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Purpose Drawing on consumer brand relationship theory, this study aims to investigate online brand engagement, brand trust and consumer brand identification as antecedents of brand love, amongst Generation Y and Z consumers. It explores the role of brand love in predicting consumers’ intention to co-create value and willingness to pay a premium price for the brand, for brands followed on social media. Design/methodology/approach Data from a study of 332 followers of brands on social media were analysed using structural equation modelling. Findings Results highlight the role of brand love in mediating the relationship between antecedents online brand engagement and consumer brand identification on intention to co-create value and willingness to pay a premium price. Consumers who trust the brand are more likely to intend to co-create value and are more willing to pay a price premium and these relationships are enhanced when the brand is loved. Practical implications Findings provide guidance for managers seeking to build brand friendship relationships with young consumers through social media. Results caution against a form of “superficial” friendship where the consumer may interact and co-create value online, yet fail to value the brand, evidenced through a willingness to pay a premium price. Originality/value The research identifies the critical role of brand love in fostering relationships with brands that young consumers follow on social media. The study reveals that neither online brand engagement nor consumer brand identification will result in co-creation of value or willingness to pay a premium price unless the consumer experiences brand love.

Cultural heritage, in the educational and training sphere, is of great impact due to its multidimensional and multidisciplinary being. Promotes a relationship of knowledge and conscious identity with the territory; it offers ways of inter- acting with cultural resources, allowing the school to guarantee pupils well-being, educational success and above all operational autonomy, through creativity and productivity. In this way, students become “producers” of content - complex and structured - and digital architectures. The digital skills of students allow them to learn, participating in society, characterized by cultural diversity, with a critical and responsible spirit, developing emotions and enhancing places and cultures. The specific tools used are all open source platforms, which allow a transfer between the virtual world and the real world, through collaboration and sharing.

Half a century of research and program evaluation has fueled a diverse landscape of early childhood policies and practices that produce a range of positive effects on the life prospects of children who face the burdens of significant adversity. Drawing on advances in neurobiology, developmental psychology, developmental psychopathology, and prevention science, this paper presents a framework for elucidating underlying causal mechanisms that explain differences in outcomes, formulating enhanced theories of change about how to shift developmental trajectories, designing creative interventions and rethinking the concept of a two-generation strategy to produce breakthrough impacts, and launching a new era of investment in young children and their families that will achieve greater reductions in intergenerational disparities in learning, behavior, and health than those produced by current best practices. Particular attention is focused on the hypothesis that substantially better outcomes for vulnerable, young children could be achieved by greater attention to strengthening the resources and capabilities of the adults who care for them rather than by continuing to focus primarily on the provision of child-focused enrichment, parenting education, and informal support. Central to achieving this goal is the need to establish an innovation-friendly environment that embraces fast-cycle sharing, supports risk taking, and celebrates learning from failure.

Achieving global goals for sustainable nutrition, health, and wellbeing will depend on delivering enhanced diets to humankind. This will require instantaneous access to information on food-source quality at key points of agri-food systems. Although laboratory analysis and benchtop NIR spectrometers are regularly used to quantify grain quality, these do not suit all end users, for example, stakeholders in decentralized agri-food chains that are typical in emerging economies. Therefore, we explored benchtop and portable NIR instruments, and the methods that might aid these particular end uses. For this purpose, we generated NIR spectra for 328 grain samples from multiple cereals (finger millet, foxtail millet, maize, pearl millet, and sorghum) with a standard benchtop NIR spectrometer (DS2500, FOSS) and a novel portable NIR-based instrument (HL-EVT5, Hone). We explored classical deterministic methods (via winISI, FOSS), novel machine learning (ML)-driven methods (via Hone Create, Hone), and a convolutional neural network (CNN)-based method for building the calibrations to predict grain protein out of the NIR spectra. All of the tested methods enabled us to build relevant calibrations out of both types of spectra (i.e., R2 ≥ 0.90, RMSE ≤ 0.91, RPD ≥ 3.08). Generally, the calibration methods integrating the ML techniques tended to enhance the prediction capacity of the model. We also documented that the prediction of grain protein content based on the NIR spectra generated using the novel portable instrument (HL-EVT5, Hone) was highly relevant for quantitative protein predictions (R2 = 0.91, RMSE = 0.97, RPD = 3.48). Thus, the presented findings lay the foundations for the expanded use of NIR spectroscopy in agricultural research, development, and trade.

In recent years, with the increase in the volume and complexity of data, choosing a suitable database for storing huge amounts of data is not easy, because it must consider aspects such as manageability, scalability, and extensibility. Nowadays, the NoSQL databases have gained immense popularity for their efficiency in managing such datasets compared to relational databases. However, relational databases also exhibit some advantages in certain circumstances, therefore many applications use a combined approach: relational and non-relational. This paper performs a comparative evaluation of two popular open-source DBMSs: MySQL Document Store and Elasticsearch as non-relational DBMSs; this comparison is based on a detailed analysis of CRUD operations for different amounts of data showing how the databases could be modeled and used in an application. A case-study application was developed for this purpose in Java programming language and Spring framework using for data storage both relational MySQL and non-relational Elasticsearch and MySQL Document Store. To model the real situation encountered in several developed applications that use both relational and non-relational databases, a data replication solution that imports data from the primary relational MySQL database into Elasticsearch and MySQL Document Store as possible alternatives for more efficient data search was proposed and implemented.

As chatbots gradually replace human employees on the front lines, how to optimize their services to promote value co-creation between the older adults and robots has become a key topic to tap the potential of the elderly market. Grounded in social presence theory, this research explores how chatbot language form affects older adults’ value co-creation intention. Through three experiments, the results revealed that the use of dialect increases cognitive effort, social presence, and enhances older adults’ value co-creation intention. In addition, the research also shows that this language effect varies in different situations. For the older adults with a high need for interaction, the use of dialects can effectively improve their value co-creation intention. However, for older adults with a low need for interaction, the effect was not significant. The study provides insights into how to flexibly use language strategies, such as dialects, based on the varying needs of different senior groups. It aims to encourage greater participation from older adults in value co-creation and further develop the senior market. Chatbots using Local Dialects help Seniors Engage Better with Technology With the global senior population growing rapidly, designing inclusive technology helps this group stay connected and engaged in the digital world. Chatbots should offer dialect options in regions where seniors commonly speak them, especially in high-interaction settings (e.g., travel planning). This reduces tech barriers and makes seniors feel understood, encouraging their active participation.

Managing water resources to meet current social, economic, and environmental needs without compromising the ability to meet those needs in the future, requires water managers to look beyond jurisdictional boundaries and their immediate supply operations, protect shared water and marine environments, resources and ecosystems from pollution and over-abstraction and deliver structural changes and resilient solutions to make the provision of water services sustainable. With a plethora of system tools increasingly available to support the sustainability transformation of water systems, sorting through their breadth and diversity to determine what is useful and what is not can be challenging. From a selection of 40 popular system tools grouped in terms of how they function, we review those most commonly used in water management through 35 water-related studies from the literature. Findings demonstrate that system tools are not a substitute for systems thinking and applying them alone does not qualify the development of systemic solutions. Systems thinking offers a powerful approach to first improving collective understanding of sustainability challenges related to water and then, in collaboration with a diverse group of stakeholders and the public, defining desired goals for water management and working together to make them a reality. System tools in that context can play an important role in facilitating the process and here we propose an overarching framework of how to select and apply available tools to facilitate a holistic, integrated, and interdisciplinary systems approach for water management and wider urban sustainability transitions.

It is often a challenge to predict the impact of ecosystem restoration because many critical relationships and feedbacks between natural and human systems are poorly understood. To address this knowledge gap, we introduce a novel framework to characterize restoration dynamics within coupled human-natural systems. Because dynamics surrounding restoration are complex, we investigate the potential for sense of place, i.e., emotional attachment to place, to elucidate relationships between human and natural systems during times of change, such as restoration. Integrating sense of place with ecological metrics, a typology of restoration scenarios that exemplify complex relationships between social and ecological drivers emerges. We propose an identify-visualize-create framework for parsing restoration objectives and curating sense of place around the functional ecosystem state. Achieving coupled human-natural objectives thus requires evaluation of baseline sense of place early in the restoration process and active pursuit of opportunities that build stakeholder attachment over the long term.

PurposeCustomers' participation in co-creation is a prerequisite for co-creation success. To identify customer co-creators, research has shown a recent interest in the role of personality traits as predictors of customers' engagement in co-creation. However, the empirical results regarding the direction and significance of these relationships have been inconclusive. This study builds on the five-factor theory (FFT) of personality to enhance one's understanding of the nomological network that determines the relationship between personality traits and customers' willingness to co-create (WCC).Design/methodology/approachBased on a large-scale empirical study on technology-based services (TBSs) in healthcare (n = 563), the authors empirically investigate the role of the five-factor model (FFM), innate innovativeness (INI) and enduring involvement (EI) in predicting customers' WCC using partial least squares structural equation modeling (PLS-SEM).FindingsThe authors’ empirical findings show that depending on the configurational setting of the personality traits tied to the FFM, INI and EI evolve as mediators in determining customers' WCC.Originality/valueThis study is the first to introduce the FFT of personality into co-creation research. The results of this paper shed light on the relationships between personality traits, characteristic adaptations and customers' WCC.

The constructivist approach is interested in creating knowledge through active engagement and encourages students to build their knowledge from their experiences in the world. Learning through digital game making is a constructivist approach that allows students to learn by developing their own games, enhancing problem-solving skills and fostering creativity. In this context two tools, Create@School App and the Project Management Dashboard (PMD), were developed to enable students from different countries to be able to adapt their learning material by programming and designing games for their academic subjects, therefore integrating the game mechanics, dynamics, and aesthetics into the academic curriculum. This paper focuses on presenting the validation context as well as the evaluation of these tools. The Hassenzahl model and AttrakDiff survey were used for measuring users’ experience and satisfaction, and for understanding emotional responses, thus providing information that enables testing of the acceptability and usability of the developed apps. After two years of usage of code-making apps (i.e., Create@School and its pre-design version Pocket Code), the pupils processed knowledge from their academic subjects spontaneously as game-based embedded knowledge. The students demonstrated creativity, a practical approach, and enthusiasm regarding making games focused on academic content that led them to learning, using mobile devices, sensors, images, and contextual information. This approach was widely accepted by students and teachers as part of their everyday class routines.