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The aim of this paper is to understand the importance of consumer loyalty in the specific context of Hotel Family Business. This study proposes a conceptual model to examine how perceived service quality and corporate social responsibility (SCR) influence guest satisfaction and loyalty, and also how they relate to corporate image, perceived value and price.

Through the structural equation model (SEM), a research model was proposed to examine SQ and CSR affect satisfaction and loyalty to the Douro Family Hotel and also, how they interact with corporate image, perceived value and price. The main purpose is to analyse the drivers of guest loyalty and its importance for the development and sustainability of family hotels in Douro (Portugal).

The results of the study indicate that CSR and SQ perceived by the guest have a direct and positive effect on guest satisfaction and loyalty to Douro family hotels. These variables are also determinants of the perceived value, corporate image and price.

The sample is restricted and obtained by the convenience technique, but with sufficient size for the application of the structural equations model. However, the results obtained cannot be generalised to all hotels or contexts, as they only reflect information on family hotels in the Douro.

Family businesses are a substantial share of the European economy, from the industrial sector to the services industry, including also hospitality. In Portugal, family businesses likewise play a key role, both in terms of wealth creation and job creation.

These findings provide knowledge to family hotels on how they should implement a CSR policy that promotes service quality, corporate image and guest satisfaction, and therefore their loyalty and the competitiveness of the family hotel business.

This study aims to examine the effect of structural transformation on poverty alleviation in Sub-Saharan Africa (SSA) countries with a higher share of services as a percentage of gross domestic product (GDP). The study specifically focuses on the value-added share as a percentage of GDP in the agricultural, manufacturing, industrial, and service sectors using time series data from 1988 to 2019.

The study utilizes the autoregressive distributive lag (ARDL) bound test framework for estimation, based on the conclusions drawn from the augmented Dickey-Fuller and Phillips–Perron unit root tests, which provide evidence of a mixed order of integration.

The result reveals that agriculture value-added (AVA), manufacturing value-added (MVA), industrial value-added (IVA), and services value-added (SVA) have a positive and significant impact on poverty alleviation in both the short and long run. However, the agriculture sector is found to be more effective in reducing poverty compared to the other sectors examined in this study. Additionally, this study challenges the notion that SSA countries have undergone an immature structural transformation. Instead, it reveals a pattern of stagnant structural transformation, as indicated by the lack of growth in the industrial and manufacturing value-added shares of GDP.

To enhance productivity and reduce poverty, SSA economies should adopt a development strategy that prioritizes heavy manufacturing and industrial sectors, leading to a transition from the agricultural to the secondary and tertiary sectors.

The study contributes to the emerging literature on structural transformation by investigating which sector is more efficient in reducing poverty in SSA countries, using the value-added share as a percentage of GDP for agricultural, manufacturing, industrial, and service sectors. The study also aims to determine if SSA countries have experienced immature structural transformation due to the growing share in the service sector.