Relevant Attributes for Olive Oil Purchasing Decisions: A comparison between Brazil and Portugal

Objective: To identify and compare the most relevant attributes for consumers when deciding to buy olive oil in Brazil and Portugal.Method: In the first study, 10 olive oil consumers were interviewed to understand and identify the attributes that influence the decision process. In the second study, a survey was conducted with 338 consumers to compare the importance of the attributes.Findings: Taste, type of olive oil, acidity and price were among the five most important attributes for both nationalities, along with brand (only for Brazilians) and country of origin (only for Portuguese). Among the most important attributes, price was the least important and was used as a tie-breaker between similar products.Originality: Despite the economic importance of this market (€856 million in 2019), little is known about the attributes that are most relevant to consumers. This research provides current information on these attributes.

A method to multi-attribute decision making problems by using heronian mean operators based on linear diophantine uncertain linguistic settings

In the real decision process, an important problem is how to express the attribute value more efficiently and accurately. In the real world, because of the complexity of decision-making problems and the fuzziness of decision-making environments, it is not enough to express attribute values of alternatives by exact values. For this managing with such sorts of issues, the principle of Linear Diophantine uncertain linguistic set is a valuable and capable technique to manage awkward and inconsistent information in everyday life problems. In this manuscript, we propose the original idea of Linear Diophantine uncertain linguistic set and elaborated their essential laws. Additionally, to determine the association among any numbers of attributes, we elaborated the Linear Diophantine uncertain linguistic arithmetic Heronian mean operator, Linear Diophantine uncertain linguistic weighted arithmetic Heronian mean operator, Linear Diophantine uncertain linguistic geometric Heronian mean operator, Linear Diophantine uncertain linguistic weighted geometric Heronian mean operator, and their properties are also discovered. By using these operators, we utilize the multi-attribute decision-making procedure by using elaborated operators. To determine the consistency and validity of the elaborated operators, we illustrate some examples by using explored operators. Finally, the superiority and comparative analysis of the elaborated operators with some existing operators are also determined and justified with the help of a graphical point of view.

An Offloading Algorithm based on Markov Decision Process in Mobile Edge Computing System

In this paper, an offloading algorithm based on Markov Decision Process (MDP) is proposed to solve the multi-objective offloading decision problem in Mobile Edge Computing (MEC) system. The feature of the algorithm is that MDP is used to make offloading decision. The number of tasks in the task queue, the number of accessible edge clouds and Signal-Noise-Ratio (SNR) of the wireless channel are taken into account in the state space of the MDP model. The offloading delay and energy consumption are considered to define the value function of the MDP model, i.e. the objective function. To maximize the value function, Value Iteration Algorithm is used to obtain the optimal offloading policy. According to the policy, tasks of mobile terminals (MTs) are offloaded to the edge cloud or central cloud, or executed locally. The simulation results show that the proposed algorithm can effectively reduce the offloading delay and energy consumption.

THE ROLE OF FOREIGN LANGUAGE AS A BRAND OF PRODUCT FROM CONSTRUCTIVISM POINT A VIEW

The identity of a product has an important part for the company. Product identity should have the unique aspect to draw attention of customers and to win the competition with the other competitors. Nowadays, the identity of a product with foreign language is having uptrends because most people think it is unique and draws more attention. Therefore, foreign language has an influence to the identity of a brand. The development of technology and language make most of the owner of a product choose a foreign language than Indonesian language. Moreover, the assumption of Indonesian language does not have a rich vocabulary than Indonesian language become the main reason. Besides that, an identity of a brand with foreign language can deliver the main point of a product to the customer. From the context of the problem raised, there are some question asked, how does a foreign language in the identity of a product can affect the buyer's decision process? And what is the solution to raise the use of Indonesian language for the identity of a product? This study used qualitative research with a questionnaires and interviews as a way to collecting data. Therefore, the author hopes this research can contribute to language development and local product in Indonesia. From the research with questionnaires and interviews, it showed that most people tend to choose a brand of a product with a foreign language. However, the Indonesian language product brands also have the big contribution to the increase of Indonesian economic.

influence of word of mouth and brand image on the consumer decision process in choose clinic content

This study aimed to analyze the effect of word of mouth and brand image jointly and partially on consumer decisions and the dominant two variables. Data collection at the Embun Pagi Clinic in the Sekayu area involved 100 patients who used the services of the Sekayu Embun Pagi Clinic with non-probability sampling, namely accidental sampling. Data was collected by distributing questionnaires and using multiple linear regression using SPSS software. Data analysis is a descriptive method, classical assumption test with normality test with Kolmogorov-Smirnov, multiple regression analysis methods with f test, t-test, and coefficient of determination. This study indicates that word of mouth and brand image significantly influence the consumer decision process in choosing the Embun Pagi Sekayu Gynecological Clinic. These results can be seen in the multiple regression analysis and the coefficient of determination R-value of 0.802, meaning that the relationship between word of mouth and brand image on consumer decisions is 80.2%, meaning that the relationship between variables is close. Adjusted R Square value of 0.636 means that 63.6% of purchasing decision factors can be explained by word of mouth and brand image.

The virtual ear, nose and throat follow-up clinic: a 10-year quality improvement project

Background/Aims Ear, nose and throat services have seen one of the greatest increases in service demand over the last 6 years. This study aimed to determine if a virtual clinic system could reduce the volume of patients who need to be seen in person in an ear, nose and throat outpatient clinic. Methods Clinical outcome data for one consultant's team in a single ear, nose and throat department between 2009–19 were analysed. Data were prospectively collected on all patients who used the virtual clinic in this 10-year period and the outcomes analysed. Results A total of 3071 patients entered the virtual clinic during the 10-year period. Of these, 61% were discharged from the clinic via virtual follow-up and 39% required an in-person review appointment. On average, 187 patients per year did not have to attend an in-person follow-up appointment, with estimated cost savings of £27 000 per year. Conclusions The virtual ear, nose and throat clinic service has clear benefits for patients and services, delivering healthcare without unnecessary in-person appointments through a shared, clinician–patient decision process.