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This article aims to present the findings from a study designed to gain a general understanding of community attitudes and experiences associated with gatecrashing at outdoor music festivals (OMFs).

This study was an exploratory, descriptive study with data collection involving a web based, survey tool and convenience and snowballing sampling methodologies. A total of 196 people from across Australia participated in the study.

The key findings were that 15.3 per cent of the respondents were supportive of others gatecrashing, 65.3 per cent were against others gatecrashing while the remaining study participants did not care either way (19.4 per cent). About 39 per cent of the respondents had considered gatecrashing an event however the majority of this group (86 per cent) did not go through with these intentions. The remainder of the respondents (61 per cent) had never personally considered gatecrashing an event. In total, 11 per cent of study participants reported having gatecrashed events and there was generally a level of planning associated with their gatecrashing experiences. The male respondents were more supportive and more likely to have considered gatecrashing an event than the female participants. Males also made up the majority of the study participants that had gatecrashed events.

The collection of data involved the use of convenience and snowballing sampling methodologies and voluntary participation. As these methods are non‐probability based and so generalisations from this sample group were not be discussed in terms of the wider population.

It is expected that these findings will inform the work of event organisers and regulatory authorities involved in managing gatecrashing at these events.

This study provides supportive evidence to inform education campaigns designed to reduce the impacts of gatecrashing at outdoor music events.

This study contributes to the body of knowledge on gatecrashing behaviour within the context of OMFs.

Considerable confusion surrounds the overlapping of autism and schizophrenia. This has significant implications for clinicians given that correct diagnosis is critical for treatment.

This paper sets out to clarify the position by reviewing the history and current status of the relationship between autism and schizophrenia. A general review was conducted using a chronological approach that focused on phenomenology, aetiology, genetic mechanisms and treatment.

Persons with autism are far more rigid, have difficulties set shifting and get far more upset and aggressive when their routines have changed. They have far more severe theory of mind and empathy deficits than those with schizophrenia.

Future diagnostic refinement by means of molecular genetic studies will alter the diagnostic categories. Further studies of the conditions of autism and schizophrenia are therefore necessary.

Both conditions need treatment both clinically and practically.

This paper elucidates the relationship between autism and schizophrenia from a historical and current perspective. It emerges that this confusion is likely to be resolved by molecular genetic studies that will alter the diagnostic categories.

Demographic changes involving a worldwide ageing population and later retirements produce a gradual ageing of the workforce and major concerns about how ageing may influence the workplace. This paper aims to provide evidence relating to older workers in healthcare settings in Australia.

Using a secondary quantitative dataset, the authors sub-sampled a group of workers in the healthcare sector. We used linear regression arrangement with hypotheses focused on the assessment of the significance of interaction or moderation effects relating to job characteristics and age on employee satisfaction.

The authors note that older workers' job satisfaction is negatively influenced by poor perceptions of job security and autonomy in how their work is carried out. Ensuring that older workers stay in the healthcare workforce is imperative as the work force ages. This paper shows that managing their job security and offering them work autonomy enhance their job satisfaction.

The use of a secondary and cross-sectional dataset has some limitations relating to endogeneity, although these have been managed and assessed. The paper is based on a representative sample of Australian workers, and is thus generalisable within the Australian context, and will be informative elsewhere.

The focus on elements of flexibility for older workers (enhanced autonomy) and clearer job security elements is of practical relevance in the management of older workers.

As the overall population ages, supporting older workers in their careers will be of increasing importance. In sectors with a disproportionate share of older workers, like health care, this imperative will come sooner, and the benefits of getting arrangements right be will higher.

No other paper has explored these specific relationships empirically that the authors are aware of. This work is original in terms of its assessment of questions of what second-order effects exist in predicting employee satisfaction among older workers.

The customer enquiry management (CEM) process is of strategic importance in engineer‐to‐order contexts but existing literature does not adequately describe how firms support delivery date setting and order acceptance decisions in practice. This paper seeks to explore how and why the CEM process varies between companies in the capital goods sector, thereby taking a contingency theory approach.

Multi‐case study research involving 18 Italian capital goods manufacturers in four industrial sectors. Face‐to‐face interviews with senior representatives have been conducted. Companies have been grouped into five clusters, based on similarities in their CEM decision‐making modes, to aid analysis.

Three contingency factors were found to be particularly relevant in determining CEM modes: degree of product customization, flexibility of the production system, and uncertainty of the context. These factors affect the choice of specific CEM decision‐making modes. However, a high level of cross‐functional coordination and formalization of the process were found to constitute best practices whatever the contingency factors.

The research focuses on companies belonging to the Italian capital goods sector – findings may differ in other countries and sectors.

The results indicate that all firms, including small and medium‐sized companies, should implement high levels of cross‐functional coordination and formalization in their CEM practices, in order to improve their performance. For other aspects of the CEM process, including supplier and subcontractor monitoring, the company context will indicate whether these aspects are required, according to a need of matching the approach to CEM with specific sets of contingency factors.

This paper provides a rare insight into the CEM processes found in practice.

Effective educational methods are critical for successfully training future supply chain talent. The paper proposes a fuzzy multi-criteria decision-making model to evaluate and select the best educational method for tomorrow's supply chain leaders integrating skill development priorities in an uncertain environment.

The Grounded theory scheme is used to identify SC leaders' skillsets criteria and educational method alternatives. Fuzzy step-wise weight assessment ratio analysis sets the priority and determines the weight of 17 criteria. Eight decision-makers evaluate 13 alternatives using fuzzy linguistic terms. Fuzzy technique for order preference by similarity to ideal solution ranks and shows the most effective educational method. Sensitivity analysis presents the applicability of this study.

Its implementation in a university-industry collaboration case in Brazil, Mentored learning from industry experts is the best educational method. The skill development priorities are data analytics ability, end-to-end supply chain vision and problem-solving. Technical skills are the most important criteria that influence the selection of the optimal option and educational methods related to learning from others rank in the top teaching pool, including multidisciplinary cross-cultural training.

This paper is among the first to evaluate educational methods with skill development priorities integration for supply chain students using fuzzy SWARA–fuzzy TOPSIS. It provides actionable insights: a decision-making procedure for educational method selection, a broad skills profile for supply chain professional success and educational methods that professors can bring to in classroom/virtual environment.

Today, industrial revolutions demands advanced technologies, means, mediums, tactics and so forth for optimizing their operating behavior and opportunities. It is probed that the effectual results can be seized into system by not only developing advance means and technologies, but also capably adapting these developed technologies, their user interface and their utilization at optimum levels. Today, industrial resources need perfect synchronization and optimization for getting elevated results. Accordingly, present study is furnished with the purpose to expose quality-driven insights to march toward excellence by optimizing existing resources by the industrial organizations. The present study evaluates quality attributes of mechanical machineries for seizing performance opportunities and maintaining competitiveness via synchronizing and reconfiguring firm's resources under quality management system.

In the present study, Kano’s integrated approach is implemented for supporting decision rational concerning industrial assets. The integrative Kano–analytic hierarchy process (AHP) approach is used to reflect the relative importance of quality attributes. Kano and AHP tactics are integrated to define global relative weight and their computational medium is adapted along with ratio analysis, reference point theory and TOPSIS technique for understanding robust decision. The study described an interesting idea for underpinning quality attributes for benchmarking system substitutes. A machine tool selection case is discussed to disclose the significant aspect of decision-making and its virtual qualities.

The decision executives can realize massive benefits by streaming quality data, advanced information, technological advancements, optimum analysis and by identifying quality measures and disruptions for gaining performance deeds. The study determined quality measures for benchmarking machine tool substitute for industrial applications. Momentous machine alternatives are evaluated by means of technical structure, dominance theory and comparative analysis for supporting decision-making of industrial assets based on optimization and synchronization.

The study linked financial, managerial and production resources under sole platform to present a technical structure that may assist in improving the performance of the manufacturing firms. The study provides a decision support mechanism to assist in reviewing the momentous resources to imitate a higher level of productive strength toward the manufacturing firms. The study endeavors its importance toward optimizing resources, which is an evident requirement in industries as the same not only saves money, escalates production, improves profit margins and so forth, but also gratifies the consumption of scarce natural resources.

The study stressed that advance information can be sought from system characteristics in the form of quality measures and attributes, which can be molded for gaining elevated outcomes from existing system characteristics. The same demands decision supports tools and frameworks to utilize data-driven information for benchmarking operations and supply chain activities. The study portrayed an approach for ease of utilizing data-driven information by the decision-makers for demonstrating superior outcomes. The study originally conceptualized multi-attributes appraisement framework associated with subjective cum objective quality measures to evaluate the most significant machine tool choice amongst preferred alternatives.

Engineer-to-order (ETO) supply chains involve multiple companies for performing complex projects. The ability to effectively coordinate cross-business activities is essential to avoid delays, cost overruns and quality problems. Coordination is related to a number of contingent factors that need to be better comprehended. The purpose of this paper is to highlight such contingent factors and to analyse their effect on the occurrence of project delays.

A multiple case study is used to investigate the moderating factors affecting coordination in projects carried out in an ETO supply chain. Such factors are examined through a cross-analysis of six shipbuilding projects based on data from interviews, project documentation and clips from the media press.

In ETO supply chains, the engineering and production activities involve mutual interdependences that need to be coordinated. The findings suggest that both the integration of engineering and production and the production capability are the most critical factors influencing coordination in an ETO supply chain.

The study was carried out within shipbuilding projects as a setting to represent the ETO domain. To extend the findings, further research can examine other types of projects, such as: oil and gas, construction, military and aerospace.

In practice, there is no “one-fits-all” solution for coordination. Each project represents a unique context which has specific objectives, actors and constraints. From that perspective, this study provides a basis to comprehend coordination in a complex setting.

This study builds knowledge upon coordination by generating a number of propositions regarding the effectiveness of coordination on avoiding delays in complex projects carried out in ETO supply chains. Focusing on the engineering and production activities, the authors extend the existing theory by demonstrating that coordination can vary according to the level of several moderating factors.

Green walls (GWs), comprising living walls and green facades, have been touted as environmentally friendly products in architectural design. GWs can be viable in every aspect of sustainability; they provide residents of buildings with a wide range of economic, social and environmental benefits. Despite this, the adoption rate of GW is still in its infancy stage, and the existing literature concerning the hindrances inhibiting GW adoption is very limited. To address these gaps, the aim of this paper is to identify and prioritize the hindrances to GW adoption in Hong Kong.

After identifying 17 hindrances through an in-depth review of literature, the fuzzy Delphi method (FDM) is employed to refine the hindrances based on the local context with the help of 21 qualified experts in the field. Subsequently, Fuzzy Parsimonious Analytic Hierarchy Process (FPAHP) is exploited as a recently developed technique to prioritize the identified hindrances.

Results reveal that the most significant hindrances to the adoption of GW are maintenance cost, high installation cost, difficulties in maintenance, sophisticated implementation and inducement to fire. Findings call for scholars to address ways to improve GW installation practices and methods in order to eradicate the hindrances and provide lessons for policymakers, assisting them in facilitating the larger-scale adoption of GW.

Considering the dearth of studies on hindrances to the adoption of GWs, this paper provides a comprehensive outlook of the issue, providing knowledge that can be used as a building block for future scholars within the field. It also provides valuable insights for stakeholders within the construction industry about the hindrances to the adoption of GWs which could direct their efforts toward better implementation of it.

The purpose of this study is to review the existing fatigue and vibration-based structural health monitoring techniques and highlight the advantages of combining both approaches.

Fatigue monitoring requires a fatigue model of the material, the stresses at specific points of the structure, a cycle counting technique and a fatigue damage criterion. Firstly, this paper reviews existing structural health monitoring (SHM) techniques, addresses their principal classifications and presents the main characteristics of each technique, with a particular emphasis on modal-based methodologies. Automated modal analysis, damage detection and localisation techniques are also reviewed. Fatigue monitoring is an SHM technique which evaluate the structural fatigue damage in real time. Stress estimation techniques and damage accumulation models based on the S-N field and the Miner rule are also reviewed in this paper.

A vast amount of research has been carried out in the field of SHM. The literature about fatigue calculation, fatigue testing, fatigue modelling and remaining fatigue life is also extensive. However, the number of publications related to monitor the fatigue process is scarce. A methodology to perform real-time structural fatigue monitoring, in both time and frequency domains, is presented.

Fatigue monitoring can be combined (applied simultaneously) with other vibration-based SHM techniques, which might significantly increase the reliability of the monitoring techniques.

The study attempts to develop a multi-product multi-period (MPMP) aggregate production plan (APP) to fulfill the customers' demand in terms of throughput and lead time for achieving market competence.

This research proposes an integrated Fuzzy analytical hierarchy process (FAHP), multi-objective linear programming (MOLP), and simulation approach. Initially, FAHP is used to select the essential objectives a firm desires to achieve. Adopting the MOLP, an APP is formulated for the firm under study. Later, the simulation model of a firm is created in a discrete-event simulation (DES) software Arena© to evaluate the applicability of the proposed APP. A comparative analysis of the manufacturing performance levels (namely throughput, lead time, and resource utilization) achieved through the implication of an existing production plan and proposed APP is conducted further.

The findings from the study depict that the proposed MOLP-based APP can satisfy the customers' requirement (namely throughput and lead time) and improve the level of resource utilization compared with the firm's existing production plan.

The proposed research facilitates researchers and practitioners to understand the process of developing MOLP-based MPMP APP and analyzing its applicability through simulation technique to be utilized for developing APP at their firm.

An integrated FAHP-MOLP-simulation framework is the novel contribution to the literature on production planning. It can be extended to solve strategic, tactical, and operational problems in different domains like service, healthcare, supply chain, logistics, and project management.