scholarly journals Premium Power Value-Added Service Product Decision-Making Method Based on Multi-Index Two-Sided Matching

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Yuanqian Ma ◽  
Qiyuan Li ◽  
Zhenzhi Lin ◽  
Zheng Ge ◽  
Yi Lei ◽  
...  
Keyword(s):  
Decision Making ◽  
Value Added ◽  
Multi Index ◽  
Value Added Service ◽  
Product Decision

Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan.

2011 ◽  
Vol 50 (4II) ◽  
pp. 685-698
Author(s):  
Samina Khalil
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Value Added ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Textile Processing ◽  
Decision Making Unit ◽  
Desirable And Undesirable Outputs ◽  
Decision Making Units

This paper aims at measuring the relative efficiency of the most polluting industry in terms of water pollution in Pakistan. The textile processing is country‘s leading sub sector in textile manufacturing with regard to value added production, export, employment, and foreign exchange earnings. The data envelopment analysis technique is employed to estimate the relative efficiency of decision making units that uses several inputs to produce desirable and undesirable outputs. The efficiency scores of all manufacturing units exhibit the environmental consciousness of few producers is which may be due to state regulations to control pollution but overall the situation is far from satisfactory. Effective measures and instruments are still needed to check the rising pollution levels in water resources discharged by textile processing industry of the country. JEL classification: L67, Q53 Keywords: Data Envelopment Analysis (DEA), Decision Making Unit (DMU), Relative Efficiency, Undesirable Output

Application of PCA with georeferenced data in the tourism industry: A case study in the province of Córdoba, Argentina

2021 ◽  
pp. 135481662098768
Author(s):  
Laura I Luna
Keyword(s):  
Decision Making ◽  
Principal Components ◽  
Spatial Data ◽  
Local Development ◽  
Value Added ◽  
Tourism Industry ◽  
Methodological Innovation ◽  
Spatial Principal Components ◽  
Components Analysis

The spatial analysis of tourism industries provides information about their structure, which is necessary for decision-making. In this work, tourism industries in the departments of Córdoba province, Argentina, for the 2001–2014 period were mapped. Multivariate methods with and without spatial restrictions (spatial principal components (sPCs) analysis, MULTISPATI-PCA, and principal components analysis (PCA), respectively) were applied and their performance was compared. MULTISPATI-PCA yielded a higher degree of spatial structuring of the components that summarize tourism activities than PCA. The methodological innovation lies in the generation of statistics for multidimensional spatial data. The departments were classified according to the participation of tourism activities in the value added of tourism using the sPCs obtained as input of the cluster fuzzy k-means analysis. This information provides elements necessary for appropriately defining local development strategies and, therefore, is useful to improve decision-making.

scholarly journals Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

2021 ◽  
Vol 13 ◽  
pp. 184797902110233
Author(s):  
Stefania Bait ◽  
Serena Marino Lauria ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Multinational Enterprises ◽  
Value Added ◽  
Plant Performance ◽  
Multi Criteria Decision Making ◽  
African Countries ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Decision Making Model

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

scholarly journals Exploring the role of anticipated emotions in product adoption and usage

2018 ◽  
Vol 35 (3) ◽  
pp. 300-316 ◽  
Author(s):  
Debora Bettiga ◽  
Lucio Lamberti
Keyword(s):  
Decision Making ◽  
Conceptual Model ◽  
Structural Equation ◽  
Consumer Products ◽  
Product Adoption ◽  
Radical Product ◽  
Content Type ◽  
Product Decision ◽  
Anticipated Emotions

Purpose This study aims to explore the role of positive and negative anticipated emotions on adoption and continued usage of consumer products. The components of value eliciting anticipated emotions are investigated as well. Design/methodology/approach The conceptual model proposed is tested in two empirical studies, one focussing on functional and hedonic products and one on incremental and radical product innovations. Data are collected through online surveys on consumers and are analysed using structural equation modelling. Findings Results confirm the ability of anticipated emotions to influence product decision-making process. Moreover, anticipated emotions mediate the influence of value perceptions on product attitude. Findings show that these relationships vary greatly between initial adoption and further usage of the product. Practical implications Findings from this study may help marketers in the development of the right brand strategies and communication campaigns, aimed at building emotional connections with the consumer which prompt product adoption and usage. Originality/value Anticipated emotions, the predictions about the emotional consequences of a behaviour, have been acknowledged as strong drivers of consumer choices. Despite that, the role of anticipated emotions in product decision-making has not been explored yet. The present research, by means of a novel conceptual model, uncovers the role of anticipated emotions in both product adoption and continued usage decisions and depicts the components of value arousing such anticipated emotions.

scholarly journals Idea Management Systems as a Tool for Goals’ Setting & Achieving and Decision Making: Global Research Results

2021 ◽  
Vol 129 ◽  
pp. 05008
Author(s):  
Elina Mikelsone ◽  
Tatjana Volkova ◽  
Aivars Spilbergs ◽  
Elita Liela
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Data Collection ◽  
Idea Generation ◽  
Value Added ◽  
Scientific Data ◽  
Web Based ◽  
Ongoing Research ◽  
Research Results ◽  
Idea Management

Research background: the authors have explored that there are different idea management system (IMS) application types that could be used both locally and globally for diverse reasons and expected outcomes. There is ongoing research on how IMS could be applied for manageable idea management process. But there is a question – how do these IMS types help to set and achieve goals, and improve decision making? Purpose of the article: The article aims to clarify how an external and mixed web-based IMS could be used during COVID19 time for distance idea generation sessions, as well as, to solve complex issues such as decision making, goals’ setting and reaching them based on different idea generation sources and critical reflection on those ideas of evaluators. Methods: Literature review (data collection: systematic data collection from scientific data bases; data analysis: content analysis). The survey of n>400 enterprises with web-based IMS experience globally (data collection: a survey; data analysis: statistics). Findings & Value added: this paper explores how different types of web-based IMS could be applied as a tool and support system for decision making processes in general, decisions towards goal setting and its outreach. The research results provide also a practical contribution - it could help to choose the most appropriate IMS application type to reach estimated goals and to empower decision making.

scholarly journals Chatbots by business vis-à-vis consumers: A new form of power and information asymmetry

2021 ◽  
Vol 129 ◽  
pp. 05002
Author(s):  
Zanda Davida
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Information Asymmetry ◽  
Value Added ◽  
Legal Framework ◽  
Consumer Law ◽  
Study Results ◽  
The Sixties ◽  
Guidance Documents ◽  
New Form

Research background: The first notable early chatbots were created in the sixties, but the growing use of artificial intelligence (AI) has powered them significantly. Studies show that basically chatbots are created and used for purposes by government and business, mostly in consumer service and marketing. The new Proposal of the Artificial intelligence act aims to promote the uptake of AI and address the risks associated with certain uses of such technology. However, the act contains only minimum transparency obligation for some specific AL systems such as chatbots. Purpose of the article: In light of this issue, the article aims to discuss how existing European Union (EU) consumer law is equipped to deal with situations in which the use of chatbots can pose the risks of manipulation, aggressive commercial practices, intrusion into privacy, exploitation of a consumer’s vulnerabilities and algorithmic decision making based on biased or discriminatory results. Methods: The article will analyse the legal framework, compare guidance documents and countries’ experiences, study results of different consumer behavior researches and scientific articles. Findings & Value added: The article reveals several gaps in current EU consumer law and discusses the flaws of proposing legislation (particularly the Proposal for an Artificial intelligence act) regarding relations between business and consumers.

Co-Evaluation as a step in the Co-Generation of Climate Services.  An analysis of the CLARA experience

2021 ◽  
Author(s):  
Elisa Delpiazzo
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Economic Value ◽  
Value Added ◽  
Climate Change Impacts ◽  
End Users ◽  
Scientific Quality ◽  
Economic Value Added ◽  
Human Welfare ◽  
Climate Services

<p>Due to the pervasive nature of climate change impacts, and their relevance for human welfare, climate services delivering advanced knowledge of climate change and variation are crucial. They aid informed decision-making at relevant spatial and timescale and to improve prevention, preparation, adaptation, and minimize residual damages. It is also imperative to evaluate the climate services with a view to quantify the economic value added of these services. Particularly crucial is to assess how the decision-making process of the service end users would unfold with and without the service to identify its differential impact on properly selected indicators of performance.</p><p>The co-generation (also called co-creation) in products and services was made popular by the business literature in the early 2000s and represents a conceptual shift from an emphasis on output to an emphasis on a mutually satisfying relational process between developers and users in service creation. It mainly consists of four stages, namely co-design, co-development, co-delivery, and co-evaluation. The stage of co-evaluation refers to the development and application of agreed upon criteria for the measurement of results. The criteria will touch upon both substantial and procedural issues. From a user perspective, it will be important to evaluate relevance, impact/benefits, utility, credibility, and costs (financial and human resources) in using climate services. These elements are important to assess the effectiveness and uptake of the service and possibly refine it towards these goals. From a developer perspective, important aspects to evaluate will include, for instance, the scientific quality of the service or its skill.</p><p>This presentation introduces the lessons learnt in the context of the H2020 project CLARA (Climate forecast enabled knowledge services) on how to effectively implement the interactions among researchers, end users and service developers to unveil the economic value added of climate services.</p>

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