Programa del congreso

A pesar de la evidente conexión entre digitalización y sostenibilidad, en muchas organizaciones ambas estrategias están operando en paralelo y no de forma coordinada. Por ello, el objetivo de este trabajo es proponer un modelo que analice la conexión existente entre estas dos variables en el ámbito empresarial y además relacionarlas con la innovación y la Responsabilidad Social Corporativa (RSC). De este modo, se analizan los resultados de una encuesta que fue contestada por 98 gerentes de empresas españolas, mediante el software PLS, especialmente adecuado para el estudio de Ecuaciones Estructurales, como el propuesto en este trabajo. Las conclusiones señalan que las empresas más innovadoras, son efectivamente, las que más invierten en digitalización y sostenibilidad. También hemos comprobado cómo la digitalización influye positivamente en la sostenibilidad y que tanto la sostenibilidad como la digitalización se relacionan ambas directamente con las estrategias de RSC. Sin embargo, la innovación per se no es un requisito para la RSC, sino que estas acciones de Responsabilidad Social se darán cuando las innovaciones se asientan en estrategias de digitalización y sostenibilidad.

• Purpose: This study aims to study the influence of readiness to adopt generative AI tools on employee performance, with a secondary focus on the role of trust in these tools within the workplace environment to foster job engagement.

• Theoretical framework: This research integrates two foundational theories to construct its theoretical framework. Firstly, Technology Readiness (TR) theory, which posits that adoption and utilization of advanced technologies are influenced by underlying motivators and inhibitors. Secondly, the Technology Acceptance Model (TAM) framework is employed to further explore how user experience impacts on trust of these tools and on work engagement. This theoretical amalgamation provides a multifaceted perspective on technology adoption in the workplace.

• Methodology: Employing a structural equation modelling approach, the research analyses data from a sample of 251 professionals who integrate generative AI into their daily tasks. This data was collected in Spain in December 2023.

• Findings and implications: The study reveals that while the inclination to adopt and utilize state-of-the-art generative AI technologies is pivotal for their acceptance, it does not directly correlate with enhanced workplace performance. Crucially, trust in these technologies emerges as a vital mediator, fostering improved work engagement and subsequently enhancing performance.

Objetivos: This research delves into the factors that come before supply chain resilience by investigating the connections between the complexity of supply chain delivery and the utilization of resources that offer inter-organizational capabilities based on Industry 4.0 technologies.

Marco teórico: A conceptual model rooted in the principles of Resource Orchestration Theory is formulated.

Metodología: Cluster and ANOVA analyses based on survey data from a sample of 338 Spanish firms were employed.

Resultados/implicaciones: The results demonstrate an inverse correlation between supply chain resilience and delivery complexity, while displaying a positive correlation with the adoption of Industry 4.0 technologies. Moreover, the findings suggest that the joint influence of delivery complexity and the utilization of Industry 4.0 technologies can mitigate the adverse impact of delivery complexity on supply chain resilience.

The aim of this study is to examine the mediating role of green corporate social responsibility (GCSR) in the relationship between green supply chain management (GSCM) practices and sustainable performance. Our goal is to enhance our understanding of incorporating green initiatives into our firms' shared vision, engaging different stakeholders, and gaining a competitive advantage for high sustainable performance. This research is framed under the NRBV and Stakeholder Theory Perspective to protect the environment by involving all possible stakeholders during the manufacturing process.

We utilized partial least squares structural equation modelling (PLS-SEM) to empirically test the proposed theoretical model using survey data from 215 manufacturing firms in Pakistan. Among other findings, GSCM and GCSR were positively associated with sustainable performance. In this regard, GCSR influenced the relationship between GSCM practices and sustainable performance.

These findings suggest that conducting socially responsible activities and incorporating green practices in firms' operations can have various benefits, such as retaining employees, attracting investors, customers, and enhancing brand image. The current study has implications for managers, policymakers, and researchers, as it reveals positive outcomes from investing in GCSR in developing countries.