scholarly journals INVESTIGATING SELECTED GASTRONOMIC TRENDS FROM DEMAND AND SUPPLY SIDE

2020 ◽  
Vol 3 (1) ◽  
pp. 27-33
Author(s):  
Alžbeta Kiráľová ◽  
Lukáš Malec
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Stability Property ◽  
Supply Side ◽  
Economic Interest ◽  
Slow Food ◽  
Demand And Supply ◽  
Linear Discriminant ◽  
Quantitative And Qualitative Research

The study aims to identify the role of the selected gastronomic trends in the Czech gastronomic establishments. The study highlights the key findings of quantitative and qualitative research provided with the focus on both the demand and the supply side. It is focusing on the dispute between guests’ opinions and entrepreneurs’ views based on few variables for gastronomic trends. Entrepreneurs’ and guests’ views in three Czech Regions were studied in one set with notes incorporated on possible mutual differences between them. The partial least squares variant of linear discriminant analysis (plsLDA) and partial least squares (PLS) was applied as they give a clear superiority due to both, interpretational and stability property. It was proven that the partial least squares variants lead to direct answers to questions in the studied field. Participation/organization of food festivals and slow food are positively related. The significant tasks emerge to a great extent covering differences between guests´ and entrepreneurs´ opinions. On the other hand, the connection of economic interest to gastronomic trends is relatively weak.

scholarly journals Local Food as a Tool of Tourism Development in Regions

2021 ◽  
Vol 5 (1) ◽  
pp. 54-68
Author(s):  
Alžbeta Kiráľová ◽  
Lukáš Malec
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Local Food ◽  
Tourism Development ◽  
Random Variable ◽  
Demand And Supply ◽  
Variable Source ◽  
Linear Discriminant ◽  
Food And Beverages ◽  
Source Data

This study aims to identify the importance of local food for both the demand and supply sides and to show how local food can be bounded with tourism development in the region. The data presented are based on secondary and primary research. Secondary research includes the literature review and content analysis of documents. The qualitative research included a questionnaire survey among guests of the gastronomic establishments and entrepreneurs. Partial least squares variant of linear discriminant analysis (PLS-LDA) and partial least squares (PLS) as an alternative to standard multivariate methods were used to show the gastronomic establishments guests' and entrepreneurs' opinions on local seasonal food and beverages. The opinions are moreover related to the economically driven interest of guests and entrepreneurs. Based on the typical random variable source, data were gathered from three Czech regions covering the scope of this study. The significant disputes between opinions on local food and beverages are directly applicable in practice, including individual items.

Intellectual capital and supply chain resilience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Shujaat Mubarik ◽  
Nick Bontis ◽  
Mobasher Mubarik ◽  
Tarique Mahmood
Keyword(s):  
Supply Chain ◽  
Least Squares ◽  
Partial Least Squares ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Structural Capital ◽  
The Impact

PurposeThe main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning.Design/methodology/approachData were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience.FindingsEmpirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain.Practical implicationsFindings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience.Originality/valueThis research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.

scholarly journals PLS Generalized Linear Regression and Kernel Multilogit Algorithm (KMA) for Microarray Data Classification Problem

2020 ◽  
Vol 43 (2) ◽  
pp. 233-249
Author(s):  
Adolphus Wagala ◽  
Graciela González-Farías ◽  
Rogelio Ramos ◽  
Oscar Dalmau
Keyword(s):  
Logistic Regression ◽  
Discriminant Analysis ◽  
Linear Regression ◽  
Linear Discriminant Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Classification Error ◽  
Support Vector ◽  
Linear Discriminant ◽  
Generalized Linear Regression

This study involves the implentation of the extensions of the partial least squares generalized linear regression (PLSGLR) by combining  it with logistic regression and  linear  discriminant analysis,  to  get a  partial least  squares generalized linear  regression-logistic regression model (PLSGLR-log),  and a partial least squares generalized linear regression-linear discriminant analysis model (PLSGLRDA). A comparative  study  of  the obtained  classifiers with   the   classical  methodologies like  the k-nearest  neighbours (KNN), linear   discriminant  analysis  (LDA),   partial  least  squares discriminant analysis (PLSDA),  ridge  partial least squares (RPLS), and  support vector machines(SVM)  is  then  carried  out.    Furthermore,  a  new  methodology known as kernel multilogit algorithm (KMA) is also implemented and its performance compared with those of the other classifiers. The KMA emerged as the best classifier based  on the lowest  classification error  rates  compared to  the  others  when  applied   to  the  types   of data   are considered;  the  un- preprocessed and preprocessed.

scholarly journals THE EFFECT OF LEADERSHIP STYLE AND WORK PLANNING ON PUSKESMAS PERFORMANCE

2018 ◽  
Vol 9 (2) ◽  
pp. 316-329
Author(s):  
Faisal Marzuki ◽  
Handono Mardiyanto ◽  
Diyah Yuli Sugiarti
Keyword(s):  
Qualitative Research ◽  
Least Squares ◽  
Partial Least Squares ◽  
Leadership Style ◽  
Quantitative Study ◽  
Survey Methods ◽  
Health Centers ◽  
Quantitative And Qualitative Research ◽  
Pls Analysis ◽  
Work Planning

The purpose of this study was to find out whether there was effects to the leadership style and work planning towards the performance of puskesmas in the implementation Indonesia healthy program in 2019. This research was a quantitative study using survey methods. Herewith analyze and review the connection between each research variable. It is used analysis of Partial Least Squares (PLS) approachmentand a combination of quantitative and qualitative research. qualitative datathat obtained fromdirect interview with relevant officials inPuskesmas will be used to strengthen PLS analysis. the variables used in this study are: Puskesmas Performance (Y), Leadership Style (X1) and Work Planning (X2). the sample used in this study was 30 people out of 125 employees consisting of all Puskesmas units located in Sawangan Subdistrict, Depok city. The results of the study are leadership style influencing the performance of Puskesmas and work planning influences the performance of health centers.

scholarly journals Implementation of Eco-Innovation in Hotels

Tourism ◽  
2021 ◽  
Vol 69 (1) ◽  
pp. 58-72
Author(s):  
Álvaro Dias ◽  
Renato Costa ◽  
Leandro Pereira ◽  
José Santos
Keyword(s):  
Environmental Factors ◽  
Least Squares ◽  
Partial Least Squares ◽  
Significant Relationship ◽  
Strong Correlation ◽  
Dynamic Capabilities ◽  
Internal Dimension ◽  
External Dimension ◽  
The Way

In a context of increasing concern with environmental factors, hotels show a tendency to respond with passivity to eco-innovation. Furthermore, the literature is scarce about the way hotels adopt and integrate eco-innovation changes in their internal processes. As such, this article intends to present an integrative perspective of the dimensions that influence the adoption of eco-innovation, starting from the external dimension, which incorporates the context and drivers of eco-innovation. The internal dimension is divided into two levels: ordinary and dynamic capabilities. Based on a survey of a sample of hotels, the data were analyzed using partial least squares. The results indicate a positive and significant relationship between context and drivers in both dynamic and ordinary capacities. The influence of context on the green behaviour of hotels was only found in the technological dimension, while external drivers show a strong correlation with eco-innovation. The results also indicate that the two dynamic capacities and the three ordinary capacities studied have a positive and significant relationship with eco-innovation. The role of knowledge is highlighted, not only by its role in establishing a link with the external dimension, but also in the reconfiguration of the set of implementation capabilities that triggers eco-innovation.

scholarly journals Locality-Preserving Partial Least Squares Regression

2022 ◽  
pp. 173-188
Author(s):  
Jing Wang ◽  
Jinglin Zhou ◽  
Xiaolu Chen
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Data Sets ◽  
Least Squares Regression ◽  
Nonlinear Structure ◽  
Structure Preserving ◽  
The Core ◽  
Locality Preserving ◽  
Pls Method

AbstractThis chapter proposes another nonlinear PLS method, named as locality-preserving partial least squares (LPPLS), which embeds the nonlinear degenerative and structure-preserving properties of LPP into the PLS model. The core of LPPLS is to replace the role of PCA in PLS with LPP. When extracting the principal components of $$\boldsymbol{t}_i$$ t i and $$\boldsymbol{u}_i$$ u i , two conditions must satisfy: (1) $$\boldsymbol{t}_i$$ t i and $$\boldsymbol{u}_i$$ u i retain the most information about the local nonlinear structure of their respective data sets. (2) The correlation between $$\boldsymbol{t}_i$$ t i and $$\boldsymbol{u}_i$$ u i is the largest. Finally, a quality-related monitoring strategy is established based on LPPLS.

The Role of Gender in Entrepreneur–Investor Relationships: A Signaling Theory Approach

2017 ◽  
Vol 41 (4) ◽  
pp. 567-590 ◽  
Author(s):  
Gry Agnete Alsos ◽  
Elisabet Ljunggren
Keyword(s):  
New Ventures ◽  
Signaling Theory ◽  
Supply Side ◽  
Theory Approach ◽  
Investment Fund ◽  
Capital Investments ◽  
Risk Capital ◽  
Demand And Supply ◽  
Gender Biases

This study adopts a gender perspective to analyze funding decisions made by an investment fund that invests equity stakes in new ventures. Prior research has indicated that there is gender skewness in risk capital investments resulting from a combination of demand‐ and supply‐side issues. We apply signaling theory to examine the interface between demand and supply to understand gender biases related to risk capital investments. In‐depth analyses of decision documents from four investment cases show that gender plays a role in the signals that are communicated in the prefunding entrepreneur–investor relationship.

scholarly journals Gestión equitativa, fuente de empoderamiento personal y compromiso afectivo

2019 ◽  
Vol 17 (3) ◽  
Author(s):  
Alberto Díaz Rosillo ◽  
Arístides Alfredo Vara Horna ◽  
Zaida Asencios González ◽  
Raquel Chafloque Céspedes ◽  
Inés Santi Huaranca
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equations ◽  
Work Life ◽  
Personal Life ◽  
Research Article ◽  
Working Groups ◽  
The Relationship

This research article aims to establish whether equitable management by managers improves the personal role of their employees thanks to the skills acquired in the work and if this improvement of the personal role could mediate the relationship between equitable management and identification with the company. The method used was a self-reported questionnaire to 19 working groups led by a manager, 398 women and 413 men. Structural equations by partial least squares (SEM-PLS) are applied. Results: the equitable behavior of the managers favors the personal life of the employees although the relationship and its intensity are not high. The models with a mediating variable of work-life enrichment explain the relationship between an equitable management with the identification with the company. Other results and differences between sexes and the gender of the manager are discussed.RESUMENEste artículo de investigación pretende establecer si la gestión equitativa por parte de los gerentes mejora el rol personal de sus empleados gracias a las habilidades adquiridas en el trabajo y si esta mejora del rol personal pudiera mediar la relación entre la gestión equitativa y la identificación con la empresa. El método empleado fue un cuestionario auto-informado a 19 grupos de trabajo dirigidos por un gerente/a, 398 trabajadoras y 413 trabajadores. Se aplican ecuaciones estructurales por mínimos cuadrados parciales (SEM-PLS). Resultados: la conducta equitativa de los gerentes favorece la vida personal de los/las empleados, aunque la relación y su intensidad no son elevados. Los modelos con variable mediadora de enriquecimiento laboral – vida personal explican en mayor medida la relación entre una gestión equitativa con la identificación con la empresa. Se discuten otros resultados y las diferencias entre sexos y el sexo del gerente.RESUMOEste artigo de pesquisa visa estabelecer se a gestão eqüitativamente pelos gerentes melhora o papel pessoal de seus trabalhadores graças às habilidades adquiridas no trabalho e se essa melhoria do papel pessoal poderia mediar a relação entre gestão equitativa e identificação com a empresa. Método: questionário auto-relatado para 19 grupos de trabalho liderados por um gestor, 398 trabalhadores homens e 413 trabalhadores mulheres. Equações estruturais são aplicadas por mínimos quadrados parciais (SEM-PLS). Resultados: o comportamento equitativo dos gerentes favorece a vida pessoal dos trabalhadores, embora o relacionamento e sua intensidade não sejam altos. Modelos com uma variável mediadora de enriquecimento do trabalho - vida pessoal explicam em maior grau a relação entre a gestão equitativa e a identificação com a empresa. Outros resultados e diferenças entre os sexos e o gênero do gerente são discutidos.

Sign in / Sign up

Export Citation Format

Share Document