scholarly journals Will the Thai ABC Car Owners, Buy a Smart ABC Car? a Case Study in Bangkok Metropolis

2018 ◽  
Vol 7 (3.30) ◽  
pp. 202
Author(s):  
Keerati Sittichainarong ◽  
Aaron Loh ◽  
Preecha Methavasaraphak ◽  
John Barnes
Keyword(s):  
Automobile Industry ◽  
Autonomous Vehicles ◽  
New Technology ◽  
Influential Factors ◽  
Self Identity ◽  
Factors Affecting ◽  
Intent To Purchase ◽  
Intention To Purchase ◽  
Near Future

Thailand is the biggest manufacturer of trucks and cars outside of Japan and China in Asia. Many had reported that "smart" technology especially that which leads towards driverless or autonomous vehicles will be the most important single development that will affect the automobile industry both domestically and globally.  Hence this research is therefore on the readiness of Thai car owners to adopt the new technology and the intention to purchase a smart car in the near future. Specifically, it is a case study on the influential factors affecting the intent to purchase a smart car by owners of a top Japanese brand in Bangkok. A questionnaire survey was conducted on 385 existing car owners of the Japanese brand under consideration in metropolitan areas of Bangkok and the data returned analyzed by multiple linear regression. The outcome of the research pointed towards ‘Self-identity” and ‘Emotional connection’ as the most influential factors towards the intent to purchase a smart car.  

scholarly journals CO-CREATION WORKSHOP FOR INTERFACE DESIGN - DESIGNING INNOVATIVE HMI FOR AUTOMATED VEHICLES

2019 ◽  
Vol 7 (Especial) ◽  
pp. 24
Author(s):  
Manuela Quaresma ◽  
Isabela Motta
Keyword(s):  
Interface Design ◽  
Autonomous Vehicles ◽  
New Technology ◽  
Information Design ◽  
Innovative Product ◽  
Human Machine Interfaces ◽  
Wide Range ◽  
Design Students ◽  
Group Brainstorming

 The increasing growth in the development of new technology is changing the way users interact with products. Thus, designers must re-think the human-machine interfaces (HMI) for communicating information regularly. Co-creation – the process of joint creation of users and designers – is an approach to product and experience development that can substantially benefit the generation of innovative product proposals. The present paper aims to assess the feasibility of co-creation workshops for the development of proposals for interfaces of Artificial Intelligence derived products through a case study on interfaces for autonomous vehicles. For this purpose, two sessions of co-creation workshops using group brainstorming techniques were conducted with undergraduate and graduate Design students and professors, who are specialists in interaction and information design. The results showed that the interfaces proposed by the designers were communicated information in a wide range of ways, making use of existing technologies to present messages in an innovative manner, meeting autonomous vehicles’ users’ needs.

Using Fuzzy Preference Relations to Predict the Success Possibility of Assistive Input Devices for Disabled Implementation

2013 ◽  
Vol 647 ◽  
pp. 905-911 ◽  
Author(s):  
Ching Tien Shih ◽  
Shu Chen Hsu ◽  
Ching Hsiang Shih
Keyword(s):  
Influential Factors ◽  
Decision Makers ◽  
Factors Affecting ◽  
Input Devices ◽  
Preference Relations ◽  
Priority Weights ◽  
Fuzzy Preference Relations ◽  
Remedial Actions ◽  
Fuzzy Preference

This study proposes an analytic hierarchical prediction model based on consistent fuzzy preference relations to help the organizations become aware of the essential factors affecting the implementation Assistive Input Devices (AID). Pairwise comparisons are used to determine the priority weights of influential factors and the ratings of success or failure outcomes amongst decision makers. The subjectivity and vagueness in the prediction procedures are dealt with using linguistic terms quantified in an interval scale [0, 1]. Then predicted success/failure values are obtained to enable organizations to decide whether to initiate knowledge management, inhibit adoption or take remedial actions to increase the possibility of successful AID for disabled. This proposed approach is demonstrated with a real case study involving seven influential factors assessed by eleven evaluators solicited from a special school located in Taiwan.

Using Fuzzy Preference Relations to Predict the Success Possibility of Implementing the Oceanographic & Meteorologic Integration Orchestrator

2011 ◽  
Vol 52-54 ◽  
pp. 1812-1817
Author(s):  
Wen Ting Chen ◽  
Ching Tien Shih ◽  
J.C. Tsai
Keyword(s):  
Influential Factors ◽  
Decision Makers ◽  
Linguistic Terms ◽  
Factors Affecting ◽  
Preference Relations ◽  
Priority Weights ◽  
Fuzzy Preference Relations ◽  
Remedial Actions ◽  
Fuzzy Preference

This study proposes an analytic hierarchical prediction model based on consistent fuzzy preference relations to help the organizations become aware of the essential factors affecting the implementation oceanographic & meteorologic Integration Orchestrator. Pairwise comparisons are used to determine the priority weights of influential factors and the ratings of success or failure outcomes amongst decision makers. The subjectivity and vagueness in the prediction procedures are dealt with using linguistic terms quantified in an interval scale [0,1]. Then predicted success/failure values are obtained to enable organizations to decide whether to initiate knowledge management, inhibit adoption or take remedial actions to increase the possibility of successful oceanographic & meteorologic initiatives. This proposed approach is demonstrated with a real case study involving seven influential factors assessed by eleven evaluators solicited from a semiconductor engineering incorporation located in Taiwan.

scholarly journals Factors Affecting Knowledge Commercialization in University, A Case Study

2020 ◽  
Vol 40 (02) ◽  
pp. 421-430
Author(s):  
Ali Biranvand
Keyword(s):  
Success Rate ◽  
Influential Factors ◽  
Decision Makers ◽  
Third Mission ◽  
Factors Affecting ◽  
Research Results ◽  
Economic Role ◽  
The Third ◽  
Factors Influencing

Commercialisation is accounted as the third mission of the universities; it is the idea expressing that the universities play a socio-economic role. The current research paper attempts to identify and rank the factors influencing the process of commercializing the research results of Payam-e-Noor University (PNU) to recognise the extent to which the identified factors are influential to pave the way for offering a structural-interpretational model of commercialisation according to the present study’s findings. The delineation of a structural-interpretational model based on the investigation of the factors influencing the commercialisation of the researches’ results contributes to the managers and decision-makers in the area of knowledge commercialisation to, meanwhile paying attention to the existent factors offered in the influential and basic levels, set the ground for the corroboration and improvement of the statuses of the existent influential factors in higher levels of the model thereby to bring about an increase in the success rate of the commercialisation of the studies’ results.

scholarly journals Application of Artificial Intelligence in Tesla- A Case Study

2021 ◽  
pp. 205-218
Author(s):  
Divya Kumari ◽  
Subrahmanya Bhat
Keyword(s):  
Artificial Intelligence ◽  
Automobile Industry ◽  
Financial Services ◽  
Autonomous Vehicles ◽  
Oil And Gas ◽  
Route Planning ◽  
Case Study Report ◽  
Deep Layers ◽  
Car Park

Background/Purpose: Artificial intelligence algorithms are like humans, performing a task repeatedly, each time changing it slightly to maximize the result. A neural network is made up of several deep layers that allow for learning. Financial services, ICT, life science, oil and gas, retail, automotive, industrial healthcare, and chemicals and manufacturing sectors are among the industries that employ these algorithms. The electric motor is a new concept, and the automobile industry is now undergoing intensive research to determine whether it is practicable and financially viable. There are already some first movers, such as Tesla, who have successfully established their model and are moving forward. Tesla is forcing the auto industry to adapt quickly. Tesla introduced Autopilot driver capability for its Model S vehicle. Tesla Autopilot is a suite of sophisticated driver-assist technologies that include traffic adjustment, congested roads navigation system, autopilot car-parks, computer-controlled road rules, semi-autonomous route planning on major roadways, and the ability to summon the vehicle out of a designated car-park. This article provides a comprehensive analysis of Tesla Company and Innovations of Autopilot Vehicles. Objective: This case study report addresses the growth of Tesla Company in the field of Autonomous Vehicles. Design/Methodology/Approach: The knowledge for this case study of Tesla was gathered from various academic articles, online articles, and the SWOT framework. Findings/Result: Based on the research, this paper discusses the technological histories, Autopilot driving features, safety concerns, financial plans, market challenges, different models, and how Tesla Inc. is accelerating the world's movement in multiple initiatives such as the contribution of the global economic system, study in the Artificial Intelligence and Machine Learning area. Originality/Value: This paper study provides a brief overview of Tesla Inc. given the various data collected, and information about Tesla Autopilot vehicles using Artificial Intelligence based Innovations in Entrepreneurial Oriented Cars. Paper type: A Research Case study paper - focuses on Application of Artificial Intelligence in Tesla Autopilot Vehicles and growth & Journey of the Tesla Inc. Company.

Modest wear e-commerce: examining online purchase intent in Indonesia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eli Sumarliah ◽  
Sher Zaman Khan ◽  
Rafi Ullah Khan
Keyword(s):  
Purchase Intention ◽  
Perceived Value ◽  
Influential Factors ◽  
Purchase Intent ◽  
Content Type ◽  
Factors Affecting ◽  
Online Purchase ◽  
Intent To Purchase ◽  
Item Questionnaire ◽  
Online Channel

Purpose The study has three primary purposes, i.e. (1) to examine the determinants influencing customers’ online purchase intent for modest wear; (2) to measure the effects of electronic innovativeness, fashion innovativeness, perceived value, and trust on the intent to buy modest wear via the Internet; (3) to inspect how the factor “trust” can affect the “perceived value” of modest wear purchase through e-commerce; and (4) to explore the roles of “attitude” and “religiosity” in influencing customers’ intent to purchase modest wear online. Design/methodology/approach 561 Muslim consumers were reviewed in the study. According to the conceptual framework established through a literature review on the constructs suggested, measurement items were modified to the study’s perspective, and a 31-item questionnaire was applied. A regression examination of potential variables was applied using ADANCO version 2.0.1 software and the PLS-SEM. Findings The findings signify that the leading factors affecting online modest wear purchase intent are fashion innovativeness, electronic innovativeness, perceived value, trust, attitude, and religiosity. Meanwhile, trust is the predictor of perceived value, and religiosity is the predictor of attitude. Originality/value There are only two notable studies that focus on modest fashion purchase intention in the online channel with examining only three influential factors. The study is an initial effort to examine new and more complete leading factors affecting online modest wear purchase intent including fashion innovativeness, electronic innovativeness, perceived value, trust, attitude, and religiosity.

scholarly journals Influential Factors on Customers' Satisfaction of Rural ICT Offices: A Case Study of Lordegan Township in Iran

2019 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Bijan Khalil-Moghaddam
Keyword(s):  
Development Process ◽  
Sampling Method ◽  
Influential Factors ◽  
Relative Advantage ◽  
Survey Method ◽  
Factors Affecting ◽  
Regression Techniques ◽  
The One ◽  
Cluster Random Sampling

Rural ICT offices (Centers) are one of the initiatives of ICT department in Iran for fulfillment of the rural development process via ICT. Success and effectiveness of these offices depend on the customers' satisfaction regarding the received services. This paper as the one of the first studies in the field of "customers' satisfaction of rural ICT offices" in Iran and the first one in Chahar Mahal va Bakhtiari Province attempts to identify the factors affecting customer satisfaction of ICT offices services in Lordegan Township as a part of Chahar Mahal va Bakhtiari Province. The sample included 39 rural ICT offices (As sample unit) and 272 individuals (As observational unit), who were selected by proportional cluster random sampling method. Survey method was used, and the data was analyzed by correlation and multiple regression techniques. Based on the regression models related to the young and middle-aged groups, 3 variables showed to have significant impact on customers' satisfaction of rural ICT offices in Lordegan Township (Complexity, relative advantage, and educational level) and about the old group, it is deduced that the variable of compatibility has a significant impact on the dependent variable. According to the results, through removing the weaknesses of ICT offices the rural satisfaction of ICT offices can be reinforced.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

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