Industrial Market Research Articles

Evolution of Colombia’s market for manufactured products of the wood industry

A detailed exploration of the development of Colombia's market for manufactured products of the wood industry since its early days, with an analytical focus on the period 1970-2021, is presented. The examination of early days draws upon historical information, wood industry-specific statistics derived from Colombia’s Annual Manufacturing Survey and industrial census, and data from the National Accounts of Colombia (NAC), which offers insightful understanding of the market dynamics up to the end of the 1960s. For 1970 to 2021 comprehensive consolidated data derived from the Supply and Use Tables of the NAC and other sources provides the base for an in-depth examining of the market aspects such as quantities of supply (national production), demand, and the components of demand – including domestic consumption, exports, and imports. The exploration reveals a significant shift in the manufactured products of the wood industry market’s dynamics, transitioning from a primarily domestic consuming and export-driven one to a market increasingly reliant on imports to satisfy domestic consumption. Critical factors contributing to this shift are identified, highlighting Colombian forest resource depletion and inadequate nation’s wood industry development. The paper synthesizes historical data to articulate the interplay between economic policies and market outcomes, culminating in a discernible need for strategic industry modernization. Furthermore, it offers comprehensive and detailed information, facilitating a thorough understanding of all market aspects without necessitating consultation of additional sources.

Face bonding strength of cross laminated northern hardwoods and softwoods lumber

Producing cross-laminated timber (CLT) has opened a new market for the lumber industry in North America, while few hardwood species have been studied in the U.S. for CLT production. Combining hardwood species in mixed hardwood CLT or in hybrid CLT can be a solution to boost the market of the undervalued hardwoods. However, the knowledge gap on bonding hardwoods needs to be filled to provide evidence of feasibility. This study focused on the face bonding properties of the cross laminations made of seven hardwood species and two softwood species from the Great Lakes region using two commercial structural adhesives, the phenol resorcinol adhesive (the Resorcinol) and the melamine urea formaldehyde adhesive (the Melamine). A total of 45 combinations of the selected species were studied for the bonding strength (shear under compression) and the percentage of wood failure. For single species samples, the bond strength was positively related to the specific gravity of wood and the bond strength of hardwoods was 33% and 82% stronger than that of softwoods bonded with the Resorcinol and the Melamine respectively. The mixed hardwoods showed higher bonding strength (the Melamine: 5.45 MPa, the Resorcinol: 5.28 MPa) than mixed softwoods (the Melamine: 2.8 MPa and the Resorcinol: 2.7 MPa). Among the Resorcinol bonded mixed combinations, 54% had a percentage of wood failure less than 80%, while the Melamine bonded had only 4 out of 22 which had a percentage of wood failure less than 80%. The overall bonding strength of the hybrid combinations was 5% weaker than that of the mixed hardwoods. All hybrid combinations bonded with the Melamine met the 80% wood failure criterium, but some bonded with the Resorcinol had a percentage of wood failure less than 80%. Anatomical features, especially pore distribution, played a key role in the bonding performance. However, the Melamine adhesive consistently achieved over 80% wood failure across all pore distribution types.

Industrial catalyst market size to grow to $32.5 bn by 2034 at a CAGR of 3.8%

Industrial catalyst market size to grow to $32.5 bn by 2034 at a CAGR of 3.8%

Conversions of Jacob Hodges: Religion, Race, and Labor in Prison Reform Literature

Abstract: Born to a free Black family, Jack Hodges (ca. 1763–1842) was arrested for the murder of a white man in 1819 and served a term at New York's Auburn State Prison, the world-famous prototype of industrial prison discipline, where he experienced a life-altering Christian conversion. Also known as Jacob Hodges, he became one of the nineteenth century's most famous incarcerated African Americans, appearing in popular crime writing, children's books, reform society reports, and spiritual biographies. Today, however, Hodges is unacknowledged, even among scholars of race and prison studies. My interdisciplinary essay advances both historical and interpretive claims. I reconstruct Hodges's life in the crucible of evangelical Protestantism, racial assimilation, and industrial market capitalism, which worked together, I argue, to shape the ideology of the modern prison system. I also analyze the vivid fantasies about Hodges that circulated in reformist literature. Unlike the majority of captives, whose struggles left only faint traces in the archives, Hodges was neither the object of dehumanizing violence nor the subject of coldly rational surveillance; he was listened to, admired, and treated with sympathy. As a case study in evangelical reformism's sentimental, possessive style of love, the literature about Hodges poses special challenges and opportunities for abolitionist reading.

Effects of Explicit Sponsorship Disclosure on User Engagement in Social Media Influencer Marketing

Social media influencer marketing has grown substantially in the last decade and is a major advertising channel for many brands. Social media influencers weave sponsored posts with organic content into their feeds, which raises concerns among regulators and consumer advocates that users may not be able to clearly distinguish between sponsored and organic influencer content. Thus, regulators often mandate the explicit disclosure of sponsored content. However, there is little empirical evidence based on field data about the effects of explicit sponsorship disclosure. Therefore, we empirically investigate the effects of explicitly disclosing sponsorship in influencers’ content on users’ engagement using a large-scale field dataset collected from Facebook and Instagram. Our empirical results suggest that explicit sponsorship disclosure increases user awareness of the advertising nature and earns users’ favorability by enhancing transparency about the sponsored content. We further designed two online experiments to corroborate our empirical results and directly test the underlying mechanisms. Our findings have novel and important implications for marketers, influencers, social media platforms, and regulators in the influencer marketing industry.

Legal regulation of the state supply of milk, dairy raw materials and dairy products

The paper establishes that in the legal field of Ukraine there are more than 50 legal and regulatory acts that are directly or indirectly related to the regulation of the dairy industry market. The Law of Ukraine "On Milk and Dairy Products" is basic in the field of regulation of the dairy industry. The legislator fixed the interpretation of the main terms of the dairy industry in the relevant legal act - the Law of Ukraine "On Milk and Dairy Products". This act defines what "raw milk", "dairy raw materials", "dairy products", "traditional dairy products" are. Also, the legislator fixed the main institutions of the state policy of ensuring the safety and quality of milk and dairy products. In addition, the act discloses the issue of state support for producers of milk, dairy raw materials and dairy products and the mechanism for its implementation. It should be noted that the Law of Ukraine "On Milk and Dairy Products" regulates the legal and organizational foundations for ensuring the safety and quality of milk and dairy products for life and the health of the population and the environment during their production, transportation, processing, storage and sale, import into the customs territory and export from the customs territory of Ukraine. The study identified the main, in our opinion, regulatory legal acts that regulate the supply of milk, dairy raw materials and dairy products to the state, and also characterized their purpose, main provisions and meaning. It was found that milk and dairy products occupy a significant place in the market of food resources. It is noted that the production of dairy products is an important component of food security. It was found that providing the state with milk is a complex process that includes the following stages: milk production, milk processing, sale of dairy products, state regulation.

A Study on the Make-up Trends using Unstructured Big Data: Focusing on Make-up Keyword Changes in the Last 10 Years

This study utilized Textom, optimized for big data analysis using unstructured data, to examine the changes in makeup trends over the past decade. It collected various texts from news, blogs, and cafe media on portal sites, spanning a total of ten years from January 2013 to December 2022. The research was conducted in five stages, each covering two years, to observe keyword trends. The results showed that makeup trends have continuously evolved through the integration and interaction with various fields such as digital technology, the beauty industry, art, and healthcare. Digital technology has created new forms and methods of makeup, and makeup has contributed to the utilization and development of digital technology. Additionally, the interaction between digital technology and makeup has enhanced their respective values and influenced consumers' makeup-related behaviors and preferences. This study analyzed the changes and developments in makeup trends over the last decade using unstructured big data, examining various factors and relationships related to makeup trends to predict future trends. This has academic and practical significance in product development and marketing in the beauty industry, consumers' access to makeup information and purchasing behavior, and makeup education and culture. However, such data can suffer from sample bias or lack representativeness, and there can be difficulties in accurately measuring makeup trend information. Therefore, future research should select a variety of platforms or channels, and analyze differences and changes in makeup trends according to users' demographic characteristics. Additionally, it is necessary to collect and analyze structured data on makeup trends to integrate with or complement unstructured data.

Изобразительное искусство Китая конца ХХ века: новые имена, концепции, культурные институции

The article analyzes the historical and cultural prerequisites for the development of visual art of the 1990s of the XX century in the People’s Republic of China as different from the traditional national art. The first part of the article gives a preliminary overview of the development of the artistic process in the 1990s for the first time. The artists of the new generation were influenced by the culture of socialist realism. The second part analyzes the reasons for the emergence of the phenomenon of new generation artists in the 1990s, which were formed under the influence of the market system. Market mechanisms stimulated the arrival of new artists and the for-mation of the commercial sector of the art market. The article describes the motives, socio-cultural and mental grounds for the success of new artists in the situation of the creative industries market. It is proved that the driv-ing force of changes in Chinese art culture was the formation of the system of art process facilitation, institu-tionalization and commercialization of exhibition and exposition spaces, (genesis of symbiotic institute of pro-fessional curatorship, art criticism and art dealership), as well as the experience of borrowing and cultural diffu-sion of mainland China with its island partners – Hong Kong, Macau. Around the 1990s, many small or private galleries were gradually established in China. The emergence of curators increased the number of artists of a new generation, outlook and new concepts.

Prevention, Control and Treatment of Tobacco use Addiction: A Literature Review Article

This comprehensive literature review delves into the multifaceted realm of preventing, controlling, and treating tobacco use addiction. Synthesizing a vast array of scholarly works, the study navigates through the complexities of tobacco dependence, shedding light on diverse strategies employed globally. Pharmacological interventions, such as nicotine replacement therapy and emerging medications, are scrutinized alongside non-pharmacological approaches, including health education programs, psychological counseling, and cognitive-behavioral therapy. The review underlines the imperative to comprehend the neurobiology of tobacco addiction, emphasizing its pivotal role in crafting targeted and individualized treatments. By amalgamating evidence-based practices, the study contributes to the advancement of knowledge in the ongoing quest for efficacious prevention and treatment strategies for tobacco use addiction. The review study investigates the role of health institutions and government agencies in collaborating to control tobacco use, highlighting the variation in smoking cessation policies across countries and the legal counteraction of the tobacco industry's aggressive marketing. In detailing the treatment landscape, the review explores both pharmacological and non-pharmacological interventions. Pharmacologically, nicotine replacement therapy, prescription medications, and novel drugs like Varenicline are expounded upon. Non-pharmacological approaches encompass health education programs, psychological counseling, cognitive-behavioral therapy, and psychosocial support, underscoring the importance of counseling as a non-pharmacological intervention. The study concludes by discussing the ongoing trials for nicotine vaccines and cannabinoid CB1 receptor antagonists as promising avenues for future pharmacotherapeutic interventions. Overall, this literature review consolidates diverse insights to provide a holistic understanding of tobacco use addiction and its comprehensive management.

Jakarta’s Generation Z and Local Fashion Industry: Unveiling the Impact of Brand Image, Perceived Quality, and Country of Origin

The local fashion industry in Indonesia faces tough competition with imported brands, driven by shifting consumer preferences, particularly during the pandemic. The research examined the impact of country of origin on purchase intention in the casual fashion industry, with brand image and perceived quality as intervening factors. It involved 412 Indonesian Gen Z in Jakarta as respondents with prior experience in the local casual fashion market. Data were collected through online questionnaires, and the SEM-PLS analysis method with SmartPLS v3.2.9 software was used for analysis. Results show that country of origin significantly influences brand image and perceived quality, affecting purchase intention. The research aligns with prior consumer perceptions studies. The implications offer guidance for casual fashion industry marketers and retailers. Emphasizing a positive country of origin image and focusing on brand image and perceived quality can impact purchase decisions, particularly among Indonesian Gen Z consumers in Jakarta. Future research can also expand the scope to include a broader sample and employ qualitative methods for deeper consumer insights. In conclusion, the research enhances understanding of consumer behavior in the casual fashion industry by revealing the role of country of origin, brand image, and perceived quality in shaping purchase intentions. Businesses can utilize these insights to refine their marketing strategies and better cater to their target consumers’ preferences.

Leadership style and employee performance in China’s fast moving consumer goods industry

The purpose of this study is to investigate the effect of various leadership styles on employee performance in the Fast-Moving Consumer Goods (FMCG) industry in China. The unexpected global spread of the coronavirus pandemic and its complicated issues have created a substantial amount of uncertainty in consumer demand worldwide which has motivated this research and highlighted the crucial role that the FMCG industry's marketing relationship plays in determining enterprise profit. There is a growing concern among enterprise managers, academics and policymakers about employee performance and its overarching impact on the organization. The study is underpinned by social exchange theory and employs a cross-sectional design. An online survey was conducted with 384 employees from the FMCG industry to measure the impact of three independent variables: authentic leadership style, servant leadership style and ethical leadership style. The findings reveal that authentic, servant and ethical leadership all significantly affect employee performance in the Chinese FMCG industry. Among these, ethical leadership is found to have the extreme effect. The implications of this study are of practical relevance to FMCG companies. FMCG companies can potentially navigate through the uncertainty in global consumer demand more effectively by reconfiguring their leadership styles to enhance employee performance. The study provides insights that can be used by FMCG companies to increase employee performance which is directly linked to enterprise profit.

Circuit equation in power superimposition for position sensor using single‐phase transformer on PMSM power lines

AbstractPermanent magnet synchronous motors (PMSM) are very popular in the industrial market. Recently, robots are installed to compensate for the shortage of labor. Due to the increase in motors, the number of power lines and position sensor cable wiring are increased; this increase in complicated wiring is a problem. As a method to solve these problems, power superimposition technology in the power line of a PMSM is expected to reduce the distribution cables. In this paper, the power superposition technology method, and circuit equations of mounting transformers in power lines are presented and are then verified by experiment, simulation, and linear analysis. The circuit equation is proposed as a three‐phase circuit equation, which is transformed into a dq‐circuit equation by a transformation matrix. The characteristics of the electric angular frequency versus the dq‐axis voltage demonstrated satisfactory results, with errors within 1% in linear analysis and simulation. The linear analysis and experiment are shown to be similar, although there are some errors. The validity of the circuit equations could be demonstrated by the verification results.

Role of Bamboo Fabric in Sports Clothing

In the recent era of development, the global market for sportswear textile manufacturing industries has increased in consumption of active sportswear. The performance characteristics of active sportswear directly influence comfort level and athletic performance during sports activities. Different types of sportswear products require different performance characteristics. Appropriate moisture and heat management are the key factors for the endowment of the required physiological comfort level. In highly engineered textile-based sports goods, special characteristics are incorporated in the polymer/fibers/product manufacturing procedures/finishing techniques to obtain the maximum performance and comfort level. The fashion world is constantly seeking new, natural, eco–friendly textile materials. India, after China, is the second richest country in bamboo genetic resources a novel textile material. The bamboo (rayon) fabric was tested for fiber and fabric properties assessing that the sourced fabric was within the minimum expected performance standards. Acceptability and suitability by retailers and sportspersons through another survey was gathered. The use of bamboo knits for sportswear was well accepted showing a high potential for bamboo knitwear in the market. Incorporation of wider color range and surface embellishments will enhance the appearance of sportswear adding more variety.

Sealing capacity evaluation of underground gas storage under intricate geological conditions

Evaluating underground gas storage (UGS) sealing capacity is essential for its safe construction and operational efficiency. This involves evaluating both the static sealing capacity of traps during hydrocarbon accumulation and the dynamic sealing capacity of UGS under intensive gas injection and withdrawal, and alternating loads. This study detailed the methodology developed by Sinopec. The approach merges disciplines like geology, geomechanics, and hydrodynamics, employing both dynamic-static and qualitative-quantitative analyses. Sinopec's evaluation methods, grounded in the in situ stress analysis, include mechanistic studies, laboratory tests, geological surveys, stress analysis, and fluid-solid interactions. Through tests on the static and dynamic sealing capacity of UGS, alongside investigations into sealing mechanisms and the geological and geomechanical properties of cap rocks and faults, A geomechanics - rock damage - seepage mechanics dynamic coupling analysis method has been developed to predict in situ stress variations relative to pore pressure changes during UGS operations and evaluate fault sealing capacity and cap rock integrity, thereby setting the maximum operational pressures. Utilizing this evaluation technique, Sinopec has defined performance metrics and criteria for evaluating the sealing capacity of depleted gas reservoirs, enabling preliminary sealing capacity evaluations at UGS sites. These evaluations have significantly informed the design of UGS construction schemes and the evaluation of fault sealing capacity and cap rock integrity during UGS operations.

Add a seat for another actor in the business network! Consumer communities’ roles for fashion sustainable new ventures

PurposeThis paper aims to integrate the consumption perspective within the Industrial Marketing and Purchasing (IMP) debate. The study delves into how consumer communities can be conceived like other network business actors. The perspective of sustainable new ventures (SNVs) in the fashion industry is adopted, considering their specific connection with consumer communities.Design/methodology/approachAdopting a multiple case study methodology, this paper uses a qualitative approach. Data collection mainly relies on interviews conducted with 10 SNVs in the fashion industry; this sector is a fertile ground for studying sustainability and consumer communities. For data analysis, the abductive approach of systematic combining is applied.FindingsThe paper identifies four distinct types of consumer communities and four roles that they can assume as business actors in the business network. Owing to their engagement in these specific roles, consumer communities become part of the SNVs’ network, akin to other business-to-business players.Originality/valueThis study represents one of the initial endeavors to introduce consumption into the IMP theoretical framework. In this paper’s conceptualization, consumer communities are groups of consumers and collective actors in the business network. Additionally, this study advances the research on sustainability as a network concept by including consumer communities’ roles in business networks.

Inbound Marketing Based On Content And Customer In The Creative Industry Selling Fresh Meat, Seafood And Vegetables In Yogyakarta: An Experimental Approach

Covid-19 had an impact on decreasing GDP in the livestock sector, namely by 1.8%. The strategy to improve this sector is to carry out inbound marketing through the use of websites, blogs and social media. This research applies an inbound marketing method based on content and customers to develop product marketing in the creative industry selling meat, seafood and fresh vegetables in Yogyakarta. The research method used is an experimental research method. There are two groups of respondents in this research, namely respondents from generation The respondents selected were 200 housewives from generation X and generation Y. Data was obtained using a questionnaire. The data analysis used was MANOVA with SPSS 25. The results of the study showed that there was no difference between advertising for the sale of meat, vegetables and seafood or without advertising on purchasing interest in generation X and generation Y.

Industry 4.0 Implementation Drivers in Manufacturing Companies in Algeria: A Structural Analysis via ISM Method

The new industrial era is characterised by an incredible speed of development, in addition to fierce competition, which prompts companies to quickly adopt Industry 4.0 to maintain their position in the future industrial market. This paper aims to identify the main drivers that facilitate the implementation of Industry 4.0 in manufacturing companies in Algeria. The Interpretative Structural Modelling (ISM) method and the Cross-Impact Matrix Multiplication Applied to a Ranking (MICMAC) method were used. The ISM-MICMAC method aims to determine interrelationships and levels of influence between different factors. This allows the identification of the key drivers for the success of Industry 4.0 implementation in manufacturing companies. The results showed that awareness of the concept of Industry 4.0, research and development, support and vision of senior management, and society acceptance of the technology, in addition to cooperation and openness, are the most important drivers that contribute to the success of the implementation of Industry 4.0. Moreover, improving production, maintenance efficiency, and improving mass customisation also play a crucial role in the adoption of Industry 4.0 in manufacturing companies.

Exploring the impact of beauty vloggers’ credible attributes, parasocial interaction, and trust on consumer purchase intention in influencer marketing

The growing usage of digital platforms has made influencer marketing the most cost-effective marketing tool, especially for products consumed by young digital natives. Among other products, these include fashion and beauty-related items such as cosmetics, whose online marketing has created a particular category of influencers called ‘beauty vloggers.’ By applying the source credibility model, this study investigates whether beauty vloggers’ credible attributes (trustworthiness, expertise, and attractiveness) help consumers build trust towards them and whether followers’ trust leads to desirable marketing outcomes (increased purchase intention). Prior literature used the source credibility model in a fragmented manner. However, this study enhances the holistic framework of social media influencers’ impact on purchase intention by investigating all three credible attributes. It specifically addresses the significance of cultivating trust between beauty vloggers and followers, exploring the impact of vloggers’ credible attributes on consumer purchase intention. Additionally, beauty vloggers periodically engage in parasocial interactions to increase closeness with their audiences, affecting consumer behaviour. This study addresses the limited research on the consequences of parasocial interactions in an emerging market context, examining the impact of beauty vloggers’ repeated interactions on consumer behaviour, contributing to a comprehensive understanding of purchase intention using parasocial interaction as an antecedent. The research was conducted on consumers belonging to the age group of 16–45 who use social media platforms daily. Using structural equation modelling via SmartPLS software, the statistical analysis was done on 357 North Indian respondents. The study explores the influence of beauty vloggers on consumers’ purchasing behaviour in the Indian context. The results demonstrate that beauty vloggers’ credibility traits help in influencing consumer behaviour. The findings also revealed that trust partially mediates the impact of credible attributes of beauty vloggers and consumers’ purchase intention. Additionally, the results show that customers’ purchasing decisions might be influenced by repeated parasocial interactions done by beauty vloggers if they perceive them as credible information sources. The findings of the study contribute to help industrial marketers and practitioners of cosmetic companies use influencer marketing strategically in order to increase market sales.

Breastfeeding, first-food systems and corporate power: a case study on the market and political practices of the transnational baby food industry in Brazil.

The exploitative marketing of commercial milk formula (CMF) reduces breastfeeding, and harms child and maternal health globally. Yet forty years after the International Code of Marketing of Breast-Milk Substitutes (The Code) was adopted by WHO member states, many countries are still to fully implement its provisions into national law. Furthermore, despite The Code, worldwide CMF markets have markedly expanded. In this paper, we adopt Brazil as a case study to understand the power of the baby food industry's marketing and corporate political activity, and how this influences the country's 'first-food system' in ways that promote and sustain CMF consumption. We used a case study design, drawing data from from documents and key informant interviews (N = 10). Breastfeeding rates plummeted in Brazil to a historic low in the 1970s. A resurgence in breastfeeding from the mid-1980s onwards reflected strengthening political commitment for a national policy framework and breastfeeding protection law, resulting in-turn, from collective actions by breastfeeding coalitions, advocates, and mothers. Yet more recently, improvements in breastfeeding have plateaued in Brazil, while the industry grew CMF sales in Brazil by 750% between 2006 and 20. As regulations tightened, the industry has more aggressively promoted CMF for older infants and young children, as well as specialised formulas. The baby food industry is empowered through association with powerful industry groups, and employs lobbyists with good access to policymakers. The industry has captured the pediatric profession in Brazil through its long-standing association with the Brazilian Society of Pediatrics. Brazil illustrates how the baby food industry uses marketing and political activity to promote and sustain CMF markets, to the detriment of breastfeeding. Our results demonstrate that this industry requires much greater scrutiny by regulators.

Improvement of Industrial Maintenance Plans through Assistance-Driven Reliability-Centered Maintenance and Case-Based Reasoning Design

The present work builds on studies where the industrial market is currently characterized by a highly variable demand in terms of the quantities and flexibility of manufacturing or mass customization, which translates into a more demanding production context in terms of the continuous changes that are required in the production systems, the effect of which results in an increase in the fatigue of the machines that make up the production systems. However, current production systems tend to use highly communicative and sensorized cyber–physical systems; these characteristics can be used to integrate them into decision-assisted systems to improve the availability of the industrial plant. The developed assisted system focuses on collecting and taking advantage of historical knowledge of industrial plant failures and breakdowns. By ideally integrating the reliability-centered maintenance (RCM) methodology and case-based reasoning (CBR) algorithms implemented in a Java application, it is possible to design maintenance plans that are adjusted to the real and changing operational context of any industrial plant. As a result, faster and more accurate decisions are made, because they are based on data. This article focuses on improving certain aspects of the developed assisted system by adding more value by incorporating fuzzy logic (FL) techniques. The aim is to improve the way of entering information about risk factors and their relative importance by incorporating natural language instead of a numerical score, resulting in increased precision in the calculation of the risk priority number (RPN) of the new cases that are incorporated into the assisted system. On the other hand, an attempt has been made to correct two of the main inherent and recognized weaknesses in the classic RPN calculation method by implementing an appropriate mix of fuzzy logic techniques.