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To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.

This study aims to analyze the effects of the components of absorptive capacity (ACAP) – potential absorptive capacity (PACAP) and realized absorptive capacity (RACAP) on inbound and outbound open innovation (OI). In addition, this study investigates the moderating role that knowledge-oriented leadership (KOL) plays in the relationship between ACAP and OI.

This research adopts a quantitative approach, using structural equation modeling, in a sample of 218 companies in the Brazilian manufacturing sector, using a random sampling technique and self-administered questionnaire.

The results indicate that while PACAP positively influences inbound and outbound OI, RACAP has a significant relationship only with outbound OI. In addition, KOL moderates the significant relationships between PACAP and RACAP and OI, indicating that the development of a leadership that fosters learning and interaction between employees and sectors of the organization impacts the innovation results of companies in the manufacturing sector.

This study also shows that managers must have an active role in the construction of an organizational context that supports learning through initiatives that encourage the process of trial and error, teamwork and cooperation between employees.

This research advances previous studies by relating the two components of ACAP (PACAP and RACAP) with the two OI models (inbound and outbound), in addition to analyzing the moderating role that KOL plays in this relationship between ACAP and OI.

This paper aims to uncover patterns of Mexican craft beer consumers and guide companies’ decisions in the creation of new products, marketing strategies, advertising and promotion to increase craft beer sales and contribute to faster growth.

This is a conjoint analysis with a selection of attributes for new or renewed products, marginal disposition to pay for particular characteristics through brand-specific choice-based design, and market simulation.

This paper clearly demonstrates consumers’ preferences and willingness to pay in Mexico, with a cutting-edge market research technique combining the prioritization of preferred craft beer characteristics, and the price consumers are willing to pay for such product characteristics.

The study's sample size of 501 responses is relatively small compared to the total number of craft beer consumers in Mexico. To enhance the validity and reliability of the findings, future studies should aim to obtain larger samples and compare their results with those of this study.

This study has important implications for craft beer producers, allowing them to develop targeted craft beers with appealing attributes for Mexican consumers, such as color, aroma intensity, alcohol degree intensity, bitterness, foam level and price.

This study's market forecasting simulation technique is based on assumptions of consumer behavior and market dynamics. Although relevant variables were considered, unanticipated external factors or market changes could impact the forecasts' accuracy. This will allow for a more comprehensive understanding of craft beer consumer preferences in different markets and enhance the reliability of forecasting techniques.

This paper informs craft beer producers by providing valuable knowledge on customers’ preferences and willingness to pay to enhance craft beer companies’ product development processes.