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Role of Social Media in Promoting Ecotourism

Keywords ECOTOURISM, SOCIAL MEDIA, PROMOTION, INDIAThe research aim is to assess the impact of social media on boosting ecotourism in India. The subject of the research is impact of social media on improving the attractiveness of ecotourism in India. The object of the research is ecotourism in India. Research objectives are as follows: to conduct theoretical analysis regarding the social media and their impact on promoting ecotourism; to conduct industry analysis regarding the ecotourism in India; to develop an empirical research methodology and complete survey and interviews regarding the impact of social media on ecotourism attractiveness; to provide recommendations for the managers involved in ecotourism aimed at improving the attractiveness of ecotourism by means of social media. The results show that there is a significant social media role in transforming the landscape of tourism, particularly in the context of sustainable tourism and ecotourism promotion. The social media inspire people to choose ecotourism if the content is engaging, visually rich and including practical information; they serve as a source of information providing details about destinations, available activities, accommodations and transportation options, and impact decision-making.

Author: Navjot Kaur

Supervisor: Yulia Stukalina

Degree: Master

Year: 2024

Work Language: English

Study programme: Business and Management

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Assessing the Viability of Natural Language Processing Applications within an Electronic Checklist
System for Freight Forwarders: Rule-based Information Extraction from Cargo Descriptions.

This study investigates the application of Natural Language Processing (NLP) within electronic checklist systems to enhance cargo description and securing practices for freight forwarders. The logistics industry faces significant challenges due to complex and varied legislation and the need for autonomous validation tools for cargo securing. This research aims to develop a rule-based Named Entity Recognition (NER) model to standardize and automate the extraction of entities from cargo descriptions. Key components of this study include the development of an entity extraction mechanism using regular expressions and standardized codes. The research demonstrates the potential of NLP solutions to generate precise, dynamic checklists from detailed cargo descriptions, ensuring that all pertinent tasks are covered. The developed NER model's effectiveness is evaluated through a series of experiments, showcasing high precision, recall, and F1 scores, thus highlighting its practical applicability in real-world logistics operations. The findings underscore the importance of standardizing cargo-related information to facilitate the broader adoption of automated NLP solutions in the logistics industry.

Author: Nikita Mickevičs

Supervisor: Dmitry Pavlyuk

Degree: Professional Bachelor

Year: 2024

Work Language: English

Small object search with RFID tags

This bachelor's thesis focuses on the development of a device for locating small-sized objects using RFID technology. An analysis of existing RFID technologies and their applications was conducted, which led to the selection of ISO 15693 and ISO 18000-3 standards for the development of the small-sized object locating device. Experimental results were obtained to study the detection capabilities of RFID tags under various conditions using the HBE-RFID REX setup. Structural, functional, and circuit diagrams of the device were developed based on the selected components: the TRF7970A RFID module from Texas Instruments, ID ANT310/310 antenna, ATXMEGA64D3 microcontroller, LM041L LCD screen, matrix 3x2 keyboard, LP9960115 battery, 2 LED indicators (red and green), and DC-DC buck converter (LM2596). Algorithms for the device's operation were developed for searching known tags, displaying saved tags, and searching for new tags, along with the corresponding software codes.

Author: Nikita Ostroveņecs

Supervisor: Aleksandrs Kraiņukovs

Degree: Bachelor

Year: 2024

Work Language: English

Increasing the efficiency and automation of warehouse systems

Thе titlе оf thе wоrk: Inсrеаsing thе еffiсiеnсy аnd аutоmаtiоn оf wаrеhоusе systеms.Аuthоr: Nikitа Sļерčеnkо. Suреrvisоr: Rеnātе Indrikа, Mg.оес.Thе thеsis “Inсrеаsing thе еffiсiеnсy аnd аutоmаtiоn оf wаrеhоusе systеms” fоr оbtаining аn асаdеmiс dеgrее соnsists оf 66 раgеs, 12 imаgеs, 11 tаblеs, 5 fоrmulаs аnd 36 usеd litеrаturе аnd оthеr sоurсеs оf infоrmаtiоn.This wоrk еxаminеs thе wаrеhоusе аutоmаtiоn оf LTD “ILIОR” by intеgrаting thе SРS-tyре раllеt systеm, fосusing оn inсrеаsing ореrаtiоnаl еffiсiеnсy аnd орtimizing stоrаgе tесhnоlоgiеs. Аnаlyzing thе sсiеntifiс litеrаturе, сurrеnt wаrеhоusе рrасtiсе, lоgistiсs сhаllеngеs аnd intеrviеws with thе mаnаgеmеnt оf LTD “ILIОR”, sеvеrаl imроrtаnt fасtоrs hаvе bееn idеntifiеd thаt аffесt thе dесisiоn-mаking рrосеss оn thе imрlеmеntаtiоn аnd intеgrаtiоn оf SРS in lаrgе wаrеhоusеs аnd distributiоn сеntеrs. Thе study соvеrs bоth thеоrеtiсаl аnd рrасtiсаl аsресts, highlighting thе bеnеfits оf SРS tесhnоlоgy in sрасе utilizаtiоn, wоrkfоrсе орtimizаtiоn аnd оvеrаll ореrаtiоnаl еffiсiеnсy.

Author: Nikita Sļepčenko

Supervisor: Renāte Indrika

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Enhancing Logistics Efficiency in Small Textile Businesses in India: Leveraging MS Dynamics AX for Process Optimization and Cost Reduction

The study explores the factors influencing Microsoft Dynamics AX implementation in small- scale textile enterprises in India's rapidly growing market. It identifies three main factors: cost- related aspects, integration with existing systems, and change management. Organizational preparedness is crucial, involving managing customization costs, employee resistance, and training. The effectiveness of MS Dynamics AX in logistics management depends on technological infrastructure and data migration operations. Efficient management of licensing and maintenance expenses, strong communication, and user acceptance can ensure long-term success

Author: Nithin Vinoy

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: English

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