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Active Ageing Index, New Emphasis Within the Same Methodology. The Role of the Internet

Abstract

Our paper focuses on the role of the Internet in older people’s lives and suggests that the weighting given to Internet usage should be increased when calculating the Active Ageing Index (AAI). We analyse the results of two weighting systems, which differ from the original one created by an expert group. First, we use the coefficients calculated by Djurovic et al. (2017), then create our own system in which the Internet usage component is given a very high coefficient value, ceteris paribus. Evaluations are done for AAI 2010, 2012, 2014, 2016 and 2018. The rank order of countries differs in the alternative weighting systems, but these differences are slight, and decrease year by year, suggesting the robustness of the original weighting system. This also shows that older EU citizens are using the Internet more and more, and that Internet usage is becoming a category similar to basic literacy. Finally, we recommend that AAI include a more sophisticated indicator of Internet usage instead of just asking respondents if they have used the Internet at least once a week in the previous three months.

Open access
Assessment of the Insolvency Risk in Companies Listed on the Bucharest Stock Exchange

Abstract

The present study presents, from the theoretical and pragmatic point of view, 6 of the established score models regarding the assessment of the insolvency risk, belonging to the Anglo-Saxon, Continental and Romanian schools. The research sample is made up of 26 companies belonging to the hotel industry and restaurants, listed on the Bucharest Stock Exchange. The research was carried out over a period of 11 years (2007-2017). Following the application of the score models, it was found that during the period covered by the research, a number of 14 companies had a relatively high insolvency risk and 12 of them had a relatively low insolvency risk.

Open access
Effects of Energy Use on Socioeconomic Predictors in Africa: Synthesizing Evidence

Abstract

The paper examined the effects of energy use on socioeconomic predictors in Africa. The Gary Becker hypothesis and the Michael Grossman demand for healthcare model were used to interact with energy related predictors on socioeconomic essentials. Our experimented model foretold the urgent need for government intervention programmes to resolve the energy misery in the African region.

Open access
The Impact of Gender on Food Waste at the Consumer Level

Abstract

Food waste is one of the main contributors to economic disparities, social inequalities and environmental pollution. Numerous studies have sought to understand the drivers of food waste at various stages in the food supply chain, including the consumption stage. Based on a quantitative analysis of 252 Romanian consumers, the present study shows that gender is an important factor that affects the individuals’ attitudes and behaviours in regard to food and a potential factor that could affect the amount of food wasted. The study found that attitudes towards food waste evolve as individuals age, and that, at each stage, women tend to be more concerned about the negative impact of food waste on social equity or the family budget than men. In addition, women were found to display behaviours in regard to food acquisition and preparation that can result in higher food waste in a larger degree than men, even though the study found no differences in the actual amount of food wasted by the two genders. The results of the study are important because they show the need to adapt the public awareness campaigns on food waste on the particularities of each gender across several age groups.

Open access
Evaluation of enzymatic hydrolysis via alcoholic fermentation of corn flour

Abstract

The research was concerned with the enzymatic hydrolysis followed by alcoholic fermentation of corn flour. Commercial corn flour purchased from local market contained starch of 87.25%, moisture 11.86% and ash 0.70%. The kinetics of corn flour hydrolysis was performed at 50°C, 65°C and 80°C using commercial thermos table-∞-amylase and ∞-amyloglucosidase. During hydrolysis the residual starch content was decreased with increasing hydrolysis time. The line weaver-Burk plot for enzyme hydrolysis of corn starch for 2.5%, 5% and 10% flour solution showed a Km value of 2.46, 2.27 and 1.73 mg/ml and Vmax values 1.23, 1.21 and 0.96 U/ml for 50°C, 65°C and 80°C respectively. Thin layer chromatography (TLC) was used to detect the presence of dextrose in the hydrolyzates. The Rf (Retention factors) values showed that the starch was mainly composed of dextrose and depended on carrier solvent use for dextrose assessment. When 100% ethyl alcohol used as carrier solvent the Rf value was 0.72 and ethyl alcohol: ethyl acetate= 1:1 the Rf value was 0.65. Both corn flour solution and its enzymatic hydrolysates were fermented with commercial baker’s yeast. Both the cases starch content was decreased and alcohol content was increased during hydrolysis and alcohol production was 3 times more from hydrolysates. The results obtained here will be useful for further research in the production of other value added products like white vinegar from the produced alcohol from con flour.

Open access
Response of Maize Varieties to Sowing Dates in Inner Terai Region, Dang, Nepal

Abstract

Sowing dates and varieties affect the productivity of maize. A field experiment was conducted to find out the response of maize hybrids to sowing dates on growth and productivity of maize in spring season at Lamahi, Dang in 2019. The experiment was laid out in two factor factorial Randomized Complete Block Design with four replications. The treatment consisted of combination of three different sowing dates (February 1, February12 and February 23) and two maize varieties (Arun-2 i.e. OPV and hybrid Bioseed-9220).The result revealed that earlier planting on February 1 produced the highest yield (8265 Kg ha-1) which was significantly superior than latter planting of February 12(6099 kg ha-1)and February 23 (5934 kg ha-1).The higher yield in earlier planting was due to significantly higher no of kernel per ear, non-significant but higher number of cob per unit area, thousand grain weight. Similarly, Bioseed 9220 produced higher yield (7798 kg ha-1) compared to Arun-2 (5,734 kg ha-1). The higher yield of hybrid Bioseed 9220 was because of higher number of cob per unit area harvested and more number of kernel per cob. Therefore, earlier planting with hybrid maize is recommended in spring season of Dang and locations with similar climatic conditions for higher productivity of maize.

Open access
Significance of Nutritional Value of Fish for Human Health

Abstract

Nutrients are the substances which give nourishment to the body and promote growth. These nutrients are present in varieties of foods in various amounts. Fish is a source of aquatic food which can both be farmed and wild caught. Fish is rich in macronutrients: proteins, lipids and ash and micronutrients: vitamins and minerals. Proteins in the fish have immunoglobins that acts as defense mechanism against viral and bacterial infections and prevent protein calorie malnutrition. Lipids mainly LC n-3 PUFAs like EPA and DHA prevents cardiovascular and coronary heart diseases and maintains blood pressure and neuro-development in child. Selenium is important for the function of thyroid gland. Iron helps in synthesis of hemoglobin and prevents the occurrence of anemia. Calcium and vitamin D naturally present in fish prevents rickets, low bone-mineral density and osteomalacia. Vitamin A in fish helps in normal growth, formation of bones and teeth. Despite these importances’s, fish is still undervalued and less consumed compared to other animal protein sources due to lack of awareness. If the per capita consumption of the fish can be increased, then people can have many health benefits. People should be made known about the health benefits of fish. Many other researches should be conducted to make the nutritional value of fish known to the world.

Open access
AI-Driven Sales Automation: Using Chatbots to Boost Sales

Abstract

The implementation of bot interfaces varies tremendously in current industry practice. They range from the human-like to those that merely present a brand logo or a digital avatar. Some applications provide a maximum amount of information with limited turn-taking between the user and the interface; others offer only short pieces of information and require more turn-taking. Instead of simply implementing the default option provided by chatbot providers and platforms, companies should consider very carefully how the specifics of the chatbot interface might affect the user experience. Simple mechanics such as increasing the frequency of interactions leads to greater trust and a more enjoyable user experience. Also, personalizing chatbots with basic consumer characteristics such as gender increases trust and improves the perceived closeness between the customer and the chatbot – and ultimately the brand. Brand managers should therefore consider chatbots not as merely another digital marketing fad or a way to save costs through service automation. When implemented wisely, they are even able to increase a company’s upselling potential.

Open access
Editorial
Open access
Let the Machine Decide: When Consumers Trust or Distrust Algorithms

Abstract

Thanks to the rapid progress in the field of artificial intelligence algorithms are able to accomplish an increasingly comprehensive list of tasks, and often they achieve better results than human experts. Nevertheless, many consumers have ambivalent feelings towards algorithms and tend to trust humans more than they trust machines. Especially when tasks are perceived as subjective, consumers often assume that algorithms will be less effective, even if this belief is getting more and more inaccurate.

To encourage algorithm adoption, managers should provide empirical evidence of the algorithm’s superior performance relative to humans. Given that consumers trust in the cognitive capabilities of algorithms, another way to increase trust is to demonstrate that these capabilities are relevant for the task in question. Further, explaining that algorithms can detect and understand human emotions can enhance adoption of algorithms for subjective tasks.

Open access