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The paper aims to develop a method for improving the accuracy of smart sensors (deemed as digital measuring instruments) by organizing combined measurements and processing their results by the parametric adjustment method at heterogeneous dispersion of the random error of the applied regression model.

When carrying out combined measurements, the problem of joint processing of measurement results of functionally related quantities must be solved. The function type can be known in advance or obtained experimentally. The number of combined measurements exceeds the number of unknown measured quantities. The redundant measurements can improve the accuracy of estimates of measured values but lead to inconsistency of the measurement results. The problem of inconsistency is solved by the parametric adjustment method, which is rather widely used mainly in the field of geodetic measurements, wherein the parametric equations are linear and the measured quantities are additive.

The proposed method allows to reduce the uncertainty of type B of a measurement result, caused by the maximum permissible error of a digital measuring instrument, by 1.2–4 times in comparison with the direct estimation method.

A compact description of the parametric adjustment method in matrix form is given. Recommendations are given on shaping a sensitivity matrix of functions for the proposed method. The geometric interpretation of the proposed method is considered. The results of the proposed method experimental testing are given when evaluating resistance values.

This paper aims to present a novel transfer alignment method based on combined double-time observations with velocity and attitude for ships’ poor maneuverability to address the system errors introduced by flexural deformation and installing which are difficult to calibrate.

Based on velocity and attitude matching, redesigning and deducing Kalman filter model by combining double-time observation. By introducing the sampling of the previous update cycle of the strapdown inertial navigation system (SINS), current observation subtracts previous observation are used as measurements for transfer alignment filter, system error in measurement introduced by deformation and installing can be effectively removed.

The results of simulations and turntable tests show that when there is a system error, the proposed method can improve alignment accuracy, shorten the alignment process and not require any active maneuvers or additional sensor equipment.

Calibrating those deformations and installing errors during transfer alignment need special maneuvers along different axes, which is difficult to fulfill for ships’ poor maneuverability. Without additional sensor equipment and active maneuvers, the system errors in attitude measurement can be eliminated by the proposed algorithms, meanwhile improving the accuracy of the shipboard SINS transfer alignment.

The application of proper measurement to a company generating products, services, cash flow and reputation largely from intellectual capital (IC) assets is examined. The particular focus is to measure the organisation so that the contributions of intangibles to the business are measured in their own right. If the measurements are feasible in practice (they are), they will render the tangible as well as the intangible assets of a company to be managed explicitly. Then the contributions of the intangibles to cash flow become measurable, and thence on to estimates of business value, and shareholder value. Shows that the process view of an organisation deconstructs the “classical” structure of IC categories and formulations, and rearranges them in a form whose state and process variables are observable, measurable, and properly dimensioned for a multidimensional measuring space. Ends with a demonstration of the method applied to a hotel organisation that exemplifies many of the problems of measuring and optimising IC assets.

The purpose of this paper is to compare performance measurement in the humanitarian relief chain with performance measurement in the commercial supply chain, develop performance metrics for the humanitarian relief chain, and present a framework that can be used as a basis for a performance measurement system in the relief sector.

The performance measurement analysis is developed through extensions on an existing performance measurement framework. Details regarding relief chain system were obtained through off‐site and on‐site interviews with relief professionals from World Vision International.

The paper finds that this work yielded: a comparison of performance measurement in the humanitarian relief chain with performance measurement in the commercial supply chain, new performance metrics for the humanitarian relief chain, and a performance measurement framework for the relief chain.

The paper shows that future work includes performance measurement in community involvement and empowerment, performance measurement in community development, performance measurement in the combined relief and development mission, and understanding the role and impacts of cooperation and coordination in the relief chain.

This paper provides a practical procedure for developing effective performance measurement systems for relief logistics processes.

The paper presents to humanitarian relief professionals a new approach to performance measurement for relief logistics and to researchers in supply chain performance a comparison and contrast between performance measurement for relief and performance measurement in the commercial chain, new performance metrics for the relief chain, and implications for modern, quick‐response supply chains.

The purpose of this paper is to identify the fundamentals of a performance measurement system (PMS), in order to ascertain if they satisfy the measurement requirements of business process management (BPM) by means of a systematic review of the literature.

The paper uses meta‐analysis to systematically review and examine existing BPM and PMS from the business, non‐business and public sectors. A specific methodology using categorization concept was used to select the appropriate articles. In total, 42 relevant articles are selected and later analyzed. A subsequent content analysis of the information obtained is applied to identify the gaps in the current literature.

The growing interest in PMS has produced an extraordinarily large numbers of papers on the topic. This paper found that, by and large, the PMS as advocated by various authors for over 20 years (since 1990) failed to fulfill the measurement requirements of BPM. This is alarming, considering that past critics of PMS have indicated that the weaknesses of PMS in relation to BPM applied only in isolated or specific situations such as information technology (IT). These findings dispel the notion that a PMS is a prerequisite to the introduction of an effective BP in organizations.

This paper has identified the gaps (weaknesses) of current PMS in meeting the measurement requirements of BPM. This paper proposes a theoretical integrated framework which encompasses a management system, that combines with a measurement system and business processes, and which can be implemented using the popular value‐chain methodology to measure and compare performance within BP organizations.

The results presented contribute towards providing an updated overview of the current state of research into PMS and its relevance to BPM, in order to identify existing research gaps, issues and concerns upon which ongoing and future research efforts on this topic can be built.

This study aims to investigate the role of two structural factors – threat level depicted on fear messages and warning size – as well as two contextual factors – repeated exposure and type of packs – on pictorial and threatening tobacco warnings’ effectiveness.

A two (warning threat level: moderate vs high) × two (coverage: 40 vs 75 per cent) × two (packaging type: plain vs branded) within-subjects experiment was carried out. Subjects were exposed three times to pictorial and threatening tobacco warnings. Both self-report and psychophysiological measurements of emotion were used.

Results indicate that threat level is the most effective structural factor to influence smokers’ reactions, while warning size has very low impact. Furthermore, emotional arousal, fear and disgust, as well as attitude toward tobacco brand, decrease after the second exposure to pictorial and threatening tobacco warnings, but stay stable at the third exposure. However, there is no effect of repetition on the emotional valence component, arousal-subjective component, on intention of quitting or of reducing cigarette consumption. Finally, there is a negative effect of plain packs on attitude toward tobacco brand over repeated exposures, but there is no effect of the type of packs on smokers’ emotions and intentions.

Useful marketing social guidance, which might help government decision-makers increase the effectiveness of smoking reduction measures, is offered.

For the first time in this context, psychophysiological and self-report measurements were combined to measure smokers’ reactions toward pictorial and threatening tobacco warnings in a repeated exposure study.

In this paper, a preliminary framework for the assessment of change management is developed, based on recent research and case interviews at three consulting companies. The framework distinguishes between efficiency and effectiveness measurements on change management, and evaluates the management methods and outcomes of the change projects separately. The framework is applied to analyze and compare the change projects in three Finnish manufacturing companies. The results indicate that the preliminary framework can explain the difference between successful and less successful change management in manufacturing processes. By applying the measurement framework in practice, organizations can continuously improve their change management capabilities. More empirical research is needed to test the framework further.

This study aims to compare cavitation shapes between the simulating test rig and the engines to strengthen the findings that were first observed in the simplified experiments. Different forms of cavitation were identified, and their shape and size (length and width) were dictated from reciprocating speed and viscosity of the lubricant. Cavitation degrades performance in engineering applications and its effect is that it alters the oil film pressure.

Lubricant formulations were used for parametric study as well as different operating testing parameters in a simulating test rig and single cylinder engines with visualisation windows. An algorithm was used for extracting cavitation data from imaging, and comparison was made.

Similar phenomena at the simulating test rig and the engine were investigated and compared. The effect of different operating conditions was assessed along with the variations produced from the parametric lubricant study.

Engine results are limited due to manufacturing difficulties of visualisation windows and oil starvation. Firing tests are another difficult challenge as the modified section pressure is under more pressure and the window view is affected by combustion process. Limited pictures can be captured before cleaning is required. A lubricant manufacturer has to provide data regarding the chemistry of the lubricants.

The effect of cavitation in piston ring lubrication along with variable operating and lubricant parameters is further studied with quantification of cavitation results through image processing. These forms of cavities are affected by lubricant properties and operating conditions. A link between viscosity, cavitation, shear thinning properties, oil film thickness (OFT) and friction is given.

The NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.

Athleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.

Evidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.

The paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.