Search results

This document presents BasES, which is a tool kit disseminated as an open educational resource. BasES is focused on the topic of buildings-as-energy services, promoting the knowledge integration to envisage buildings as components of future distributed renewable and interactive energy systems (DRIs). BasES will allow users of exploring and analysing DRIs' emergent properties at the local level, developing, and implementing the tool kit proposed. The specific objective concerns the use of the tool kit in the organisation of a technology support net (TSN) for buildings-as-a-service. TSN is composed of a multitude of actors, who often have different perspectives and scopes, but they are called to work collaboratively in order to establish work rules, requisite skills, work contents, standards and measures, culture and organisational patterns with regard to the emergent systems. Buildings-as-a-service is a completely new topic, and thus, an appropriate TSN is needed urgently. Our tool kit (i.e. Buildings-as-Energy-Services; BasES) will be a ground-breaking cognitive apparatus for involving stakeholders in knowledge transfer and integration processes. Thus, a new generation of product-service systems will be promoted. BasES is expected to configure a multi-stakeholder co-designed UK roadmap on socio-technical innovation in DRIs transition.

This research aims at investigating how business process management capabilities (BPMC) impact the effectiveness of sustainable digital transformation (ESDT). Furthermore, it delves into the mediation of dynamic decision-making (DDM) in the relationship between BPMC and ESDT.

This research employed the hypothetico-deductive technique. The statistical database was generated from sample of 712 respondents from small and medium companies (SMEs) in Vietnam, utilizing convenience and snowball sampling methods. The two-step process utilizing structural equation modeling, supported by SmartPLS version 4.1.0.9 and AMOS 28, was employed to assess the measurement model, while SmartPLS version 4.1.0.9 was used to evaluate the structural model.

The results of the analysis emphasize significant and positive correlations between the proposed constructs related to significance and effect size. The statistical results indicated that BPMC had a significant and beneficial effect on ESDT. This relationship was partially mediated by DMM.

The salient point emphasized that practitioners should prioritize enhancing focus on BPMC and DDM, as this would significantly facilitate more comprehensive solutions, enabling SMEs to achieve optimal success in sustainable digital transformation. Policymakers and government influencers are urged to concentrate on innovative attributes and ensure a conducive environment for the implementation of innovation by enacting regulations that promote the application of digital technology.

The findings of this study will broaden scholars’ understanding of the influence of BPMC on ESDT. The originality of the research is to provide research directions for advancing studies on the role of DDM in the context of sustainable digital transformation.

This paper aims to understand the process of initiating ingredient/component (IC) branding from the supplier's perspective. It proposes modeling entrepreneurial orientation (EO) as an antecedent factor and differentiation abilities (functional and reputational) as mediators. Investigating IC branding from the supplier's perspective is critical given the cost and risk associated with implementing such a strategy.

A total of 5,254 manufacturing companies were screened to identify IC supplier firms that meet certain criteria. Survey data were collected from 77 top managers (Chief Executive Officers or Chief Marketing Officers) of IC supplier firms. The paper uses partial least squares structural equation modeling (PLS-SEM) and SPSS in analyzing data.

The results indicate that IC branding is a complex strategy – one involving a number of steps that need to be taken in a specific order. More specifically, results indicate that IC branding starts with EO exerting a positive influence on IC functional differentiation ability (FDA). FDA facilitates reputational differentiation ability (RDA), which in turn encourages the supplier to initiate IC branding.

This paper addresses an important gap by studying the process through, which suppliers initiate IC branding.

This paper aims to enhance the small and medium enterprises’ (SMEs) ability to develop resilience in the face of any turbulences, addressing the question on how these organizations can maintain business continuity when faced with a critical event.

A mediated regression analysis is conducted to investigate the relationships among big data analytics (BDA) capabilities, coinnovation (CI) and organizational resilience (OR) with reference to 192 big data SMEs in Europe.

Research reveals that the BDA capability and CI are positively associated with OR. Moreover, this study discovers the mediating impact of CI on the relationship between BDA capability and OR.

This paper provides important implications for considering CI as a viable strategy especially in a time of crisis and shows how SMEs are more able to recognize business opportunities. The microfoundations of the resilience building capacity of SMEs are also identified. These microfoundations become recommendations for practitioners to enhance SMEs’ responsiveness in light of coronavirus-related crises.

In the era of artificial intelligence, natural language processing (NLP) models are revolutionizing numerous sectors. This research aims to explore the perceived value of them among university students. In particular, it aims to investigate how gender may influence students’ intention to use these models in educational contexts, highlighting potentially significant differences that could inform the implementation and adoption of educational technologies.

This study investigates the relationship between perceived value and students' intention to adopt NLP models, considering gender as a moderator. The research involves 562 students from the University of Salerno, in Italy, and uses confirmatory factor analysis to evaluate the reliability and validity of the measurement scales. A regression model with robust errors is used to explore the moderating role of gender on the relationship between perceived value and intentions of use of NLP models.

The results reveal a significant positive association between perceived value and intention to use NLP models, confirming that students with higher perceived value are more likely to adopt these technologies. Furthermore, gender moderates this relationship, indicating that females are less prone to use NLP models than male counterparts.

Research takes on a significant role in the academic field, underlining the importance of adapting teaching practices to the increasingly widespread digitalization. The inclusion of NLP models in university programs emerges as a possible improvement of the learning experience, ensuring cutting-edge education in tune with the needs of the digital society.