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This paper sets out to highlight the problem associated with the development of fieldbus diagnostics in a multi‐vendor environment and to propose a solution based on diagnostic function blocks (FB).

The work focuses on the “master‐slave” communication model in a PROFIBUS fieldbus system, where three different vendor solutions are investigated.

Although the fieldbus standards specify the type and format of the diagnostics data, the extent, location and sequence of diagnostics data within a controller are entirely vendor‐dependent. The outcome from this work defines a framework for representing the diagnostics data in the context of a special function block.

This research work defines a novel unified framework for representing the fieldbus diagnostics data using FB for multi‐vendor solutions in a PROFIBUS environment.

Purpose – There is a paucity of research that examines how diagnostic decisions are made by psychiatrists. Moreover, previous work in the area tends to be grounded in labeling theory, which highlights the conflict-based nature of diagnosis. The goal of this research is to examine the utility and benefits of diagnosis to psychiatrists' everyday work.

Methodology – Using institutional ethnography (IE), I undertook a small-scale interview-based study that documented the diagnostic processes of three psychiatrists in Calgary, Alberta, Canada. The IE-based goals of the study were to: (1) identify what texts were employed during the diagnostic process, (2) map sequences of action and text that coordinated psychiatric decision-making, and (3) theorize the utility of diagnosis for the everyday work of psychiatrists.

Findings – The analysis demonstrates how diagnosis can be understood as a valuable work process that produces a standardized diagnostic story in order to bring an individual's experiences of distress into relation with psychiatrists' daily practices, and institutional discourses more generally.

Limitations – Although IE-based research does not depend on large sample sizes for analytic accuracy, results from the current study need to be replicated because of the limited number of interview participants and to examine whether the diagnostic process is generalizable to other settings.

Social implications – This research challenges the idea that standardization through diagnosis is a negative process and highlights the value of diagnostic decision-making in the daily work of psychiatrists.

Purpose – This chapter has two central purposes. The first is to suggest that western, as well as non-western, illness categories are culture bound. The second is to elucidate the diagnostic and treatment implications associated with adopting a reductionistic diagnostic approach, including for psychiatric as well as nonpsychiatric illnesses.

Approach – A comparative approach is used to highlight the differences between American psychiatry's diagnostic system (i.e., DSM) and French child psychiatry's diagnostic system (CFTMEA). The analysis begins by identifying the overarching differences between the systems, then analyzes the differences between their respective versions of the Attention Deficit/Hyperactivity Disorder diagnostic category, and ends by tracing the diagnostic and treatment implications of those differences.

Findings – This analysis reveals that the systems differ in three significant ways: (1) theoretical orientation (biological vs. psychodynamic), (2) the view that symptoms should be counted as opposed to understood, and (3) the presence of symptom checklists versus their absence. Additionally, these differences encourage American clinicians to both administer the ADHD diagnosis to a greater number of symptomatic children and to treat these children with psychiatric medications.

Contributions to the field – The analysis makes three contributions to the field: (1) the comparative analysis highlights the limitations of the DSM's ADHD definition; (2) it strengthens the case for seeing western diagnostic categories in general, and the DSM categories in particular, as cultural artifacts; (3) it elucidates the profound relationship between diagnostic systems and both diagnostic rates and treatment practices.

An important current trend in health care is the move toward personalized medicine. Personalized medicine includes diagnostic and therapeutic interventions, with risk defined through genetics. The key paradigm shift brought about by the advent of personalized medicine is the increased use of in vitro genomic diagnostics. These tests offer the potential of being able to predict which patients are likely to respond to a particular drug, or which patients are likely to develop adverse reactions to a drug. The focus of this paper is the use of genomic diagnostics, and how the increasing development and translation into clinical practice of diagnostic – drug combination products will be adopted into health care delivery. The meaning of value and how to measure it is considered from different perspectives. A novel framework for evaluating the value of genomic diagnostics is proposed. Finally, the implications for regulatory approval and policy are discussed using an illustrative case study.

In this book it was proposed that autistic females and African American autistics are usually not participants in autistic research because they rarely receive an autism diagnosis. If diagnostic services were made more congenial for autistics from these groups, then the prospect of them being diagnosed as autistic and being available to be research participants would increase. To help achieve this outcome, this chapter begins by presenting some typical barriers that autistics encounter when trying to access autism diagnostic services. This is followed by an explanation of some consequences of this exclusion for autistics, their families and the research community. In an attempt to mitigate these consequences, and to increase the pool of potential autistic candidates for research, this chapter concludes with a series of suggestions to improve the public's accessibility to autism diagnostic services as well as suggestions for improving the autism diagnostic process for both children and adults.

The contribution that this chapter makes to the field of autism spectrum research is to provide clinicians with some important concepts that will help autistics feel valued and accepted during the diagnostic process. A potential flow-on effect of this knowledge is that more autistics who have experienced feeling valued and accepted by clinicians will be more inclined to be involved in research.

The purpose of this chapter was to develop a framework for comprehensive business diagnostics, which can be integrated into the management of small and medium-sized businesses.

The chapter proposes a multiloop model of comprehensive business diagnostics, which provides the company with timely and objective information about the dynamics of its key performance indicators. The model allows enterprises of the real sector to optimize the information acquiring process with the help of the express diagnostics indicators and ensure the high quality and efficiency of the obtained information. Testing of the multiloop model at the Pavlovo Posad Shawl Manufactory JSC involved three stages: express diagnostics (ED), general diagnostics (GD), and comprehensive diagnostics (CD).

The results determined the need to move to the comprehensive diagnostics (CD) loop of the model. The approbation of the suggested model at the shawl manufacture, particularly the CD loop, allowed the authors to identify the key factors influencing the company's main economic and financial indicators.

The proposed multiloop model can be used at enterprises with different forms of ownership, including small and medium-sized businesses, both in Russia and abroad.

A multiloop model of comprehensive business diagnostics provides managerial staff with qualitative real-time information that helps them make informed and effective management decisions.

The proposed multiloop model allows businesses to acquire data about the dynamics of key indicators, determine the factors' impacts on key financial and economic indicators, and ensure high efficiency of management decisions with minimal cost.

This paper proposes a progressive, multi-level framework for diagnosing maintenance performance: rapid performance health checks of key performance for different equipment groups and end-to-end process diagnostics to further locate potential performance issues. A question-based performance evaluation approach is introduced to support the selection and derivation of case-specific indicators based on diagnostic aspects.

The case research method is used to develop the proposed framework. The generic parts of the framework are built on existing maintenance performance measurement theories through a literature review. In the case study, empirical maintenance data of 196 emergency shutdown valves (ESDVs) are collected over a two-year period to support the development and validation of the proposed approach.

To improve processes, companies need a separate performance measurement structure. This paper suggests a hierarchical model in four layers (objective, domain, aspect and performance measurement) to facilitate the selection and derivation of indicators, which could potentially reduce management complexity and help prioritize continuous performance improvement. Examples of new indicators are derived from a case study that includes 196 ESDVs at an offshore oil and gas production plant.

Methodological approaches to deriving various performance indicators have rarely been addressed in the maintenance field. The proposed diagnostic framework provides a structured way to identify and locate process performance issues by creating indicators that can bridge generic evaluation aspects and maintenance data. The framework is highly adaptive as data availability functions are used as inputs to generate indicators instead of passively filtering out non-applicable existing indicators.

Despite the availability of many metrics and tools for marketing performance measurement, the way in which firms use their marketing metrics remains underexplored. This study aims to address this gap by empirically establishing the differing effects of the diagnostic and interactive uses of marketing metrics on firms’ market-sensing capability, contingent on competitive intensity and focus on market-related metrics.

This study builds on survey data collected from 210 Irish-based firms, complemented by 21 in-depth interviews with business managers. Survey data are analysed using regression analysis.

This study finds that firms using marketing metrics interactively to communicate organizational focus are better able to sense their markets, especially under high competition. The authors observe a positive impact of the interactive use of metrics on market-sensing capability, but a U-shaped impact of their diagnostic use, the magnitudes of which further depend on competitive intensity and firms’ focus on market-related metrics.

This study provides a nuanced view of marketing performance measurement (MPM) practices within firms, particularly focussing on diagnostic versus interactive uses of marketing metrics. It also sheds further light on how two diverse uses of marketing metrics – diagnostic and interactive uses – influence a firm’s market-sensing capability. Moreover, the identification of boundary conditions also contributes to the discussion of contextuality in MPM, highlighting the importance of aligning a firm’s uses of marketing metrics with its business environment.

This study provides novel insights into how diverse uses of marketing metrics may benefit firms. The differing effects of diagnostic and interactive uses of marketing metrics on market sensing highlight a primary need for developing the latter and for using the former only with caution. It establishes that all firms would equally benefit from an interactive use of marketing metrics that is pivotal to improving their ability to anticipate, detect and sense market changes.

This study provides novel understanding of the role of marketing metric uses in firms’ market-sensing capability and contributes to the discussion of contextuality in marketing performance measurement. It highlights the importance of aligning a firm’s use of marketing metrics with its business environment.

Organizational development and change may be initiated from two different starting points. A diagnostic approach begins with an examination of problems to assess and correct dysfunction. In contrast, the Appreciative Inquiry approach begins by identifying an organization’s strengths as resources for change. An experimental study was conducted to compare the processes and outcomes that arise during the first phase of each approach. Results show that both approaches lead to different but favorable and complementary outcomes. Both participant gender and the gender construction of the dyads in which individuals participated moderate these effects in unexpected ways. The implications for understanding the processes by which both methods work, and the potential for combining them, are discussed

The purpose of this paper is to analyze the effects on quality-related learning resulting from the use of the quality cost information (QCI). Specifically, this paper analyzes to what extent the diagnostic and interactive uses of QCI contribute to improve quality-related learning.

The proposed model was tested using a structural equation modeling procedure with AMOS and the data were collected through a questionnaire survey conducted on a sample of Portuguese certified companies.

The results shed light on expected relationships since the interactive style of use of QCI, unlike the diagnostic style of use, has a positive effect on quality-related learning. However, the diagnostic use of QCI was found to be a predecessor of the interactive use of QCI, in line with previous studies. Finally, diagnostic use of QCI exerts an indirect positive impact on quality-related learning through the interactive use of QCI.

This paper contributes to the body of research on the use of interactive and diagnostic systems, providing evidence that a balance between those systems improves quality-related learning.

The results show that the use of QCI to promote participation, dialogue and involvement of all participants (according to an interactive style of use), and not just to control the accomplishment of predetermined objectives (according to a diagnostic style of use), is a necessary condition for quality-related learning.

Despite the wide-ranging literature focused on the identification, measurement and reporting of QCI, less attention has been paid to how this information is used in the management process. The way in which the use of QCI can contribute to the improvement in quality-related learning is also an unexplored topic in the literature.