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This paper aims to establish the determinants of production in the Spanish Designation of Origin (DO) area for Cava wine and forecasts sales to establish vineyard area variations that maintain market equilibrium.

By applying a vector autoregressive (VAR) model, the authors forecast demand and the consequent requirements for base wine production.

The results show that Cava sales determine the base wine supply. After forecasting demand and the consequent requirements for base wine, the authors’ results show that, to avoid oversupply, the vineyard area for Cava wine should not be increased.

The paper develops a simple and effective method for DOs affected by the current European wine plantation regulations to forecast from a supply and demand perspective and their surface needs in response to market changes.

This study contributes to the literature because, to the best of the authors’ knowledge, no other study has investigated the determinants of Cava supply and demand or defines a model to assess the effects of changes in growing areas. The model is applicable to other European protected designations of origin wines and would help policymakers to accurately establish vine planting authorizations.

This paper aims to examine the influence of managerial practices, productivity and change management process (CMP) on organizational innovation capability of small and medium businesses. This study also investigates the moderating role of technological turbulence (TT) on organization capability.

A theoretical model was developed based on existing literature and theories. It was then validated using the partial least squares structural equation modeling technique to analyze 327 responses from small and medium businesses. Moderator analysis was conducted to investigate how TT moderates organizational innovation capability.

This study found that management practices have a significant and positive influence on the innovation capability of small and medium business. The study also found that both CMP and modern technology adoption are crucial toward improving their innovation capability. Finally, the study also demonstrated that TT has a significant impact on organizational innovation capability.

This research study has proposed an effective theoretical model of the relationship between managerial practices and organizational innovation capability. The proposed model is effective in demonstrating to managers and leaders of small and medium businesses the importance of managerial practices, CMP and the adoption of modern technologies on organization innovation capability, which can help to develop new products.

This research is unique, as the proposed model is the first of its kind to establish the relationship between managerial practices of small and medium businesses with organizational innovation capability. No other extensive study has proposed such a model especially for these businesses. Also, the explanative power of the proposed model is 72%, which shows the effectiveness of the proposed model.

This paper aims to draw on the Dynamic Capabilities View to discuss how small and medium enterprises (SMEs) use digital technologies to develop digital capabilities that will enable them to change their current business model and trajectory, that is, to pivot-within turbulent environments, and subsequently to survive and grow.

The authors collected and analysed qualitative data from 26 SMEs in South-East England that have used digital technologies to pivot during the pandemic. The data was collected via in-depth semi-structured interviews. The authors analysed the data by creating first-order concepts, second-order themes, and aggregating dimensions.

The findings suggest that (1) digital technologies enable pivoting by facilitating the creation of the following digital capability types: “digital sensing”, “digital seizing” and “digital transforming”; (2) Each of these digital capability types is underpinned by micro-foundations (sub-capabilities) and shaped by the digital culture of the organisation. (3) these capabilities are triggered by the turbulent environment and the existing digital technologies, and are shaped by the digital culture.

The authors contribute to the literature of digital entrepreneurship as the authors illustrate (1) how the micro-foundations of digital capabilities, as facilitated by digital technologies, assist pivoting; and (2) the process from key activities during pivoting to second-order themes that represent micro-foundations to digital (dynamic) capabilities for pivoting in turbulent environments. The study highlights the importance of digital pivoting for businesses in the UK Southeast that have many aspirations for growth and innovation, whilst striving to address multiple challenges including digital divide and literacy, inflation and cost of living crisis, as well as supply chain issues.

The purpose of this paper is to apply PROMETHEE II, a multicriteria decision-making method, to evaluate wineries, aiming to support the tourist’s decision regarding an online recommendation system on which wineries to prioritise visiting.

This study was divided into four phases: literature review, which aimed to identify a list of criteria related to the quality of services offered by wineries in specialised literature; validation of the categories and criteria with specialists in the field of wine tourism using a questionnaire with questions based on the stage of the research; multicriteria evaluation of wineries using PROMETHEE II method which was adjusted to the model through a pre-test with ten specialist professionals from different states (Rio Grande do Sul, Santa Catarina, Paraná, São Paulo and Pernambuco); and validation of the model with one decision-maker representing each winery in Rio Grande do Sul, Brazil, and a decision-making expert who is familiar with all the wineries.

These findings reveal various scenarios based on different criteria that wine tourists may consider, with emphasis on the terroir of the region, extensive tasting, picnics in the vineyards and improvement in the development of wine tourism with a night harvest. The core of wine tourism services is based on 12 dimensions: waiting for the service, ease of purchase, opening hours, price, winery landscape, variety of products, local cuisine, quality of tasted products, access to the winery, tourist facilities, sustainable products and hygiene installation.

This research contributes to the literature by demonstrating the applicability of multicriteria tools to solve wine tourism services based on the tourist perspective of the service. Still, this paper proposes that it be applied to other case studies.

The aim of this study was to prepare antibacterial capsules and transfer them to cotton fabrics using the impregnation method.

For this purpose, helichrysum oil was encapsulated by ß-cyclodextrin (ß-CD) using the kneading method at three different molar ratios. The products were then applied to 100% cotton fabric through the impregnation method.

Morphological assessment showed that the inclusion complex had smooth surfaces and spherical shapes. Fourier transform infrared spectroscopy and differential scanning calorimeter analysis results confirmed the formation of the inclusion complex between ß-CD and the active agent at mole ratios of 1:1, 1:2 and 1:3 for helichrysum oil. According to the analyses, it was determined that the highest complexing rate was between 9.72% and 1:2 in capsules containing ß-CD:helichrysum oil and the sizes of particles which is 1:2 are determined to be between 2 and 25 µm. The presence of capsules on the fabrics was determined after 5 washing cycles. Antibacterial activity was evaluated against Staphylococcus aureus and Escherichia coli bacteria. The antibacterial analysis results showed that the inclusion complex provided a reduction of over 96% against both S. aureus and E. coli bacteria, and the fabrics exhibited antibacterial effects even after 5 washing cycles. The major constituents of the oil were decreased after 5 washes, but significant peaks were remained according to the gas chromatography analyses. These results indicate that helichrysum oil can be used for its antibacterial properties, and it has been observed that this activity continues up to 5 washes when transferred to the fabric in the form of an inclusion complex.

Although helichrysum oil is widely used in cosmetics, there is a lack of studies on its application in textiles. Therefore, this study investigated the potential use of helichrysum oil, which has a wide range of applications, in textiles for its antibacterial properties through molecular encapsulation. The use of naturally sourced substances such as helichrysum oil in the textile industry can offer an environmental and sustainable alternative. This study can be considered as a step toward the development of innovative and naturally sourced antibacterial products in the textile industry.

Despite the significant interest from researchers and practitioners, the literature on project value measurement from the perspective of the customer is non-existent. This study aims to address this gap by developing and validating a scale to measure project value through a customer lens called the customer perception of project value scale.

A list of items was initially generated based on 762 sample responses through a systematic review of the literature and with the participation of specialists. Exploratory and confirmatory factorial analyses and structural equation modelling were used to develop and validate the scale.

The authors formulated a four-dimension scale. The dimensions used to measure the second-order construct are customer centrality, process, delivery and cost-benefit. This was validated using a nomological structure.

The non-consensual nature of what is value in projects restricts the results of this study to the context of a specific group of stakeholders only, that is, the consumers of the projects. The authors also see limitations in the absence of competing scales, which do not allow the comparison of the instrument with alternative measures.

This study allows project managers and other professionals to measure a project’s perceived value from the customer’s point of view and manage the improvement of this perception.

To the best of the authors’ knowledge, this is the first study to propose a scale to measure project value, which advances the literature on project management and value and contributes to academic knowledge and practice by measuring project value from the customer standpoint.

Health is an essential issue in the motivation to eat organic food. The aim of the study is to investigate the relationship if people who have a positive view of a healthy lifestyle (want to live healthy) have an influence on the tendency to buy organic food.

The analysis of secondary data dealing with the issue was supplemented by primary data. In order to meet the main aim, a preliminary objective was set which was to determine the influence of socio-demographic factors on the recommended lifestyle. Specifically, the largest statistically significant difference in influence on healthy lifestyle was gender, followed by education and age. The survey was conducted in the period of January–May 2019 on a sample of 1,373 respondents from Slovakia.

The data was evaluated by means of selected specific statistical methods (Kruskal–Wallis test, Man-Whitney test and Decision tree methodology). The results of the research verified that the lifestyle of Slovak consumers has an influence on the consumption of organic products and that people who practise healthy eating buy organic food more often. Our research has shown that lifestyle is increasingly influencing consumer purchasing behaviour.

The results showed that today's healthy lifestyle increases the demand for healthy food among potential consumers. Furthermore, the presented results of our research in Slovakia could establish some basis for conducting similar research in other European countries.

The purpose of this study is to cover the influence of selected printing parameters at a macro and micro-geometrical level, focusing on the dimensions, geometry and surface of printed parts with short carbon fibers reinforced PLA. For this case study, a hollow cylindrical shape is considered, aiming to cover the gap detected in previous works analyzed.

Nowadays, additive manufacturing plays a very important role in the manufacturing industry, as can be seen through its numerous research and applications that can be found. Within the engineering industry, geometrical tolerances are essential for the functionality of the parts and their assembly, but the variability in three-dimensional (3D) printing makes dimensional control a difficult task. Constant development in 3D printing allows, more and more, printed parts with controlled and narrowed geometrical deviations and tolerances. So, it is essential to continue narrowing the studies to achieve the optimal printed parts, optimizing the manufacturing process as well.

Results present the relation between the selected printing parameters and the resulting printed part, showing the main deviations and the eligible values to achieve a better tolerance control. Also, from these results obtained, we present a parametric model that relates the geometrical deviations considered in this study with the printing parameters. It can provide an overview of the piece before printing it and so, adjusting the printing parameters and reducing time and number of printings to achieve a good part.

The main contribution is the study of the geometry selected under a 3D printing process, which is important because it considers parts that are created to fit together and need to comply with the required tolerances. Also, we consider that the parametric model can be a suitable approach to selecting the optimal printing parameters before printing.

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.