Authors - Sachin Ramling Jadhav, Rajveer Nandkar, Srushti Rajput, Rajvardhan Desai, Gunjan Ramteke,Samruddhi Rajput Abstract - Dealing with city problems like cracked roads, trash piles, leaks in pipes, or dark lamp posts keeps urban teams busy. When fixes depend on old paper methods, pieces of info get lost, trust dips, responses drag. A new setup steps in - CCIRS - running through a basic website made with PHP tools. Instead of guessing what comes first, supervisors follow a clear score called PI, shaped by how bad things look, where many reports cluster, plus how long issues wait. Behind the scenes, staff watch live updates, study trends, trace progress using their control view online. Half a year of testing in three city areas of Pune cut response times by 59.0%. Because of this change, meeting service targets got better by nearly half. Old ways of handling issues were clearly outperformed. Math behind sorting locations was built and tested. Ranking urgency used formulas that matched real outcomes well.
Authors - Mrityunjaya Chavannavar, Melita Simoes , Nikhil Shetty , Chirivella Vishal Abstract - Over the years, there is a rapid growth of social media-based financial content. Finfluencers have been emerging as influential sources that provide investment information to young retail investors. This research is inclined towards understanding the influence of finfluencers on numerous behavioural biases that include herd mentality, overconfidence, and FOMO. This study also examines their influence on decision-making when it comes to investments and the overall risk perception in the current digitally enabled investment landscape. There is interplay between social media platforms, financial influencers, and behavioural biases and can be observed among young retail investors in India. Most traditional theories in finance assume that a majority of investors behave rationally while behavioural finance acknowledges the impact of cognitive and emotional biases influence investment decisions. This quantitative study makes use of a descriptive-analytical approach. The primary data used here was gathered with the help of structured online questionnaires distributed to 120 young retail investors. Data analysis was carried out with the help of IBM SPSS Statistics. Tests such as correlation analysis, multiple regression models, and ANOVA with post-hoc Tukey HSD were undertaken. Findings showed that general social media usage frequency had no significant relationship with the four behavioural biases examined. Perceived credibility of finfluencer content demonstrated significant negative relationships with all four biases (overconfidence: β = -0.387, p = 0.001; herding: β = -0.252, p = 0.044; confirmation: β = -0.321, p = 0.006; availability: β = -0.354, p = 0.003). This indicates that high-quality financial influencers may serve a corrective rather than amplifying function. Indiscriminate following of numerous finfluencers positively predicted confirmation bias (β = 0.191, p = 0.025). Investors with over five years of experience revealed significantly lower biases. This study can be used for better investor protection, and financial literacy initiatives and can be embedded in various regulatory frameworks.
Authors - April L. Macasieb-Gumnad, Roberto M. Arguelles Abstract - The study focuses on transformational leadership, entrepreneurship, and sustainability in higher education. Using Saint Louis University (Philippines) as a case study, the purpose was to (1) identify the role transformational leadership has in developing (or affecting) the characteristics of an entrepreneurial university, (2) identify how transformational leadership fosters sustainable innovation, and (3) assess the effect entrepreneurial university characteristics have on achieving sustainable outcomes. This quantitative research used three different instruments that were previously validated (HEInnovate Questionnaire; Sustainability Assessment Questionnaire; and Survey of Transformational Leadership) to gather data from a sample of 795 respondents at SLU and analyzed the resulting data using Spearman-rank correlation analysis and simple linear regression. This study provided practical applications to the literature on higher education management through empirical evidence of relationships between types of leadership styles, achievement of SDGs, organizational structures/models/characteristics, and sustainability of innovation in higher educations.The SLU CARES Innovation Framework was proposed to provide actionable insights for academic and administrative leaders seeking to align Catholic educational missions with contemporary demands for innovation and sustainability.
Authors - Darrel A. Cardana, Ethel Zean M. Anosa, Angeline B. Elegio, Jes Maries Mendez, Ivy Corazon Mangaya-ay Abstract - Agri-Aqua Technology Business Incubators (ATBIs) play an important role in promoting innovation, entrepreneurship, technology commercialization, and institutional collaboration within higher education institutions. This study assessed the operational performance and institutional development of the BISU Agri-Aqua Technology Business Incubator (ATBI). Specifically, the study evaluated the accomplishments of the incubator in terms of personnel capacitation, partnership and linkage development, awareness and promotional activities, incubation services, technology incubation initiatives, intellectual property generation, and policy institutionalization. The study also examined the capacitybuilding activities, partnership initiatives, intellectual property outputs, and the problems and strategic solutions encountered during implementation. The study employed a descriptive-evaluative research design utilizing documentary analysis of the official accomplishment report and supporting institutional documents of the BISU ATBI. Frequency counts, percentage analysis, and thematic analysis were utilized in analyzing the collected data. The findings revealed that the BISU ATBI successfully implemented several operational and institutional initiatives. The incubator conducted seventeen (17) trainings and workshops, forged twelve (12) MOUs with incubatees and six (6) institutional partnerships, conducted eight (8) awareness seminars, developed ten (10) business plans, filed ten (10) trademarks and five (5) copyrights, and enrolled seventeen (17) incubatees in the incubation program. However, only two (2) technologies were successfully co-incubated despite the target of ten technologies, indicating challenges in technology commercialization and adoption. The study also identified regulatory hurdles, technology readiness concerns, partnership issues, and low technology adoption as major implementation challenges. Overall, the findings indicate that the BISU ATBI established a strong operational and institutional foundation for technology business incubation, although continuous enhancement of commercialization and technology adoption initiatives remains necessary.
Authors - Nguyen Quoc Cuong, Nguyen Ha, Mai Thi Bich Ngọc Abstract - The proliferation of short-form video platforms has reshaped consumer decision-making, yet how electronic word of mouth (eWOM) attributes influence Generation Z fashion shopping intention in emerging markets remains underexplored. Grounded in the Information Adoption Model (IAM) and Attitude–Intention framework, this study examines the impact of TikTok-based eWOM on fashion shopping intention among Vietnamese Generation Z consumers. Using PLS-SEM analysis of 263 valid survey responses, results reveal that eWOM Information Quality and Credibility significantly predict Attitude toward eWOM, while Information Usefulness is the strongest predictor of eWOM Adoption; Information Quantity exerts a positive but weaker effect. Both Attitude and Adoption significantly influence Fashion Shopping Intention, with Attitude as the dominant predictor, and mediation analysis confirms their roles as key intervening mechanisms. These findings extend the IAM to short-form video and social commerce contexts, demonstrating that Generation Z engages in evaluative, quality-oriented content processing rather than responding passively to volume. Practically, results offer actionable guidance for fashion marketers to prioritize authentic, credible, and informative eWOM strategies on TikTok.
Authors - Rakhmonova Nargiza Rashidovna, Rajapov Shukhrat Zaripbaevich Abstract - The growing volume of international trade is increasing pressure on road border customs posts, making their operational efficiency a key factor in facilitating foreign trade. Chronic congestion, long vehicle queues, and procedural delays at land border crossings hinder logistics efficiency and increase trade costs. Digitalization is increasingly viewed as a strategic solution for modernizing customs administration while ensuring effective control and economic security. This study examines ways to further improve the efficiency of road border customs posts through digitalization, using the case of Uzbekistan. The analysis is based on data from 322 road border customs posts and employs economic and statistical methods, including regression analysis and structural equation modeling (SEM). The model assesses the impact of human resources, infrastructure capacity, and digital inspection technologies—specifically, the number of employees, traffic lanes, inspection and verification complexes (ISC and Z-portal), passenger flows, and reported violations—on daily vehicle traffic volumes. The results consistently show that human resources are the most significant factor in customs post efficiency. An increase in the number of employees has a strong and statistically significant positive effect on daily vehicle flow across all parameters of the model. In contrast, the expansion of physical infrastructure, measured by the number of traffic lanes, shows a negative or weakly significant relationship, indicating that infrastructure alone does not guarantee increased throughput. Digital control systems show a positive but statistically insignificant effect, suggesting incomplete integration into operational processes. The results indicate that to achieve significant efficiency gains, digitalization must be combined with effective human resource management and organizational optimization. Policy measures should prioritize capacity building, intelligent traffic management, and deeper integration of digital systems to reduce congestion, speed up logistics, and improve conditions for foreign trade.
