Concern about environmental problems has led to more attention being paid to the sustainable development objective. Social entrepreneurship, and entrepreneurship in general, show a direct relationship with this objective, due mainly to the activities carried out by entrepreneurs regarding the...

Analysing the determinants of wine prices has always been a field of interest in the wine economics literature. By estimating hedonic price functions, however, most papers generally remain at the country level with regions generally neglected or treated as simple dummy variables. The aim of this...

The Internet of Things (IoT) has gained particular attention, both from academia and from companies and industries, as a result of its characteristics and the opportunities that this technology generates for end-users and for the business environment. Thus, the creation of this network that...

This paper presents a coincident and a leading composite monthly indicator for the world business cycle - the Global Economic Barometers. Both target the world's output growth rate cycle. The calculation of these indicators comprises two main stages. The first consists of a variable selection...

This research explores residents' support for tourism by introducing-for the first time-the variable of residents' word-of-mouth intention. The tested model proposes that residents' support for tourism is influenced by residents' word-of-mouth and tourism benefits; the model also examines the...

[enter Abstract BoThe research paper uses Consistent Partial Least Square (PLSc) which emerges as a more robust statistical approach recently, in assessing the influence of Internal Corporate Social Responsibility (CSR) among Small Medium Sized Enterprises (SMEs) employees. A total of 383...

This paper presents a coincident and a leading composite monthly indicator for the world business cycle - the Global Economic Barometers. Both target the world’s output growth rate cycle. The calculation of these indicators comprises two main stages. The first consists of a variable selection...

This study determines data driven weights for the indicators in the multidimensional poverty index (MPI), based on partial least squares (PLS), using income as the outcome variable. Consequently, the resulting MPI is particularly useful to income related policy and research questions. An...

This research explores residents' support for tourism by introducing-for the first time-the variable of residents' word-of-mouth intention. The tested model proposes that residents' support for tourism is influenced by residents' word-of-mouth and tourism benefits; the model also examines the...

There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we incorporate Google search data into a Bridge Equation Model, a...

Nowadays, many global challenges such as climate change, food security, health, industrial restructuring, and energy conservation may be solved by applying the principles of bioeconomy. Adequately implementing the principles of Bioeconomy ensures a transition from a fossil-based economy to a...

Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels. But directly estimating the importance weights of the attribute as a whole, rather than of distinct attribute...

Research and development organisations (RTOs) are at the heart of innovation systems. They help to connect innovation system actors to foster industrial innovation. Due to this intermediary role, they act as paradigmatic open innovation (OI) actors. In this context, RTOs need to balance their...

Nowadays, many global challenges such as climate change, food security, health, industrial restructuring, and energy conservation may be solved by applying the principles of bioeconomy. Adequately implementing the principles of Bioeconomy ensures a transition from a fossil-based economy to a...

Objective: The aim of the study is to examine the factors such as government policy, financial capital, cultural factors, social factors, and human capital that influence SMEs business success. Research Design & Methods: By observing many factors that affect businesses, this study applies...

In recent years, financial institutions especially universal/commercial banks across Africa have been faced with forceful mergers and acquisitions. These occurrences impede the level of financial inclusion and reduces public confidence in the financial system as a whole. This study assessed the...

Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels. But directly estimating the importance weights of the attribute as a whole, rather than of distinct attribute...

Research and development organisations (RTOs) are at the heart of innovation systems. They help to connect innovation system actors to foster industrial innovation. Due to this intermediary role, they act as paradigmatic open innovation (OI) actors. In this context, RTOs need to balance their...

Research and development organisations (RTOs) are at the heart of innovation systems. They help to connect innovation system actors to foster industrial innovation. Due to this intermediary role, they act as paradigmatic open innovation (OI) actors. In this context, RTOs need to balance their...

In this paper, we compare Principal Component Analysis (PCA) and Partial Least Squares (PLS) methods to generate weights for composite indices. In this context we also consider various treatments of non-metric variables when constructing such composite indices. Using simulation studies we find...

This paper reviews various treatments of non-metric variables in Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms. The performance of different treatments is compared in the extensive simulation study under several typical data generating processes and...