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This micro-level study unpacks the recruitment and retention of international professionals to small and medium-sized enterprises (SMEs). The study highlights the influence of the founders' international experience when applying organisational-level (meso) policies and practices. With their insider experience as skilled migrants, we share how the founders in each of the SMEs mobilised career capital into human resource management (HRM) strategies.

Combining literature on SMEs and skilled migrants' careers, we draw upon intelligent career theory to illuminate the recruitment and retention of self-initiated expatriates and skilled migrants in SMEs. With three SME case studies as samples–one micro, one small and one medium-sized organisation in Ireland–we consider the influence of the founders' international experience in the design and application of formal and informal HRM strategies (at the organisational level) that are operationalised to recruit and retain international talent to/in these organisations.

The HRM practices in the three SME cases in this paper, each run by migrant founders, vary from formalised (for our medium-sized organisation), semi-formalised (for our small-sized organisation) to ad hoc and tailor-made (for our micro-sized organisation). These particular SMEs were often more receptive to hiring other migrants. The important role of the three SME case studies' skilled migrant founders and their own international career experiences was apparent in the particular HRM approaches they adopted. The relevance of intelligent career theory when applying micro-level findings at the meso-organisational level is shown.

The paper presents how the international experience of founder–managers, in turn, impacts on the HRM practices and policies that are implemented to recruit and retain international employees. The study highlights how both organisation size and founder-manager international experience influence the degree of customisation of HRM practices and policies in SMEs, specifically pertaining to the recruitment and retention of self-initiated expatriates and skilled migrant employees. The heterogeneity within the sub-categories encompassed under the umbrella label of SME is emphasised; validating our case study approach, where nuance and detail of the specific organisation can be shared.

Stephen Hodgetts read the e-mail over and over again and still could hardly believe what he had read. He had just come back from his vacation, well rested and refreshed, and this e-mail had dampened his high enthusiasm. It took time to absorb such bad news and for Hodgetts to get over his incredulity.Yet in the end Hodgetts accepted the truth‐a deep, dark terrible truth that would not go away. Robert Davis, his business partner’s son, had confirmed in an e-mail his worst fears about their newest business partner, David Russ.Many thoughts were running through his mind simultaneously yet each screamed to be heard.“How could he and his partner Richard Davis have been so blind, so trusting?” “How could Russ not have heeded the advice of his business partner, Richard Davis, Russ’s former English professor?” And most important, “What was now going to happen to their new business?” Yet the one thought that continued to echo among them all was surprisingly a quote from Sir Arthur Conan Doyle’s beloved character, Sherlock Holmes: “But there are always some lunatics about. It would be a dull world without them.”

Family businesses do not perpetuate themselves. Entrepreneurs must nurture and propagate the values that led to the creation of the very thing most precious to them‐their business.This of course depends on stability. Nor do these cherished values propagate themselves. To be made meaningful for others, and for future generations, family experiences, values, and achievements must be communicated to others via language, narrative and storytelling, or other forms embedded in the narrative such as symbols. Often a variety of different socially constructed stories may be necessary contingent upon situation, purpose, or need.

Output from the Irish Dairy Industry has grown rapidly since the abolition of quotas in 2015, with processors investing heavily in capacity expansion to deal with the extra milk volumes. Further capacity gains may be achieved by extending the processing season into the winter, a key enabler for which being the reduction of duration of the winter maintenance overhaul period. This paper aims to investigate if Lean Six Sigma tools and techniques can be used to enhance operational maintenance performance, thereby releasing additional processing capacity.

Combining the Six-Sigma Define, Measure, Analyse, Improve, Control (DMAIC) methodology and the structured approach of Turnaround Maintenance (TAM) widely used in process industries creates a novel hybrid model that promises substantial improvement in maintenance overhaul execution. This paper presents a case study applying the DMAIC/TAM model to Ireland’s largest dairy processing site to optimise the annual maintenance shutdown. The objective was to deliver a 30% reduction in the duration of the overhaul, enabling an extension of the processing season.

Application of the DMAIC/TAM hybrid resulted in process enhancements, employee engagement and a clear roadmap for the operations team. Project goals were delivered, and original objectives exceeded, resulting in €8.9m additional value to the business and a reduction of 36% in the duration of the overhaul.

The results demonstrate that the model provides a structure that promotes systematic working and a continuous improvement focus that can have substantial benefits for wider industry. Opportunities for further model refinement were identified and will enhance performance in subsequent overhauls.

To the best of the authors’ knowledge, this is the first time that the structure and tools of DMAIC and TAM have been combined into a hybrid methodology and applied in an Irish industrial setting.

The purpose of this paper is to illustrate how game theoretic solution concepts inform what classes of problems will be amenable to artificial intelligence and machine learning (AI/ML), and how to evolve the interaction between human and artificial intelligence.

The approach addresses the development of operational gaming to support planning and decision making. It then provides a succinct summary of game theory for those designing and using games, with an emphasis on information conditions and solution concepts. It addresses how experimentation demonstrates where human decisions differ from game theoretic solution concepts and how games have been used to develop AI/ML. It concludes by suggesting what classes of problems will be amenable to AI/ML, and which will not. It goes on to propose a method for evolving human/artificial intelligence.

Game theoretic solution concepts inform classes of problems where AI/ML 'solutions' will be suspect. The complexity of the subject requires a campaign of learning.

Though games have been essential to the development of AI/ML, practitioners have yet to employ game theory to understand its limitations.