Search results

The aim of this paper is to synthesize and assess the published literature relating to critical success factors for continuous improvement projects (CIPs).

A systematic literature review (SLR) was conducted to obtain the most relevant papers from four platforms: EBSCOhost, Engineering Village, ProQuest and Web of Science. The literature was assessed and synthesized based on analysis of characteristics relating to publications, authors and the content of publications.

From the SLR, 98 publications were identified and analyzed. One primary finding is that this research area appears to demonstrate characteristics of an emerging field, not yet well established across all relevant aspects. Second, a comprehensive set of 53 factors were extracted from the publications identified. These factors were analyzed according to frequency in the published literature. This set of factors can be used in future empirical research to develop a more complete understanding of the relative contribution of each to influencing CIP success.

The SLR methodology does not guarantee that all of the publications related to a given research area will be identified; however, the researchers took different actions to mitigate this limitation. Further, not all relevant information from the publication set could be included in this work because of space constraints.

To the authors’ knowledge, this paper presents the most comprehensive list of factors, and associated definitions, relevant to CIP success.

Evidence suggests that hospitals are having problems achieving continuous improvement project (CIP) goals or sustaining their results. Therefore, the purpose of this paper is to identify those critical success factors (CSFs) most strongly related to CIP success in hospitals (Lean-Kaizen project, Lean Six Sigma project, Six Sigma projects, and Quality Improvement projects).

A retrospective survey was applied to any CIP leaders/facilitators from hospitals that conducted at least one CIP during the last two years.

Three main findings were obtained from the 116 valid responses. First, the level of importance of 47 out of 53 CSFs to achieve CIPs success in hospitals was assessed as very important or higher (4 or higher on a six-point scale). Second, there are important differences between the CSFs to achieve CIP success in hospitals in this research and previous investigations. Third, the type of CIP affects the level of importance of 16 out of 53 CSFs to achieve CIP success in hospitals.

Practitioners involved with CIPs activities in hospitals could use the knowledge extracted from this investigation to improve the impact of their CIPs. Future research should continue in two lines: test if the 53 CSFs for CIPs measure a unique factor and identify the main relationships or paths between CSFs for CIPs and CIP outcomes.

The purpose of this paper is to evaluate a continuous improvement project (CIP) at a Mexican university designed to increase engineering graduate student loyalty.

A plan-do-check-act problem-solving methodology was implemented, and a SERVQUAL survey was conducted on 67 master’s engineering students.

Five factors were found to affect student loyalty: facility cleanliness; faculty teaching skills; evening student services; master’s degree student management roles at work; and master’s degree students’ ages. After the implementation of the improvement and control actions, there was a 7.7% increase in the engineering master’s degree students’ loyalty scores.

However, there were several research limitations: data availability (such as student loyalty, student satisfaction and a small master’s degree student population size) and factors outside the CIP’s scope (such as the country’s economic situation, university rankings, master’s programme accreditations and COVID-19).

The findings from this research study could be used by other higher education institutions (HEIs)to improve student loyalty and as a reference when conducting similar studies in other service organisations such as hospitals and hotels.

This research work took a different approach in assessing student satisfaction and student loyalty in a HEI by using the SERVQUAL survey as the data collection instrument for conducting CIP.

The purpose of this paper is to describe the current research on hospital continuous improvement projects (CIPs) from an author characteristics’ perspective. This work addresses the following questions: who are the predominant research authors in hospital CIPs? To what extent are the research communities collaborating in distinct research groups? How internationalized has hospital CIPs research become with respect to author location?

A systematic literature review was conducted, identifying 302 academic publications related to hospital CIPs. Publications were analyzed using: author, quantity, diversity, collaboration, and impact.

Hospital CIPs are increasingly attracting new scholars each year. Based on the authors’ analysis, authors publishing in this area can be described as a relatively new international community given the countries represented.

This paper describes the current hospital CIP research by assessing author characteristics. Future work should examine additional attributes to characterize maturity such as how new knowledge is being created and to what extent new knowledge is being disseminated to practitioners.

This study aims to examine the impact of gamification on the five dimensions of meaningful learning (i.e. cooperative, active, authentic, constructive and intentional learning) and undergraduate student performance taking online lessons.

Therefore, the authors conducted an experiment among undergraduate students taking online classes at the Mechanical and Electrical Engineering School at a public university during the COVID-19 pandemic. The experiment included one control and two observation groups using gamification (Golden Points). Qualitative and quantitative analyses were performed.

Results showed that gamification significantly affects meaningful learning and impacts student performance in online courses.

This study was limited to a single topic in a six-month course at a public university. Additional research is required to continue examining the impact of gamification in higher education institutions with different format courses and in other organisational sectors.

The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.

A systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.

From the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.

The use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.

To the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.

The objective of this paper is to contribute to Australian berry supply chains with a relevant identification regarding the possible data driven interventions that stakeholders can take while the berries are in transit.

An exploratory series of semi-structured interviews was conducted through six Australian experts in the industry with more than 20 years of experience in Australian berry supply chains and the Australian perishable food industry, to identify key possible in-transit interventions that could be implemented in the Australian berry industry.

The analysis of the interviews revealed a total of 18 possible in-transit interventions. An important finding is that in-transit interventions are made possible by the use of real-time data gathered through IoT devices such as Active Radio Frequency Identification, Time and Temperature Indicators interacting with Wireless Sensor Networks. Another key finding is that Australian berry growers and retailers do possess the technologies and the resources necessary to make in-transit interventions possible, however they have yet applied these technologies to operational decision-making and interventions based on the product, rather focussing on supply chain transactions and events.

Since the research focusses on an Australian context, its findings may or may not be applicable to other countries. The research is exploratory in nature, and its findings should be verified by future research, in particular to test whether the in-transit interventions proposed here can be implemented in a cost-efficient way.

To the authors' knowledge, this publication is the first known academic article to provide a clear understanding of the Australian berry industry from a supply chain and logistics perspective, and the first to explore possible data driven in-transit interventions in perishable food supply chains.

Although electric vehicles (EVs) offer promising solutions for reducing transport emissions, several obstacles hinder their adoption, and supply chain (SC) stakeholders must systematically identify and address these challenges. Prior research has explored barriers to EV adoption but lacks a global focus on last-mile delivery (LMD). Our study aims to fill this gap, providing a foundation for future research and aiding organizational shifts towards sustainable transportation.

Our study identifies 21 critical barriers to EV deployment in LMDs, validated through a quantitative survey involving 157 SC experts. The survey data are analysed using Exploratory Factor Analysis (EFA), which identifies four distinct dimensions encapsulating the identified barriers. Based on consultations with five experts, the Analytical Hierarchy Process (AHP) ranks these dimensions and individual impediments globally.

The study finds “Energy and Infrastructure Barriers” and “Financial and Resource Barriers” to be the most significant hindrances. Noteworthy individual barriers include the absence of fast-charging stations, insufficient electricity provision and the need for investment in Power Grid upgrades.

This research contributes to the existing literature by offering a robust methodology for classifying and ranking EV adoption barriers through EFA and AHP. It thus provides a globally applicable framework for stakeholders to devise targeted strategies for overcoming these barriers.