progress, the business environment continues to remain vulnerable. This is mainly due to weak and ineffective regulatory systems, poor infrastructure, policy unpredictability, etc. Moreover, there are issues of over-dependence on the global market. Adaptive leadership, strategic flexibility, stakeholder collaboration, and digital transformation were found to enhance organizational renewal in such contexts, according to the research. Companies that use digital tech, scenario planning, and participatory decision-making are better able to respond to unprecedented disruptions and turn crises into innovation opportunities. The analysis also identifies how strategic paralysis occurs due to fluctuations in the market, regulatory unpredictability, and short-term financial pressure, which stop the implementation of long-term strategies. Using secondary data, a literature review, and thematic analysis, the proposed integrated Strategic Vision Adaptation Framework (SVAF) is developed in the Bangladesh context. According to the report, organizations need to improve on leadership development, digital readiness, and governance mechanisms to go from being responsive to crises to being adaptive for growth. According to the study, for the Bangladeshi firms to be resilient and grow sustainably in a complex, uncertain global environment, strategic renewal is a must.

Artificial Intelligence-based Chatbots in Creative Brainstorming: Review of Story Ideation and Invention Development

2026-02-19T09:58:45+00:00

Large language models (LLMs), such as ChatGPT, have revolutionized human-computer interaction and offer unexplored opportunities for creative collaboration. The review aims at examining conversational AI chatbots use in supporting brainstorming to come up with story ideas and inventions. They analyse the cognitive mechanisms behind AI-assisted creativity, how chatbots can be implemented in the creative processes, and the theoretical models explaining their performance by systematic review of the recent literature. They discover that AI chatbots are helpful intellectual scaffolds, enabling divergent thinking, reducing creative blocks, and providing rapid iteration. However, the problems of originality, overdependence, and the nature of human-AI co-creativity persist. The review presents the available literature on chatbot brainstorming, summarizes the key benefits and weaknesses, and proposes the research future directions. They conclude that, despite the AI chatbot being a powerful tool to make humans more creative, it should be used to achieve the goal of understanding that the computer is a partner and not a creator.

Bank-Specific Determinants of Profitability of Commercial Banks in Africa: Evidence from Panel Data (2013–2023)

2026-03-17T05:37:46+00:00

This study investigates the impact of bank-specific factors on the profitability of commercial banks in Africa. While prior research has largely focused on developed and emerging economies outside Africa, limited continent-wide evidence exists on the internal drivers of profitability among African banks. The study employs unbalanced panel data comprising 70 commercial banks drawn from 10 African countries between 2013 and 2023. Profitability was measured using Return on Assets (ROA), Return on Equity (ROE), and Net Interest Margin (NIM). The independent variables considered include capital adequacy, asset quality, operational efficiency, and liquidity. Both fixed- and random-effects panel models were estimated, with the Hausman test guiding model specification. Robustness was checked using alternative proxies and regional sub-group analysis. Results indicate that capital adequacy and operational efficiency exert a positive and statistically significant influence on bank profitability. Asset quality and deposit ratio (as a proxy for funding mix) show negative but insignificant relationships. Liquidity presents mixed evidence, positively related to ROA and ROE but negatively linked to NIM, implying profitability trade-offs in highly liquid banks. The findings underscore the importance of internal management decisions in driving profitability. In particular, bank managers should prioritize cost efficiency through digitalization, resource optimization, and prudent expense management. Regulators must balance capital requirements to safeguard stability without constraining lending. By jointly analyzing three measures of profitability across multiple African regions, this study provides comprehensive empirical evidence on internal performance drivers in African banking. It extends both the Resource-Based View and Efficiency Structure Hypothesis in the African context, offering insights for scholars, policymakers, and practitioners.

Artificial Intelligence in Hotels and Tourism Industry: A Bibliometric Analysis

2026-04-15T10:50:53+00:00

In a couple of years, digitalization in hotels and the travel industry will generate an endless number of innovations. AI is reshaping the hospitality and tourism industry through innovative technologies. Service automation has helped the hotel and travel industry rethink the guest experience. Nowadays, mobile technologies have become a factor in deciding whether to buy any product. This study provides an overview of the literature reviews on artificial intelligence. It helps to identify a research gap in artificial intelligence in the hotel and tourism industry. Results depict that ‘impact of Chatbots’, ‘ChatGPT’, ‘robots in hotels’, ‘tourist experience’, ‘smart receptionist’, and ‘AI Acceptance’ are the main domains of the present study. This research helps to identify the trends and patterns in this study. This study highlights the review of literature in Google Scholar, Emerald, and ProQuest on AI in hotels and tourism by using bibliometric analysis to determine the relationships between Co-occurences of keywords, volume of studies, authorship citation, and publication by year. Findings suggest that there is a growing interest in AI studies in hospitality from 2016 to 2023. In total, 971 manuscripts were collected through Google Scholar, Emerald, and the ProQuest database. 106 manuscripts were overlapping, and finally, 865 manuscripts were analysed by using bibliometric analysis.