Charles Lockhart, Kristin Klopfenstein, Jean Giles-Sims and Cathan Coghlan
Federal and state governments collaborate on state Medicaid nursing facility long-term care (SMNF-LTC) programs. These programs are increasingly expensive as the baby-boomers…
Abstract
Purpose
Federal and state governments collaborate on state Medicaid nursing facility long-term care (SMNF-LTC) programs. These programs are increasingly expensive as the baby-boomers retire. Yet serious resident outcome problems continue in spite of the Centers for Medicare and Medicaid Services’ (CMS) extensive process-focused regulatory efforts. This study identifies a promising and simpler auxiliary path for improving resident outcomes.
Methodology/approach
Drawing on a longitudinal (1997–2005), 48-state data set and panel-corrected, time-series regression, we compare the effects on resident outcomes of CMS process-focused surveys and four minimally regulated program structural features on which the states vary considerably.
Findings
We find that each of these four structural features exerts a greater effect on resident outcomes than process quality.
Research limitations/implications
We suggest augmenting current process-focused regulation with a less arduous approach of more extensive regulation of these program features.
Originality/values of chapter
To date SMNF-LTC program regulation has focused largely on member facility processes. While regulating processes is appropriate, we show that regulating program structural features directly, an arguably easier task, might well produce considerable improvement in the quality of resident outcomes.
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Dirk Tempelaar, Bart Rienties and Quan Nguyen
This empirical study aims to demonstrate how the combination of trace data derived from technology-enhanced learning environments and self-response survey data can contribute to…
Abstract
Purpose
This empirical study aims to demonstrate how the combination of trace data derived from technology-enhanced learning environments and self-response survey data can contribute to the investigation of self-regulated learning processes.
Design/methodology/approach
Using a showcase based on 1,027 students’ learning in a blended introductory quantitative course, the authors analysed the learning regulation and especially the timing of learning by trace data. Next, the authors connected these learning patterns with self-reports based on multiple contemporary social-cognitive theories.
Findings
The authors found that several behavioural facets of maladaptive learning orientations, such as lack of regulation, self-sabotage or disengagement negatively impacted the amount of practising, as well as timely practising. On the adaptive side of learning dispositions, the picture was less clear. Where some adaptive dispositions, such as the willingness to invest efforts in learning and self-perceived planning skills, positively impacted learning regulation and timing of learning, other dispositions such as valuing school or academic buoyancy lacked the expected positive effects.
Research limitations/implications
Due to the blended design, there is a strong asymmetry between what one can observe on learning in both modes.
Practical implications
This study demonstrates that in a blended setup, one needs to distinguish the grand effect on learning from the partial effect on learning in the digital mode: the most adaptive students might be less dependent for their learning on the use of the digital learning mode.
Originality/value
The paper presents an application of embodied motivation in the context of blended learning.
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Cynthia A. Thompson, Steven A.Y. Poelmans, Tammy D. Allen and Jeanine K. Andreassi
In this chapter, we review empirical research evidence regarding coping and work–family conflict. Limitations and gaps associated with the existing literature are discussed. Of…
Abstract
In this chapter, we review empirical research evidence regarding coping and work–family conflict. Limitations and gaps associated with the existing literature are discussed. Of special note is the finding that there is little systematic research that examines the process of coping with work–family conflict. Building on the general stress and coping literature, we present a theoretical model that is specifically focused on the process of coping with work–family conflict, and highlight presumed personal and situational antecedents. Finally, the chapter concludes with an agenda for future research.
Marc Lemire, Olivier Demers‐Payette and Justin Jefferson‐Falardeau
Developing a performance measure and reporting the results to support decision making at an individual level has yielded poor results in many health systems. The purpose of this…
Abstract
Purpose
Developing a performance measure and reporting the results to support decision making at an individual level has yielded poor results in many health systems. The purpose of this paper is to highlight the factors associated with the dissemination of performance information that generate and support continuous improvement in health organizations.
Design/methodology/approach
A systematic data collection strategy that includes empirical and theoretical research published from 1980 to 2010, both qualitative and quantitative, was performed on Web of Science, Current Contents, EMBASE and MEDLINE. A narrative synthesis method was used to iteratively detail explicative processes that underlie the intervention. A classification and synthesis framework was developed, drawing on knowledge transfer and exchange (KTE) literature. The sample consisted of 114 articles, including seven systematic or exhaustive reviews.
Findings
Results showed that dissemination in itself is not enough to produce improvement initiatives. Successful dissemination depends on various factors, which influence the way collective actors react to performance information such as the clarity of objectives, the relationships between stakeholders, the system's governance and the available incentives.
Research limitations/implications
This review was limited to the process of knowledge dissemination in health systems and its utilization by users at the health organization level. Issues related to improvement initiatives deserve more attention.
Practical implications
Knowledge dissemination goes beyond better communication and should be considered as carefully as the measurement of performance. Choices pertaining to intervention should be continuously prompted by the concern to support organizational action.
Originality/value
While considerable attention was paid to the public reporting of performance information, this review sheds some light on a more promising avenue for changes and improvements, notably in public health systems.
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Jacqueline Zinn, Vincent Mor, Zhanlian Feng and Orna Intrator
In this chapter, we investigate whether innovation, as measured by an aggregate weighted innovation score, impacts on nursing home performance. We employ multiple measures of…
Abstract
In this chapter, we investigate whether innovation, as measured by an aggregate weighted innovation score, impacts on nursing home performance. We employ multiple measures of performance, including occupancy rate, payer mix, and the number of deficiencies cited on the annual Medicare/Medicaid recertification survey. Arguing from a contingency perspective, we hypothesize that the performance of nursing homes that engage in minimal innovation will not be significantly different from those that do not innovate at all. However, those that engage in more extensive innovation will have superior performance. Using Online Survey, Certification, and Reporting data from 1997 to 2002, we conducted a series of logit regressions, controlling for organizational and market characteristics that could influence nursing home performance. The results of these analyses support our hypotheses. From a theoretical perspective, this evidence is consistent with contingency theory arguments that organizations that are not responsive to a changing environment will experience declining performance. From a managerial perspective, these results support the importance of the entrepreneurial spirit in the nursing home industry.
Rachana Jaiswal, Shashank Gupta and Aviral Kumar Tiwari
Amidst the turbulent tides of geopolitical uncertainty and pandemic-induced economic disruptions, the information technology industry grapples with alarming attrition and…
Abstract
Purpose
Amidst the turbulent tides of geopolitical uncertainty and pandemic-induced economic disruptions, the information technology industry grapples with alarming attrition and aggravating talent gaps, spurring a surge in demand for specialized digital proficiencies. Leveraging this imperative, firms seek to attract and retain top-tier talent through generous compensation packages. This study introduces a holistic, integrated theoretical framework integrating machine learning models to develop a compensation model, interrogating the multifaceted factors that shape pay determination.
Design/methodology/approach
Drawing upon a stratified sample of 2488 observations, this study determines whether compensation can be accurately predicted via constructs derived from the integrated theoretical framework, employing various cutting-edge machine learning models. This study culminates in discovering a random forest model, exhibiting 99.6% accuracy and 0.08° mean absolute error, following a series of comprehensive robustness checks.
Findings
The empirical findings of this study have revealed critical determinants of compensation, including but not limited to experience level, educational background, and specialized skill-set. The research also elucidates that gender does not play a role in pay disparity, while company size and type hold no consequential sway over individual compensation determination.
Practical implications
The research underscores the importance of equitable compensation to foster technological innovation and encourage the retention of top talent, emphasizing the significance of human capital. Furthermore, the model presented in this study empowers individuals to negotiate their compensation more effectively and supports enterprises in crafting targeted compensation strategies, thereby facilitating sustainable economic growth and helping to attain various Sustainable Development Goals.
Originality/value
The cardinal contribution of this research lies in the inception of an inclusive theoretical framework that persuasively explicates the intricacies of a machine learning-driven remuneration model, ennobled by the synthesis of diverse management theories to capture the complexity of compensation determination. However, the generalizability of the findings to other sectors is constrained as this study is exclusively limited to the IT sector.
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Shani Pindek and Paul E. Spector
Contextual factors play a vital role in employee mistreatment. This chapter deals with the definition and scope of contextual factors, including a distinction between the…
Abstract
Contextual factors play a vital role in employee mistreatment. This chapter deals with the definition and scope of contextual factors, including a distinction between the objective environment and its idiosyncratic perception by employees. Several mechanisms are offered to explain the effects of context on mistreatment, including the stressor–strain framework, interaction with personal characteristics, and also mistreatment acting as a stressor. The framework suggested in this chapter uses levels of analysis, and proposes that the objective environment (group level variables) is perceived at the individual level, which consequently leads to both perpetrated and received mistreatment. Those same objective environment variables also have a direct effect on mistreatment, as well as a moderating role in the relationship between individually perceived context and mistreatment. Furthermore, there is some evidence that mistreatment acts as a contextual variable in and of itself, with perpetrators, victims, and bystanders perceiving mistreatment in their workplace and reporting higher levels of stressors and strains. Finally, we outline the need for more longitudinal, multi-level studies to clearly discern the role of context in employee mistreatment.
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Stephanie A. Andel, Derek M. Hutchinson and Paul E. Spector
The modern workplace contains many physical and interpersonal hazards to employee physical and psychological health/well-being. This chapter integrates the literatures on…
Abstract
The modern workplace contains many physical and interpersonal hazards to employee physical and psychological health/well-being. This chapter integrates the literatures on occupational safety (i.e., accidents and injuries) and mistreatment (physical violence and psychological abuse). A model is provided linking environmental (climate and leadership), individual differences (demographics and personality), motivation, behavior, and outcomes. It notes that some of the same variables have been linked to both safety and mistreatment, such as safety climate, mistreatment climate, conscientiousness, and emotional stability.
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Lori Anderson Snyder, Peter Y. Chen, Paula L. Grubb, Rashaun K. Roberts, Steven L. Sauter and Naomi G. Swanson
This chapter examines aggression at work perpetrated by individual insiders by bringing together streams of research that have often been examined separately. A comparison of the…
Abstract
This chapter examines aggression at work perpetrated by individual insiders by bringing together streams of research that have often been examined separately. A comparison of the similarities and differences of aggression toward individuals, such as verbal abuse or physical attack, and aggression toward organizations, such as embezzlement or work slowdowns, is shown to provide important insights about the causes and consequences of workplace aggression. We propose a comprehensive model based on the integration of prior theoretical treatments and empirical findings. The model attempts to offer a framework to systematically examine psychological and organizational mechanisms underlying workplace aggression, and to explain the reasons why workplace violence policies and procedures sometimes fail. A set of research propositions is also suggested to assist in achieving this end in future research.