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Industry 4.0 technologies are promising to increase manufacturing companies' performance through the new knowledge that such digital technologies allow to create and manage within the firm boundaries and through customer interactions. Despite the great attention on the Industry 4.0 adoption paths, little is known about the relationships with previous waves of digital technologies, namely, information and communication technologies (ICTs), and how different groups of both types of technologies link to knowledge and its related performances.

The study employed a quantitative research design using a survey method. Submitting the questionnaire to entrepreneurs, chief operation officers or managers in charge of the operational and technological processes of Italian manufacturing firms, 206 respondents stated that their firm has adopted at least one of the seven Industry 4.0 technologies investigated.

The findings of the study highlight the positive relationship between ICT and Industry 4.0 technologies in terms of both intensity and groups of technologies (Web-based, Management and Manufacturing ICT; Operation, Customization and Data-processing 4.0), and how technologies affect knowledge-related performances in terms of products and processes, job-learning, product-related services and customer involvement.

This study is one of the first attempts to link groups of ICT to groups of Industry 4.0 technologies and to explore the effects in terms of knowledge-related performances as a measure of technology use. The study shows strong path dependency among ICT, Industry 4.0 and knowledge performance, enriching the literature on technological innovation and knowledge management.

This paper aims to assess knowledge relatedness as a possible determinant of business innovation performance. Knowledge relatedness is understood as the degree of similarity between a firm’s knowledge and that of its parent, i.e. the company that the entrepreneur leaves to establish his or her own firm. Innovation performance results from the competitive position that the company achieves through its management of new products and services on the market.

For the empirical work, the authors used a database composed of 356 entrepreneurs who established recently their own business in Costa Rica: people who stopped working in multinational companies in Costa Rica and created their own businesses, and people who created their own businesses simultaneously as the former employees of multinationals.

This paper reports a positive and significant correlation between knowledge relatedness and innovation performance for a number of young firms.

This paper presents the fact of including knowledge relatedness as a research topic linked to business innovation.

The aim of this paper is to synthesize knowledge related to performance evaluation of automated construction processes during the planning and execution phases through a theme-based literature classification. The primary research question that is addressed is “How to quantify the performance improvement in automated construction processes?”

A systematic literature review of papers on automated construction was conducted involving three stages-planning, conducting and reporting. In the planning stage, the purpose of the review is established through key research questions. Then, a four-step process is employed consisting of identification, screening, shortlisting and inclusion of papers. For reporting, observations were critically analysed and categorized according to themes.

The primary conclusion from this study is that the effectiveness of construction processes can only be benchmarked using realistic simulations. Simulations help to pinpoint the root causes of success or failure of projects that are either already completed or under execution. In automated construction, there are many complex interactions between humans and machines; therefore, detailed simulation models are needed for accurate predictions. One key requirement for simulation is the calibration of the models using real data from construction sites.

This study is based on a review of 169 papers from a database of peer-reviewed journals, within a time span of 50 years.

Gap in research in the area of performance evaluation of automated construction is brought out. The importance of simulation models calibrated with on-site data within a methodology for performance evaluation is highlighted.

To determine the current state of knowledge related to performance measures and their degree of implementation in small and medium enterprises (SMEs) in England.

The paper starts with a literature review and then goes on to discuss the methodology used. The survey is briefly presented together with the analysis of the resultant data. General opinions regarding performance measurement in English SMEs are described, including the most important measures and the biggest obstacles to the adoption of new ones. Hypotheses about differences between groups are tested and discussed.

This work concludes that there is a gap between the theory/knowledge of performance measures and the practice in English SMEs. Training of employees and difficulty in defining new performance measures were highlighted as the major obstacles to the adoption of new performance measures.

The low response rate of the survey precludes the generalisation of the findings.

Innovation and learning measures should be applied more widely.

This paper is relevant to academics and SME managers because it supports the existence of a gap between the theory of performance measurement and its degree of implementation. In addition, it introduces both theoretical information on performance measurement, including that based on the balanced scorecard perspectives, and practical information from a survey conducted in English SMEs.

Improving employee’s performance has always remained an area of concern in the hospitality industry where employees’ performance is related to customers’ satisfaction. The inadequacy of research work on demographics and organization variables’ influence on contextual and task performance has led to present research. Thus, the purpose of this study is to identify role of demographic and organizational variables in affecting contextual and task performance of hotel employees.

Data was collected from a sample of 350 hotel employees. The research is based on primary data and a structured questionnaire.

Task performance of employees increases with the age but contextual performance improves up to 40-50 years and then remains constant. Low salaries and job insecurity affected the performance of employees. A change of designation alone, without a corresponding increase in pay, did not enhance the performance of the employees. The type and size of the organization significantly affect job performance.

The study is a contribution to the theory and practice of employee management and improving employee’s performance. Factors affecting contextual and task performance have been identified. Future research can be conducted based on this study.

The study has highlighted the significant effect of demographic variables, organizational variables on contextual and task performance of hotel employees. The hotel industry plays an important role in economic development of a country. The study is practically helpful for hotel industry to understand what demographical and organizational variables can be considered to enhance employee’s performance.

Previous literature has lacked in identifying factors, which can affect the contextual and task performance of hotel employees. The paper is contributing to the existing body of knowledge related to employees’ performance. The managers of hotel industry can use outcome of this research to improve job performance of the employees. Findings open new avenues for future research.

This study aims to identify the main knowledge processes associated with organizational knowledge culture. A diverse range of knowledge processes have been referred to in the extant literature, but little agreement exists on which knowledge processes are critical and should be supported by organizational culture.

Using a systematic literature review methodology, this study examined the primary literature – peer-reviewed and scholarly articles published in the top seven knowledge management and intellectual capital (KM/IC)-related journals.

The core knowledge processes have been identified – knowledge sharing, knowledge creation and knowledge implementation. The paper suggests that a strategy for implementing successful organizational KM initiatives requires precise understanding and effective management of the core knowledge infrastructures and processes. Although technology infrastructure is an important aspect of any KM initiative, the integration of knowledge into management decisions and practices relies on the extent to which the organizational culture supports or hinders knowledge processes.

The focus of the study was on the articles published in the top seven KM/IC journals; important contributions in relevant publications in other KM journals, conference papers, books and professional reports may have been excluded.

Practitioners will benefit from a better understanding of knowledge processes involved in KM initiatives and investments. From a managerial perspective, the study offers an overview of the state of organizational knowledge culture research and suggests that for KM initiatives to be successful, the organization requires an integrated culture that is concerned with knowledge processes as a set of inextricably inter-related processes.

For the first time, a comprehensive list of diverse terms used in describing knowledge processes has been identified. The findings remove the conceptual ambiguity resulting from the inconsistent use of different terms for the same knowledge process by identifying the three major and overarching knowledge processes. Moreover, this study points to the need to attend to the inextricably interrelated nature of these three knowledge processes. Finally, this is the first time that a study provides evidence that shows the KM studies appear to be biased towards Knowledge sharing.

This article aims to contribute to the digital servitisation literature by investigating the interrelations amongst Industry 4.0 technologies, servitisation and the performance of manufacturing small and medium-sized enterprises (SMEs).

The research uses survey data drawn from 200 manufacturing SMEs operating in the metals and machinery sector in Italy.

The study shows that Industry 4.0 technologies – Internet of Things (IoT), advanced simulation, cloud computing and Big Data Analytics (BDA) – positively moderate the relationship between servitisation and the performance of SMEs.

The study supports the need for firm managers of manufacturing SMEs to align servitisation and technological investments, suggesting that the synergic deployment of Industry 4.0 technologies supports servitisation performance.

The study supports the need for firm managers operating in business-to-business contexts to align their technological investments and servitisation strategies, suggesting that the synergic deployment of these Industry 4.0 technologies empower the effectiveness of servitisation strategies in terms of performance achieved.

The study highlights the moderating role played by specific Industry 4.0 technologies in the servitisation–performance relationship, opening avenues for future research exploring the mechanisms that underpin this complex relationship.

This paper aims to maintain the high service quality of the long-term care service providers by establishing a knowledge-based system so as to enhance the service quality of nursing homes and the performance of its nursing staff continually.

An intelligent case-based knowledge management system (ICKMS) is developed with the integration of two artificial intelligence techniques, i.e. fuzzy logic and case-based reasoning (CBR). In the system, fuzzy logic is adopted to assess the performance through the analysis of the long-term care services provided, nurse performance and elderly satisfaction, whereas CBR is used to formulate a customized re-training program for quality improvement. A case study is conducted to validate the feasibility of the proposed system.

The empirical findings indicate that the ICKMS helps in identification of those nursing staff who cannot meet the essential service standard. Through the customized re-training program, the performance of the nursing staff can be greatly enhanced, whereas the medical errors and complaints can be considerably reduced. Furthermore, the proposed methodology provides a cost-saving approach in the administrative work.

The findings and results of the study facilitate decision-making using the ICKMS for the long-term service providers to improve their performance and service quality by providing a customized re-training program to the nursing staff.

This study contributes to establishing a knowledge-based system for the long-term service providers for maintaining the high service quality in the health-care industry.

Concept of “organisational learning” has been widely advocated as one of the solutions for organisational development, especially for those companies requiring high level of technology and knowledge. While being applied to the entire organisation, the concept of organisational learning can also be applied to specific function or project teams, which can be named as “project” based organisations. This paper presents a new approach of learning for the project‐based teams, which integrates learning and project in one, towards organisational learning ideals. Performance evaluation mechanism is also developed. With the developed evaluation, three dimensions of team performance, within the scope of project action‐learning framework would be measured. It would tell the team where it stands at a particular point of time. In order to track the critical variables required to reach the goals, the developed measurement system framework will be adopted in the implementation phase.