The Asian Institute of Management (AIM) is an international management school and research institution. It is one of the few business schools in Asia to be internationally accredited with the Association to Advance Collegiate Schools of Business (AACSB). It was established in partnership with Harvard Business School and uses the Harvard Business School case study teaching methodology. Prof Stephen Fuller of the Harvard Business School was its first President, to be succeeded by another professor from Harvard. It was described by Asiaweek magazine (a Time Inc. publication) as the best in the Asia-Pacific region in terms of executive education.
Transnational education (TNE) programmes frequently encounter tensions between maintaining academic rigour and addressing local contextual realities. This case study examines a part-time dual-award MSc in Financial Technology (FinTech), jointly delivered by a UK public university and a private higher education institution (HEI) in the Philippines. Framed through the glonacal agency heuristic, the paper explores how curriculum design and delivery are shaped by global academic standards, national regulatory frameworks and local student needs. Drawing on institutional reflections and student feedback, the study analyses the programme's adaptive curriculum strategy, quality assurance mechanisms and industry-aligned content. The dual-award structure, where each institution confers its own qualification, requires careful coordination to meet the standards of the UK's Quality Assurance Agency (QAA), the UK's Office for Students (OfS) and the Philippines' Commission on Higher Education (CHED). Findings reveal that local agency plays a decisive role in ensuring contextual relevance, particularly for the challenges faced by mid-career professionals balancing part-time study with urban constraints. The paper contributes to the TNE literature by illustrating a practical model of cross-border delivery that integrates academic compliance, student responsiveness and collaborative governance.
The rapid growth of e-commerce has transformed global commerce, providing consumers with convenience and choice while reshaping business operations. However, challenges persist, including cultivating repeat purchases and addressing concerns about local businesses. Data from 438 online consumers were collected through an online survey, with preprocessing involving outlier detection, missing value handling, and feature selection. This study classified factors affecting repurchase intentions among online shops using artificial neural networks (ANN) and compared it with random forest, XGBoost, and LightGBM. The findings revealed that the Levenberg-Marquardt Algorithm, particularly when implemented with an 85:5:10 ratio and 10 hidden layers, consistently demonstrated strong predictive performance, supported by high R2 values. Additionally, the LSTM model exhibited a low root mean square error, indicating accurate predictions of repurchase likelihood, ranging from 4 to 4.5. The accuracy and reliability of the predictive models contributed to understanding consumer behavior in online shopping where businesses can utilize these insights to enhance customer retention and sustainable growth. Results implicated how reviews and ratings, as well as purchasing behavior and satisfaction were significant variables affecting repurchase intention. It could be deduced that the importance of perceived authenticity, credibility, and relevance of online feedback from other customers; security of transactions, assurance of high-quality products, and effective customer service also plays a pivotal role in influencing their decision-making process. The study’s findings could be applied across industries, emphasizing ongoing research and innovation to navigate the ever-changing online commerce landscape.
Being a dominant form of business organization in the Philippines, the contribution of family businesses in creating job opportunities cannot be undermined. As such, the discourses on the various facets, and functional areas in family business organization have grown. While this is the case, the gender, relationship, and emotional intelligence dimensions of family business dynamics in the Philippines have not been thoroughly studied. Hence, by subjecting survey data to non-parametric techniques, we seminally probed on whether gender and relationship explains emotional intelligence. Results revealed that our variables of interest are independent, which is contrary to literature. We argued that emotional intelligence is unpredictable, unstable, learned, taught, and acquired. Thus, because emotional intelligence is hinged on understanding one’s emotion and emotion of others, family business owners must devise ways to use and regulate these emotions toward broader goals of maximizing family wealth and sustaining the family business.
In the 1990s when environmental security first gained mainstream prominence, environmentally-minded academics viewed the involvement of the military in this agenda negatively. Nowadays, academics seem more willing to accept a role for the provision of climate security. Drawing on lived experience, observation, and readings of the literature, this article advances a series of propositions that together aim to examine whether there really is a change in perception of the military among environmental security scholars, and, if so, why it occurred. The propositions' relative explanatory value is established via a literature review and cross-referenced with informal interviews with scholars in the field. The article ends by warning that these developments ought not breed complacency on the role of the military in this space. It is suggested that many of the articles in this special issue demonstrate how being critical is reconcilable with a more positive view of the military.
Parking facilities are a major source of commercial revenues for airports. Our paper identifies and analyzes key factors that impact parking revenues and the provision of parking facilities at the 10 largest European airports, based on data from 2011 to 2019. The econometric model consists of two equations due to the endogeneity of the number of parking spaces in the airport ‘parking revenue’ equation. We estimated the system of equations simultaneously using the generalized method of moments based on the Newey-West covariance estimator using the fixed effects model. The results indicate that the number of passengers, parking spaces, and parking fees impact airport parking revenues positively. The airport's catchment population impacts the number of airport parking spaces positively while the availability of alternative parking sites near the airport, the number of bus lines or routes serving the airport, a proxy for the ease of traveling to and from the airport, and an ownership structure that is majority private-owned tend to impact the number of parking spaces negatively.
