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This paper presents a stepwise method for identification and analysis of innovative activities in production systems. The purpose of this paper is to provide a structure in order to propose the risk paradigms and factors corresponding to the innovative activities and evaluation of the impact of these activities on innovation decisions and investment.

The model used here is an analytical approach that evaluates the impact of innovative activities on innovation decision and investment using product opportunity gap (POG) concept. This framework is applied for innovative activities of Asian industrial field, and the risk of innovative activities is calculated by weighted risk analysis method. In this method, the risk weights and intensities are estimated by the average of experts’ opinions in interviews.

This implementation discovered some useful information being used by investors, innovators and policymakers for taking the best strategies and decisions in various innovation domains such as innovation management, risk management and innovation policy. The results of this study show that the product innovation is the most popular category of innovation that has occurred in Asian manufacturing industries, and the product innovation, marketing innovation and organizational innovation have the most influence on technology, economic and social changes intensity, respectively.

This study analyzed the risk of innovative activities after their occurrence and because of different views of experts, there were diverse and sometimes contradictory analyses of innovative activities risk.

This paper links two separate and important sectors of innovation domain: innovation risk and innovation decision making and investment. POG plays the role of a bridge to connect the two mentioned sectors and shows how innovation causes the technological, economic and social changes. This paper also provides useful and practical information for innovation investors and decision makers to take the best decisions and to avoid the probable failures and losses.

This paper aims to investigate how students’ attitude (SA), students’ subjective norms (SN), students’ knowledge sharing intentions (KSI) can contribute to the enhancement of knowledge sharing behaviour (KSB) among students at higher education institutes (HEI) in Oman.

This study follows the quantitative methodology and the deductive causal research approach. The data were conveniently collected through a Web-based questionnaire (Google forms) from 285 active students who are affiliated to Omani universities. SPSS was used to statistically analyse the collected data, including partial least square-structural equation modelling (PLS-SEM V3.3) to draw the results.

The study concluded that SA has both direct and indirect positive impact on SN, KSI and KSB. Moreover, the result revealed that there is a mediation effect between SA and KSB through KSI, SA and KSI when SN is playing as a mediation role.

Although this study contributes to the existing body of knowledge, this study is limited by the scarcity of the related literature in the Omani context. It is recommended that these shortfalls be addressed together while improving the knowledge-sharing behaviour among students and administrative staff. Furthermore, the potential variation between academic staff and students in terms of factors affecting their intentions to share knowledge within HEIs should be explored.

This research provides policymakers in academic fields with the appropriate approaches to leverage the knowledge-sharing behaviour amongst Omani students with the understanding of the main factors affecting individuals’ knowledge-sharing behaviours.

This will help in improving the means of employing and practising knowledge-sharing strategies within HEIs, which can generate competitive advantages amongst students and institutions while benefiting knowledge management strategies and its members.

The importance of the study stems from its context being conducted in Oman as a developing country. In addition, this study is one of the initial attempts to investigate KSB by considering SA, SN and KSI and its applicability on HEI in Oman. The findings of the study can serve as inputs to HEI in developing best practices across KSB dimensions and expanding the knowledge-sharing culture amongst HEI’s students in Oman. One of the developed strategies is the spreading of the knowledge-sharing culture among students by positively directing their attitude towards the practices of knowledge exchange.

Technologies have had a positive impact on the construction industry. Technologies such as BIM, automation, augmented and virtual reality, Internet of Things and robotics have been adopted by construction firms to enhance productivity. However, not much research has been done on the awareness and adoption of wearable technologies for health and safety (H&S) management. This paper investigates the level of awareness and adoption of wearable technologies for H&S management in the Nigerian construction industry.

A quantitative research method was adopted for the study. An electronic questionnaire format was used as an instrument to collect the data. Both descriptive (mean score) and inferential statistics (Kruskal–Wallis test) were used to analyse the data.

The results indicate that organisations rarely use H&S wearable devices for H&S management although professionals within the construction industry are somewhat aware of the common H&S wearable devices. The findings further indicate that all 11 variables were perceived as “rarely adopted”, whereas 2 variables were perceived as “aware”, 3 variables as “slightly aware” and the remaining 6 variables as “somewhat aware”.

Data were collected from only construction professionals working in government agencies, consultancy firms and grade D contracting firms in Lagos and Abuja. For a broader perspective, a study that expands the number of states and categories of construction firms is recommended.

The construction industry in Nigeria can use the recommendations to improve H&S management on site. Moreover, the recommendations can contribute to the development of policies to promote the adoption of wearable technologies in construction sites.

Research on wearable technologies, particularly in the Nigerian construction industry, is at the developing stage. With this article, the authors contribute to the body of knowledge in this area of research.

A healthcare unit's effectiveness largely depends on how well its interprofessional teams work together. Unfortunately, the strategies used to improve these teams often lack substance. This study analyzed these strategies and found a performance gap.

This study took a unique mixed-method approach, systematically reviewing both qualitative and quantitative studies that identified strategies to enhance interprofessional teams in healthcare units. To gauge the effectiveness of these strategies, the researcher utilized an Importance-Performance Analysis (IPA) in four specialized clinical training centers in Hamadan province, Iran. The analysis of the IPA involved 35 experts from these centers as the statistical population.

Based on a systematic review, there are seven categories: contextual, strategic, communication, organizational, individual, Human Resources Management (HRM), and environmental for promoting interprofessional teams with a total of 36 sub-indicator. Based on the IPA, the HRM aspect shows the most extensive performance gap. The individual and organizational aspects fall under resource wastage, and the environmental aspect is within the indifferent zone. Also, some critical sub-indicators, such as incentives/rewards, roles and responsibilities, financial resources, team-initiated innovation, the culture of respect, partner resources, humility, data availability, set expectations, and team availability, are in the weak areas.

This research has identified critical areas for improvement in promoting teamwork in clinical training centers through a comprehensive gap analysis. It also presents practical policy solutions to address these weak points, providing a clear roadmap for enhancing interprofessional teams in healthcare units.

Improving teamwork in healthcare can be challenging, but it is possible with proper strategies and tools. One of the highlights of the recent study was the combination of systematic review studies with IPA to identify areas for improving interprofessional teamwork in clinical training centers.

This study investigates the role of personality disorders in the context of counterproductive knowledge behavior.

Data were collected through a survey administered to 120 full-time employees recruited from Amazon’s Mechanical Turk. Personality disorders were measured by means of the Millon Clinical Multiaxial Inventory-IV.

Personality disorders play an important role in the context of counterproductive knowledge behavior: employees suffering from various personality disorders are likely to hide knowledge from their fellow coworkers and engage in knowledge sabotage. Of particular importance are dependent, narcissistic and sadistic personality disorders as well as schizophrenic and delusional severe clinical syndromes. There is a need for a paradigm shift in terms of how the research community should portray those who engage in counterproductive knowledge behavior, reconsidering the underlying assumption that all of them act deliberately, consciously and rationally. Unexpectedly, most personality disorders do not facilitate knowledge hoarding.

Organizations should provide insurance coverage for the treatment of personality disorders, assist those seeking treatment, inform employees about the existence of personality disorders in the workplace and their impact on interemployee relationships, facilitate a stress-free work environment, remove social stigma that may be associated with personality disorders and, as a last resort, reassign workers suffering from extreme forms of personality disorders to tasks that require less interemployee interaction (instead of terminating them).

To the best of the authors’ knowledge, this work represents one of the first attempts to empirically investigate the notion of personality disorders in the context of knowledge management.

Gives a bibliographical review of the finite element meshing and remeshing from the theoretical as well as practical points of view. Topics such as adaptive techniques for meshing and remeshing, parallel processing in the finite element modelling, etc. are also included. The bibliography at the end of this paper contains 1,727 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1990 and 2001.