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The paper aims to highlight the fact that Louis Dembitz Brandeis, well known for his time as a US Supreme Court Justice, was also very influential in promoting the virtues of scientific management in its early period of development while America was experiencing progressivism. In addition to his well known brilliance as a legal scholar, he was also a proponent of the importance of the role of efficient business practices in benefiting the worker and society in general. This paper aims to discuss the relationship between Brandeis and the scientific management movement that evolved over a period of decades that ultimately led to their mutual success.

Through a discussion of the key relationship developed between Brandeis and scientific management the paper shows how each was able to thrive during progressive times.

Over the span of his career Brandeis was adept at blending his appreciation and understanding of efficient business practices based on scientific management concepts with his view of a legal society. His legal and judicial temperament were best illustrated by his well known Brandeis brief which methodically combined economic facts and statistics of work performance with sound and convincing legal recommendations.

This is a historical account that provides a better understanding of the key role that Brandeis played in highlighting the field of scientific management while at the same time applying its concepts in a unique way to issues in the law and society.

The purpose of this paper is to investigate the perceptions that managers have of the value and reliability of using big data to make hotel revenue management and pricing decisions.

A three-stage iterative thematic analysis technique based on the approaches of Braun and Clarke (2006) and Nowell et al. (2017) and using different research instruments to collect and analyse qualitative data at each stage was used to develop an explanatory framework.

Whilst big data-driven automated revenue systems are technically capable of making pricing and inventory decisions without user input, the findings here show that the reality is that managers still interact with every stage of the revenue and pricing process from data collection to the implementation of price changes. They believe that their personal insights are as valid as big data in increasing the reliability of the decision-making process. This is driven primarily by a lack of trust on the behalf of managers in the ability of the big data systems to understand and interpret local market and customer dynamics.

The less a manager believes in the ability of those systems to interpret these data, the more they perceive gut instinct to increase the reliability of their decision making and the less they conduct an analysis of the statistical data provided by the systems. This provides a clear message that there appears to be a need for automated revenue systems to be flexible enough for managers to import the local data, information and knowledge that they believe leads to revenue growth.

There is currently little research explicitly investigating the role of big data in decision making within hotel revenue management and certainly even less focussing on decision making at property level and the perceptions of managers of the value of big data in increasing the reliability of revenue and pricing decision making.

The purpose of this paper is to coordinate the different stages involved in designing a “CSR approach” in order to visualize and analyze micro-contradictions occurring between players in a multidisciplinary team.

This intervention research project was spread over three years and conducted within an establishment for dependent elderly people (EDE).

This research extends Engeström's work to highlight the micro-contradictions identified and their nature. These micro-contradictions are reduced and investigated through mediator artifacts incorporating new knowledge.

The main limitation of the research study is that the authors were unable to completely validate Engeström's model, including the notion of instrument. The actors involved all belong to the same organization and use the same tools. This study would be worth repeating with a project team featuring actors from different organizations in order to grasp the concept of instruments used by individual actors.

On the managerial front, the authors draw managers' attention to the importance of collaborative construction of management tools, which can improve the governance of their organizations.

The originality of this paper is based on the opportunity for the long-term analysis of the relationship between potential disturbances and the generation of new knowledge during collaborative work involving a multidisciplinary team. This study is useful for this type of establishment, especially within the context of the current health crisis.

This paper aims to analyse and discuss five longitudinal case studies in which the authors have investigated how, in a specific subset of the creative industry, i.e. the arts and crafts organizations, knowledge can be systematized and transferred, becoming a real source of competitive advantage.

As no prior empirical research on the relationship among knowledge, knowledge transfer the role of craftsmen is available, an exploratory, qualitative research design seems advisable to study the phenomenon in detail. In setting up a multiple case study, the authors established a sampling frame of criteria associated with the theoretical background and research interest of this study: the case firms had to be arts and crafts organizations well-known for the high quality and value of their artifacts and have a solid reputation for preserving the tradition and the uniqueness of their manufacturing processes.

It has emerged the importance of craftsmen within arts and crafts organizations, whose know-how and technical skills are high valued by colleagues, by the market (customers), within the society and the territory where they operate. The knowledge acquired and retained by the craftsmen becomes therefore crucial for the survival of the arts and crafts organizations and for their profitability in the long term.

From the empirical investigation, it has emerged a certain unawareness at managerial level of the strategic relevance of the craftsmen knowhow and skills and of how to practically and effectively transfer their knowledge to a future generation of young craftsmen to continue to satisfy a unique and exclusive market demand. Furthermore, it has emerged the lack of a common knowledge transfer policy to different organizations. Therefore, it has not been possible to define a standard framework for the knowledge transfer process because it is influenced by the organizational structure, the management style of the organization owner (very often a family that retains the totality of the organization shares/quota), the social context and the territory where the organization is located, as well as the target market and the specific niche of customers who buy the organization’s products. This result represents a potential threat for the survival of arts and crafts organizations in the long run.

A common result that has emerged is that craftsmen play a crucial role for the success of arts and crafts organizations, through the creation and production of exclusive, high value products; hence, it is crucial to preserve and transfer properly their knowhow and skills. This result is particularly relevant for the world of practice: in a time where globalization demands for the relocation of production processes and technology automates several job tasks, the variegated world of arts and crafts, where the handmade abilities and skills of craftsmen cannot be replicate, imitate or standardize, becomes extremely important for the economy of several countries, among which Italy.

At social level, the activity of arts and crafts organizations help preserve the uniqueness and exclusivity of the heritage and culture of the territory where they are located, and reflect the tradition of such territory, the knowhow and ability of its inhabitants and help preserve this unique reservoir of competences and knowhow.

The contribution builds on the lack of practical understanding of the relationship between knowledge and the role played by craftsmen in the knowledge transfer process within arts and crafts organizations, and how effective such process is realized. This because despite the interest of many authors toward both knowledge management and transfer within the creative industry, there is a lack of studies aimed at linking systematically these two research areas. This is a relevant issue since knowledge in creative industries mainly refers to the traditions and values at the basis of an organization’s culture, tends to manifest itself in a tacit way and is difficult to analyze because it mainly exists in the mind of individuals as the result of their working experience not expressed in an explicit form.

During the supply chain disruptions caused by COVID-19, logistics service providers (LSPs) have invested heavily in innovations to enhance their supply chain resilience capabilities. However, only little attention has been given so far to the nature of these innovative capabilities, in particular to what extent LSPs were able to repurpose capabilities to build supply chain resilience. In response, using the concept of exaptation, this study identifies to what extent LSPs have discovered and utilized latent functions to build supply chain resilience capabilities during a disruptive event of high impact and low probability.

This conceptual paper uses a theory building approach to advance the literature on supply chain resilience by delineating the relationship between exaptation and supply chain resilience capabilities in the context of COVID-19. To do so, we propose two frameworks: (1) to clarify the role of exaptation for supply chain resilience capabilities and (2) to depict four different exaptation dimensions for the supply chain resilience capabilities of LSPs.

We illustrate how LSPs have repurposed original functions into new products or services to build their supply chain resilience capabilities and combine the two critical concepts of exploitation and exploration capabilities to identify four exaptation dimensions in the context of LSPs, namely impeded exaptation, configurative exaptation, transformative exaptation and ambidextrous exaptation.

As one of the first studies linking exaptation and supply chain resilience, the framework and subsequent categorization advance the understanding of how LSPs can build exapt-driven supply chain resilience capabilities and synthesize the current literature to offer conceptual clarity regarding the varied implications and outcomes linked to the repurposing of capabilities.

The presented research explored artificial intelligence (AI) application in the learning and development (L&D) function. Although a few studies reported AI and the people management processes, a systematic and structured study that evaluates the integration of AI with L&D focusing on scope, adoption and affecting factors is mainly absent. This study aims to explore L&D-related AI innovations, AI’s role in L&D processes, advantages of AI adoption and factors leading to effective AI-based learning following the analyse, design, develop, implement and evaluate approach.

The presented research has adopted a systematic literature review method to critically analyse, synthesise and map the extant research by identifying the broad themes involved. The review approach includes determining a time horizon, database selection, article selection and article classification. Databases from Emerald, Sage, Francis and Taylor, etc. were used, and the 81 research articles published between 1996 and 2022 were identified for analysis.

The result shows that AI innovations such as natural language processing, artificial neural networks, interactive voice response and text to speech, speech to text, technology-enhanced learning and robots can improve L&D process efficiency. One can achieve this by facilitating the articulation of learning module, identifying learners through face recognition and speech recognition systems, completing course work, etc. Further, the result also shows that AI can be adopted in evaluating learning aptitude, testing learners’ memory, tracking learning progress, measuring learning effectiveness, helping learners identify mistakes and suggesting corrections. Finally, L&D professionals can use AI to facilitate a quicker, more accurate and cheaper learning process, suitable for a large learning audience at a time, flexible, efficient, convenient and less expensive for learners.

In the absence of any systematic research on AI in L&D function, the result of this study may provide useful insights to researchers and practitioners.