Competitive Analysis Research Articles

Analysis of the Competitiveness of Digital Service Trade Between China and RCEP Partner Countries

Abstract: Based on the digital service trade data from China and RCEP partner countries from 2008 to 2022, this study analyzes the current status of digital service trade, including export scale, structure, and policies. It calculates the international market share and trade competitiveness index, and provides an in-depth analysis of the overall competitiveness of digital service trade and the competitiveness levels by industry within RCEP countries. The study finds that while the international competitiveness of digital service trade between China and RCEP partner countries is relatively weak, the development speed is relatively fast. In response, China should increase efforts in digital infrastructure construction with RCEP partners, promote digital technology research and innovation; enhance digital security and privacy protection, and improve relevant laws and policies; reduce barriers to digital service trade, and increase the influence in formulating digital trade rules; strengthen political mutual trust among RCEP countries, and deepen cooperation in digital service trade.

Competitiveness analysis of the South African avocado industry

ABSTRACT The South African avocado industry has experienced a major decline in its export performance which could be attributed to its overall competitiveness in the global export markets. This study seeks to analyse the competitiveness of the South African avocado industry based on the perceptions of the industry participants and other industry experts. The main purpose of this study is to provide a comprehensive statement on the competitiveness of this industry for strategic planning by agribusiness managers and other key stakeholders to improve the industry’s competitiveness. A five-step analytical framework previously used in similar studies is applied to measure and analyse the competitive performance of the South African avocado industry. Through engagements with industry participants and experts, 90 factors that influence the competitiveness of the South African avocado industry were identified. An analysis of these factors using Porter’s Determinants of Competitiveness approach supported by measurements of comparative advantage using trade measures such as the Revealed Comparative Advantage (RCA), Relative Trade Advantage (RTA), Revealed Symmetric Comparative Advantage (RSCA), Normalized Revealed Comparative Advantage (NRCA) and Global Competitiveness Index (GCI), this study was able to establish that the South African avocado industry is experiencing competitiveness challenges. Climate change, competition in the international markets, and various South African policies were identified as major constraints for the competitiveness of the South African avocado industry. Thirteen strategic actions that could be used to improve the competitiveness of this industry are recommended. The study mainly focused on the South African avocado industry; thus, generalisations should be cautious.

Challenges and Solutions in Scaling Operations Globally: A Guide for U.S. Food and BeverageExecutives

Abstract—This paper explores the challenges and solutions associated with scaling operations globally in the food and beverage sector from a U.S. executive’s perspective. It examines why expanding internationally makes sense for companies with successful domestic products, highlighting the advantages of U.S. innovation and lower costs of innovation compared to local markets abroad. The paper outlines a strategic roadmap for global expansion, including test markets, partnerships with local firms, and focusing on countries with positive sentiments toward U.S. food safety standards. A hypothetical case study illustrates the growth process, emphasizing the need for internal buy-in, patience, and a long-term view. Potential pitfalls and strategies for success are discussed, along with competitive analysis and the role of disruption in scaling products. Index Terms—Global Expansion, Food and Beverage Industry, Consumer Packaged Goods (CPG), International Operations, U.S. Innovation, Market Entry Strategy, Competitive Analysis, Disruption

Comparative Analysis of Domestic Production and Import of Hard Coal in Poland: Conclusions for Energy Policy and Competitiveness

In many energy policies, including Poland’s, environmental priorities clash with the issue of energy security. With these contradictions in mind, the main objective of the article is a comparative analysis of domestic production and imports of hard coal in Poland and the formulation of conclusions for energy policy and competitiveness. The analysis covers the years 2018–2023 and concerns three issues: the volume and directions of coal imports to Poland, the qualitative and price competitiveness of coal, and the possibility of substituting imported coal with domestic coal. The research used statistical analysis. Indicators of structure and dynamics as well as comparative analysis were also used. The analysis shows that the structure of coal importers to Poland is quite diverse and includes many geographic directions. However, until 2021, it was dominated by Russia, followed by Colombia, indicating a fairly homogeneous supply market and a continuing tendency to depend on a single importer. Analysis of qualitative competitiveness confirms the existence of balance and industrial resources whose quality parameters (sulfur content, ash content, and calorific value) are comparable to and better than those of imported coal. Polish hard coal can also compete with imported coal in terms of price. From 2021 to 2023, it was clearly cheaper than foreign coal. In the above circumstances, it is quite difficult to unequivocally assess the reasons for importing coal to Poland and to justify dependence on external suppliers. This is especially relevant since domestic mining in 2020–2023 remains stable (periodically even increasing), which does not indicate a decisive shift away from coal as an energy resource.

Research of the dynamics of wholesale segment concentration level in the regional pharmaceutical market

Introduction: The study of the competitive environment in the pharmaceutical market is an element of the analysis of the drug supply system. The purpose of the study is to analyze the dynamics of concentration levels in the wholesale segment of the regional pharmaceutical market. Materials and methods: Data on market shares of key players were collected and summarized based on the executed contracts (461 contracts in total) for the supply of pharmaceutical products in the model region. For the competitive analysis of pharmaceutical distributors, the Herfindahl-Hirschman Index (HHIn) calculation method was used. We also used the method of constructing the SV matrix, which has the form of a graph consisting of four quadrants divided on the abscissa scale by the obtained values of market concentration ratios (CRSV) and on the ordinate scale by the values of Hall-Teidman indices (HTSV). Results: Market concentration indicators in the wholesale segment of the regional pharmaceutical market indicate the formation of oligopoly. The constructed SV matrix demonstrated the dynamics of market concentration levels corresponding to the changing economic situation. Based on the results of the analysis, proposals to improve the competitiveness of regional pharmaceutical distributors were formed. Conclusion: The study of the dynamics of market concentration indicators allowed to analyze their state, establish the vectors of their drift, and propose measures to optimize the wholesale supply of pharmaceutical goods.

Measurement of Competitiveness and Determinants of Coal Output in East Kalimantan

The coal sector has the highest share and contribution to the economy in East Kalimantan Province. The importance of the existence of coal to the economy of East Kalimantan must be followed by high competitiveness and supportive policy direction. For this reason, this study aims to measure and identify the competitiveness and factors that affect the output of the coal sector in East Kalimantan Province using the competitiveness analysis (LQ) method and panel data regression. The results of the analysis identified that East Kalimantan occupies the first position with the highest coal sector competitiveness in Indonesia. This is evidenced by a consistent competitiveness index value of more than 1 from 2021 to 2024. Meanwhile, the results of the panel data analysis also identified that the variables of total investment and the number of workers in the coal sector with long roads are estimated to have a positive and significant effect on the output of the coal sector in East Kalimantan Province. Meanwhile, the road length variable is predicted to have a negative and significant effect on the output of the coal sector.

Using Online Algorithms to Solve NP-Hard Problems

This paper explores the application of online algorithms to tackle NP-hard problems, a class of computational challenges characterized by their intractability and wide-ranging real-world implications. Unlike traditional offline algorithms that have access to complete input data, online algorithms make decisions sequentially, often under constraints of incomplete information. We investigate various strategies, including greedy approaches, randomization, and competitive analysis, to assess their effectiveness in solving NP-hard problems such as the Traveling Salesman Problem, the Knapsack Problem, and the Set Cover Problem. Our analysis highlights the trade-offs between solution quality and computational efficiency, emphasizing the significance of the competitive ratio in evaluating algorithm performance. Additionally, we discuss the practical applications of online algorithms in dynamic environments, such as real-time systems and streaming data processing. Through a comprehensive review of existing literature and novel algorithmic designs, we aim to provide insights into the viability of online algorithms as a robust framework for addressing NP-hard problems in scenarios where immediate decision-making is crucial. The findings underscore the potential for future research to enhance these algorithms, making them increasingly applicable in complex, real-world contexts.

Competitive Data-Structure Dynamization

Data-structure dynamization is a general approach for making static data structures dynamic. It is used extensively in geometric settings and in the guise of so-called merge (or compaction) policies in big-data databases such as LevelDB and Google Bigtable. Previous theoretical work is based on worst-case analyses for uniform inputs—insertions of one item at a time and non-varying read rate. In practice, merge policies must not only handle batch insertions and varying read/write ratios, they can take advantage of such non-uniformity to reduce cost on a per-input basis. To model this, we initiate the study of data-structure dynamization through the lens of competitive analysis via two new online set-cover problems. For each, the input is a sequence of disjoint sets of weighted items. The sets are revealed one at a time. The algorithm must respond to each with a set cover that covers all items revealed so far. It obtains the cover incrementally from the previous cover by adding one or more sets and optionally removing existing sets. For each new set the algorithm incurs build cost equal to the weight of the items in the set. In the first problem the objective is to minimize total build cost plus total query cost , where the algorithm incurs a query cost at each time \(t\) equal to the current cover size. In the second problem, the objective is to minimize the build cost while keeping the query cost from exceeding \(k\) (a given parameter) at any time. We give deterministic online algorithms for both variants, with competitive ratios of \(\Theta(\log^{*}n)\) and \(k\) , respectively. The latter ratio is optimal for the second variant.

Survival benefit of adjuvant TACE for patients with hepatocellular carcinoma and child-pugh B7 or B8 after hepatectomy.

The benefit of postoperative adjuvant transcatheter arterial chemoembolization (pTACE) for patients with hepatocellular carcinoma (HCC), especially those with Child-Pugh (CP) B, remains controversial. This study aimed to assess the survival benefit of pTACE for HCC patients with CP B. Data from 297 HCC patients with CP B7 or B8 were analyzed, dividing them into groups with and without pTACE (70, 23.6% vs. 227, 76.4%). Propensity score matching (PSM) was used to control for confounding bias, and competing-risk regression was applied to address bias from non-cancer-specific death (NCSD). Preliminary findings suggest that pTACE did not increase the incidence of severe complications in HCC patients with CP B7 or B8. Survival analysis indicated that the group receiving pTACE had better overall survival and recurrence-free survival than the group without pTACE after PSM. Furthermore, competitive risk analysis revealed that pTACE was an independent prognostic factor associated with reduced cancer-specific death incidence (subdistribution hazard ratio [SHR] 0.644, 95%CI: 0.378-0.784, P = 0.011) and recurrence (SHR 0.635, 95% CI: 0.379-0.855, P = 0.001). Importantly, pTACE did not increase NCSD. Subgroup analysis corroborated these results. Adjuvant TACE demonstrates the potential to significantly enhance the long-term prognosis of HCC patients with CP B7 or B8 following hepatectomy, particularly those with multiple tumors, large tumor size, macrovascular or microvascular invasion, and narrow resection margin. Hence, pTACE should be considered for patients at high risk of recurrence following thorough evaluation.

The analysis of vegetable and fruit export competitiveness of the Republic of Srpska

The aim of this research is an analysis of the Republic of Srpska's export competitiveness in vegetables and fruit on international markets. Two main evaluation indices were used, namely the trade competitiveness (TC) index and the revealed comparative advantage (RCA) index to measure and analyze the international position of vegetables and fruit during 2015 – 2022. Both indicators were calculated based on statistical data on foreign trade in vegetables and fruit between the Republic of Srpska and the world, EU, and CEFTA countries, and analyzed using descriptive statistics. Vegetables and fruit participate with 7.17% and 15.41% in the total export of the Republic of Srpska’s agri–food sector. Analysis of the export structure of this sector showed an average share of vegetables and fruit of 12.04% and 9.43% in the EU market, i.e., 1.63% and 9.65% in the CEFTA market. The results indicate strong export competitiveness of the Republic of Srpska in vegetables concerning the world and EU markets, but weak export competitiveness in relation with the CEFTA countries. The Republic of Srpska recorded strong export competitiveness in fruit on the world and CEFTA market, while poor export competitiveness in the EU market. Within these two product groups on the world market, cucumbers, apples, pears, and plums achieved strong export competitiveness. Cucumbers and plums were two leading products regarding strong export competitiveness On the EU market, while apples and pears were on the CEFTA market. Considering the favourable agroecological conditions for the production of vegetables and fruit, the Republic of Srpska should continue to promote production and foreign trade in these traditional products and improve their competitiveness on international markets.

On delivery policies for a truck-and-drone tandem in disaster relief

This paper introduces the traveling salesman problem with a truck and a drone under incomplete information (TSP-DI). TSP-DI is motivated by the deliveries of emergency supplies under unknown road conditions in the immediate aftermath of a disastrous event. The urgency may force the immediate dispatch of relief vehicles, such that road damages blocking the truck’s planned route are detected ’on-the-fly’. The relief transport must schedule deliveries anticipating possible unplanned truck detours, enforce (planned) drone detours for early checking of key road segments, and consider the dynamic nature of road condition information. In this paper, we perform a competitive analysis of a widely used delivery policy for TSP-DI in practice – the online re-optimization policy (Reopt) – and compare it to several alternative delivery strategies. Competitive analysis examines the worst-case performance of the strategies and is particularly important in the context of disaster relief, where worst-case outcomes must be avoided. Our analysis shows that Reopt is dominated by alternative delivery policies in terms of the competitive ratio even at a medium level of damage on the road. It also underscores the importance of surveillance detours performed by the drone, even if the surveillance delays the start of the deliveries.

Analysis of destination competitiveness, tourist experience, and behavioral intention of tourists in MIMAROPA: Basis for destination competitiveness framework

Analysis of destination competitiveness, tourist experience, and behavioral intention of tourists in MIMAROPA: Basis for destination competitiveness framework

The Legal Framework Governing Merger Transactions in Tunisia: A Comparative Analysis of Equitable Competition with France

This abstract offers an in-depth comparative analysis of the legal frameworks governing merger operations in the Tunisian Republic and the French Republic, highlighting the legal and regulatory mechanisms aimed at guaranteeing fair competition on the markets. The study explores in detail the similarities and distinctions between these two legal systems, looking at key aspects such as the notification procedures for mergers and acquisitions, the essential criteria for assessing merger operations, as well as the sanctions imposed in the event of proven anti-competitive practices. This comparative analysis provides essential legal perspectives to understand the different approaches taken by these two nations to the regulation of merger operations, thereby contributing to an in-depth understanding of the practices and legal obligations surrounding these transactions in an international context.

Home-Field Advantage in Soccer: UEFA Champions League and Europa League Evaluation on the 2021-2022 Season

Competition analysis in football is an important method to evaluate the success and failure of teams. Home advantage is considered as an important factor in achieving success in competitions. The aim of this study is to examine the effect of home advantage on technical criteria in the UEFA Champions League and UEFA Europa League, which are organised at club level, played in the 2021-2022 season. In the data collection phase, descriptive survey method was used. Within the scope of the research, a total of 262 football matches, excluding the final matches played at neutral grounds and total of 744 goals scored in these matches were analysed in terms of home and away teams in the UEFA Champions League and Europa League. The goals scored were categorised as the goal minutes intervals, the goal scoring areas (Inside the Penalty Area: IPA; Outside the Penalty Area: OPA), the ways goals were scored (Head Kick; Foot Kick), the number of touches on the ball before the goal (1 Touch: 1T; 2 Touches: 2T; 3 Touches: 3T; 4 Touches + >4T), the direction of attack before the goal and the goals scored from set-pieces (Corner Kick; Penalty Kick and Free Kick) for the home and away teams. The images of the analysed goals were accessed on the UEFA official website with open access permission. Frequency (f) and percentage (%) were calculated for the evaluation of the data obtained, and since the data did not show normal distribution according to the Shapiro-Wilk test results, Kruskal-Wallis test was applied to look at the difference between the groups and the significance level was accepted as p

Evaluating Corporate Competitive Advantages Through Managerial Economics

This paper conducts an in-depth analysis of enterprise core competitiveness from the perspective of managerial economics. First, it elaborates on the concept and connotation of enterprise core competitiveness, pointing out that core competitiveness is the source of maintaining long-term competitive advantage for enterprises. Second, from the perspective of managerial economics, it explores the formation mechanism and influencing factors of enterprise core competitiveness, such as enterprise resources, capabilities, knowledge, and management, and analyzes the relationship between enterprise core competitiveness and performance. Finally, it proposes strategic suggestions for enhancing enterprise core competitiveness. The research in this paper aims to provide theoretical support and practical guidance for enterprises to understand, cultivate, and improve their core competitiveness.

Implications of Competitive Advantage Strategies in the Buying and Selling Used Iron

This study aims to analyze and identify the competitive structure that forms the key success factors (KSFs) in the scrap metal trading industry, with open innovation as a mediating factor and its effect on competitive advantage. The research employs an explanatory method to explore the causal relationships between variables. Data were collected through questionnaires, direct interviews with business owners, managers, employees, and consumers in the scrap metal trading sector, as well as secondary sources such as articles, journals, online databases, libraries, and government agencies like the Ministry of Trade (Deperindag) and the Central Bureau of Statistics (BPS). The data collection techniques include literature review, interviews, and observations. Analytical methods employed in this study include descriptive analysis through company profiling, Porter's Five Forces model for industry competition analysis, and an assessment of open innovation as a mediating factor for competitive advantage. The findings reveal that key success factors contributing to competitive advantage in the scrap metal trading industry are economies of scale, marketing capabilities, access to capital, raw material supply, and technology utilization. The application of Porter's Five Forces, when mediated by open innovation, strengthens the relationship between open innovation and organizational strategy, ultimately leading to sustainable competitive advantage. Competitive advantage is enhanced by increased open innovation, which fosters organizational collaboration, adaptability, and the development of novel strategies. Through the implementation of open innovation, scrap metal trading companies can leverage diverse ideas and resources, enhancing competitiveness in dynamic market environments. Conclusion: The threat of new entrants in the scrap metal trading industry is low, while the bargaining power of suppliers and buyers is strong. The threat from substitute products is weak, and the rivalry among existing competitors is intense. Open innovation contributes to competitive advantage by promoting collaboration, encouraging adaptability, and supporting strategic innovation.

DRUG PRECURSOR TARGETING THE BOMBESIN RECEPTOR FOR PEPTIDE-RECEPTOR RADIONUCLIDE THERAPY

Cancer is a leading cause of death worldwide. A promising modality for cancer treatment is peptide receptor radionuclide therapy. Therapeutic radionuclide is delivered using peptide-based vectors, which can bind to specific receptors on the cancer cell surface. Bombesin receptors are one of the receptors peculiar to many types of cancer, which can be targeted by peptide vectors. Peptides have a number of advantages, but they also have one serious drawback: low stability in the internal environment. To solve the problem, it is possible to the include a therapeutic peptide in the structure of a highly stable knottin peptide. Objective. The aim of the study is to examine the stability of BBN/C1-C2 structure, created on the basis of U5-scytotoxinSth1a knottin and bombesin tropic to bombesin receptor, and the ability of this structure to bind to target receptors on the cancer cell surface. Materials and Methods. BBN/C1-C2 peptide was obtained by solid-phase peptide synthesis. Then, is underwent chromatography purification under analytical chromatography and mass spectrometry control. Stability was studied by analytical chromatography. Competitive inhibition analysis was carried out using a fluorescently labeled GRP peptide with excess BBN/C1-C2 and fluorescently labeled BBN/C1-C2 with GRP bombesin receptor inhibitor. Cancer cell line PC-3 expressing bombesin receptors and normal cell line CHO-K1 not expressing bombesin receptors were used in the work. Results. The conducted studies have shown that hybrid BBN/C1-C2 peptide based on bombesin peptide inserted into the U5-scytotoxinSth1a knottin framework between the first and second cysteine residues has a greater stability compared to the commercial radiopharmaceutical PSMA-617. BBN/C1-C2 peptide is specific to bombesin receptor: it binds to PC-3 cancer cell line with a target bombesin receptor on its surface, and does not bind to the healthy CHO-K1 cell line, without a target receptor. BBN/C1-C2 peptide shows high affinity for the bombesin receptor, since GRP prevents its binding to the PC-3 cell line.

Free-water: A promising structural biomarker for cognitive decline in aging and mild cognitive impairment

Abstract Diffusion MRI derived free-water (FW) metrics show promise in predicting cognitive impairment and decline in aging and Alzheimer’s disease (AD). FW is sensitive to subtle changes in brain microstructure, so it is possible these measures may be more sensitive than traditional structural neuroimaging biomarkers. In this study, we examined the associations among FW metrics (measured in the hippocampus and two AD signature meta-ROIs) with cognitive performance, and compared FW findings to those from more traditional neuroimaging biomarkers of AD. We leveraged data from a longitudinal cohort (nparticipants = 296, nobservations = 870, age at baseline: 73 ± 7 years, 40% mild cognitive impairment [MCI]) of older adults who underwent serial neuropsychological assessment (episodic memory, information processing speed, executive function, language, and visuospatial skills) and brain MRI over a maximum of four time points, including baseline (n = 284), 18-month (n = 246), 3-year (n = 215), and 5-year (n = 125) visits. The mean follow-up period was 2.8 ± 1.3 years. Structural MRI was used to quantify hippocampal volume, in addition to Schwarz and McEvoy AD Signatures. FW and FW-corrected fractional anisotropy (FAFWcorr) were quantified in the hippocampus (hippocampal FW) and the AD signature areas (SchwarzFW, McEvoyFW) from diffusion-weighted (dMRI) images using bi-tensor modeling (FW elimination and mapping method). Linear regression assessed the association of each biomarker with baseline cognitive performance. Additionally, linear mixed-effects regression assessed the association between baseline biomarker values and longitudinal cognitive performance. A subsequent competitive model analysis was conducted on both baseline and longitudinal data to determine how much additional variance in cognitive performance was explained by each biomarker compared to the covariate only model, which included age, sex, race/ethnicity, apolipoprotein-ε4 status, cognitive status, and modified Framingham Stroke Risk Profile scores. All analyses were corrected for multiple comparisons using an FDR procedure. Cross-sectional results indicate that hippocampal volume, hippocampal FW, Schwarz and McEvoy AD Signatures, and the SchwarzFW and McEvoyFW metrics are all significantly associated with memory performance. Baseline competitive model analyses showed that the McEvoy AD Signature and SchwarzFW explain the most unique variance beyond covariates for memory (ΔRadj2 = 3.47 ± 1.65%) and executive function (ΔRadj2 =2.43 ± 1.63%), respectively. Longitudinal models revealed that hippocampal FW explained substantial unique variance for memory performance (ΔRadj2 = 8.13 ± 1.25%), and outperformed all other biomarkers examined in predicting memory decline (pFDR = 1.95 x 10-11). This study shows that hippocampal FW is a sensitive biomarker for cognitive impairment and decline, and provides strong evidence for further exploration of this measure in aging and AD.

A TOPSIS analysis of regional competitiveness at European level

PurposeThe measurement of regional competitiveness is becoming essential for policymakers to address territorial disparities, while considering the issue of correlations among indicators. Therefore, the purpose of this paper is to measure regional competitiveness using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) by considering different distance measures and two levels of analysis to provide a comparative and comprehensive measurement of regional competitiveness in Europe.Design/methodology/approachThe authors apply TOPSIS based on three different distance measures (the Manhattan, the Euclidean and the Mahalanobis distance measures) to the regions of the EU Regional Competitiveness Index (RCI) 2019, which is taken as the frame of reference.FindingsThe authors replicate the RCI by using TOPSIS with a less preferred choice of distance measure, indicating TOPSIS as a valuable method for policymakers in the analysis of regional competitiveness. The authors argue in favour of the Mahalanobis distance measure as the best of the three, as it considers correlations among macro-economic indicators.Originality/valueThis study aims to make three contributions. Firstly, by replicating the RCI by means of TOPSIS with a less preferred choice of distance measure, the paper provides a benchmark for future research on regional competitiveness. Secondly, by suggesting the use of TOPSIS with the use of the Mahalanobis distance measure, the authors show how to measure regional competitiveness by taking into account correlations among pillars. Thirdly, the authors argue in favour of considering clusters of regions when measuring regional competitiveness.

Competitive Strategy Analysis and Formulation of Selected Strategy Alternatives Through the Blue Ocean Strategy Approach at PT XYZ

PT XYZ is a dairy manufacturing company in an industry that has high competition. Products from PT XYZ are not satisfactory even though the price is competitive, so they often do not reach sales and revenue targets. This research aims to find out the internal and external conditions of PT XYZ and formulate the right strategy to compete in the market. This study uses a qualitative method with a case study approach, collecting primary data through interviews, questionnaires, and observations, as well as secondary data from company literature and other sources. Sampling was carried out by the purposive sampling method and the validity of the data was checked using source triangulation. Data analysis was carried out using various matrices such as IFE, EFE, IE, SWOT, and QSPM, as well as blue ocean strategies for the implementation of the right strategy. The results of the study show that the IFE matrix score is 2.607 and the EFE matrix score is 3.435, so that the position of PT XYZ on the SWOT diagram in quadrant II. From the results of the SWOT matrix, the company has 11 alternative strategies, including 4 SO strategies, 2 ST strategies, 3 WO strategies, 2 WT strategies. An alternative strategy that is the main priority based on the eval_uation of the QSPM matrix is product innovation. The recommended strategy for PT XYZ to face competition is to innovate products. By developing new dairy products that have added value or new variants, PT XYZ can differentiate itself from competitors in the dairy market. These innovative products can attract the attention of consumers who are looking for variety or additional benefits from dairy products. Through this innovative product, PT XYZ can increase sales and expand the market.