Competitor Analysis Research Articles

The Role of Entrepreneurial Orientation in Small Medium Enterprises Performance in Lagos, Nigeria

This study examines the role of entrepreneurial orientation on the performance of Small and Medium Enterprises (SMEs) in Nigeria. The objective was to determine the effect of innovativeness, risk-taking, proactiveness, autonomy and competitive aggressiveness on the performance of SMEs in Nigeria. Using a 21-item questionnaire with a 5-point Likert scale, the authors collected data on entrepreneurial orientation and SMES Performance. Taro Yamani Formula determined the sample size of 222 SME owners, Managers and Workers. Collected data was analysed with the use of a frequency distribution table, and simple percentages and the hypotheses were tested with Chi-Square statistical formula. The study revealed that innovativeness, risk-taking, proactiveness and competitive aggressiveness enhance the performance of SMEs. The practice of autonomy does not enhance SMEs' performance. The research suggests that SME owners and managers should be creative and innovative to adapt to external changes and customer needs. They should take calculated risks, invest in new products and services, conduct competitor analysis, and encourage employee initiatives.

THE EFFECTIVENESS OF MANAGING SOCIAL MEDIA MARKETING TOWARDS ONLINE BOOKING INTENTION WITH SPECIAL REFERENCE TO CHENNAI CITY

In today's digital age, social media has become a powerful tool for businesses to engage with consumers and influence their purchasing decisions. This research project delves into the effectiveness of managing social media marketing in driving online booking intentions, with a specific focus on Chennai City. With its burgeoning tourism industry and rapidly growing digital landscape, Chennai provides an ideal setting to explore the dynamics between social media marketing management and online booking behavior. The research methodology involves a multifaceted approach, encompassing both qualitative and quantitative methods. A comprehensive literature review lays the foundation by synthesizing existing knowledge on social media marketing, online consumer behavior, and online booking intentions. Building upon this theoretical framework, primary data collection is conducted through surveys, interviews, and analysis of social media metrics. Key findings shed light on various factors influencing the effectiveness of social media marketing in driving online booking intentions. These factors encompass both internal elements, such as content quality, engagement strategies, and platform selection, as well as external factors, including consumer demographics, market trends, and competitor analysis.

Predictive Modelling on Competitor Analysis Performance by using Generalised Linear Models and Machine Learning Approach

Competitive analysis in digital and technology is trending in the business field. However, the field of digital and technology in the business world is vast and challenging to analyse. The purpose of this research is first to identify the success factor which represent the company performance. Second, is to identify the significant services provided by the company to their business user. Then, based on the first and second objectives, a predictive modelling is developed to produce the best solution to their business user. The research is implementing a case study from Telecommunication Company and using data science life cycle methodology. The statistical modelling that is used to develop the competitor’s analysis model is generalised linear model (GLM) which integrated with machine learning approach. Furthermore, the synthetic data set is created by using Gamma Distribution, Gaussian Distribution and Poisson Distribution due to some data from the case study is confidential. The synthetic data set is based on existing real data which are from Telecommunication Company sentiment analysis data, were used to investigate the performance of the proposed model. The machine learning technique is used to get the accuracy of the significant GLM which has been developed. The accuracy is tested by using the error rates of the machine learning technique which are Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and R-squared. This research discovered that the business solution to the significant service for the business user and discovered the best statistical model to be used for the business solution. The results show that the Gumbel distribution is the best fit model for the synthetic dataset where the values of RMSE is 1.0574, MAE is 0.9168 and R-squared is 0.3994, and the significant success factor that has been identified by using the GLM is advertising success factor. The model developed can be improved with another type of data set and different sizes of data. Hence, further studies and real-world data are required for better validation.

Proposed Marketing Strategy to Improve Customer Loyalty of Brand XYZ

This research aims to provide strategies to increase customer loyalty from brand XYZ. This research was conducted using the variables brand image, customer involvement, and customer satisfaction. Internal analysis using Marketing Mix, STP, and VRIO as well as external analysis, namely PESTLE, Porter's Five Forces, Competitor Analysis, and Customer Analysis in this research are used to find out what the internal and external conditions of brand XYZ are. In this research, primary data and secondary data are used to support the analysis to be carried out. The primary data used was obtained from interviews with brand XYZ, as well as questionnaire surveys distributed to brand XYZ customers which will then be processed using Structural Equation Modeling Partial Least Square (SEM PLS). Secondary data is used in this research to support analysis in the form of theory from sources relevant to this research. The results of internal and external analysis as well as the results of the hypothesis in this research are that brand image and customer engagement have a significant and positive influence on customer loyalty, but customer satisfaction does not have a significant influence on customer loyalty. Based on the results of the analysis that has been carried out, a marketing strategy recommended by the author to increasing customer loyalty.

Predicting Airline Ticket Prices Using Machine Learning Predicting Airline Ticket Prices Using Machine Learning

Airfare prices are constantly changing due to various factors like the time of flight, destination, and length of the trip. To help people figure out the best time to buy tickets, we are working on a system that will use machine learning to predict prices. By studying past flight data in India, we want to uncover pricing patterns and suggest the ideal time to purchase tickets. This project aims to confirm or dispel common beliefs about airlines by comparing prediction models and finding ways to save money on ticket purchases. Price trends can vary significantly based on various factors such as the route, month, day, time of departure, holidays, and the airline carrier. Competitive routes like major business destinations (Mumbai-Delhi) tend to see price increases closer to the departure date. On the other hand, routes like tier 1 to tier 2 cities (Delhi-Guwahati) have specific time frames when prices are lower. The data also shows that there are two main categories of airline carriers in India: economical and luxurious. Generally, the lowest-priced flights fall under the economical group. Moreover, the data confirms that specific times of the day tend to have higher prices. By including different routes in this project, there is a potential for substantial savings when buying domestic flight tickets in India. Key Words: Airline Ticket, Pricing strategies, Fare fluctuations, Competitor analysis, Market trends

Market Orientation and Firm Performance: Evidence from the Hospitality Industry in the Philippines

Purpose: The aim of the study was to investigate the market orientation and firm performance: evidence from the hospitality industry in the Philippines. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study on market orientation and firm performance in the Philippine hospitality industry confirms a positive correlation between market orientation and business performance. It highlights that hotels prioritizing customer needs, competitor analysis, and internal coordination tend to achieve superior financial results, customer satisfaction, and market share. This underscores the significance of market orientation in driving competitiveness and sustainable growth within the Philippines' dynamic hospitality sector. Unique Contribution to Theory, Practice and Policy: Market orientation theory, resource-based view (RBV) theory & service quality theory may be used to anchor future studies on the market orientation and firm performance: evidence from the hospitality industry in the Philippines. Encourage hospitality firms in the Philippines to prioritize customer-centric strategies by fostering a culture of customer orientation throughout the organization. Advocate for policies that support the development of a conducive business environment for the hospitality industry in the Philippines, including infrastructure investment, regulatory reform, and talent development initiatives.

Physical Education Teachers’ Perceptions of a Motor Competence Assessment Digital App

Purpose: To refine a motor competence assessment app prototype, enabling its redesign. Method: Workshops were conducted to inform the prototype development. App’s usability was evaluated on its ability to communicate relevant information to the teachers (n = 9). A “think out loud” protocol was applied by the users. Results: Both workshops refined the app, namely: interface, background, acceptability/feasibility, results, teachers themselves, and effectiveness. Competitor analysis revealed recommendations for the wireframe, visuals, and proposed skills to be assessed. The need to include a demonstration for first-time users, video guidance, and links to more information for each skill was also raised. There was a recommendation on the design brief features and experiences. Conclusions: This study will provide guidance in discovering how digital solutions may shape motor competence assessment. The usability testing process with the teachers provides insight on the essential/desirable features required on these apps, enabling the prototype’s redesign to meet the users’ needs.

The Role of Competitor Analysis, Market Orientation, and Service Quality in Working Capital Management and Operational Leverage as Links to Financial Stability of Manufacturing Companies Listed on the IDX: A Qualitative Approach

This study investigates the interconnectedness of competitor analysis, market orientation, service quality, working capital management, and operational leverage in shaping organizational financial stability. The research aims to identify strategic implications for effective management of these factors and provide insights for both theoretical understanding and managerial practice. The study employs a systematic literature review methodology to analyze existing research across various domains and synthesizes findings to elucidate the relationships among the variables. The results reveal that competitor analysis serves as a foundational element in strategic planning by providing insights into market dynamics and competitive positioning. Market orientation complements this by emphasizing customer-centricity and responsiveness to market needs, while service quality emerges as a critical determinant of organizational success. Effective working capital management and operational leverage strategies significantly impact financial stability by optimizing resource utilization and cost efficiency. The findings suggest that organizations must adopt a multidimensional approach to strategic management, integrating insights from marketing, finance, and operations. Managerial implications include prioritizing investments in market intelligence, fostering a customer-centric culture, optimizing working capital management practices, and carefully managing operational leverage. Collaboration across functional areas and agile decision-making are essential for adapting strategies to dynamic market conditions. Overall, the study contributes to a deeper understanding of the complex interplay among these factors and provides actionable recommendations for enhancing financial stability and sustaining competitive advantage.

INNOVATIVE DEVELOPMENT OF HOSPITALITY ENTERPRISES

The article studies the main directions and stages of development of the strategy of innovative development of hotel enterprises. It is substantiated that the development and implementation of innovations is the most important condition for the progressive development of both a separate enterprise, an entrepreneurial structure, and the entire economy as a whole. Innovative processes are now becoming increasingly important, their main task is to achieve competitive advantages for enterprises and more fully meet consumer demand for high-quality services. At present, this can only be achieved through innovations that need to be widely implemented and used in modern economic conditions.
 Innovation drives the emergence of in the market for new or improved products and services. Innovative activities can lead a hotel company to qualitative changes in all processes activities. They are aimed at achieving results - increasing the speed and quality of the visitor service process.
 Innovation process at the enterprise hotel industry consists of a list of actions to introduce services with new properties, new technological processes, the use of new methods and methods of logistics.
 Innovative development in the hotel business allows you to win as many visitors as possible and in the best way satisfy their needs while maintaining a market segment. This development strategy hotel determines its recognition on competitive service markets.
 The best way to achieve good results is to plan a hotel enterprise development strategy based on a systematic analysis of competitors, consumers, and the hotel's technological profile.
 It should not be forgotten that for any hotel, the most important role in the process of innovative development is played by the staff. After all, the human factor certainly affects the positioning of the service and can lead to its positive and negative position

Gemini or ChatGPT? Capability, Performance, and Selection of Cutting-edge Generative Artificial Intelligence (AI) in Business Management

The research paper investigates the comparative functionalities, effectiveness, and selection criteria of Gemini and ChatGPT within the field of business management. Both AI platforms offer specialized advantages applicable across various domains, including market research, strategic planning, operations management, customer service, marketing, human resources, and decision-making. Gemini utilizes Google's vast index to excel in real-time market analysis, strategic planning, and data-driven decision-making. Its robust analytical capabilities facilitate swift identification of market trends, competitor analysis, and precise forecasting. Conversely, ChatGPT specializes in providing qualitative insights, analyzing customer feedback, and facilitating creative content generation, making it particularly valuable for customer interactions and marketing efforts. Regarding performance, both models significantly enhance operational efficiency, data analysis, and customer service automation. Gemini's proficiency lies in processing extensive datasets for insights and optimization, whereas ChatGPT's adaptability and conversational skills elevate customer experiences and creative content production. The paper delineates selection criteria tailored to specific business requirements and contexts. Considerations such as data sensitivity, bias mitigation, cost-effectiveness, accessibility, customization, and integration are pivotal in selecting between Gemini and ChatGPT. While Gemini may be favoured for its factual precision and integration within the Google ecosystem, ChatGPT offers flexibility, conversational capabilities, and potential for self-hosting. Comprehending the distinct strengths and limitations of each AI model is crucial for effectively harnessing their capabilities across diverse business management scenarios. The research delivers valuable insights for businesses seeking to optimize their operations and decision-making processes through AI integration.

РАЗРАБОТКА МЕРОПРИЯТИЙ ПО СОВЕРШЕНСТВОВАНИЮ МАР-КЕТИНГОВОЙ ДЕЯТЕЛЬНОСТИ ПРЕДПРИЯТИЯ

The article discusses the issues of improving the marketing activities of an enterprise as a necessary condition for ensuring the stable functioning of the or-ganization in the conditions of economic sanctions. Based on an analysis of the in-ternal and external environment, the strengths and weaknesses of AQUA-GROUP LLC, Salsk, Rostov region, engaged in the trade of auto chemical products for car washes, were identified, and opportunities and threats from the market were identi-fied. The main characteristics of the market for autochemical products in the Rus-sian Federation are highlighted. The structure of the industry has been studied, an analysis of competitors, suppliers and consumers of the auto chemicals market has been carried out. A strategy has been developed and measures for its implementa-tion have been planned, aimed at improving marketing activities, including search-ing for new suppliers in the context of import substitution, expanding the market of potential customers by entering new formats of trading platforms. An analysis of the most popular marketplaces was carried out, the principles of their operation, tariffs for delivery and storage of products were studied. A cargo transportation scheme for AQUA-GROUP LLC has been developed at the 1st and 2nd stages of developing sales on marketplaces. The additional profit received by entering the trading platforms of the Ozon and Yandex Market marketplaces was calculated.

Business Strategic Realignment for a Sustainable Fashion Brand

Research Aims: This study aims to determine and formulate business strategies for House of Majik, an upcycling fashion brand, to redefine its business model as a sustainable fashion brand. 
 Design/methodology/approach: This study uses a conceptual framework which uses several steps and tolls, such as business environmental scanning through external analysis (PESTEL, Porter’s Five Forces, and Competitor Analysis), Internal Analysis (Value-chain Analysis), Strategy Formulation (TOWS Matrix Analysis), and Redefining Business Model through Value Proposition Canvas and Business Model Canvas approach. 
 Research Findings: Findings suggest House of Majik to adopt focus-differentiation business strategy, as the strategy is the most appropriate to leverage the exclusivity, creativity, and uniqueness inherent in an upcycling brand. Which affirmed by the value proposition of House of Majik to offer limited editions of upcycled pieces as distinctive products with reasonable prices.
 Keywords: business strategy; value proposition canvas; business model canvas; sustainable fashion; upcycling fashion

Rationale for the feasibility of developing a web application for aggregator of travel services

The article examines issues related to the feasibility of developing a web application that will combine tourism services and offer the user various services related to excursions. The introduction provides current statistical data on the development of the tourism industry based on research from the Higher School of Economics and the statistical bulletin of Rosstat. Arguments and reasoning in favor of the digital development of this area are presented. As part of the analysis of the feasibility of the development, the volume of the tourism services market in the Samara region was calculated. The volume of the tourism services market was calculated using 4 indicators: PAM, TAM, SAM, SOM (data for calculations was taken from official sources of Rosstat and the Ministry of Tourism). After analyzing the calculated indicators, a conclusion was made about the prospects of the tourism services market. A business model for the development of the application being developed based on lean canvas has been drawn up, and the rationale for the primary hypotheses is briefly described. Based on this table, a product development strategy is built. The criteria for analogues of the product being developed are described. An analysis of indirect and direct competitors, travel portals and applications was carried out. Direct competitors are products that provide services to the user in the field of excursions, attractions, etc. The positive and negative aspects of analogues are presented. An analysis of popular operating systems that are used by consumers was carried out. The difficulties of implementing a cross-platform application that runs on any personal device are described. Arguments are given in favor of developing a product based on a web platform. The results of the study allowed us to draw a conclusion about the situation in the tourism services market, the development of a competitive web application, and potential loyal customers. The possible practical benefits of market analysis and gradual product development are described.

Integrated Marketing Communication Strategy For Cannon Viking: Case Study Of Cannon Far East Indonesia

Cannon Far East Indonesia (CFEI) is one of the market leaders for PU (polyutherane) processing machine providers in Indonesia. However, in bedding and mattress PU application, CFEI encounters difficulties in selling Cannon Viking machines which negatively affects CFEI sales in Indonesia. Even with economic recovery post-pandemic, CFEI’s position in the bedding and mattress market does not seem to change significantly, in comparison to the growth of the processing industry in Indonesia. Hence, the brand awareness issue of CFEI’s Cannon Viking machines is to be explored further in this research, as well as its impact on consumer’s purchase intention. This research contributes to the analysis of the bedding and mattress market of PU applications in Indonesia, as well as the factors impacting customer purchase intention within the industry. The objectives of this research are to conduct internal and external analysis of CFEI, identify factors influencing purchase intentions for consumers, and create promotion strategies to increase the brand awareness of CFEI’s Cannon Viking products. This research utilizes qualitative methodology for data collection and hypothesis analysis. The research data are collected using observation of CFEI’s operations, questionnaire distributions, and interviews with CFEI’s customers. The external analysis was conducted using PESTEL Analysis, Porter’s Five Forces, Competitor and Customer Analysis, while the internal analysis was conducted using VRIO, Marketing Mix, STP Analysis, and Value Chain Analysis. The result of the research shows that IMC affects both Brand Awareness and Consumer Perception, which also affect Purchase Intention respectively. CFEI is recommended to implement the IMC plan with a stronger emphasis on the strength of Cannon Viking machines and initiate digital marketing activities to form a stronger online presence in Indonesia.

COMMUNITY EMPOWERMENT AND INNOVATION AS A STRATEGIC BUSINESS RESILIENCE EFFORT FOR BATIK AND WEAVING BUSINESS ACTORS

Purpose: This study aims to analyze the factors affecting economic resilience in the batik and weaving SME industry in Indonesia, focusing on Pekalongan Batik, Yogyakarta Batik, and Tenun Sengkang. Theoretical Reference: This study integrates National Resilience Theory and Resource-Based View (RBV) to form a robust basis for business resilience, emphasizing community empowerment and innovation. Community empowerment builds batik and weaving businesses on skilled human resources, while innovation facilitates adaptation and growth. Together, they address external challenges like global competition and shifting consumer preferences, enhancing the resilience of batik and weaving enterprises. Method: The research method used was a qualitative approach with descriptive data collection through observation, interviews, and document analysis. The focus of this research is on empowerment and innovation in SMEs of Pekalongan Batik, Yogyakarta Batik, and Sengkang Weaving in Wajo Regency, South Sulawesi. Results and Conclusion: The study reveals that batik and weaving entrepreneurs highly value competitor analysis and the adoption of competitive best practices. Government support through community empowerment initiatives is vital for industry growth, offering crucial assistance such as training, education, and market expansion. Continuous community empowerment and regular program evaluations are essential. Effective collaboration among government, entrepreneurs, and stakeholders is key to fostering a supportive business environment, significantly enhancing the batik and weaving sector's development and overall welfare. Implication of Research: Effective community empowerment hinges on the collaboration among government, entrepreneurs, and stakeholders, ensuring planning, implementation, and evaluation involve all parties. This approach fosters synergies and enhances program effectiveness. Involving entrepreneurs in decision-making tailors programs to actual business needs, while government should ensure entrepreneurs have access to necessary training and education. Orginality Value: This study introduces novel aspects by focusing on the batik and weaving SMEs in Indonesia's specific regions (Pekalongan, Yogyakarta, Sengkang), offering detailed insights into their unique challenges and potentials. It employs a comprehensive approach to business transformation, considering marketing, technology, entrepreneurship, and other performance-related factors, thus providing a wider view on industry development. Additionally, it emphasizes the government's role in fostering a supportive business ecosystem through community empowerment initiatives and highlights the significance of government support, training, education, and collaboration for industry advancement.

ANALISIS PENGEMBANGAN MODEL BISNIS “HANIFFA KOST” DENGAN PENDEKATAN BUSINESS MODEL CANVAS

This research aims to analyze and develop the Haniffa Kost management model with the goal of identifying effective solutions to address existing problems and improve service quality for customers. Additionally, the study examines whether the Haniffa Kost business model requires adjustments using the latest Business Model Canvas and Lean Canvas after applying competitor analysis and SWOT analysis concepts. Furthermore, the approach used is qualitative with a descriptive approach. The research findings identify various key elements in the Haniffa Kost business model that need to be maintained or developed. Firstly, the market segment should remain focused on students and working professionals studying or working around the boarding house location, while innovation and diversification are crucial aspects to maintain Haniffa Kost's appeal and relevance. Developing capacity and facilities are important steps to meet growing demand, and social media communication is an effective way to market boarding house services. Improving service quality and sustaining innovation are key to maintaining competitive advantage. Additionally, the research designs relevant recommendations for changes to the Haniffa Kost business model.

PENERAPAN DESIGN THINKING PADA PERANCANGAN UI/UX WEBSITE BOOTCHIN COFFE

Developing a website with a good user interface (UI) and user experience (UX) is crucial in meeting customer needs and ensuring the success of online businesses. This research examines the application of the Design Thinking method in the UI/UX design process for the Bootchin Coffee website, an e-commerce platform that focuses on premium coffee products. This study employs a qualitative approach with key stages including understanding, observation, ideation, prototyping, and testing. Data is collected through interviews with potential users, competitor analysis, and observation. Additionally, this study explores user-centered design perspectives, encompassing aesthetics, functionality, and user satisfaction. The results of the research show that the application of Design Thinking in the UI/UX design of the Bootchin Coffee website enhances user interaction with the site. A more intuitive interface design, an improved understanding of user needs, and an overall enhanced user experience are the primary outcomes of this research. User acceptance testing also demonstrates a positive response from users to the implemented changes. Thus, this research provides recommendations for web developers and business owners to adopt the Design Thinking approach in designing their websites to meet the increasing demands of online consumers for a high-quality online experience. This study is expected to contribute to the development of UI/UX design and user experience knowledge and offer practical guidance to business owners seeking to improve the quality of their websites through the application of Design Thinking principles.

Proposed Business Strategy Improvement for Project Management Consulting Form (Study Case: PT ABC)

PT ABC is a service company in the field of project management, established in 2005. It operates with three main businesses: project management training, project management applications, and consultancy services. Project management is a crucial element for executing projects effectively within a company. In various industries, there is a growing demand for knowledge and consultation on how to manage projects efficiently, leading to the emergence of companies specializing in project management consultancy, such as PT ABC, to address these challenges. This research aims to uncover the root problems of the company to identify implementable solutions. Several analyses are employed in this study, including General Environment Analysis, Industry Analysis, and Competitor Analysis for external insights. For internal analysis, resources analysis, value chain analysis, marketing mix, and STP analysis are utilized. The study then progresses to map SWOT analysis and TOWS analysis. From these analyses, weaknesses and strengths of the company are identified, guiding the formulation of appropriate strategies to compete in the market. The research reveals that PT ABC possesses several strengths that have enabled the company to endure over time. Noteworthy strengths include its reputation and a skilled human resource pool in project management, garnering attention in the project management industry. Additionally, the company has a competitive advantage through technological innovation in its application, setting it apart from competitors and providing potential added value when maximized. However, there are areas for improvement, such as refining the application products and establishing a dedicated marketing team to focus on promoting all of PT ABC’s products rather than just one.

Improving the Business Model Canvas to Maintain the Sales Performance of Ornamental Fish Business Post Covid 19 Pandemic (Case Study: Ekuarium)

Ekuarium is one of the ornamental fish retail businesses that experienced a decline in sales performance after COVID 19 Pandemic. The sales performance of this Ekuarium is relatively unstable even though it has the potential to continue to grow in the future. This study aims to analyze the elements that affect the sales performance of the Ekuarium and update the Business Model Canvas to improve sales performance. The research methodology used is a qualitative method with data collection through interviews and observation. The secondary data used in this study were obtained through books, journals, news, and other reliable sources. For environmental analysis, this study utilizes PESTEL Analysis, Porter’s 5 Forces, Customer Empathy Map, and Competitor Analysis to obtain data from the external environment. Furthermore, this study uses VRIO analysis to determine the competitive advantage of businesses. The collected data is then summarized using SWOT analysis and formulated in the TOWS Matrix, Value Proposition Canvas, and Marketing Mix (4P’s). The result of the study is that there are BMC updates on the Value Proposition, Customer Relationship, Channels, Customer Segments, and Revenue Stream blocks. It is hoped that the update can maintain and improve sales performance at the Ekuarium.

Exploring the Emerging Podcast Culture: A Case Study of Podcast Cafe in Saudi Arabia

This research study delves into the burgeoning podcast culture in Saudi Arabia, with a specific focus on Candid Podcast Cafe. As the Kingdom experiences rapid social and cultural transformations, podcasts have emerged as a novel medium for self-expression, information dissemination, and entertainment. This investigation aims to provide an in-depth exploration of the role and impact of Candid Podcast Cafe within this evolving landscape. It outlines a comprehensive strategy for establishing and operating a business in the Kingdom of Saudi Arabia. It encompasses various key aspects, including the company's description, mission, and vision, industry analysis, business analysis (PESTLE), customer analysis, and competitor analysis. Additionally, the study delves into the internal environmental analysis, specifically focusing on the marketing mix, and concludes with a thorough SWOT analysis, followed by a well-considered conclusion and recommendations. 
 Keywords: Business Strategy; Growth Prospects; Market Research; Market Mix; PESTLE Analysis; Saudi Arabia Business Environment