DaVita, Inc., a Fortune 200 health-care company has recently undertaken a Human Resource (HR) transformation. Today, good HR departments can help people and businesses grow…
Abstract
Purpose
DaVita, Inc., a Fortune 200 health-care company has recently undertaken a Human Resource (HR) transformation. Today, good HR departments can help people and businesses grow. However, many HR departments are stuck in the past and see their role as “personnel” responsible mainly for hiring, firing, attendance and payroll. This is an antiquated perspective of what an HR function does.
Design/methodology/approach
This case study based on DaVita’s HR team illustrates how people services drive business objectives in part through aligning with operators across the business, ensuring a robust talent and leadership pipeline and differentiated workforce experience. This was done through developing a people strategy and governance model grounded in the business strategy.
Findings
This case study concludes that any HR transformation must include the language of the business, including strategic financial and operational topics and proposals that effectively operationalize and measure people practices to engage workforces and grow businesses. This transformation was grounded in changing the conversation about HR, allowing people services to better serve and address the complex organizational and workforce dynamics that exists today, thus helping organizations win and grow.
Originality/value
DaVita is evolving the role of HR to be a critical part of the business that drives results through alignment with operators across the organization.
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Jeffrey S. Winter, Sherri Bressman and Efrat Sara Efron
The purpose of this paper is to describe an innovative model of mentoring that evolved over the past ten years as a result of experience, research and self-study. This research…
Abstract
Purpose
The purpose of this paper is to describe an innovative model of mentoring that evolved over the past ten years as a result of experience, research and self-study. This research, conducted in Orthodox Jewish day schools will raise awareness of potential benefits of mentoring as an effective means for supporting Q1 teachers’ classroom effectiveness and sense of well-being. Background research is presented on mentoring as a powerful tool in supporting teachers throughout their careers. An original aspect of this paper is the analysis of exemplary cross-cultural mentoring intentional training, ongoing support and solicitation of feedback. Findings are based on samples from data collected over several years and are analyzed using qualitative tools. The authors discuss implications from two published self-studies of an exemplary mentoring model in which mentors worked with teachers and explore considerations for teacher well-being.
Design/methodology/approach
A qualitative–narrative approach was chosen for these studies. The findings were drawn from three sources of data: open-ended questionnaires, end-of-year letters teachers wrote to their principals reporting on changes in their classroom practices and in-depth, semi-structured interviews conducted with teachers, mentors and administrators in each of the schools participating in the program.
Findings
The two self-studies, in tandem with the teachers’ surveys and reflections, illustrate how the teachers viewed the connection between the mentoring they received and their own professional growth. Overall, teachers reported a general satisfaction as a result of participating in the mentoring program. Many noted that the program provided a useful framework offering a personalized approach to their professional development. The teachers were directed to frame their own learning agendas by setting their own instructional improvement goals and asking meaningful questions relevant to their particular classroom situations.
Research limitations/implications
Limited sample size and private religious school environment might put limits on implications.
Practical implications
The presented model has universal implications. A personalized mentoring model, with supplementary professional development sessions geared toward topics supporting well-being, can be applied in any educational setting. Schools leaders must find ways to foster teacher satisfaction and keep teachers engaged in their own learning. Offering teachers a personalized approach that supports continued growth while encouraging them to set their own learning agendas can serve as a vital bridge to teacher satisfaction and well-being.
Social implications
The findings of this paper have implications for school improvement, cross-cultural mentoring, mentor training and teacher well-being.
Originality/value
Original aspects of this paper include: the self-study of exemplary mentoring program, application of mentoring in cross-cultural environments, teacher well-being in private schools and mentoring of teachers in Orthodox Jewish schools.
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David C. Wheelock and Paul W. Wilso
This paper investigates how well regulator examinations predict bank failures and how best to incorporate examination information into an econometric model of time‐to‐failure. We…
Abstract
This paper investigates how well regulator examinations predict bank failures and how best to incorporate examination information into an econometric model of time‐to‐failure. We estimate proportional hazard models with time‐varying covariates and find that examiner ratings help explain the failure hazard. Both the overall rating of a bank's condition and management, i.e., the composite CAMELS rating, and ratings of specific components contain information. In addition, we find that the marginal “effect” of ratings is non‐linear, in that the impact of a rating downgrade on the hazard is larger, the weaker a bank's initial rating.
Future developments in methodology have the potential to improve management research and better couple it to management practice. These developments are on six fronts: (1…
Abstract
Future developments in methodology have the potential to improve management research and better couple it to management practice. These developments are on six fronts: (1) computer technology, (2) data capture and experimentation, (3) privacy, confidentiality, and data access, (4) causation, (5) modeling and simulation, and (6) Bayesian statistics. The potential of each is explored, and problems, both technical and administrative, in fulfilling this potential are identified. On the computer and communications front, the key elements are the use of relational database management systems, increased computing power for analysis purposes, and computer networking. On the privacy, confidentiality, and data access front, the key elements are new capabilities for data capture through real‐time surveillance, inferential disclosure threats in computer databases, the demand for more access to detailed data, and public concerns for privacy invasion. Management research is a search for causal mechanisms that can be investigated through empirical studies and that facilitate control of complex processes. In the modeling area, there will be (1) greater use of computing power, (2) less use of model‐independent statistical hypothesis testing, and (3) easier to use computer software for modeling and simulation. The Bayesian perspective of consistently expressing uncertainty through probability distributions will become more widely used in management research.
Tim Kindseth and Michael Romanos
This annotated list represents a selection of outstanding poetry titles published in the USA in 2003 and the early part of 2004.
Abstract
Purpose
This annotated list represents a selection of outstanding poetry titles published in the USA in 2003 and the early part of 2004.
Design/methodology/approach
The authors selected the titles in this list from the 2,100 titles received for the 2004 Poetry Publications Showcase at Poets House in New York City, held in April 2004.
Findings
The authors selected titles for this list that would be both accessible and challenging to library users.
Originality/value
This list can be used as a guide to collection development for contemporary poetry.
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M. Kabir Hassan, Jennifer Brodmann, Blake Rayfield and Makeen Huda
The purpose of this paper is to investigate proprietary data from customers of a Southern Louisiana credit union. It analyzes the factors that contribute to an accelerated failure…
Abstract
Purpose
The purpose of this paper is to investigate proprietary data from customers of a Southern Louisiana credit union. It analyzes the factors that contribute to an accelerated failure time (AFT) using information from customers’ credit applications as well as information provided in their credit report.
Design/methodology/approach
This paper investigates the factors that affect credit risk using survival analysis by employing two primary models – the AFT model and the Cox proportional hazard (PH) model. While several studies employ the Cox PH model, few use the AFT model. However, this paper concludes that the AFT model has superior predictive qualities.
Findings
This paper finds that the factors specific to borrowers and local factors play an important role in the duration of a loan.
Practical implications
This paper offers an easily interpretable model for determining the duration of a potential borrower. The marketing department of credit unions can then use this information to predict when a customer will default, thus allowing the credit union to intervene in a timely manner to prevent defaults. Further, the credit union can use this information to seek out customers who are less likely to default.
Originality/value
This study is different from the previous research due to its focus on credit unions, which have distinct characteristics. Compared to similar lending institutions, the charter of the credit union does not allow management to sell off loans to other investors.
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According to Marx, capitalism leads to the alienation of people from their work, from the product of their work, and from other people (Oilman, 1976:133–4). These characteristics…
Abstract
According to Marx, capitalism leads to the alienation of people from their work, from the product of their work, and from other people (Oilman, 1976:133–4). These characteristics of capitalism were obvious for all to see in the late nineteenth century, as capital and labor were increasingly polarized. But in the late twentieth century, class relations have become considerably more complicated. The emergence and growth of various forms of “middle class” (Walker, 1979; Wright, 1985) make the issue of who is exploiting whom, of who benefits from the alienation of workers, unclear. In turn, the confusion in class relations has an effect on the ability to wage class struggle, as the “enemy” of the working class is difficult to define, let alone target.
Samuel Fosso Wamba and Shahriar Akter
Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify…
Abstract
Purpose
Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator.
Design/methodology/approach
The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model.
Findings
The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented.
Originality/value
The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.
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Deja Bailey and Matthew J. Etchells
Twenty-first century education has been reconfigured to keep up with growing societal shifts in an effort to support a wide variety of learners. As changes occur, the workload for…
Abstract
Twenty-first century education has been reconfigured to keep up with growing societal shifts in an effort to support a wide variety of learners. As changes occur, the workload for teachers continues to expand with little to no support and resources within classroom spaces to keep up with the current times. Post pandemic, the expectations and systems have shifted emphasizing the need for more programming around social emotional learning and systems to help mitigate the learning disruption. The insurmountable pressure placed on teachers has led to a robust and persistent departure of the profession causing the entire education system to rethink the policies, structures, and systems that influence teacher burnout.