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Background: For patients with interstitial lung diseases (ILDs) presenting with a progressive pulmonary fibrosis (PPF) phenotype, current knowledge of disease characteristics at diagnosis, patient journey, and treatment is limited. This study aimed to describe demographics and clinical experiences of patients presenting with PPF in a European real-world setting. Methods: Data were analysed from the Adelphi Real World PPF-ILD Disease Specific Programme™, a cross-sectional survey of pulmonologists and rheumatologists in five European countries (France, Germany, Italy, Spain, United Kingdom) and internal medicine specialists (France) from April to October 2022. Physicians provided data for up to 12 consecutive patients with physician-confirmed ILD with a progressive phenotype other than idiopathic pulmonary fibrosis. Analyses were descriptive. Results: Overall, 265 physicians reported on 1,335 patients. Mean (standard deviation) age at survey date was 60.4 (11.6) years, 91.2% were white, 58.1% female, 44.0% non-smokers. Most patients (63.3%) first consulted a primary care physician. There was a mean delay of 7.8 (22.7) months between first ILD symptom and healthcare professional visit, and another 7.7 (12.8) months to ILD diagnosis. At survey date, 47.7% of patients had physician-reported moderate ILD, 42.3% had mild ILD and 10.0% had severe ILD. Disease progression was reported in the 12 months prior to the survey for 19.5% of patients; of these, progression was based on worsening symptom in 27.3% and lung function decline in 25.8%. For patients experiencing symptoms prior to ILD diagnosis (72.8%), the most common symptoms were dyspnoea on exertion (80.5%) and cough (57.8%). Overall, 17.4% of patients were misdiagnosed prior to ILD diagnosis, with chronic obstructive pulmonary disease suspected in 39.2% of them. The most frequent comorbidities were anxiety (16.9%) and gastroesophageal reflux (15.5%). Although 77.8% of patients were receiving treatment for ILD at survey date, 15.6% of patients had never been prescribed treatment for ILD. Conclusions: This real-world study expands our understanding of patients, diagnostic delays and treatment gaps experienced by patients diagnosed with PPF in Europe. There was a mean delay of 15.5 months between first ILD symptoms and ILD diagnosis. Given the progressive nature of PPF, diagnostic delay may lead to poor outcomes, including shorter survival. Trial registration: N/a. [ABSTRACT FROM AUTHOR]

Social determinants of health (SDOH) have been insufficiently addressed by payers and providers despite increased prioritization at the national level. This led to the development of a separate, for-profit "SDOH industry" found to have a valuation of $18.5 billion (all dollar amounts in U.S. dollars) with $2.4 billion in funding as of July 2021. The purpose of this article is to determine the growth of the industry from 2021 to 2023 and provide a multifaceted explanation for this development. The authors conducted an analysis of 57 SDOH industry companies using a third-party market research platform. Over the previous two-year period, 10 out of 57 (18%) companies were acquired, and the industry gained an additional $1.1 billion (46% increase) in funding and $13.7 billion (74% increase) in valuation. The authors propose four contributing factors to explain the nature of this industry's evolution. They include developments in national health care policy favoring SDOH, standardization of SDOH information as actionable claims data, multi-source investment in SDOH, and improved methods of industry intervention measurement. These trends appear likely to continue, requiring additional scrutiny by all relevant stakeholders to ensure maximum improvement of rampant SDOH disparities that impact millions of individuals daily. [ABSTRACT FROM AUTHOR]

This article explores the ethical dilemmas that arise in product development and the release of unsafe products. It provides examples of the Stint electric cargo bike, Philips respiratory ventilators, and Boeing's 737 MAX airplanes to illustrate how the pressure to compete in the market can compromise safety and quality. The author argues for the importance of ethical leadership, a culture of quality, and responsible product development. They also call for increased training in ethics and leadership for those involved in technology development. Additionally, the article discusses the challenges of regulating next-generation, AI-powered product ecosystems and raises concerns about the potential societal and health impacts of incorporating AI into products. The author emphasizes the need for a cautious and responsible approach to product development. [Extracted from the article]

Purpose: The article aims to answer the question of which of the economic policy instruments may have the greatest impact on the acceptance of renewable energy sources by the business sector in Poland. Design/methodology/approach: The research process used a tool in the form of a method (CAWI), which was used to verify the role of selected economic policy instruments in the process of the announced energy transformation. The research area focused on assessing the possibility of changes in the acceptance of renewable energy sources by the business sector in selecting economic policy instruments. Economic and non-economic instruments were analyzed. Conclusions: The authors conclude that the management of the process of acceptance of renewable energy sources by the business sector should be implemented using appropriately selected economic policy instruments and go hand in hand with changes taking place in the economic environment. Research limitations/implications: The presented survey research was conducted on a specific research sample of approximately 250 respondents-entrepreneurs in a selected voivodeship, which is a national leader in the development of renewable energy sources. It is necessary to conduct much broader analyses and research, in particular covering regions of Poland where the share of energy obtained from renewable sources is negligible. Practical implications: The research results are the first approach to indicate to government administration entities which economic policy tools have the greatest impact on managing the process of acceptance of renewable sources by the business sector in Poland. Practical implications: The research results are the first approach to indicate to government administration entities which economic policy tools have the greatest impact on managing the process of acceptance of renewable sources by the business sector in Poland. [ABSTRACT FROM AUTHOR]

Abstract Background For patients with interstitial lung diseases (ILDs) presenting with a progressive pulmonary fibrosis (PPF) phenotype, current knowledge of disease characteristics at diagnosis, patient journey, and treatment is limited. This study aimed to describe demographics and clinical experiences of patients presenting with PPF in a European real-world setting. Methods Data were analysed from the Adelphi Real World PPF-ILD Disease Specific Programme™, a cross-sectional survey of pulmonologists and rheumatologists in five European countries (France, Germany, Italy, Spain, United Kingdom) and internal medicine specialists (France) from April to October 2022. Physicians provided data for up to 12 consecutive patients with physician-confirmed ILD with a progressive phenotype other than idiopathic pulmonary fibrosis. Analyses were descriptive. Results Overall, 265 physicians reported on 1,335 patients. Mean (standard deviation) age at survey date was 60.4 (11.6) years, 91.2% were white, 58.1% female, 44.0% non-smokers. Most patients (63.3%) first consulted a primary care physician. There was a mean delay of 7.8 (22.7) months between first ILD symptom and healthcare professional visit, and another 7.7 (12.8) months to ILD diagnosis. At survey date, 47.7% of patients had physician-reported moderate ILD, 42.3% had mild ILD and 10.0% had severe ILD. Disease progression was reported in the 12 months prior to the survey for 19.5% of patients; of these, progression was based on worsening symptom in 27.3% and lung function decline in 25.8%. For patients experiencing symptoms prior to ILD diagnosis (72.8%), the most common symptoms were dyspnoea on exertion (80.5%) and cough (57.8%). Overall, 17.4% of patients were misdiagnosed prior to ILD diagnosis, with chronic obstructive pulmonary disease suspected in 39.2% of them. The most frequent comorbidities were anxiety (16.9%) and gastroesophageal reflux (15.5%). Although 77.8% of patients were receiving treatment for ILD at survey date, 15.6% of patients had never been prescribed treatment for ILD. Conclusions This real-world study expands our understanding of patients, diagnostic delays and treatment gaps experienced by patients diagnosed with PPF in Europe. There was a mean delay of 15.5 months between first ILD symptoms and ILD diagnosis. Given the progressive nature of PPF, diagnostic delay may lead to poor outcomes, including shorter survival. Trial registration N/a.

This article is different, in a good way. This article draws inspiration from Australian Indigenous scholar Nakata's (2007) theory of the cultural interface—the touchpoint between Western knowledge systems and Indigenous knowledge systems. Come with me, and let me tell you a story about Indigenous methodologies and other acts of research sovereignty using an Indigenous storytelling methodology. Let me tell you about my reflections as an Aboriginal marketing professor, and be warned, I will challenge you with provocative questions designed to shock you into new thinking and truth-telling. I will also provide guidance to improve your market research practice. [ABSTRACT FROM AUTHOR]

This paper elicits and analyzes the main requirements for Smart Pedestrian applications designed to enhance the pedestrian experience in urban environments by offering optimized walking routes, improved accessibility, and support for social inclusion and connectivity. Utilizing a mixed-methods approach, the research combines qualitative insights with quantitative data analysis based on surveys conducted in two strategically selected urban areas of Nicosia, Cyprus. Through the survey, the requirements and potential use of Smart Pedestrian apps are investigated while accounting for the quality of service of the urban infrastructure in a medium-sized city context. Additionally, the study contrasts the current smartphone applications, as they predominantly facilitate vehicular transportation, with the potential use of ICT/ITS to support pedestrians for sustainable mobility. The findings reveal a significant demand for a Pedestrian Smartphone app, driven by its ability to provide relevant information on optimum pedestrian routes, as well as act as a citizen’s voice for spotting infrastructure problems and improving the pedestrian network. Further, it is also revealed that limitations in the pedestrian infrastructure substantially restrict walking preferences, emphasizing the need for urgent city-level urban planning solutions to support active mobility. Additionally, the research carried out underscores the importance of a sustainable business model to support the successful deployment of Smart Pedestrian apps. Ultimately, the results of the study suggest prioritizing a smart technology leverage with a crowdsourcing social network business model to promote pedestrian mobility, thereby reducing vehicular dependence, enhancing public health, and improving the quality of life. Such an approach would act as catalyst for policymakers to concentrate on sustainability by investing in digital technology for integrated pedestrian networks, fostering the emergence of genuine smart cities.

We applied an algebraic approach to solve a system consisting of four objective functions such that practitioners can absorb operational studies with two completed supply chains under service competition and relative price conditions. We extended the application of algebraic methods to a new environment that will arouse interested researchers to work on this research trend. Moreover, we checked a related inventory model to point out that the previously proposed solution procedure only considered the case where the numerator and denominator of the objective function both are positive real numbers. Hence, we provie a revision for their solution process to cover the overlooked four conditions. [ABSTRACT FROM AUTHOR]

Lutein is a naturally occurring carotenoid synthesized by plants and algae that has a beneficial effect on several biological processes and associated ailments. Its immediate application is in ophthalmology, where it significantly lowers the incidences of age‐related macular degeneration (AMD). It also has anti‐inflammatory action, treatment of diabetic retinopathy, and cataracts, and enhancement of visual contrast. To critically assess lutein biosynthesis, therapeutic applicability, and market research literature. We have discussed its theoretical frameworks, experimental evidence, limitations, as well as clinical trial results, and future research prospects. The literature for this review article was mined and compiled by collecting and analyzing articles from several databases, including ScienceDirect, Google Scholar, PubMed, Wiley Online Library, Patentscope, and ClinicalTrials.gov published until March 30, 2022. Patent publications were identified using the search terms like IC:(C07C67/56) AND EN_AB:(lutein) OR EN_TI:(lutein) OR EN_AB:(extraction) OR EN_TI:(process). According to the literature, lutein is an essential nutrient given that it cannot be synthesized in the human body and acts as an antioxidant, affecting AMD, diabetic retinopathy, Rheumatic diseases, inflammation, and cancer. Due to inadequate production and laborious extraction, lutein is expensive despite its high demand and applicability. Market research predicts a 6.3% compound annual growth rate for lutein by 2032. Optimizing lutein extraction for high yield and purity is necessary. Lutein has proven applicability in various ailments as well as cosmetics that can be developed as a candidate drug for various diseases discussed in the review. [ABSTRACT FROM AUTHOR]

This paper explores the design of logos in the aeronautical field, especially for the Faculty of Aerospace Engineering from Bucharest. The article aims to identify a new image for the Faculty of Aerospace Engineering in order to create a corporate identity manual to illustrate the use of the new logo in different situations and environments. The perfect candidate to represent the institution will be decided based on a survey which measures the public's receptivity to 5 proposed variants for the logo. [ABSTRACT FROM AUTHOR]

Copyright of Transfer: Zeitschrift für Kommunikation & Markenmanagement is the property of Deutsche Werbewissenschaftliche Gesellschaft and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transfer: Zeitschrift für Kommunikation & Markenmanagement is the property of Deutsche Werbewissenschaftliche Gesellschaft and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transfer: Zeitschrift für Kommunikation & Markenmanagement is the property of Deutsche Werbewissenschaftliche Gesellschaft and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Transfer: Zeitschrift für Kommunikation & Markenmanagement is the property of Deutsche Werbewissenschaftliche Gesellschaft and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The ethical issues involved with marketing research are receiving increased public scrutiny, prompting calls for marketing scholars and research practitioners to revisit the issue. To support researchers and practitioners, this paper provides a systematic scoping review of research on the ethics of market research developed across a range of literatures (N = 134). It demonstrates that, over 70 years, marketing scholars have explored the ethics of market research from normative, descriptive, theoretical and technical approaches. But, while marketing scholars were once at the forefront of theorising the ethics of marketing research, the field is increasingly fragmented and specialized. The result is that, following a series of theoretical innovations in the 1980s, progress has all but ended. We ask why marketing scholars have turned away from the ethics of marketing research given the importance of the topic in practice. [ABSTRACT FROM AUTHOR]

As technology advances and lifestyles shift, the aquatic prepared dishes market in China is presented with a growing opportunity. To comprehend its current landscape and consumers genuine wants, this study investigated products and preferences on three major online shopping platforms, using a mix of online and offline surveys. We found that consumers are inclined towards meals featuring Channaargus, Haliotis, Holothuroidea, and fish maw, with products using seafood as raw materials being more popular than those using freshwater sources. In terms of flavors, aquatic prepared dishes offer a diverse range, among which the original taste, spicy sour, and mala's numbing sensation are the most popular flavors. Regarding cooking methods, consumers prefer ready-to-heat products, followed by ready to cook, ready to cook, and ready to eat categories. Common criticisms include small serving sizes, lack of freshness, subpar quality, high prices, unimpressive flavors, peculiar aftertastes, and excessive additives. To address these challenges, this paper offers insights and potential solutions, aiming to guide the flourishing future of China's aquatic prepared dishes sector. [ABSTRACT FROM AUTHOR]

The number of innovation-orientated start-ups in Germany has been declining in recent years. A common reason for the failure of start-ups is that there is no market demand for the products and services on offer and too little attention is paid to this issue. However, market research is an important prerequisite for successful business start-ups. Therefore, an information research guide for market research is presented, which contains a methodical and structured procedure and shows the individual areas of investigation in the market research process. The information research guide is based on extensive practical and theoretical experience from the university and consultancy environment. It is supplemented by a literature and information resource search in university libraries in Silicon Valley, which successfully support their students regarding start-ups in a variety of ways from the beginning of their studies. [ABSTRACT FROM AUTHOR]

Predicting pedestrian crossing trajectories has become a primary task in aiding autonomous vehicles to assess risks in pedestrian–vehicle interactions. As agile participants with changeable behavior, pedestrians are often capable of choosing from multiple possible crossing trajectories. Current research lacks the ability to predict multimodal trajectories with interpretability, and it also struggles to capture low-probability trajectories effectively. Addressing this gap, this article proposes a multimodal trajectory prediction model that operates by first estimating potential motion trends to prompt the generation of corresponding trajectories. It encompasses three sequential stages. First, pedestrian motion characteristics are analyzed, and prior knowledge of pedestrian motion states is obtained using the Gaussian mixture clustering method. Second, a long short-term memory model is employed to predict future pedestrian motion states, utilizing the acquired prior knowledge as input. Finally, the predicted motion states are discretized into various potential motion patterns, which are then introduced as prompts to the Spatio-Temporal Graph Transformer model for trajectory prediction. Experimental results on the Euro-PVI and BPI datasets demonstrate that the proposed model achieves cutting-edge performance in predicting pedestrian crossing trajectories. Notably, it significantly enhances the diversity, accuracy, and interpretability of pedestrian crossing trajectory predictions. [ABSTRACT FROM AUTHOR]

Abstract: This paper explores the design of logos in the aeronautical field, especially for the Faculty of Aerospace Engineering from Bucharest. The article aims to identify a new image for the Faculty of Aerospace Engineering in order to create a corporate identity manual to illustrate the use of the new logo in different situations and environments. The perfect candidate to represent the institution will be decided based on a survey which measures the public's receptivity to 5 proposed variants for the logo

A grid-based approach to exploratory data analysis is described wherein the size of a grid's cells may be altered. The primary tool of exploratory data analysis described here is cluster analysis. Background information is provided regarding the different types of clustering algorithms and their effectiveness. A grid-based approach for exploratory and cluster analysis is then described. Both exploratory and cluster analyses are performed for a series of different sizes of grid cells. Two marketing data sets are utilized to illustrate research questions often faced by market researchers. The first is a cluster analysis of cities used to create strata for selecting a representative probability sample. The second example is a segmentation of customers into groups for the purpose of targeting advertising and product insight. These examples illustrate related issues such as the elimination of "background noise" observations, significance tests for departures from uniform density, and metrics for the shape of a cluster. [ABSTRACT FROM AUTHOR]

The object of the study is the determination of ecological and economic efficiency in relation to the production of organic niche products. The strategic perspective of the production and export of organic niche products in Ukraine is considered as one of the ways to overcome economic challenges exacerbated by global instability and geopolitical tensions. The production of organic products is outlined as a strategically important direction of the country’s agricultural sector, which has significant export potential, especially to the countries of the European Union, where there is a steady increase in demand for organic products. A comprehensive approach to strategy implementation is proposed, which includes market research, production development, marketing and branding, as well as optimization of logistics and export processes. The dynamics of the main indicators of the development of organic agriculture in Ukraine from 2010–2021, the volume of imports of organic products to the countries of the European Union by exporting countries were analyzed. To date, only 1 % of agricultural crops are «eco», the volume of organic products has significantly increased, and the yield of organic products has increased by 5–20 % with a corresponding reduction in material costs. Since the end of the 1990s, the agricultural sector of Ukraine began to focus intensively on organic production, taking into account the growing global trend towards the sustainable development of the agro-industrial complex, etc. Given their uniqueness, growing niche crops can offer advantages such as minimal competition and the potential for significant profits, especially when the products find widespread use. A comparative analysis of the production of organic products on the domestic and foreign markets of Ukraine was conducted. A SWOT analysis of the production of organic products in Ukraine was developed to determine the strengths and weaknesses. The practical value is providing advice to producers on growing niche crops, creating market demand, attracting foreign partners to implement such projects in Ukraine, which will contribute to strengthening the economic potential of agricultural producers. This will help increase the competitiveness of domestic enterprises in the local and global markets, make them more resistant to economic challenges and help reduce risks, etc. [ABSTRACT FROM AUTHOR]

Creating specific datasets for machine learning models is a frequent and challenging task, requiring considerable effort in sample collection and maintaining a balanced representation of each class. In this study, our objective was to create a training dataset for a sentiment analysis model by combining results obtained from 5 natural language processing tools through 3 distinct approaches, aiming to automatically label various tweets in the negative, neutral, and positive classes. Additionally, we applied data balancing techniques to assess different methods' impacts on the sentiment analysis models' ability to generalize classes to previously unseen samples. The results demonstrated that the three approaches used to combine tool results and apply balancing techniques provided significantly superior outcomes compared to models with imbalanced datasets. These advancements enabled sentiment analysis models to achieve greater precision and generalization capacity for novel samples. These findings underscore the importance of considering effective data balancing strategies when creating training datasets for machine learning applications, especially in tasks sensitive to class imbalance, such as sentiment analysis. This enhanced approach is crucial to improving the performance and applicability of sentiment analysis models in real-world scenarios, providing more precise data analyses that unveil valuable insights in digital marketing. [ABSTRACT FROM AUTHOR]

Consumer Packaged Goods (CPG) play a pivotal role in customer-centric industries. Understanding the distinctive features of such products and how customers engage with them is essential for CPG manufacturers to create customer-winning products. In this study, we explore an innovative data-centric approach to forecast customer engagement for CPG products by monitoring their digital evolution, particularly in the Snacks category in the USA. Traditional methods for consumer analysis such as surveys, focus groups are time consuming, costly and ineffective with limited scope. They also lack a forecasting component, making it difficult for CPG companies to make forward-looking decisions. However, with the emergence of big data, we can leverage user generated public data from social media, web search, e-commerce platforms to estimate consumer engagement and make long-term forecasts. To achieve this, we propose a systematic approach to accumulate and prepare large datasets from heterogeneous web sources for CPG products. We then use state-of-the-art deep learning based time series forecasting models to efficiently train and predict consumer engagement for the next 12 months, benchmarking their computational efficiency and forecasting performance. Our findings indicate that the DeepAR model outperforms all other models, with the lowest NRMSE (=0.378), RMSE (=14.848) MSE (=220.457), MASE (=0.871), and sMAPE (=0.306) values. Furthermore, we demonstrate methods for computing single forecasting points and prediction intervals using the forecasted sample distribution from the probabilistic models. The proposed approach will provide CPG businesses with valuable insights to make informed decisions about product development, marketing strategies, and supply chain management. [ABSTRACT FROM AUTHOR]

The paper explores the potential of Large Language Models to substitute for or to augment human participants in market research. This paper explores the potential of large language models (LLMs) to substitute for human participants in market research. Such LLMs can be used to generate text given a prompt. We argue that perceptual analysis is a particularly promising use case for such automated market research for certain product categories. The proposed new method generates outputs that closely match those generated from human surveys: agreement rates between human- and LLM- generated data sets reach over 75%. Moreover, this applies for perceptual analysis based on both brand similarity measures and product attribute ratings. The paper demonstrates that, for some categories, this new method of fully or partially automated market research will increase the efficiency of market research by meaningfully speeding up the process and potentially reducing the cost. Further results also suggest that with an ever larger training corpus applied to large language models, LLM-based market research will be applicable to answer more nuanced questions based on demographic variables or contextual variation that would be prohibitively expensive or infeasible with human respondents. History: Catherine Tucker served as the senior editor. This paper was accepted through the Marketing Science: Frontiers review process. Funding: This work was supported by the Social Sciences and Humanities Research Council of Canada [Grant 430-2021-00057]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mksc.2023.0454. [ABSTRACT FROM AUTHOR]

Autonomous vehicles (AVs) are expected to reshape future transportation systems, and decision making is one of the critical modules toward high-level automated driving. To overcome those complicated scenarios that rule-based methods could not cope with well, data-driven decision-making approaches have aroused more focus. The datasets to be used in developing data-driven methods dramatically influence the performance of decision making; hence, it is necessary to have a comprehensive insight into the existing datasets. From the aspects of collection sources, driving data can be divided into vehicle-, environment-, and driver-related data. This study compares the state-of-the-art datasets of these three categories and summarizes their features, including sensors used, annotation, and driving scenarios. Based on the characteristics of the datasets, this survey also discusses potential applications of datasets on various aspects of AV decision making, assisting researchers in finding appropriate ones to support their own research. The future trends of AV dataset development are summarized. [ABSTRACT FROM AUTHOR]

Although radio still holds a high status among everyday media users in German society, there has been a clear downward trend in the usage of mainstream pop radios in recent years. In this essay, we highlight six central problems of current linear mainstream music radio and present possible solutions for creating more attractive and contemporary programs. In sum, we argue for greater inclusion of music editors' creativity and experience, which is connected to the conscious downgrading of music-based market research, and for a stronger harmonization and curation of at least parts of the program by editors and moderators. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to identify the profiles of beginner and experienced consumers (BCs and ECs) of craft beer and evaluate their perception, knowledge and purchase intention. Design/methodology/approach: A total of 291 craft beer consumers including 148 BCs and 143 ECs participated in the study, which was divided into 2 stages: quantitative research through a questionnaire and conjoint analysis. Findings: BCs are mostly female, with a lower age, income and consumption frequency, presented a shallower understanding of International Bitterness Units (IBU) and considered 7.0% alcohol by volume (ABV) as a high-relative value in craft beers. Otherwise, ECs are mostly men with a higher age and consumption frequency, and they don't consider 50 IBU as high bitterness. The results of conjoint analysis indicate that both groups of consumers attribute greater relative importance to ABV and nonalcoholic beers had lower purchase intentions. Finally, the authors show that beer with 30 IBU and 4.5% ABV is preferred by both BCs and ECs. Originality/value: The authors' identification about the distinct behaviors of different groups of consumers, based on their consumption time of craft beer, as managerial implications for industries producing craft beer and, as a theoretical contribution, the authors have defined "BCs" and "ECs" based on the experiences with and durations of craft beer consumption. [ABSTRACT FROM AUTHOR]

Startups have become a buzzword in the last couple of years, and entrepreneurship became career path for a number of people in the world. With all the advances in education and government subsidizing all over the world, still, statistics shows only a small percentage of successful startups. Studies have shown that the one the leading reasons for startup failure is the misreading of market’s needs. The aim of this paper is to determine the approach to market research, knowledge of tools and methods, and preferences towards online market research tools of entrepreneurs by using Discrete Choice Analysis. The research gathered 187 valid responses from a panel of participants working on developing new products and business, using an online survey tool. In the paper it is shown that the most important attributes for entrepreneurs are the price of the market research tool, followed by the level of details in the report generated, with more in-depth analysis regarding segmentation, simulations, and Marginal Willingness to Pay in the further chapters. The results of the research imply the need for a market research business model optimized for those starting a new business, focused primarily on detailed reporting and analysis, with the pricing model adjusted to the lack of resources entrepreneurs face at the start of their ventures, which would help them better understand the market-fit at the beginning and raise the statistic of successful startups.

Agriculture plays an important role in the development of any country, which makes it important to study and consider the peculiarities of its development. One of the components of the agricultural sector is the sugar industry, which makes its analysis relevant. Thus, the research aims to form methods for increasing the level of competitiveness of sugar industry products. The study was conducted within the framework of the Republic of Kazakhstan, considering the features that characterize the development of the industry in the country. The main method of the study can be considered modeling. In addition, it is worth noting the analysis, historical method, induction, and others. Thus, the research considered the main trends in the volume of beet cultivation in Kazakhstan. It was shown that the number of tons of production in a section of 1 hectare in the country increases over time, which is a good indicator of the development of the industry. The mechanism of increasing the competitiveness of sugar products was also shown and substantiated. The authors concluded that it is possible to reach better results for the enterprises of the sector if the state has a more active influence on the activity of the companies in the aspect of economic assistance, as well as if it provides technological infrastructure development, personnel training, an increase of production possibilities, usage of new varieties of beet for increasing the level of fertility, etc. Thus, this study creates new knowledge in the context of studying the peculiarities of the state-stimulating policy, as well as provides an opportunity to take a different look at the sugar industry market in Kazakhstan, and the features of its development

The word rehabilitation is of Latin origin (sanacio) and means treatment, from the point of view of the economy of the company, rehabilitation means economic and technical-organizational measures that should contribute to the recovery of the company, in the sense of making it liquid and profitable again. A company is considered sick if, in the long run, it is unable to meet its obligations and operates at a loss. The causes of the disease can be external and internal. Financial difficulties, manifested in illiquidity and unprofitability, cause the need for rehabilitation. Initiation of remediation presupposes remediation eligibility, which exists if permanent recovery of the company is possible. Determining the suitability of rehabilitation involves examination and selection of measures, the implementation of which ensures the permanent recovery of the company, in the sense of re-establishing the financial balance and returning to the profit zone. This paper explores the food industry business market as an example, highlighting the key role of market research in successful economic recovery. Through this example, market research becomes a fundamental framework for identifying the changes that a company needs to implement in its operations in order to become more competitive. The example will show the market research of companies from the food industry. There is no successful economic rehabilitation without market research. This example can serve as a framework for market research, which provides answers to the question of what the company needs to change in its business in order to be more successful than the competition. The research results have significant implications for managers, experts and political decision-makers, providing them with information necessary for effective management of financial crises and ensuring the stability of companies, as well as a faster understanding of the competitive business environment.

Market researchers and the market research industry more generally have paid little attention to the history of market research. This inattention to the past has not only resulted in a significant gap in our knowledge of market research and history more generally, it has also obscured the benefits that can be derived from an understanding of history. Using letters, reports and survey contained in the Ashby Research Service archive at the State Library of New South Wales in Australia, this article seeks to illustrate the benefits to be derived from undertaking historical research on market research and those involved in the market research business. By examining some of the cultural factors informing market research business practices and the ways that the marketing and the media industries have interacted with market researchers, this article not only takes step in addressing the gap in our knowledge of market research history, it also demonstrates the relevance and importance of market research history for business and marketing historians and, indeed, market research scholars and practitioners. [ABSTRACT FROM AUTHOR]