Industrial Organization Research Articles

Revealing the influence of food industry actors in relation to nutritional policies in Belgium

Abstract Unhealthy food is one of the prevailing risk factors of NCDs and cancers, making the food industry a key player in their prevention. However, evidence-based public health policies aimed at reducing consumption of unhealthy food, may threaten industry sales. In response, food industry actors try to influence the development and implementation of these nutritional policies by engaging in corporate political activities (CPA). As part of the Joint Action PreventNCD, the CPA of relevant food industry actors in relation to public health nutritional policies will be assessed. In Belgium, strategies of Fevia, the umbrella organization of the food industry, are examined. This study analyses publicly available information collected from Fevia’s website, social media accounts (i.e. X and LinkedIn), newsletters and newspapers. A thematic qualitative analysis is conducted using established frameworks to categorize both framing and action strategies used by the industry. The categorization of framing strategies reveals how the food industry presents the actors, problems, and solutions. The framework of action strategies categorizes the CPA of the food industry under the following six strategies: information and messaging; financial incentives; constituency building; legal action; policy substitution; opposition fragmentation and destabilization. Preliminary results indicate that the industry often frames itself as ‘the good actor’ and primarily uses strategies such as ‘information and messaging’, ‘constituency building’ and ‘policy substitution’ to influence policies in Belgium in their favor. In the next phase, interviews with stakeholders (e.g. policymakers, politicians,...) will be performed to collect undocumented information. Overall, this research sheds light on the ongoing CPA of the food industry and will increase transparency in their influence on the development and implementation of effective nutritional policies aimed at reducing the burden of NCDs and cancers. Key messages • This study reveals how the umbrella organization of the food industry in Belgium influences public health nutritional policies through various corporate political action and framing strategies. • Identifying these CPA increases awareness of the industry’s influence, but also promotes their transparency and accountability, which is crucial for reliable and effective nutritional policy.

Agricultural activities reduce the risk of requiring long-term care among older Japanese

Abstract Introduction Controlling the risks that lead to requiring long-term care for the older adults is a crucial medical and socio-economic issue. This study investigated the impact of agricultural activities (AAs) on the risk of requiring long-term care. Methods A 5-year follow-up was conducted on 1,009 healthy individuals aged 65-80 years (mean age 72 years; 44% men) living in a rural area (Wakayama, Japan). Requiring long-term care was assessed as requiring support or nursing care (RSNC) according to the Japanese criteria. Health status including frailty and metabolic syndrome were also assessed using Japanese criteria. Work status and lifestyle habits were assessed using self-administered questionnaires. The main outcome was the probability of RSNC. COX proportional hazards regressions were performed, stratified by occupation (agricultural worker or other) or frequency of AAs (none, less than or >150 days/year), adjusted for sex, age, frailty, metabolic syndrome and household as possible confounding factors. Results Approximately 35% of the participants were in agriculture, forestry, and fisheries as occupation, and 78% engaged in AAs. A total of 85 participants RSNC and 39 deaths were observed during the follow-up. The cumulative survival probability did not differ according to occupation or frequency of AAs, whereas the probability of RSNC was significantly lower in participants engaged in AAs (hazard ratio 0.37 [95% CI 0.22, 0.62]; <150 days/year, 0.29 [95% CI 0.17, 0.50]; >150 days/year). Participants engaged in AAs were significantly more likely to engage in low- and vigorous-intensity physical activity, and to participate in industry and community organizations and relating events. Conclusions These findings suggest that AAs may promote a physically and socially active lifestyle, independent of frailty or metabolic syndrome, and reduce the risk of RSNC. Key messages • Prevention of long-term care is important in the older population. • A lifestyle associated with agricultural activities may contribute to healthy aging.

Learning organizations and sustainability outcomes in tourism: the mediating role of sustainable practices

Purpose This study aims to investigate the influence of learning organization characteristics on sustainability outcomes in the tourism sector, with a specific focus on sustainable tourism practices. It seeks to gain insights into how organizations in the tourism industry contribute to sustainability efforts. Design/methodology/approach This research used a survey method to gather data from employees working in five leading Indian tourism companies. The study was designed based on the theoretical frameworks of triple bottom line theory and organizational learning theory, with quantitative analysis conducted using structural equation modeling through Smart PLS 4 software. Findings This study reveals that learning organizations play a crucial role in promoting sustainable practices and yielding positive sustainability outcomes in the tourism sector. The results demonstrated significant positive relationships and mediation effects, highlighting the substantial impact of learning organization characteristics on enhancing sustainability efforts within the industry. Research limitations/implications This study’s findings provide actionable insights for refining organizational strategies and formulating policy recommendations to strengthen sustainability initiatives within the tourism sector. In addition, this research contributes valuable knowledge to the expanding field of sustainable tourism management and best organizational practices. Originality/value This study contributes to the field by offering empirical evidence on the interplay between learning organization characteristics, sustainable tourism practices and sustainability outcomes within the tourism sector. Its focus on addressing sustainability challenges in this industry context provides valuable insights for industry stakeholders and policymakers, guiding them in formulating effective strategies and decisions to enhance sustainability efforts.

Green agricultural technology extension strategies considering industrial organization impacts: Direct subsidy VS indirect incentive

Considering an agricultural production and consumption system composed of the government, enterprise, farmers and consumers, this paper constructs models for green agricultural technologies (GATs) extension based on the contract farming and cooperative, so as to investigate the interaction mechanism between promotion strategies and agricultural industrial organizations (AIOs) as well as its effect on GATs extension. The results show that direct subsidy and indirect incentive both can promote GATs, but the incentive mechanisms of the two promotion strategies are different; under the two AIOs, the optimal promotion strategy to the government is related to the coefficient of indirect incentive cost, and the direct subsidy and indirect incentive both have advantage intervals; given promotion strategies of the government, the combination of direct subsidy and the cooperative can increase the profit of green farmers, while the combination of indirect incentive and the contract farming can increase the amount of green farmers; based on interaction mechanism, the combination of indirect incentive and the contract farming as well as the combination of direct subsidy and the cooperative both can achieve Nash equilibrium from perspectives of the government and enterprise, however, the maximum promotion effect of GATs can be achieved only within its advantage interval. Thus, our research can provide theoretical guidance for governments to make better decisions on promotion strategies, and also is helpful to enterprises to choose optimal AIOs in the process of green transformation of agriculture.

The role of big data analytics in the footwear supply chains: a multiple case study perspective

Purpose This paper aims to analyze the importance of big data analytics (BDA) and supply chain analytics for sustainable supply chain management in all types of enterprises in the footwear industry. The importance and implementation of BDA in supply chain management have been discussed in this research paper, and a conceptual framework is proposed for the implementation. Design/methodology/approach The previous research indicates that the application of BDA and supply chain analytics is the key point to establishing sustainable supply chain management. Even though there are several types of research on the implications of BDA, there is still a gap in practical implications in organizations. For a better understanding, comparison of frameworks has been done for literature support. Further, 11 in-depth, semi-structured interviews have been conducted with four organizations from the footwear industry, and a conceptual framework has been proposed. Findings This research demonstrates an important gap in the literature through a thorough investigation of how firms can improve operational efficiency and productivity through the framework application and whether it is feasible to apply this within the global footwear industry or not. In conclusion, the research has denoted that despite lack of understanding related to sustainability agendas and not having proper ERP or BDA systems, the organizations operating in Pakistan still met some standards of sustainability and are moving toward achieving more. Research limitations/implications The research has pointed out the importance of the integration of all stakeholders in the supply chain through a proposed framework that aligns and guides the stakeholders so that the policies and other constraints may be taken into consideration while revising sustainable supply chain strategies. Practical implications This study will help increase sustainability through the application of BDA technology, which will benefit various stakeholders, particularly those in the footwear industry. Originality/value This study has proposed a framework based on three stages of the implementation of BDA in the existing supply chain to maintain and achieve sustainability in the organization in the footwear industry. This three-stage framework covers many aspects that were not covered in the literature before.

Reducing serious injuries and fatalities in industrial construction-application of machine learning to analyze emotional intelligence and psychosocial factors

Human and organizational factors are recognized as central in incidents; however, there has been little interconnection between individual and organizational psychological variables, such as interpersonal skills. Therefore, this study aims to glean theoretical and empirical insights to reduce severe injuries and fatalities and enhance safety performance. This study classified incidents of an industrial construction organization in Canada based on two attributes of interpersonal skills – emotional intelligence (EI) and psychosocial (PS) factors. A qualitative analysis using NVivo software was employed to classify 1000 incidents from 2018 to 2020 into EI factors. Since PS factors were not observed in the dataset, the analysis was extended to identify PS factors using machine learning techniques as a quantitative approach to analyze 45,603 incidents from 2014 to 2023. The classification was performed using keyword analysis of the incident descriptions. Further, co-occurrence networks were used to investigate patterns and validate the study results. The findings indicate that lack of self-awareness (domain of EI) (56.8%) and improper communication (domain of PS factor) (32.4%) were the most influential causes of incidents substantiated by the co-occurrence networks results. The study’s findings provide insights for decision-makers about the strategies needed to enhance safety performance in the industrial construction industry.

Distribution of Sheep Fattening Practices and Marketing Systems in the Sagnarigu Municipality in Northern Ghana

The study was conducted in the Sagnarigu Municipality in Northern Ghana to assess sheep fattening practices and marketing systems. Eighty respondents were selected and questionnaires administrated to them. Data was summarized and analysed using SPSS version 20. Majority of the fatteners were within the ages 21-30 years. Sheep fatteners were not equally distributed across the different age groups. Most of the farmers had at least primary education while majority (30.0%) of them had tertiary education. The sheep fattening enterprise in the area was male and Muslim dominant activity. Majority of respondents were engaged in specialized skill work as their main occupation with self-financing as the main source of income for the sheep fattening business. Majority had at most 5 years fattening experience. Semi-intensive system of management was mainly practiced. Farmers use wide range of feed stuff alternatively and supplied from multiple sources. Mature animals (≥ 6 months) sourced from farmers’ own flock were mostly used in fattening. Generating cash was the primary motivation for fattening sheep, with a convenient market for the fattened sheep. Customers of fattened sheep were mainly butchers. mostly at local markets (50%). Price determination for the fattened sheep was bargaining. The major constraints of sheep fatteners were diseases and mortality and lack of capital/financial. It was concluded that sheep fattening practices and marketing system was a business in the Sagnarigu municipality, nevertheless, it was not well organized and developed. To create a lucrative sheep fattening industry, government and non-governmental organizations should promote sheep fattening by providing financial and training support for the fatteners and the teaming youth in Ghana to venture into the business. This could contribute to enhancing livelihood of rural resource poor farmers, unemployment and poverty reduction as well as women empowerment in the country.

Life world as a basic concept of the sociology of life

The article reveals new facets of such a recently revived sociological concept as the life world. It briefly describes the history of its emergence in scientific research and its embodiment in real practical activities of people. It reveals also how its individual characteristics and indicators were tested and refined in the process of theoretical and empirical studies. The most successful works describing and analyzing it are discussed, although not all of them used this concept. The author shows what role this concept plays in enriching our understanding of people’s lives in all its combinations. Citing the existing interpretations of the life-world in sociology, the author offers a possible variant of its analysis, when the life-world of a person is considered a) as a citizen, b) as a resident of a certain spatial formation (city, town, village), c) as a member of an industrial organization and finally d) as a participant in relations in the micro-environment, i. e. in the structure of interpersonal relations. In conclusion, the features of the use of the concept of life world in the context of the theoretical concept of the sociology of life are summarized.

Sustainable Development in Regional Socio-Economic Strategies in the Central Chernozem Macro-Region

The concept of sustainable development in modern territorial management is gaining momentum more intensively and dynamically. Socio-economic and environmental aspects are embedded in strategic national and regional documents of a long-term nature. The degree of achievement of the Sustainable Development Goals (SDG) adopted by the UN Agenda is assessed and monitored in various reports of international and industry organizations, which affects the reputational characteristics of countries. The publication presents the results of a review of the achievement of Sustainable Development Goals N 9 (SDG-9): “Industrialization, innovation and infrastructure” (Creation of sustainable infrastructure, promotion of inclusive and sustainable industrialization and innovation) in 5 subjects of the Russian Federation of the Central Chernozem macro-region for the period 2015–2022. Indicators for monitoring the achievement of SDG-9 in the regional context were proposed by the authors when comparing the national set of SDG indicators and statistical indicators characterizing the development of the subjects of the Russian Federation. The main research methods are systematization, content analysis and the method of structural and dynamic assessment. In the course of the study, a unified regional list of SDG-9 indicators was formed; an empirical assessment of this list of indicators was carried out on the materials of 5 subjects of the Central Chernozem macro-region and an overview of the degree of achievement of this goal in the studied regions. The authors conducted a comparative review of the strategies of social and economic development of the subjects of the Central Chernozem macro-region for the existence of principles of sustainable development.

Deep Learning-Based Decision Support System for Automatic Detection and Grading of Surface Corrosion on Galvanized Steel Sheets

Corrosion in the sheets produced leads to significant material losses, including the loss of resources, capital, labor, energy and knowledge. Corrosion control is significant for sheets produced and sent to customers in iron and steel factories. Surface corrosion testing of produced sheets and the accurate detection of corrosion levels are of great importance. The corrosion detection process for sheets in steel factories is performed visually with the naked eye. This is a subjective and time-consuming method. Identifying corrosion damage by visual detection and accurately determining the type and extent of corrosion requires expertise. Wrong decisions at this stage lead to losses during the production phase. Therefore, there is a need for systems that can automate this process and make it human-independent. In this study, a decision support system was designed to automatically detect the level of corrosion in galvanized sheets using convolutional neural networks. The average accuracy of the system is 97.5%, the average precision is 0.98, the average recall is 1 and the average F1 score is 0.99. The results we obtained indicate that a successful system has been developed for the detection and determination of corrosion levels. The high performance of the convolutional neural network models used for corrosion detection supports the practical applicability of the developed system. This system will increase the reliability and efficiency of industrial processes by enabling the accurate and automatic classification of corrosion. This system, which meets a significant need in this area for industrial organizations, reduces production costs and also makes the corrosion detection process more consistent and faster.

The Influencing Factors of Knowledge Hiding Among Employees in the Construction Industry: A Psychological Contract Perspective

This study explores the factors influencing employee knowledge hiding in construction industry organizations. Utilizing quantitative methods, the research examines the impact of demographic factors, including gender, age, educational level, marital status, and duration of service, as well as psychological contract breaches on employee knowledge hiding. An independent samples t-test and multiple comparisons using the least significant difference (LSD) test were conducted to analyze the demographic factors. At the same time, a simple linear regression analysis was employed to assess the relationship between psychological contract breach and knowledge hiding. The results indicate that demographic factors significantly affect employee knowledge hiding, with females, older employees, those with lower educational levels, divorced or widowed individuals, and employees with longer service durations tending to hide knowledge more frequently. Furthermore, psychological contract breach is found to have a strong and positive relationship with employee knowledge hiding, suggesting that employees are more likely to engage in knowledge-hiding behaviors when they perceive a violation of their psychological contract. The findings have important managerial implications, emphasizing the need for tailored strategies to address knowledge hiding among different employee groups and maintaining a strong psychological contract with employees to foster a culture of knowledge sharing and innovation

Exploring barriers to Quality 4.0 implementation: a multivariate analysis

PurposeIndustry 4.0 (I4.0) technologies and practices are changing the way quality is managed in organizations, giving rise to the movement known as “Quality 4.0” (Q4.0). In this context, this study aims to analyze the barriers organizations face when trying to implement Q4.0 and to examine whether there are significant differences according to size, sector, level of excellence and degree of readiness for Q4.0 implementation.Design/methodology/approachThe sample comprises 107 Spanish organizations with some form of European Foundation for Quality Management (EFQM) excellence recognition system. The methodology includes multivariate techniques (factor analysis and mean difference analysis).FindingsThe study has managed to summarize the ten main barriers to the implementation of Q4.0 identified in the literature in three groups: organizational (five barriers), knowledge (two barriers) and technological (three barriers). The main barriers are the high investment in technology required to implement Q4.0 and the need for more training and competence of workers. In addition, SMEs encounter more significant technological barriers when implementing Q4.0 than large companies. However, organizational and knowledge barriers are the same. Organizations in the service sector come across more organizational and knowledge barriers to implementing Q4.0 than industrial organizations; no differences were identified for technological barriers. The higher the EFQM seal of excellence achieved, the lower the knowledge barriers faced, with no differences in organizational and technological barriers. Finally, it is observed that the more prepared organizations are to implement Q4.0, the lower the barriers they face.Research limitations/implicationsThe study helps managers identify the barriers they may encounter when implementing Q4.0, which helps design short- and long-term plans to mitigate or break down these barriers.Originality/valueThe study provides empirical evidence on an organization’s barriers to implementing Q4.0. On the other hand, the barriers are related to some of the relevant characteristics that define the organizations, such as their size, the sector of activity, their level of excellence and their degree of preparation for implementing Q4.0.

Разработка подхода к интегрированному планированию в цепочках поставок приборостроительной отрасли

Purpose: the article proposes an approach to integrated planning in supply chains of the instrument-making industry, aimed at improving the efficiency of coordination between their main participants. Methods: the study used methods of system analysis, statistical analysis and expert assessments, which made it possible to evaluate current approaches to planning and propose an approach to integrated planning based on modern digital technologies used in the performance of the planning function. To obtain the results of the study, official statistical data on the productivity and economic indicators of the instrument-making industry, data on logistics operations and supply chains of various enterprises in the industry were used. Results: the main scientific result is the approach to the development of integrated planning in supply chains developed by the author. The study also provided practical recommendations on the use of management methods at different stages of the formation of an integrated planning system. Practical significance: the practical significance of the study lies in the possibility of applying the proposed recommendations at enterprises of the instrument-making industry to improve the efficiency of supply chain management. The implementation of the developed methods will allow enterprises to adapt to dynamic market conditions, reduce costs and improve coordination of the actions of private logistics chain participants. The results of the study can be used to develop and improve planning systems in organizations in the instrument-making industry.

The Software Artifacts as Knowledge Products: A Systematic Review

Software industry organizations use different knowledge that can be consolidated, as in the case of a software artifact. A software artifact represents all organizational knowledge, as well as a knowledge product, once it has the same purpose as a software artifact in those organizations. However, these organizations face difficulties to update both software artifact and knowledge products continuously. So, this article aims to identify and understand the state of the art of adaptable software artifacts as knowledge products within software industry organizations. Therefore, we carried out a systematic literature review using searches in scientific digital databases. Our results point out 51 articles grouped into six categories according to their respective goals: explicit knowledge, in the most diverse forms; overview of the software industry; knowledge products; adaptive software artifacts; explicit knowledge within organizations of the software industry; and knowledge products in organizations of the software industry. Thus, these categories sought to group related issues; however, none of them presented a clear relationship on adaptive software artifacts as knowledge products within software industry organizations. However, the main finding of this research concerns the support of adaptable software artifacts backing the registration, storage and updating of organizational knowledge. That occurs since such organizations are inserted in the context of several technological changes, in which such adaptable software artifacts would be a support to keep the knowledge available and updated.

Implementation of a performance management system for environmental sustainability in an industrial organization

Abstract The paper explores the implementation of process performance management systems in the automotive industry, specifically focusing on improving the assembly line of an organization within this sector thanks to the introduction of cobots in the line of manufacturing electronic modules used in car seat control systems. With an emphasis on environmental sustainability and circular economy (CE) concepts, the study investigates the positive effects of optimizing mechanical and electromechanical systems within the assembly line. Leveraging concepts such as KAIZEN and Gemba Kaizen, along with the guiding principles of Just-In-Time (JIT), Continuous Improvement and Automation with a Human Touch (JIDOKA), the research aims to elucidate the potential benefits of such enhancements. Key performance indicators (KPIs) including Overall Equipment Effectiveness (OEE), First Pass Yield (FPY), and scrap rates were considered. Rejects, primarily stemming from human error in part handling, emerged as the major challenge facing this assembly line. To address this issue, collaborative robots were introduced to automate part handling, replacing manual processes with precise and reliable automation. Before the implementation, the cycle time stood at 13.6 units, which was reduced to 12.5 units post-implementation, resulting in a significant increase in productivity equating to 3000 more parts produced per week. OEE increasing from 80% to 87.74%, FPY rising from 96.42% to 98.48%, and the scrap rate decreasing from 0.06% to 0.02%. By addressing inefficiencies at the assembly line level, organizations can achieve significant improvements in performance metrics while concurrently contributing to a greener and more sustainable future.

Person-Centered Care Planning for People Living With or at Risk for Multiple Chronic Conditions

The US has a growing population of people living with multiple chronic conditions (MCC), yet the health system is ill designed to meet their needs. Person-centered care planning (PCCP) is an approach to provide comprehensive care that is responsive to the individual to improve health outcomes and increase value. To examine strategies used to provide PCCP for people living with or at risk for MCC, as well as facilitators and barriers to implementation. This qualitative study uses thematic analysis of responses from a Request for Information (RFI) published in the Federal Register soliciting input on PCCP, posted by the Agency for Healthcare Research and Quality (AHRQ) in 2022. The RFI was available for public comment from September 16, 2022, to November 15, 2022. Responses were analyzed between January 2023 and February 2024. Respondents were individuals and organizations who identify as, provide care for, or seek to improve care for individuals living with or at risk for MCC. Some responses represent multiple individuals. Qualitative themes and subthemes of the RFI responses, developed using thematic analysis through inductive and deductive coding of the open-text responses. There were a total of 58 respondents, including clinicians, researchers, patients, caregivers, and representatives from health care payer, practitioner, health system, advocacy, professional, and supporting nonprofit and industry organizations. Researchers identified 9 themes: (1) suboptimal quality of care; (2) person-centered, goal-concordant care; (3) multidisciplinary team-based care and care coordination; (4) prevention across the life course; (5) digital health solutions; (6) workflow; (7) education and self-management support; (8) payment; and (9) achieving community, health system, and payer goals. In this qualitative study of PCCP for people living with or at risk for MCC, challenges to widescale adoption of PCCP were identified along with strategies to address these challenges, including the alignment of payment, policy support, culture change, adoption of meaningful measures, and the need for evidence on strategies to scale and spread PCCP. Insights gained from this analysis can inform research priorities and implementation efforts to advance PCCP as an integral component of routine care.

Resisting organisational change? Psychological resilience and perceived organisational support as mediators in promoting psychological well-being and organisational citizenship behaviours

The increasing prevalence of global transformations has led to a surge in organisational changes worldwide. Consequently, the anticipation of employee resistance and its impact on organisational development has become a vital concern in the field of organisational psychology. This study aims to comprehensively explore employee resistance to organisational change within the energy industry, considering several critical factors, including psychological well-being, organisational citizenship behaviour, organisational support, and psychological resilience. A total of 313 employees from an organisation in the energy industry in Malaysia. Participants completed measures on attitude towards organisational change, psychological well-being, organisational citizenship behaviour, perceived organisational support, and psychological resilience. The results from our study showed significant relationships between employee resistance to organisational change, psychological well-being, and organisational citizenshipbehaviour. The findings also indicated significant mediating effect of perceived organisational support in the relationship between organisational change and psychological well-being. Further, the results also showed that psychological resilience was a significant mediator between organisational change, psychological well-being, and organisational citizenship behaviour. The implications from the study include increase in transparency in organisation, leaders as change agent, and brief coaching for employees to increase organisational resilience.

Creating scalable health equity and quality improvement frameworks: Evaluating the impact of a cancer screening awareness campaign for reducing disparities in Black and Hispanic women.

75 Background: Cancer disparities persist for Black and Hispanic women. Quantifiable learnings from early detection efforts may help inform future health equity initiatives and improve patient outcomes. This study describes survey results measuring the effectiveness of Love Letters for Cancer Screening for Women of Color, an awareness campaign using representative artwork and letters created “for the community, by the community,” within a quality improvement framework. Methods: Genentech and IQVIA deployed a survey at community health events hosted by partner organizations Weill Cornell Medicine and the American Cancer Society. The survey (fielded in English and Spanish) evaluated the impact of this health equity campaign on perceptions of cultural representation, cancer screening awareness, and motivation to act. In-person responses were compared with responses from an online control group in the broader NY metro area. Participants gave informed consent, and modest compensation was provided upon survey completion. This study was not powered for statistical significance. Results: Responses from 317 participants (117 in person; 200 online) showed that this campaign successfully resonated with target demographics of Black and Hispanic women both in person and online, demonstrating the positive impact of this community-based campaign. The campaign was effective at motivating Black and Hispanic respondents to act, with 74% reporting they would schedule a cancer screening, and 75% reporting they would talk to friends or family. Among respondents with self-reported low health literacy, 85% reported feeling more knowledgeable. Overall, in-person engagement was more meaningful than online engagement, highlighting the importance of partnering with community organizations for live events. Conclusions: Partnerships across patient, community, industry,and provider organizations are key to advancing cancer health equity and overcoming health disparities in historically marginalized, underserved populations. These survey results support cocreation and co-implementation of culturally tailored awareness campaigns with measurement frameworks to achieve quality improvement and health equity goals. Respondents who “agreed” or “completely agreed”. The campaign respects/reflects my culture and community Felt inspired to act around cancer screening for myself/my loved ones Will share information and/or materials about campaign with others Will talk to family and/or friends about cancer screenings Will speak to my HCP about cancer screenings Will schedule a cancer screening appointment for myself Black In-person (n=64) 75% 89% 77% 80% 77% 75% Online (n=20) 65% 75% 50% 70% 60% 60% Hispanic In-person (n=28) 82% 86% 79% 82% 75% 82% Online (n=20) 70% 70% 60% 70% 60% 65%

A theoretical framework to companies value creation through a systematic review of intangibles’ management

The purpose of this article is to develop a theoretical framework that identifies the intangible aspects that can be managed and contribute to the value creation for organizations. The theoretical framework was developed based on a systematic review performed according to a protocol that proposes steps to identify the intangible aspects present in the scientific literature. Mendeley software assisted in organizing and reading the 3152 articles identified by the systematic review. The results of the article propose a classification of intangible aspects identified in levels that collaborate with the value creation in organizations. The first and main group being called FPVs, encompassing: reputation, innovation, performance, legitimacy, and knowledge. Strategically, the FPVs are subdivided into 15 CSFs, that cover the other 35 intangibles perceived in the studies, called Indicators and that can be managed. The results of the article provide theoretical and managerial implications and can be used by the academic community and by managers of industrial organizations. The results present reflections on how intangible aspects are present in research and the management of organizations. Furthermore, the literature review proves the importance of analyzing and monitoring intangible aspects nowadays.

THE INFLUENCE OF DATA SAMPLING ON SOLVING THE PROBLEM OF PATTERN RECOGNITION FOR DIAGNOSTICS OF INDUSTRIAL EQUIPMENT

With the sophisticated technology that modern industrial organizations are equipped with, state prediction and diagnostics are essential duties. The current research aims to develop a more accurate modified artificial intelligence system for industrial equipment diagnostics in the oil and gas industry. Researching faulty signals and processing methods utilized by equipment in the oil and gas industry, as well as assessing the advantages and disadvantages of different signal extraction strategies, are the first steps in the process. The second is the application of artificial intelligence to decision-making and equipment defect detection. This method widely used by the oil and gas sectors to lower equipment failure rates. The recommended diagnostic system helps organizations reduce the financial risks associated with equipment defects by increasing production dependability, enabling for maintenance planning, predicting probable failures, and expediting equipment repairs. The article is devoted to the study of the data sampling influence on the classifier’s predictive ability in diagnosing of the industrial equipment. Various types of data samples were considered, such as: simple random sample, cluster sample, systematic sample. According to the results of listed data samples were built classifiers based on particle swarm optimization and ensemble models (bagging and voting type). The best results were achieved using the systematic sampled dataset and an ensemble modeling strategy with voting, which combines forecasting based on a neural net, gradient boosted trees and naive Bayes models: accuracy 93.6%; classification error 8%; recall 94.32%; precision 93.87%. The resulting best strategy for diagnosing equipment based on data sampling and an ensemble model was used for implementation in FMEA (Failure Mode and Effects Analysis) technology in order to obtain an improved version, which is adapted for working with big data.