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Evaluating the Role of Psychological Ownership, Value Congruity, and Brand Engagement in the Formation of Brand Attachment: A Study in the Context of Smartphone Users in Bangladesh
No full textThe study intends to examine the impact of brand psychological ownership, value congruity, and customer-brand engagement in the formation of brand attachment in the context of smartphones users in Bangladesh. The theoretical framework was developed by integrating psychological ownership theory and self-congruity theory and the theory of planned behavior. Data were collected by using Google form from 286 respondents currently residing in Bangladesh. The constructs considered in the study include brand psychological ownership (4 items), value congruity (4 items), customer-brand engagement (5 items), and brand attachment (5 items). All items were measured using 7-point likert scale and all constructs have shown internal consistency with Cronbach alpha greater than 0.70. The convergent validity of the measures was evaluated by using the AVE (Average Variance Extracted). The AVE greater than 0.5 indicated that convergent validity was ensured. No construct has HTMT (Hetero-Trait-Mono-Trait) ratio more than 0.90, so divergent validity of the constructs was also ensured. It was found that customer-based brand engagement can be explained by 40.60% by the constructs brand psychological ownership and value congruity and brand attachment can be explained by brand psychological ownership, value congruity, and customer-brand engagement by 72.30%. Future research may include other possible theoretical underpinnings to study the formation of brand attachment
Operations Management System at BanglaCAT
No full textThis report demonstrates the internship experience at BanglaCAT- Large Business Accounts division as a course of BBA program of United International University. This report describes all the learning, experience and conclusions of the internship program while working in BanglaCAT. Working in the Large Business Accounts department at Electric Power System, that's the reason for choosing the topic “Operational Management System at BanglaCAT”. There is an overview of BanglaCAT and the activities of the EPS department. The main purpose of the internship report is to provide meaningful information about the operational aspects of BanglaCAT and its EPS departments. An overview of the internship experience at BanglaCAT is provided in the first section. The
second section provides an overview of BanglaCAT's daily activities and how it operates both domestically and internationally.
Last but not least, the BanglaCAT EPS department at the Large Business Accounts division and its operations are examined in the discovery and analysis section. My 12-week internship experience and how BanglaCAT's operations function to increase sales, enhance customer service, and establish a positive impression on customers are all summed up in this report
Report on Internship experience at Global Brand PLC : The way Global Brand PLC Works
No full textDue to the latest discoveries and progress in technology, the pace of change in global and national landscape is much faster than ever. It is rapidly changing technological development industries, creating new trends, and making the business environment highly competitive. In the major areas that contribute significantly to the country's economic development, the Information Technology (IT) industry stands out. In such a competitive environment, organizations should not only upgrade their systems and services, but also invest in human resource development. One of the most effective ways to achieve this is through on-the-job training, especially for fresh graduates.
Internship programs play an important role in helping students to help infection in life, from educational learning to practical tasks. Through the structured on-the-job training, fresh graduates are introduced in the actual corporate environment, where they have the first experience in handling professional tasks and responsibilities. These programs help to develop communication skills, teamwork abilities, time management, problem-solution skills, and adaptability-key characteristics, which are essential in any workplace, especially in the rapidly developed IT region.
In Global Brand Private Limited (PLC), a major IT product distributor in Bangladesh, internship programs are designed to provide extensive risk to various departments including marketing, sales, customer service, product distribution and logistics. The intern has the opportunity to work with experienced professionals and is trained in using ERP software, inventory systems and customer relationship management (CRM) platforms such as enterprise tools. This practical learning experience enhances their confidence and enhances their technical.
Effective on-the-activity education additionally brings numerous advantages to the business enterprise itself. Interns often carry fresh views and new thoughts, that can cause process enhancements and innovation. Moreover, having nicely-trained interns can ease the workload of full-time personnel and make contributions to smoother operational workflows. Organizations like Global Brand PLC that spend money on based internship applications frequently witness advanced overall performance, improved productiveness, and a pool of potential future personnel who are already acquainted with the agency subculture and systems.
Additionally, such education and improvement efforts assist in developing a wonderful organizational image and building long-term skills pipelines. For the interns, the benefits are not just brief-term; they benefit talents that beautify their employability and prepare them for future activity opportunities. In conclusion, the reason of the internship at Global Brand PLC isn't just instructional achievement, however also practical boom and expert readiness. On-the-job training helps remodel fresh graduates into skilled experts, even as also contributing to the agency’s fulfillment in a competitive marketplace
Internship Report on Walton Internal Audit Process
No full textThis research explores Walton Plaza's internal audit and compliance structure, carefully examining its crucial role in guaranteeing operational effectiveness, strong risk management, and strict regulatory adherence in Bangladesh's vibrant retail electronics industry. The renowned retail chain Walton Plaza, which is a part of the prestigious Walton Group, has developed an advanced internal audit system that is carefully planned to support its overarching business objectives, foster an accountable culture, and unwaveringly uphold stakeholder trust. The study emphasizes how the business has carefully implemented a risk-based audit methodology, which is essential for assuring complete regulatory compliance, maximizing operational efficiency, and maintaining financial accuracy. The careful application of established audit procedures, complete compliance checklists, regular and in-depth reviews, and ongoing employee training programs are examples of key operating practices. I gained extensive practical knowledge in key areas such advanced data analysis techniques, systematic compliance monitoring, and practical auditing procedures during my intense internship in the Internal Audit and Compliance Department. In the end, Walton Plaza's strong internal auditing system greatly improves organizational transparency, proactively reduces possible risks, and establishes a model for Bangladesh's cutthroat electronic retail market. This study demonstrates how Walton Plaza's steadfast commitment to internal auditing not only increases operational efficiency and transparency but also painstakingly sets a new standard for auditing practices throughout Bangladesh's electronics sector
Pathao Courier: Transformation of the Courier Industry in Bangladesh
No full textThis report summarizes an enriching experience at Pathao’s Courier department, a leading startup of Bangladesh, which elaborated the contributions to various facets of the organization’s operations. Throughout the internship period, the role was actively involved in key initiatives including agents' acquisition, onboarding, payroll management, administrative operations and the execution of different marketing campaigns for the department that leads to gaining valuable insights into the dynamic world of business and logistics. The paper begins with an introduction of Pathao including an overview of the company's history, objectives and the Pathao Courier’s current state. The internship objectives are written in more detail below, which lists the specific things on which we worked and wanted to learn and execute in the tenure. A big part of the report is dedicated to listing the different tasks and duties such as agent payroll process, payroll settlements, administrative activities, coordinating and communication between
departments and lastly learning about the overall central operations. The narrative goes into great detail about the work on these projects, including what I learned, the problems I solved and how the contributions affected the whole organization. As part of the
research, this report describes our thoughts on industry trends and looks at how the company works. This in-depth analysis is made better by strategic discussions and suggestions for improvements. During the tenure, we learned about the logistic needs of
businesses, improved some professional skills and helped Pathao Courier reach its departmental goals. This executive summary is a condensed version of the whole report and includes an outline of works, experiences and what makes Pathao exceptional
working place for new learners
TeacherActivityNet: A Personalized Assistive System for Enhancing Cognitive Support and Improvement of Work-Life Balance in Academic Settings
No full textThis research establishes a new idea that supports cognitive enhancement and work-life balance for academic office-based faculty members. The improvements in computer vision led to the creation of work-based wellness solutions which assist educational settings to manage their staff’s mental health requirements between intellectual requirements. Workload management methods and self-evaluation approaches from traditional times demand significant manual efforts while creating efficiency problems thus demonstrating the value of automated video-based support systems as better alternatives. Scientists have achieved notable improvements in Human Activity Recognition (HAR) detection yet studies about HAR based personalized workplace support systems designed for faculty office use are scarce. Current research examines student performance in classrooms rather than providing essential support for faculty cognitive processes and wellbeing. Therefore there exists an important deficiency in cognitive and wellbeing assistance for educators. The paper fills this gap through TeacherActivityNet, our proposed model with the help of newly created Workplace Activity Recognition Dataset which represents a new video database designed to detect nine different faculty office activities such as Arriving, Counselling, Eating, Idle, Leaving, Sleeping, Talking, Using Phone and Working. We adapted the YOLOv8n architecture to develop TeacherActivityNet for our model implementation that achieved 0.841 mAP50 through fine-tuning with our generated dataset. Comparison against existing systems reveals that TeacherActivityNet brings potential advantages to personal assistive systems by supporting better academic cognitive performance and life-work balance within educational institutions
Spatial Information Based Imputation for Spatially Resolved Transcriptomics Data
No full textNew technologies in Spatially Resolved Transcriptomics (SRT) Data have achieved
near single-cell resolution while consisting of spatial data that has an immense impact
in discovering various biological insights. High-resolution SRT data are sparse and contain
dropouts, which may hinder the accurate interpretation of spatial domains. Hence,
computationally available imputation methods are often necessary to impute the dropouts
from such datasets. Numerous state-of-the-art (SOTA) imputation methods already exist
that are used in general tabular data, dedicated single-cell RNA data, as well as the SRT
datasets. However, there is no benchmarking of these imputation methods on these newer
SRT technologies’ datasets. In this work, we select seven SOTA imputation methods and
provide detailed benchmarking results on five SRT technologies consisting of 23 datasets.
We show that there are no single imputation methods that consistently outperform others,
demonstrating poor imputation capability in most cases, and also poor performance
in identifying valid dropouts. Thus, analyzing these SOTA methods’ performance, we
propose a new imputation method, ‘SpaMean-Impute’, designed for SRT datasets that
utilize spatial information while mitigating dropouts. Furthermore, the proposed method
can detect valid dropouts, unlike the SOTA benchmarked methods. Due to integration
of spatial information-based dropout location detection, ‘SpaMean-Impute’ only imputes
a valid location while preserving the inherent biological relations of the datasets, unlike
SOTA methods. Our proposed method outperforms the SOTA imputation methods across
evaluation metrics such as: Adjusted Rand Index(ARI), Normalized Mutual Information
(NMI), Adjusted Mutual Information(AMI), and Homogeneity (HOMO). In case of ARI,
the proposed method outperforms the SOTA methods on average 16.15%, whereas 18.45%
improvement in NMI, 18.96% improvement in AMI, and 13.98% improvement in the case
of HOMO. Furthermore, the proposed method is computationally efficient compared to
other SOTA methods. For example, compared to the SOTA deep-learning-based imputation
methods, the proposed method is approximately 33 times faster and requires, on
average, 1500 MB less memory during imputation
Pedestrian Eyes: An AI-Powered Framework for Real-Time Pedestrian Detection and Safety Analytics in Dhaka
No full textThe pedestrian environment in rapidly urbanizing cities such as Dhaka presents acute
safety challenges due to high densities, informal crossings, encroached sidewalks and
limited monitoring infrastructure. This paper presents a comprehensive system that
integrates computer vision (pedestrian detection, multi-object tracking, re-identification
and event detection) with an NLP-powered public-sentiment analysis module, targeted at
pedestrian safety and flow monitoring in Dhaka. A lightweight detector is fine-tuned for
local conditions, a tracker and re-id pipeline supports cross-camera flow analytics, and a
public-sentiment module mines social media and local news to prioritize intervention
zones. The system is designed for edge-server hybrid deployment, emphasizes privacypreserving data handling and produces policy-relevant dashboards (counts, heat-maps,
alerts). Preliminary experiments on urban footage show detection precision of ~85 %,
tracking IDF1 = 72 %, and sentiment analysis accuracy of 78 %, demonstrating viability
for municipal deployment and infrastructure planning within Dhaka city
Visual Product Search System for an E-Commerce Website using Python
No full textintroduce a thorough study and development of a Visual Product Search System for an E-Commerce Website using Python utilizing recent advances in deep learning. The platform allows the users to input pictures instead of text and thus achieves more friendly experiences, overcoming the limitations of traditional keyword-based search.
The methodology can be recapitulated as composed by two-step process: building-offline database, and searching-online. The offline process is executing the product images which get into background removal based on U²-Net architecture to trim out the dominant product, then extracting characteristics by pre-trained ResNet-50 model getting 2048-dimension feature vectors. These descriptors are cached in an efficient database form for quick access. In the online search phase, query images are fed into the same pipeline, followed by similarity matching with FAISS (Facebook AI Similarity Search) library under cosine similarity.
I performed intensive experimental validation on a dataset of more than 1,000 product images from seven different categories such as watches, headphones, shirts, pants, helmets, cutlery and water bottles. The system performed quite well with Top-1 retrieval accuracy of 89.76% over training data, 82.49% over the validation data and 82.69% on test queries was achieved. Top-5 accuracy was above 97% in all datasets, proving the system to be a robust one. I observed the Mean Average Precision (MAP) consistently more than 0.60, and the Mean Reciprocal Rank (MRR) above 0.88 for validation and test sets during this time period.
Some interesting results are that with background removal, the glean from search can effectively enhance search precision by mitigating noise and highlighting key product parts. Transfer learning from ImageNet-pretrained network, ResNet-50 was quite efficient, thus sparing the necessity of training on large domain-specific data. Category based analysis showed that categories with clear visual characteristics (watches, water bottles) were more accurately recognized than those with high intra-class variation (clothing).
To the best of my knowledge, this work is the first to propose a full VSP for e-commerce website applications. The contributions of this work are as follows: (1) I have presented an end-to-end visual search system specifically designed for e-commerce applications, (2) I have performed
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extensive evaluation analysis in terms of not only retrieval accuracy results but also various metric such as recall-vs-enumeration time curve and its counterparts for each product category, (3) I have achieved actual implementation with web-based Frontend interface necessary for practical usage in real world scenario and, (4) I analyze how different factors affect the performance of VSP based on two diverse types of product domains.
For future work, I can explore more search modalities such as multi-model text-visual query combination, attention mechanism for fine-grained feature extraction, cross-domain transfer learning and mobile-efficient version for processing on-device. The system shows great commercialization value and has cleared the way for future visual search applications in e-commerce
Assessing training and development need of Banking sector in Bangladesh.
No full textThis study investigates the critical training and development needs within the banking sector of Bangladesh, a sector undergoing rapid digital transformation and facing evolving regulatory demands. The primary objective was to assess the effectiveness of current training programs, identify significant skill gaps, and understand employee perspectives on organizational support for professional development. Utilizing a quantitative research approach, data were collected via a structured questionnaire from 125 employees across five major banks, representing both public and private ownership models. The findings reveal a strong preference for practical, on-the-job training, yet highlight a concerning reliance on traditional methods with limited adoption of digital learning platforms. A significant skill gap persists, particularly in areas of digital banking, leadership, and financial analysis. While a majority of employees acknowledge the positive impact of training on their performance and career growth, challenges such as a lack of time, irrelevant content, and insufficient organisational investment hinder its full potential. The study concludes that Bangladeshi banks must strategically realign their training initiatives to be more agile, technology-driven, and closely linked to both business objectives and employee career pathways to remain competitive. Recommendations are provided for enhancing training efficacy, infrastructure, and strategic alignment