Kaushik Lahiri, Buddhike Sri Harsha Indrasena and Jill Aylott
National Health Service (NHS) Emergency Department (ED) attendances are at the second highest level ever recorded, (RCEM, 2021a) and as they soar, performance plummets, putting…
Abstract
Purpose
National Health Service (NHS) Emergency Department (ED) attendances are at the second highest level ever recorded, (RCEM, 2021a) and as they soar, performance plummets, putting patient safety at risk (RCEM, 2021b). Managing patient flow in the ED is critical to reduce patient safety incidents and crowding, however, this needs effective leadership (Jensen and Crane, 2014). This paper aims to introduce an innovative form of managing patient flow in ED, which is a two hourly “Board Rounds”, providing a managed process to pull patients through the system meeting pre-determined time critical standards and preventing patient harm. Board Rounds combined with effective leadership can play a contributory role preventing crowding in the ED.
Design/methodology/approach
An evaluation of two hourly ED Board Rounds was undertaken using the hospitals’ ED Board Round Standard Operating Procedure to develop a series of short questions. As leadership is the responsibility of all clinicians (Darzi, 2008; Moscrop, 2012), a separate survey was undertaken for clinicians of all grades and managers to self-assess their own leadership styles using the Path-Goal Leadership Theory (House and Mitchell, 1974; Indvik, 1985; Northhouse, 2013). Findings were reported to the team to explore ideas for improvement not only to develop more effective leadership in the ED but also to raise awareness of how to optimise leadership in Board Rounds.
Findings
In total, 27 (n = 27) clinicians and managers reported support for a 2 hourly Board Round, for a period of 15 min, in both minor and major injuries departments in ED. A multi-disciplinary Board meeting, led by the lead nurse with support from the Emergency Physician in Charge, was preferred, locating it at the nurse’s station. A validated Path-Goal Leadership survey instrument was returned (n = 24). The findings reveal that leaders and managers are using a high level of the directive leadership style, where there is more potential to use the supportive, participative and achievement approaches to leadership.
Research limitations/implications
This was a small sample, returned from a Hospital ED located in a semi-rural location, department requiring “improvement” from the Health Regulator. This research would benefit from being undertaken in a medium/large NHS ED department to identify if the findings report on a wider leadership culture in the NHS ED. The implications for this study are that improvement interventions such as a “Board Round” can be usefully evaluated alongside a review of leadership styles and approaches to understand the wider implications for continuous improvement and change in the ED.
Originality/value
NHS EDs are facing unprecedented challenges and require innovative evidence-based solutions combined with leadership at this time. The evidence base for improving patient flow is limited, however, this study provides some initial findings on the positive perception and experience of staff to Board Rounds. Board Rounds combined with leadership has the potential to contribute to the wider strategy to prevent crowding in ED. This paper is the first of its kind to evaluate perceptions of Board Rounds in the ED and to engage clinicians and managers in a self-assessment of their own leadership styles to reflect on optimum leadership styles for use in ED.
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Ketki Kaushik and Shruti Shastri
This study aims to assess the nexus among oil price (OP), renewable energy consumption (REC) and trade balance (TB) for India using annual time series data for the time period…
Abstract
Purpose
This study aims to assess the nexus among oil price (OP), renewable energy consumption (REC) and trade balance (TB) for India using annual time series data for the time period 1985–2019. In particular, the authors examine whether REC improves India's TB in the context of high oil import dependence.
Design/methodology/approach
The study uses autoregressive distributed lags (ARDL) bound testing approach that has the advantage of yielding estimates of long-run and short-run parameters simultaneously. Moreover, the small sample properties of this approach are superior to other multivariate cointegration techniques. Fully modified ordinary least square (FMOLS) and dynamic ordinary least squares (DOLS) are also applied to test the robustness of the results. The causality among the series is investigated through block exogeneity test based on vector error correction model.
Findings
The findings based on ARDL bounds testing approach indicate that OPs exert a negative impact on TB of India in both long run and short run, whereas REC has a favorable impact on the TB. In particular, 1% increase in OPs decreases TBs by 0.003% and a 1% increase in REC improves TB by 0.011%. The results of FMOLS and DOLS corroborate the findings from ARDL estimates. The results of block exogeneity test suggest unidirectional causation from OPs to TB; OPs to REC and REC to TB.
Practical implications
The study underscore the importance of renewable energy as a potential tool to curtail trade deficits in the context of Indian economy. Our results suggest that the policymakers must pay attention to the hindrances in augmentation of renewable energy usage and try to capitalize on the resulting gains for the TB.
Social implications
Climate change is a major challenge for developing countries like India. Renewable energy sector is considered an important instrument toward attaining the twin objectives of environmental sustainability and employment generation. This study underscores another role of REC as a tool to achieve a sustainable trade position, which may help India save her valuable forex reserves for broader objectives of economic development.
Originality/value
To the best of the authors’ knowledge, this is the first study that probes the dynamic nexus among OPs, REC and TB in Indian context. From a policy standpoint, the study underscores the importance of renewable energy as a potential tool to curtail trade deficits in context of India. From a theoretical perspective, the study extends the literature on the determinants of TB by identifying the role of REC in shaping TB.
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Technology triggers business collaboration and partnership as well as becomes an essential part for disruptive business strategies. The literature on this topic is dispersed, and…
Abstract
Technology triggers business collaboration and partnership as well as becomes an essential part for disruptive business strategies. The literature on this topic is dispersed, and the chapter addresses this gap. This chapter aims to present a systematic literature review of academic studies in disruptive collaborative innovation frameworks and provide guidance for future research by identifying current research gaps. The study uses the PRISMA framework and collects literature from 2015 to 2023 from highly ranked academic venues with the final sample of 112 papers. The section is structured around the PRISMA framework, and results are reported accordingly. The analysis was conducted using a range of methods, including bibliometric analysis, multiple correspondence analysis (MCA), and text network analysis.
The analysis of the literature is presented to identify the main areas of research as well as to gauge the emerging streams. The overall results suggest that this area is starting to develop with limited research available to date. The study identified four theoretical foundations for existing research, aligned with behavioral, network, resource-based (RBV), and knowledge-based views (KBV). The identified theoretical views and themes are discussed, and examples of the studies are provided.
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The aim of this paper is to provide a grammar for dissecting the financial crisis that began in the housing finance market of industrialized nations in 2007, rapidly becoming a…
Abstract
Purpose
The aim of this paper is to provide a grammar for dissecting the financial crisis that began in the housing finance market of industrialized nations in 2007, rapidly becoming a general credit crisis and spreading to all parts of the world and causing a global recession of gigantic proportions. The unexpectedness and force of the crisis has had experts floundering for an explanation and the policy response has been an ad hoc collection of stimulus interventions by governments and central banks around the world, akin to scatter shots in the hope that some will hit the target whatever it be.
Design/methodology/approach
The paper is based essentially on a static equilibrium model. The author chose the assumptions carefully to capture some of the features of dynamics in this static model. Also, a static model does not have to mean one period but the infinite repetition of the same kind of world. The aim here is to draw on some existing ideas concerning equilibria where group behavior influences individual preferences, and which give rise to multiple equilibria. Unlike several other works, the model in this paper does not try to explain the collapse in terms of the bursting of a bubble.
Findings
As more and more lenders indulged in sub‐prime lending, the share of risky borrowers rose. With a little lag, defaults rose. More and more houses came back on the market, and the value of houses declined. So the value of F (value of the mortgaged property), with which individual lenders had begun their calculations, declined. Clearly, the value of F depends on how many others were indulging in sub‐prime lending. If this aggregate supply was forecast wrongly, some firms would end up discovering that their asset position had weakened since the foreclosed property did not have the value originally calculated.
Originality/value
The model developed is a new frame for conceptualizing the crisis. While there has already been some theorizing on this, the model has the advantage of novelty and simplicity. It provides a stark characterization of how a small credit correction can escalate into a major equilibrium shift with large changes in behavior, in this case, a sudden collapse in the supply of and demand for loans. It is distinct from existing models of collapse in lending, which are based on the idea of bubbles bursting. Despite the model's simplicity, it turns out to be a useful structure addressing policy questions.
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Simranjit Singh Sidhu, Kanwarpreet Singh and Inderpreet Singh Ahuja
This study aims to prioritize barriers responsible for impeding the successful implementation of maintenance practices in Northern Indian small and medium enterprises (SMEs)…
Abstract
Purpose
This study aims to prioritize barriers responsible for impeding the successful implementation of maintenance practices in Northern Indian small and medium enterprises (SMEs). Maintenance practices play a crucial role in a company's long-term competitiveness in the manufacturing sector, significantly affecting production, quality and cost. Maintenance practices are equally vital in SMEs, because SMEs are the heart of the large industries, as these units are dependent on SMEs for their parts and sub-assemblies. However, due to many obstacles, SMEs have been confronted with various challenges in implementing maintenance practices.
Design/methodology/approach
First, a review of the published articles and survey of 216 Indian organizations has been conducted to identify the maintenance implementation barriers in SMEs. The Pareto analysis and the VlseKriterijumska Optimizcija Kompromisno Resenje in Serbian (VIKOR) approach have been deployed to rank the significant challenges in implementing maintenance practices in Northern Indian SMEs.
Findings
The present study aims to recognize and rank the barriers to effective maintenance implementation practices in SMEs, in order to initiate appropriate corrective actions to improve maintenance function performance.
Originality/value
The study will help maintenance managers in preparing an action plan to overcome the obstacles to maintenance practice's performance for realizing significant manufacturing performance improvements.
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Suraj Kulkarni, Suhas Suresh Ambekar and Manoj Hudnurkar
Increasing health-care costs are a major concern, especially in the USA. The purpose of this paper is to predict the hospital charges of a patient before being admitted. This will…
Abstract
Purpose
Increasing health-care costs are a major concern, especially in the USA. The purpose of this paper is to predict the hospital charges of a patient before being admitted. This will help a patient who is getting admitted: “electively” can plan his/her finance. Also, this can be used as a tool by payers (insurance companies) to better forecast the amount that a patient might claim.
Design/methodology/approach
This research method involves secondary data collected from New York state’s patient discharges of 2017. A stratified sampling technique is used to sample the data from the population, feature engineering is done on categorical variables. Different regression techniques are being used to predict the target value “total charges.”
Findings
Total cost varies linearly with the length of stay. Among all the machine learning algorithms considered, namely, random forest, stochastic gradient descent (SGD) regressor, K nearest neighbors regressor, extreme gradient boosting regressor and gradient boosting regressor, random forest regressor had the best accuracy with R2 value 0.7753. “Age group” was the most important predictor among all the features.
Practical implications
This model can be helpful for patients who want to compare the cost at different hospitals and can plan their finances accordingly in case of “elective” admission. Insurance companies can predict how much a patient with a particular medical condition might claim by getting admitted to the hospital.
Originality/value
Health care can be a costly affair if not planned properly. This research gives patients and insurance companies a better prediction of the total cost that they might incur.
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Ruksar Ali, Sujood, Ariba Naz and Mohd Azhar
The purpose of this study is to provide a review of the existing research landscape on work-life balance and women’s career motivation. It examines the relationship between…
Abstract
Purpose
The purpose of this study is to provide a review of the existing research landscape on work-life balance and women’s career motivation. It examines the relationship between work-life balance and career motivation in the context of Indian women. Specifically, it explores how the work-life balance of women influences the motivational aspects of their careers.
Design/methodology/approach
The research uses a systematic literature review to identify and analyze relevant literature on work-life balance and women’s career motivation among Indian women from the Scopus database.
Findings
The study uncovers critical insights into the connection between work-life balance and women’s career decisions. It gives insight on how work-life balance significantly impacts women’s career choices. The SLR reveals a notable and consistent upward trend in the domains of work-life balance and career motivation among women.
Research limitations/implications
The findings of this study can inform organizations in tailoring policies that foster women’s career growth while simultaneously supporting a healthy work-life balance. In addition, the research can empower women to make informed decisions about their careers and personal lives. Ultimately, it contributes to creating a more inclusive and gender-equitable work environment, promoting both women’s career aspirations and their overall well-being.
Originality/value
This research stands out in its examination of the relationship between work-life balance and women’s career motivation, particularly in the unique context of Indian women. While previous studies have explored these topics individually, this research bridges the gap by investigating their interplay. Moreover, the application of a systematic literature review approach to these variables in the context of Indian women represents a novel contribution.
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Innovation and entrepreneurship are regarded as the key drivers to steer the engine of economic development in any nation. As a result, to understand the context and process of…
Abstract
Purpose
Innovation and entrepreneurship are regarded as the key drivers to steer the engine of economic development in any nation. As a result, to understand the context and process of innovation and entrepreneurship there has been a steady rise in scientific literature and empirical studies. The purpose of this paper is to study the trends and progress of academic research on innovation and entrepreneurship in India by identifying the key articles, journals, authors and institutions.
Design/methodology/approach
Scientometric methods especially bibliometrics is used, for measuring the maturity of this research field in the country. The paper studies the research landscape in innovation and entrepreneurship in India by doing a bibliometric analysis using data from publications indexed in the Scopus database from the year 2000 to 2018. The study takes a multidisciplinary review of the literature in innovation and entrepreneurship research in India and could be used as a reference for future studies in this theme.
Findings
The study finds an increase in the scholarly studies in innovation and entrepreneurship in India in the last decade. It was also found that a large number of publications were joint-authored and collaborations between Indian and foreign universities is happening. The paper also highlights the authorship patterns, top journals and the most cited papers.
Research limitations/implications
A major limitation of this study is that it has considered publications which are indexed in Scopus. This paper has contributed by highlighting the growth of studies in the field of innovation and entrepreneurship in the Indian context. The results can be used by future studies in this area as a starting point to highlight the nature of this research area.
Originality/value
The study attempts to present a trend analysis of published literature on innovation and entrepreneurship in India.
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Dana Abdulla Alrahbi, Mehmood Khan, Shivam Gupta, Sachin Modgil and Charbel Jose Chiappetta Jabbour
The health-care industry has multiple stakeholders, with knowledge dispersed among clinicians, experts and patients and their families. As the adoption of health-care information…
Abstract
Purpose
The health-care industry has multiple stakeholders, with knowledge dispersed among clinicians, experts and patients and their families. As the adoption of health-care information technologies (HITs) depends on multiple factors, this study aims to uncover the motivators for adopting them.
Design/methodology/approach
The study considers 391 respondents, representing the health-care sector, to evaluate the motivators for adopting HITs for better-dispersed knowledge management. The authors analyze the responses using exploratory factor analysis (EFA) to identify the actual structure of the factors, followed by confirmatory factor analysis (CFA).
Findings
EFA categorized the factors into four classes: quality management; information sharing; strategic governance; and available technological infrastructure. CFA revealed that the strategic governance factor is most predictive of successfully adopting HITs that model the normative pressure of Institutional theory in health-care organizations. These results indicate that, along with considerations of finances, care quality and infrastructure, effective government involvement and policy-making are important for successful HIT adoption.
Practical implications
Results reveal that stakeholders’ motivating factors for HIT adoption in a developed economy like the United Arab Emirates are based on considering HITs as a knowledge management mechanism. These factors may help other nations in HIT implementation and drive valuable innovations in the health-care sector. This research presents the implications for health-care professionals and stakeholders in relation to adopting HITs and their role in knowledge flow for efficient care.
Originality/value
HITs offer an affordable and convenient platform for collaboration among diverse teams in the health-care sector. Apart from this, it helps in facilitating an interactive platform for knowledge creation and transfer for the benefit of users and providers.