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The health crisis linked to COVID-19 has made digitization a significant issue for companies regardless of their form or geographical location. Our research focuses on the financial technology (Fintech) revolution in the context of international development. Its theoretical framework lies in both the fields of Fintech and factoring. As innovative start-ups that combine finance with new technologies, Fintechs have been able to disrupt the banking world in a few years by challenging its traditional practices. We use the case method to analyze two Fintech in-depth, and our results highlight the upheaval of Fintechs in the factoring sector. The supply of the analyzed Fintech is a limited working capital requirement. Furthermore, Fintechs may threaten classical banks due to the innovation of their offers and business models. However, the Fintech revolution focused on corporate finance is still in its infancy.

The Belt and Road Initiative (BRI) – the modern equivalent of the historic Silk Route – will connect China to multiple countries in Asia, Africa, and Europe through a complex web of land and sea routes. As a pilot project of a network of this magnitude, the 62 billion dollar China Pakistan Economic Corridor (CPEC) has far-reaching implications for future bilateral agreements with other countries along the routes, and for geopolitics in the region. This chapter will analyze CPEC along the following key strands of inquiry: Pakistan’s internal political economy, her macroeconomic stability, and an analysis of the corridor’s long-term impact.

While the literature on corridors is extensive, it does not give us a unifying theory with which to gauge the effectiveness of CPEC, which is more than an economic endeavor. In order to truly understand the dynamics of the region, the authors examine the extent to which domestic support for the CPEC may impact the whole initiative, and how the deficiencies in local infrastructure may take away from its success.

Amid rising environmental concerns, Industry 4.0 and blockchain technology (BCT) are transforming circular economy practices and prevailing business models. Recognizing the same, the current study examines the role of advanced technology in circular practices and their impact on eco-environmental performance, which influences organizational performance. The study collects data from 185 food processing enterprises that are located in Malaysian territories. By employing CB-SEM modeling, the study provides three key findings. First, Industry 4.0 significantly improves the circular economy practices. Second, circular economy practices help to improve firms' environmental performance but did not stimulate operational performance. Third, higher eco-environmental performance significantly boosts organizational performance. This study set out the foundations for participating countries/firms that help to achieve sustainable goals through the integration of blockchain technology in circular economy practices.

The prolonged army rule in the country has affected the policymaking procedure of the state. Specifically, defence and foreign policies of the country are normally decided by the armed forces of Pakistan as per their own priorities, which is against the norms of democratic culture and supremacy of the civilian rule.

The control of important decision-making process in the hands of the armed forces has generated an arms race in the subcontinent. The major portion of the national budget is being spent on the defence forces and other sectors such as education and health and social welfare are not getting their due share from the revenue of the country. The continued sense of insecurity and animosity with neighbour countries, especially India, has resulted in speeding the acquisition of sophisticated arms in the country.

This research discusses the effects of the military's role in the decision-making of the country and its impacts on the relations between India and Pakistan. The confidence building measures and peacemaking process in South Asia is dependent on the attitude of the military of both the countries.

The Hausawas are the largest ethnic group in sub-Saharan Africa, and significantly influence trade and development in the region (Limbs & Fort, 2000; Sabiu & Sarwar, 2019). They are highly entrepreneurial and have participated in international trade for centuries, particularly along the trans-Sahara. Historically, the Hausas have been considered one of Africa’s major trading powers. As of the twelfth century ad, their trading prowess was only rivalled by that of the Mali Empire and the Kanem-Bornu Empire (Sabiu, Zainol, & Abdullah, 2019).

Much can be learnt from indigenous Hausa culture of responsible management. Unfortunately, due to its multiple acculturative history, many aspects of this culture have not been properly preserved. Using historical sources, proverbs, and folktales, the author reclaims key cultural practices, values, and attitudes of the Hausa people that promote responsible management. Prominent amongst these values are kirki, respect for human dignity, spirit of work, being responsible, and honesty.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.