INFLUENCING FACTORS IN THE DECISION-MAKING PROCESS OF ENERGY SAVING TECHNOLOGIES IN HORTICULTURE

2012 ◽  
pp. 99-105
Author(s):  
J. Flenker ◽  
W. Bokelmann ◽  
K. Geidel ◽  
D. Lange
Keyword(s):  
Decision Making ◽  
Energy Saving ◽  
Influencing Factors ◽  
Decision Making Process

Research on Agent-Based Energy Saving System of Civil

2013 ◽  
Vol 816-817 ◽  
pp. 1220-1224
Author(s):  
Shou Cai Ma
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Energy Saving ◽  
Decision Making Process ◽  
Agent Based ◽  
Adjustment Mechanism ◽  
Building Systems ◽  
System Components ◽  
System Energy ◽  
The City

This paper deeply analyzes the urban civil system, energy-saving decision-making mechanism, the system components and the related energy-saving anti-adjustment mechanism based on the proposed energy-saving urban civil system's basis. It also presents the classification decision-making and decision-making process for the civil on various components on building systems in decision-making energy-saving features on the system proposed civil heat, urban heating network and the energy saving civil monomer decision making. It also builds the decision support for the city civil agent-based energy-saving system, realizing the basic institutions of the agent to propose the energy-saving urban civil decision.

TO STANDARDISE OR TO PATENT? DEVELOPMENT OF A DECISION MAKING TOOL AND RECOMMENDATIONS FOR YOUNG COMPANIES

2016 ◽  
Vol 20 (08) ◽  
pp. 1640020 ◽  
Author(s):  
NIZAR ABDELKAFI ◽  
SERGIY MAKHOTIN ◽  
MARINA THUNS ◽  
ANNA POHLE ◽  
KNUT BLIND
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Knowledge Diffusion ◽  
Decision Making Process ◽  
Need Support ◽  
Knowledge Protection ◽  
Main Factors ◽  
Intellectual Properties ◽  
Technology Resources ◽  
Decision Making Tool

Young companies need support concerning decisions related to intellectual properties. Entrepreneurs can resort to a menu of strategies, not only patenting. First, we explore the literature on standardisation and patenting and relate it to entrepreneurship to identify the internal and external influencing factors as well as the motives and risks related to decision making. Then, we conduct five case studies to explore these influencing factors, while trying to reconstruct the decision making process. We find five main factors: technology, resources, knowledge protection vs. knowledge diffusion, need for partnerships, and pace of innovation. Companies should use patents when their technology is patentable and knowledge protection is perceived essential. Standardisation is suitable when knowledge diffusion is more important than protection, and companies look for establishing new partnerships. These insights are integrated into a decision tree that provides guidance to young entrepreneurs to make an informed decision regarding intellectual properties.

Factors influencing cruise vacations: the impact of online reviews and environmental friendliness

2019 ◽  
Vol 74 (3) ◽  
pp. 400-415 ◽  
Author(s):  
Frida Bahja ◽  
Cihan Cobanoglu ◽  
Katerina Berezina ◽  
Carolin Lusby
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Online Reviews ◽  
Influential Factors ◽  
Decision Making Process ◽  
Relative Importance ◽  
Environmental Friendliness ◽  
Content Type ◽  
Cruise Line ◽  
The Impact

Purpose The purpose of the study was to discover the relative importance of influencing factors toward booking a cruise vacation. Based on a review of literature, this study focused on exploring the relative importance of six influential factors in cruise customers’ decision-making process: cruise vacation price, cruise duration, distance from the cruise port, itineraries, environmental friendliness of cruise line and cruise online reviews. Design/methodology/approach The complexity of cruise customers’ decision-making process for involving these six attributes with several levels was examined with choice-based conjoint (CBC) analysis. CBC was selected due to its realistic approach to purchase decisions, in the form of trade-offs. The online survey collected data anonymously. The survey was distributed through Amazon’s Mechanical Turk (Mturk) platform. The sample consisted of 450 cruise customers, who had experienced a cruise vacation before. Findings The findings of the study showed that online reviews were the most influential attribute for cruise customers in their cruise decision, followed very closely by the environmental friendliness of the cruise line. The next influential factor was the duration of the cruise vacation, which was followed by distance from the cruise port, cruise itinerary and cruise vacation price. The best and the worst cruise vacation profiles were generated based on the CBC analysis. Practical implications The findings of this study provide some insights with regard to cruise customers’ importance about influencing factors when deciding on a cruise vacation. Originality/value The research provides insides in understanding the influential factors at the last stage of cruise customers’ decision-making process. In this regard, cruise industry can pay more attention in promoting the attributes of a cruise offer as influential factors. Additionally, the findings of this study contribute to the general knowledge about cruise customers’ decision-making process.

scholarly journals Internationalization of Higher Education: The influencing factors in the Decision Making Process of International Students at UFPI

2021 ◽  
Vol 8 (3) ◽  
pp. 427-436
Author(s):  
Karen da Rocha Oliveira ◽  
Alexandre Rabêlo Neto ◽  
Antônio Vinícius Oliveira Ferreira ◽  
Maria de Lourdes de Melo Salmito Mendes ◽  
Marcelo de Jesus Rodrigues da Nóbrega ◽  
...  
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
International Students ◽  
Influencing Factors ◽  
Internationalization Of Higher Education ◽  
Decision Making Process

scholarly journals Decision-making Management of Consumer Behavior Based on Component Regression Model

2019 ◽  
pp. 1-10
Author(s):  
Mei-Er Zhuang ◽  
Wen-Tsao Pan ◽  
Jia-Yan Zhou
Keyword(s):  
Decision Making ◽  
Regression Model ◽  
Influencing Factors ◽  
Decision Making Process ◽  
Compromise Effect ◽  
Consumer Decision Making ◽  
Marketing Practice ◽  
Personality Psychology ◽  
Standard Linear ◽  
Study Component

In this study component regression model is used as a research method to explore the influencing factors of compromise effect in decision-making management of consumers, and new hypotheses are proposed by referring to three important concepts of personality psychology. The conclusion can be drawn that professional level, cognitive needs, and trust tendencies have significant impacts on the compromise effect, which is the focus and innovation of this paper. The study found that the compromise effect is more likely to occur in those who have a lower level of expertise, cognitive need or higher level of trust tendency. The study also found that some result will be partially overestimated while some will be underestimated if standard linear regression is applied in analyzing the decision-making management of consumers. Based on the component regression model, the influencing factors of the consumer decision-making process are analyzed from a more accurate and detailed perspective, and relevant suggestions for marketing practice have been provided according to the research results.

Investments in the Optimization of Energy Efficiency - A Comparative Study

2016 ◽  
Vol 856 ◽  
pp. 3-10
Author(s):  
Markus Brandmeier ◽  
Anton Krinner ◽  
Jörg Franke
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Comparative Study ◽  
Energy Saving ◽  
Investment Policy ◽  
Decision Making Process ◽  
Investment Behavior ◽  
Production Factors ◽  
Competitive Factor ◽  
Production Facilities

Resource and energy efficiency of production facilities is a crucial competitive factor for industry. Due to increasing cost pressure and competition on the market, identifying and unleashing energy saving potentials as well as avoiding inefficiency is inevitable. However, for investment policy, the increase of energy efficiency is not always given highest priority. In this study we consider industry’s investment behavior for energy efficiency in relation to alternative production factors. For this purpose, this paper analyzes potential optimization issues and criteria that are taken into consideration for the decision making process for investments.

AAC Decision-Making and Mobile Technology: Points to Ponder

2014 ◽  
Vol 23 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Mary Ann Abbott ◽  
Debby McBride
Keyword(s):  
Decision Making ◽  
Mobile Technology ◽  
Communication System ◽  
Augmentative And Alternative Communication ◽  
Evaluation Process ◽  
Decision Making Process ◽  
Alternative Communication ◽  
Ipod Touch ◽  
Feature Match

The purpose of this article is to outline a decision-making process and highlight which portions of the augmentative and alternative communication (AAC) evaluation process deserve special attention when deciding which features are required for a communication system in order to provide optimal benefit for the user. The clinician then will be able to use a feature-match approach as part of the decision-making process to determine whether mobile technology or a dedicated device is the best choice for communication. The term mobile technology will be used to describe off-the-shelf, commercially available, tablet-style devices like an iPhone®, iPod Touch®, iPad®, and Android® or Windows® tablet.

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