scholarly journals THE EFFECTIVENESS OF FACEBOOK PROMOTING THE BRANDS OF SLOVAK WELLNESS HOTELS BASED ON THE DEA METHODOLOGY

2019 ◽  
Vol 7 ◽  
Author(s):  
Dominika Moravcikova ◽  
Anna Krizanova
Keyword(s):  
Social Network ◽  
Slovak Republic ◽  
Research Question ◽  
Data Envelopment ◽  
Dea Model ◽  
Analysis Methodology ◽  
Input And Output ◽  
Assurance Region ◽  
Multiple Variables ◽  
Facebook Pages

This contribution presents an evaluation of the effectiveness of the Facebook social network promoting the brands of a number of selected Slovak wellness hotels based on the DEA (Data Envelopment Analysis) methodology and its selected models. The research question is that hotel guests use the funpages of the Slovak wellness hotels on the Facebook social network to learn more about its services and also how the Slovak wellness hotels use their funpages to promote their brand and communicate with their consumers. During the four months in 2018 (September – December), data on input and output variables was collected, with data from photos, videos and links to "funpage" hotels on Facebook and output to "Likes" and "Comments". The measurement of the efficiency of these input and output variables in order to assess the effectiveness of 16 wellness hotel brands operating in the Slovak Republic was based on an input-oriented CCR DEA model with weight adjustment via the Assurance Region. The number of Likes and comments on the Facebook pages of the 16 Slovak wellness hotels suggests that hotel guests use Facebook to learn more about the services and events they provide. The DEA model is therefore an effective tool to help evaluate the effectiveness of a business in a hotel sector on a social network, such as Facebook, in promoting its brands, as it uses multiple variables and does not necessarily require an input-output relationship. The results of using this method confirmed the research question.

Chance-constrained data envelopment analysis modeling with random-rough data

2018 ◽  
Vol 52 (1) ◽  
pp. 259-284 ◽  
Author(s):  
Rashed Khanjani Shiraz ◽  
Madjid Tavana ◽  
Debora Di Caprio
Keyword(s):  
Data Envelopment Analysis ◽  
Deterministic Model ◽  
Equivalent Model ◽  
Management Tool ◽  
Data Envelopment ◽  
Output Data ◽  
Quadratic Constraints ◽  
Dea Model ◽  
Deterministic Equivalent ◽  
Input And Output

Data envelopment analysis (DEA) is a useful management tool for measuring the relative efficiency of decision making units (DMUs) which consumes multiple inputs to produce multiple outputs. Although precise input and output data are fundamentally indispensable in classical DEA models, real-world problems often involve random and/or rough input and output data. We present a chance-constrained DEA model with random and rough (random-rough) input and output data and propose a deterministic equivalent model with quadratic constraints to solve the model. The main contributions of this paper are fourfold: (3.1) we propose a DEA model for problems characterized by random-rough variables; (3.2) we transform the proposed chance-constrained model with random-rough variables into a deterministic equivalent non-linear form that could be simplified as a deterministic model with quadratic constraints; (3.3) we perform sensitivity analysis to investigate the stability and robustness of the proposed model; and (3.4) we use a numerical example to demonstrate the feasibility and richness of the obtained solutions.

scholarly journals A Model To Estimate Firms Accounting-Based Performance: A Data Envelopment Approach

2014 ◽  
Vol 13 (6) ◽  
pp. 1301 ◽  
Author(s):  
Merwe Oberholzer
Keyword(s):  
Weighted Average ◽  
Data Envelopment ◽  
Accounting Data ◽  
Dea Model ◽  
Analytical Reasoning ◽  
Input And Output ◽  
Analysis Theory ◽  
Net Profit ◽  
Optimal Capital ◽  
Input Variables

The objective of the study was to follow a logical inductive approach to develop a Data Envelopment Analysis (DEA) model to estimate the relative technical efficiency of firms. The Du Pont analysis theory as conceptual framework was applied using primarily readily available accounting line-items as input and output variables. From an interpretive epistemological paradigm and analytical reasoning, a new DEA model was developed with Weighted Average Cost of Capital (WACC), leverage and expenditure as input variables and revenue, net profit and Earnings Before Interest, Tax, Depreciation and Amortization (EBITDA) as output variables. The originality of this study is that this is the first effort to employ accounting data, based on the Du Pont analysis in a DEA model. All the input and output variables in the model were already used individually or in combinations by previous studies, except for WACC. The study argues that WACC should be employed as a proxy for the accounting line-items, equity and liabilities, since lowering WACC implies that firms are moving closer to their optimal capital structures.

scholarly journals Dual frontiers data envelopment analysis: multiple ranking approaches from optimistic and pessimistic perspectives

2021 ◽  
Author(s):  
Abdullah Maraee Aldamak
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Efficiency Score ◽  
The Body ◽  
Data Envelopment ◽  
Free Disposal Hull ◽  
Dea Model ◽  
Ranking Models ◽  
Input And Output ◽  
Dea Models

The field of data envelopment analysis (DEA) has evolved rapidly since its introduction to decision-making science 40 years ago. DEA has since attracted the attention of many researchers because of its unique characteristic to measure the efficiency of multiple-input and multiple-output decision-making units (DMUs) without assigning prior weight to the input and output, unlike most available decision analysis tools. The body of research has resulted in a huge amount of literature and diverse DEA models with very many different approaches. DEA classifies all units under assessment into two groups: efficient with a 100% efficiency score and inefficient with a less than 100% efficiency score. This ability is considered both a strength and a weakness of the standard DEA model because, although it allows DEA to evaluate the efficiency of any dataset, it lacks the power to rank all DMUs, by giving full efficiency scores to many efficient units. This issue has attracted many researchers to investigate the weak discrimination power of classical DEA models, resulting in a subfield of research that focuses on DEA ranking. This thesis focuses on the development of the conventional DEA model, and an attempt has been made to study models that are considered as improved models, or approaches that bring a better ranking field, that may bring more accurate evaluation than the original DEA. After studying DEA ranking models, the thesis presents various models under the optimistic and pessimistic DEA ranking approaches. The first and fundamental contribution are the optimistic and pessimistic free disposal hull (FDH) models. In this study, authentic optimistic and pessimistic DEA models without convexity are developed from both input and output orientation. Further into the research investigation, extended models have been proposed, by combining the conventional and FDH ranking models with other different approaches in the literature. Chapter 4 of this thesis presents three extended FDH models: an FDH slack-based model, an FDH superefficiency model, and a dual frontier without infeasibility super-efficiency FDH model. Chapter 5 shows the development of extended models when virtual DMUs are considered. Improved virtual DMU models and improved FDH virtual DMU models are proposed in order to develop the DEA ranking ability from both optimistic and pessimistic approaches. The final model is an optimistic and pessimistic forecasting approach using regression analysis. The forecasting model can be used by decision makers to determine the resources needed for future planning to build an efficient new unit with reference to the current DMU set.

Bounded and discrete data in data envelopment analysis with assurance regions

2020 ◽  
Vol 15 (3) ◽  
pp. 1017-1036
Author(s):  
Bao Zhang ◽  
Chenpeng Feng ◽  
Min Yang ◽  
Jianhui Xie ◽  
Ya Chen
Keyword(s):  
Data Envelopment Analysis ◽  
Efficient Frontier ◽  
Discrete Data ◽  
Data Envelopment ◽  
Content Type ◽  
Dea Model ◽  
Decision Making Unit ◽  
Assurance Region ◽  
Context Dependent ◽  
Gear Shaping

Purpose The purpose of this paper is to evaluate design performance of 51 gear shaping machines by using data envelopment analysis (DEA). Design/methodology/approach Existing studies extend traditional DEA by handling bounded and discrete data based on envelopment models. However, value judgment is usually neglected and fail to be incorporated in these envelopment models. In many cases, there is a need for prior preferences. Using existing DEA approaches as a backdrop, the current paper presents a methodology for incorporating assurance region (AR) restrictions into DEA with bounded and discrete data, i.e. the assurance region bounded discrete (AR-BD) DEA model. Then, the AR-BD DEA model is combined with a context-dependent DEA to obtain an efficiency stratification. Findings The authors examine different AR restrictions and calculate efficiency scores of five scenarios of AR restrictions by using the proposed AR-BD DEA model. It shows that AR restrictions have a great impact on the efficiency scores. The authors also identify nine efficient frontiers in total. For each decision-making unit, it could set benchmarks and improve its performance based on each higher efficient frontier. Originality/value This paper first evaluates efficiency of gear shaping machines by considering different (bounded and discrete) variable types of data and including AR restrictions. The AR-BD DEA model and context-dependent AR-BD DEA model proposed in this paper further enrich the DEA theory. The findings in this paper certainly provide useful information for both producers and consumers to make smart decisions.

scholarly journals Dual frontiers data envelopment analysis: multiple ranking approaches from optimistic and pessimistic perspectives

2021 ◽  
Author(s):  
Abdullah Maraee Aldamak
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Efficiency Score ◽  
The Body ◽  
Data Envelopment ◽  
Free Disposal Hull ◽  
Dea Model ◽  
Ranking Models ◽  
Input And Output ◽  
Dea Models

The field of data envelopment analysis (DEA) has evolved rapidly since its introduction to decision-making science 40 years ago. DEA has since attracted the attention of many researchers because of its unique characteristic to measure the efficiency of multiple-input and multiple-output decision-making units (DMUs) without assigning prior weight to the input and output, unlike most available decision analysis tools. The body of research has resulted in a huge amount of literature and diverse DEA models with very many different approaches. DEA classifies all units under assessment into two groups: efficient with a 100% efficiency score and inefficient with a less than 100% efficiency score. This ability is considered both a strength and a weakness of the standard DEA model because, although it allows DEA to evaluate the efficiency of any dataset, it lacks the power to rank all DMUs, by giving full efficiency scores to many efficient units. This issue has attracted many researchers to investigate the weak discrimination power of classical DEA models, resulting in a subfield of research that focuses on DEA ranking. This thesis focuses on the development of the conventional DEA model, and an attempt has been made to study models that are considered as improved models, or approaches that bring a better ranking field, that may bring more accurate evaluation than the original DEA. After studying DEA ranking models, the thesis presents various models under the optimistic and pessimistic DEA ranking approaches. The first and fundamental contribution are the optimistic and pessimistic free disposal hull (FDH) models. In this study, authentic optimistic and pessimistic DEA models without convexity are developed from both input and output orientation. Further into the research investigation, extended models have been proposed, by combining the conventional and FDH ranking models with other different approaches in the literature. Chapter 4 of this thesis presents three extended FDH models: an FDH slack-based model, an FDH superefficiency model, and a dual frontier without infeasibility super-efficiency FDH model. Chapter 5 shows the development of extended models when virtual DMUs are considered. Improved virtual DMU models and improved FDH virtual DMU models are proposed in order to develop the DEA ranking ability from both optimistic and pessimistic approaches. The final model is an optimistic and pessimistic forecasting approach using regression analysis. The forecasting model can be used by decision makers to determine the resources needed for future planning to build an efficient new unit with reference to the current DMU set.

КОМУНІКАТИВНА КОМПЕТЕНТНІСТЬ У ПОЛІТИЧНОМУ ДИСКУРСІ (НА ПРИКЛАДІ ОФІЦІЙНИХ СТОРІНОК НАРОДНИХ ДЕПУТАТІВ У СОЦІАЛЬНІЙ МЕРЕЖІ «ФЕЙСБУК»)

2020 ◽  
pp. 4
Author(s):  
T. Sashchuk
Keyword(s):  
Social Network ◽  
Subject Matter ◽  
Communicative Competence ◽  
Professional Activity ◽  
First Person ◽  
Short Text ◽  
Scientific Methods ◽  
Content Analysis Method ◽  
General Scientific ◽  
Facebook Pages

<div><em>The article presents the results of the study of the communicative competence of the politicians on the basis of the analysis of their messages on their official pages of the Facebook social network. The research used the following general scientific methods: descriptive and comparative, as well as analysis, synthesis and generalization. The quantitative content analysis method with qualitative elements was used to distinguish the peculiarities of information messages that provide communication of the deputies of Verkhovna Rada (Ukrainian Parliament) on their official Facebook pages. Information messages have been analyzed by the following three criteria: subject matter, structure and language.</em></div><p> </p><p><em>For the first time the article draws a parallel between communicative competence and the ability to communicate with voters on the official pages of Facebook which is the most popular social network in Ukraine. As it is established, communicative competence in the analyzed cases is caused not by education, but by previous professional activity of a politician. The most successful and high-quality communication was from the current parliamentarian who worked as a journalist in the past. More than half of the messages that provided successful communication consisted of sufficiently structured short text and a video. The topic covers the activity of the parliamentarian in the Verkhovna Rada and in his district. More than half of the messages are spoken in the first person.</em></p><p><em>The findings of the study can be used in teaching such subjects as Political PR and Electronic PR, and may be of interest to politicians and their assistants.</em><em></em></p><p><strong><em>Key words:</em></strong><em> competence and competency, communicative competence, political discourse, official page of the deputy of Verkhovna Rada of Ukraine on the Facebook social network, subject matter and structure of the information message, first-person narrative, correspondence of communication to the level of communicative competence.</em></p>

scholarly journals Effectiveness of National Airlines in Europe – the DEA Approach

2016 ◽  
Vol 16 (2) ◽  
pp. 103-118 ◽  
Author(s):  
Agata Żółtaszek ◽  
Renata Pisarek
Keyword(s):  
Low Cost ◽  
Air Transport ◽  
Competitive Environment ◽  
Load Factor ◽  
Data Envelopment ◽  
Eu Member States ◽  
Analysis Methodology ◽  
Low Cost Carriers ◽  
Dea Approach ◽  
Regional Airports

Abstract National airlines operate in a highly competitive environment. EU airlines face a challenge to compete with low cost carriers, as a result of the liberalization process in the sector. European flag airlines of non-EU member states, not benefiting from liberalization, are forced to compete internationally. This research is focused on national carriers, as they provide the majority of service to and from central and regional airports. Therefore, to establish the most efficient entities on the passenger air transport market, DEA (Data Envelopment Analysis) methodology, has been utilized. The purpose of this paper is to evaluate the effectiveness of 29 chosen national airlines in Europe in the year 2013, using the DEA approach, to pinpoint the subset of fully-efficient market leaders, as well as potential sources of inefficiency, among less effective carriers. The analysis incorporates information on inputs (e.g. fleet, number of employees, number of countries and airports served) and outputs (revenue, annual passengers carried, load factor). The results show that more than 40% (12 of 29) researched airlines are effective and the other 34% are near-efficient. Moreover, outcomes suggest that “going big” may not increase effectiveness. It is harder to achieve full efficiency for big carriers than small ones.

Sign in / Sign up

Export Citation Format

Share Document