A review of the factors influencing the cost of CUBIC Space Frame nodal connections

2021 ◽  
pp. 115-121
Author(s):  
L.A. Kubik ◽  
Sulojana Shanmuganathan
Keyword(s):  
Space Frame ◽  
Factors Influencing ◽  
The Cost

scholarly journals EFEKTIFITASPELAYANANPUBLIK DIKECAMATAN SAMARINDA KOTA DI SAMARINDA

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Ahmad Jubaidi
Keyword(s):  
Data Collection ◽  
Service Delivery ◽  
Public Service ◽  
Research Method ◽  
Public Awareness ◽  
Field Research ◽  
Civil Registration ◽  
A Value ◽  
Factors Influencing ◽  
The Cost

The purpose of this study is to determine the effectiveness of KK, KTP, and AK services in Samarinda Kota sub district and its factors influencing the effectiveness of KK, KTP, AKservices.The research used field research method which gives an overview on the effectiveness of KK, KTP, and AK services in Samarinda Kota sub district. Data collection techniques use observation techniques, interviews, and media questionnaires by selecting informants who play a role and are involved technically and functionally in service delivery to the community. The data obtained are then analyzed qualitatively and supported by quantitative data.The results showed that service implementation in Samarinda Kota sub-district, especially in the field of population administration and civil registration is done in accordance with existing mechanism and regulation which have been determined by seeing some service indicator such as simplicity is in very safe category with 6.67% and certainty of service procedure and tariff cost are in accordance with the value of 88.33% and 70% respectively, the security and convenience of facilities and infrastructure are in safe and comfortable category with 65% and 73.33% respectively, openness about the ease of obtaining information and provisions services in the categories easy and explained if requested with the value of 71.67% and 63.33% respectively, economical about the cost of KK rates, ID cards, AK category Rp 10,000 - Rp 15,000, equitable fairness with a value of 60%, the timeliness is in category 1 - 2 days, and the efficiency is an exact category with a value of 80%.  And the factors that affect the service is the resources apparatus, facilities and infrastructure, and public awareness. Keywords: Effectiveness, Public Service

Sustainable Consumption and Green Marketing in Developing Countries

2019 ◽  
pp. 1523-1544
Author(s):  
Abiodun Elijah Obayelu
Keyword(s):  
Developing Countries ◽  
Sustainable Consumption ◽  
Green Marketing ◽  
Purchase Behavior ◽  
Contemporary Society ◽  
Factors Influencing ◽  
The Cost ◽  
Insight Into ◽  
Structured Literature Review

This chapter provides an insight into why Green Marketing (GM) and Sustainable Consumption (SC) of green products are subject of research and discussion in contemporary society. It analyzed the extent of GM in developing countries using cases of Nigeria and Kenya, factors influencing GM, the benefits of GM on the environment and firms, and the challenges. The study is both exploratory with the use of structured literature review of publications in peer reviewed academic journals on GM and SC, and empirical in nature. The findings on respondents rating of factors influencing green purchase behavior showed that concern for health and environment was considered as the most important in Nigeria, while in Kenya it was social awareness and value. For an effective GM and SC, government at all levels has a role of creating awareness to boost green knowledge through educative campaign programs and enforcing green agenda. Government can make regulations relating to GM and ensure SC by lowering the cost when compared to the conventional marketing

Factors influencing the cost of care and admission to long-term care for people with dementia in Ireland

2019 ◽  
pp. 1-9
Author(s):  
Sharon Walsh ◽  
Maria Pertl ◽  
Paddy Gillespie ◽  
Brian Lawlor ◽  
Sabina Brennan ◽  
...  
Keyword(s):  
Long Term Care ◽  
Cost Of Care ◽  
Term Care ◽  
Factors Influencing ◽  
People With Dementia ◽  
The Cost

A hybrid framework to model factors affecting construction labour productivity

2019 ◽  
Vol 24 (3) ◽  
pp. 630-654 ◽  
Author(s):  
Majid Parchami Jalal ◽  
Shahab Shoar
Keyword(s):  
Construction Industry ◽  
Labour Productivity ◽  
Content Type ◽  
Factors Affecting ◽  
Schedule Delay ◽  
Factors Influencing ◽  
Hybrid Framework ◽  
Novel Method ◽  
The Cost ◽  
The Impact

Purpose This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it. Design/methodology/approach Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry. Findings The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented. Originality/value The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

Bully Pulpit? Twitter Users’ Engagement With President Trump’s Tweets

2020 ◽  
pp. 089443932094657
Author(s):  
Jeffrey Lazarus ◽  
Judd R. Thornton
Keyword(s):  
Political Communication ◽  
Political Activity ◽  
The Political ◽  
Political Elites ◽  
Political Candidates ◽  
Substantive Content ◽  
Factors Influencing ◽  
Twitter Users ◽  
The Cost ◽  
High Salience

With nearly all political candidates, officeholders, and organizations using the platform, Twitter has become an important venue for political communication and engagement. In particular, Twitter lowers the cost of entry for political activity, with the result that millions of people follow and interact with political elites online. However, most studies of the political uses of twitter focus on the substance and content of tweets themselves. In contrast, we ask what influences the rates at which users engage with the tweets posted by political elites. To do this, we obtained the number of likes and retweets for each of President Trump’s tweets over a 14-month time span. Using these data, we find first that engagement varies with Trump’s net approval in the broader electorate. Second, we find that engagement varies with the substantive content of the tweet: negatively toned tweets and tweets involving foreign policy receive higher levels of engagement than other tweets. Third, we find that high-salience events—for example, the recusal of Jeff Sessions—lead to more engagement. Fourth, we find some evidence that engagement levels vary with the timing of the electoral cycle. Overall, we argue that the factors influencing Twitter engagement are in some ways similar to the factors influencing political activity more broadly, though it is possible that the fact that Trump’s use of Twitter is unique among politicians drives some of our results.

Factors influencing the cost of chronic low back injuries: An analysis of data from independent medical examinations

1996 ◽  
Vol 6 (1) ◽  
pp. 5-16 ◽  
Author(s):  
William A. Earman ◽  
Gunnar B. Andersson ◽  
Frank Leavitt ◽  
Thomas W. McNeill ◽  
I. Harun Durudogan ◽  
...  
Keyword(s):  
Low Back ◽  
Back Injuries ◽  
Factors Influencing ◽  
Low Back Injuries ◽  
Independent Medical Examinations ◽  
The Cost ◽  
Medical Examinations
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