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This chapter discussed the role of business intelligence (BI) in healthcare twofold strategic decision making of the organization and the stakeholders. The visualization techniques of data mining are applied for the early and correct diagnosis of the disease, patient’s satisfaction quotient and also helpful for the hospital to know their best commanders.

In this chapter, the usefulness of BI is shown at two levels: at doctor level and at hospital level. As a case study, a hospital is taken which deals with three different kinds of diseases: Breast Cancer, Diabetes, and Liver disorder. BI can be applied for taking better strategic decisions in the context of hospital and its department’s growth. At the doctor level, on the basis of various symptoms of the disease, the doctor can advise the suitable treatment to the patients. At the hospital level, the best department among all can be identified. Also, a patient’s type of admission, continued their treatments with the hospital, patient’s satisfaction quotient, etc., can be calculated. The authors have used different methods like Correlation matrix, decision tree, mosaic plots, etc., to conduct this analysis.

While deficits for students with learning disabilities (LD) are prevalent in almost all aspects of mathematics, difficulty in the application and understanding of problem-solving tasks are much more challenging to remediate than computational and procedural skills. Given the complexities involved in authentic problem-solving activities emphasized in current mathematics standards and the inherent challenges presented to students with LD, the importance of using strategies and techniques guided by evidence-based practices is paramount. Yet, ineffective instructional strategies for problem solving are still widespread in both mathematics curricula and available teacher resources. In this chapter, we provide a description of a commonly used ineffective problem-solving strategy (i.e., the keyword strategy), an overview of the keyword research, and an explanation for its ineffectiveness. We conclude with a description of three evidenced-based problem-solving approaches and practices that significantly improve the mathematical performance of students with LD.

Social media stage online patterns of social interaction that differ remarkably from ordinary forms of acting, talking and relating. To unravel these differences, we review the literature on micro-sociology and social psychology and derive a shorthand version of socially-embedded forms of interaction. We use that version as a yardstick for reconstructing and assessing the patterns of sociality social media promote. Our analysis shows that social media platforms stage highly stylized forms of social interaction such as liking, following, tagging, etc. that essentially serve the purpose of generating a calculable and machine-readable data footprint out of user platform participation. This online stylization of social interaction and the data it procures are, however, only the first steps of what we call the infrastructuring of social media. Social media use the data footprint that results from the stylization of social interaction to derive larger (and commercially relevant) social entities such as audiences, networks and groups that are constantly fed back to individuals and groups of users as personalized recommendations of one form or another. Social media infrastructure sociality as they provide the backstage operations and technological facilities out of which new habits and modes of social relatedness emerge and diffuse across the social fabric.

Drawing on sociolinguistics, this chapter proposes an encoding–decoding perspective on evaluation, conceptualizing codes as interpretive schemas that are encoded by firms and decoded by audiences. A key element in this process is code complexity, denoting combinations of interdependent elements. We demonstrate that the evaluation of code complexity depends on the type of audience (professionals and laypersons) and the type of complexity (technological and aesthetic). We analyze the attribution of awards by professionals and the public in luxury watchmaking, featuring three mechanisms: the social embeddedness of audiences, their motivation for evaluation and supply-and-demand matching. The results attest to significant differences in the evaluation of technological and aesthetic code complexity by professionals and laypersons. There is a premium attributed to aesthetic code complexity by professionals and a premium attributed to technological complexity by laypersons. Finding the right type and level of code complexity to pursue in their offerings is a key strategic challenge for producers.

This article explores how the commentary of intermediaries – third-party entities that do not have direct economic stakes in the sales of goods – can contribute to the creation of new market categories comprising preexisting but neglected and undervalued goods. Specifically, I study how the Sundance Institute facilitated the creation of a market for independent cinema in the United States, suggesting that intermediaries create market categories by defining boundaries, generating criteria of evaluation, and setting standards for measuring and establishing hierarchies of quality, which help audiences understand and value the category. The study, thus, adds nuance to our understanding of markets and categories.

Recent research finds that producers assigned to multiple categories receive less attention and legitimacy and have lower chances of success and survival. We argue that the effect of category spanning on the reception from the audience depends on the fuzziness of the categories. When a set of categories lacks contrast (have very fuzzy boundaries), spanning them does not cause much additional confusion for the audience, thus the penalties associated with spanning ought to be slight. But, when the contrasts of the categories spanned are high, audience members will have difficulty interpreting the producer, so spanning categories will be devalued more. We study these processes using data from an online-review web site. Results show that audience members devalue organizations that span high-contrast categories more than those that span low-contrast categories. These effects are weaker for more active reviewers.

We link counterproductive work behavior (CWB) (particularly workplace bullying) and organizational citizenship behavior to individual narcissism and organizational culture. We link counterproductive work culture in turn to organizations' leader(s), enumerating multiple roles an executive may play: actor, target, ignorer, enabler, rewarder, or, ultimately, champion of change. Both positive (citizenship) and negative (counterproductive) behaviors are associated with narcissism, a complex, multifaceted set of personality characteristics, primarily based on the individual's cognitive interpretation of self and the world. Theoretical interpretations of reactive CWB (stressor-emotion-control theory) and instrumental CWB (theory of planned behavior) support the development of coaching and counseling interventions. Cognitive behavioral theory (CBT)-based prescriptive executive coaching is proposed as a promising mechanism for redirecting narcissistic organizational players from counterproductive to citizenship schemas and behaviors.

The employee-organization relationship (EOR) has increasingly become a focal point for researchers in organizational behavior, human resource management, and industrial relations. Literature on the EOR has developed at both the individual – (e.g. psychological contracts) and the group and organizational-levels of analysis (e.g. employment relationships). Both sets of literatures are reviewed, and we argue for the need to integrate these literatures as a means for improving understanding of the EOR. Mechanisms for integrating these literatures are suggested. A subsequent discussion of contextual effects on the EOR follows in which we suggest that researchers develop models that explicitly incorporate context. We then examine a number of theoretical lenses to explain various attributes of the EOR such as the dynamism and fairness of the exchange, and new ways of understanding the exchange including positive functional relationships and integrative negotiations. The article concludes with a discussion of future research needed on the EOR.