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This study aims to investigate the impact of technologies on the knowledge transfer process. In particular, the authors aim to analyze the topic of knowledge brokers and the relationship between broker and digital tools in the knowledge transfer process in the sport context. The study developed, therefore, aims to investigate the creating of this environment for knowledge transfer and knowledge sharing between man and machine, looking to improve the planning of technical sports projects of the clubs.

This paper presents a qualitative approach aimed at analyzing how platforms and the players’ agents can be useful tools in the knowledge transfer process. The research was conducted through a survey with a structured questionnaire via e-mail to 64 managers at the head of clubs playing in the Italian Series B basketball in the 2021–2022 championship. The total number of questions administered is 21.

The results demonstrate how sports directors, for the construction of a technical sports project, in addition to learning off the pitch by interactions with media, fans, pressure management, leadership skills, positive attitude, tolerance, understanding of other opinions, background and cultures, see the athletes’ agents as the main stakeholder of the managers. The research resulted, by the clubs’ managers, in both formal learning and informal-type learning. Informal learning, by far the most frequently used and most important in the general learning process of executives, is identified in the use that executives make of information available on digital platforms and of the fiduciary relationships that management has with players’ agents.

The results demonstrate the valuable opportunities for executives, coaches, managers and clubs to strategically manage learning and knowledge sharing. Improving and managing knowledge-sharing strategies would help increase knowledge, not only of the sports directors but also of the entire club, thus improving the absolute quality of the game within the Italian basketball divisions. The authors have developed an innovative framework regarding the construction of a “typed sports technical project”, and the authors have identified a series of crucial phases capable of determining the creation of a new roster of athletes.

Although the use of artificial intelligence (AI) has been estimated to be up to 56% in the last decade, the adoption rate of AI for communication activities is still low. The lack of in-depth literature on the subject, and the limited sharing of the experience gained by companies, limits the creation, dissemination and consolidation of understanding in this area. The purpose of this study is to solve the problem of the absence of knowledge, identification, skills development and introduction of an innovation (such as the AI in the business communication) in the company, with the principles of knowledge management (KM).

This study adopts the perspective of KM to provide guidelines for the definition of standards and facilitate the introduction of AI in business communication.

To the best of the authors’ knowledge, this study is the first to relate the perspectives of business communication, AI and KM, activating a virtuous circle between KM and AI. At the centre of the proposed model are people, processes and technologies, based on which KM represents the ideal perspective to define the implementation of AI. This is primarily from the perspective of augmented intelligence, owing to the inability of AI to completely replace humans in the business communication processes, as it lacks, among others, emotional intelligence.

This study finds in KM a possible strategy to solve the problems faced so far in applying AI in business communication processes, providing a model capable of transforming and adapting itself to the context, thanks to the open approach.

This study contributes to the literature by linking the introduction of emerging technology (AI) in a specific process, such as business communication, from the KM perspective.

This paper aims to analyse the idea that experience acts as an antecedent in divestiture and triggers an organisational learning process that enables the divesting firm to convert experience into knowledge, increasing the probability that a firm will undertake subsequent divestitures.

The approach is quantitative. The research project used a case–control design, with a sample consisting of 274 divesting and non-divesting firms. Given the dichotomous nature of the dependent variable, the relations of the research model are tested using logistic regression.

The likelihood of a divestiture increases when firms have already had past experience of divestitures. Firm performance and firm size act as moderating variables, that is, the learning effects are weaker in firms with better past performance and also in larger firms.

The study contributes to the literature on organisational learning and divestiture. In particular, the knowledge obtained from previous divestitures is positively related to subsequent ones. The results on firm size and performance as contingency factors make it possible to distinguish between the different learning mechanisms in proactive and reactive divestitures, as well as in larger and smaller firms. Accordingly, a two-level framework of experience and knowledge is proposed.

The results are of interest for practitioners who need a better understanding of the antecedents of their strategic actions in terms of past experience and knowledge. The study also offers insights into the knowledge management practices that fit into the proposed two-level framework of knowledge accumulation.

The originality of the study consists in the strong evidence of learning effects in divestitures that it finds. This study augments a promising line of research on the effect of experience in rare strategic decisions, enriching our understanding of the learning mechanisms associated with complex experiences.

The purpose of this paper is to contribute to the understanding of the relationship between employees’ knowledge and organisational performance.

Using a structural equation model, feedback received from 237 blue-collar workers from multinational high-tech manufacturing enterprises in Italy was studied to understand, from a dynamic capabilities perspective, the role of soft skills in the career success of production workers.

The results of the analysis indicate a positive relationship between workers’ commitment to develop their soft skills and their career success, as well as a positive relationship between an organisation’s approach to both knowledge exploration and knowledge exploitation and the prospects for career success of blue-collar workers.

The research has both theoretical and practical implications, as any efforts by researchers and practitioners to find effective ways to motivate the workforce will be likely to lead to a positive attitude towards learning and, ultimately, to improved business performance.

The originality of the paper is the focus on the personality and interpersonal attributes of workforce – blue-collar workers – and how they can affect business performance in highly innovative contexts.

This study empirically examines the relationship between human capital ecosystems and entrepreneurial ecosystems. The study also investigates the mediating roles of digital knowledge capability and innovation capability and the moderating role of technology turbulence in the entrepreneurial ecosystem.

The study takes inputs from existing literature and resource-based view (RBV) and absorptive capacity theories and develops a theoretical model. Later, the model is validated using the structural equation modeling technique with data collected from India-based startup enterprises.

The authors found a nexus between human capital and entrepreneurial ecosystems. The study also highlights that enterprises' digital knowledge capability and innovation capability significantly influence the entrepreneurial ecosystem. The study also found that technology turbulence has a significant moderating impact on the relationship between digital knowledge capability and innovation capability in entrepreneurial ecosystems.

The study shows the importance of developing human capital for improving enterprises' innovation capability and digital knowledge capability, which are also important to develop the entrepreneurial ecosystem. Entrepreneurs can use the proposed model in their enterprises for appropriately developing the entrepreneurial ecosystem.

The authors propose a theoretical model for entrepreneurial ecosystems, from the human capital perspective, which entrepreneurs could use to improve the overall organizational performance. Moreover, the model uses technology turbulence as a moderator, which is also a novel approach. The study also adds valuable knowledge to the overall body of literature of intellectual capital.

The purpose of this paper is to bring the attention of the intellectual capital (IC) research and practice communities to the value of IC in hotels' efforts to resolve or mitigate environmental problems over time. This research has been set to examine the relationships between key KM and IC concepts including environmental knowledge structures and exploitation and exploration of environmental knowledge (EK) as drivers of environmental organisational learning. The research has also examined the relevance of pro-environmental behavioural intention capital (PEBIC) as a component of structural capital and therefore an integral part of the intellectual capital of hotels.

The data analysis technique used to test the proposed conceptual model is partial least squares structural equation modelling (PLS-SEM). Sample received from 87 companies from the Spanish hospitality sector in a longitudinal study (six years).

The results support that environmental knowledge structures (exploitation and exploration) has a positive impact on PEBIC over time. In other words, environmental organisational learning has the capability to create structural capital in hotel over time.

The research has addressed the challenges of exploration and exploitation of EK and PEBIC from a perspective not previously covered in the extant literature, further improved by the longitudinal nature of this study. Our focus on the hospitality sector makes this research relevant for management structures at numerous of hotels, as well as to their supply chains around the world. In addition, this research highlights the value to create structural capital through EK and organisational learning in the context of take care of our natural resources.

The present study aims to describe the micro-dynamics of decision-making that refer to knowledge translation pursued by organizational actors to see how they affect the travel of new ideas within the managerial practice of Project Portfolio Management (PPM). The study focuses on how the alignment of actors' meanings is reached at the organizational level and how they move towards a common direction by synthesizing information and negotiating meanings across the activities that constitute PPM. The study also investigates the intermediation function of information support systems in knowledge translation, which brokers information among those involved in the PPM practice.

This piece of research uses an inductive, qualitative research approach and a methodological combination of case study research and grounded theory to investigate and explore the processes of knowledge transfer and translation enacted by the organizational actors (both human and non-human) involved in innovation portfolio decision-making.

The findings of this research reveal the sequence of portfolio decision-making process that confirms that PPM occurs not only in a single hierarchical level or meeting, but that decisions are made across different organizational levels in a complex network of relationships where many actors are involved. We also show that the technological artefacts have an intermediate role in knowledge translation.

Despite referring to a single case study, the results discussed in this piece of research provides insightful evidence for academics and practitioners alike. In fact, the paper discusses organizational pre-alignment and alignment as a crucial enabler of knowledge transfer. Moreover, the intermediate role of an information support system is discussed.

Our study highlights the positive effect on actors' meaningful participation in PPM associated with the adoption of information support systems in PPM. Moreover, our results highlight the importance of considering a horizontal perspective in the decision-making process, so that knowledge translation occurs by leveraging on all the actors' breadth of experience and expertise.

This research emphasizes two organizational routines termed as decision- making preparation processes that were identified as key enablers of portfolio decision-making: cross-functional pre-alignment and an information support system.

The purpose of this paper is to examine how organizational workers improve their perceived mobile user experience (UX) locus of control affected through organizational ambidexterity when using enterprise mobile systems (EMS). This study investigates the mediation role of business process customizability in the relationship between habitual use of EMS by individuals and organizational ambidexterity.

Over 150 possible respondent mobile phone users across 40 organizations in metropolitan National Capital Region (NCR) of Delhi with approximately were given the questionnaire. The data of a total of 121 NCR valid respondents aged between 22 and 49, after scrutinizing all collected questionnaires and removing those that had too many missing values or had the same answer to all questions, were used for analysis. The respondents were sampled from a research panel directory of a set of firms of the research firm hired for this survey.

The study finds complete mediation between the habitual use of EMS and organizational ambidexterity. Importantly, the empirical findings provide the research community with a deeper understanding of how EMS usage impacts organizational ambidexterity and individual’s UX locus of control.

It draws some newer areas of research with respect to interactions between enterprise mobile systems, business process customization due to enterprise mobile systems and organizational ambidexterity, which were hitherto unexplored.