Description Of Production Research Articles

Analysis of Online Evaluation of Fashion Boutique Customers

Aims: This study is to understand the focus of consumers' evaluation of boutique social marketing.
 Study Design: This study employs text analysis to deconstruct the large number of customer reviews collected from IG, followed by semantic network analysis to examine the association with the extracted keywords to understand the focus of consumers' evaluation of boutique social marketing.
 Place and Duration of Study: EMBA Department, MingDao University, Taiwan, from June 2022 to December 2022.
 Methodology: In this study, content analysis was used to analyze the data, including question formation, sampling, and coding, and then comparing the results. In this study, the questions to be investigated have been described earlier, and the subject matter of the analysis is compiled from the stem, that is, the sentences in the subject matter that are scattered in various paragraphs but have similar meanings are edited to form a unit of analysis that can be processed, which may be a minimal paragraph of one to three sentences, and the sentences with different meanings form different stems. After the stemming is confirmed, a possible classification structure is decided.
 Results: In the apparel category, consumers gave positive comments on beauty orientation, time orientation, and value orientation, while negative comments do not seem to be more prominent items。 In the jewelry category, the main ones are the positive evaluation of the value orientation and beauty orientation, the negative assessment of the quality orientation, communication orientation, and time orientation. In the leather goods category, consumers' positive evaluations were focused on quality orientation, beauty orientation, and value orientation, while negative evaluations were mostly on quality orientation, time orientation, and communication orientation. In terms of consumer response to shoes, the positive assessment is based on beauty, value, and quality orientation, but the negative evaluation is based on quality orientation. From the above, we can see that there is a great difference between the positive and negative consumer opinions of different quality items, and it is impossible to make a uniform statement. This part is in line with Varshneya's [1] study on the value of fashion brand consumers' experience and word-of-mouth, but Varshneya [1] did not further analyze the generated word-of-mouth.
 Conclusion: This study confirms that price is not the best priority for consumers in the marketing strategy of fashion boutiques, as opposed to previous e-commerce-related studies which suggest that the marketing of fashion boutiques cannot be based on price promotions as the main marketing method for fashion boutiques online shopping. We can see that there is a significant difference between the positive and negative consumer opinions of different quality items, and it is impossible to make a uniform statement.
 Research Proposals: The merchants should pay attention to their consumers' various evaluations rather than focusing on price-cutting competition at the expense of product quality. For the time factor, the business should strengthen the management of goods, or inform the exact delivery time in advance, so as not to cause consumers to be impatient. In addition, in terms of communication, consumers also value the response time and multiple communication channels for consumers' questions. Product descriptions should be conveyed in a way that consumers can fully understand, and product pictures should not be overly retouched and should be compared to real-life items so that consumers can more accurately understand product information and avoid misunderstandings. For customers who give negative comments, the store can explain the handling situation to increase the confidence of potential customers.

An investigation of two remedial measures for retailers to address the impact of disease threat on sustainable consumption: A moderated moderated mediation model

As many sustainable products in the circular economy are made from used material, concerns over contagion could render them unappealing. Recent studies verified this conjecture, but they did not identify practical remedial measures to help retailers address consumers' contagion concerns. We examine two remedial measures: including the store owner's identity or a sanitization message in the product description. We examine the effectiveness of these remedial measures for refurbished, repurposed, and recycled products; we also consider these products when they are used close to versus away from the body. Through two experiments, we find significant moderating effects of each remedial measure on the moderating effect of disease threat. The remedial measures significantly impact a sustainable product's perceived quality the most, in terms of how perceived quality is affected by disease threat. We find that repurposed products are most sensitive to contagion concerns. We show that products used close to and away from the body can be susceptible to contagion concerns. The findings suggest that consumers can have an exaggerated response to disease threats. Our study contributes to the circular economy by identifying the contexts where remedial measures can overcome the consumer's contagion concerns about sustainable products. By verifying several conjectures of evolution theory and by providing the first examination of how repurposed products are affected by disease threat, the study also contributes to a more comprehensive account of how consumers react to contagion.

Satisfaction Level Analysis of Bukalapak’s Website & Application Users Using SERVQUAL and IPA

Customer or user satisfaction is a very important thing to maintain especially for company that engaged in the service industry. Therefore, it is necessary to conduct research to determine the level of user satisfaction and identify problems that must be addressed immediately. A thorough analysis on the service importance level satisfaction level for certain services at Bukalapak can be done by using Service Quality (SERVQUAL) Method. The result shows that according to Customer Satisfaction Index (CSI) calculation, the user satisfaction level with Bukalapak is 85% which can be considered very good. Aside from that, companies also need to know the perceptions and expectations of users on the quality of services offered and make improvements in critical areas by making an Importance Performance Analysis (IPA) graph. The graph shows 4 main problems in Quadrant I that need to be solved immediately which are the appearance of Bukalapak’s website or application (T1), data protection for customer or user (E1), customer service (E2), and the coherency of stock quantities and product descriptions (R2). The resolution of these four problems was made by using questionnaires to ask for opinions and solutions from 5 experts.

Developing Nonlinear Customer Preferences Models for Product Design Using Opining Mining and Multiobjective PSO-Based ANFIS Approach.

Online customer reviews can clearly show the customer experience, and the improvement suggestions based on the experience, which are helpful to product optimization and design. However, the research on establishing a customer preference model based on online customer reviews is not ideal, and the following research problems are found in previous studies. Firstly, the product attribute is not involved in the modelling if the corresponding setting cannot be found in the product description. Secondly, the fuzziness of customers' emotions in online reviews and nonlinearity in the models were not appropriately considered. Thirdly, the adaptive neuro-fuzzy inference system (ANFIS) is an effective way to model customer preferences. However, if the number of inputs is large, the modelling process will be failed due to the complex structure and long computational time. To solve the above-given problems, this paper proposed multiobjective particle swarm optimization (PSO) based ANFIS and opinion mining, to build customer preference model by analyzing the content of online customer reviews. In the process of online review analysis, the opinion mining technology is used to conduct comprehensive analysis on customer preference and product information. According to the analysis of information, a new method for establishing customer preference model is proposed, that is, a multiobjective PSO based ANFIS. The results show that the introducing of multiobjective PSO method into ANFIS can effectively solve the defects of ANFIS itself. Taking hair dryer as a case study, it is found that the proposed approach performs better than fuzzy regression, fuzzy least-squares regression, and genetic programming based fuzzy regression in modelling customer preference.

Die Darstellung von Kulturen der DACH-Länder an chinesischen Hochschulen am Beispiel des Lehrwerks Studienweg Deutsch

Language and culture are interdependent in many ways, and so the teaching and learning of culture are inseparable from language education. Herein, textbooks have become a crucial medium for representing cultural values, beliefs, and even stereotypes or misunderstandings. According to the DACH principle, the entire German-speaking world should somehow be shown in the textbook. In this regard, the present article poses the questions of whether the textbooks developed in China for teaching German as a foreign language sufficiently represent the cultural diversity of the entire German-speaking world. Based on the FARCET analysis model, the textbook Studienweg Deutsch, which comprises a total of four books and is used at over 80 Chinese universities, is examined qualitatively and quantitatively. The research results show that German culture dominates among the DACH countries, while Austria and Switzerland are marginalized. All DACH countries are represented superficially, as the descriptions of cultural products is the highest and cultural perceptions are the lowest. In this panorama, the diversity of representation of German culture contrasts with the simplified form of representation of other German-speaking countries.

ЦИФРОВАЯ СИСТЕМА УПРАВЛЕНИЯ ИНФОРМАЦИЕЙ О БИЗНЕС-ПРОЦЕССАХ ПРОМЫШЛЕННОГО ПРЕДПРИЯТИЯ

The scientific article discusses a new concept for creating a digital information management system about the business processes of an industrial enterprise. Research hypothesis - thanks to the collected and processed information, using a digital system, an enterprise can identify problems, improve the work of the financial planning and control department, and speed up the adoption of relevant management decisions. The purpose of the study is to propose a new concept for a digital information management system for business processes of industrial enterprises, which will consist of ten modules that ensure effective data management in various scenarios; modern replication of applications and file systems. The author associates the prospects for his further research with the creation and description of a software product for a digital information management system about the business processes of an industrial enterprise.

Смешанная методология социальных наук

This text is devoted to the question of using mixed methods in social sciences. The attention is paid to the positions of leaders in the field, articulated by the uplevel “Journal of Mixed Methods Research”. The main results and discussions on the journal’s pages will be outlined briefly. As scholars note, mixed methods provide an integrative methodology in social sciences and a third paradigm beyond quantitative and qualitative approaches within social research. The third methodological paradigm is distinguished by pluralism and pragmatism, openness and flexibility of principles. Quantitative and qualitative methods in social cognition are well complemented by digital tools. In many methodological works one can find descriptions of software products by which mixed research is commonly produced. The purpose of the article is to review the important results and discussions published in JMMR, describe the philosophical and methodological principles that shape the basis for integrative research, and compare them with other traditions of reflection on methodology of social cognition. In conclusion, it is said that there is a continuum of different scientific studies, where quantitative and qualitative methodologies may be treated only as the basic types of design. A review helps to validate one more conclusion: there is no radical opposition between social and nomological sciences grounded in the nature of their methods, as philosophers presuppose. Finally, mixed methods research is highly relevant to philosophy, where qualitative analysis has always prevailed.

Analysis of the possibility of production processes based on modern methods

Comprehensive measures are being implemented aimed at ensuring the comprehensive integration of production enterprises into world markets, increasing the quality and competitiveness of manufactured products, improving the quality management system and product production processes. This article discusses the main essence of the analysis of production processes at engineering enterprises based on statistical methods and the possibility of improving the effectiveness and efficiency of processes based on the fulfillment of the requirements for them. Statistical control of processes by monitoring the description of processes and products, focusing the possibility of processes on the creation of a quality product with a uniform demand, identifies the working procedure for managing the processes of constant production technology and allows to increase the efficiency of the process possibility. Statistical process control is not about checking whether parts are in good condition or not, but about anticipating and trying to prevent the production of poor quality parts. This is done by using control charts as a predictive tool to identify potential inconsistencies.

Effects of Live Streaming Commerce on Returns and Measures for Return Avoidance from a Customer’s Perspective

While live streaming commerce enriches product presentation and expands the scope for interaction compared to traditional online shopping, this retailing approach often leads to spontaneous purchases. Hence, the hurdle for returns is comparatively low, and this is particularly the case with fashion items. We have identified eleven measures to avoid returns from the literature and an evaluation of fifty-seven experienced users. A sample of 509 Chinese participants was analysed, and their influence on customer satisfaction was evaluated using the Kano model. Truthful product description, detailed product information, live interaction, and personal customer service during the post-live streaming stage are viewed as valid performance measures, and the absence of a detailed description of the shipping and delivery times and return policy is a basic source of dissatisfaction. Our recommendations to platforms and streamers include presenting detailed product information during live streaming, refraining from deceptive advertising, and providing sufficient staff for after-sales service.

Analysis of Influencing Factors of Consumers’ Online Purchase Intention of Fresh Agricultural Products Based on Online Review

Fresh agricultural products e-commerce has become an important way of agricultural products consumption, but China’s fresh agricultural products e-commerce is still in its infancy. It is urgent to find out the influencing factors of fresh agricultural products consumers’ online purchase intention for the development of fresh agricultural products e-commerce. This paper extracts the main factors affecting consumers’ online purchase intention of fresh agricultural products by text mining of 5958 online review data of Tmall Fresh Channel. On this basis, the multiple linear regression model is used to analyze the key factors affecting consumers’ intention to purchase fresh agricultural products online. The results show that the factors that consumers pay attention to mainly include product quality, service quality and perceived quality. In addition to appearance, price, product description reliability, distribution service quality and competitors, other factors have a significant impact on consumers’ online purchase intention and the impact is positive. This study expands the breadth and depth of the research on the influencing factors of fresh agricultural products consumers’ online purchase intention, and also provides targeted suggestions for enterprises to improve products and services, and promotes the healthy development of fresh agricultural products e-commerce.

Manipulation of Female Stereotypes in Chinese Translations of Fragrance Product Descriptions

Although most research examines female stereotypes in advertising, few studies focus on translating female stereotypes in advertising texts from English into Chinese. This study explores how female stereotypes are recognized in fragrance product descriptions and how they are manipulated in Chinese translations. Twelve fragrance brands with 136 product descriptions were selected, and the qualitative analysis software ATLAS.ti was used for data analysis. This research recognized female stereotypes by examining communal and agentic traits. Results indicate that the female portrayals in the source and target texts present a positive trend but are stereotypical in different aspects. Female stereotypes in the Chinese translations are overwhelmingly indicated by communal traits but surprisingly by fewer sex-related traits. Manipulative strategies account for 70% of the strategy used to render female stereotypes. These manipulative strategies include gender omission, gender addition, gender reversal, gender permutation, and gender explicitation. Cross-cultural differences could partly explain the choice of manipulative strategies. The findings ascertain translation as manipulation in rendering female stereotypes in fragrance descriptions. It may provide references for translation practitioners in their future translation practice.

Screening, identification, and antibiotic activity of secondary metabolites of Penicillium sp. LPB2019K3-2 isolated from endemic amphipods of Lake Baikal

This study aimed to assess the influence of nutrient media content on the production of antibiotics and the ability of water fungi isolated from lake Baikal to synthesize novel natural products. Interest in this topic stems from the high demand for new drugs, and studies are carried out via the screening of new natural products with biological activity produced by unstudied or extremophilic microorganisms. For this study, a strain of Penicillium sp. was isolated from endemic Baikal phytophagous amphipod species. Here, we identified natural products using the following classical assays: biotechnological cultivation, MALDI identification of the strain, natural product extraction, antimicrobial activity determination, and modern methods such as HPLC-MS for the dereplication and description of natural products. It was found that many detected metabolites were not included in the most extensive database. Most of the identified metabolites were characterized by their biological activity and demonstrated antibiotic activity against model Gram-positive and Gram-negative bacteria. The isolated strain of water fungus produced penicolinate B, meleagrin A, austinoneol A, andrastin A, and other natural products. Additionally, we show that the synthesis of low-molecular-weight natural products depends on the composition of the microbiological nutrient media used for cultivation. Thus, although the golden age of antibiotics ended many years ago and microscopic fungi are well studied producers of known antibiotics, the water fungi of the Lake Baikal ecosystem possess great potential in the search for new natural products for the development of new drugs. These natural products can become new pharmaceuticals and can be used in therapy to treat new diseases such as SARS, MERS, H5N1, etc.

VIEWS OF VISUALLY-IMPAIRED JORDANIANS ON THE NETFLIX ARABIC AUDIO DESCRIPTION SERVICE

Studies on the reception of blind and visually impaired people to the audio description of audiovisual products in the Arab world context are relatively scarce. This study quantitatively explores how the Jordanian audience with visual impairment reacted to the Jordanian Netflix drama series ‘Madrast Al-Rawabi LilBanat’ (AlRawabi School for Girls) with audio description. The data were collected from one hundred fifty-two participants using a 16-Likert scale item questionnaire that consists of five constructs, namely, Watching Series Habits, Technical Issues, Comprehension and Understanding, Attitude and Future Actions & Recommendations. The findings showed that the technical aspects, and the participants’ comprehension and understanding of the audio description significantly affected their attitudes. The findings of this study can be useful for translation training and streaming platforms. The researchers recommend further audio description research in the Arab world.

Wind-Electric Installation Control Based on Vibration Drive Loading under Various Energy Unit Operation Conditions

Necessity of mathematical model description of the electric power production considering not only wind loading, but also drive loading under different modes of energy-unit operation by computerized control, promoting improvement of reliability indicators of modern wind-generators components, is proved. The problem, specifications of mathematical relation between generator rotor angular speed and wind speed, blade position angle and power consumption that provides the required range of wind speed within 5-20 m/s is solved, blade position angle variation within 0 - 2% under generator rotor winding current variation not exceeding allowable error (2%) and taking account parameters affecting asynchronous generator voltage stability: induction resistance, reduced induction resistance; stator winding phase resistance, reduced stator winding phase resistance, was solved. Research Necessity of wind-electrics unit control by non-stationary operating modes under the conditions of change of measurement height of wind speed that can lead to distortion of output control results caused by the big error of measured meteorological values and consequently, negative effect on energy-unit vibrating loading, is proved. The analysis of researches made, concerning change of wind speed measurement height for wind-turbine USW56-100 has shown, that wind speed measured at 10 m height, below energy-unit by 14 m is 1m/s smaller than the actual wind speed that may icrease the error between actual and nominal angular speed of rotor wind-turbine from 3% to 17% that exceeds limits of an admissible error (2%), and generates vibrating loading of energy-unit drive and consequently, demands control, wind speed measurement height alteration by means of exponential law of a profile.

The impact of price transparency of bundled vacation packages on travel decision making: An experimental study.

Price transparency is a vital factor in consumers' judgements and decisions. When selecting a bundled vacation package, travelers are often influenced by transparency in the prices of individual elements of the package. However, because of the diversity of elements bundled in a vacation package, it is a challenge to research the impact of price transparency. To try to overcome this challenge, our study used five experiments to examine the primary impact of element price transparency on travelers' purchases, along with the moderating effects of consumer involvement and the vertical position of element prices in product descriptions. For the primary effect, we found that tourists preferred vacation packages with low transparency in element prices. We also found that the primary effect of price transparency remained consistent and robust across both revised and actual vacation packages. For moderating effects, we found that tourists with low involvement attached greater importance to price transparency than those with high involvement when the element price was presented higher in the product description of the travel package. The findings of the five experiments have theoretical implications for price transparency and Heuristic-systematic Model and practical implications for tourism professionals designing and marketing vacation packages.

Mechanisms of the carcinogenicity of nanomaterials

Nanomaterials become more widespread in the different areas of human life, forming the new technosphere philosophy, in particular, new approaches for development and usage of these materials in everyday life, manufacture, medicine etc.The physicochemical characteristics of nanomaterials differ significantly from the corresponding indicators of aggregate materials and at least some of them are highly reactive and / or highly catalytic. This suggests their aggressiveness towards biological systems, including involvement in carcinogenesis. The review considers the areas of use of modern nanomaterials, with special attention paid to the description of medicine production using nanotechnologies, an analysis of the mechanisms of action of a number of nanomaterials already recognized as carcinogenic, and also presents the available experimental and mechanistic data obtained from the study of the carcinogenic / procarcinogenic effects of various groups of nanomaterials currently not classified as carcinogenic to humans.Preparing the review, information bases of biomedical literature were analysed: Scopus (307), PubMed (461), Web of Science (268), eLibrary.ru (190) were used. To obtain full-text documents, the electronic resources of PubMed Central (PMC), Science Direct, Research Gate, Sci-Hub and eLibrary.ru databases were used.

Based on Statistical Analysis and Regression Model Analysis the Influencing Factors of College Students' Online Shopping Satisfaction

It is popular for people to purchase goods online, the college students are the main part of the customs shopping online. This study is to figure out what factors can influence the online shopping satisfaction of college students by using a self-compiled questionnaire. Then this paper uses a regression model to analyze the data collected from college students. The results show that most college students shop online once or three times a week, and their average monthly consumption amount is around 1,000 yuan. The whole attitude presents a positive attitude among college students. What’s more, the main factors affecting consumers 'satisfaction with online shopping are: the product description is not expected, the sellers' services, the website information security and the convenience of the website. Only by finding out the main influencing factors can this report put forward opinions accordingly, to optimize the online shopping experience and further promote the prosperity and evolution of online shopping.

Agarabi pottery production in the Eastern Highlands of Papua New Guinea

The only pottery known to have been produced in the New Guinea Highlands is associated with communities speaking Agarabi, a non-Austronesian language in the Eastern Highlands of Papua New Guinea. This paper provides a comprehensive summary of Agarabi pottery forms and production processes, combining published sources with previously unpublished records, notes, sketches and photographs from ethnoarchaeological fieldwork amongst Agarabi speakers in the Kainantu District in 1987. Agarabi vessels are characterised by their ovoid elongated shape with gently pointed bases and out-curving rims. Decoration, where it is present, occurs on the rims and / or around the neck and consists of incisions or punctate impressions, often from multi-toothed combs. These characteristics clearly distinguish Agarabi ware from pottery produced in communities speaking Austronesian languages in the neighbouring Upper Markham and Middle Ramu valleys. The multi-faceted description of Agarabi pottery production presented here provides a foundation for further enquiry into the cultural processes and historical trajectories that have shaped this unique Highlands ceramic ware.

Learning Explainable Disentangled Representations of E-Commerce Data by Aligning Their Visual and Textual Attributes

Understanding multimedia content remains a challenging problem in e-commerce search and recommendation applications. It is difficult to obtain item representations that capture the relevant product attributes since these product attributes are fine-grained and scattered across product images with huge visual variations and product descriptions that are noisy and incomplete. In addition, the interpretability and explainability of item representations have become more important in order to make e-commerce applications more intelligible to humans. Multimodal disentangled representation learning, where the independent generative factors of multimodal data are identified and encoded in separate subsets of features in the feature space, is an interesting research area to explore in an e-commerce context given the benefits of the resulting disentangled representations such as generalizability, robustness and interpretability. However, the characteristics of real-word e-commerce data, such as the extensive visual variation, noisy and incomplete product descriptions, and complex cross-modal relations of vision and language, together with the lack of an automatic interpretation method to explain the contents of disentangled representations, means that current approaches for multimodal disentangled representation learning do not suffice for e-commerce data. Therefore, in this work, we design an explainable variational autoencoder framework (E-VAE) which leverages visual and textual item data to obtain disentangled item representations by jointly learning to disentangle the visual item data and to infer a two-level alignment of the visual and textual item data in a multimodal disentangled space. As such, E-VAE tackles the main challenges in disentangling multimodal e-commerce data. Firstly, with the weak supervision of the two-level alignment our E-VAE learns to steer the disentanglement process towards discovering the relevant factors of variations in the multimodal data and to ignore irrelevant visual variations which are abundant in e-commerce data. Secondly, to the best of our knowledge our E-VAE is the first VAE-based framework that has an automatic interpretation mechanism that allows to explain the components of the disentangled item representations with text. With our textual explanations we provide insight in the quality of the disentanglement. Furthermore, we demonstrate that with our explainable disentangled item representations we achieve state-of-the-art outfit recommendation results on the Polyvore Outfits dataset and report new state-of-the-art cross-modal search results on the Amazon Dresses dataset.

THE IMPACT OF PRODUCT DESCRIPTION OF INVOLVEMENT PLATFORM TOWARDS PURCHASE INTENTION AT ONLINE STORES ON THE MARKETPLACE PLATFORM

This quantitative method research aims to determine whether the product description influences purchase intention, with the mediation of enduring and situational involvement as part of platform involvement. This research is based on the Theory of Planned Behavior (TPB), Involvement theory, and previous research on product description, platform involvement, and purchase intention on online platforms. The number of samples in this study was 95 respondents, with the determination of the sample using a purposive sampling technique, with the respondent’s criteria being online consumers who had made transactions on the Tokopedia and Shopee marketplace platforms. The data analysis method is structural equation modelling Partial Least Square (SEM-PLS) with SmartPLS 3.3.7 software. The results of this study indicate that product description can positively and significantly affect enduring and situational involvement. However, the mediation between the product description and purchase intention is only fully found on the situational involvement variable, while enduring involvement does not affect purchase intention. It is different from the results of previous studies, which stated that enduring and situational involvement influence purchase intention. The implications for further researchers, it is recommended to reuse enduring involvement and purchase intention variables and other variables that can lead to enduring involvement concerning consumer purchase intention. Different types of products, populations, and analytical models, can be used to conduct further research to provide a more complete and appropriate description and data.