scholarly journals Knowledge Transfer on Digital Transformation: An Analysis of the Olive Landscape in Andalusia, Spain

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 63
Author(s):  
Liliana Reina-Usuga ◽  
Carlos Parra-López ◽  
Carmen Carmona-Torres
Keyword(s):  
Social Network ◽  
Knowledge Transfer ◽  
Global Economy ◽  
Innovation System ◽  
Digital Transformation ◽  
Cooperative Groups ◽  
Analytic Hierarchy ◽  
Rural Landscapes ◽  
The Social ◽  
Hierarchy Process

The global economy, and agriculture, in particular, faces significant challenges and transformation pressures. A major challenge, and opportunity, is the transformation towards digital agriculture or agriculture 4.0, where knowledge transfer (KT) has an important role to play not only in ensuring that digital innovations reach end-users, but also that these innovations contribute to development in rural landscapes. This paper analyses the role of KT in the framework of digital transformation (DT) in the Andalusian olive landscape. Thus, from the perspective of knowledge-generating agents, the main knowledge emitting and receiving actors in the DT are identified by using Social Network Analysis techniques (SNA). Subsequently, the performance of the Technological Innovation System (TIS) in KT is evaluated by using the multi-criteria Analytic Hierarchy Process (AHP) method. The results suggest that the knowledge-generating agents, the knowledge transfer actors, and the scientific and dissemination media actors are the main knowledge emitters and highlight their role as cohesive actors of the social network. The main knowledge receivers are olive growers, cooperatives and non-cooperative groups. The results also indicate that the global performance of the TIS in the KT function is medium/low. Furthermore, in the KT sub-functions where the TIS in DT performs best is the quality of the transfer processes of DT, and where it performs worst is the sufficiency of spaces for KT.

scholarly journals Shaping the Safety Culture of High Reliability Organizations through Digital Transformation

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4721
Author(s):  
Marek Jabłoński ◽  
Adam Jabłoński
Keyword(s):  
Safety Culture ◽  
Global Economy ◽  
Technological Progress ◽  
High Reliability ◽  
Digital Transformation ◽  
High Reliability Organizations ◽  
Analytic Hierarchy ◽  
Building Safety ◽  
Hierarchy Process

The aim of the article is to present key mechanisms for shaping the safety culture of high reliability organizations through digital transformation, which is now a key challenge for the entire global economy. It is particularly important in processes conducted by so-called high reliability organizations. From this cognitive perspective, it is important to define the place and role of digital transformation in shaping the safety culture of high reliability organizations. The comparison of the issues of the safety culture and digital transformation of high reliability organizations seems to be an important cognitive aspect resulting from technological progress in the area of the digital economy. The socio-technological system in which high reliability organizations exist is organized in such a way that all technical, operational and organizational aspects, including the participation of many entities involved in the operation of this complex system, are coherent. This coherence can be influenced by the digital transformation solutions that are implemented and used. The article used the analytic hierarchy process (AHP) and Vester methods, which were used for research by railway undertakings operating on the Polish railway market, to solve the scientific problem. A ranking of specific issues responsible for building safety culture and the identification of factors that are important for the effectiveness of the process of shaping the expected safety culture was created.

Utilizing analytic hierarchy process for improved decision making within supply chains

2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson
Keyword(s):  
Analytic Hierarchy Process ◽  
Global Economy ◽  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Data Availability ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Device Manufacturer ◽  
Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

scholarly journals A HYBRID MULTIPLE CRITERIA EVALUATION METHOD OF RANKING OF CULTURAL HERITAGE STRUCTURES FOR RENOVATION PROJECTS

2017 ◽  
Vol 21 (3) ◽  
pp. 318-329 ◽  
Author(s):  
Zenonas TURSKIS ◽  
Zydrune MORKUNAITE ◽  
Vladislavas KUTUT
Keyword(s):  
Cultural Heritage ◽  
Evaluation Method ◽  
Social Needs ◽  
Problem Solution ◽  
Analytic Hierarchy ◽  
State Institutions ◽  
The Social ◽  
Heritage Buildings ◽  
Multiple Criteria Evaluation ◽  
Hierarchy Process

Cultural heritage item preservation, renovation and adaptation to the social needs of people, as well as their passing from generation to generation, is a problem relevant from economic, historical, archeological, religious, technological, research and other perspectives. They are typical strategic multi-criteria decision-making problems. The state institutions and the owners and managers of the heritage items invest in their preservation. In fact, every country has a great number of the registered heritage structures. To ensure their effective management and renovation, a lot of implementation projects and strategies should be developed and evaluated. This work requires large investments and time. The paper presents a hybrid model developed for ranking the heritage buildings intended for renovation according to their value. The model for problem solution based on integrated using two MCDM methods Analytic Hierarchy Process and EDAS. A set of the criteria for evaluating the projects, concerning the renovation of cultural heritage items defined.

scholarly journals Predicting Facebook Group Relationship

2019 ◽  
Vol 8 (11) ◽  
pp. 1862-1869 ◽  
Keyword(s):  
Social Network ◽  
Social Networking Site ◽  
Weighted Averaging ◽  
Social Actors ◽  
The Social ◽  
Sample Data ◽  
Ordered Weighted Averaging Operator ◽  
Relationship Of ◽  
Hierarchy Process ◽  
Closely Linked Group

Facebook has become the leading social networking site in most countries worldwide. It provides a diverse platform that caters to social, educational and entertainment needs of a user. So, this paper has focused on the Sociocentric Analysis of Facebook. It predicts group relationship of the Facebook social network. The paper proposes to aggregate user’s relationships with similar interests and perspectives on the basis of the way in which they provide a reaction to a post on Facebook. The paper has selected the widely used reactions on Facebook posts. The selected reactions on posts are Like, Laugh, Sad, and Wow. In this, a fuzzy pairwise relation between two users in the social network is obtained. For every pair of social actors or users, we have extracted the total number of Facebook posts to which they have reacted in a particular way over a fortnight. The number for each reaction is multiplied with the corresponding weight of the reaction computed by Analytics Hierarchy Process. This fuzzy pairwise relationship is further employed for finding the closely linked group between users by using Ordered Weighted Averaging operator. The devised algorithm has been applied to a sample data of students connected via Facebook social network. The paper has also given several application areas for the proposed work.

Social Stability Risk Assessment of Jianli-Jiangling Highway Project — Based on Fuzzy Analytic Hierarchy Process

2014 ◽  
Vol 584-586 ◽  
pp. 2193-2198
Author(s):  
Gui Mei He ◽  
Yi Yang
Keyword(s):  
Analytic Hierarchy Process ◽  
Preventive Measures ◽  
Fuzzy Analytic Hierarchy Process ◽  
Social Stability ◽  
Social Infrastructure ◽  
Analytic Hierarchy ◽  
Social Instability ◽  
The Social ◽  
Hierarchy Process ◽  
Highway Project

Highway as a significant part of social infrastructure affects the interests of all social aspects during construction and thus will bring about social instability risks. In this paper, the social instability risks from Jianli-Jiangling Highway project were identified and evaluated using fuzzy analytic hierarchy process. The results will promote science-based decision-making and careful use of preventive measures, and thus ensure the evaluated project can be smoothly implemented. This study will provide some references for similar projects in the future.

scholarly journals Media Selection in Knowledge Transfer

2020 ◽  
Vol 28 (1) ◽  
pp. 86-102
Author(s):  
Ruihong Liu ◽  
Xiu-Hao Ding ◽  
Zhi Yang ◽  
Jiang Wu ◽  
Jing Yang
Keyword(s):  
Knowledge Transfer ◽  
Decision Model ◽  
Knowledge Spillover ◽  
Vital Role ◽  
Media Selection ◽  
Competitive Advantages ◽  
Analytic Hierarchy ◽  
Comprehensive Framework ◽  
Hierarchy Process

Managing knowledge transfer is a complex issue: when firms attempt to accelerate knowledge transfer at a rational cost, there is often a byproduct of knowledge spillover which harms the firms' competitive advantages. As the channel of knowledge transfer, media play a vital role for the success of knowledge transfer. However, the extant literature offers neither comprehensive framework nor a decision method to guide firms' media selection in knowledge transfer. This article develops a framework of media selection from the perspectives of performance, cost, and risk of knowledge spillover, and proposes a decision model of media selection in knowledge transfer based on analytic hierarchy process (AHP). Finally, this article applies the model to a case study to verify its effectiveness in practice. The framework is helpful to guide firms' media selection, and the decision model is valuable to facilitate firms' media selection in big knowledge transfer projects.

The Evaluation and Analysis of Benefit of Land Resource Use in Economic Perspective

2014 ◽  
Vol 543-547 ◽  
pp. 4273-4277
Author(s):  
Yi Lu ◽  
Zhao Ji ◽  
Hong Jie Liu
Keyword(s):  
Resource Use ◽  
Evaluation Index System ◽  
Land Resource ◽  
Land Resources ◽  
Analytic Hierarchy ◽  
Ecological Evaluation ◽  
The Social ◽  
Economical Benefit ◽  
City Construction ◽  
Hierarchy Process

With the reduction of land resources, it has become the main content of current city construction that how to exert the most economical benefit with the limited resources. This paper establishes the economic, social and ecological evaluation index system of benefit of urban land resource use and also quantifies it. It uses the analytic hierarchy process (AHP) and the entropy value method to determine the index weights, and applies Cobb-Douglas production function into the estimation of land production. Moreover, it also concludes that the social, economic and ecological influences must be considered in the evaluation of benefit of land resource use through the data analysis.

scholarly journals Prioritizing solutions for overcoming knowledge transfer barriers in software development using the fuzzy analytic hierarchy process

2018 ◽  
pp. 217-249
Keyword(s):  
Knowledge Transfer ◽  
Software Development ◽  
Analytic Hierarchy Process ◽  
Memory Systems ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Weekly Meeting ◽  
Key Factor ◽  
Team Project ◽  
Hierarchy Process

An effective knowledge transfer (KT) process is a key factor in achieving the competitive advantage that is critical for software development companies seeking to maintain their existence and improve their performance. However, there do exist obstacles to the achievement of effective knowledge transfer. Companies often face difficulties in identifying those barriers that have the great impact on KT as well as the best solutions with which to address them. Through a systematic literature review and interviews conducted with 15 experts, we identified 21 KT barriers and 12 KT solutions. The barriers were classified into three categories: team, project, and technology. Then, using the fuzzy analytic hierarchy process, the identified KT barriers and solutions were ranked. The result of this research is a list of ranked KT barriers and solutions relevant to software development. Poor communication and interpersonal skills, lack of management direction, and challenges to transactive memory systems topped the list of team-, project-, and technology-related barriers, respectively. It was further found that an additional weekly meeting is the best solution with which to overcome the barriers to KT.

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