Pub Date : 2021-04-30DOI: 10.11648/J.IJEM.20210501.13
S. S. Shukir
Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted from generation to industrial, domestic and commercial consumers. At least 50% of power quality problems are of voltage quality type. In power system voltage sags, voltage distortion introduced by harmonics, and asymmetrical voltage are considered to be the most severe affecting power quality, because both utilities and consumers are affected by these disturbances. Different methods introduced to solve power problems but the custom power devices are the most effective and efficient methods, one of which is the use of the Dynamic Voltage Restorer (DVR). The main objectives of this research are to achieve more accuracy in compensating the voltage variations and reducing the total harmonics distortion (THD) to acceptable limits. Most of the researchers applied the control strategies to compensate the voltage disturbances in critical load but did not focus on the objective of reducing the total harmonics distortion (THD). In many sensitive loads such as, airport lighting system, medical equipment, auxiliary plant of power system, and adjustable speed drives., the level of the (THD) is more important, this research focuses on mitigating the harmonics to less than 3%. An adaptive controller like fuzzy neural optimized fuzzy logic controller is proposed to improve the performance of the DVR in injecting the required voltage to restore the load voltage to its nominal value under different voltage variations which are created by MATLAB/SIMULINK program for a period of 0.15s from 0.8s and kept till 0.95s.
{"title":"Fuzzy Neural Optimized Fuzzy Logic Controller Based Dynamic Voltage Restorer for Power Quality Improvement with Non-linear Loads","authors":"S. S. Shukir","doi":"10.11648/J.IJEM.20210501.13","DOIUrl":"https://doi.org/10.11648/J.IJEM.20210501.13","url":null,"abstract":"Recently a large attention has been focused on a power quality domain due to: disturbances caused by non-linear loads, Increase in number of electronic devices and growth of renewable energy sources. Power quality measures the fitness of electric power transmitted from generation to industrial, domestic and commercial consumers. At least 50% of power quality problems are of voltage quality type. In power system voltage sags, voltage distortion introduced by harmonics, and asymmetrical voltage are considered to be the most severe affecting power quality, because both utilities and consumers are affected by these disturbances. Different methods introduced to solve power problems but the custom power devices are the most effective and efficient methods, one of which is the use of the Dynamic Voltage Restorer (DVR). The main objectives of this research are to achieve more accuracy in compensating the voltage variations and reducing the total harmonics distortion (THD) to acceptable limits. Most of the researchers applied the control strategies to compensate the voltage disturbances in critical load but did not focus on the objective of reducing the total harmonics distortion (THD). In many sensitive loads such as, airport lighting system, medical equipment, auxiliary plant of power system, and adjustable speed drives., the level of the (THD) is more important, this research focuses on mitigating the harmonics to less than 3%. An adaptive controller like fuzzy neural optimized fuzzy logic controller is proposed to improve the performance of the DVR in injecting the required voltage to restore the load voltage to its nominal value under different voltage variations which are created by MATLAB/SIMULINK program for a period of 0.15s from 0.8s and kept till 0.95s.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"19 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81602989","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}
Pub Date : 2021-04-29DOI: 10.11648/J.IJEM.20210501.12
M. Khazaei
Business and investment in any area requires the provision of an appropriate and secure institutional environment. One of the factors that helps to expand businesses and increase corporate profits is the right business environment. Avoiding complicated administrative bureaucracy, lending and credit, proper international trade, and the ease of obtaining the necessary permits will be helpful in this regard. On the other hand, businesses can perform better in a happy and stress-free environment. Happiness is an emotional state characterized by feelings of joy, satisfaction, contentment, and fulfillment. While happiness has many different definitions, it is often described as involving positive emotions and life satisfaction. The purpose of the present study is to investigate the relationship between the business environment and happiness indicators with corporate profitability. For this purpose, 175 top companies in the world from 2013 to 2018 that were profitable among the top 500 companies each year were selected as the statistical population. World Happiness annual report, Doing Business annual reports, and Fortune site were used to collect the data. Also the data analysis was done according to the panel data method using Stata software. The results shows that in general, there is a positive relationship between business environment and happiness indicators corporate profitability.
{"title":"The Relationship Between Business Environment and Happiness with Corporate Profitability","authors":"M. Khazaei","doi":"10.11648/J.IJEM.20210501.12","DOIUrl":"https://doi.org/10.11648/J.IJEM.20210501.12","url":null,"abstract":"Business and investment in any area requires the provision of an appropriate and secure institutional environment. One of the factors that helps to expand businesses and increase corporate profits is the right business environment. Avoiding complicated administrative bureaucracy, lending and credit, proper international trade, and the ease of obtaining the necessary permits will be helpful in this regard. On the other hand, businesses can perform better in a happy and stress-free environment. Happiness is an emotional state characterized by feelings of joy, satisfaction, contentment, and fulfillment. While happiness has many different definitions, it is often described as involving positive emotions and life satisfaction. The purpose of the present study is to investigate the relationship between the business environment and happiness indicators with corporate profitability. For this purpose, 175 top companies in the world from 2013 to 2018 that were profitable among the top 500 companies each year were selected as the statistical population. World Happiness annual report, Doing Business annual reports, and Fortune site were used to collect the data. Also the data analysis was done according to the panel data method using Stata software. The results shows that in general, there is a positive relationship between business environment and happiness indicators corporate profitability.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"37 7 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75373104","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}
Pub Date : 2021-04-26DOI: 10.11648/J.IJEM.20210501.11
S. S. Shukir
The Dynamic Voltage Restorer (DVR) is one of the most efficient and effective custom power devices in protecting the sensitive equipment against voltage sag and voltage harmonics due to; lower cost, smaller size and dynamic response. The inverter is the core of the DVR and it directly affects the performance of the DVR, incorrect injection or delay in the process would be dangerous to sensitive loads. The major functions of the DVR controller are, detection of voltage disturbances events in the system, calculation of the compensating voltage and generation the reference signal for the PWM to trigger the voltage source inverter. PI controller and fuzzy logic controller has been compared with the proposed fuzzy neural optimized fuzzy logic controller in correcting the sag problems and mitigating the harmonics distortion with linear and non-linear loads. Fuzzy Neural optimized Fuzzy Logic controller is the most efficient in improving the performance of the Dynamic Voltage Restorer in compensating any kind of voltage variations and reducing the voltage Total Harmonic Distortion (THD) by enhancing an injection capability of the DVR which is highly influenced by a control algorithm employed. The system is simulated in MATLAB and results confirm the validity and feasibility.
{"title":"Comparison the Performance of the Dynamic Voltage Restorer Based on PI, Fuzzy Logic, and Fuzzy Neural Controller","authors":"S. S. Shukir","doi":"10.11648/J.IJEM.20210501.11","DOIUrl":"https://doi.org/10.11648/J.IJEM.20210501.11","url":null,"abstract":"The Dynamic Voltage Restorer (DVR) is one of the most efficient and effective custom power devices in protecting the sensitive equipment against voltage sag and voltage harmonics due to; lower cost, smaller size and dynamic response. The inverter is the core of the DVR and it directly affects the performance of the DVR, incorrect injection or delay in the process would be dangerous to sensitive loads. The major functions of the DVR controller are, detection of voltage disturbances events in the system, calculation of the compensating voltage and generation the reference signal for the PWM to trigger the voltage source inverter. PI controller and fuzzy logic controller has been compared with the proposed fuzzy neural optimized fuzzy logic controller in correcting the sag problems and mitigating the harmonics distortion with linear and non-linear loads. Fuzzy Neural optimized Fuzzy Logic controller is the most efficient in improving the performance of the Dynamic Voltage Restorer in compensating any kind of voltage variations and reducing the voltage Total Harmonic Distortion (THD) by enhancing an injection capability of the DVR which is highly influenced by a control algorithm employed. The system is simulated in MATLAB and results confirm the validity and feasibility.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"120 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80600384","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}
Pub Date : 2021-01-01DOI: 10.1177/18479790211004010
Victoria Jnitova, K. Joiner, M. Efatmaneshnik, Elizabeth Chang
Large organisations use both internal and external methods to educate their workforce. Workforce approaches in Defence were usually of a closed nature, characterised by entry at recruitment and sequential and hierarchical rank progression. More recently, emerging technology and the associated pace of societal change has required Defence to recruit more laterally and to outsource more education, both ab initio and development. The growing complexity of workforce problems, therefore, challenges military educational decision making to increase its focus on organisational resilience. Modelling and Simulation (M&S) can take messy, ill-defined problems and build models for decision support and problem-solving. M&S is being explored in Defence workforce employability planning to deliver education that is more resilient to perturbations and can more confidently predict graduate demand for educational support partnering. However, the effective use of M&S can be compromised if it is not cognitively useful for the problem owner. A new transformational approach between the modeller and the managers of Defence educational workforce is proposed and illustrated by two conceptual case studies. The method uses the module-based translation between Business Process Model Notation (BPMN) design patterns and systems dynamics building blocks to reduce the problem owner’s reliance on specialist modellers. This approach increases the cognitive effectiveness of proposed workforce education solutions and the sharing and reuse of workforce M&S applications. Any large organisation with sufficient human resource and systems engineering support could adopt this new approach to model and simulate their workforce education and examine their resilience to fluctuations.
{"title":"Modelling workforce employability pipelines for organisational resilience","authors":"Victoria Jnitova, K. Joiner, M. Efatmaneshnik, Elizabeth Chang","doi":"10.1177/18479790211004010","DOIUrl":"https://doi.org/10.1177/18479790211004010","url":null,"abstract":"Large organisations use both internal and external methods to educate their workforce. Workforce approaches in Defence were usually of a closed nature, characterised by entry at recruitment and sequential and hierarchical rank progression. More recently, emerging technology and the associated pace of societal change has required Defence to recruit more laterally and to outsource more education, both ab initio and development. The growing complexity of workforce problems, therefore, challenges military educational decision making to increase its focus on organisational resilience. Modelling and Simulation (M&S) can take messy, ill-defined problems and build models for decision support and problem-solving. M&S is being explored in Defence workforce employability planning to deliver education that is more resilient to perturbations and can more confidently predict graduate demand for educational support partnering. However, the effective use of M&S can be compromised if it is not cognitively useful for the problem owner. A new transformational approach between the modeller and the managers of Defence educational workforce is proposed and illustrated by two conceptual case studies. The method uses the module-based translation between Business Process Model Notation (BPMN) design patterns and systems dynamics building blocks to reduce the problem owner’s reliance on specialist modellers. This approach increases the cognitive effectiveness of proposed workforce education solutions and the sharing and reuse of workforce M&S applications. Any large organisation with sufficient human resource and systems engineering support could adopt this new approach to model and simulate their workforce education and examine their resilience to fluctuations.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"37 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79821442","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}
Pub Date : 2021-01-01DOI: 10.1177/18479790211058320
Byunghak Leem
The study is to propose a theoretical framework for a value co-creation process based on Service Dominant logic and to explore the effect of value co-creation on student benefits in a higher education environment. We applied value co-creation in an online education platform during the COVID-19 pandemic and conducted an empirical analysis on the value co-creation theory in higher education. We found the following results. First, co-production not only directly affects the value-in-use, but also affects student benefits, consisting of satisfaction and loyalty. Second, value-in-use also has a direct effect on student benefits and is more important than co-production in increasing student benefits in an online education platform. This study extends the Service Dominant logic theory by applying the Service Dominant logic, which has been widely studied in service marketing, to the higher education environment. This study also helps university stakeholders to understand the value of online education platform, understand the diversification of online education modalities, and understand the perspective of students as co-creator.
{"title":"An effect of value co-creation on student benefits in COVID-19 pandemic","authors":"Byunghak Leem","doi":"10.1177/18479790211058320","DOIUrl":"https://doi.org/10.1177/18479790211058320","url":null,"abstract":"The study is to propose a theoretical framework for a value co-creation process based on Service Dominant logic and to explore the effect of value co-creation on student benefits in a higher education environment. We applied value co-creation in an online education platform during the COVID-19 pandemic and conducted an empirical analysis on the value co-creation theory in higher education. We found the following results. First, co-production not only directly affects the value-in-use, but also affects student benefits, consisting of satisfaction and loyalty. Second, value-in-use also has a direct effect on student benefits and is more important than co-production in increasing student benefits in an online education platform. This study extends the Service Dominant logic theory by applying the Service Dominant logic, which has been widely studied in service marketing, to the higher education environment. This study also helps university stakeholders to understand the value of online education platform, understand the diversification of online education modalities, and understand the perspective of students as co-creator.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"293 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80612851","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}
Pub Date : 2021-01-01DOI: 10.1177/18479790211016268
Heuiju Chun, Byunghak Leem, H. Suh
In this study we investigate whether Facebook fan-page posting types and topics have a significant effect on engagement. More specifically, the media type and content theme of posting on Facebook are examined to see whether or not there was a difference between content topics. In order to achieve this goal, we set hypotheses as follows: (1) the media types of posting have a significant effect on engagement; (2) the topics and sentiment polarity of posting have a significant effect on engagement. We tested these hypotheses using research procedures as follows: (1) collection and preprocessing of social-media data, including posting types, comments, and reactions on Facebook fan pages, (2) topic modeling of fan-page postings using R and SAS, (3) testing hypotheses using a negative binomial regression model, and (4) implications and insights for social-media marketing. Topic modeling applying to textual data and sentiment analysis were conducted. After that, in order to find the factors to affect the number of Facebook fan-page engagements, the negative binomial regression model including post type, topic, sentiment, reactions of “love,” “haha,” and their interaction as exploratory variables was considered. Finally, the results show that post type is the most influential factor to affect social-media engagement, and content topics, sentiments of posts and comments also have significant effects on it.
{"title":"Using text analytics to measure an effect of topics and sentiments on social-media engagement: Focusing on Facebook fan page of Toyota","authors":"Heuiju Chun, Byunghak Leem, H. Suh","doi":"10.1177/18479790211016268","DOIUrl":"https://doi.org/10.1177/18479790211016268","url":null,"abstract":"In this study we investigate whether Facebook fan-page posting types and topics have a significant effect on engagement. More specifically, the media type and content theme of posting on Facebook are examined to see whether or not there was a difference between content topics. In order to achieve this goal, we set hypotheses as follows: (1) the media types of posting have a significant effect on engagement; (2) the topics and sentiment polarity of posting have a significant effect on engagement. We tested these hypotheses using research procedures as follows: (1) collection and preprocessing of social-media data, including posting types, comments, and reactions on Facebook fan pages, (2) topic modeling of fan-page postings using R and SAS, (3) testing hypotheses using a negative binomial regression model, and (4) implications and insights for social-media marketing. Topic modeling applying to textual data and sentiment analysis were conducted. After that, in order to find the factors to affect the number of Facebook fan-page engagements, the negative binomial regression model including post type, topic, sentiment, reactions of “love,” “haha,” and their interaction as exploratory variables was considered. Finally, the results show that post type is the most influential factor to affect social-media engagement, and content topics, sentiments of posts and comments also have significant effects on it.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"1 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77745092","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}
Pub Date : 2021-01-01DOI: 10.1177/18479790211039723
Ary Arvianto, B. M. Sopha, A. M. Asih, M. Imron
Varying characteristics of developed and developing countries have resulted in different challenges and innovative solutions of city logistics. This study aimed to identify research clusters on city logistics between developed and developing economies and to systematically compare city logistics challenges and associated innovative solutions for both economies. Bibliometric analysis and a systematic literature review were applied to analyze 328 peer-reviewed publications, comprising 229 (70%) and 99 (30%) articles addressing case studies in developed and developing economies, respectively. We discovered six research clusters in city logistics literature for developed countries, compared with only four for developing economies in which public policy has not been addressed. Urban growth, environmental challenges, and traffic congestion are the three major city logistics challenges in both types of economies. Furthermore, fleet increment and inadequate loading/unloading spaces are the city logistics challenges analyzed in the literature on developing countries compared with the literature on developed economies that addresses the challenges of education deficiency, regulation, emergence of new business models, and network accessibility and capacity. Consequently, innovative solutions adopted by developed countries demonstrate varied processes involving technology, policy (including public policy and sustainability measures), infrastructure, and economic measures, while for developing countries, the focus remains on effective and efficient distribution operations using optimization and collaboration efforts.
{"title":"City logistics challenges and innovative solutions in developed and developing economies: A systematic literature review","authors":"Ary Arvianto, B. M. Sopha, A. M. Asih, M. Imron","doi":"10.1177/18479790211039723","DOIUrl":"https://doi.org/10.1177/18479790211039723","url":null,"abstract":"Varying characteristics of developed and developing countries have resulted in different challenges and innovative solutions of city logistics. This study aimed to identify research clusters on city logistics between developed and developing economies and to systematically compare city logistics challenges and associated innovative solutions for both economies. Bibliometric analysis and a systematic literature review were applied to analyze 328 peer-reviewed publications, comprising 229 (70%) and 99 (30%) articles addressing case studies in developed and developing economies, respectively. We discovered six research clusters in city logistics literature for developed countries, compared with only four for developing economies in which public policy has not been addressed. Urban growth, environmental challenges, and traffic congestion are the three major city logistics challenges in both types of economies. Furthermore, fleet increment and inadequate loading/unloading spaces are the city logistics challenges analyzed in the literature on developing countries compared with the literature on developed economies that addresses the challenges of education deficiency, regulation, emergence of new business models, and network accessibility and capacity. Consequently, innovative solutions adopted by developed countries demonstrate varied processes involving technology, policy (including public policy and sustainability measures), infrastructure, and economic measures, while for developing countries, the focus remains on effective and efficient distribution operations using optimization and collaboration efforts.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"72 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90258861","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}
Pub Date : 2021-01-01DOI: 10.1177/18479790211023348
S. Bait, Serena Marino Lauria, M. Schiraldi
The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.
{"title":"Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19","authors":"S. Bait, Serena Marino Lauria, M. Schiraldi","doi":"10.1177/18479790211023348","DOIUrl":"https://doi.org/10.1177/18479790211023348","url":null,"abstract":"The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"94 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77188326","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}
Pub Date : 2021-01-01DOI: 10.1177/18479790211065558
L. Cannavacciuolo, C. Ponsiglione, Antonio D’Ambrosio
This paper presents a dashboard for assessing the quality of Triage decision-making process in the assignment of the priority code to patients arriving at an emergency department. The quality is assessed through performance indexes aimed at measuring both the nurses’ accuracy and the presence of nurses’ shared behavior in the Triage assignment process. The theoretical perspective of the cognitive heuristic, that is a cognitive shortcut strategy to make decisions, is the framework to design performance indexes of the dashboard. The dashboard has been tested in two Emergency Departments. We gather the data input through the submission to 54 nurses of a questionnaire, simulating 25 patients’ scenarios. The dashboard reveals a disparity between nurses in priority level assignment. This disparity depends on nurses’ capacity in disregarding some information and in considering the right cue. We find the presence of sharing behaviors and inclination to over or under assessment by nurses. This performance analysis, integrated with the nurses’ reasoning in assigning the priority code, can address the management in designing improvement actions at individual level and at the organizational one. In addition, the application to two Emergency Department confirms the influence of organizational aspects in the individual decision process.
{"title":"How to improve the Triage: A dashboard to assess the quality of nurses’ decision-making","authors":"L. Cannavacciuolo, C. Ponsiglione, Antonio D’Ambrosio","doi":"10.1177/18479790211065558","DOIUrl":"https://doi.org/10.1177/18479790211065558","url":null,"abstract":"This paper presents a dashboard for assessing the quality of Triage decision-making process in the assignment of the priority code to patients arriving at an emergency department. The quality is assessed through performance indexes aimed at measuring both the nurses’ accuracy and the presence of nurses’ shared behavior in the Triage assignment process. The theoretical perspective of the cognitive heuristic, that is a cognitive shortcut strategy to make decisions, is the framework to design performance indexes of the dashboard. The dashboard has been tested in two Emergency Departments. We gather the data input through the submission to 54 nurses of a questionnaire, simulating 25 patients’ scenarios. The dashboard reveals a disparity between nurses in priority level assignment. This disparity depends on nurses’ capacity in disregarding some information and in considering the right cue. We find the presence of sharing behaviors and inclination to over or under assessment by nurses. This performance analysis, integrated with the nurses’ reasoning in assigning the priority code, can address the management in designing improvement actions at individual level and at the organizational one. In addition, the application to two Emergency Department confirms the influence of organizational aspects in the individual decision process.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"233 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73487259","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}
Pub Date : 2021-01-01DOI: 10.20472/bm.2021.9.2.002
Barbara A. Manko, Cezary Przęczek
: When an organization closes its business temporarily or transfers employees to work from home during the pandemic, it faces risks. The biggest risk is the loss of the most important assets of any company – the employee. Employees who have been left without a job may find a new one and not return to the old job when the business reopens. Further disruption may occur because some people prefer the organizational culture of face-to-face work, and working online is not the same. They experience loneliness and disruption from their personal life. Our model and survey are designed to help managers and leaders save their organizations. A business’s effectiveness and reputation is built from customer and employee communication.
{"title":"RISK MANAGEMENT: MODELING THE HUMAN RESOURCES RESPONSE TO THE COVID-19 SHUTDOWN","authors":"Barbara A. Manko, Cezary Przęczek","doi":"10.20472/bm.2021.9.2.002","DOIUrl":"https://doi.org/10.20472/bm.2021.9.2.002","url":null,"abstract":": When an organization closes its business temporarily or transfers employees to work from home during the pandemic, it faces risks. The biggest risk is the loss of the most important assets of any company – the employee. Employees who have been left without a job may find a new one and not return to the old job when the business reopens. Further disruption may occur because some people prefer the organizational culture of face-to-face work, and working online is not the same. They experience loneliness and disruption from their personal life. Our model and survey are designed to help managers and leaders save their organizations. A business’s effectiveness and reputation is built from customer and employee communication.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"15 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79115684","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：