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The purpose of this Real Impact Research Article is to empirically explore one of the most controversial and elusive concepts in knowledge management research – practical wisdom. It develops a 10-dimensional practical wisdom construct and tests it within the nomological network of counterproductive and productive knowledge behavior.

A survey instrument was created based on the extant literature. A model was developed and tested by means of Partial Least Squares with data obtained from 200 experienced employees recruited from CloudResearch Connect crowdsourcing platform.

Practical wisdom is a multidimensional construct that may be operationalized and measured like other well-established knowledge management concepts. Practical wisdom guides employee counterproductive and productive knowledge behavior: it suppresses knowledge sabotage and knowledge hiding (whether general, evasive, playing dumb, rationalized or bullying) and promotes knowledge sharing. While all proposed dimensions contribute to employee practical wisdom, particularly salient are subject matter expertise, moral purpose in decision-making, self-reflection in the workplace and external reflection in the workplace. Unexpectedly, practical wisdom facilitates knowledge hoarding instead of reducing it.

Managers should realize that possessing practical wisdom is not limited to a group of select, high-level executives. Organizations may administer the practical wisdom questionnaire presented in this study to their workers to identify those who score the lowest, and invest in employee training programs that focus on the development of those attributes pertaining to the practical wisdom dimensions.

The concept of practical wisdom is a controversial topic that has both detractors and supporters. To the best of the author’s knowledge, this is the first large-scale empirical study of practical wisdom in the knowledge management domain.

Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, the usefulness of the learning model decreases. This paper presents the development of a wisdom framework that reduces the error rate to less than 3% without human intervention.

The proposed WisdomModel consists of four stages: build a classifier, isolate the misclassified instances, construct an automated knowledge base for the misclassified instances and rectify incorrect prediction. This approach will identify misclassified instances by comparing them against the knowledge base. If an instance is close to a rule in the knowledge base by a certain threshold, then this instance is considered misclassified.

The authors have evaluated the WisdomModel using different measures such as accuracy, recall, precision, f-measure, receiver operating characteristics (ROC) curve, area under the curve (AUC) and error rate with various data sets to prove its ability to generalize without human involvement. The results of the proposed model minimize the number of misclassified instances by at least 70% and increase the accuracy of the model minimally by 7%.

This research focuses on defining wisdom in practical applications. Despite of the development in information system, there is still no framework or algorithm that can be used to extract wisdom from data. This research will build a general wisdom framework that can be used in any domain to reach wisdom.

Technology is revolutionizing the management logic of service systems. The increasing use of artificial intelligence (AI), in particular, is challenging interaction between humans and machines changing the service systems’ value co-creation configurations and logic. To envision possible future scenarios, this paper aims to reflect upon how the humans’ use of AI technology can impact value co-creation.

The study is developed, at a conceptual level, using selected elements from managerial and marketing theoretical frameworks interested in value co-creation – Service-Dominant Logic, Service Science and Viable Systems Approach (VSA) – used as interpretative tools to reframe value co-creation in the digital age.

The interpretative approach adopted and, in particular, the new VSA notion of Intelligence Augmentation (IA), in the perspective of the information variety model, shed new light on value co-creation in the digital age framing a possible “IA effect” that can empower value co-creation in complex decision-making contexts.

The study provides insights useful in the design and management of service systems suggesting a rethinking of the view of AI as a means for mainly increasing the smartness of service systems and a new focus on the enhancement of the human resources contribution to make the service systems wiser.

The paper provides a refocused interpretative view of the interaction between humans and AI that looks at a possible positive impact of the use of AI on humans in terms of augmented decision-making capabilities in conditions of complexity.

The purpose of this paper is to present an alternative platform, namely the Metaverse, to enhance and revolutionize the concept of living library experiences. The fourth industrial revolution has disseminated many innovative human experiences since the rapid development of modern technologies, such as artificial intelligence, the Internet of Things, virtual/augmented realities, blockchain, cloud computing and so on. Various combinations of these technologies have triggered newer tools and platforms for human beings. One of these combinations, perhaps the most unique and holistic case, is the Metaverse, which promises to offer immersive experiences for users. Many stakeholders have been discussing alternative applications of Metaverse platforms, and many developers have attempted to optimize this new technology. Libraries, as the central hub of human intellectuality, will not be an exception to Metaverse integration.

The authors undertook a meticulous examination of an extensive array of scholarly works across various databases to construct a comprehensive literature review. This exhaustive exploration encompassed databases spanning disciplines such as education, psychology, sociology, economics, ICT and so on, and included renowned platforms like PubMed, Scopus, and IEEE Xplore, among others.

In this paper, the authors concentrate on an alternative form of libraries: “living libraries,” where people share their experiences, knowledge and wisdom with others like a living book. Moreover, the authors discuss how the Metaverse and living libraries intersect and create an alternative sharing platform. The paper presents several illustrative scenarios for diffusing living libraries into Metaverse platforms. Finally, the paper articulates the possible challenges that this intersection may present to the current condition.

To the best of the authors’ knowledge, this is one of the first papers combining two innovative concepts: Metaverse and living library and suggests alternative scenarios for real-life experiences.

This qualitative study set within Northern Ireland aims to explore professional perspectives on the application of evidence-informed practice to the adult safeguarding threshold screening process.

Data was gathered from seven social workers in one health and social care trust area, who perform the designated adult protection role, through individual semi-structured interviews in one region of Northern Ireland. The interview schedule comprised of a series of questions examining the role of the designated adult protection officer and included three vignettes (Appendix). A thematic analysis was undertaken using NVIVO software.

This paper reports main findings under the themes of: the role of the designated adult protection officer, threshold decision-making, evidence-informed practice and service improvement. One of the main findings was that professionals viewed the current process as too bureaucratic, and there was a desire to engage in more preventive safeguarding in collaboration with service users. There was a need to promote awareness of evidence-informed practice as it applies to the threshold screening process. Furthermore, the study raised the question of the need to consider the application of models or methods of assessment to the threshold screening process.

This in-depth exploration of the role of designated adult protection officers in Northern Ireland provides a valuable insight into the complexity involved in managing adult safeguarding referrals and investigations. This study adds to the existing knowledge base, identifies potential service improvements and highlights the gap in evidence-based practice as it applies to the threshold screening process. Threshold screening of adult safeguarding referrals remains a subjective process and is open to interpretation and differences in professional judgement. The study highlights the need to consider the application of quality improvement methodology to the threshold screening assessment and the need to promote the exchange of safeguarding knowledge.

Responding to the continuing separation of participants and researchers in LIS participatory research, a new methodology is proposed: action partnership research design (APRD). It is asserted that APRD can mitigate or remove the hierarchical structures often inherent in the research process, thus allowing for equal contribution from all.

Building on the bonded design (BD) methodology and informed by a scoping literature review conducted by the same authors, APRD is a human-centered research approach with the goal of empowering and valuing community partnerships. APRD originates from research investigating the use of participatory design methods to foster collaboration between two potentially disparate groups, firstly with adult researchers/designers and elementary school children, and secondly with university faculty and IT professionals.

To achieve this goal, in addition to BD techniques, APRD draws inspiration from elements of indigenous and decolonization research methodologies, particularly those with an emphasis on destabilizing power hierarchies and involving research participants as full partners.

APRD, which emerged from findings from previous participatory design studies, especially those of BD, is based on the premise of partnership, recognizing that each member of a design team, whether researcher or participant/user, has unique expertise to contribute. By considering participants/users as full research partners, APRD aims to flatten the hierarchies exhibited in some LIS participatory research methodologies, where participants are treated more like research subjects than partners.

This paper presents insights on expatriates in Africa and sets out a research agenda for Africa’s expatriation. The objective of the paper is to provide background and context on expatriation in Africa and to stimulate and guide further research in this important area.

The reviewed papers were drawn from journals and other sources that reported on expatriation to/from African countries. It also incorporates an array of literature on contextual African issues, exploring conceptually how these relate to expatriation.

The review confirmed that there is little research on the topic, particularly with respect to outward expatriation and the studies that exist are one of a kind and stand alone. There has been no attempt to build systematic theory or develop a wholistic picture. This means that the field is wide open for more research. The data provide a picture of the current expatriate situation, including numbers, demographics, host/home locations, success rates and so on, and are provide a basis for further research developing and testing hypotheses regarding individual, organizational and country/national characteristics and how these influence and relate to expatriate experiences and outcomes. Researchers can also draw on the existing expatriation literature from around the world for replication studies to identify uniquely African issues as well as similarities with other locations. As Selmer (2016) noted, replication research is widely used in the sciences and is at the core of the scientific method and thus should be considered for expatriation research.

Limited previous research means there is a need for further research.

Expatriation is a critical aspect of companies operating internationally and companies are increasingly interested in doing business in African countries. Africa's economic growth and development are strong and foreign direct investment (FDI) into Africa is growing with consequent increases in the number of expatriates going to Africa. Understanding expatriation in the African context is thus very important to a variety of companies.

Management literature focusing on Africa is limited and this is true regarding expatriation. This means there is a need for researchers and practitioners to understand expatriation issues in this context, particularly considering economic growth on the continent, increasing interest in doing business there, along with increasing FDI and use of expatriates, as well as the expansion of African companies. This paper provides a research agenda as a guide on which researchers, including those in Africa, can build.

The current synthesis study was conducted to locate comprehensive perspectives about the transformation of higher education institutions from being the only places where formal education programs are offered into settings where lifelong learning can be integrated. This demands an inquiry through not only instance investigation but also a more comprehensive evidence upsurge which has great importance in obtaining lessons and drawing conclusions from existing facts to show how higher education institutions can be places where lifelong learning is promoted for the good of both individuals and societal advancement.

Using a meta-synthesis methodology, a comprehensive overview of the current state of knowledge in the area of higher education institutions' role in promoting lifelong learning was synthesized.

The study identified wide-ranging lifelong learning conceptualizations, potential beneficiaries, learning contents and ways of delivery that can be applied in higher education institutions. Furthermore, the practical challenges, partnership and coordination concerns and policy and reform issues towards promoting lifelong learning were addressed.

This meta-synthesis provides crucial evidence for higher education policymakers and practitioners seeking to guide the transformation of their institutions into settings where lifelong learning is integrated with other forms of educational programs, thereby optimizing individual's professional development and societal progress.

We propose a machine learning based methodology to deal with data collected from a mobile application asking users their opinion regarding fashion products. Based on different machine learning techniques, the proposed approach relies on the data value chain principle to enrich data into knowledge, insights and learning experience.

Online interaction and the usage of social media have dramatically altered both consumers’ behaviors and business practices. Companies invest in social media platforms and digital marketing in order to increase their brand awareness and boost their sales. Especially for fashion retailers, understanding consumers’ behavior before launching a new collection is crucial to reduce overstock situations. In this study, we aim at providing retailers better understand consumers’ different assessments of newly introduced products.

By creating new product-related and user-related attributes, the proposed prediction model attends an average of 70.15% accuracy when evaluating the potential success of new future products during the design process of the collection. Results showed that by harnessing artificial intelligence techniques, along with social media data and mobile apps, new ways of interacting with clients and understanding their preferences are established.

From a practical point of view, the proposed approach helps businesses better target their marketing campaigns, localize their potential clients and adjust manufactured quantities.

The originality of the proposed approach lies in (1) the implementation of the data value chain principle to enhance the information of raw data collected from mobile apps and improve the prediction model performances, and (2) the combination consumer and product attributes to provide an accurate prediction of new fashion, products.

This study aims to examine the relationships among structured-on-the job training (ST), mentoring, job rotation and the work environment factors on tacit knowledge transfer from training.

This study used quantitative research techniques to examine the causal relationships among the key study variables. A questionnaire-based survey has developed to evaluate the research model by drawing a convenience sample includes 239 employees working in the Arab Potash Company located in Jordan. Surveyed data were examined following the structural equation modeling procedures.

The results revealed that adapting of the ST, mentoring and job rotation in industrial firms had direct effect on the employees’ abilities to learn and transfer tacit knowledge from training to the actual work, and how these learning strategies strengthen employees’ abilities in solving work problems, improving customers’ satisfaction and quality of products and services. As well as, it affirmed the strong direct effect of work environment factors such as supervisor and peer support on the employees’ abilities to learning and transferring tacit knowledge to their jobs. However, this study showed that work environment factors have no significant mediating role on the relationship among ST, mentoring, job rotation and the employees’ abilities to learn and transfer tacit knowledge to their jobs.

The study results are opening the doors for future studies to examine the relationships among the methods of training and learning in the workplace, the work environment factors and tacit knowledge transfer from training to the jobs as prerequisites for improving the employees and organization performance. These results would be validated by conducting future research, examining larger samples of industrial companies to give more accurate data and clear explanations to the relationships among the study variables. It also suggests to replace the characteristics of work environment (supervisor support and peer support) by trainees’ characteristics (self-efficacy and career commitment) to give a better understanding to the relationships among the key study variables.

With regard to improving the employees’ competency while doing their jobs, this study developed a conceptual framework that guides managers to recognize the importance of ST, mentoring and job rotation in increasing the employees’ learning together; and giving them the chance to use the new learned experiences and knowledge to improve the organization performance and its competitive advantage. This study helps managers build a positive work environment that encourages social interaction, respect and mutual interest among employees, and increases their sense of responsibility for learning and transferring skills and knowledge to the jobs.

The training methods in the workplace go beyond immediate work performance to act as a promising tool make employees’ learning more easily and faster, and help them to transfer and retain new skills and knowledge, adapt with changing environments, build stronger relationships with stakeholders and at the same time, make the organizations ensure that employees comply with their societal goals.

The authors have noticed that large portions of the studies on training and human resources development neglected the role effect of (ST, mentoring and job rotation) on the tacit knowledge transfer from training to the jobs. Hence, these gaps in researches have motivated to develop a theoretical model that helps to examine the relationship between the two constructs. This study also suggests to examine the mediating role effects of work environment factors on the relationships among (ST, mentoring and job rotation) and tacit knowledge transfer, as well as it extends to examine the mediating role of work environment factors on transferring knowledge to jobs, attributed to the demographic variables such as gender, age, work experience and education level.