Search results

The purpose of this study was to better understand the state of the healthcare facility management (FM) workforce and trends and how it compares to the nonhealthcare industries.

A survey was developed, based on relevant literature, regarding respondents’ gender, race, age, educational attainment and job tenure. The survey was sent electronically via Qualtrics^® system in February 2021 to members of the International Facility Management Association membership; 3,557 individuals completed the survey by April 2021, for a 29% response rate. Only data from 1,407 US respondents working in facility operations were included in this study. Of the 1,407 respondents included in this study, 89 worked in the healthcare industry. The majority of respondents not working in healthcare industry (1,318) were employed in government, education or banking and investment.

The demographics of facility managers in the healthcare industry are similar to the demographics of facility managers in other industries: the majority of the FM workforce is male, middle-aged, white, college educated and employed in-house. While healthcare and nonhealthcare facility managers have similar responsibilities across job levels, compensation for entry-level FM roles in the healthcare industry is significantly lower than for entry-level FM roles in other industries. This low pay in healthcare FM, compared to other industries, may exacerbate ongoing challenges related to talent recruitment and retention and justify pay banding increases to improve attraction of top talent into healthcare FM. Both healthcare and nonhealthcare industries hire new college graduates for entry-level FM jobs, but the healthcare industry is more likely to hire individuals who majored in liberal arts compared to other industries more likely to hire individuals who majored in subjects related to the built environment such as FM and engineering. To compensate for low entry-level pay, healthcare organizations may be focusing recruitment efforts on liberal arts students who have little to no training in the built environment because they have lower pay expectations. Older healthcare facility professionals also have shorter job tenures with their current employers than do older facility professionals in other industries; this trend appears to be recent and not be related to pay or the COVID-19 pandemic. A surge of senior-level FM retirements may be creating advancement opportunities for older entry- and mid-level FM personnel in healthcare; if this situation is a factor, research should be conducted to understand its implications for recruiting and developing healthcare FM talent.

Only data from US respondents who were working in healthcare facility operations at the time of the study were included in the data analysis.

Healthcare organizations can use the study’s findings to help address FM workforce challenges unique to their industry staff recruitment, retention and succession planning.

This article aims to understand the role of intermediaries that manage innovation challenges in the healthcare scenario. More specifically, it explores the role of digital platforms in addressing data challenges and fostering data-driven innovation in the health sector.

For exploring the role of platforms, the authors propose a theoretical model based on the platform’s dynamic capabilities, assuming that, because of their set of capabilities, platforms may trigger innovation practices in actor interactions. To corroborate the theoretical framework, the authors present a detailed in-depth case study analysis of Apheris, an innovative data-driven digital platform operating in the healthcare scenario.

The paper finds that the innovative data-driven digital platform can be used to revolutionize established practices in the health sector (a) accelerating research and innovation; (b) overcoming challenges related to healthcare data. The case study demonstrates how data and intellectual property sharing can be privacy-compliant and enable new capabilities.

The paper attempts to fill the gap between the use of the data-driven digital platform and the critical innovation practices in the healthcare industry.

By following the “employee-centric” approach, this study aims at identifying the impact of high-performance work systems (HPWS) on specific employee attitudinal outcomes such as work engagement, job satisfaction and affective commitment in the Indian healthcare industry.

The target population for this study includes the nurses working in large private multi-specialty tertiary care hospitals in India. Partial Least Squares Structural Equation Modelling (PLS-SEM) techniques are used on a sample of 152 nurses working in two large specialty hospitals.

In the Indian healthcare industry context, the nurse's perception of HPWS has shown a significant positive effect on their attitudinal variables such as work engagement, job satisfaction and affective commitment. When checked for mediation of work engagement and job satisfaction variables in HPWS – affective commitment relationship, nurse's job satisfaction partially mediated the relationship, but nurse's work engagement has shown no mediation effect.

This is one of the pioneering studies conducted in the Indian healthcare industry context, especially on the nurse's sample in identifying the impact of high-performance work systems on their attitudinal outcomes. Underscoring the paucity of HPWS research in the Indian healthcare industry, this study's findings will be an addition to the HPWS literature and also to the nursing research in the Indian healthcare settings.

This study seeks to understand the nexus between intellectual capital and profitability of healthcare firms in India with interaction effects.

Relevant data were extracted from the Centre for Monitoring Indian Economy (CMIE)'s Prowess database for a period of ten years 2009–2018 for a sample of 84 selected firms from the healthcare industry. This study uses value added intellectual coefficient (VAIC) and modified value added intellectual coefficient (MVAIC) as a measure of intellectual capital. Further, the study employs panel regression techniques to explore the relationship between intellectual capital and profitability.

The empirical findings reveal that the intellectual capital coefficient of healthcare firms in India averages 2.7757. It is also observed that a majority of the healthcare firms' intellectual capital coefficient is below the industry average. From the regression analysis, it is evident that the intellectual capital coefficient is positively related to the profitability of healthcare firms in India. As far as the components of intellectual capital coefficient are concerned, the capital employed coefficient (CEC) is the only component driving the profitability of healthcare firms in India. A further introduction of interaction terms improves model explainability and moderates the impact of the predictor variable on the response variable. Furthermore, it is observed that the intellectual capital coefficient of the healthcare industry is immune to changes in political regimes in India.

The findings reveal that intellectual capital is an important driver of corporate performance, thus healthcare firms in developing economies like India need to enhance their intellectual potential. Therefore, corporates and governments in developing economies should stimulate investments in developing intellectual capital for enhanced corporate performance and economic growth. Thus, this study might be used as a reference by policymakers while drafting the future policy for the development of intellectual capital in general and healthcare sector specifically.

This is among the first few studies to explore such an empirical relationship for healthcare firms in India and among the few studies of this kind across the globe. It also makes novel contributions in considering interaction variables and seeking the consistency of results across different political regimes. However, the study examines one nation and one industry; thus, the generalisation of findings requires caution.

The purpose of this paper is to review the historical development of quality assessment methods in manufacturing industry and healthcare. It examines the gap between methods across the two sectors, as well as the extent to which industrial techniques have been successfully adopted in healthcare. Finally, a proposal for a new approach is presented.

Firstly, a review of the evolution of quality assessment was conducted, based on books written by prominent experts in the field. Secondly, a study of the current approaches in healthcare was undertaken. Publications from varied sources, including worldwide operations research and healthcare sources were selected according to criteria and reviewed.

While, the concept of quality has a long history, quality management in healthcare is not as advanced as in industry. There are a number of reasons for this, such as differences in concerns and processes across the two sectors. Further, quality researchers have differing views towards the best approaches. It was deduced that the way forward in healthcare quality is the enhancement of staff ownership and pride in a way akin to the era of the craftsmen, but with the use of new technology.

The findings provide a picture of how far quality management has advanced in industry and healthcare. There is a note of caution for the use of industrial techniques in healthcare, which may provide useful direction for further research and implementation.

This work uniquely examines the origins of the concern for quality, and follows the changes in demand and supply in industry and healthcare. It argues that understanding this historical review, and the nature of processes across both areas, is key to the future of healthcare quality. Finally, a new approach based on discrete event simulation is proposed.

The purpose of this paper is to analyze the market for audit services for publicly traded companies operating in the US for-profit (FP) healthcare sector. Complex national and local healthcare laws and regulations suggest the importance of assessing fee effects of joint nationallevel and city-specific expertise among auditors. Using cross-sectional OLS regression analysis, we find that joint expertise significantly affects audit pricing in the healthcare sector. We find a fee premium of 33.6 percent on engagements where auditors are both national and city-specific specialists. We also find that Big-4 auditor reputation is significantly priced over and above the effects of joint auditor expertise, and a significant positive association exists between audit and non-audit service fees-indicating the presence of knowledge spillover effects among healthcare company auditors.

Value creation based on artificial intelligence (AI) can significantly change global healthcare. Diagnostics, therapy and drug discovery start-ups are some key forces behind this change. This article aims to study the process of start-ups' value creation within healthcare.

A multiple case study method and a business model design approach were used to study nine European start-ups developing AI healthcare solutions. Obtained information was performed using within and cross-case analysis.

Three unique design elements were established, with 16 unique frames and three unifying design themes based on business models for AI healthcare start-ups.

Our in-depth framework focuses on the features of AI start-up business models in the healthcare industry. We contribute to the business model and business model innovation by systematically analyzing value creation, how it is delivered to customers, and communication with market participants, as well as design themes that combine start-ups and categorize them by specialization.

Since the field of healthcare was a latecomer to the quality movement, knowledge transfer has generally flowed in one direction, from industry to healthcare. However, organisations can also be enriched by healthcare. In particular, this paper aims to show industry that important lessons can be learned regarding how teamwork is generally managed within healthcare.

To identify the useful lessons that healthcare can teach industry, the authors started with a brainstorming session among the members of the research team to pin‐point the lessons based on their experience with healthcare and industrial environments. Afterwards, an exhaustive review of the relevant literature from the last ten years was carried out.

Industrial organisations need to develop teamwork frameworks focused on involving every employee in cross‐disciplinary, empowered and trained teams. Moreover, from a team perspective, special care must be shown when defining clear roles, focusing on end clients, formulating shared objectives and facilitating internal communications.

The ten lessons from healthcare teamwork best practices believed to be the most important are given in the paper. Although some of these lessons may not be completely new concepts for industrial organisations, the paper shows how healthcare develops, spreads and applies these concepts in the real world.

The paper summarises, in ten useful lessons for organisations, healthcare's best teamwork practices in the literature.

Lean concept is implemented in healthcare organizations, as it deals with improvement processes so that best services may be provided to the patients and competitive advantage may be achieved. The purpose of this paper is to evaluate the important factors which influence implementation of lean principles in the healthcare industry.

The factors influencing lean implementation in the healthcare industry have been determined through literature review and results of a survey where questionnaires were distributed among 325 healthcare professionals. Fuzzy Interpretive Structural Modeling (FISM) approach has been used to analyze the interrelationships among these factors. A FISM model has been developed to extract the key factors influencing lean implementation.

Results of the survey and model show that lean leadership, professional organizational culture and teamwork and interdepartmental cooperation are the top level factors. Clarity of organizational vision, communication of goals and results, follow up and evaluations are the factors with strong driving as well as strong dependence power. Even a slight action taken on these factors will have a significant impact on other factors.

The healthcare professionals and managers can acquire information from the drive power dependence matrix so that they can thoroughly understand the relative importance, interdependencies and relationships among these factors. The model will help in determining the hierarchy of various actions and activities which may be taken by the management for managing the factors that remarkably affect the lean management in hospitals.

In this paper, only 15 variables appropriate for the Indian healthcare industry have been identified. The model developed in the present research has not been validated statistically which can be done by structural equation modeling (SEM).

Though there are various studies which depict that lean principles have been implemented successfully in various industries, there are few studies specifying the application of lean principles in healthcare sector in India. This paper is an attempt to identify various factors which are important for application of Lean concept in the healthcare sector.

The purpose of this paper is to examine the causal linkages among supply chain practices, effectiveness of supply chain performance (SCP) and organizational performance (OP) in Indian healthcare industries.

This paper is helpful in developing a framework for linking a healthcare supply chain practice to its OP, and thus identifies how such a linkage can be connected to the effectiveness of SCP. Such effort also enables the authors to derive a set of recommended supply chain practices for SC performance.

From the literature review, this paper finds that, in the context of Indian healthcare industries, efficient SC performance may play a critical role for overall OP improvement, as there is a close interrelationship between supply chain management (SCM) practices and SCP that may have a more significant effect on OP improvement.

The principle limitation of the paper is that it is performed only in a particular industry and with a questionnaire survey which could be extended in future for other industries also. Another limitation of the paper is that it is focused only on the SCP of medical device and equipment supply chain which is a small portion of the whole healthcare supply chain, and therefore requires further research covering various other domains of healthcare supply chain. Another limitation of the study is that the sample survey has been taken from only one respondent per company at one point of time which may create biasness in the results. Thus, future research should collect data through multiple members from the organization.

This study contributes to know the effect of SCM practices on healthcare SCP and provides a practical and useful tool to evaluate the extent of effectiveness of SCP and finally their impact on the healthcare OP. Finally, this study provides conceptual and descriptive literature regarding SCM practices that leads to improvement in healthcare performance.

This study adds to the knowledge on healthcare SCM performance by exploring the relationship between supply chain practices, healthcare SCP and healthcare OP and by developing and testing a research framework thus help in improving patient satisfaction.

This study attempts to show how the potential benefits of supply chain practices can no longer be ignored in healthcare supply chain.