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This paper aims to identify, prioritise and explore the relationships between the various barriers that are hindering the machine learning (ML) adaptation for analysing accident data information in the Indian petroleum industry.

The preferred reporting items for systematic reviews and meta-analysis (PRISMA) is initially used to identify key barriers as reported in extant literature. The decision-making trial and evaluation laboratory (DEMATEL) technique is then used to discover the interrelationships between the barriers, which are then prioritised, based on three criteria (time, cost and relative importance) using complex proportional assessment (COPRAS) and multi-objective optimisation method by ratio analysis (MOORA). The Delphi method is used to obtain and analyse data from 10 petroleum experts who work at various petroleum facilities in India.

The findings provide practical insights for management and accident data analysts to use ML techniques when analysing large amounts of data. The analysis of barriers will help organisations focus resources on the most significant obstacles to overcome barriers to adopt ML as the primary tool for accident data analysis, which can save time, money and enable the exploration of valuable insights from the data.

This is the first study to use a hybrid three-phase methodology and consult with domain experts in the petroleum industry to rank and analyse the relationship between these barriers.

Customers' co-design behavior is an important source of knowledge for product innovation. Firms can regulate the focus of information interaction with customers to set goals and motivate their co-design behavior. Drawing on regulatory fit theory and construal level theory, the authors build a research model to study whether the fit between the regulatory focus of firms' task invitations (promotion focus vs prevention focus) and their feedback focus (self-focused vs other-focused) can enhance co-design behavior by improving customers' experiences (perceived meaning, active discovery and perceived empowerment).

The authors conducted two online between-subjects experiments to validate the proposed research model.

The two online experiments reveal that customers' experiences are enhanced when the feedback focus is congruent with the regulatory focus of the firm's task invitations. Specifically, self-focused feedback has a stronger positive effect on customers' experiences in the prevention focus context. Other-focused feedback has a stronger positive effect on customers' experiences in the promotion focus context. Moreover, customers' experience significantly and positively affects co-design behavior (i.e. co-design effort and knowledge contribution).

This work provides theoretical and practical implications for firms to improve the effectiveness of information interaction with their customers and eventually ensure the sustainability of co-design.

In the era of hyper-competitiveness, firms, especially project-based management structures, have to focus on ideas for both new and existing sets of products and services, i.e. ambidextrous innovation. The ambidextrous innovation can be helpful, but achieving such a level is a problem to be solved. This study aims to yield ambidextrous innovation by using innovative culture and knowledge that has been gained from learning.

The present research collected data from Saudi Arabian public-sector firms. The data collected is analyzed using the partial least squares structural equation modeling (PLS-SEM).

The findings of the study suggest that a range of factors can be operationalized in project-based firms to establish organizational learning and innovation culture. These factors include agile-based project management, leveraging existing innovative capabilities and growth mindset in case of innovative organizational culture and additional factors of agile-based knowledge management along with others in case of organizational learning. The PLS-SEM further concluded that both organizational learning and innovative organizational culture, in turn, help project-based Saudi Arabian public-sector firms to develop their ambidextrous innovation capability.

The PLS-SEM further concluded that both the organizational learning and innovative organizational culture, in turn, help project-based Saudi Arabian public-sector firms to develop their ambidextrous innovation capability.

This paper aims to assess the quality management (QM) principles in facilities management (FM) service delivery for office buildings. This is to create a quality culture that will enhance the performance of FM service delivery towards meeting the users' requirements and needs.

This study adopts a quantitative methodology via a questionnaire survey for the data collection. In total, 24.41% of respondents from the registered FM companies in Malaysia attended the survey. SPSS 27.0 was used to interpret the collected data, which were then reviewed through descriptive and inferential analysis.

The study signifies that customer focus, leadership, improvement, evidence-based decision-making and relationship management indicate positive connections with FM service delivery in ensuring a cost-effective working process and meeting both user requirements and legal and regulatory corporate compliance. There are 18 elements of strategic, people and structural barriers that may hinder the implementation of QM in the FM service delivery. Correspondingly, the five main key enablers suggested being teamwork and participation, leadership, continuous improvement, process management and resources and competency development-based enablers.

The study was conducted during the pandemic crisis with limited access and response from participants. However, this in-depth study was still able to synthesize the imperative QM practice in FM among FM practitioners in Malaysia.

This study provides insight into the implementation of QM principles to cultivate a quality culture that will enhance the performance and productivity in FM service delivery specifically for office buildings in Malaysia. Prior to this study, there was a lack of research pertaining to these two themes: QM and FM.

This study describes how two organisations transitioned to teaching Lean online during and post Covid-19. This study aims to establish how Lean teaching and training can be designed and delivered effectively online without adverse effects on the student’s learning experience of Lean concepts.

A case study approach was used to review the design, application and results of the transition to online Lean teaching and training. Qualitative and quantitative methods were deployed to assess the results.

Online Lean learning and application were assured via the design of practical problem-based teaching environments, aided by using the virtual classroom as an obeya room and as a kaizen environment where students worked in teams. Students were enabled to learn and apply Lean tools practically and reflect on their learnings.

This study demonstrates that effective online design can ensure. Lean methods are understood without affecting the student's learning, classroom experience and grasp of concepts.

To the best of the author’s knowledge, this is one of the first studies on implementing Lean training and education online during COVID-19 under the lens of both a training provider and university education viewpoint. The changes validated best practices for virtual Lean education and training in the organisations under study, maintained post-COVID.

Social housing offers occupants comfort, safety and protection against extreme weather conditions. However, social housing occupants in various regions of Nigeria face various challenges. This paper aims to use a quantitative approach to examine the factors that contribute to the challenges faced by occupants in social housing within a semi-arid climate of Nigeria.

An exploratory cross-sectional survey was used to administer 1,032 copies of structured questionnaires to occupants of social housing in Maiduguri, one of the largest urban centers of the semi-arid climate in Nigeria. A total of 955 responses were retrieved, giving a response rate of 92.5%. The statistical model used in analyzing data was relative importance indices and factor analysis.

The results show that poor quality of FM services provided, poor maintenance of building components, damage to materials and valuables in the Harmattan period and housekeeping problems due to dust deposition in doors, while the poor response to occupants’ complaints/reports is the least among the occupants’ challenges in order of importance. Moreover, the results of the factor analysis further established that inadequate FM services and poor environmental conditions are the two factors contributing to the occupants’ challenges in social housing within the semi-arid climate of Nigeria.

This paper seeks to examine the factors contributing to social housing occupants’ challenges in the semi-arid climate of Nigeria. The paper should inform policymakers, academics and professionals.