Sustainable Profitability Research Articles

Research and Analysis of Connected Transactions and Firms' Listing Denials

Abstract: In recent years, IPO declarations of proposed listed companies in China's A-share market have been rejected more and more frequently due to the issue of connected transactions, which has aroused concerns. The purpose of this paper is to explore in depth the reasons for the rejection of the A-share listing of proposed listed companies and to propose countermeasures to solve the problem of abnormal connected transactions. This article first defines the scope of connected transactions and their problems, analyzes some cases of proposed listed companies being rejected due to connected transactions in recent years, and deeply explores the problems of hidden connected relationships, connected transaction fraud, and connected transaction de-connectedness, etc., and demonstrates the specific manifestations and impacts of these problems through example analysis. Given the findings, the article puts forward a series of recommendations and insights, including maintaining the operational independence of enterprises, improving the sustainable profitability of enterprises, and tightly controlling the truthfulness of corporate information disclosure. These suggestions aim to help enterprises avoid the problems of connected transactions, enhance the success rate of IPO, and promote the healthy development of the capital market.

Players’ continuous willingness to play in MOBA game ranking mode: through the lens of self-determination theory and social comparison theory

Multiplayer Online Battle Arena (MOBA) games are a popular genre in the current gaming field, and the highly competitive ranking mode is one of the core parts of the gameplay, and the study of the factors affecting players’ continuous willingness to play is a necessary issue to ensure the sustainable profitability of these games. This study has developed a conceptual model delineating the continuous willingness of players within the MOBA game ranking mode, employing the frameworks of self-determination theory (SDT) and social comparison theory (SCT). In this study, 396 valid data samples were collected using questionnaire method. The results show that, social comparison enhances players’ continuous willingness and avatar identification, and indirectly enhances their continuous willingness through mediation by avatar identification, while game frustration has a significant positive moderating effect in both paths. This study contributes to both theoretical explorations and practical approaches to MOBA game ranking mode.

Field Demonstration of Indigenous Strains Bacillus thuringiensis and Beauveria bassiana for Sustainable Management of Spodoptera litura in Groundnut

This study by Krishi Vigyan Kendra, Nellore, evaluates the efficacy of biopesticides Bacillus thuringiensis (Bt) and Beauveria bassiana formulations against S. litura compared to conventional insecticides over two growing seasons (2018-19 and 2019-20). Twenty Front Line Demonstrations (FLDs) involving 20 farmers were conducted, with treatments applied when leaf damage exceeded 25%. Results indicated significant reductions in leaf damage (8.40% for biopesticides vs. 8.89% for insecticides) and larval populations. Specifically, larval counts decreased substantially after treatment, with average counts at 50 DAS dropping from 21.29 (FP) to 3.37 (Demo) in 2018-19 and from 22.15 (FP) to 3.53 (Demo) in 2019-20. Economic analysis revealed comparable net returns and benefit-cost ratios for both treatments (1.92 and 1.93 for biopesticides and insecticides, respectively). These findings support the economic viability of adopting biopesticide, promoting sustainable agricultural practices and profitability in groundnut cultivation.

Long-Term Investigation of Nano-Silica Gel for Water Shut-Off in Fractured Reservoirs.

Silicate gels have long been utilized as water shut-off agents in petroleum fields to address excessive water production. In recent years, nano-silica gel has emerged as a promising alternative to traditional silicate gels, offering potentially improved plugging performance. However, the long-term effectiveness of these gels remains uncertain, posing challenges to sustained profitability. Therefore, a comprehensive study spanning 6 months was conducted on fractured and induced channel samples treated with nano-silica gel of 75/25 wt% (silica/activator) at 200 °F. A comparative analysis was performed with samples treated using polyacrylamide/polyethyleneimine PAM/PEI gel (9/1 wt%) to compare the performance of both systems. Throughout the aging period in formation water at 167 °F, endurance tests were conducted at regular intervals, complemented by computed tomography (CT) scans to monitor any potential degradation. The results revealed nano-silica gel's superior long-term performance in plugging fractures and channels compared to PAM/PEI gel. Even after 6 months, the nano-silica gel maintained a remarkable 100% plugging efficiency at 1000 psi, with a maximum leak-off rate of 0.088 cc/min in the mid-fractured sample and 0.027 in the induced channel sample. In comparison, PAM/PEI gel exhibited a reduction in efficiency to 99.15% in the fractured sample (5.5 cc/min maximum leak-off rate) and 99.99% in the induced channel sample (0.036 cc/min maximum leak-off rate). These findings highlight the potential of nano-silica gel as a more durable water shut-off agent for managing water production in fractures and channels.

Utilization of Lean Six Sigma and the DMAIC process on oral treatment regimen entry and consent to improve patient care and mitigate practice risk.

281 Background: Oral medication (chemo/hormone) volumes in oncology treatment selection will continue to increase year over year. In 22’, oral meds accounted for the largest market share in dollars at 51% vs IV treatment at 49%. Oral medication volume is projected to increase by proliferation and utilization, though revenues may decrease due to decreasing drug margins. Medication regimen consent is a critical part of specialty pharmacy accreditation through one of the national accrediting organizations. This accreditation is vital to meeting the requirements and maintaining contracts with pharmacy benefit managers (PBMs) and specialty-focused pharmacy services administrative organizations (PSAO). Without improved and continued consent compliance, OHC was at a significant risk of losing the ability to provide care for this impacted patient population, thus resulting in increased risk of financial toxicity. PBMs and accreditations require quality components be completed to maintain the ability to run a specialty oncology pharmacy. When a new oral prescription is written, the oral must be 1.) entered as a regimen and not a single script-only in the EHR and 2.) must have a completed teaching visit and legal consent. Methods: Following the DMAIC (define, measure, analyze, implement and control) process, OHC’s Lean Team deployed Lean Six Sigma strategies and tools in PY23’ to bridge the gap to goal for both oral medication risk areas. OHC followed the lean methodology A3 process using DMAIC, deployed implementation strategies and curated data analytic reports to ensure oral medications were entered as regimens vs script-only, that teaching/consents were completed, and that the control phase maintained a steady state. Results: In 23’, OHC providers accurately prescribed in the EHR a new oral chemo/hormone at 98% (1037/1055) accuracy vs 22’ at 69% (586/845). Additionally, OHC achieved a 93% (986/1055) teach/consent compliance rate vs 22’ at 59% (499/845). With mitigation of compliance risk (est. at 12,114,000), OHC ensured no loss of pharmacy accreditation and contracts. Increased oral medication teaching visits capture rate increased (n=399) resulting in $114,000 additional return on investment in calendar year 23’. Conclusions: Utilizing Lean Six Sigma tools and the DMAIC process, OHC was able to implement strategies to meet both measure goals in one performance year, resulting in improved patient care, organizational risk mitigation, and sustainable profitability. The results have been maintained in the control phase of PY24’. Lean Six Sigma and the DMAIC process are vital to organization success. Tactics deployed have proven to be reproducible and scalable to other projects. Measure PY2022 PY2023 Goal Oral Medication Regimen NCCN Entry vs Script-only 69% (586/845) 98% (1037/1055) 90% Oral Medication Regimen Teach/Consent 59% (499/845) 93% (986/1055) 93%

Nitrogen and drought management in pearl millet for sustainable productivity and profitability under rain-fed condition of Rajasthan

Nitrogen and drought management in pearl millet for sustainable productivity and profitability under rain-fed condition of Rajasthan

Corporate Sustainable Performance and Profitability: Exploring the Moderating Role of Liquidity and Stock Volatility in Egypt

Corporate Sustainable Performance and Profitability: Exploring the Moderating Role of Liquidity and Stock Volatility in Egypt

A model for assessing the economic impact of renewable energy adoption in traditional oil and gas companies

The adoption of renewable energy presents significant economic implications for traditional oil and gas companies. This paper proposes a model for assessing the economic impact of integrating renewable energy into traditional oil and gas operations, focusing on cost efficiency, revenue potential, and overall financial performance. The model evaluates key metrics, including capital investment, operational cost savings, revenue generation from renewable energy projects, and potential impacts on profitability and shareholder value. By incorporating various renewable technologies such as solar, wind, and geothermal, the model provides a comprehensive framework for understanding the financial benefits and challenges associated with transitioning to cleaner energy sources. The model incorporates both direct and indirect economic impacts, such as reduced energy costs, enhanced energy security, and improved corporate reputation. It also considers the effects of regulatory incentives, including tax credits and subsidies, which can influence the financial viability of renewable energy projects. Additionally, the model examines potential risks and uncertainties, such as market volatility and technological limitations, which can affect the economic outcomes of renewable energy investments. Case studies of traditional oil and gas companies that have successfully integrated renewable energy are analyzed to illustrate the practical application of the model. These case studies demonstrate how companies have achieved cost reductions, diversified revenue streams, and enhanced their long-term financial resilience through renewable energy adoption. The paper concludes that while the initial investment in renewable energy technologies can be substantial, the long-term economic benefits—including cost savings, revenue growth, and alignment with sustainability goals—can significantly outweigh the challenges. By adopting the proposed model, oil and gas companies can better assess the economic implications of renewable energy integration and make informed decisions to drive sustainable growth and profitability.

Inventory classification with artificial intelligence: Conceptual framework

In today's world where competition is increasing harshly, it is important to achieve sustainable profits and keep costs competitive. Under these conditions, the importance of supply chain elements is increasing day by day. Management of inventory costs, which constitute a large volume among cost items, affects the performance of companies. The first step to focus on to keep inventory costs under control and improve is inventory classification. Inventory classification, which is at the top of the supply chain elements and closely affects the subsequent phases, it is critical in determining supply chain performance. Thanks to inventory classification, material groups are determined and stock strategies for these groups are clarified. Incorrect inventory classification causes materials to be assigned to incorrect groups, which negatively affects inventory costs and subsequent phases of the supply chain, causing an increase in costs. The most used methods for inventory classification are ABC analysis, multi-criteria inventory classification and optimization. However, the increasing momentum in artificial intelligence studies in recent years has also closely affected inventory classification. The advantages brought by artificial intelligence methods have also created distinctive contributions to inventory classification studies. This study provides a conceptual framework that examines artificial intelligence methods in the field of inventory classification.

INVESTMENT AND URBAN TOURISM INDUSTRY IN THE CITY OF CONSTANTINE

Global experiences have proven that tourism is one of the crucial economic sectors contributing significantly to the development process, owing to both material and non-material benefits it offers to host regions. Urban tourism, a contemporary type gaining momentum and support, has become increasingly popular in cities worldwide possessing essential tourism resources and attributes. This trend persists because urban tourism operates year-round, unaffected by seasonal or occasional variations. Tourism has evolved into a cornerstone of urban economies, leveraging local potentials to generate sustainable profits and bolstering economic growth. This strategic approach enables cities to assume multifaceted roles supporting development through the utilization of these capabilities. In this context, the concept of stimulating investment in Constantine's tourism sector, which encompasses all the elements necessary for urban tourism—including religious, heritage, and natural attractions—is pivotal. However, the oversight, lack of foresight, and absence of strategic development plans from local authorities have prevented this sector from fulfilling Constantine's esteemed position and potential. Consequently, this neglect has led to the squandering of a valuable economic asset that could otherwise bolster other sectors and drive the city's development. To what extent and through what means can a sustainable tourism industry be cultivated in Constantine by capitalizing on its tourism potential?

Enhancing the fruit yield and quality of pomegranate in a new niche area: Insights into site specific agronomic practices

The sustained higher profitability of a pomegranate orchard relies heavily on the production of a greater proportion of high-quality fruits, a goal achievable through the implementation of effective management practices. The objective of this study is to provide site-specific supplementary knowledge regarding the response of pomegranate plants to various management practices under arid conditions. With the aim of enhancing both marketable fruit yield and quality of pomegranate in arid regions, four separate and simultaneous experiments were conducted in the same orchard to evaluate (i) the response of planting materials derived from tissue culture, air layering, and cutting; (ii) the impact of crop (fruit) load; (iii) the response of crop regulation; and (iv) the application response of organo-mineral fertilizers containing potassium (OMF-K) and phosphorus (OMF-P). The results obtained for plant growth, fruit yield, and fruit quality did not exhibit significant differences among pomegranate plants raised through the three different methods of vegetative propagation. Striking results in terms of producing superior-grade fruits, higher marketable yield, and overall fruit quality were achieved with crop loads of 80 fruits per plant. Staggering the crop regulation from June to September effectively extended the harvesting season to four months, from the last week of November to March, with eventual benefit of reduced fruit cracking compared to the standard two-month harvesting period obtained from normal regulation. Soil application of the indigenously developed OMF-K in two equal splits, along with the recommended N and P through inorganic sources, significantly reduced fruit cracking (only 6.23%) compared to the recommended NPK through inorganic sources (26.9%), while maintaining similar physicochemical quality attributes.

Productivity and Profitability of Diversified Legume-based Cropping Systems in the Indo-gangetic Plains of India as Influenced by Nutrient Management

Background: The continuing adoption of the rice-wheat cropping system (RWCS) and indiscriminate use of inorganic fertiliser has led to a decrease in soil fertility, an increase in multiple micronutrient deficiencies, a decrease in the water table and excessive greenhouse gas emissions, especially in the Indo Gangetic Plains. Adoption of crop diversification strategies, including legumes in cropping systems with integrated use of organic and inorganic nutrient sources, could be a viable option for achieving higher fodder tonnage and sustainable crop production in aforesaid ecologies. Methods: A field experiment was conducted during the kharif, rabi and summer seasons of 2018-19 and 2019-20 in a split-plot design comprising four cropping systems (CS) i.e., rice-wheat, rice-berseem, pearl millet-oats-moong bean and maize-cowpea-wheat in main plots; and four nutrient management (NM) practices i.e., 100% RDF (recommended dose of fertiliser), 100% RDF + cow urine (foliar spray), 100% RDF + PGPR (seed treatments) and 75% RDF + cow urine + PGPR were assigned in sub-plots with three replications of each treatment. Result: Investigations revealed that the significantly highest system productivity, net returns and higher nutrient availability were obtained under the rice-berseem cropping system with 100% RDF + PGPR treatment. The magnitude of increment in system productivity of the rice–berseem cropping system was 35.06, 57.87 and 87.29% over rice-wheat, maize-cowpea-wheat and pearl millet-oats-moong bean cropping system, respectively. The legume-based cropping system has strengthened and sustained crop productivity and profitability. The results of the present work confirmed that the adoption of legume-based crop diversification has significantly alleviated the crop yield of dairy-based farming systems.

The Role of Sustainable Competitive Advantage on Sustainable Finance and Bank Profitability

This study examines the moderating effect of sustainable competitive advantage on the relationship between sustainable finance and bank profitability of Indonesian conventional commercial banks from 2019 to 2022. The study has found that sustainable finance has a positive impact on bank profitability (ROA and ROE). However, the impact of sustainable competitive advantage on bank profitability was only positive with ROA, suggesting that ROA is a more effective indicator of bank profitability for this study. Furthermore, the study indicates that the impact of sustainable finance on bank profitability (both ROA and ROE) is diminished by the delay in the implementation of sustainability reporting during the COVID-19 reporting period. The results of this study are likely to encourage banks to increase their sustainable finance and focus on improving the quality of sustainability reporting in order to gain a competitive advantage in the current banking industry landscape in Indonesia.

Sustainable supply chain management: The right way of doing business in Nigeria

Background: Improved organizational performances and increased competitiveness have been linked to sustainable supply chain management as a strategic tool. In Nigeria, most manufacturing companies seems to be unaware of the importance of this tool in their supply chain processes. Some of their manufacturing outputs are threats to life's existence. Proper adoption of all sustainable practices will not only reduce the cost of production but will also increase business profitability. Purpose: The main objective of this study is to investigate guidelines or practices manufacturing companies in Nigeria must adopt to achieve sustainability in their supply chain management. In addition, to explore the relationship between the outcomes of sustainable supply chain management practices and business profitability among manufacturing firms in Nigeria. Methodology: The research design is a descriptive type. Data was collected using a structured questionnaire that was designed to address each of the research questions. Findings: The findings are presented in tables. It was shown that the general awareness of sustainable practices is a bit above average and the adoption of the practices was seen in varying degrees. Reverse logistics (37%), sustainable warehousing (75%), environmental purchasing (26%) sustainable transportation (4%). Discussions: Adoption of these sustainable practices has been seen to increase sales, improve the corporate image of the firm, and improve information sharing among all stakeholders. However, this adoption is still poor, which means that the manufacturing sector has yet to harness the concept of sustainability as an option for doing business right in the country.

Leveraging Vendavo for Strategic Pricing Management and Profit Analysis

In today's competitive market landscape, effective pricing strategies are paramount for maximizing profitability and sustaining a competitive edge. This paper explores the utilization of Vendavo, a leading pricing and profit optimization software, as a strategic tool for pricing management and profit analysis. Vendavo provides businesses with advanced analytics, allowing for data-driven decision-making that enhances pricing accuracy and responsiveness to market fluctuations. By leveraging its capabilities, organizations can identify pricing opportunities, evaluate customer profitability, and implement strategic pricing models tailored to their unique market segments. The integration of Vendavo into pricing processes facilitates real-time insights and fosters a culture of continuous improvement in pricing practices. This paper examines case studies highlighting the impact of Vendavo on organizations' bottom lines, demonstrating how strategic pricing management can lead to increased revenue, improved customer satisfaction, and enhanced market positioning. Additionally, the study addresses the challenges companies face when adopting sophisticated pricing solutions and offers best practices for successful implementation. Ultimately, this research underscores the importance of leveraging advanced pricing technologies like Vendavo in a dynamic business environment. By adopting a strategic approach to pricing management and profit analysis, organizations can navigate market complexities more effectively, ultimately driving sustainable growth and profitability. The findings advocate for a holistic view of pricing as a critical element of overall business strategy, reinforcing the need for organizations to invest in robust pricing tools to remain competitive.

Sustainability and financial performance in the banking industry of the United Arab Emirates

Today's banking industry achieving sustainable profitability necessitates by integrating economic, environmental, and social factors due to pressing environmental concerns. This study investigates the impact of sustainability on financial performance in the United Arab Emirates (UAE) banking sector, using the Autoregressive Distributed Lag (ARDL) and Bootstrapping ARDL approaches on data from 2002 to 2022. The analysis revealed that economic sustainability, environmental and social sustainability exhibit a significant impact on financial performance in the short run and the long run at a (p < 0.05). 1% of economic sustainability activities increases Return on Assets (ROA) by 0.73 and Return on Equity (ROE) by 0.64. 1% of environmental sustainability activities decreases ROA by −0.28 and increases ROE by 0.35. 1% of social sustainability activities increases ROA by 0.47 and ROE by 0.42. To improve long-term profitability, this study emphasizes how crucial it is for the banking industry in the UAE to strategically integrate sustainability principles. These findings highlight the need to promote sustainability in the banking sector for environmental improvement, offering insights for UAE regulators and stimulating additional research.

Entrepreneurial orientation and product innovation performance: developing the linkages through strategic human resource management and technology capability

Purpose The optimization of product innovation performance (PIP) is paramount to achieving sustained profitability in the face of current organizational challenges. In this study, as researchers, the authors investigate within the context of Saudi Arabian manufacturing firms’ entrepreneurial orientation (EO) direct impact on PIP and its indirect influence mediated by strategic human resource management (SHRM) and technology capability (TC). Design/methodology/approach This co-relational study used cross-sectional data. The authors collected the data from the manufacturing firms’ top management team, chief executive officers and other staff members, including human resource (HR) managers and chief information officers. This study’s conclusions are based on 307 cases. Findings Using SmartPLS4, this study’s findings demonstrate that EO exerts a positive and significant impact on SHRM, PIP and TC. SHRM has a positive and significant effect on PIP. In addition, TC is a positive and significant predictor of SHRM but not PIP. Turning to the mediating impacts, SHRM plays a positive mediating role between TC and PIP and a negative role between EO and PIP. Finally, TC reinforces the negative connections between EO and PIP. Practical implications This study's insights offer valuable guidance to firms and policymakers. They underscore the importance of investing in TC to reinforce SHRM and drive innovation. Moreover, these findings emphasize the need for firms to adopt a dynamic approach that comprises continuous monitoring, adaptation and tailored HR strategies supported by performance metrics. This proactive stance ensures that innovation remains a consistent and impactful element of their long-term strategy. Originality/value This study stands out by addressing existing gaps through its innovative integration of EO, SHRM, TC and PIP within a unified framework. It does so within the specific context of Saudi Arabian manufacturing firms and provides a unique and contextually relevant perspective that contributes to the knowledge body of the area.

Assessing the Feasibility Study of XYZ Company’s New Supermarket Branch in Menteng, Central Jakarta

XYZ Company plans to expand into Jakarta’s supermarket market, leveraging Indonesia’s growth in the food and beverage industries. With a population of 273 million in 2024, urbanization, a rising middle class, and evolving consumer behaviours drive sector growth. XYZ Company, with over 40 successful stores in Bali and Lombok, aims to enter Jakarta’s competitive retail market, dominated by players like Hero Supermarket and Carrefour. This feasibility study uses a mixed-methods approach, including interviews, surveys, financial reports, and market analyses. Financial metrics such as Net Present Value (NPV), Internal Rate of Return (IRR), and payback period indicate the project’s viability, with costs estimated at Rp. 22,858,000,000.00. Marketing analysis, using SWOT, TOWS, and Porter’s Five Forces, reveals opportunities for differentiation through premium product offerings and food courts, enhancing customer experience and foot traffic. Significant opportunities for XYZ Company to differentiate include leveraging the growing middle class and diverse consumer preferences. Integrating food courts within supermarkets, a strategy used by competitors like Transmart Carrefour and Grand Lucky Supermarket, can significantly enhance customer experience. Focusing on premium products and readyto-eat meals can attract a broader customer base. Strategic recommendations involve selecting high-traffic locations, expanding the online presence, and adopting sustainable practices to control costs and appeal to environmentally conscious consumers. The study emphasizes adapting to market trends and maintaining financial prudence for long-term profitability. In conclusion, the feasibility study offers a comprehensive analysis of XYZ Company’s proposed expansion into Jakarta. By focusing on strategic market entry, financial planning, and risk management, XYZ Company can successfully establish its presence in Jakarta’s competitive retail market, ensuring sustainable growth and profitability.

Automated debt recovery systems: Harnessing AI for enhanced performance

Amidst an upsurge in the quantity of delinquent loans, the financial industry is experiencing a fundamental transformation in the approaches utilised for debt recovery. The debt collection process is presently undergoing automation and improvement through the utilisation of Artificial Intelligence (AI), an emergent technology that holds the potential to revolutionise this sector. By leveraging machine learning, natural language processing, and predictive analytics, automated debt recovery systems analyse vast quantities of data, generate forecasts regarding the likelihood of recovery, and streamline operational processes. Debt collection systems powered by AI are anticipated to be compliant, precise, and effective. On the other hand, conventional approaches are linked to increasing expenditures and inefficiencies in operations. These solutions facilitate efficient resource allocation, customised communication, and rapid data analysis, all while minimising the need for human intervention. Significant progress has been made in data analytics, predictive modelling, and decision-making through the application of artificial intelligence (AI) in debt recovery; this has the potential to revolutionize the financial sector’s approach to debt management. The findings of the research underscore the criticality of artificial intelligence (AI) in attaining efficacy and precision, in addition to the imperative of a data-centric framework to fundamentally reshape approaches to debt collection. In conclusion, artificial intelligence possesses the capacity to profoundly transform the existing approaches utilized in debt management, thereby guaranteeing financial institutions’ sustained profitability and efficacy. The application of machine learning methodologies, including predictive modelling and logistic regression, signifies the potential of the system.

Challenges and Opportunities in the Livestock Industry for higher productivity and sustainability: The case of Albania

The livestock sector plays an important role in the economic development of the country. This sector is a source of income and employment for many Albanian families who live mainly in rural areas. A large part of the population in our country deals with livestock. But regardless of all the contributions that livestock makes to the food chain, financial sustainability, and the entire economy, this sector faces many challenges. Based on the literature review, a questionnaire to identify these challenges was constructed. The questionnaire contains questions with answers on the Likert scale, is addressed to livestock farmers in Albania, and serves to identify the main challenges affecting the livestock sector. The questionnaire divided the challenges of the livestock sector into five parts, including animal welfare and livestock production, sustainable practices and environmental sustainability, market challenges, information, communication technologies and livestock marketing challenges, and challenges of innovations in livestock production. Animal welfare affects the productivity of the livestock sector. The risk of the spread of epidemic diseases and the high costs of vaccination and medications are a concern for Albanian farmers, who often have difficulties ensuring sustainable profits. In recent years, the livestock sector has faced high input costs. Lack of infrastructure also hinders the efficiency of the livestock sector. The need for sustainable practices and environmental sustainability demands more attention. While farmers want to adopt sustainable livestock methods, they face difficulties in implementing them. Unpredictable livestock prices complicate financial planning for farmers. In addition, small farms face challenges competing with larger ones. Farmers face difficulties in becoming part of new markets due to a lack of effective marketing channels. The lack of a labor force is the biggest challenge that the livestock sector in Albania is facing. Innovation often serves to solve many problems in the livestock sector. Farmers use new technologies to increase livestock productivity. But the use of new technologies requires knowledge, which Albanian farmers often don’t have. They do not have the proper education to understand and apply these technologies. In conclusion, this paper aims to highlight the various problems faced by the livestock sector. Overcoming these problems by dealing directly with them can increase the productivity of the livestock sector, ensuring a better future for the industry.