An Assessment of Lean Communication at a Nuclear Power Plant

2015 ◽  
pp. 118-146 ◽  
Author(s):  
Edem G. Tetteh ◽  
Yao Amewokunu
Keyword(s):  
Power Generation ◽  
Regression Analysis ◽  
Nuclear Power ◽  
Critical Factors ◽  
Process Data ◽  
The Public ◽  
Or Groups ◽  
Efficient Communication ◽  
The Relationship ◽  
Common Understanding

Communication is the sharing of information between individuals or groups to reach common understanding or goals. Ensuring effective and efficient communication is important when dealing with complex structures such as a nuclear power generation environment. This calls for a need for partnership and dialogue between major stakeholders in government, industry, employees, and the public at large. Even though communication can alarm people to seek safety, it can be used to calm employees as well as generate a sense of urgency. This chapter uses a survey to investigate the relationship between communication and 13 critical factors of lean management principles in an organization where safety is the fundamental component of the process. Data was collected and analyzed using Pearson's correlation coefficient and regression analysis. The results show that friendliness, willingness, guarantee, criticism, self-esteem, and acceptance are positive predictors of a lean communication while responsibility is negative.

An Assessment of Lean Communication at a Nuclear Power Plant

2020 ◽  
pp. 1017-1037
Author(s):  
Edem G. Tetteh ◽  
Yao Amewokunu
Keyword(s):  
Power Generation ◽  
Regression Analysis ◽  
Nuclear Power ◽  
Critical Factors ◽  
Process Data ◽  
The Public ◽  
Or Groups ◽  
Efficient Communication ◽  
The Relationship ◽  
Common Understanding

Communication is the sharing of information between individuals or groups to reach common understanding or goals. Ensuring effective and efficient communication is important when dealing with complex structures such as a nuclear power generation environment. This calls for a need for partnership and dialogue between major stakeholders in government, industry, employees, and the public at large. Even though communication can alarm people to seek safety, it can be used to calm employees as well as generate a sense of urgency. This chapter uses a survey to investigate the relationship between communication and 13 critical factors of lean management principles in an organization where safety is the fundamental component of the process. Data was collected and analyzed using Pearson's correlation coefficient and regression analysis. The results show that friendliness, willingness, guarantee, criticism, self-esteem, and acceptance are positive predictors of a lean communication while responsibility is negative.

Service Information Database for Consumer Acceptance

2011 ◽  
Author(s):  
Kenji Iino ◽  
Masayuki Nakao ◽  
Tsukasa Hayashi
Keyword(s):  
Power Generation ◽  
Nuclear Power ◽  
Service Work ◽  
Public Acceptance ◽  
Nuclear Power Generation ◽  
The Public ◽  
Utility Company ◽  
Service Information ◽  
Utility Companies ◽  
Poor Management

Hardly any engineering product is free of trouble and it has to go through service work, corrective or preventive. Fixing a mechanical pencil with a jammed lead is relatively an easy task for a mechanical engineer, whereas maintaining a power plant requires thorough planning, material handling, work order processing, and huge workforce. Naturally service work for large structures require a well designed database. The authors have shown [1] the importance of feeding service information back to the designer for authorization so the serviceperson will not “invent” maintenance work that may lead to product failure. This paper further suggests opening the whole service process to the public. The idea is especially valuable for some industries that need public acceptance, e.g., nuclear power generation. Nuclear power generation is often a subject of debate for public acceptance. This paper discusses two incidents of cover-ups by utility companies that caused large setback in their public acceptance, one case of overreaction triggered by the media showing dramatic accident scenes without explaining what was going wrong, and an example of poor management that cost a utility company its credence with the public. Up to the time of these incidents utility companies, out of the mindset of “Public do not understand our highly technical operation so telling them what is going on just creates confusion,” tended not to fully explain events that may have affected the public. Thanks to the way information flows around the world these days, even though we may not follow the “techy” words, there are those that understand the phenomena and are good at rephrasing the information so we can easily understand them. The utility company in the poor management case, Chugoku Electric Power Company (ENERGIA), in its efforts to recover the public trust, started a new service information system on the web that opens information about troubles and nonconformance in their plants to the public. This paper explains this new system that is currently in operation. It is a total change in the way a utility company interacts with the public. The courageous step by ENERGIA raises the public knowledge and awareness of nuclear power generation and assures security and safety to the society. The INTERNET is making it harder for companies, administration, educational institutions or any other entities to operate without public acceptance. Opening information is a way we all have to get used to in the coming years.

scholarly journals Public Emotions and Rumors Spread During the COVID-19 Epidemic in China: Web-Based Correlation Study

10.2196/21933 ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. e21933
Author(s):  
Wei Dong ◽  
Jinhu Tao ◽  
Xiaolin Xia ◽  
Lin Ye ◽  
Hanli Xu ◽  
...  
Keyword(s):  
Correlation Study ◽  
Physical And Mental Health ◽  
Monitoring Methods ◽  
Process Data ◽  
Web Based ◽  
Positive Correlation ◽  
Inappropriate Behaviors ◽  
The Public ◽  
Time Lagged ◽  
The Relationship

Background Various online rumors have led to inappropriate behaviors among the public in response to the COVID-19 epidemic in China. These rumors adversely affect people’s physical and mental health. Therefore, a better understanding of the relationship between public emotions and rumors during the epidemic may help generate useful strategies for guiding public emotions and dispelling rumors. Objective This study aimed to explore whether public emotions are related to the dissemination of online rumors in the context of COVID-19. Methods We used the web-crawling tool Scrapy to gather data published by People’s Daily on Sina Weibo, a popular social media platform in China, after January 8, 2020. Netizens’ comments under each Weibo post were collected. Nearly 1 million comments thus collected were divided into 5 categories: happiness, sadness, anger, fear, and neutral, based on the underlying emotional information identified and extracted from the comments by using a manual identification process. Data on rumors spread online were collected through Tencent’s Jiaozhen platform. Time-lagged cross-correlation analyses were performed to examine the relationship between public emotions and rumors. Results Our results indicated that the angrier the public felt, the more rumors there would likely be (r=0.48, P<.001). Similar results were observed for the relationship between fear and rumors (r=0.51, P<.001) and between sadness and rumors (r=0.47, P<.001). Furthermore, we found a positive correlation between happiness and rumors, with happiness lagging the emergence of rumors by 1 day (r=0.56, P<.001). In addition, our data showed a significant positive correlation between fear and fearful rumors (r=0.34, P=.02). Conclusions Our findings confirm that public emotions are related to the rumors spread online in the context of COVID-19 in China. Moreover, these findings provide several suggestions, such as the use of web-based monitoring methods, for relevant authorities and policy makers to guide public emotions and behavior during this public health emergency.

The South Korean public’s evaluation of the mix of power generation sources: A choice experiment study

2019 ◽  
Vol 31 (7) ◽  
pp. 1181-1190 ◽  
Author(s):  
Hyo-Jin Kim ◽  
Seul-Ye Lim ◽  
Seung-Hoon Yoo
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Natural Gas ◽  
Choice Experiment ◽  
Nuclear Power ◽  
Energy Transition ◽  
The South ◽  
South Korean Government ◽  
The Public ◽  
South Korean

The South Korean government is pursuing an energy transition, which means a reduction in nuclear power and coal-fired power generation, and an expansion into renewable energy. This study seeks to evaluate the South Korean public’s preference for a mix of power generation sources. For this purpose, 1000 households throughout the country were randomly selected and a choice experiment survey of them was undertaken in March 2018. We considered four attributes: the ratio of nuclear power, the ratio of coal-fired generation, the ratio of natural gas-fired generation, and the ratio of renewable energy. An increase in the monthly electric bill was also considered as an attribute. The results of applying the choice experiment approach show that households were willing to accept an increase in their monthly electric bill by KRW 192 (USD 0.17) and KRW 165 (USD 0.15) for reducing the proportion of nuclear power and coal, respectively, by 1%p. They were willing to pay KRW 159 (USD 0.14) and KRW 409 (USD 0.38) for raising the ratio of natural gas and renewable energy, respectively, through an increase in the monthly electricity bill. The findings reveal that the government’s energy transition has overall support from the public.

The Relationship between Managerial Commitment towards Manufacturing Capabilities: Investigating in an Electrical and Electronic Industries in Malaysia

2015 ◽  
Vol 793 ◽  
pp. 647-651
Author(s):  
Mohammad Harith bin Amlus ◽  
Ahmad Zaidi Abdullah ◽  
Amlus Ibrahim
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Northern Region ◽  
Critical Factors ◽  
Significant Relationships ◽  
Regression Techniques ◽  
Study Support ◽  
The Relationship

Generally, manufacturing capabilities are the important factor in running and developing business. Hence, this research is aimed to identifying the relationships of critical factors and make sure the companies can survive in the northern region of Malaysia esspecially in Electrical and Electronic area. Those identified factors are managerial commitment and manufacturing capabilities in term of agility. Through the survey, a total of 119 companies representing various industries in Northern Region of Malaysia had responded. The hypotheses involved were tested using correlation and regression techniques. The results of the study support all the hypotheses. The multiple regression analysis indicates that there are significant relationships among the factors on each criterion to manufacturing capabilities. It is believed that results of this study will be beneficial for shareholders and directors of electrical and electronic companies to apply these manufacturing capabilities.

scholarly journals The Interaction between Service Quality and Students Satisfaction

2018 ◽  
Vol 8 (3) ◽  
pp. 37-42
Author(s):  
Sheikh Aftab Ahmad
Keyword(s):  
Saudi Arabia ◽  
Regression Analysis ◽  
Service Quality ◽  
Public Interest ◽  
Public And Private ◽  
The Public ◽  
The Government ◽  
The Relationship ◽  
Students Satisfaction

This study aims to describe the effect of service quality on students’ satisfaction. The study used a sample of respondents from university students in Hail, Saudi Arabia, and the data were collected through questionnaire. Descriptive and regression analysis were used to find out the relationship between students satisfaction and service quality. This study concluded that there is a significant effect of tangible, reliability on students’ satisfaction at university in Hail state. Moreover, there is a difference in service quality of higher educations managed by government and those managed by a foundation (private). Also, there is a difference between students satisfaction in public and private universities. Based on the findings, it is suggested that the government needs to pay more attention to increase service quality for the satisfaction of students, which will develop the public interest to go to university.

Detecting the Determinant Attributes of Entrepreneurial Orientation within the Italian University Departments

2014 ◽  
Vol 22 (02) ◽  
pp. 133-159 ◽  
Author(s):  
Angelo Riviezzo
Keyword(s):  
Regression Analysis ◽  
Performance Analysis ◽  
Multiple Regression Analysis ◽  
Entrepreneurial Orientation ◽  
Public Universities ◽  
Department Heads ◽  
The Public ◽  
University Departments ◽  
Definition Of ◽  
The Relationship

In the context of public universities the use of the entrepreneurial orientation construct is not widespread and still there is no precise definition of what it means. It is, in fact, necessary to consider the peculiarities of universities and then adopt a coherent operationalization of the construct. The main aim of this paper is to identify the determinant attributes of the entrepreneurial orientation within the Italian universities. To this aim, the study moves from a recent and innovative definition of the public universities' entrepreneurial orientation proposed in the literature, and is based on survey data from 103 Italian university departments. A multiple regression analysis and an importance-performance analysis are used to investigate the relationship between the dimensions and the single items used to operationalize the entrepreneurial orientation and the entrepreneurial orientation perceived by the surveyed department heads. The findings show that not all the dimensions and the items considered affect in the same way the Italian university entrepreneurial orientation. Implications and limitations are discussed.

Predicting Organisational Performance Through Innovation, Quality And Inter-Organisational Systems: A Public Sector Perspective

2015 ◽  
Vol 31 (3) ◽  
pp. 939 ◽  
Author(s):  
Chengedzai Mafini
Keyword(s):  
Regression Analysis ◽  
Public Sector ◽  
South African ◽  
Survey Method ◽  
Organisational Performance ◽  
African Government ◽  
The Public ◽  
Parametric Statistics ◽  
Public Organisations ◽  
The Relationship

There remains a constant need for further empirical research on organisational performance in the public sector, in a bid to generate current and relevant solutions. Such an approach could be a panacea for performance-related problems that continue to affect public organisations in developing countries. The purpose of this study was to examine the relationship between organisational performance and three input factors; namely, innovation, inter-organisational systems and quality. A quantitative approach using the survey method was used in which a questionnaire was administered to 272 randomly selected managers and employees of a South African government department. Data were analysed using a combination of descriptive and non-parametric statistics. Spearmans rho was used to measure the strength of the relationships and regression analysis was used to measure the extent to which the input factors predicted organisational performance. Spearmans correlations showed strong positive relationships between organisational performance and all three factors while regression analysis also revealed that the three factors predicted organisational performance. The study is significant in that managers in public organisations can use the findings as a diagnostic tool in performance problems, with a view to enhance organisational performance among public sector organisations.

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