Tiago L. Vieira, Ângela Silva, Jorge Esparteiro Garcia, W. Alves
Abstract Background: Regional Development (RD) allows countries to balance regional differences by providing economic and social benefits to communities. This research highlights the importance of logistics activities to regional social development, and a framework to assess these connections is proposed. Objectives: How to boost regional socioeconomic development through logistics. Methods/Approach: The contributions of logistics to socioeconomic development are analysed based on the previous research, and the case of the Alto Minho (AM) region in Portugal was used to illustrate the connection between logistics and regional development. Results showed that logistics had created jobs, increased company turnover and exports, and increased GDP growth in several regions. For the AM region, results indicate that many companies are operating in this area, contributing to supporting municipalities to reduce regional disparities. Conclusions: A framework for assessing regional logistics performance is proposed together with several logistics performance indicators. This approach is essential for future developments integrating logistics into socioeconomic development.
{"title":"Boosting Regional Socioeconomic Development through Logistics Activities: A Conceptual Model","authors":"Tiago L. Vieira, Ângela Silva, Jorge Esparteiro Garcia, W. Alves","doi":"10.2478/bsrj-2022-0025","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0025","url":null,"abstract":"Abstract Background: Regional Development (RD) allows countries to balance regional differences by providing economic and social benefits to communities. This research highlights the importance of logistics activities to regional social development, and a framework to assess these connections is proposed. Objectives: How to boost regional socioeconomic development through logistics. Methods/Approach: The contributions of logistics to socioeconomic development are analysed based on the previous research, and the case of the Alto Minho (AM) region in Portugal was used to illustrate the connection between logistics and regional development. Results showed that logistics had created jobs, increased company turnover and exports, and increased GDP growth in several regions. For the AM region, results indicate that many companies are operating in this area, contributing to supporting municipalities to reduce regional disparities. Conclusions: A framework for assessing regional logistics performance is proposed together with several logistics performance indicators. This approach is essential for future developments integrating logistics into socioeconomic development.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77965498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: This paper presents a machine learning approach to forecast Croatia’s international bilateral trade. Objectives: The goal of this paper is to evaluate the performance of machine learning algorithms in predicting international bilateral trade flows related to imports and exports in the case of Croatia. Methods/Approach: The dataset on Croatian bilateral trade with over 180 countries worldwide from 2001 to 2019 is assembled using main variables from the gravity trade model. To forecast values of Croatian bilateral exports and imports for a horizon of one year (the year 2020), machine learning algorithms (Gaussian processes, Linear regression, and Multilayer perceptron) have been used. Each forecasting algorithm is evaluated by calculating mean absolute percentage errors (MAPE). Results: It was found that machine learning algorithms have a very good predicting ability in forecasting Croatian bilateral trade, with neural network Multilayer perceptron having the best performance among the other machine learning algorithms. Conclusions Main findings from this paper can be important for economic policymakers and other subjects in this field of research. Timely information about the changes in trends and projections of future trade flows can significantly affect decision-making related to international bilateral trade flows.
{"title":"A Machine Learning Approach to Forecast International Trade: The Case of Croatia","authors":"Hrvoje Jošić, Berislav Žmuk","doi":"10.2478/bsrj-2022-0030","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0030","url":null,"abstract":"Abstract Background: This paper presents a machine learning approach to forecast Croatia’s international bilateral trade. Objectives: The goal of this paper is to evaluate the performance of machine learning algorithms in predicting international bilateral trade flows related to imports and exports in the case of Croatia. Methods/Approach: The dataset on Croatian bilateral trade with over 180 countries worldwide from 2001 to 2019 is assembled using main variables from the gravity trade model. To forecast values of Croatian bilateral exports and imports for a horizon of one year (the year 2020), machine learning algorithms (Gaussian processes, Linear regression, and Multilayer perceptron) have been used. Each forecasting algorithm is evaluated by calculating mean absolute percentage errors (MAPE). Results: It was found that machine learning algorithms have a very good predicting ability in forecasting Croatian bilateral trade, with neural network Multilayer perceptron having the best performance among the other machine learning algorithms. Conclusions Main findings from this paper can be important for economic policymakers and other subjects in this field of research. Timely information about the changes in trends and projections of future trade flows can significantly affect decision-making related to international bilateral trade flows.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76658751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joana Nascimento, Nuno M. Frazão, Senhorinha F. C. F. Teixeira, Ana Cecília Ribeiro
Abstract Background: This paper focuses on activities related to Customer Orders Management withing an auto components plant in the Automotive Industry. The main challenge was highlighted: customers don’t always regard the flexibility rules agreed with the company. Hence, planners must decide if variation in ordered quantity can be accepted in the forecast period or if adjusting is necessary. Objectives: The purpose was not only to streamline the decision-making process in the planning team but also to provide essential tools for the execution of their daily tasks – a visual and interactive dashboard to assess whether variations in customer orders were within the limits agreed with the company. Methods/Approach: Following Lean information management and business intelligence principles, a thorough process analysis was carried out, centralized and standardized reports were created that served as databases, and the dashboard was developed. Results: The proposed tool allowed reductions from 3,5h per week, spent mainly on collecting data, calculating variations, and selecting and adjusting the flexibility limits, to 0,2h a day per planner. Conclusions: Besides streamlining planners’ daily activities, main contributions regard the promotion of digital transformation, data-driven decision-making, and an automated record of customer order variations that could easily be adapted to suppliers.
{"title":"Dashboard for the Management and Acceptance of Customer Orders","authors":"Joana Nascimento, Nuno M. Frazão, Senhorinha F. C. F. Teixeira, Ana Cecília Ribeiro","doi":"10.2478/bsrj-2022-0028","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0028","url":null,"abstract":"Abstract Background: This paper focuses on activities related to Customer Orders Management withing an auto components plant in the Automotive Industry. The main challenge was highlighted: customers don’t always regard the flexibility rules agreed with the company. Hence, planners must decide if variation in ordered quantity can be accepted in the forecast period or if adjusting is necessary. Objectives: The purpose was not only to streamline the decision-making process in the planning team but also to provide essential tools for the execution of their daily tasks – a visual and interactive dashboard to assess whether variations in customer orders were within the limits agreed with the company. Methods/Approach: Following Lean information management and business intelligence principles, a thorough process analysis was carried out, centralized and standardized reports were created that served as databases, and the dashboard was developed. Results: The proposed tool allowed reductions from 3,5h per week, spent mainly on collecting data, calculating variations, and selecting and adjusting the flexibility limits, to 0,2h a day per planner. Conclusions: Besides streamlining planners’ daily activities, main contributions regard the promotion of digital transformation, data-driven decision-making, and an automated record of customer order variations that could easily be adapted to suppliers.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79923605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: Circular Economy has been considered one of the most powerful principles of modern society. The concerns about increasing resource consumption have forced governments and companies to look at the circular models as a hedge against resource scarcity and an engine for innovation and growth. Objectives: This research aims to bring together the Circular Economy and the consumer’s perspective to perceive the impact of its choices on CE initiatives. Methods/Approach: A survey was conducted considering the consumer’s engagement with the circular economy concepts. Results: The results pointed out the awareness and willingness of consumers for the transition from the linear to the circular production model, providing an added value to consumers for reducing environmental impacts. Conclusions: Consumers’ behaviour can have a forefront role in building a guide with best practices to be considered by companies, designers, and consumers on implementing initiatives in the field of Circular Economy.
{"title":"Circular Economy and Consumer’s Engagement: An Exploratory Study on Higher Education","authors":"W. Alves, Ângela Silva, Helena Rodrigues","doi":"10.2478/bsrj-2022-0026","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0026","url":null,"abstract":"Abstract Background: Circular Economy has been considered one of the most powerful principles of modern society. The concerns about increasing resource consumption have forced governments and companies to look at the circular models as a hedge against resource scarcity and an engine for innovation and growth. Objectives: This research aims to bring together the Circular Economy and the consumer’s perspective to perceive the impact of its choices on CE initiatives. Methods/Approach: A survey was conducted considering the consumer’s engagement with the circular economy concepts. Results: The results pointed out the awareness and willingness of consumers for the transition from the linear to the circular production model, providing an added value to consumers for reducing environmental impacts. Conclusions: Consumers’ behaviour can have a forefront role in building a guide with best practices to be considered by companies, designers, and consumers on implementing initiatives in the field of Circular Economy.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85407349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eduardo Pintado, Lia Coelho de Oliveira, Jorge Esparteiro Garcia
Abstract Background: E-commerce has emerged as a good response to the pandemic of COVID-19. However, the costs of providing a service, which includes a driver and a vehicle, in a regular vehicle that can transport goods that need positive cold (0° to 5°C) are very high. Objectives: This paper aims to investigate how a big Portuguese retailer company can reduce its dependence on refrigerated vehicles, simplifying operations and reducing the costs of transporting positive and negative cold food. Methods/Approach: This research was carried out in a food retailer Portuguese company, more precisely in a Dark Store dedicated to the online channel. The study was developed based on the AS-IS/TO-BE process analysis methodology, starting with the analysis of the current situation, giving rise to the so-called AS-IS model. Results: It was possible to reduce costs associated with transporting positive cold goods. As a result, there are 30% fewer costs associated with order transportation. With an additional 10% in space optimization with the gain of space within the galley of each vehicle. Conclusions: The costs of transporting positive and negative cold foods were decreased, and substituting vehicles with room temperature transport reduced the need for refrigerated vehicles.
背景:电子商务作为应对新冠肺炎疫情的一种良好方式应运而生。然而，提供一项服务(包括司机和车辆)的成本非常高，因为普通车辆可以运输需要正冷(0°C至5°C)的货物。目的:本文旨在调查一家大型葡萄牙零售商公司如何减少对冷藏车的依赖，简化操作，降低运输正负冷食品的成本。方法/途径:本研究是在一家葡萄牙食品零售商公司进行的，更准确地说，是在一家致力于在线渠道的暗店。本研究基于AS-IS/ be - to - be流程分析方法，从现状分析开始，产生所谓的AS-IS模型。结果:有可能降低与运输阳性冷货物相关的成本。因此，与订单运输相关的成本减少了30%。在每辆车的厨房内增加10%的空间优化。结论:正冷和负冷食品的运输成本降低，以室温运输替代车辆减少了对冷藏车辆的需求。
{"title":"Using EPP Boxes in a Dark Store: A New Approach to Simplify Food Retail E-Commerce Deliveries","authors":"Eduardo Pintado, Lia Coelho de Oliveira, Jorge Esparteiro Garcia","doi":"10.2478/bsrj-2022-0029","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0029","url":null,"abstract":"Abstract Background: E-commerce has emerged as a good response to the pandemic of COVID-19. However, the costs of providing a service, which includes a driver and a vehicle, in a regular vehicle that can transport goods that need positive cold (0° to 5°C) are very high. Objectives: This paper aims to investigate how a big Portuguese retailer company can reduce its dependence on refrigerated vehicles, simplifying operations and reducing the costs of transporting positive and negative cold food. Methods/Approach: This research was carried out in a food retailer Portuguese company, more precisely in a Dark Store dedicated to the online channel. The study was developed based on the AS-IS/TO-BE process analysis methodology, starting with the analysis of the current situation, giving rise to the so-called AS-IS model. Results: It was possible to reduce costs associated with transporting positive cold goods. As a result, there are 30% fewer costs associated with order transportation. With an additional 10% in space optimization with the gain of space within the galley of each vehicle. Conclusions: The costs of transporting positive and negative cold foods were decreased, and substituting vehicles with room temperature transport reduced the need for refrigerated vehicles.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89260575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This special issue of Business Systems Research (SI of the BSR) is being co-published by the Slovenian Society INFORMATIKA – Section for Operational Research (SSI -SOR). It focuses on recent advances in Operations Research and Management Science (OR / MS), with a particular emphasis on linking OR / MS with other areas of quantitative and qualitative methods in the context of a multidisciplinary framework. The ten papers that were chosen for this Special Issue of the BSR present advancements and new techniques (methodology) in the field of Operations Research (OR), as well as their application in a variety of fields, including risk management, mathematical programming, game theory, gravity, spatial analysis, logistics, circular economy, continuous improvement, sustainability, e-commerce, forecasting, Gaussian processes, linear regression, multi-layer perceptron, and machine learning.
{"title":"Editorial for the Special Issue: “Novel Solutions and Novel Approaches in Operational Research”: co-published with the Slovenian Society INFORMATIKA – Section for Operational Research (SSI-SOR)","authors":"S. Drobne, L. Stirn, Berislav Žmuk","doi":"10.2478/bsrj-2022-0020","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0020","url":null,"abstract":"Abstract This special issue of Business Systems Research (SI of the BSR) is being co-published by the Slovenian Society INFORMATIKA – Section for Operational Research (SSI -SOR). It focuses on recent advances in Operations Research and Management Science (OR / MS), with a particular emphasis on linking OR / MS with other areas of quantitative and qualitative methods in the context of a multidisciplinary framework. The ten papers that were chosen for this Special Issue of the BSR present advancements and new techniques (methodology) in the field of Operations Research (OR), as well as their application in a variety of fields, including risk management, mathematical programming, game theory, gravity, spatial analysis, logistics, circular economy, continuous improvement, sustainability, e-commerce, forecasting, Gaussian processes, linear regression, multi-layer perceptron, and machine learning.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81825243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: Recent scientific research explains corporate social responsibility as an economic activity. This paper interprets social responsibility as a means of power to increase firms’ market share in a duopoly. Objectives: This paper analyses the duopoly model in which firms decide on optimal social investments and production in two phases. The basic research question is how the significance of the conflict affects social investments, market shares, production quantities, profits, and social welfare. Methods / Approach: Conflict technology is described by contest success functions determining market shares. Game theory, optimization, and comparative statics are used in the analysis. Results: The conditions of equilibrium existence and its characteristics are described. Conflict adversely affects the profit of the inefficient firm while it favourably affects social welfare. Conflict’s impact on an efficient firm’s profit depends on the marginal cost difference. Conclusions: If there is no significant cost difference, it is more favourable for firms not to invest in socially responsible activities by agreement, which hurts social welfare. When marginal cost difference is significant, corporate social responsibility increases an efficient firm’s profit, positively impacting social welfare.
{"title":"Conflict and Corporate Social Responsibility in Duopoly","authors":"Ilko Vrankic","doi":"10.2478/bsrj-2022-0023","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0023","url":null,"abstract":"Abstract Background: Recent scientific research explains corporate social responsibility as an economic activity. This paper interprets social responsibility as a means of power to increase firms’ market share in a duopoly. Objectives: This paper analyses the duopoly model in which firms decide on optimal social investments and production in two phases. The basic research question is how the significance of the conflict affects social investments, market shares, production quantities, profits, and social welfare. Methods / Approach: Conflict technology is described by contest success functions determining market shares. Game theory, optimization, and comparative statics are used in the analysis. Results: The conditions of equilibrium existence and its characteristics are described. Conflict adversely affects the profit of the inefficient firm while it favourably affects social welfare. Conflict’s impact on an efficient firm’s profit depends on the marginal cost difference. Conclusions: If there is no significant cost difference, it is more favourable for firms not to invest in socially responsible activities by agreement, which hurts social welfare. When marginal cost difference is significant, corporate social responsibility increases an efficient firm’s profit, positively impacting social welfare.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86580853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: In making investment decisions, asset risk and return are two crucial criteria on which investors base their decision. Objectives: This paper provides risk and return analysis and compares different traditional and alternative investments with special emphasis on the COVID-19 crisis. Assets included in the analysis are stocks, bonds, commodities, real estate, foreign exchange, cryptocurrencies, renewable energy sources, gold, and oil. Methods/Approach: The risk measures of standard deviation, Value at Risk (VaR), Conditional Value at Risk (CVaR), and Sharpe ratio are used to compare the representatives of each asset class. Results: The crisis had the highest impact on the risk of crude oil, renewable energy sources, real estate, and stocks, a slightly lower impact on the risk of commodities and gold, and a very low impact on the risk of bonds, foreign exchange, and cryptocurrencies. The order of assets regarding earning potential during the crisis, compared to the period before the crisis, changed significantly for commodities in a positive way and for gold and bonds in a negative way. Conclusions: This research shows that stocks won against all other assets, including gold and cryptocurrencies, during the COVID-19 crisis. The good features of a new alternative investment – renewable energy sources – with excellent earning potential are shown.
{"title":"The Risk and Return of Traditional and Alternative Investments Under the Impact of COVID-19","authors":"Zdravka Aljinović, B. Marasović, T. Milićević","doi":"10.2478/bsrj-2022-0021","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0021","url":null,"abstract":"Abstract Background: In making investment decisions, asset risk and return are two crucial criteria on which investors base their decision. Objectives: This paper provides risk and return analysis and compares different traditional and alternative investments with special emphasis on the COVID-19 crisis. Assets included in the analysis are stocks, bonds, commodities, real estate, foreign exchange, cryptocurrencies, renewable energy sources, gold, and oil. Methods/Approach: The risk measures of standard deviation, Value at Risk (VaR), Conditional Value at Risk (CVaR), and Sharpe ratio are used to compare the representatives of each asset class. Results: The crisis had the highest impact on the risk of crude oil, renewable energy sources, real estate, and stocks, a slightly lower impact on the risk of commodities and gold, and a very low impact on the risk of bonds, foreign exchange, and cryptocurrencies. The order of assets regarding earning potential during the crisis, compared to the period before the crisis, changed significantly for commodities in a positive way and for gold and bonds in a negative way. Conclusions: This research shows that stocks won against all other assets, including gold and cryptocurrencies, during the COVID-19 crisis. The good features of a new alternative investment – renewable energy sources – with excellent earning potential are shown.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77272417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: People with visual impairment or blindness (PWVIB) face many barriers related to employment. Although literature explores employers’ concerns regarding the employment of PWVIB, stating the concern and developing a solution are different. Objectives: Employers’ solutions to concerns regarding hiring PWVIB have not been surveyed. This study addresses the gap by surveying employers to determine practical solutions and developing the Solutions for Improving Employment of People with Visual Disabilities (SIEPVD) model. Methods: We employed a mixed-method design based on the 975 completed surveys from employers with hiring authority. We also identified and tagged major themes and developed an empirical model. Structural Equation Modelling (SEM) was employed to test the model’s goodness of fit. Results: Findings highlight the need for evidence of job capabilities such as financial incentives, information provision, and adequate job vacancies. Evidence or financial incentives directly and positively affect employers’ attitudes toward hiring PWVIB. Financial incentives also mediate information provision and job match with employers’ attitudes toward hiring PWVIB. Conclusions: This is the first study to perform employers’ integration by creating solutions to increase PWVIB’s employment rate. Results may help PWVIB in its employment efforts. Thus, the approach when applying for jobs or attending interviews should be reviewed. Practical contributions are discussed.
{"title":"Employers’ Revelation of Decision-making Keys for Employing People with Visual Impairment: Mixed-method Analysis of Employers’ Motivations","authors":"Eyal Eckhaus","doi":"10.2478/bsrj-2022-0007","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0007","url":null,"abstract":"Abstract Background: People with visual impairment or blindness (PWVIB) face many barriers related to employment. Although literature explores employers’ concerns regarding the employment of PWVIB, stating the concern and developing a solution are different. Objectives: Employers’ solutions to concerns regarding hiring PWVIB have not been surveyed. This study addresses the gap by surveying employers to determine practical solutions and developing the Solutions for Improving Employment of People with Visual Disabilities (SIEPVD) model. Methods: We employed a mixed-method design based on the 975 completed surveys from employers with hiring authority. We also identified and tagged major themes and developed an empirical model. Structural Equation Modelling (SEM) was employed to test the model’s goodness of fit. Results: Findings highlight the need for evidence of job capabilities such as financial incentives, information provision, and adequate job vacancies. Evidence or financial incentives directly and positively affect employers’ attitudes toward hiring PWVIB. Financial incentives also mediate information provision and job match with employers’ attitudes toward hiring PWVIB. Conclusions: This is the first study to perform employers’ integration by creating solutions to increase PWVIB’s employment rate. Results may help PWVIB in its employment efforts. Thus, the approach when applying for jobs or attending interviews should be reviewed. Practical contributions are discussed.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91013952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Background: Innovation policy supports innovation in companies, as it is crucial for economic, social and environmental development. Objectives: The research aims to verify whether companies that have received public support for innovation are experiencing turnover growth. Methods/Approach: The research is carried out on the example of the Czech Innovation Programme, and the analysis included 276 projects in the manufacturing industry. The study compares the turnover of enterprises one year before receiving the aid and two years after the granting. The analysis is performed regarding the size of companies, industries and regions. Results: When the companies are assessed at the median level, the largest turnover growth was found in the category of small enterprises. Regarding industry, the largest increase was recorded in NACE sections 22, 27, 26, 29 and 30. The lowest increase in turnover was recorded for enterprises in sections 21, 23, 24 and 28. Differences in turnover growth were also observed across regions. Conclusions: Providing support for innovation contributes to the growth of turnover. A larger share of public aid should be allocated to the category of small and medium-sized enterprises and knowledge-intensive industries.
{"title":"Public Support for Innovation: Changes in Turnover of Granted Companies","authors":"Viktorie Klímová, Vladimír Žítek, Tereza Lelková","doi":"10.2478/bsrj-2022-0008","DOIUrl":"https://doi.org/10.2478/bsrj-2022-0008","url":null,"abstract":"Abstract Background: Innovation policy supports innovation in companies, as it is crucial for economic, social and environmental development. Objectives: The research aims to verify whether companies that have received public support for innovation are experiencing turnover growth. Methods/Approach: The research is carried out on the example of the Czech Innovation Programme, and the analysis included 276 projects in the manufacturing industry. The study compares the turnover of enterprises one year before receiving the aid and two years after the granting. The analysis is performed regarding the size of companies, industries and regions. Results: When the companies are assessed at the median level, the largest turnover growth was found in the category of small enterprises. Regarding industry, the largest increase was recorded in NACE sections 22, 27, 26, 29 and 30. The lowest increase in turnover was recorded for enterprises in sections 21, 23, 24 and 28. Differences in turnover growth were also observed across regions. Conclusions: Providing support for innovation contributes to the growth of turnover. A larger share of public aid should be allocated to the category of small and medium-sized enterprises and knowledge-intensive industries.","PeriodicalId":43772,"journal":{"name":"Business Systems Research Journal","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80427861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：