Productive Efficiency Research Articles

Hybrid six sigma based on recursive kalman filter and weibull distribution to estimate the lifespan of Bulb LEDs

The durability of LED bulbs ensures that the lights can operate for a long time without needing to be replaced or maintained too often. The brightness of high-power LED bulbs provides a strong and efficient light source, saves energy, and has a long lifespan. The traditional method of testing LED bulb life span has limitations such as long testing time, limited accuracy, high cost, inability to predict accurately, and failure to respond quickly. Therefore, the development of new and improved testing methods is necessary to effectively and accurately evaluate and ensure the durability of LED bulbs. This research paper proposes a hybrid Six Sigma method based on the recursive Kalman filter and Weibull distribution to estimate the lifespan of Bulb LEDs. The goal of the new method for evaluating LED bulb life is to provide accurate, reliable, and multi-dimensional information about the life of LED lamps, meeting the requirements of accuracy, diversity, time-saving, resources, credibility, and the ability to evaluate from a variety of perspectives. As a result of the research, the recursive Kalman filter method has strengths such as high accuracy, flexibility, saving computational resources, the ability to handle inaccurate data, and scalability. When applied to LED bulb life assessment, it provides an accurate and reliable estimate of LED lamp life. Research results on longevity testing were reduced from 1650 h to 710 h. The end-of-life test time is 710 h, and the aging time per life test cycle is 135 h. The cost of life testing is reduced from 2100.17 USD to 410.12 USD. This LED bulb lifespan testing method can be applied to similar types of LED products to improve the company's productivity and business efficiency.

Effect of postbiotics on the productive traits and economic efficiency of broiler chickens

The metabolized substance was produced in the laboratory (postbiotics), according to three successive stages. The first stage included: isolating and identifying lactic acid bacteria from the ileum area in the small intestine of poultry, while the second stage included: activating the isolated bacteria on sterilized sorted milk media for three consecutive times. The third stage included: producing the biologically metabolized substance or biologically active compounds, in the form of a fine powder. This substance was added to the diets of broilers at a level of (0, 1, and 2) g /kg feed, for three experimental treatments, T0, T1, and T2, respectively, during the rearing period of 35 days. To study its effect on the productive traits and economic efficiency of broilers. The results of the statistical analysis showed: a significant improvement (P≤0.05) in the rates of body weight and weight gain, in addition to a significant improvement (P≤0.05) in the food conversion rate and in the economic efficiency measure in favor of the postbiotics T1 and T2 treatments compared to the control treatment. T0, while there are no significant differences in the rate of feed consumption between all the treatments studied.

Effects of different levels of irrigation suppression and fertigation on potato yield

With the limitation in the availability of water for agriculture and the high costs of fertilizers, it is necessary to adopt strategies for water and nutritional management of agricultural crops. The objective of this study was to evaluate the morphological and physiological characteristics and productivity of potato under the influence of suppression of irrigation and fertigation in Jaboticabal, SP, Brazil. The experiment was carried out in randomized blocks, conducted in the field, using a 3 x 2 factorial scheme. Different times of irrigation suppression were studied at 80, 90 and 100 days after planting, along with forms of fertigation, following the rate of crop absorption and equivalent fertigation. The imposition of irrigation suppression at 100 days, linked to fertigation following the rate of crop absorption, showed a positive effect on the aerial fresh mass of the potato variety studied, especially promoting the increase in productivity, which was 47.82 t ha-1, and efficiency in water use, which was 10.53 kg of tubers per cubic meter of water. This observation indicates that the application of fertilizers, in sync with the needs of the crop, can improve the efficiency of water use and increase productivity. These findings highlight the importance of integrated strategies to optimize potato cultivation and make it more resistant to adversity, seeking a more sustainable and productive agriculture.

Optimizing Seeding Ratio for Legume Forage to Maximize System Productivity and Resource Use Efficiency in Mixed Cropping Systems

Optimizing Seeding Ratio for Legume Forage to Maximize System Productivity and Resource Use Efficiency in Mixed Cropping Systems

The effect of climate-smart agriculture on productivity and cost efficiency: Insights from smallholder wheat producers in Pakistan

The effect of climate-smart agriculture on productivity and cost efficiency: Insights from smallholder wheat producers in Pakistan

Financial Technology Innovation and Business Growth of Small and Medium-Scale Enterprises in Port Harcourt, Rivers State, Nigeria

This study empirically examined the relationship between financial technology (FinTech - proxied by Internet Banking and Mobile Payment) innovation and business growth (proxied by productivity and operational efficiency) of Small and Medium-Scale Enterprises (SMEs) in Port Harcourt. The study was underpinned by the theory of Technology Acceptance Model (TAM) and the Diffusion of Innovation Theory (DIT). The study adopted a cross-sectional research design and the population was the 1016 registered SMEs in Port Harcourt with a sample size of 287. Spearman’s Rank Correlation and Partial Correlation were used to test the five hypotheses that guided the study. The findings showed a positive and significant relationship exists between financial technology innovation and business growth. Based on these findings, the research concluded that financial technology innovation is a business solution and a formidable management strategy that SMEs can deploy to improve their business growth. It recommends therefore that SMEs who want to improve their business growth should invest more in FinTech innovations such as Internet banking and mobile payment, as these digital solutions have a significant impact in improving productivity and operational efficiency (business growth).

Thermodynamic evaluation of decarbonized power production based on solar energy integration

This study aims to create an environmentally friendly system by utilizing solar and biomass energies as renewable sources, employing high temperature and pressure ranges for analysis. A new energy system is introduced, using biomass to produce hydrogen and other valuable commodities. The study evaluates power and hydrogen production technologies from a thermodynamic perspective, including conventional biomass gasification, calcium and iron thermochemical looping cycles, and gasification with supercritical water, incorporating carbon capture techniques. It assesses and compares the performance of locally available biomass material, such as cotton stalk, during gasification. Results show that employing the supercritical water gasification cycle yields the highest hydrogen production (8330 kg/h) and carbon capture rate (92.91 %), with potential for significant reduction in CO2 emissions. Supercritical water gasification also demonstrates electricity, heating, and CO2 production rates of 51.48 MW, 23.3 MW, and 16.6 MW, respectively. Integrating supercritical water gasification with solar energy enhances syngas productivity and system efficiency. Additionally, the highest performance is demonstrated in the SCWG case, which exhibits the lowest irreversibility at 320.32 MW. In conclusion, the system with supercritical water gasification emerges as the most efficient biomass conversion method, with higher energy and exergy efficiencies of 67.59 % and 49.74 %, respectively, under specific operating conditions. The developed model facilitates integration of solar energy into biomass gasification, enabling prediction and comparison of performance in terms of energy and exergy efficiencies.

Organic substitution regime with optimized irrigation improves potato water and nitrogen use efficiency by regulating soil chemical properties rather than microflora structure

Context or problemImproving water and fertilizer use efficiency is an inevitable choice for sustainable potato production in North China. However, the regulation mechanism of potato water and nitrogen use efficiency under water-nitrogen coupling (W-N) regime is still unknown. Objective or research questionThe objectives from a 3-year field experiment were (1) to assess the impact of W-N regimes on potato yield and water and nitrogen use efficiency, (2) to elucidate the soil microflora structure under W-N regimes, and (3) to determine the relationship between soil chemical properties, microflora structure, and potato water and nitrogen use efficiency. MethodsA three-year two-factor split-zone potato field experiment was conducted in arid and semi-arid regions of the Inner Mongolian Plateau, with irrigation [(rainfed (W0), optimized (soil-based) irrigation (W1), conventional irrigation (W2)] as the primary treatment and N fertilizer [no N (N0), chemical N (N1), 25 % manure substitution (N2)] as the secondary treatment. ResultsPotato yield and water productivity followed N2 > N1 > N0, and partial nitrogen productivity and nitrogen agronomic efficiency followed N2 > N1 at the same irrigation level. Potato yield, nitrogen internal efficiency, partial nitrogen productivity and nitrogen agronomic efficiency first increased and then decreased, whereas water productivity gradually decreased with increasing irrigation levels under the same fertilization regime. Moreover, potato yield, soil total nitrogen, organic carbon, and microbial biomass carbon and nitrogen content peaked with the W1N2 regime. W-N regimes significantly influenced soil microbial community structure. Soil microbial α-diversity was less variable under W1 and N2 conditions. Soil bacterial network complexity and robustness were higher in W1 and W2 than in W0 regimes, whereas the opposite was true for fungi. The complexity and robustness of the soil bacterial and fungal network demonstrated for three fertilization regimes were higher in N1 and N2 than in N0 regimes. Neutral community model showed that soil microflora in W-N regime was mainly influenced by stochastic processes. PLSPM showed that organic substitution regime with optimized irrigation improves potato water and nitrogen use efficiency by regulating soil chemical properties rather than microflora structure. ConclusionsW1N2 regime synergizes well to improve potato water and N use efficiency and soil microflora stability, and organic substitution regime with optimized irrigation improves potato water and nitrogen use efficiency by regulating soil chemical properties. Implications or significanceOur findings initially clarified the regulatory mechanisms of potato water and nitrogen use efficiency in North China, offering theoretical guidance for further optimizing irrigation and fertilization management.

Replacement Nellore heifers receiving supplementation under different herbage allowance: effects on forage characteristics, performance, physiology, and reproduction

In Brazil, heifers typically calve at 36–48 months. Due to the high demand for meat and the need to reduce slaughter age, high supplementation has become commonly used in beef cattle farming. However, the literature remains scarce on studies that explore the impact of grazing management during the background phase on the productivity and reproductive efficiency of young Nellore heifers. This study aimed to evaluate the effects of two-herbage allowances (HA) on forage characteristics, performance, physiology and reproductive parameters of replacement Nellore heifers. Ninety weaned heifers [169 ± 19 kg of shrunk body weight (SBW); 210 ± 28 days of age] were blocked by initial BW and randomly assigned to receive different HA: (1) High herbage allowance (HHA: 7.2 kg DM/kg BW) and (2) Low herbage allowance (LHA: 3.3 kg DM/kg BW); and divided into six paddocks, totaling 12 paddocks. The experimental period was divided into the growing phase (D173) and the reproductive season (D83). Continuous stocking with a variable stocking rate was used. The supplement was provided daily with expected intake of around 10 g/kg of BW. The HHA pasture showed greater values of canopy height, greater HA, and lower values of CP and CP: in vitro digestible DM ratio than the LHA pasture over the days of the study (P ≤ 0.05). Herbage mass and the green stem proportion were lower in LHA pasture (P < 0.01), while the green leaf (g/kg DM) and senescent stem proportions (g/kg DM) were higher (P = 0.080) when compared to HHA pasture. Heifers maintained on HHA pasture had a higher average daily gain (P < 0.01), forage intake (P < 0.003), higher SBW (P < 0.01), Longissimus area (P < 0.01), and 12th-rib fat thickness (P < 0.01) than those kept in the LHA pasture. The proportion of heifers that reached the weight at maturity on D173 (P = 0.027) and the proportion of pubertal pregnancy heifers (P = 0.042) were greatest in the HHA treatment. The blood urea nitrogen (P = 0.002) was higher in heifers maintained in the LHA pasture. Heifers maintained in HHA pasture showed higher values of relative abundance of mRNA for UGT1A6 (P = 0.004) and IGFBP3 (P = 0.072). The use of HHA criteria increased forage intake, body gain, and carcass attributes of animals, which led to better reproductive performance of Nellore heifers.

Assessing energy efficiency, regional disparities in production technology, and factors influencing total factor energy productivity change in the agricultural sector of China

Efficiently utilizing the energy resources in the agriculture sector to produce more agricultural output with minimum environmental degradation is a shared global challenge. The Chinese government has introduced various policies aimed at enhancing energy efficiency (EE) and total factor energy productivity (TFEP) while addressing regional technological disparities in the agricultural sector. This study utilized DEA Super-SBM, Meta frontier Analysis, and the Malmquist–Luenberger index to assess energy efficiency, changes in total factor energy productivity, and the regional technology gap ratio (TGR) across 30 provinces in mainland China and three distinct regions during the period from 2000 to 2020. The findings reveal that the average EE in China's agricultural sector is 0.8492, indicating that, on average, there is a 15.08 % potential for improvement in EE growth within the sector. Qinghai (1.5828), Shanghai (1.3716), and Hainan (1.3582) are found to be the top 3 performers with the highest EE levels. The Eastern region demonstrates high excellence in EE, with a value of 1.0532. The TGR value of Zhejiang indicates the superior production technology utilized in the agriculture sector to utilize energy resources efficiently. Except for Zhejiang, the TGR of Liaoning, Jiangsu, Shanghai, Guangdong, Ningxia, and Hainan is above 0.96 and near 1, indicating superior production technology in the agriculture sector of China. The Technology Gap Ratio (TGR) of China's eastern region is superior to that of the central and western regions, consistently approaching 1. This suggests that the eastern provinces possess more advanced agricultural technologies, allowing them to optimize resource utilization for maximum output. The Malmquist–Luenberger index (MLI) score of 1.103 indicates a 10.3 % growth in the total factor energy productivity of China's agricultural sector. Further analysis reveals that this growth is primarily driven by technological change (TC), with a TC value of 1.080 surpassing the efficiency change (EC) value of 1.028. Among the three agricultural regions, the eastern region exhibits the highest total factor energy productivity. Specifically, Zhejiang (1.23), Shanghai (1.197), Liaoning (1.184), and Hebei (1.147) are identified as the top performers in total factor energy productivity growth in China's agricultural sector. Additionally, the Kruskal-Wallis test confirmed statistically significant differences in EE and TGR among the three regions.

Evaluating the Performance of Alternate Wetting and Drying Irrigation Technology: An On-farm Rice Case Study in An Giang Province, the Mekong Delta of Vietnam

Alternate wetting and drying irrigation (AWD) is a promising technique that has been tried across Southeast Asia to reduce water consumption and methane emissions in irrigated rice cultivation. The study conducted in the upper Vietnamese Mekong Delta compared the effectiveness of plant growth, yield components, and yield under three different water application regimes: the treatments of community AWD (AWD_C), household individually (AWD_H), and continuous flooding (CF) with the expectation to explore the ability to use water effectively in rice cultivation. The results showed no significant difference in water use between the three treatments. However, there was a considerable difference in coefficient of variation value (CV); the CV value of the water column in the AWD_C (1.32%) was a significant difference from that of AWD_H (0.87%) and CF (0.89%). The mean chlorophyll content, the yield, and the weight of 1,000 grains of the AWD_H treatment were significantly higher than that of the other two treatments. In another aspect, the water productivity of the AWD_H treatment was the highest (0.66 kg/m3), a statistically significant difference compared to the AWD_C and CF (0.37; 0.33 kg/m3). In conclusion, the AWD_H shows efficiency in leaf chlorophyll content, 1,000-grain weight, yield, and water productivity. The AWD_C is inferior to the AWD_H due to the large variation of field elevation. It is noted that field elevation is critical to the technique’s success in being applied on a large scale.

Revealing the Nexus between Fertilizer Composition and the Performance of Common Bean (Phaseolus vulgaris L.) Genotypes in the Himalayan Heartland of India

Gaining insight into the interplay between crucial fertilizers and their impact on crop characteristics is crucial for enhancing the agricultural output and promoting sustainable crop administration. The objective of this study was to assess the growth, productivity, and nutrient-use efficiency (NUE) of common bean genotypes with varying levels of NPK. In the RCBD field study, three genotypes of common bean were cultivated—SKUA-WB-5000/1446 (V1), SKUA-WB-5002/185 (V2), and SKUA-WB-5003/1492 (V3)—together with six combinations of NPK (N2:P2O5:K2O kg ha−1). The findings indicated that the height of the plants had a positive correlation with elevated NPK levels subsequent to the maximum point in NPK 10-20-10. The V1 genotype exhibited superior growth and productive traits, particularly with regard to its higher seed index and much greater quantity of pods plant−1. This indicates that the V1 genotype may be a suitable choice for cultivating common beans and highlights the importance of adjusting nutrient levels to ensure sustainable crop management. This study suggests applying 30-60-30 NPK kg ha−1 of fertilizer for genotypes V1 and V3, while genotype V2 should receive 40-80-40 NPK kg ha−1 under rainfed circumstances.

Analysis of the Multi Objective Optimization by Ratio Analysis (MOORA) Method in Determining Pilot Areas at PT. XYZ

This research analyzes the application of the Multi Objective Optimization by Ratio Analysis (MOORA) method model in determining the Pilot Area at PT XYZ. This method is used to evaluate various performance criteria, including customer satisfaction, productivity, service quality, and operational efficiency. Currently, the Pilot Area assessment and selection process at PT XYZ is still done manually, which causes a lack of accuracy and efficiency. MOORA was chosen for its ability to handle multi-criteria decision-making problems more systematically and objectively. The analysis results showed that Alternative Area 7 obtained the highest final score of 0.39, placing it as an area with superior performance. The application of MOORA is proven to improve accuracy and efficiency in the Pilot Area determination process, providing a more objective basis for decision-making. By using MOORA, PT XYZ can evaluate area performance more comprehensively and accountably. This research recommends that PT XYZ implement the MOORA method thoroughly and conduct periodic evaluations of the methods used. For theory development, PT XYZ can add specific evaluation criteria according to company needs. The implementation of these suggestions is expected to improve the quality of service and competitiveness of PT XYZ in the global market. Further research is expected to compare MOORA with other methods to strengthen the validity of the results. Thus, this research not only provides a practical contribution to PT XYZ but also adds academic insight into the application of multi-criteria optimization methods in the context of performance management and service improvement.

Assigning Medical Professionals: ChatGPT's Contributions to Medical Education and Health Prediction

Artificial intelligence is increasingly present in many applications that help humans accomplish many tasks. It can support improved results, increased productivity, and high efficiency in providing services. Systems developers seek to integrate improved artificial intelligence models into the development of healthcare services and make a significant qualitative shift in the medical field. One recently invented tool is ChatGPT, which deserves extensive advertising space. This tool provides sample answers that help both healthcare workers and patients answer all their questions. It is an important tool in medical education, increasing knowledge in making decisions that can improve the performance of medical professionals. The impact of this tool must be addressed because it is in a developed stage, and there are a good number of articles widely circulating that speak to and explain its importance at present. In this article, the importance and role of the ChatGPT tool in developing healthcare services and the tangible and informational information that is provided will be described, as well as the possibility of predicting diseases and diagnosing and treating patients.

Avaliação da contagem de células somáticas e comportamento de vacas leiteiras alimentadas com promixalicina

To improve productivity, dairy producers are increasingly seeking to improve the productive efficiency of the herd. Therefore, the present study was carried out on a private property in the city of Santo Anastácio, in the region of Presidente Prudente/SP (Brazil), characterized by a milk production system in more concentrated pasture, with supplementation of roughage for the animals in the winter months. 16 lactating cows of the Holstein, Girolanda and crossbred breeds (average weight of 480 kg) were used. The objective of this work was to evaluate the effect of adding Promixalicin to the diet on the behavior of lactating cows, and on the SCC (Somatic Cell Count) of the animals' milk. The animals were analyzed for 180 days, but Promyxalicin was supplied from the 61st to the 120th experimental day. Animal behavior was observed in relation to head and tail shaking, and animal restlessness due to attacks by ectoparasites (Haematobia irritans, Stomoxys calcitrans and ticks). Monthly SCC measurements were taken of the animals' milk in the first week of each month, throughout the experimental period. It can be inferred that, on the day the Promyxalicin supply began (day 61), the animals showed many stress behaviors such as tail wagging, head shaking and restlessness. Its benefits were significant from the 7th day after using the product (67th day), implying its efficiency for the evaluation of ticks on animals. 15 days after the start of supplying the product (75th experimental day), there was a significant reduction in the number of ticks remaining on the animals. Regarding SCC, the use of Promyxalicin proved to be effective as it significantly improved the animals' SCC within just 30 days of using the product. The use of Promyxalicin for lactating cows improved animal well-being due to the repellence of ectoparasites, and significantly reducing the SCC of the milk, indicating an improvement in animal performance, mainly due to the improvement of conditions for increased milk production.

Efficacy of fertilizer nitrogen source, stabilizer, and application timing for corn nitrogen nutrition

AbstractEnhancing fertilizer nitrogen use efficiency (NUE) in corn (Zea mays L.) production is critical for closing yield gaps, increasing producer profitability, and promoting environmental stewardship. In 2014 and 2015, a field experiment was conducted to determine the potential for fertilizer N stabilizer products to improve NUE of granular urea and urea ammonium nitrate (UAN) solution applied to strip‐till corn. A urease inhibitor (UI) or nitrification inhibitor (NI) or both were added at labeled rates to urea or UAN solution for a target rate of 180 kg N ha−1. At V3, a single application of broadcast granular urea and subsurface banded UAN solution with and without fertilizer N stabilizers was made. A split application (50% at V3; 50% at V6) of subsurface banded UAN solution served as a control representing a standard grower practice. Fertilizer N stabilizers improved components of NUE, such as grain N recovery efficiency (GNRE) and partial factor productivity (PFP). A single full rate UAN application did not differ in terms of grain yield each year but did result in less PFP and GNRE in 2015 as compared to the grower standard practice. A timely one‐time full season N rate subsurface banded application of UAN treated with UI and NI to improve NUE could be a viable substitute for the practice of multiple fertilizations. Untreated broadcast urea was inferior to UAN as a N source for corn, but when treated with both a UI and NI, NUE was improved.

Effect of S. cerevisiae strain KA500 supplementation on feed performance, feed efficiency, and digestion ability in feedlot buffaloes.

Live yeasts have favorable characteristics for use in animal feed, and may become a beneficial tool to improve digestive efficiency in buffaloes (Bubalus bubalis). The productive performance, feed efficiency, and digestion ability of buffaloes fed diets supplemented with yeast (Saccharomyces cerevisiae strain KA500) were evaluated. Eighteen male Murrah buffaloes, with initial weight 250 ± 31 kg (mean ± standard deviation), and aged approximately 12 months, were randomly assigned to one of two treatments. The treatments included experimental feed containing 10 g of the live yeast capable of forming 2 × 1010 colony forming units (CFU) and control (feed with no added yeast). The daily weight gain tended to be lower (p = 0.07) in buffaloes supplemented with yeast. There was a reduction in daily dry matter intake (DMI) and in % yield of live weight in buffaloes supplemented with yeast. There was no effect of live yeast supplementation on weight gain/kg dry matter intake, height at withers or rump, body condition score, total weight gain, carcass yield, plasma urea nitrogen concentrations, purine derivatives, and plasma glucose concentrations. The digestibility of dry matter (DM) and organic matter (OM) were lower (p < 0.05) with the supplementation of live yeast, although live yeast supplementation did not affect the digestibility of neutral detergent fiber (NDF) and non-NDF OM. The strain and dosage of live yeast used did not have a positive effect on buffalo performance and digestibility of dietary nutrients.

Adopsi Internet of Things dalam Budidaya Labu Madu di Kawasan Pertanian Urban

&lt;span lang="EN-US"&gt;Badran Village is known for its signature honey pumpkin cultivation, which is managed by the village's Women Farmers Group (KWT). These honey gourds have a high selling value in the fruit market, ranging from Rp35,000 to Rp80,000 per kilogram. However, the crop watering system in Badran Village is still conventional, causing challenges in maintaining sufficient and regular irrigation for the honey pumpkin crop which is highly dependent on water supply. In an effort to increase productivity and water-use efficiency in honey pumpkin cultivation, the KKN Team of Sebelas Maret University Group 33 proposed a work program in the form of an Automatic Drip Irrigation System. This system utilizes Internet of Things (IoT) technology with NodeMcu ESP8266 as the control board and Blynk platform to allow remote supervision and control of the device via smartphone. The use of this technology is expected to help KWT and other urban farmers in maximizing their agricultural yields and reducing water wastage. The results of the KKN Group 33 activities in Badran Village show that the construction of the drip irrigation system went smoothly according to schedule. The construction of this automatic drip irrigation system is expected to help KWT in increasing the potential of honey pumpkin farming as well as agricultural tourism attraction in their village. This research also provides room for improvement by incorporating soil moisture sensors or automatic scheduling based on time, which can further increase the efficiency of this system&lt;/span&gt;

Effect of Moisture Conservation Practices on Productivity, Profitability and Water Use Efficiency in Rainfed Linseed (Linum usitatissimum L.) under Mid Hill Conditions of Himachal Pradesh

Effect of Moisture Conservation Practices on Productivity, Profitability and Water Use Efficiency in Rainfed Linseed (Linum usitatissimum L.) under Mid Hill Conditions of Himachal Pradesh

The Influence of Industry 4.0 on Work Behavior and Employee Productivity in Technology Companies

Industry 4.0, characterized by automation, artificial intelligence (AI), and big data, has revolutionized work dynamics and productivity in technology firms. This transformation necessitates employees to acquire new skills and adapt to a more agile and intricate work setting. This study employs the Systematic Literature Review (SLR) method to scrutinize how Industry 4.0 influences work behavior and employee productivity. The SLR method gathers and analyzes pertinent literature from diverse sources such as scientific journals, books, and industry reports, applying inclusion and exclusion criteria to ensure relevance and reliability. A qualitative approach identifies key themes from the literature. The analysis reveals that Industry 4.0 induces substantial shifts in work behavior, emphasizing the importance of flexibility and adeptness with new technologies. Enhancing digital skills through training is crucial to boosting productivity. Transformational leadership emerges as a catalyst for fostering employee motivation and performance. Effective human resource management and prioritization of employee well-being are also pivotal in navigating challenges and harnessing opportunities associated with Industry 4.0. The adoption of Industry 4.0 technology yields significant benefits in enhancing employee productivity and operational efficiency. However, it necessitates profound changes in HR management strategies and skills development. Technology firms must invest in cultivating digital competencies, implementing transformational leadership practices, and cultivating supportive work environments to fully capitalize on this transformation. These insights furnish actionable guidance for companies seeking to optimize employee productivity in the digital age.