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The purpose of this paper is to review the characterisation of the concept of service experience in service marketing research.

Using content analysis, 30 articles and two books published in the period from 2005 to 2007 are analysed.

Three characterisations of the concept of service experience are identified in the literature review: phenomenological service experience (which relates to the value discussion in service‐dominant logic and interpretative consumer research); process‐based service experience (which relates to understanding service as a sequential process); and outcome‐based service experience (which relates to understanding service experience as one element in models of service linking a number of variables or attributes to various outcomes).

To facilitate meaningful research in this area, it is important that researchers critically consider the nature of the concept of service experience in terms of who experiences it, the scope, content, and context of the service experience, and how service experience relates to other concepts, such as value.

No systematic literature review of the characterisation of the concept of service experience has previously been undertaken.

The accountant has been characterised in popular culture as dull and boring. Accounting scholarship consistently describes this stereotype as negative. The purpose of this research is to enhance our understanding of this stereotype by comparing the characterisation of the accountant found in contemporary jokes with a similar characterisation found in commedia dell'arte, which is a form of improvisational theatre.

This research employs netnography to identify the stereotype of the accountant portrayed in jokes on social networking sites. To enrich our understanding of the stereotype of the characterisation of the accountant in contemporary jokes, it is compared with the characterisation of il dottore, the stock character of the professional man in commedia dell'arte.

The characterisation of the accountant in contemporary jokes is consistent with characterisations of the accountant in other areas of popular culture, confirming that the stereotype is widely entrenched in popular culture. Contemporary jokes provide a more detailed characterisation than previously identified in accounting scholarship. Since the stereotype of il dottore in commedia dell'arte resembles the stereotype of the accountant as portrayed in contemporary jokes, studying commedia dell'arte provides an approach that enhances our understanding of the characterisation of the accountant in popular culture.

The contribution of this research to accounting scholarship is the deployment of commedia dell'arte to capture the essence of the stereotype of the accountant as portrayed in popular culture. Extending the definition of popular culture to include contemporary jokes brings a unique use of netnography to accounting scholarship.

Considers a system (machine) that is subject to failure (breakdown). Two characterizations are presented. In the first characterization, the state of the system is described by the real age of the machine and the number of failures incurred to date. In the second characterization, the state of the system is described by the real age of the machine and the virtual age of the machine. In either characterization, upon failure, the unit may undergo a repair which can partially reset the failure intensity of the unit. The degree of reset assumed by the repair is a function of the characterization utilized. The other alternative, at a failure, is to conduct a major overhaul that serves to refresh the failure intensity of the unit. General cost structures, depending upon (real age, number of failures) in characterization one or (real age, virtual age) in characterization two are permitted. The decision, on failure to repair or renew is formulated as a discrete semi‐Markov Decision process. Optimal decisions are of the threshold type. The threshold rules depend upon the characterization.

This chapter sets forth a plan designed to encourage and enable teachers to engage in first-person characterization in their classrooms. The author draws on his extensive background in social studies teaching, administration, and consulting to argue for the value of historical interpretation within the context of today's curricular emphasis on science, technology, engineering, and mathematics (STEM). This chapter then explores and explains historical interpretation from a classroom perspective, focusing on pedagogical best practices. In a first-person presentation, the presenter assumes the identity of a historical figure. The first question to be asked then is, Who is the individual I wish to represent, and why? This person should be selected from subject matter being studied in your class. Be aware that it is necessary to anticipate some element of controversy when you undertake this activity. With rare exceptions, any historical figure selected for portrayal will have something questionable in their background, and you will have to contend with this. So, the next question to ask is, Why engage in first-person interpretation in the first place? In this chapter, experienced teachers provide reasons for doing so, and consider necessary preparations for effectively implementing such a characterization. That discussion leads to examining ways to ensure successful presentations that achieve established lesson goals, followed by suggestions for debriefing and effectively bringing closure to the exercise. As the accompanying lesson extension demonstrates, a characterization can ground further study of an issue associated with the individual being depicted.

This paper addresses two fundamental issues with regard to the production of printed circuit boards (PCBs). First, the paper presents a statistically‐based, four‐phase strategy aimed at better organising and facilitating the characterisation of a manufacturing process. The fact that the case study addresses copper plating thickness of PCBs is secondary to the characterisation strategy. In this sense, the strategy is universal by nature. Second, the paper provides analytical insight into a new statistical methodology aimed at establishing coupon‐to‐board correlation. The general concepts surrounding these two issues are embodied within the given PCB case study. Essentially, the case analysis systematically progresses through all four phases of the parameter characterisation strategy, highlighting the key aspects of each phase. In addition, the aforementioned technique for assessing coupon‐to‐board correlation is given substantiative discussion. However, it should be pointed out that a thorough narration pertaining to many of the statistical and engineering details of the case analysis has been deliberately omitted for the sake of brevity and reading ease. As a result of such considerations, it is assumed that the reader has a working knowledge of descriptive and inferential statistics, as well as experiment design. The benefit of this approach is simple—focus is easily given to the analytical strategy and order of execution without the usual clouding imposed by mathematical explanations.

Fracture characterization of human cortical bone under pure mode I loading was performed in this work. The purpose of this paper is to validate the proposed test and procedure concerning fracture characterization of human cortical bone under pure mode I loading.

A miniaturized version of the double cantilever beam (DCB) test was used for the experimental tests. A data reduction scheme based on crack equivalent concept and Timoshenko beam theory is proposed to overcome difficulties inherent to crack length monitoring during the test. The application of the method propitiates an easy determination of the Resistance-curves (R-curves) that allow to define the fracture energy under mode I loading from the plateau region. The average value of fracture energy was subsequently used in a numerical analysis with element method involving cohesive zone modelling.

The excellent agreement obtained reveals that the proposed test and associated methodology is quite effective concerning fracture characterization of human cortical bone under pure mode I loading.

A miniaturized version of traditional DCB test was proposed for cortical human bone fracture characterization under mode I loading owing to size restrictions imposed by human femur. In fact, DCB specimen propitiates a longer length for self-similar crack propagation without undertaking spurious effects. As a consequence, a R-curve was obtained allowing an adequate characterization of cortical bone fracture under mode I loading.

This paper aims to address the use of modelling and simulation tools to enhance intangible process assets management by simulating and automating their characterization depending on their quality and impact on an organizational business goal.

The authors conducted a study comparing two simulation-based approaches to characterize intangible assets: system dynamics and agent-based simulation.

Strategic business studies have not yet considered the use of simulation techniques to characterize the intangible assets at length. The proposed solution introduces significant improvements for strategic data visualization, providing company stakeholders with a practical and helpful prism through which to view an easily adaptable, cheap and meaningful source of information about their company’s process assets, and their behaviour based on operation indicators.

This research offers decision-makers in knowledge-intensive organizations alternatives for effective strategic decision-making and for leveraging prospective views based on the specification of the organization’s knowledge. To do this, stakeholders will be able to use very promising low-cost simulation-based tools to create practical scenarios and potential situations that generate inputs for debate and decision-making by senior and middle management.

This paper reports an unprecedented comparative study of system dynamics and agent-based simulation to speed-up the characterization of the intangible process assets based on their quality and impact on strategic goals. It stresses the benefits and implications of the use of these techniques for better strategic management.

This paper aims to focus on research work related to metamaterial-based sensors for material characterization that have been developed for past ten years. A decade of research on metamaterial for sensing application has led to the advancement of compact and improved sensors.

In this study, relevant research papers on metamaterial sensors for material characterization published in reputed journals during the period 2007-2018 were reviewed, particularly focusing on shape, size and nature of materials characterized. Each sensor with its design and performance parameters have been summarized and discussed here.

As metamaterial structures are excited by electromagnetic wave interaction, sensing application throughout electromagnetic spectrum is possible. Recent advancement in fabrication techniques and improvement in metamaterial structures have led to the development of compact, label free and reversible sensors with high sensitivity.

The paper provides useful information on the development of metamaterial sensors for material characterization.

This paper presents a new algorithm for detecting and characterizing potholes and bumps directly from noisy signals acquired using an Accelerometer. A wavelet transformation based filter was used to decompose the signals into multiple scales. These coefficients were correlated across adjacent scales and filtered using a spatial filter. Road anomalies were then detected based on a fixed threshold system, while characterization was achieved using unique features extracted from the filtered wavelet coefficients. Our analyses show that the proposed algorithm detects and characterizes road anomalies with high levels of accuracy, precision and low false alarm rates.

The purpose of this paper is to explore the ways in which narratives of collaborations tagged as successful may be constructed around common characterizations of participants, in order to provide insights to the ways in which stories may be constructed as vehicles for the adoption or adaptation of good or promising practices.

Qualitative interview data from three collaborative situations are analysed through a narrative‐centred procedure with a particular focus on micro‐stories.

The paper provides a set of recurring characterizations observed within narratives of successful collaboration and their employment within the stories offered by collaborating partners. It also suggests the relationship that these characterizations might have to the stimulation or retardation of good collaborative practices.

The paper is derived from interviews in the UK context and extrapolation to other contexts seems plausible but should be conducted cautiously and with reflection.

The particular style of narrative analysis conducted in this work has not been employed to the consideration of collaborative accounts and the characterizations derived may have utility as anchoring elements in stories of collaboration, helpful in both the elicitation and interpretation of such accounts.