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This study empirically examines a model that describes the direct path from perceived understanding of supply chain integration (PUSCI) to perceived understanding of supply chain responsiveness (PUSCR) to leverage supply chain manager's communication and teamwork competencies. This study also examines whether knowledge and task skill and proficiency mediate the relationship between PUSCI and PUSCR to improve the communication and teamwork competency of a supply chain manager.

The data were collected using a survey questionnaire that was mailed to the 413 supply chain managers of global manufacturing companies in Indonesia.

The result from model testing shows that PUSCR significantly and positively affected the communication and teamwork competency of supply chain manager and knowledge, task skill and proficiency as mediating variables improved communication and teamwork competency. The results found that PUSCI was related to supply chain manager's competency.

Supply chain managers are advised to focus on PUSCI and consistently improve effective communication and teamwork competency.

This study will extend the literature by utilizing the competency-based theory to investigate the perceived understanding and communication capabilities of supply chain managers.

The purpose of this study is to empirically evaluate the relationship between learning culture, workforce level, human capital and operational performance in two diverse supply chain populations, aircraft maintenance and logistics readiness.

Drawing upon competence-based view of the firm and human capital theory, this paper analyzes data from two studies.

The results provide support for the hypothesized model. Workforce level moderates the relationship between learning culture and human capital, and human capital partially mediates the relationship between learning culture and operational performance.

The findings have implications for behavioral supply chain management research and implications for educating and training the supply chain management workforce. While the populations represent a diverse set of logistics functions and responsibilities, the participants are all military members, which may limit generalizability.

This study should help leaders understand the importance of learning culture and the perceived differences in its effect on human capital based upon workforce level.

This research is among the first to investigate the role of workforce level and answers a multitude of calls for research into the human side of supply chain management.

This study explores insights from key stakeholders into the skills they believe will be necessary for the future of work as we become more reliant on artificial intelligence (AI) and technology. The study also seeks to understand what human resource policies and educational interventions are needed to support and take advantage of these changes.

This is a qualitative study where a sample of highly experienced representatives from a range of small to large Irish organisations, both public and private, provide insights into this important topic.

Findings indicate participants see a continued need for soft and hard skills as we evolve towards a more technologised workplace, with a need for employees to adopt a lifelong learning philosophy. As the knowledge economy in Ireland is well established, experts do not expect mass displacement to occur but differ with respect to the predicted rate of change. Novel HR interventions such as hiring for potential, pooling talent and establishing postgraduate supply contracts are seen as key. Current state interventions were mostly viewed positively but revamping of curricula is needed as well as stronger partnerships with tertiary institutions.

The interpretivist nature of the study limits the generalisability of the findings as they are based on a relatively small sample from one country. Also despite the significant expertise of the sample, it is not possible to predict whether their forecasts will manifest.

This research highlights the need for Irish SMEs to embrace the impacts of automation and AI as many are seen to be slow in reacting to changes in technology. The study also reveals cutting edge talent management interventions for employers to adopt that will insulate them from the challenges technological change presents to recruitment and employee development.

The findings from this paper culminate in the development of a conceptual framework, which encapsulates the responsibilities of all parties so that future skills needs will be met. This highlights the interplay between employers, individuals/employees, the Irish Government and educational institutions, demonstrating how they are interdependent on one another as we move towards a more technologised future.