Airline Effective Green Operations Strategy Patterns

2020 ◽  
pp. 153-171
Keyword(s):  
Water Management ◽  
Data Analysis ◽  
Waste Management ◽  
Ghg Emissions ◽  
Decision Makers ◽  
Operations Strategy ◽  
Effective Strategy ◽  
Analysis Techniques ◽  
Noise Management

This chapter reports the effective green operations strategy patterns. To achieve this aim, the green operations strategy patterns of 23 airlines from five regions were investigated. This chapter depended on the results of previous chapters. Accordingly, the reported effective green operations strategy under each indicator was used to report the effective green operations strategy patterns. The special tailored data analysis techniques were used for this purpose. The chapter reported eight effective strategy patterns, the strategy patterns were water management, waste management+, GHG and noise management, GHG emissions, GHG waste and noise, GHG and water management+, do all and noise management. This chapter helps the decision makers and the academics alike since all effective patterns were identified.

Airline Effective Noise Management Strategies

2020 ◽  
pp. 131-152
Keyword(s):  
Data Analysis ◽  
Design Patterns ◽  
Management Strategies ◽  
Aircraft Design ◽  
Decision Makers ◽  
Published Data ◽  
Analysis Techniques ◽  
Sustainability Reports ◽  
Noise Management

This chapter reports the effective noise management strategies of the airlines. To achieve this aim, the practices of 18 airlines from five regions were investigated. The data used in this chapter was secondary published data in the annual sustainability reports. The data was retrieved from GRI (Global Reporting Initiatives) website. The special tailored data analysis techniques were used for this purpose. The chapter reported 17 effective strategic patterns. The strategic patterns were seven hybrid patterns, four conformance with ICAO standards patterns, two flights operating patterns, one conformance with FAA standards pattern, and three aircraft design patterns. This chapter helps the decision makers and the academics alike.

Integrating OLAP/SOLAP in E-Business Domains

2011 ◽  
Vol 24 (3) ◽  
pp. 45-60
Author(s):  
Ben Ali ◽  
Samar Mouakket
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Analysis ◽  
United Arab Emirates ◽  
Decision Makers ◽  
Job Seekers ◽  
Job Market ◽  
Analysis Techniques ◽  
Analytical Processing ◽  
User Friendly

E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing (OLAP) and Spatial OLAP (SOLAP). Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis (non-spatial and spatial) and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates (UAE). The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE.

Airline Green Operations Strategy

2020 ◽  
pp. 190-212
Keyword(s):  
Theoretical Models ◽  
Decision Makers ◽  
Operations Strategy ◽  
Effective Strategy ◽  
Future Improvement ◽  
Clear Idea

This chapter recommends future improvement on airline green operations strategy patterns. To achieve this aim, the ineffective green operations strategy of 12 airlines from five regions were analyzed, and changes on the ineffective strategies have been recommended. The average overall index of all green indicators will be improved to be positive. All indices of all regions will be improved to be positive. The number of effective patterns after improvement will be seven. In addition, the green indices achieved after improvement will be moderate. This chapter helps the decision makers and the academics alike. The academics have in-depth results about the most effective strategy patterns that could be utilized to develop more extended theoretical models. The experts in the industry have a clear idea about the recommended effective strategy patterns that could be adopted.

Introduction to Airline Green Operations Strategy

2020 ◽  
pp. 1-16
Keyword(s):  
Waste Water ◽  
Water Consumption ◽  
Ghg Emissions ◽  
Operations Strategy ◽  
Effective Strategy ◽  
General Introduction ◽  
Research Gaps ◽  
Environmental Initiatives ◽  
The Future

This chapter introduces this book. To achieve this aim, this chapter discussed the environmental initiatives and challenges of airlines. Then, a general introduction of green operations strategy configuration and content was presented. Finally, the research gaps and contributions of the book were discussed. This book aimed to bridge the current research gaps by reporting the effective green operations strategy in reducing direct GHG emissions, indirect GHG emissions, waste, water consumption, and noise. Moreover, the book reports the effective strategy patterns at case and regional levels. Finally, the book recommends some changes in the current ineffective green operations strategy patterns to have more effective strategy patterns in the future.

scholarly journals Peningkatan Peran Serta Masyarakat dalam Pengelolaan Sampah Rumah Tangga Di Kabupaten Pakpak Bharat

2020 ◽  
Vol 2 (2) ◽  
pp. 204-216
Author(s):  
Sahat Maniur Hutagaol ◽  
M. Arif Nasution ◽  
Abdul Kadir
Keyword(s):  
Data Analysis ◽  
Waste Management ◽  
Qualitative Data ◽  
Organic Waste ◽  
Public Awareness ◽  
Household Waste ◽  
Observation Data ◽  
Analysis Techniques ◽  
Household Waste Management

This study aims to determine and analyze the role of the community in managing household waste in Pakpak Bharat Regency and to identify and analyze constraints in household waste management in Pakpak Bharat District. Research informants were selected by purposive sampling. Data collection techniques used through interviews and observation. Data Analysis Techniques used in this study are qualitative data analysis techniques. The results of the study indicate that the role of the community in Pakpak Bharat District in waste management is still less important. The community still lacks a role in reducing household waste sources, and has less role in handling waste in their respective environments. The obstacle factor in waste management is the lack of public awareness to reduce the source of waste by avoiding products with a lot of waste to reduce the volume of waste, not trying to choose products that can be refilled, not using shopping in place of packaging from sellers, not trying to choose packaging that can recycled, and less actively composting organic waste.

Airline Effective Indirect Greenhouse Gases Emissions Strategies

2020 ◽  
pp. 60-86
Keyword(s):  
Data Analysis ◽  
Greenhouse Gases ◽  
Energy Saving ◽  
Sustainable Energy ◽  
Decision Makers ◽  
Published Data ◽  
Analysis Techniques ◽  
Greenhouse Gases Emissions ◽  
Sustainability Reports ◽  
The Impact

This chapter reports the effective indirect GHG2 emissions strategies. To achieve this aim, the practices of 18 airlines from five regions were investigated. The data used in this chapter was the secondary published data in the annual sustainability reports. The data was retrieved from GRI (Global Reporting Initiatives) website. The special tailored data analysis techniques were used for this purpose. This chapter reported eight effective strategic patterns. The strategic patterns were four energy saving+ patterns, two sustainable energy+ patterns, one replacing facilities pattern, and one accreditation+ pattern. This chapter helps decision makers and academics alike, since the impact of effective actions on reducing the indirect GHG2 emissions of each pattern were reported.

Airline Effective Direct Greenhouse Gases Emissions Strategies

2020 ◽  
pp. 17-59
Keyword(s):  
Data Analysis ◽  
Design Patterns ◽  
Ghg Emissions ◽  
Decision Makers ◽  
Published Data ◽  
Ground Support ◽  
Greenhouse Gases Emissions ◽  
Flight Operations ◽  
Sustainability Reports ◽  
The Impact

This chapter reports the effective direct GHG emissions strategies. To achieve this aim, the flight and the ground support practices of 22 airlines from five regions were investigated. The data used in this chapter was secondary published data in the annual sustainability reports. The data was retrieved from GRI (Global Reporting Initiatives) website. The special tailored data analysis techniques were used for this purpose. The chapter reported eight effective flight operations strategic patterns and two effective ground operations strategic patterns. The strategic patterns of flight operations were two design+ patterns, three rout+ patterns, two operating+ patterns, and one fuel pattern. However, the effective ground operations strategies were two design+ patterns. This chapter helps decision makers and academics alike, since the impact of each action on reducing the direct GHG emissions was reported.

Integrating OLAP/SOLAP in E-Business Domains

2013 ◽  
pp. 196-211
Author(s):  
Oualid (Walid) Ben Ali ◽  
Samar Mouakket
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Data Analysis ◽  
United Arab Emirates ◽  
Decision Makers ◽  
Job Seekers ◽  
Job Market ◽  
Analysis Techniques ◽  
Analytical Processing ◽  
User Friendly

E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing (OLAP) and Spatial OLAP (SOLAP). Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis (non-spatial and spatial) and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates (UAE). The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE.

PENGARUH PERBAIKAN BERKESINAMBUNGAN TERHADAP KINERJA KARYAWAN (STUDI KASUS DI PT.RENTANG BUANA NIAGAMAKMUR TASIKMALAYA)

2019 ◽  
Vol 3 (1) ◽  
pp. 31-41
Author(s):  
Sri Sudiarti
Keyword(s):  
Data Analysis ◽  
Continuous Improvement ◽  
Research Method ◽  
Employee Performance ◽  
Sampling Technique ◽  
Positive Influence ◽  
Performance Criteria ◽  
Coefficient Of Determination ◽  
Analysis Techniques ◽  
Simple Regression

The objectives of this research are to know and to analyze about the effect of Continuous Improvement on the performance of employees at PT. Rentang Buana Niagamakmur (PT.RBN) Tasikmalaya. Research method which applied in this research is survey research method, while data collecting technique is done by through questionaire. Sampling technique applies sample is accidental sampling technique and the size sample is 55 respondents. Data analysis techniques used in the study is simple regression technique, analysis of the coefficient of determination  and t test. The results showed that the Continuous Improvement  including both criteria, including employee performance criteria, as well as Continuous Improvement  has a positive influence on employee performance of 76,4% in PT . Rentang Buana Niagamakmur (PT.RBN) Tasikmalaya.

INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

2020 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Siti Mariana Ulfa
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Teaching Practice ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Thai Students ◽  
The Impact ◽  
Collection Methods ◽  
Recording Techniques

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 

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