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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.

This study aims to investigate the decline of American hegemony as one of the most prominent crises of the modern world order, from a broader perspective that transcends narrow traditional interpretations. The paper assumes that the September 11 events in 2001 have launched the actual decline in American hegemony. Tracing the evolution of US global strategy over the past two decades, the study seeks to analyze the main causes and repercussions of the decline of US hegemony, which would provide a bird’s eye view of what the current global system is going through.

The study investigates the decline in American hegemony through a longitudinal within-case analysis which focuses on the causal path of decline in hegemony in the case of the USA, since the events of September 11, 2001, and tries to identify the causal mechanisms behind this decline. Following George and Bennet (2005), the study uses process tracing to examine its research question. Process-tracing method seeks to identify the intervening causal process – causal chain or causal mechanisms or the steps in a causal process – that leads to the outcome of a particular case in a specific historical context (Mahoney, 2000; Bennet and Elman, 2006). The study chose this method, as it offers more potential for identifying causal mechanisms and theory testing (George and Bennet, 2005); it opted for a specific procedure, among the variety of process-tracing procedures listed by George and Bennet, which is the detailed narrative presented as a chronicle, accompanied by explicit causal hypotheses. Using this process tracing procedure, the study assumes that American hegemony has witnessed dramatic changes in the aftermath of critical junctures, particularly the events of September 11, 2001, and the financial crises, 2008, which contributed significantly to this decline. Consequently, it traces the impact of these events on the state of American hegemony, in light of the review of contributions of different theories on hegemony in the field of international relations, both traditional and critical. Consequently, introducing the theoretical framework used in the study (the four-dimensional model of hegemony), which transcends criticisms of previous theories.

The crises of the modern world order and the decline of American hegemony – being the main manifestation of such crises – revealed the inability of the traditional and critical approaches reviewed in the study to interpret this decline and those crises. The reason behind that was the inability of these interpretations to reflect the various dimensions of American hegemony and its decline since the September 11 events. This highlights the importance of using the four-dimensional model, which combines different factors in the analysis and has proved to be an appropriate model for studying the case of American hegemony and its decline after the events of September 11, as it deals with the phenomenon of hegemony as a social relationship based on specific social networks.

Despite the currency and relevance of the decline of US hegemony for both the academic and political world, the topic needed to be analyzed systemically and addressed in a thorough scientific way. Through the application of theoretical concepts into the analysis of empirical data, this study contributes to a field where too often the discourse about decline of American hegemony is led without the required theoretical or conceptual considerations.

Implementing blockchain in sustainable development goals (SDGs) and environmental, social and governance (ESG)-aligned infrastructure development involves intricate strategic factors. Despite technological advancements, a significant research gap persists, particularly in emerging economies. This study aims to address the challenges related to SDGs and ESG objectives during infrastructure delivery remain problematic, identifying and evaluating critical strategic factors for successful blockchain implementation.

This study employs a three-stage methodology. Initially, 13 strategic factors are identified through a literature review and validated by conducting semi-structured interviews with six experts. In the second stage, the data were collected from nine additional experts. In the final stage, the collected data undergoes analysis using interpretive structural modeling (ISM)–cross-impact matrix multiplication applied to classification (MICMAC), aiming to identify and evaluate the independent and dependent powers of strategic factors driving blockchain implementation in infrastructure development for SDGs and ESG objectives.

The study’s findings highlight three significant independent factors crucial for successfully integrating blockchain technology (BT) into infrastructure development for SDGs and ESG goals: data security (F4), identity management (F8) and supply chain management (F7). The study unravels these factors, hierarchical relationships and dependencies by applying the MICMAC and ISM techniques, emphasizing their interconnectedness.

This study highlights critical strategic factors for successful blockchain integration in SDG and ESG-aligned infrastructure development, offering insights for policymakers and practitioners while emphasizing the importance of training and infrastructure support in advancing sustainable practices.

Muslimophobia, or prejudice toward Muslims, results in employment discrimination, social exclusion of Muslims, anti-Muslim hate crimes, and physical and verbal assaults, in the United States and globally. Moreover, anti-Muslim incidents are on the rise in many countries. In this chapter, we provide a review of Muslimophobia and its dynamics and consequences in the workplace. We also make suggestions for reducing prejudice toward Muslim employees, using social psychological perspectives, particularly intergroup contact theory, and research on prejudice reduction. It is also argued that leaders play an important role in the combating of Muslimophobia, including creating opportunities for personalized interactions with Muslim employees and disseminating more information about Muslims and Islam. This chapter concludes with practical implications and suggestions for future research directions. Although there is much work to be done in reducing Muslimophobia and discrimination against Muslims, social psychological research emanating from intergroup contact theory suggests that it is a viable path for researchers and practitioners to pursue.

Each stage in disaster management faces different challenges concerning information gathering, sharing, interpretation and dissemination. However, a comprehensive understanding of different information and communication technology (ICT) systems utilised for humanitarian disaster management is limited. Therefore, the paper follows a systems thinking approach to examine ten major man-made and/or natural disasters to comprehend the influence of ICT systems on humanitarian relief operations.

A longitudinal, multi-case study captures the use of ICT tools, stakeholders involvement, disaster stages and zones of operations for relief operations over the past two decades. A systems thinking approach is utilised to draw several inferences and develop frameworks.

Multiple ICT tools such as geographic information systems, online webpages/search engines, social media, unmanned aerial vehicles/robots and artificial intelligence are used for rapid disaster response and mitigation. Speed and coordination of relief operations have significantly increased in recent years due to the increased use of ICT systems.

Secondary data on the past ten disasters is utilised to draw inferences. The developed ICT-driven model must be validated during upcoming humanitarian relief operations.

A holistic understanding of a complex inter-relationship between influential variables (stakeholders, disaster stages, zones of operation, ICT systems) is beneficial for effectively managing humanitarian disasters.

Broadly classifying the ICT systems into surveillance, decision support and broadcasting systems, a novel ICT-enabled model for humanitarian relief operations is developed.

The case and discussion questions posed will allow the instructors the opportunity to introduce critical strategic concepts from strategic, nonprofit management and social enterprise literature. Specifically, (1) strategic transformation: countering drift and anticipating future trends and crises; (2) types of leadership: transactional versus transformational; (3) hybridity and mission drift; and (4) nonprofit funding models, the starvation cycle and the overhead myth.

Both primary and secondary sources have been used to prepare the case. The first two authors had the opportunity to interview Thomas Tighe, Direct Relief’s (DR) President and CEO in July of 2019. The interview lasted one hour and was transcribed by one of the authors and reviewed by the other two authors for accuracy. In addition, the authors conducted nonparticipant observations in DR’s headquarters in Santa Barbara (California). Given the longevity and media exposure of the organization, extensive internal and external archival data was also available for the analysis.

This real and undisguised case is based on DR, a +70-year-old humanitarian $1.2bn nonprofit organization headquartered in California (USA). From its headquarters in Santa Barbara, DR responds to emergencies and delivers medical support for vulnerable people affected by poverty, natural disasters and civil unrest in all 50 US states, six US territories including Puerto Rico and US Virgin Islands, and in more than 90 countries.

The case presents Thomas Tighe, DR’s President and CEO, reflecting in late 2018 on the transformation and growth that the organization had experienced since he started his tenure in 2000. Specifically, he is considering the most effective way to allocate an unrestricted recent cash donation. Should DR spend that money on traditional fundraising, reducing its efficiency rate, or should DR take a long-term approach and use the funds to build long-term capabilities? In addition, the case outlines the history and evolution of DR over its more than 70 years of existence, the CEO’s background and motivations, as well as a detailed description of the organization’s revenue portfolio. Students will have an opportunity to learn about a unique nonprofit named among “the world’s most non-for-profit organizations” by Fast Company; DR was also included in the Charity Navigator’s list of the “10 Best Charities Everyone’s Heard of.” In addition, in January 2009, DR was designated as a Verified-Accredited Distributor by The National Association of Boards of Pharmacy, which placed it as the first nonprofit to receive this designation to deliver prescription medicines to all 50 US states. Throughout Tighe’s tenure, DR had been lauded for its fundraising efficiency. The unique distinction to DR’s efficiency is its tradition of adopting new technologies and modern business practices for humanitarian purposes.

Students will learn how DR, under the leadership of Thomas Tighe, reinvented and reinforced the organization’s traditions to retain high levels of efficiency in the face of an ever-larger organizational scale, public scrutiny and demand for humanitarian support across the world. Students will witness many strategic and operational tenets that they may be more familiar with from the for-profit world. The case also will help students to understand the concept of hybrid organizations and different nonprofit funding models.

The case has been written to be used in graduate Nonprofit Leadership Management and Social Entrepreneurship courses. Given the scope and implications, the case could also be used on an upper-level strategy course. To maximize students’ learning, the case should be introduced halfway into the course after students have a solid understanding of what nonprofits are and how they operate. If students are not familiar with some of the concepts introduced in the analysis, the proposed readings will prepare them for a more fruitful discussion.

Although economists and academics have studied money laundering for several decades, there continues to be gaps in the research due to a lack of reliable data on money laundering activity, and a lack of detailed sources and methods of collection in government-based reporting. The purpose of this study is to apply the Walker-Unger gravity model and examine US-based money launderer preference for the 2000-2020 time frame. This paper then compares those results with previous applications of the model and identifies trends, which may serve as the foundations of a money launderer preference theory. The results of the investigation ranked countries by preference of US-based money launderers and determined that there was consistency in country destination preference even during recessionary periods.

The Walker–Unger gravity model as applied by Roman et al. (2021) is used to conduct the investigation, to maintain consistency in the application of the Walker–Unger model and further the objective of validating the attractiveness simulation. The model tests the predictive capability of the independent variables to establish the degree of attractiveness each country represents for the funds of US-based money launderers. A score is generated by the model, which is then used to analyze and interpret its significance in relation to all sampled countries.

Model results reveal the countries with the highest attractiveness for US-based money launderers during 2000–2020 were Australia, the Bahamas, Bermuda, Canada, Cayman Islands, Norway, Monaco, Puerto Rico, Switzerland and the USA. Model results show that over the two decades the proportion of money flow scores changed but not to a degree that would alter the country preference of US-based money launderers. US-based money launderers tended to use the same countries for their illicit financial activities, regardless of the state of the legitimate economy.

One of the limitations of the model is that it does not show the effect of money laundering on legitimate economic activity.

The model results will give insight into the preferred destination of US-based money launderers and therefore frame one component of money laundering activities in the USA for the examined time period.

A secondary objective of this study is to evaluate if any changes to US-based money launderer preferences occurred during the three most recent periods of economic downturn in the USA.

The model results will give insight into the preferred destination of US-based money launderers and therefore frame one component of money laundering activities in the USA for the examined time period. A secondary objective of this study is to evaluate if any changes to US-based money launderer preferences occurred during the three most recent periods of economic downturn in the USA. The periods chosen are the 2001 9/11 terrorist attacks, the 2007/08 global financial crisis and the COVID-19 pandemic.