
Aravind Chandrasekaran- PhD
- Professor (Full) at The Ohio State University
Aravind Chandrasekaran
- PhD
- Professor (Full) at The Ohio State University
About
70
Publications
21,642
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2,063
Citations
Introduction
Dr. Aravind Chandrasekaran is a Professor in Management Sciences at the Fisher College of Business, The Ohio State University. Dr. Chandrasekaran’s research investigates innovation, learning and knowledge creation issues in a variety of areas including high-tech R&D, manufacturing and health-care delivery. In recent years, he has begun to study the challenges involved in developing patient-centric healthcare delivery models.
Current institution
Additional affiliations
July 2009 - present
August 2009 - July 2020
Publications
Publications (70)
We Study idea generation by healtcare frontline personnel, that is, innovation by employees whose main job is operational rather than innovatve.
This book began with a description of an ethical dilemma: whether an issuer of subprime credit cards should cut in half the credit limits of customers who use their card to pay for marital counseling. This Conclusion illustrates how an organization could use the data ethics management strategies described in the prior chapters to arrive at a respon...
This chapter leverages findings from both our semi-structured interviews and original survey to discuss the types of risks central to how data ethics managers and their advisors think about advanced analytics and AI. Both survey respondents and interview participants highlighted a broad range of concerns raised by their use of advanced analytics ra...
This chapter describes instances in which companies intentionally use advanced analytics and AI to serve the social good without any direct benefit to their own bottom lines. Broadly speaking, we found two types of “social good” projects. Some employed approaches to learn about, and inform individuals of, risks or opportunities to improve their liv...
This chapter discusses the benchmarks and standards companies use to distinguish between ethical and unethical uses of advanced analytics and AI. In recent years scholars, governmental bodies, multi-stakeholder groups, industry think tanks, and even individual companies have issued model sets of data ethics and AI ethics principles. These model pri...
This chapter discusses the organizational challenges that businesses face when they pursue data ethics management and the development, in response to these challenges, of new organizational roles and structures to manage data ethics. The nature of data ethics management requires organizations to move away from traditional compliance or quality cont...
Management processes are essential to an organization’s ability to spot and address ethical issues. In this chapter we investigate the types of processes used by organizations to manage ethical risks related to their use of advanced analytics and AI. We find that it is typical for organizations to develop processes for spotting ethical issues, esca...
The law, including privacy law, lags the rapid development of advanced analytics and AI. As a result, compliance with the law is not sufficient to protect individuals or society from the threats that corporate use of these technologies can create. To protect people against these risks, and so to safeguard their own reputations and live by their val...
This chapter outlines our approach to investigating how corporations manage the threats and risks that their use of advanced analytics can create. Specifically, we deploy a mixed method research design combining insights from semi-structured interviews and an original survey of business data ethics managers as well as the attorneys, consultants, an...
This chapter examines the reasons that companies go beyond compliance to engage in data ethics management. Our research suggests that a range of different pressures and incentives may encourage companies to adopt data ethics policies. These include issues of corporate and industry reputation (particularly in the wake of scandals), emerging or loomi...
This chapter reviews the technological solutions that organizations leverage to ensure the ethical management and downstream use of collected data for building analytic and AI models. Survey respondents discussed solutions that ranged from privacy preserving data management strategies such as differential privacy, to the use of virtualization and d...
The benefits of additive manufacturing (AM) extend beyond the attributes of physical products and production processes they enable. Experience with AM can augment the way design is approached and can increase opportunities to pivot toward less familiar design tasks. We begin this qualitative study with a natural experiment made possible by an exoge...
Problem definition: This study explores the performance implications of collaboration structures in an integrated healthcare delivery system, namely, an accountable care organization (ACO). ACOs consist of providers from various stages of the care continuum (preacute, acute, and postacute) that voluntarily assume collective responsibility for the q...
We investigate how patients can co-create value when transitioning care between the hospital and home after a major life altering surgery such as kidney transplant. Collaborating with health care providers at a large U.S. hospital, we adopted an intervention-based research approach to develop a standardized peer-mentoring program where former patie...
The unprecedented availability of data, along with the growing variety of software packages to visualize it, presents both opportunities and challenges for operations management (OM) research. OM researchers typically use data to describe conditions, predict phenomena, or make prescriptions depending on whether they are building, testing, or transl...
This study investigates diagnostic testing and pharmacy expenditures, commonly referred to as ancillary costs in the United States acute‐care hospitals. These ancillary costs are charges associated with services provided to support patient treatment, including laboratory, radiology, and pharmacy charges. Despite of investment in inter‐organizationa...
Background:
Leaders play a crucial role in implementing and sustaining changes in clinical practice, yet there is limited evidence on the strategies to engage them in team problem solving and communication.
Objective:
Examine the impact of an intervention focused on facilitating leadership during daily huddles on optimizing team-based care and i...
This research develops a methodology for making process improvements that can sustain over time. Working with caregivers at a large U.S. hospital over 3 years, we redesign a process for educating kidney transplant patients with instructions for post‐surgical care. Adopting an intervention‐based research (IBR) framework and based on our actions to o...
Product development networks facilitate access to information, knowledge, and technologies that are otherwise difficult to obtain during innovation activities. Most current research on networks focuses on studying product performance benefits, but ignores the potential negative effects on confidentiality performance. Addressing this gap, we investi...
The unprecedented availability of data along with the growing variety of software packages to visualize it presents both opportunities and challenges for operations management (OM) research. OM researchers typically use data to either describe conditions, predict phenomena or make prescriptions depending on whether they are building, testing or tra...
Learning by doing is a fundamental driver of productivity among knowledge workers. As workers accumulate experience working on certain types of tasks (i.e., they become specialized), they also develop proficiency in executing these tasks. However, previous research suggests that organizations may struggle to leverage the knowledge workers accrue th...
This research examines the performance benefits of the Office of Patient Experience (OPX), a new administrative innovation in the healthcare industry. OPX is an independent structure within a hospital, having its own annual budget and full‐time staff, and is responsible for improving patient experience during the hospital stay. We specifically inve...
Manufacturing firms in emerging economies face research and development (R&D) challenges that are quite different from firms in developed economies. Firms in emerging economies complement their internal R&D capabilities by accessing two forms of external knowledge: domestic knowledge from local partners and foreign knowledge from multinationals. Ac...
Progression of knowledge in operations management (OM) relies on researchers building and testing theories using data from practice. However, standalone empirical research designs have inherent limitations and may not adequately capture complex OM problems. This may result in researchers narrowing the scope of the problems that they create epistemo...
Background:
Team-based care has been identified as a key component in transforming primary care. An important factor in implementing team-based care is the requirement for teams to have daily huddles. During huddles, the care team, comprising physicians, nurses, and administrative staff, come together to discuss their daily schedules, track proble...
Distributed product development projects encompass product and process development activities that span organizational and country boundaries. The increasing trend toward globalizing projects requires firms to coordinate development efforts made by team members from various functions within the firm, speaking multiple languages, and working in vari...
The new Design Science department at the Journal of Operations Management invites submissions using a design science research strategy for operations management (OM) issues. The objective of this strategy is to develop knowledge that can be used in a direct and specific way to design and implement actions, processes or systems aimed at achieving de...
Background:
A total of 17,000 patients receive kidney transplants each year in the United States. The 30-day readmission rate for kidney transplant recipients is over 30%. Our research focuses on the relationship between the quality of care delivered during the patient's hospital stay for a kidney transplant, and the patient health outcomes and re...
We investigate service delivery in one specific type of professional service firms (PSF), namely hospitals. A distinctive operational feature of this setting is that the delivery of health care services requires continuous collaboration between two professional workforces: physicians and nurses. We conducted a multiple-case study at five acute care...
Health spas, stone fireplaces, and five-star restaurant chefs are amenities typically associated with luxury hotel brands such as The Ritz-Carlton and Four Seasons. They are increasingly found in U.S. hospitals eager to improve their patient-experience scores that now affect Medicare reimbursements. While investing in such material assets is easily...
Hospitals are characterized by high levels of technical expertise as well as patient interactions. In an
attempt to improve their performance along these dimensions, hospitals are making significant
investments in health information technologies (HIT). However, the performance benefits from these
investments are largely unknown. This study employs...
To investigate the opportunity for hospitals to achieve better care at lower cost, we examine two key process
quality measures – conformance quality and experiential quality – and two measures of performance –
readmission rate and cost per discharge. Conformance quality represents hospital’s level of adherence to
evidence-based standards of care, w...
High-tech organizations maintain a portfolio of R&D projects that address problems with different levels of complexity. These projects use different strategies to search for technological solutions. Projects refining existing products, processes and technologies, for instance, employ a local search strategy to improve performance, while projects de...
Recent changes to health care reimbursements policy mandate hospitals to improve simultaneously on conformance and experiential quality. Conformance quality measures the level of caregivers’ adherence to evidence-based standards of care while experiential quality measures the level of interaction between caregivers and patients. Hospitals operate i...
Knowledge intensive firms have long relied on their employees work experience as a driver of their competitiveness. Research shows that individual’s work experience is critical for the development of knowledge and skills and can affect their task execution performance. However, our knowledge on how other sources of experiences beyond that of indivi...
R&D projects in high-tech organizations bring together diverse knowledge domains to quickly develop new products and processes. The fast-paced context of high-tech organizations makes it challenging to create new knowledge and solve complex problems. Managing these R&D projects requires understanding both the mechanisms and the type of knowledge cr...
How can firms design collaboration structures for effective performance in R&D projects that involve multiple partners? To address this question, we examine the theoretical underpinnings of collaboration structures in multi-partner R&D projects—i.e., the scale and the scope of partnering efforts. Partnering scale captures the extent of resource int...
High-tech organizations often struggle to manage different types of R&D projects. Evidence from research and practice suggests that managers frequently categorize and manage projects based on the extent of change triggered in product, process, technology and market dimensions. However, this can create challenges in high-tech organizations. This stu...
Hospitals are characterized by high levels of technical expertise as well as patient interactions. In an attempt to improve their performance along these dimensions, hospitals are making significant investments in health information technologies (HIT). However, the performance benefits from these investments are largely unknown. This study employs...
The practice of configuring products to individual customer orders has found application in a variety of industry contexts, but little is known about the specific capabilities that firms develop to successfully compete when offering configurable products. Our research begins to fill this gap in the context of industrial equipment manufacturing. Dra...
The professional service industry encompasses a major part of the U.S. economy and yet, several factors that affect its financial sustainability remain largely unknown. When catering to their customers, professional service providers have to combine conformance quality – adherence to strict technical standards, with experiential quality – ability t...
The quality of operational processes is an important driver of performance in hospitals. In particular,
processes that reliably deliver both evidence-based and patient-centered care, which we call conformance
and experiential quality, respectively, have been argued to result in better clinical outcomes. However,
hospitals, in general, struggle to p...
H igh technology organizations need to develop new products or processes that address the dual goals of exploration and exploitation. The competing viewpoints and the asymmetric nature of market returns associated with these goals in R&D projects can heighten stress levels among project team members and reduce their psychological safety. While curr...
High technology organizations need to develop new products or processes that address the dual goals of exploration and exploitation. The competing viewpoints and the asymmetric nature of market returns associated with these goals in R&D projects can heighten stress levels among project team members and reduce their psychological safety. While curre...
This research investigates the effect of process management on clinical and experiential quality. Clinical quality measures hospitals' performance on patient safety, i.e., adherence to standards, whereas experiential quality relates to patient centeredness, i.e., responsiveness to the needs and preferences of the patient. Drawing from the organizat...
High tech organizations confront dual demands of exploring new products/processes and exploiting existing products/processes. Research shows that ambidextrous organizations can better manage these dual demands, but our understanding of the antecedents that lead to ambidexterity is still emerging. In addition, previous research has taken a piecemeal...
The Burton Group of Hospitals had been performing poorly in their patient satisfaction scores. The poor performance was due to excessive waiting experienced by patients and redundant hospital operations. In this case we describe a simplified sequence of steps for processing and wait times encountered by patients with a simple fracture for treatment...
We examine the effect of Hospital and State Leadership on the public reporting of healthcare quality measures by U.S. hospitals and its impact on the Science (technical aspect) and Art of Care (interpersonal aspect) delivered in these hospitals. We use both primary and secondary data collected at different time intervals to investigate these relati...
This research investigates the antecedents and performance implications of CMS Process Management initiatives in U.S. hospitals. We combine primary data from over 270 hospitals across 43 states with lagged secondary data to evaluate (i) the effect of hospital and state leadership on CMS Process Management implementation and (ii) its impact on both...
A number of studies have investigated the quality of journals in Operations Management. This research steps back from these studies and investigates the exchange of ideas within Operations Management journals and between other management disciplines (Management, Marketing, and Finance) during the last decade (1998–2007). Journal citation metrics pr...
Limited battery power for wireless devices demands improvement in power efficiency while enhancing system performance. Traditional semiconductor scaling faces challenges to meet this requirement. D integration of multiple chips using through silicon via (TSV) is one of the technologies that can extend the performance scaling trend. However, the sem...
Combining Lean practices with Six Sigma has gained immense popularity in recent years. Whether a combined Lean-Six Sigma approach is the latest management fad, or leads to significant performance benefits that exceed isolated implementation is not yet apparent. Using implementation and performance data from a sample of 2511 plants, the research stu...
Organizations functioning in fast paced environments are confronted with the dual demands of innovation and improvement. Sustaining a competitive advantage requires balancing these two imperatives. Using a grounded theory building approach through multiple case studies, this research investigates the balancing capability at different levels of the...