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This paper investigates the integration of middle mile drones (MMD) into logistics operations, addressing two key questions: (1) What are the drivers, financial implications and upcoming innovations associated with integrating drones into MM logistics? and (2) What challenges need to be overcome for successful implementation of drones in MM logistics?

The study combines expertise from an industry professional with over ten years of experience in drone operations and logistics applications, along with insights gained from discussions with 33 industry executives.

The research identifies several unique advantages of integrating drones into MM logistics, including their potential to improve operational efficiency in challenging environments. However, significant challenges related to scalability, evolving airframe designs and operational constraints remain. Early-stage use cases demonstrate the viability of MMD technologies in lower-risk logistics environments, but broader implementation requires overcoming the identified challenges.

As MMD logistics is a nascent field, the study is exploratory and based on early-stage use cases and expert discussions. The limited scope of practical implementations may restrict the generalizability of the findings. Future research should focus on larger-scale operations and empirical studies of MMD integration in diverse logistics contexts.

The findings offer valuable insights for practitioners related to the costs, benefits and challenges of integrating drones into logistics operations and for policymakers related to societal implications, workforce development, privacy and safety concerns, and environmental impact.

This paper contributes to the evolving understanding of drone applications in MM logistics by presenting early use cases and identifying both challenges and opportunities for MMD technology and offers a foundation for future research and practice in this emerging domain.

This study aims to delve into economic cybercrime within the African diaspora, with a specific focus on Ghanaian nationals residing in the USA. It aims to shed light on the nuanced and unique approaches that diasporic actors adopt to execute economic cybercrimes, especially online frauds.

Drawing on press releases and official indictments collected from the U.S. Department of Justice, the study adopted content analysis. Through this approach, the study outlines its findings

The analysis reveals patterns in economic cybercrimes among Ghanaians abroad. Notably, the findings suggest that diasporic individuals often work with local accomplices to perpetrate various economic cybercrimes, with money laundering being particularly prevalent among those living outside their home country. This underscores the profound influence of geographical location on the choice of cybercriminal activities. Moreover, the research reveals that diasporic actors use several tactics, including adopting false identities to interact with victims and the creation of sham companies for laundering money. Additionally, demographic characteristics such as age and gender seem to significantly influence the involvement of diasporic individuals in economic cybercrimes.

The research was primarily based on press releases and official indictments within the USA. Although these sources offer substantial insight into the rise of cybercrime among Ghanaian diaspora members, their focus on specific data types and geographical regions might constrain our comprehension of the nuances of this phenomenon, particularly across various diasporic groups and regions. Hence, future research could enhance our understanding by conducting fieldwork, not just in the USA but also in other areas using primary data to delve deeper into the issue of cybercrime within the diaspora.

The study’s findings have implications for individuals, organizations and policymakers alike. By understanding the strategies of economic cybercrime offenders, as demonstrated in this research, individuals can be better equipped to navigate digital technologies for both personal and business purposes. Moreover, policymakers and government agencies can use these insights to develop policies aimed at mitigating the spread of economic cybercrimes, particularly within diasporic communities.

The paper stands out for its innovative approach and scope. While numerous studies have explored cybercrime activities, the prevalence among diasporic actors remains underexamined. Through its methodology and scope, this paper opens avenues for further research into the phenomenon of cybercrime within diasporic communities.

This study aims to examine the effects of dialect connectedness between the chairman and the chief executive officer (CEO) (DCCC) on the tunneling activities of controlling shareholders.

This study uses abnormal related-party transactions (ARPT) as a proxy for tunneling activities and traces dialects of chairmen and CEOs based on the respective birthplace information. Baseline results are examined using a fixed-effects model. The results remain robust when using the instrumental variable approach, propensity score matching (PSM) technique, changing the measurement of tunneling and Heckman two-step selection model.

The results show that DCCC reduces tunneling activities. This negative association is more pronounced for non-state-owned enterprises and firms whose chairmen and CEOs work in the respective hometowns. DCCC restrains tunneling activities through mechanisms by establishing an informal supervisory effect on CEOs because the CEOs fear reputational damage and strengthening cooperation between chairmen and CEOs. Further analyses suggest that this negative association is more significant when chairmen and CEOs are non-controlling shareholders, but the association is weakened during the coronavirus disease 2019 (COVID-19) crisis.

As dialect is a carrier of culture, this study's results imply that cultural proximity can replace formal mechanisms to enhance corporate governance.

This study aims to adopt a systematic review approach to examine the existing literature on law and LLMs.It involves analyzing and synthesizing relevant research papers, reports and scholarly articles that discuss the use of LLMs in the legal domain. The review encompasses various aspects, including an analysis of LLMs, legal natural language processing (NLP), model tuning techniques, data processing strategies and frameworks for addressing the challenges associated with legal question-and-answer (Q&A) systems. Additionally, the study explores potential applications and services that can benefit from the integration of LLMs in the field of intelligent justice.

This paper surveys the state-of-the-art research on law LLMs and their application in the field of intelligent justice. The study aims to identify the challenges associated with developing Q&A systems based on LLMs and explores potential directions for future research and development. The ultimate goal is to contribute to the advancement of intelligent justice by effectively leveraging LLMs.

To effectively apply a law LLM, systematic research on LLM, legal NLP and model adjustment technology is required.

This study contributes to the field of intelligent justice by providing a comprehensive review of the current state of research on law LLMs.

Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning.

For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared.

The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models.

This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.

Climate change has become one of the “hottest picks” so to speak, not only in academic circles but in the world of mainstream media, too. Yet exactly a much more scientific approach is required to distinguish real concerns from sensationalist fake news which so often find their way into newspapers, radio, or television. Academia must refrain from copying non-fact-based (hypo-)thesis as climate change is too serious an issue as well. The approach of “build, shop, work differently” should lead to implementing the concept of self-contained and sustainable neighborhoods; reducing unnecessary daily individual traffic reduces avoidable pollution. We shall address the intertwined issue of whether or not elected office holders should propose such a change in consumer attitude, or if civil society itself would manage to first create the required awareness, then act accordingly. Introducing Slow Cities and Smart Cities leads to the major argument: not only working or shopping near to where we live is important but re-considering whether society should really depend on imported foodstuffs having been transported thousands of miles by air or sea, then lorry, or not better switch to a much more regional, environmentally friendly way of meeting ones' daily needs not to reject globalization per se but to create a regionalized, climate friendly variety of it. Finally, restructuring supply chain logistics might be a key development needed to successfully tackle and combat climate change on a global scale.

The data used to present this case was collected from secondary data sources. These sources included media reports associated with Michael Jordan and his trajectory since entering the sport, as well as specific information published about his time at the Chicago Bulls. Another key source of information is the ESPN documentary conducted specifically on Jordan’s relationship with his National Basketball Association (NBA) team.

The case follows the story of Michael Jordan, who took his team, the Chicago Bulls, to fame in a rather controversial manner. To do so, Michael Jordan had to alter his leadership style over the years to be respected as a leader and motivate his team to win one NBA championship after another. On 20th April 2020, ESPN’s “The Last Dance”, a 10-part documentary about Michael Jordan and his time playing for the Chicago Bulls was released to much acclaim. The documentary became highly noted as Jordan himself, both directed and starred in the documentary. Jordan’s great achievements stood out, but so did the conflicts that the basketball star had with The Bulls’ management team and mainly, his teammates. Relationships between teammates were far from harmonious, which led to questions around whether Michael Jordan was as good a leader, as he was a star player. Cultural change within the organisation was primarily linked to the often-contested leadership of Jordan.

The case can be used at UG, MSc and MBA levels. It works for in-person teaching and for online teaching. It is most suitable in leadership, strategy and strategy in practice courses. However, it is critical to note that the case can shed light on the dynamics that leaders and teammates have within their teams. Therefore, this case may be valuable to students studying courses where they themselves must work in groups and oftentimes encounter challenges in managing their team. These challenges can arise at all levels of experience. As such, the case provides particularly useful reflection for decision makers who may be beginning to develop their leadership skill (UG), those who have already experienced working in teams (MSc) or leading teams themselves (MBA, Executive MBA). The case addresses the challenges associated with achieving high team motivation and performance. It also sheds light on the challenges associated with leading a cultural change within a team and the approaches of different actors involved. It may be best to introduce the case in the context of a (1.5–2 h) workshop once students understand the basic frameworks and tools used to analyse leadership styles and their characteristics.

This study aims to test the effect of Seattle’s discontinuous sidewalk requirement, on the number of housing units per construction permit.

This study uses discontinuity linear regression (DLR) on a database of Seattle’s housing construction permits during January-2015 to January-2018, controlled by 51 socioeconomic, planning and geographic variables. The sidewalk requirement is continuous inside the designated urban villages; however, it is spatially and quantitatively discontinuous in the rest of the city: certain blocks at certain locations require sidewalks’ design and construction in permits with six or more housing units. DLR detects the effect of the discontinuity while controlling for a vast array of confounding variables.

The primary finding is that the discontinuous requirement reduces the number of housing units in about 75% of a housing unit per permit, which at the aggregate level amounts to around 335 fewer housing units during the period of analysis.

The database is relatively small, which has limited a more thorough specification process and robustness tests.

Besides directly testing the effect of a discontinuous in-kind development contribution, the research setup allows to discuss a wider, more structural problem: the possibility of contributions avoidance due to spatial substitution. In contrast, spatially continuous (i.e. city-level) contributions cannot be avoided by performing spatial substitution, and they are internalized by the housing supply side (market-neutral).

The case was developed from two 2-h interviews with the Chief Operating Officer of A-Basin, Alan Henceroth; there is no CEO of A-Basin. The second interview was recorded on a Zoom call to provide accuracy of quotations and information. A variety of secondary sources were used in terms of better understanding the current state of the ski industry, as well as its history.

Arapahoe Basin (A-Basin) is a historic, moderately sized, ski area with proximity to metropolitan Denver, Colorado. For over 20 years A-Basin partnered with Vail, allowing skiers to use the Vail Epic Pass, for which A-Basin received some revenue from Vail for each skier visit. The Epic Pass allowed pass holders unlimited days of skiing at A-Basin. More and more skiers were buying the Epic Pass, thus increasing the customer traffic to A-Basin. However, the skier experience was compromised due inadequate parking, long lift lines and crowded restaurants. The renewal of the contract with Vail was coming due, and A-Basin had to consider whether to renew the contract with Vail. The case is framed primarily as a strategic marketing case. The authors use Porter’s five forces model to assess the external environment of A-Basin, and the authors use the resource-based view and the VRIO tool to assess A-Basin’s internal strengths. Both frameworks provide useful analysis in terms of deciding whether to continue A-Basin’s arrangement with Vail or end the contract and pursue a different strategy. In 2019, after consultation with the Canadian parent company Dream, A-Basin made the decision to disassociate itself from the Epic Pass and Vail to restore a quality ski experience for A-Basin’s customers. No other partner had ever left its relationship with Vail. An epilogue details some of A-Basin’s actions, as well as the outcomes for the ski area. Generally A-Basin’s decision produced positive results and solidified its competitive position among competitors. Other ski areas have since adopted a similar strategy as A-Basin. A-Basin’s success is reflected in a pending offer from Alterra, Inc., to purchase the ski area.

The A-Basin case can be used in both undergraduate and graduate strategic (or marketing) management courses. It is probably best considered during the middle of an academic term, as the case requires students to apply many of the theoretical concepts of strategy. One of the best books to enable students to use Porter’s five forces is Understanding Michael Porter by Joan Magretta (Boston: Harvard Business Review Press, 2012). Magretta was a colleague of Porter for many years and was an Editor of the Harvard Business Review. For a discussion of the VRIN/VRIO concept, see Chapter 4 of Essentials of Strategic Management by Gamble, Peteraf and Thompson (New York: McGraw-Hill Education, 2019).