Understanding Of Product Quality Research Articles

ANALYSIS OF DIGITAL MARKETING PERFORMANCE AGAINST MAGGOT (HERMETIA ILLUCENS) MARKETING EFFECTIVENESS

Maggot or Black Soldier Fly (Hermetia illucens) is a source of good quality protein. A household business can produce maggots, so developing and increasing production and marketing using digital marketing is necessary. It is believed that improving marketing performance can increase the readiness of producers to increase their maggot production, open new business opportunities, and empower the community's economy. This study aims to determine the effectiveness of maggot marketing using digital marketing with regression analysis methods. The research tended to experimental research with a descriptive approach to measuring the effectiveness of the digital marketing of mangosteen. The study was carried out in Surabaya, Malang, and several cities in East Java at maggot production and sales centers from January until June 2022. Respondents' identities were previously identified as producers, sellers, and potential buyers and were recommended by both producers and sellers. The results showed satisfaction with conventional marketing results, fear of being unable to serve a broader market, understanding of business development strategies, and understanding of product quality. The magnitude of the influence of the five variables can be explained by 42.6% percent. Of the five significant variables, only one variable that contributes to the reduction in the effectiveness of maggot marketing is the variable of satisfaction with the acquisition of conventional marketing results.
 Keywords: Correlation; Regression analysis; Digital Marketing; Maggot.

The Role of Market Orientation And Product Quality On The Performance of Small-Medium Enterprises With Supply Chain Management Strategies As Mediation Variables (Case Study On Songket Smes In Palembang City)

The purpose of this research was to analyze and measure the role of market orientation, product quality, supply chain management strategies as mediating variables on the performance of small and medium enterprises (SMEs) in Palembang. This study explains how the influence of market orientation and understanding of product quality by the owner or leader of the Songket UKM in Palembang City on the company's performance. The research sample amounted to 50 people consisting of elements of the owners and leaders of the Palembang songket UKM and that is from 25 Palembang UKM business units. Survey method with quantitative management data through statistical analysis test of the SPss IBM 25 application to measure the level of market orientation, product quality, supply chain management strategy on the performance of SMEs in Palembang. These results show that the Market orientation has a significant positive role on the performance of SME companies in the city of Palembang and it can provide an alternative solution in the form of information on awareness of the influence of the variables studied as owners or leaders of SMEs on market orientation, product quality , supply chain management strategies to improve the performance of songket SMEs in Palembang.

Measuring conflation success

We are immersed in the Big Data era, where there is a large amount of heterogeneous data, both in time and spatial scales. This data starts to be streamed in real time from different devices and sensors, well illustrated by the new concept of Smart Cities. Conflation processes play an important role in this scenario, defined as the procedure for the combination and integration of different data sources, improving the level of information of the result. It also allows to update geographical databases (GDB), conflating different kind of sources where one of them is more accurate or updated than the other. Regarding geometric conflation, the procedure involves transforming features from one data source to another, minimizing the geometric discrepancies between them. Accuracy has to be taken into account in these processes, and the results need to be measured and evaluated in order to have a better understanding of product quality. In this paper, conflation evaluation process is described along with the different metrics and approaches to assess its accuracy.

Measuring conflation success

We are immersed in the Big Data era, where there is a large amount of heterogeneous data, both in time and spatial scales. This data starts to be streamed in real time from different devices and sensors, well illustrated by the new concept of Smart Cities. Conflation processes play an important role in this scenario, defined as the procedure for the combination and integration of different data sources, improving the level of information of the result. It also allows to update geographical databases (GDB), conflating different kind of sources where one of them is more accurate or updated than the other. Regarding geometric conflation, the procedure involves transforming features from one data source to another, minimizing the geometric discrepancies between them. Accuracy has to be taken into account in these processes, and the results need to be measured and evaluated in order to have a better understanding of product quality. In this paper, conflation evaluation process is described along with the different metrics and approaches to assess its accuracy.

Evolution of top management’s understanding of product quality in Eastern Europe since the end of communism

PurposeThe purpose of this paper is to analyse the evolution of top management’s understanding of product quality in Bulgaria since the end of communism. The study examines three specific areas: top management’s understanding of the term “quality”; top management’s understanding of the relationship between quality and business performance; and top management’s understanding of the impact of job position on quality.Design/methodology/approachThe paper relies on a quantitative research approach by using data from a survey of 186 companies in Bulgaria.FindingsThe paper suggests that senior managers in Bulgaria continue to base their understanding of “quality” on a single approach (*a characteristic of the communist era), with the product-based and the user-based approaches currently being the two most common ones. At the same time, surprisingly enough, this study claims that senior management in Bulgaria is currently well aware of the importance of quality as a dimension of firm’s competitiveness, and is also highly conscious of its roles’ impact on product quality.Research limitations/implicationsThe results of this study are exclusively based on the case of Bulgaria and must be treated with caution in the case of other former communist states from the Central and Eastern Europe (CEE) region.Practical implicationsThis paper has relevance for both managers and companies doing business in Eastern Europe.Originality/valueThis is the first paper to provide detailed analysis of the evolution of the understanding of “product quality” in CEE since the end of communism. Moreover, this paper applies, for the first time, Garvin’s five approaches to defining quality within a practical context.

DEPLOYING CUSTOMER REQUIREMENTS VIA FOUR-STAGE TEAM APPROACH IN BUSINESS PLANNING

Expansion of world economy brings changes in the way of thinking which can be seen in customers' demands. This directly influences the increase in demands at designing of a new or modifications of the existing products. Quality Function Deployment is a method directed towards revealing customers' wishes, which guarantees that these wishes have a positive effect on the product design and on the development of manufacturing process. Using and interpreting certain surveys of different types in the right way, additional advantages can be achieved in increasing of competitiveness in free markets. The most significant advantage is the possibility of using those specialists' expressions most often used by potential customers. Another problem of market experts and designers is translation from the "language" of customers to the "language" of quality characteristics. This problem is solved by using quality matrixes called the "house of quality" by Japanese. The "house of quality" is very appropriate and clear form of concise presenting of numerous data which refer to quality analysis, planning and decision making. Basically speaking the method of quality function deployment serves to improve customers' satisfaction with the product quality. What can this method contribute in comparison with already achieved results by using traditional methods in quality improvement? In this way the enterprise gets connected with its customers, and within the enterprise itself communication among different departments is improved so the new product has real chances to satisfy demands and needs of the customers. Taking into account that method of quality function deployment uses customers' demands as input data it means that the enterprise understands customers better and their understanding of product quality. Thus, even in the phase of planning, awareness of what should be done is raised in order to increase the degree of customers' satisfaction. Four-stage quality function deployment process in the automotive industry implemented and presented in the paper. A car represents a very complex product. A great number of parts, diversity of applicable materials, numerous and complex technology processes in manufacturing, on the one side, as well as a lot of demands from developed and less developed markets, on the other hand, make car manufacturing very complex in production, economic, and technological sense. Quality Function Deployment method can be used at designing of a new car, but also at solving of some of the existing problems. When carrying out reliability testing we came to the opening of the engine lid during driving the tested car. Taking into account that it was nonconformity which endangers traffic safety, the analysis of the stated problem was carried outimmediately.