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Research concerning marketing standardisation is still developing. A new research theme has recently emerged, wherein it is suggested that the structure of marketing decision making is likely to be a factor of marketing standardisation strategy. This study aims to add insights to this new research field. Based on the outcome of previous studies, it aims to propose and test a research framework concerning the relationships among environmental factors, the structure of decision making and marketing standardisation/performance. This study seeks to focus on the two most important programme elements: promotion and product.

The study used the experience of 78 firms operating in the European Union (EU) region to achieve its research objectives. The data used were collected through a postal survey. This analysis used both partial least square (PLS) and hierarchical regression analysis methods to examine its research framework.

The study has generated a framework for future research. It is suggested that, with the absence of direct influence, the structure of decision making is still likely to have an indirect effect on marketing standardisation strategy. Although a path relationship is unlikely to exist between environmental factors, the structure of decision making and performance, the joint effect between environmental factors and the decision‐making structure on performance is confirmed. The outcomes of the study suggest that, through careful selection, firms adopting a high and low degree centralisation structure can benefit from operating in a similar high/low environment, as well as in a country with high/low market size and potential.

The study's findings have enhanced those uncovered by other researchers. A number of implications can be drawn for these findings.

The ongoing availability of existing industrial systems/machines depends to a great extent on the form and level of product support. Product support, or the after sale service of a product, is important because it assures the expected function of the product in its operational phase. Product support is affected by a number of factors, including system reliability and maintainability characteristics and the operating environment. The purpose of this paper is to analyze the influence of time independent external factors of industrial systems on product support requirements and spare parts need.

This paper, after discussing the factors influencing product support, describes a method to estimate spare part requirements based on estimation of the actual reliability of a product under the influence of the product‐operating environment using a proportional hazard model. A spare parts estimation software, Spare Management Software (SMS), is used to check the results. Then a case study addresses the management of the spare parts inventory based on the geographical location and required performance of the product.

The lack of good support and critical spare parts can cause the untimely stoppage of a machine/system. The forecasting of product support and spare parts requirements based on the reliability and maintainability characteristics of systems/components, along with influencing environmental factors, is one of the most effective strategies for preventing unplanned stoppages. The operating environment of a system/machine has a considerable influence on the performance of the system and its technical characteristics, such as its reliability, maintainability, and, consequently, availability. Therefore, the system operating environment should be considered when the required support and spare parts estimation is under review.

In this research, the focus is on the estimation of the number of spare parts required. Only non‐repairable components/parts in repairable systems are studied. In other words, the paper considers one‐component systems or a single component within a larger system. The operation and maintenance phases are dealt with in the study, along with the external operating environment and time independent influencing factors.

The introduced method for spare parts estimation will enable management to improve system availability and production line efficiency while minimizing total production costs. Consequently, the plant life cycle cost will be minimized by releasing the tied‐up costs incurred when stocking extra parts for a long time.

The paper provides a new outlook on product support and spare parts forecasting by taking the actual system operating environment into consideration. It helps managers and engineers to be realistic and act pragmatically while running and analyzing technical/industrial systems.

The purpose of this paper is to extend the work of fusing sensors with a Bayesian method to incorporate the sensor's reliability with regard to their operating environment. The results are then to be used with the expected decision formula, conditional entropy and mutual information for suboptimally selecting which types of sensors should be fused where there are operational constraints.

The approach is an extension of previous work incorporating an environment parameter. The expected decision formula then forms the basis for sensor selection.

The author found that the performance of the sensors is correlated to the environment of operation, given that the likelihood of error will be higher in a difficult terrain than would otherwise be the case. However, the author also shows the sensors for fusion will vary if the author knows specifically which terrain the sensors will be operating in.

The author notes that in order for this technique to be effective, a proper understanding of the limitations of the sensors, possible terrain types and targets have to be assumed.

The practical implication of this work is the ability to assess the performance of fused sensors according to the environment or terrain they might be operating under, thus providing a greater level of sensitivity than would otherwise be the case.

The author has extended previous ideas on sensor fusion from imprecise and uncertain sources using a Bayesian technique, as well as developed techniques regarding which sensors should be chosen for fusion given payload or other constraints.

Spare parts needs are dependent on the characteristics of the product in question, e.g. its reliability and maintainability, and the characteristics of the environment in which the product is going to be used (e.g. the temperature, humidity, and the user/operator's skills and capabilities), which constitute covariates. The covariates have a significant influence on the system reliability characteristics and consequently on the number of required spare parts. The main objective of this research study is to evaluate the associated risks (i.e. risk of shortage of spare parts) in estimation of the required number of spare parts due to not considering the characteristics of system operating environment.

An event tree is a graphical logic model that identifies and quantifies possible outcomes following an initiating event (non‐considering system operating environment in this case) in spare parts planning. In the present research a risk analysis is performed through a new and non‐standard event tree analysis. It used an event tree analysis in which the states of organization and managerial decisions took place in risk analysis.

In the present study a modified form of event tree analysis was introduced and implemented. In the new version the undesired states were used instead of barriers in combination with events and consequents changes as a safety function in event tree analysis. The output of the event tree analysis shows that there is a considerable operational risk due to losses (production and economical) associated with the non‐consideration of the machine working environment.

In the estimation of the accurate amount of support and spare parts needed for any industrial system/machine, it is strongly recommended to take the product operating environment into account. This can be proved by the event tree risk analysis method used in a modified and non‐standard form in the present research. The results of risk analysis can help managers in making accurate decisions for product support and spare part needs in the future.

Modified event tree analysis is a new approach suggested for visualizing the risk associated with non‐considering of system operating environment in required support/spare parts estimation. Visualization of risk in graphics can facilitate correct decision making in spare parts planning.

The purpose of this paper is to determine whether the altitude at which construction equipment operates affects or contributes to increased engine wear.

The study includes the evaluation of two John Deere PowerTech Plus 6,068 Tier 3 diesel engines, the utilization of OSA3 oil analysis laboratory equipment to analyze oil samples, the employment of standard sampling scope and methods, and the analysis of key Engine Control Unit (ECU) data points (machine utilization, Diagnostic Trouble Codes (DTCs) and engine sensor data).

At 250 h of engine oil use, the engine operating at 3,657 meters above sea level (MASL) had considerably more wear than the engine operating at 416 MASL. The leading and earliest indicator of engine wear was a high level of iron particles in the engine oil, reaching abnormal levels at 218 h. The following engine oil contaminants were more prevalent in the engine operating at the higher altitude: potassium, glycol, water and soot. Furthermore, the engine operating at higher altitude also presented abnormal and critical levels of oil viscosity, Total Base Number and oxidation. When comparing the oil sample analysis with the engine ECU data, it was determined that engine idling is a contributor for soot accumulation in the engine operating at the higher altitude. The most prevalent DTCs were water in fuel, extreme low coolant levels and extreme high exhaust manifold temperature. The ECU operating data demonstrated that the higher altitude environment caused the engine to miss-fire and rail pressure was irregular.

Many of the mining operations and construction projects are accomplished at mid to high altitudes. This research provides a comparison of how construction equipment engines are affected by this type of environment (i.e. higher altitudes, cooler temperatures and lower atmospheric pressure). Consequently, service engineers can implement maintenance strategies to minimize internal engine wear for equipment operating at higher altitudes.

The main contribution of this paper will help construction equipment end-users, maintenance engineers and manufacturers to implement mitigation strategies to improve engine durability for countries with operating conditions similar to those described in this research.

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

With rapid social development and deepening division of labor, more and more complex projects are required to be carried out in a team form. When evaluating team performance, previous research has usually treated team as a united entity. However, the operating environment of the team has a significant impact on its members and the interaction between them greatly influences the team's efficiency. To better evaluate team performance, we propose a circle loop to illustrate the relationship between the operating environment of the team and its members. A two-stage DEA model with feedback is developed to evaluate the team performance, together with the efficiencies of the operating environment and team members as well as their impacts on overall efficiency. Various conditions of the team are discussed to illustrate that team performance depends on the assumption of the conditions.

Although the relation between standardization/adaptation strategy and performance has been extensively examined in the international marketing literature, the findings concerning these factors are still inconclusive. The conflicting results might relate to the analysis approach adopted in prior research, which tends to focus on the direct effect of marketing strategies. By utilizing the contingency theory, the purpose of this paper is to uncover the moderation factors for the strategy‐structure‐performance paradigm in the export sector. Internal, external and product‐related factors are explored.

This study focuses on four strategy and structure combinations: The global approach (standardization‐centralization); the glocal approach (standardization‐decentralization); the regcal approach (adaptation‐centralization); and the local approach (adaptation‐decentralization). The interactive effect of the four approaches and a set of contingent factors are examined based on the experience of 151 exporting firms operating in the EU region. The respondent firms operate in various manufacturing and service industries.

It is revealed that firm size, international business experience, consumer characteristics, the legal environment, cultural distance and the nature of the products play a moderating role between a firm's adoption of a particular approach and its performance, as measured by market share and sales growth, dependent on the relevant marketing program elements (i.e. product, price, promotion and place).

The research findings presented in the paper have significant implications for future research and strategic application.

The purpose of this study is to explore the extent to which teamwork (developed either during an initial training phase or during a subsequent deployment phase) is influenced by the nature of the team’s environment (extreme vs non-extreme) and the extent to which teamwork is one of the explaining mechanisms for team performance.

Data was collected from 60 teams at 2 time-points: training phase in The Netherlands or Germany and deployment phase (in locations such as Afghanistan and Bosnia-Herzegovina).

This study’s results indicate that when teams consider working in extreme environments, they develop higher levels of teamwork as compared to teams expecting to work in non-extreme environments. These differences remain stable also during the deployment phase, such that teams operating in extreme environments will continue to have higher levels of teamwork as compared to teams operating in non-extreme environments.

With this study, the authors contribute to the teamwork quality research stream by empirically studying how teamwork quality develops in unique military contexts such as extreme environments. Studies in such contexts are relatively rare.