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The present study empirically compares maintenance practices under asset performance management (APM), employed by firms in developed and developing countries (Belgium and Kenya, respectively).

Empirical observations and theoretical interpretations on maintenance practices under APM are delineated. A comparative cross-sectional survey study is conducted through an online questionnaire with 151 respondents (101 Kenya, 50 Belgium). Descriptive statistics and inferential statistics like independent t-test and phi coefficient were used for analyzing the data.

In both countries, reduction of maintenance and operational budget, return on assets, asset ageing and compliance aspects were established as critical factors influencing the implementation of asset maintenance and performance management (AMPM). A significant difference in staff competence in managing vibration, ultrasound and others like predictive algorithms was found to exist between the firms of the two countries. The majority of firms across the divide utilize manual and computer-based tools to integrate and analyse various maintenance data sets, while standardization and maintenance knowledge loss were found to adversely affect maintenance data management.

The study findings are based on the limited number of returned responses of the survey questionnaire and focused on only two countries representing developed and developing economies. This study not only provides practitioners with the practical guidelines for benchmarking, but also induces the need to improve the asset maintenance strategies and data application practices for asset performance management.

The paper provides insights to researchers and practitioners in the articulation of imperative effective maintenance strategies, benchmarking and challenges in their implementation, considering the different operational context.

The paper contributes to theory and practice within the field of AMPM where no empirical research comparing developed and developing countries exist.

The purpose of this paper is to develop a maintenance decision support system (DSS) framework using in-service lubricant data for fault diagnosis. The DSS reveals embedded patterns in the data (knowledge discovery) and automatically quantifies the influence of lubricant parameters on the unhealthy state of the machine using alternative classifiers. The classifiers are compared for robustness from which decision-makers select an appropriate classifier given a specific lubricant data set.

The DSS embeds a framework integrating cluster and principal component analysis, for feature extraction, and eight classifiers among them extreme gradient boosting (XGB), random forest (RF), decision trees (DT) and logistic regression (LR). A qualitative and quantitative criterion is developed in conjunction with practitioners for comparing the classifier models.

The results show the importance of embedded knowledge, explored via a knowledge discovery approach. Moreover, the efficacy of the embedded knowledge on maintenance DSS is emphasized. Importantly, the proposed framework is demonstrated as plausible for decision support due to its high accuracy and consideration of practitioners needs.

The proposed framework will potentially assist maintenance managers in accurately exploiting lubricant data for maintenance DSS, while offering insights with reduced time and errors.

Advances in lubricant-based intelligent approach for fault diagnosis is seldom utilized in practice, however, may be incorporated in the information management systems offering high predictive accuracy. The classification models' comparison approach, will inevitably assist the industry in selecting amongst divergent models' for DSS.

This article aims to understand the underlying mechanisms through which transformational leadership influences employee job satisfaction and turnover intentions. Specifically, the study explores the mediation role of employee well-being on the relationships between leadership and both employee job satisfaction and turnover intentions.

Employing a quantitative research method, data were collected from 280 academics and professional staff from an Australian regional university. The Mplus software was used for data analysis.

The results showed that transformational leadership had significant positive impact on employee well-being and job satisfaction while it alleviated employee turnover intentions. Furthermore, employee well-being mediated the effect of transformational leadership on employee job satisfaction and turnover intentions.

The research was cross-sectional, and data were collected from a convenient sample and therefore minimises our ability to generalise the findings to other contexts.

Effective leadership, employee well-being, job satisfaction and employee turnover are of strategic importance in the higher education sector in Australia and internationally. These findings will therefore provide a basis for university policy makers to craft relevant policies that promote effective leader behaviours and enhance employee well-being as they facilitate employee job satisfaction and minimise turnover intentions among higher education sector employees (i.e. academics and professional staff).

Our study provides a unique contribution to knowledge as it explains the mediation effect of employee well-being on the relation between transformational leadership a, job satisfaction and turnover intentions.

The purpose of this paper is to reduce or eliminate the overall equipment effectiveness (OEE’s) speed loss in a lean manufacturing environment.

This action research study uses the lean manufacturing 5-whys analysis technique to reduce or eliminate the speed loss.

The application of the 5-whys analysis technique in a manufacturing industry (XYZ Corporation) completely eliminated its top speed loss and resulted in a valuable savings of USD 32,811.5 per annum.

The 5-whys analysis technique which has been primarily known to improve the OEE’s quality loss and changeover loss has been proven to be an effective approach to also tackle speed loss; a loss which has been regarded as the most dominating loss among all the types of OEE’s losses and a difficult one to eliminate.

Little or no attempt has been made to date to expand the use of the 5-whys analysis technique beyond its originally intended purpose. The lessons learnt in this study could be applied to other organizations. The outcome of the study has also opened the possibility of widening the horizon of the use of the 5-whys analysis technique beyond its original intended objective and could be applicable to solve other losses of OEE and non-value added activities of lean philosophy in general.

Equipment performance helps the manufacturing sector achieve operational and financial improvements despite process variations. However, the literature lacks a clear index or metric to quantify the monetary advantages of enhanced equipment performance. Thus, the paper presents two innovative monetary performance measures to estimate the financial advantages of enhancing equipment performance by isolating the effect of manufacturing fluctuations such as product mix price, direct and indirect characteristics, and cost changes.

The research provides two measures, ISB (Improvement Saving Benefits) and IEB (Improvement Earning Benefits), to assess equipment performance improvements. The effectiveness of the metrics is validated through a three stages approach, namely (1) experts' binary opinion, (2) sample, and (3) actual cases. The relevant data may be collected through accounting systems, purpose-built software, or electronic spreadsheets.

The findings suggest that both measures provide an effective cost–benefit analysis of equipment performance enhancement. The measure ISB indicates savings from performance increases when equipment capacity is greater than product demand. IEB is utilised when equipment capacity is less than product demand. Both measurements may replace the unitary cost variation, which is subject to manufacturing changes.

Manufacturing businesses may utilise the ISB and IEB metrics to conduct a systematic analysis of equipment performance and to appreciate the financial savings perspective in order to emphasise profitability in the short and long term.

The study introduces two novel financial equipment performance improvement indicators that distinguish the effects of manufacturing variations. Manufacturing variations cause cost advantages from operational improvements to be misrepresented. There is currently no approach for manufacturing organisations to calculate the financial advantages of enhancing equipment performance while isolating production irregularities.

The purpose of this paper is to present a method for assisting micro and small companies of the industrial sector with the adoption of Lean practices.

The paper outlines the method construction steps, which used a design science research approach.

This research led to the structuring of a method for implementing Lean Manufacturing tools in micro and small companies of the industrial sector. The developed method contributed to the knowledge in Lean Manufacturing by systematizing its tools in a heuristic approach that can be applied to an operation using overall equipment effectiveness (OEE) as a guiding indicator.

This method can be used to guide the implementation of Lean tools in SMEs industries.

The originality of this paper lies in the adoption of an operation-focused approach only (rather than an approach that begins with the mapping of an entire process) and the use of OEE as the basis for prioritization of improvements to be performed and operational control.

The revolution brought about by the internet and the World Wide Web has led to the development of numerous e-Tendering systems for public sector tendering that have automated various aspects of the manual tendering processes that are known to experience numerous problems. However, one key area that has not been fully addressed is the automation of the evaluation of public tenders based on group decision-making. This paper presents part of the development of a Web-based e-tendering system called Nigerian Public Sector eTender (NPS-eTender) that automate the evaluation of public sector tenders based on group decision-making.

The system was developed using object-oriented methodologies. Specifically, Ripple and unified process methodologies were adopted.

The results of the system validation showed that NPS-eTender has an average rating of 74% with respect to correct and accurate modelling of the existing tendering domain and an average rating of 67.6% with respect to its potential to enhance the proficiency of public sector tendering in Nigeria. Based on the results of the validation, it can be concluded that the automation of the tender evaluation process can lead to a more proficient tendering process.

This research has contributed to the development of an e-Tendering system for the public sector that supports the whole tendering lifecycle including the automation of evaluation of public tenders based on group decision-making.

This paper aims to study the definition and formation of Skunk Works and how it may present itself as a viable theoretical alternative to other mainstream concepts of collective/corporate entrepreneurships, while dissecting some of the prevalent misconceptions of the extant literature regarding the application of Skunk Works.

This is a literature-based conceptual study that compares and differentiates various forms of group entrepreneurships as discussed in the academic debate.

This study shows how Skunk Works differs from other forms of collective/corporate entrepreneurship through its seven dimensions (isolation, customer needs, focus, planning, trusted project manager, cross-functional teams and leveraging overlaps) while challenging the dominant extant contenders of collective/corporate entrepreneurship.

Skunk Works remains a sustainable form of entrepreneurship, and it is still viable to consider it as a practical construct for smaller as well as larger organisations as a means of solving complicated innovative tasks requiring a multidisciplinary team with expert competence in a relatively quicker period of time.

Organisations may take greater initiatives towards assembling entrepreneurial teams in the Skunk Work tradition.

As a means of understanding collective/corporate entrepreneurship, this study dissects some of the original fundamental cornerstones of Skunk Works entrepreneurship in an effort to present it as a viable alternative construct to the dominant construct of entrepreneurial orientation as well as other extant constructs.