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Employability skills training programmes are an effective means for reducing unemployment rates. Such programmes also have the potential to improve the general well-being (e.g. self-efficacy) of disadvantaged individuals, however, reliable longitudinal evaluations of the psychological benefits of such programmes are limited. The present study evaluated the impact of an employability programme offered to disadvantaged adults in North-West England on self-efficacy. Additionally, the study aimed to identify risk factors for programme disengagement to identify at-risk groups that require further support.

Secondary longitudinal data pertaining to the background characteristics, programme engagement and self-efficacy scores (repeatedly measured on a monthly basis) of 308 programme users were analysed.

Results demonstrated that employability programme engagement significantly increased self-efficacy scores. Additionally, the findings suggested that individuals with mental health and learning difficulties were more likely to disengage from the programme. The findings demonstrate that employability programmes can have a positive impact on the well-being of individuals from disadvantaged backgrounds, however, prolonged engagement is needed for which some individuals require further support with.

The present study analysed longitudinal data from a diverse sample of disadvantaged individuals to reliably evaluate psychological outcomes from employability training programmes.

This paper aims to identify and empirically analyze useful and applicable metrics for measuring and managing the sustainability performance of small and medium-sized enterprises (SMEs).

To achieve the objective of the paper, potential metrics were adopted from previous research related to industrial sustainability and an empirical analysis was carried to assess the applicability of the metrics by collecting empirical data from Italian footwear SMEs using a structured questionnaire. The SMEs were selected using a convenience sampling method.

The results of the within-case analysis and the cross-case analysis indicate that the majority of the metrics were found to be useful and applicable to each of the SMEs and across the SMEs, respectively. These metrics emphasized measuring industrial sustainability performance related to financial benefits, costs and market competitiveness for the economic sustainability dimension; resources for the environmental sustainability dimension; and customers, employees and the community for the social sustainability dimension.

Apart from the within-case analysis and cross-case analysis, it was not possible to conduct statistical analysis since a small number of SMEs were accessible to collect empirical data.

The findings of the paper have considerable academic, managerial and policy implications and will provide a theoretical basis for future research on measuring and managing industrial sustainability performance. By providing a set of empirically supported metrics based on the triple bottom line approach (i.e. economic, environmental and social metrics), this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement.

Sectoral brands are umbrella brands created to represent all companies’ products belonging to a country’s economic industry abroad to enhance their export performance. This study aims to explore the development of a sectoral brand model through the optic of the social constructionist perspective. Besides, this study also proposes to apply the model to a sectoral brand case in the business-to-business market.

The authors have developed a systematic qualitative literature review to provide a theoretical basis for the attributes chosen to compose the social constructionist sectoral brand management (SCSBM) model. To apply the model, the authors have conducted a series of 17 in-depth semi-structured interviews with the association’s managers that constitute the sectoral brand development, the director of the branding consultancy firm and specialists on place branding.

The authors present the SCSBM model, highlighting that sectoral branding should be seen as a dynamic and continuous process with the integrated participation of all industry stakeholders. Moreover, the authors have applied the model to the Brazil Fashion System brand.

The main contribution to theory is the link between sectoral brand management and the social constructionist approach, being the first study, to the best of the authors’ knowledge, to propose this connection. SCSBM model extends previous work on sectoral brands by adopting a social constructionist view.

The SCSBM model might contribute to marketing professionals willing to develop sectoral brands across multiple economic sectors and geographies.

The study’s originality lies in developing the first model, which adopts a social constructionist approach to sectoral brands.

This study aims to identify different consumer segments to address the strategies that can be adopted by companies and policymakers to increase the consumption of safer foods and reduce the negative externalities caused by pesticides. More than 3,000 consumers were involved in the survey, of which more than 1,000 completed in all parts.

The complexity of the topic required a multidimensional approach. Therefore, the authors modelled the decision support system by proposing a decision rule-based approach to analyse consumers' food purchasing choices. More precisely, the authors referred to the dominance-based rough set approach (DRSA).

Based on the DRSA results, three consumer segments were identified: green consumers, integrated pest management (IPM)-informed and active consumers, and potential low-pesticide consumers for which different policy implications have been highlighted.

Despite the high number of survey respondents, further research should seek to obtain data from a more balanced sample. Furthermore, different methods of analysis could be applied and the results compared.

Identification and promotion of managerial and public policies to increase the consumption of low pesticide food.

The main social implications can be summarised in the greater knowledge and awareness of the environmental aspects related to food, recognition of the intrinsic quality and/or functionality of food.

The authors contribute to the literature in two ways. First, the authors refer to the DRSA, an innovative approach in the context of consumer analysis. Second, based on the decision rules, the authors identify three consumer segments to which specific tools can be addressed.

Due to the nonrenewable nature of most geoheritage sites, restoration and reconstruction can be extremely difficult or even impossible. The purpose of this study is to create a model for the management of geoheritage conservation and vulnerability.

To develop the initial research model, two steps were taken. First, a systematic review of previous literature was conducted. Second, experts were asked to provide their input through semistructured and structured questionnaires. The statistical population of the research included experts and researchers in geoheritage. To analyze the data, the methods of meta-synthesis, thematic analysis and contextual analysis panels were used.

Based on research findings, a model for the management of geoheritage conservation and vulnerability has been developed. This model focuses on two key variables vulnerability and intervention, and it is based on three approaches: value-led conservation, preventive conservation and value-led management. The vulnerability variable has two dimensions: antecedents and drivers, while the intervention variable includes a management process with six dimensions: transparency, inclusion, institutionalization, communication, implementation and efficiency.

The management model for geoheritage conservation and vulnerability suggests that if the level of vulnerability of geological values can be controlled or reduced through management interventions, it is possible to achieve geoheritage conservation in three levels: physical, functional and visual.

由于大多数地质遗迹具有不可再生性, 修复和重建可能极其困难甚至不可能。当前的研究旨在创建地质遗迹保护和脆弱性的管理模型。

为了开发初始研究模型, 采取了两个步骤。首先, 对以前的文献进行了系统回顾。其次, 要求专家通过半结构化和结构化问卷提供意见。研究的统计人群包括地质遗迹专家和研究人员。为了分析数据, 使用了综合综合、主题分析和背景分析小组的方法。

根据研究结果, 开发了地质遗迹保护和脆弱性的管理模型。该模型侧重于两个关键变量：脆弱性和干预, 并基于三种方法：价值主导的保护、预防性保护和价值主导的管理。脆弱性变量有两个维度：前因和驱动因素, 而干预变量包括一个管理过程, 该过程有六个维度：透明度、包容性、制度化、沟通、实施和效率。

地质遗产保护和脆弱性的管理模型表明, 如果可以通过管理干预来控制或降低地质价值的脆弱性水平, 那么就有可能在物理、功能和视觉三个层面实现地质遗产保护。

Debido a la naturaleza no renovable de la mayoría de los sitios del geopatrimonio, la restauración y reconstrucción pueden ser extremadamente difíciles o incluso imposibles. La presente investigación se llevó a cabo para crear un modelo de gestión de la conservación y la vulnerabilidad del geopatrimonio.

Para desarrollar el modelo de investigación inicial, se siguieron dos pasos. En primer lugar, se realizó una revisión sistemática de la bibliografía anterior. En segundo lugar, se solicitó la opinión de expertos mediante cuestionarios semiestructurados y estructurados. La población estadística de la investigación incluía expertos e investigadores en geopatrimonio. Para analizar los datos se utilizaron los métodos de metasíntesis, análisis temático y panel de análisis contextual.

A partir de los resultados de la investigación, se ha desarrollado un modelo para la gestión de la conservación y la vulnerabilidad del geopatrimonio. Este modelo se centra en dos variables clave: la vulnerabilidad y la intervención, y se basa en tres enfoques: la conservación basada en el valor, la conservación preventiva y la gestión basada en el valor. La variable de vulnerabilidad tiene dos dimensiones: antecedentes e impulsores, mientras que la variable de intervención incluye un proceso de gestión con seis dimensiones: transparencia, inclusión, institucionalización, comunicación, aplicación y eficacia.

El modelo de gestión de la conservación y la vulnerabilidad del geopatrimonio sugiere que si el nivel de vulnerabilidad de los valores geológicos puede controlarse o reducirse mediante intervenciones de gestión, es posible lograr la conservación del geopatrimonio en tres niveles: físico, funcional y visual.

Explore what popular food influencers among Flemish emerging adults portray in their Instagram recipe posts in terms of (1) references to food literacy, (2) nutritional value, (3) rational and emotional appeals and (4) the relation between the nutritional value and rational/emotional appeals.

A content and nutritional analysis of Instagram recipe posts from seven food influencers (N = 166).

Findings reveal that food influencers rarely embed references to food literacy in their recipe posts, especially regarding meal planning, food selection, meal consumption and evaluating food-related information. Only in 28.9% of the posts information was given on how to prepare a recipe. Second, 220 recipes were included in the 166 recipe posts, of which the majority (65%) were main course meals that met at least six of the 11 nutrient criteria for a healthy main meal (67.2%). Finally, food influencers promote their recipe posts as positive narratives, focusing on the tastiness (66%) and convenience (40.9%) of meals.

This is the first study to evaluate what food influencers post nutritionally in their Instagram recipes, as well as how they promote these recipes. Health promotors should note the influential role of food influencers and seek ways to collaborate to provide information on how food literacy cues can be embedded in influencers' communications and provide insights into how influencers' recipes can be optimised.

Companies should enhance their market position and competitiveness by improving staff effectiveness, skills, resource commitment, and applying relevant managerial methods. This study aims to examine the impact of knowledge management (KM) and total quality management (TQM) on employee effectiveness (EE) and supply chain performance (SCP) in emerging economies.

The used methodology consists on conducting a survey within Tunisian companies, where the authors gathered 206 responses. Collected data was analyzed using statistical package for the social sciences (SPSS) software, enabling the authors to establish a conceptual model. This model was further examined through structural equation modeling, using analysis of moment structures (AMOS) software for hypothesis validation. Additionally, the authors’ research aimed to enhance SCP and boost EE while minimizing costs through a nonlinear mathematical model and the quality function deployment method.

The results indicate that TQM and KM positively impact EE, and KM and EE positively impact SCP. However, the significance of employee performance on SCP varies depending on company location and industry sector studied.

This work emphasized the involvement of small- and medium-sized enterprise managers from emerging economies in the studied concepts and confirmed the effects of KM and TQM practices on EE and SCP.

Organizations deal with digital technologies to achieve their strategic goals. The shift toward digitization is a major challenge because it requires companies to create a digital outlook that influences organizational design. As a result, investigation of institutional theory and entrepreneurial orientation theory in the European food industry has become the focus of research in recent times.

To this end, data were collected from 83 companies related to the food industry in the European context. By applying a hybrid phase of the partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) methods, this study captured the causal–non-linear relationships among the study constructs.

The findings revealed that the variables of institutional theory and entrepreneurial orientation theory affect the adoption of the digital strategy. There is also a dual interaction role for e-business capabilities and digital transformation. The results of non-linear relationships confirmed that digital strategy adoption is highly influenced by digital transformation, followed by risk-taking, digital leadership, e-business capabilities, organizational agility, proactiveness and innovativeness.

The authors provided significant implications for practitioners and academics about the most influential determinants of digital strategy – businesses must move swiftly toward digitization across its various units to achieve their objectives. An organization’s leadership must realize that equipping the employees with necessary skills is the first step toward digitalization.

The current study underscores the digital strategy, which is usually an overlooked area of investigation, in the food industry. The study identifies some important predictors of digital strategy adoption with the interaction’s role of digital transformation and e-business capabilities. Such relationships have been rarely discussed. In addition, the adoption of a hybrid SEM-AAN approach makes the study an original one.

Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator.

A quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey.

Findings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people.

The study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).

Since previous literature provides fragmented and conflicting results about the use of digital data for product innovation, the article aims to comprehensively explore and shed light on how agri-food firms utilise external and internal digital data sources when dealing with different product innovations, such as incremental, architecture and radical innovation.

This paper adopts an exploratory multiple-case study and a theory-building process, focussing on the agri-food industry. We collected primary and secondary data from eight manufacturing companies.

The findings of this research show an empirical framework of six agri-food firms’ digital data utilisation behaviours: the supervisor, the passive supervisor, the developer, the passive developer, the pathfinder and the conjunction behaviour. These digital data utilisation behaviours vary according to a combination of data sources, such as internal data related to inside phenomenon measures (e.g. data generated by sensors installed in the production plan) or external data (e.g., market trends, overall sector sales), and innovation purposes.

This article offers guiding principles that assist agri-food companies when utilising internal and external digital data sources for specific product innovation outcomes such as incremental, architectural and radical innovation.

The significance of external and internal data sources in stimulating product innovation has garnered substantial attention within academic discussions, highlighting the critical importance of analysing digital data for driving such innovation. Nonetheless, the predominant approach is to study a single innovation outcome through the lens of digital technology. In contrast, our study stands out by adopting a fundamental perspective on data sources, enabling a more nuanced explanation of the overall product innovation outcomes within the agri-food sector.