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The purpose of this article is to determine the future proportion and variants of usage of human intellect and artificial intelligence (AI) in entrepreneurship of industry 4.0 that fits social entrepreneurship the most. It could be convergence (simultaneous utilization during the same entrepreneurial processes with the emphasis on unique features by the terms of the competition) or divergence (usage during different business processes by the terms of labor division).

The authors determine the influence of usage of human capital and AI on the efficiency of social entrepreneurship. The authors identify the perspective directions of usage of AI in social entrepreneurship and evaluate the readiness and interest in the implementation of these directions of concerned parties. The authors also model the optimal proportions and the variant of usage of human intellect and AI in social entrepreneurship in the conditions of Industry 4.0 in the future (until 2030).

It is found that social entrepreneurship will use the opportunities of Industry 4.0 for optimization of its activities until 2030, but will refuse from full automatization, using human intellect and AI at the same time.

The most perspective directions of application of AI at social companies are a collection of social goods and services, marketing studies and promotion of social goods and services. Neither convergence nor divergence of human and artificial intellectual capital does not fully conform to the interests of concerned parties. The most preferable (optimal) variant of usage of human intellect and AI in social entrepreneurship in the Industry 4.0 is human intelligent decision support.

The distinction between discussing human capital (HC) and its actual measurement is the presence of indices and equations to substantiate the belief of measuring intangibles. The chapter makes a concise mention of research precedents, deriving leads for the foundation of HC. The chapter aims to provide clarity on the concept of HC measurement and bring to light the tools that can confer tangibility to intangibles. It argues that the measurement of HC is an achievable idea; furthering that a systematic review into the inter-disciplinary studies can offer viable solutions to the challenge of measuring intangibles. The chapter while discussing the contention makes a vivid mention of Bhutan’s gross national happiness (GNH), Happiness Seismograph, Cobb–Douglas model and others to make an impression on the minds of the reader.

The purpose of this study is to investigate data literacy (DL) for teaching and learning in higher education institution, as data has become a crucial component in the accomplishment of task and decision-making in diverse sector, specifically higher education institutions (HEIs), where students’ records, results and research activities are managed in data form.

This study adopted the interpretive content/document analysis harvested from database of Web of Science in this study. The use of content/document analysis became essential to establish appropriate empirical evidence that relates to this study. This was to support the argument of detailed systematic examination, which the author establishes in the study. The interpretive content/document analysis was based on systematic literature review on specific objectives.

Findings indicates that DL is crucial in HEIs. Different types of data collection methods, such as rating scale, reporting, questionnaire, interview, observation, checklist, project, registration, assignment and performance test, were noticed in specific institutional cases. Subsequent conceptual and pedagogical foundations in processing data were obtain through continuous reskilling to acquire adequate knowledge and skills of DL. Social media and institutional repository are now used to digitise data. Different types of skills and abilities were used to search, analyse, adopt and share data in HEIs. This study recommends strategies of the use of different databases for data digitisation and creation of awareness on DL education in HEIs in Africa, specifically Nigeria.

This study is insightful with the understanding of DL in HEIs. The significance in this era of digital literacy become essential, as the need to have the knowledge and application of the use of data is important because of how it serves scholar in decision-making and planning in organisational productivity. The rationale towards this study on DL was on the basis that the world is a global village and without data, no organisation or HEIs could function adequately. Several types of data collected, such as rating scale, reporting, questionnaire, interview, observation, checklist, project, registration, assignment and performance test, have transformed institutional cases, for better and quality management operations. The subsequent conceptual and pedagogical foundations in processing data resulted in continuous reskilling, to sharpen learn and unlearn enterprise.

Purpose: This chapter aims to analyse and highlight the current landscape of performance management (PM) systems, and the benefits of integrating modern technology such as smart analytics (SA) and artificial intelligence (AI) into PM systems. The chapter discusses the application of AI in PM tasks which successively simplify many offline PM tasks.

Methodology: To carry out this analysis, a systematic literature review was performed. The review covers literature detailing PM components as well as research concerned with the integration of SA and AI into PM systems.

Findings: This study uncovers the merits of using SA and AI in PM. SA technology provides organisations with a clear direction for improvement, rather than simply state failure in performance. AI can be used to automate redundant tasks while retaining the human element of decision-making. AI also helps reduce the time required to take action on feedback.

Significance: The findings of this research provide insights into the use of SA and AI to make PM tasks fast, scalable, and error-free.

Artificial intelligence (AI) is currently having a dramatic impact on marketing. Future manifestations of AI are expected to bring even greater change, possibly ushering in the realization of the fourth industrial revolution. In accord with such expectations, this paper aims to examine AI’s current and potential impact on prominent service theories as related to the service encounter.

This paper reviews dominant service theories and their relevance to AI within the service encounter.

In doing so, this paper presents an integrated definition of service AI and identifies the theoretical upheaval it creates, triggering a plethora of key research opportunities.

Although scholars and practitioners are gaining a deeper understanding of AI and its role in services, this paper highlights that much is left to be explored. Therefore, service AI may require substantial modifications to existing theories or entirely new theories.

In pursuit of an alternative competitive strategy for tourism's underperformers and particularly for niche markets such as tourist destination islands, this paper aims to introduce a framework that caters to the post‐modern tourist.

Through a pilot study, the framework was introduced to senior hotel managers on the island of Crete. The framework explores how hotel managers can best use their employees’ knowledge in order to increase their market adaptability and develop unique capabilities.

The results demonstrated that managers scored highly in their ability to leverage knowledge gained from the market, whereas they gave less importance to their employees’ valuable, internal knowledge. In the majority of cases tested, senior managers lacked an overall knowledge strategy. Although the pilot study's findings cannot be generalized, they can help us anticipate the maturity levels of hotel managers towards knowledge management and contribute towards building a future research agenda for developing the framework further.

The paper introduces a framework that caters to the post‐modern tourist. It is three dimensional, as it combines the disciplines of knowledge management, business strategy and marketing.

The purpose of this paper is to examine how and to what extent knowledge management (KM) has been incorporated into the library and information science (LIS) curriculum.

The study is conducted using an e‐mail questionnaire survey of LIS academics world‐wide who adopted KM education in their schools. Based on a preliminary survey of 600 LIS schools' homepages, a structured questionnaire is sent out to 106 LIS academics via e‐mail. In total, 58 filled‐in questionnaires are received, of which 57 are valid for analysis. The analysis follows a combination of qualitative and quantitative approaches of research with a primary focus on qualitative analysis.

LIS has assimilated the core content of KM based on the combination of varying proportions of major perspectives and skill‐sets of KM with an emphasis on information management and information technology‐oriented courses. The study also finds that LIS has incorporated KM following a partial adoption process through mutual borrowing of knowledge between LIS and KM.

Many LIS schools, especially from non‐English speaking countries, do not come under investigation due to their lack of web accessibility.

This paper reinforces the curriculum renovation of LIS with the incorporation of KM. It suggests a strong interdisciplinary collaboration with other disciplines having KM interests, and the adoption of a balanced approach to KM that would consider wider audiences and market demand.

The study presents the practical experiences of LIS academics who adopted KM education. The study also explores the concept of “mutual borrowing of knowledge” between LIS and KM.

Where do all the management theories and fads come from? Why are they so different and constantly changing. This paper develops a comprehensive and dynamic cognitive formwork from an understanding of the formulations of Aquinas, Lonergan, Jung, Weber and the Enneagram. The synthesis is new and goes beyond each of the sources to present a more systematic and useable JEWAL synthesis formwork. First, the neo‐platonic hierarchical structure of triadic unity is identified as a particularly pertinent and effective differentiation of reality. Second, whereas the neo‐platonists developed their hierarchical construction of reality from a meta‐physical viewpoint as emanations from the ultimate unity, later philosophers explained the differentiation of consciousness principally by working in the reverse direction. Third, the paper explains the process of learning in terms of the cognitive procession through the layered levels of differentiated consciousness. Fourth, an explanation follows as to how this cognitive formwork can be used to explain a character typology based on the differentiation of consciousness – one that finds expression in a typology commonly known as the Enneagram. Fifth, the JEWAL synthesis formwork is presented as a comprehensive framework in which to understand human governance and social action. More broadly, the paper discusses the significance for the social sciences of achieving such a synthesis of ideas within this new formwork – a synthesis between the Western developed philosophy, which runs through the work of Aquinas, Lonergan, Weber and Jung, and the Eastern physio‐psychological wisdom encapsulated in the Enneagram typology. In conclusion, the paper attempts to bring it all together in an answer to the questions underpinning the paper; namely, what does it mean to know and how do we make sense of those voices that speak out of that knowing.