Evaluation of factors affecting the decision to adopt blockchain technology: A logistics company case study using Fuzzy DEMATEL

2020 ◽  
Vol 39 (5) ◽  
pp. 6279-6291
Author(s):  
Ayça Maden ◽  
Emre Alptekin
Keyword(s):  
Financial Services ◽  
Technology Implementation ◽  
Fuzzy Decision Making ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
Real Time Processing ◽  
Factors Affecting ◽  
Blockchain Technology ◽  
Logistics Company ◽  
Reducing Costs

Blockchain practices have been attracting attention in industries other than financial services, since blockchain is not only an information technology, but also an institutional technology owing to its new currency economics and distributed structures. Today, supply chains, power, and food/agriculture have emerged as promising areas in terms of their potential to incorporate blockchain technology for improving processes and reducing costs. Logistics corporations, especially, have been concentrating on developing efficiency in integrated data, fleet management, and communication issues, to achieve cost advantages. Experts from a well-known logistics company in Turkey contributed to our study by helping to assess critical factors for successful blockchain technology implementation. Our research topic included determining whether blockchain technology is suitable for this company. Fuzzy decision-making trial and evaluation laboratory (DEMATEL) was used to determine and evaluate the critical factors to encourage blockchain technology adoption, based on the company’s requirements. For the company experts, the factors affecting the decision to adopt blockchain technology were, in order of priority: cryptocurrency, instant money transfer, privacy, real time processing, smart contract, security, authentication, transparency, immutability, traceability, distributed ledger, reduced delays, and peer-to-peer networks.

Benchmarking the logistics management implementation using Delphi and fuzzy DEMATEL

2018 ◽  
Vol 25 (6) ◽  
pp. 1795-1828 ◽  
Author(s):  
Sachin Kumar Mangla ◽  
Sunil Luthra ◽  
Suresh Kumar Jakhar ◽  
Mohit Tyagi ◽  
Balkrishna Eknath Narkhede
Keyword(s):  
Logistics Management ◽  
Fuzzy Decision Making ◽  
Importance Rating ◽  
Successful Implementation ◽  
Information Communication ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Logistics Company ◽  
Technological Developments ◽  
Global Concern

Purpose From last few decades, logistics management (LM) constitutes a global concern among organization’s supply chain (SC) to improve their business effectiveness. The purpose of this paper is to uncover and analyze the critical factors (CFs) related to the implementation of effective LM concept and benchmark the SC performance. Design/methodology/approach The most common (16) CFs were identified and selected through literature and use of the Delphi method. Subsequently, the selected most common CFs were analyzed to distinguish their causal relations using the fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) technique under unclear surroundings. A case example of Indian Logistics Company is also discussed to reveal the practical applicability of the research. Findings Provision of the effective information communication and technological developments in the system and Management dedication, support and involvement CFs are found to have the top most influences in the effective implementation of LM. This paper also groups the CFs into cause and effect relationship which provides valuable insights for analyzing the factors in successful implementation of LM. Practical implications This work attempts to understand the different CFs, their relative position and the importance rating in the system, due to which, managers can differentiate the factor which greatly affects the concepts of implementing LM, and thus, improvements can be made accordingly. Originality/value First, this work offers 16 CFs to LM implementation from a SC scenario. Second, in the context of contributing to the theory, the combined Delphi and fuzzy DEMATEL-based model is provided that helps in managing the logistic related issues effectively.

scholarly journals Critical Dimensions of Blockchain Technology Implementation in the Healthcare Industry: An Integrated Systems Management Approach

2021 ◽  
Vol 13 (9) ◽  
pp. 5269
Author(s):  
Satyabrata Aich ◽  
Sushanta Tripathy ◽  
Moon-Il Joo ◽  
Hee-Cheol Kim
Keyword(s):  
Technology Implementation ◽  
Healthcare Sector ◽  
Management Approach ◽  
Successful Implementation ◽  
Healthcare Industry ◽  
Critical Factors ◽  
Privacy And Security ◽  
Interpretive Structural Modeling ◽  
Critical Dimensions ◽  
Blockchain Technology

In the digital era, almost every system is connected to a digital platform to enhance efficiency. Although life is thus improved, security issues remain important, especially in the healthcare sector. The privacy and security of healthcare records is paramount; data leakage is socially unacceptable. Therefore, technology that protects data but does not compromise efficiency is essential. Blockchain technology has gained increasing attention as it ensures transparency, trust, privacy, and security. However, the critical factors affecting efficiency require further study. Here, we define the critical factors that affect blockchain implementation in the healthcare industry. We extracted such factors from the literature and from experts, then used interpretive structural modeling to define the interrelationships among these factors and classify them according to driving and dependence forces. This identified key drivers of the desired objectives. Regulatory clarity and governance (F2), immature technology (F3), high investment cost (F6), blockchain developers (F9), and trust among stakeholders (F12) are key factors to consider when seeking to implement blockchain technology in healthcare. Our analysis will allow managers to understand the requirements for successful implementation.

scholarly journals Interactions among Cognitive Factors Affecting Unsafe Behavior: Integrative Fuzzy DEMATEL ISM Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Mahnaz Shakerian ◽  
Alireza Choobineh ◽  
Mehdi Jahangiri ◽  
Moslem Alimohammadlou ◽  
Mohammad Nami ◽  
...  
Keyword(s):  
Threshold Value ◽  
Cognitive Factors ◽  
Fuzzy Decision Making ◽  
Industrial Accidents ◽  
Interpretive Structural Modeling ◽  
Fuzzy Dematel ◽  
Factors Affecting ◽  
Unsafe Behavior ◽  
Unsafe Behaviors ◽  
Human Failure

The prevention of industrial accidents is not completely practical by implementing safety programs unless focusing on protecting vulnerable workers. The unsafe behavior cognitive factors (UBCFs) are essential determinants contributing to human failure. This study aimed at eliciting the most important UBCFs, along with investigating hierarchical cause-effect interactions among them. A qualitative approach using metasynthesis was utilized to extract all essential UBCFs among industrial workplaces. Afterward, the relationships between UBCFs were recognized using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method and rated by an expert panel. Also, a hierarchical model was developed based on the final matrix of DEMATEL by employing the interpretive structural modeling (ISM) method. Ten criteria were extracted as UBCFs through the metasynthesis method. The threshold value was set as 0.175 in DEMATEL following experts’ ideas. Inadequacy of persons’ resilience and habitual rule ignorance were recognized as the most important predictive UBCFs. The developed model was tested through a case study in a petrochemical company. The results of the study can be used to help industrial managers and HSE practitioners to consider workers’ capabilities either cognitively or physically when designing the required tasks to reduce unsafe behaviors. Also, the findings of the study are applicable for other researchers to prioritize the most important factors affecting unsafe behavior in different workplaces.

scholarly journals A Review of Blockchain Technology Implementation in Shipping Industry

Pomorstvo ◽  
2019 ◽  
Vol 33 (2) ◽  
pp. 140-148 ◽  
Author(s):  
Marija Jović ◽  
Marko Filipović ◽  
Edvard Tijan ◽  
Mlaen Jardas
Keyword(s):  
Internet Of Things ◽  
Financial Services ◽  
Technology Implementation ◽  
Shipping Industry ◽  
Technology Usage ◽  
Comprehensive Review ◽  
Blockchain Technology

This article presents a comprehensive review of the current and rising trends of blockchain technology usage in shipping industry. The definition and features of blockchain technology are provided, as well as the potential usage of blockchain technology in various areas (financial services, Internet of Things, medicine, government, etc.), in order to better understand its complexity and application. Furthermore, the major challenges of blockchain technology are shown, and the most prominent examples of blockchain applications in shipping industry are provided. The application and advantages of blockchain technology in seaports are demonstrated through several examples.

scholarly journals Identifying the Critical Factors of Sustainable Manufacturing Using the Fuzzy DEMATEL Method

2020 ◽  
Vol 5 (2) ◽  
pp. 391-404
Author(s):  
Luwei Jiang ◽  
Tenghao Zhang ◽  
Yanfei Feng
Keyword(s):  
Evaluation System ◽  
Sustainable Manufacturing ◽  
Ecological Factors ◽  
Ecological Niches ◽  
Fuzzy Decision Making ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
Industrial Economics ◽  
Key Indicators ◽  
The Evaluation System

AbstractThe burgeoning trend of globalization gives rise to the formation of the manufacturing ecosystem. This study aims to identify the critical factors of sustainable manufacturing for countries and regions across the globe finding their unique ecological niches. From the perspective of the ecological niche, we develop an evaluation system of the manufacturing niche. By using the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, the critical factors, and its causal relationships of the manufacturing niche can be quantified and visualized. The results indicate that: (1) the evaluation system of the manufacturing niche is characterized by complexity and interactivity; (2) technical factors have the strongest impact on the evaluation system, among which R&D investment intensity and the input-output ratio of new products are key indicators; and (3) technical and policy factors are decisive for the system and actively influence economic and ecological factors. Theoretically, it is beneficial to augment the niche theory and industrial economics. Practically, it helps to create a win-win situation to facilitate governments to enact suitable industrial strategies and assist the manufacturing toward a more sustainable trajectory.

scholarly journals Exploring the Critical Factors, the Online Learning Continuance Usage during COVID-19 Pandemic

2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Family Support ◽  
Technology Acceptance Model ◽  
Online Teaching ◽  
Ease Of Use ◽  
Critical Factors ◽  
Factors Affecting ◽  
E Learning ◽  
Acceptance Model

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.

Critical factors affecting the planning and implementation of major projects

1993 ◽  
Vol 14 (5) ◽  
pp. 319-337 ◽  
Author(s):  
John M. Bryson ◽  
Philip Bromiley
Keyword(s):  
Critical Factors ◽  
Factors Affecting
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