Search results

The aim of this study is to determine the effect of the application of the lean methodoloy in the pathology laboratory and to evaluate the results on the turnaround time.

This study was a prospective intervention study formed of the three stages of pre-intervention, determination of problem areas and the application of lean techniques and quality improvement. The study was conducted between February 2019 and August 2020. In the first stage, research was made through interviews, observations, questionnaires and seminars; in the second stage, observations, brain-storming, process flowcharts and fishbone diagram were used; and in the third stage, Kaizen, A3 method and spaghetti diagram were applied.

Following the application of lean techniques, turnaround time in the pathology laboratory was decreased, and the changes made in the working methods and placement of the units in the laboratory were found to have prevented unnecessary steps. The lean method was also determined to have had positive effects on the workplace satisfaction of the laboratory employees and of the physicians working with the laboratory.

The results showed that applying lean techniques could reduce waste and increase participation in processes. This article demonstrates its originality and relevance by proving that the lean techniques can be applied in the hospital laboratory. Actions to improve turnaround time are also crucial for the efficient use of resources.

The purpose of this project was to develop research support services that address local and external research data management (RDM) support drivers within the existing organizational culture at the University of Florida. The goal was to prompt organization change to support a campus-wide electronic lab notebook.

This project used a mixed-methods research approach to cultivate an organizational change program that support technological infrastructure to benefit researchers. The mixed-methods research involved participation action research integrated with a stakeholder approach.

The development of the grant proposal which was unfunded led to development of continued project goals. This project confirmed the development for support for an institution-wide electronic research notebook (ERN) solution requires adherence to the summary of five key actions for developing RDM services. Failure to complete all of the key actions engenders fragmentation culture.

This project includes implications for institutions to develop grant proposals with integrated budgets for research support services of funded projects; and to use the summary of key actions for developing RDM services articulated by Jones et al. (2013) in “How to Develop RDM Services – a guide for HEIs.” Both are need to support findable, accessible, interoperable and reusable data for researchers.

This project has practical implications for higher education institutions interested in leveraging socio-technical processes to advance the role of libraries as collaborator, partner and stakeholder in developing institution-wide adoption, support and training for ERN as a research support service to RDM.

This paper contributes to the body of developing literature on ERN as support services to RDM lead by academic research libraries.

This project contributed to the change in organization culture resulting in the successful collaboration between the Research Office and College of Medicine to support an institution-wide ERN technological infrastructure for one year as a pilot at a large academic research institution in the southeast USA.

The purpose of this study was threefold: (1) to measure farmers' health poverty, (2) to examine the effect of health vulnerability on health poverty and (3) to identify countermeasures that may alleviate health poverty in rural China.

This study built a health poverty measurement model based on the multi-dimensional poverty framework to evaluate farmers' health vulnerability. Further, this paper used an econometric model to assess the impact of health vulnerability on health poverty. The sample for this study comprised 1,115 rice farmers from Hubei province, China.

The medical affordability poverty ratio was 17.95%, where farmers in the low-income group faced severe medical affordability poverty (27.46%). Results from the multi-dimensional analysis showed that, the health poverty ratios were 17.95 and 30.50%, respectively. Our results indicated that climate change vulnerabilities, living habits, medical facilities and medical accessibility were positively related to health poverty, whereas the regular physical examinations reduced mental health poverty.

Based on this study's findings, we proposed that: (1) to address illness-induced poverty among members of the agricultural community, national and provincial strategies and programs grounded on a multi-dimensional health poverty framework ought to be formulated and implemented, (2) mechanisms of health knowledge exchange may facilitate the improvement of farmers' health status, (3) robust and comprehensive metrics should be employed to understand and improve farmers' ability to absorb and mitigate the negative health impacts and (4) the improvement in both quality and quantity for medical facilities and medical affordability in the rural areas should be key priorities in governmental-wide initiatives.

Existing studies for alleviating poverty caused by disease mainly focus on medical service support to those economic vulnerabilities after a disease happens. However, few studies have focused on the root causes of poverty caused by disease, particularly from the preventive perspective of health vulnerability. To fill this gap, this study, therefore, proposes the health poverty index and analyzes the impact of health vulnerability on health poverty.

This research explores the impact of classical aesthetics (e.g. order and symmetry) and expressive aesthetics (e.g. creativity and distinctiveness) on consumer green consumption.

This research conducted three studies. Study 1 explored the main effect of appearance aesthetics (appearance: plain vs classical vs expressive) on green products purchase intention through a one-factor between-subjects design. Study 2 verified the mediating role of perceived naturalness through two types of appearance aesthetics (appearance: classical vs expressive) between-subjects design. Study 3 verified the moderating role of product identity-symbolic attributes through a 2 (product identity-symbolic attributes: non-identity-symbolic vs identity-symbolic attributes) × 2 (appearance: classical aesthetics vs expressive aesthetics) between-subjects design.

Consumers will be more likely to purchase a green product that has classical aesthetics appearance (vs expressive aesthetics). Perceived naturalness mediates the effect of aesthetic appearance on consumer green consumption. Product identity symbol attributes moderate this effect. Specifically, for non-identity-symbolic green products, classical aesthetics can effectively enhance consumer purchase intention. For identity-symbolic green products, expressive aesthetics can effectively enhance consumer purchase intention.

Existing research suggests that aesthetic appearance can increase consumers’ evaluation of electronic products, beauty products and food, but the difference between aesthetics has not yet been explored. This research compares two aesthetics, contributing to the literature on aesthetic appearance in green products and offering valuable insights for managers’ green products marketing.

Literature has recognised entrepreneurship education as the main conduit through which entrepreneurial behaviours, attitudes and actions can be built, enacted and delivered. Since the founding of new ventures is largely a resourceful founder-driven enterprise, entrepreneurship education has largely centred on galvanising and shifting the mindsets and cognition of the entrepreneur. Yet, despite over 60 years of delivering entrepreneurship education programmes, hard evidence of the generation of high-growth-oriented and sustainable ventures has been scarce as student entrepreneurship intentions do not always translate into successful venture creation. This is largely because of the complexities of the practicality of entrepreneurial education particularly, the dissonance between acquired education in business schools and the knowledge and competencies needed in the entrepreneurial field. Such dissonance can be attributed to the lack of clarity on the pedagogical approach that most resonates with entrepreneurial action, the diversity in assessment methods and the scholarly illusion pertaining to how pedagogical approaches can be channelled to the generation of growth-oriented ventures. Drawing on Girox's concepts of transformative critical pedagogy (including pedagogy of repression), Socratic dialogue, Hegelian dialectic and Yrjö Engeström's transformative expansive agency, I demonstrate how a flipped transformative critical pedagogy can be harnessed in digitally enhanced learning environments to create new entrepreneurial possibilities for facilitating critical inquiry, complex problem-solving, innovation for the market and fostering tolerance for failure in ambiguous entrepreneurial contexts.

During COVID-19, this study aims to evaluate the crisis communication strategies (CCS) of Fortune 500 medical device businesses. These companies’ CCS adoption is evaluated using data from the microblogging site Twitter.

A total of 11,569 tweets were collected over the course of a year, from 31 December 2019 to 31 December 2020, and analysed using COVID-19’s pre-crisis, crisis and new normal stages. The data acquired from Twitter is assessed using latent Dirichlet allocation-based topic modelling, valence aware dictionary for sentiment reasoning sentiment analysis and emotion recognition analysis and then further examined using fuzzy set qualitative comparative analysis to build a configurational model. The findings were compared to Cheng’s (2018, 2020) integrated strategy toolkit for organisational CCS, which included 28 strategies.

With positive sentiments across stages, companies chose “information providing”, “monitoring” and “good intentions” as the CCS. In the crisis and new normal stages of COVID, the emotion of “depression” was observed.

Researchers would be able to assess the CCS used through visual aids in the future by conducting a cross-industry examination using image analytics. Furthermore, by prolonging the study’s duration, long-term changes in the CCS can be investigated.

Companies should send real-time information to their stakeholders via social media during a pandemic, conveying good intentions and positive sentiments while remaining neutral.

To the best of the authors’ knowledge, this is one of the first studies to investigate the CCS patterns used by medical device businesses to communicate via social media during a pandemic.

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.