South Eastern University of Sri Lanka

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    6507 research outputs found

    Impact of social commerce constructs on consumer buying intention

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    Purpose: The current paper aims to measure the impact of impact of social commerce constructs on consumer buying intention. Design/methodology/approach: An empirical study was executed to assess the impact of SCCs on buying intentions among consumers. The constructs of SCCs include three constructs, i.e., Recommendation and Referrals, Forums and communities, and Ratings and reviews. The other two constructs are trust and buying intentions. The data was collected through a survey conducted in Bangaluru city. The targeted populations were the consumers using social networking sites. 1000 consumers were identified from various sources for the main survey. The questionnaire was distributed through the Google forms. The questionnaire, which WhatsApp sent, and email, requested consumers to participate in the survey. Out of 1000 consumers, 900 consumers were filled and returned it. Out of 900 responses, 29 responses were discarded, and the remaining 871 responses were used for the final study, this will be considered as sample size for the study. Findings: The study found that Web 2.0 applications attract individuals to interact and generate content on the internet. Consumers begin with it well and become customers by its trust and deluge of information on products. The study findings, inferences, limitations, and further deep research scope are work. Practical implications: This study provides valuable insights to retailers to formulate their social commerce strategies as per decision factors results to have maximum engagement of consumers in social commerce. The consumers begin with it well and become customers by its trust and deluge of information on products.Research limitations: The study responses were accumulated from the consumers who were engaged in social commerce purchases in the study region. Originality value: This research outcome proposes the exclusive model for finding the social commerce intentions and use behavior of consumers using social support theory, relationship marketing presumption and information systems literature

    Crank-Nicolson scheme to numerically solve time-dependent schrödinger equation

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    The Schrödinger equation is one of the fundamentals of quantum theory, which deals with the study of microparticles. The time-dependent Schrödinger equation (TDSE) encodes the information of a non-relativistic quantum mechanical system. In this study, we have investigated the numerical solution techniques to solve TDSE, which involve partial differential equations (PDEs). The Crank-Nicolson scheme is the average of the explicit scheme of forward time-centered space and the implicit scheme of backward time-centered space of finite difference methods. This scheme is derived from the Taylor series expansion of second-order accuracy and given a better approximation with exact solutions. We have chosen this scheme in this study because it is unconditionally stable and attractive for computing unsteady PDE problems. Also, the accuracy of this scheme can be enhanced without losing the stability of the problem at the same computational cost per time step. Further, the scheme converges faster than other numerical methods for the solutions of PDEs. We have examined the complex valued TDSE using the Crank-Nicolson method with different initial and boundary condition testing examples. We have also used the simulation techniques of the MATLAB software to get the numerical results and two-dimensional graphical representations for the various parameters involving the initial and boundary conditions. When comparing the numerical results obtained, we have observed a pattern that is approximately converging by decreasing the time and space interval steps. Similarly, there is a pattern of increasing the accuracy by increasing the total time values

    A reliable method for assessing energy consumption in a leading plastic manufacturing factory in Sri Lanka

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    Energy management is an essential aspect of modern manufacturing operations, as it can help organizations reduce costs, enhance efficiency, meet regulatory requirements, and improve competitiveness. The current practice of monitoring the energy consumption in many plastic manufacturing factories is through Specific Energy Consumption (SEC). A finding in this study reveals that incorrect SEC values may lead to invalid interpretations of energy efficiency, resulting in adverse effects on cost optimization strategies. This study proposes a reliable method for assessing energy consumption in a plastic manufacturing factory, highlighting the importance of considering various metrics and indicators in addition to SEC for energy performance evaluation. This study recommends further research to minimize energy waste and emphasizes the importance of regularly reviewing and adjusting energy management practices and targets to promote maximum energy savings. Moreover, the study suggests regression analysis as a useful tool for predicting future energy consumption and can serve as a better indicator than SEC values in certain cases

    Review of measurement item of management students’ learning environment factors: framing EFA & CFA

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    This research is carried out to review the measurement items of the present MBA students satisfying the expectation of the corporate world. A total of 294 respondents’ data is collected for the research. The variables used for the study are Quality education, Industry Institute Collaboration, Skill-based education and Student behavior. The data is used for the analysis descriptively for reliability, Confirmatory Factor Analysis (CFA) and Exploratory Factor Analysis (EFA) using AMOS software. It is found from the results that Cronbach alpha is very high, and CFA confirmed with four-factor analysis that the data fit with the model. The study proposed a model for students to satisfy corporate expectations

    Analysing the measurement item of employee entrepreneurial behaviour (EEB) using EFA and CFA

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    This study is being conducted to analyse a measurement item of Employee EntrepreneurialBehavior(EEB) in the IT industries using a structured questionnaire .The variables used in this study are innovativeness,proactiveness and risk taking. The data is collected from 410 respondents. Whilemost earlier studies focused on students as respondents, the current study proposes to close thisresearch gap by focusing specifically on IT employees. The data is used to analyze the Reliability, Confirmatory Factor analysis(CFA), and Exploratory factor analysis(EFA) using AMOS software. The result of Cronbach alpha depicted to be very high for each variable, CFA and EFA resulted be positive

    Anthocyanin from red beetroots for sensing and removing nickel ions from water

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    Anthocyanin is a natural colorant that is suspected to have chelation ability with metal ions. In this study, anthocyanin was extracted from red beetroots (Beta vulgaris), purified by chelating with basic lead acetate, reconverted, and used for qualitative analysis with the addition of various heavy metal ions (Cd2+, Ni2+, Fe3+, Cr3+) that are considered as environmental pollutants. The aim was to investigate whether anthocyanin could be used as a sensing and chelating material for harmful heavy metal ions from water. UV-visible spectra were recorded within the same wavelength range (200 nm-900 nm) while adding micro drops of highly concentrated known aqueous solutions of these metal ions (0.1 M) to the anthocyanin solutions prepared by dissolving 0.100 g of precipitated anthocyanin in 3 mL of 5% HCl in methanol. Unlike the other heavy metal ions studied, only Ni2+ showed some spectral changes with an isosbestic point at λmax ~ 430 nm, in 5% HCl in methanol at pH 4.5, indicating Ni2+ to anthocyanin interaction, probably through coordinating anthocyanin to Ni2+ center. The spectral data also showed the appearance of a new band around 400 nm, upon adding Ni2+. Hence, this study could be developed for using anthocyanin extracted from red beetroot for detecting Ni2+ present in water

    Production of agar extracts from red seaweed gracilaria lemaneiformis by means of simplified extraction protocols with prescreening of microplastics

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    Red algae (Class Rhodophyceae) are seaweeds with a high economic trend in agar production. As Sri Lanka is equipped with a high diversity and endemism of Gracilaria species, we have a high potential for producing agar-based extracts in commercial scale reaching sustainability. Therefore, this work reports on the production of agar extracts from the seaweed Gracilaria lemaneiformis by means of selected simple protocols based on hot water extraction, with a future direction on developing a useful agar-based product with prescreening for plastic pollutants because macroalgae have a resilient capacity to trap both mesoplastics (5–10 mm) and microplastics (less than 5 mm). The collected plants from Trincomalee and Morawala, Negombo, Sri Lanka using random quadrat sampling method in September, 2023 were screened for debris prior storage. The agar production was performed in four different methods with and without pretreatment of 2% sodium hydroxide as per the literature using simplified water extraction protocols with slight modifications and prescreening for microplastics (MPs). According to the results, extraction efficiency increases with the use of dry powder form, rather than the direct extraction of thalli. A significantly higher percentage agar extraction had recorded when extracting using the dry powder form regardless of pretreatment with a percentage extraction of 19.46%. The selected species has been contaminated with microplastics (0.417±0.188 items/5 g), among which the majority are fibers of secondary MPs. It is highlighted that there is a significant difference among the concentration of microplastics in filtrates of the washing steps. It is evident that the mean MPs concentration present in the initial dried sample is decreasing with the number of washing steps (DW3-0 items/5 g) starting from the sodium hydroxide pretreated sample (NaOH—0.667±0.210 items/ 5 g) (p<0.05). Thus, more the washing steps would ensure the decreased contamination of MPs entrusting reduced MPs toxicity and enhancement of the good quality of the extracted product in commercial process. A conclusion can be made that G. lemaneiformis has been significantly contaminated with microplastics and the agar extraction protocol with pretreatment of sodium hydroxide followed by thorough water washing could be recommended for enhancing the quality of agar extracts. Further, this research should be developed to a better way of extracting agar with higher efficiency and producing a useful agar-based product

    Solving first order ODE with initial conditions exactly using laplace transform On MATLAB

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    The solution method for first-order ordinary differential equations (ODEs) with constant coefficients and initial conditions is presented in this study and is based on MATLAB. The suggested method depends on Laplace transforms to find exact results. The research introduces a special MATLAB function that is intended to precisely compute the exact solutions of certain ODEs while also offering other details like elapsed time and relevant figures. This method presents a systematic approach to handle these kinds of ODEs, solving the difficulties brought on by constant coefficients and initial conditions. It does this by using Laplace transformations. This method is expected to be used in disciplines like engineering and physics where second-order ODEs are frequent and exact solutions to them are important

    The effect of different rearing methods on domestic poultry eggs qualities in Batticaloa district

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    The study was carried out to determine the effect of Rearing systems on the egg qualities of Domestic Chicken. Data was collected from (n=200) Domestic Chicken Eggs under Intensive and Semi-Intensive Rearing systems. All data were collected on external egg quality characteristics i,e.,(Egg Weight, Egg Length and Width, Shape Index, Shell Weight, Shell Thickness) and internal egg quality characteristics (Weight of albumen, Weight of yolk, Height of yolk, Height of albumen, The pH of egg yolk and albumen, Haugh unit, Yolk Color) and Nutritional Egg quality characteristic i,e.,(albumen protein content, yolk protein content, albumen fat content, yolk fat content, albumen ash content, yolk ash content, albumen moisture content, yolk moisture content). Data were analyzed using SPSS version 25.0. The results of the study revealed that external egg quality parameters such as Egg Weight, Shell Thickness and Shell Weight significantly (p < 0.05) affect by rearing system. Egg Nutritional Qualities Parameters like Albumen and yolk protein, albumen and yolk fat, significantly (p < 0.05) affected by the rearing system and egg internal qualities Egg Yolk Color significantly (p < 0.05) affected by the rearing system. However, other qualities do not that much affect egg qualities but in the case of egg, yolk color will be highly affected by the rearing system. Typically, consumers tend to favor eggs from semiintensively reared hens due to the appealing egg size and yolk color. Consequently, farmers are advised to opt for the semi-intensive rearing system, as eggs from birds raised under this method exhibit an enhanced yolk color, making them more attractive to consumers. Conversely, when it comes to raising a large number of birds, the intensive rearing system is preferable over the semi-intensive one

    Assessment of red rot disease of saccharum officinarum L. (sugarcane) caused by Colletotrichum Falcatum using selected six medicinal plant extracts

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    Red rot disease, caused by the fungal pathogen Colletotrichum falcatum Went. (Also, known as Glomerella tucumanensis), poses a significant threat to global sugarcane (Saccharum officinarum L.) cultivation. The conventional use of chemical fungicides has been limited due to pathogen resistance and environmental concerns. This study aimed to assess the efficacy of six medicinal plant extracts, namely Azadirachta indica (Neem), Solanum torvum (Turkey Berry), Zingiber officinale (Ginger), Persea americana (Avocado), Curcuma longa (Turmeric), and Psidium guajava (Guava), for managing red rot disease in sugarcane. Agar well method was used to evaluate the antifungal properties of the selected plant extracts against C. falcatum. Concentration gradient started from 100mg/ml to 225mg/ml of the plant extracts were tested to determine their inhibitory effects on fungal growth and mycelial development. All data, collected from agar well method, were rigorously analysed at a 5% confidence level using Minitab 17.0 statistical software. The choice of a 5% confidence level was based on established statistical practices to ensure robust results. This study observed the initiation of fungal growth characterized by the development of white mycelia. Subsequently, the formation of white cottony aerial mycelia ensued, undergoing a transformation into a light, loose, and floccose texture within a period of five to seven days. The colony's coloration transitions were to either white or grey during this period. Conidia produced by the fungus exhibit a diverse range of shapes, including elongated, fusiform, curved, and straight forms as their common shape. The preliminary phytochemical analysis of six plant extracts exposed varying profiles of availability of bioactive compounds. Notably, A. indica and S. torvum leaf extracts exhibited the presence alkaloid, flavonoids, tannin, and saponin, while absence of steroids. Future studies should delve into the specific mechanisms underlying the impact of alkaloid, flavonoids, tannin, and saponin on the pathogen, considering factors such as concentration, interaction dynamics, and potential synergistic effects. In general conclusion, suggests that the plant extracts have distinct effects on the zone of inhibition (ZOI). P. guajava leaves extract showed the highest ZOI (22.83mm) against the C. falcatum at the minimum inhibition concentration (MIC) 200mg/ml. Both Z. officinale and A. indica exhibited similar effects on C. falcatum, with recorded measurements of 16.68 mm and 16.66 mm, respectively. This finding highlighted the potential use of plant extracts on C. falcatum as an environment friendly and sustainable alternative for the management of red rot disease in sugarcane cultivation

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