Displaying publications 21 - 40 of 88 in total

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  1. Aliero MS, Pasha MF, Toosi AN, Ghani I
    Environ Sci Pollut Res Int, 2022 Dec;29(57):85727-85741.
    PMID: 35001275 DOI: 10.1007/s11356-021-17862-z
    The enforcement of the Movement Control Order to curtail the spread of COVID-19 has affected home energy consumption, especially HVAC systems. Occupancy detection and estimation have been recognized as key contributors to improving building energy efficiency. Several solutions have been proposed for the past decade to improve the precision performance of occupancy detection and estimation in the building. Environmental sensing is one of the practical solutions to detect and estimate occupants in the building during uncertain behavior. However, the literature reveals that the performance of environmental sensing is relatively poor due to the poor quality of the training dataset used in the model. This study proposed a smart sensing framework that combined camera-based and environmental sensing approaches using supervised learning to gather standard and robust datasets related to indoor occupancy that can be used for cross-validation of different machine learning algorithms in formal research. The proposed solution is tested in the living room with a prototype system integrated with various sensors using a random forest regressor, although other techniques could be easily integrated within the proposed framework. The primary implication of this study is to predict the room occupation through the use of sensors providing inputs into a model to lower energy consumption. The results indicate that the proposed solution can obtain data, process, and predict occupant presence and number with 99.3% accuracy. Additionally, to demonstrate the impact of occupant number in energy saving, one room with two zones is modeled each zone with air condition with different thermostat controller. The first zone uses IoFClime and the second zone uses modified IoFClime using a design-builder. The simulation is conducted using EnergyPlus software with the random simulation of 10 occupants and local climate data under three scenarios. The Fanger model's thermal comfort analysis shows that up to 50% and 25% energy can be saved under the first and third scenarios.
    Matched MeSH terms: Efficiency
  2. Zhong C, Hamzah HZ, Yin J, Wu D, Cao J, Mao X, et al.
    Environ Sci Pollut Res Int, 2023 Mar;30(15):44490-44504.
    PMID: 36692722 DOI: 10.1007/s11356-023-25410-0
    As an important indicator of sustainable development, industrial eco-efficiency (IEE) has aroused growing attention from governments all over the world including China, in recent decades. The Chinese government has introduced numerous environmental regulations; however, the environmental pollution issue does not appear to have been solved. Moreover, although several earlier studies have shown that environmental regulations may promote innovation, there is no consensus on their ultimate effects on IEE. Therefore, this study took a critical look at the connection between environmental regulations and IEE in 36 Chinese sub-sectors from 2009 to 2018. Based on the weak Porter hypothesis (weak PH) and strong Porter hypothesis (strong PH), this paper constructed two panel regression models and conducted group analysis by pollution intensity to check the relationships among environmental regulations, technological innovation, and IEE. It was found that environmental regulations can improve technological innovation and IEE, but these impacts vary across different pollution groups. Specifically, environmental regulations have a U-shaped or inverted U-shaped relationship with technological innovation and IEE. Of the 36 sub-sectors, 26 prove the existence of the Weak PH while 10 verify the Strong PH, indicating that environmental regulations generally advocate technological innovation for most sub-sectors but only promote IEE in a few sub-sectors at present. Finally, differentiated policy implications for environmental regulations and technological innovation are provided for decision-makers.
    Matched MeSH terms: Efficiency*
  3. Kuah CT, Koh QY, Rajoo S, Wong KY
    Environ Sci Pollut Res Int, 2023 Jun;30(28):72074-72100.
    PMID: 35716302 DOI: 10.1007/s11356-022-21377-6
    Human usage of non-renewable energy resources has caused many environmental issues, which include air pollution, global warming, and climate irregularities. To counter these issues, researchers have been seeking after alternative renewable energy sources and ways to manage energy more efficiently. This is where energy recovery technologies such as waste heat recovery (WHR) come into play. WHR is a form of waste to energy conversion. Waste heat can be captured and converted into usable energy instead of dumping it into the environment. In the more recent years, the WHR research field has gained great attention in the scientific community as well as in some energy-intensive industries. This article presents a bibliometric overview of the academic research on WHR over the span of 30 years from 1991 to 2020. A total of 5682 documents from Web of Science (WoS) have been retrieved and analyzed using various bibliometric methods, including performance analysis and network analysis. The analyses were performed on different actors in the field, i.e., funding agencies, journals, authors, organizations, and countries. In addition, several network mappings were done based on co-citation, co-authorship, and co-occurrences of keywords analyses. The research identified the most productive and influential actors in the field, established and emergent research topics, as well as the interrelations and collaboration patterns between different actors. The findings can be a robust roadmap for further research in this field.
    Matched MeSH terms: Efficiency
  4. Zhang J, Lu G, Skitmore M, Ballesteros-Pérez P
    Environ Sci Pollut Res Int, 2021 Jul;28(27):35392-35405.
    PMID: 34018106 DOI: 10.1007/s11356-021-14467-4
    The current world economy needs to undergo a green transformation. Green total factor productivity provides the basis for judging whether a country or region can attain long-term sustainable development. However, there is little research into the factors that influence green total factor productivity and this has become an obstacle in the transition to a greener economy. On filtering relevant articles and interviews data collected from 2009 to 2019, open decoding, spindle decoding, and selective decoding are carried out to classify research conducted into green total factor productivity. From this analysis, cutting-edge research and knowledge gaps in green total factor productivity are identified. Also, an influencing factor model of green total factor productivity is built. Findings suggest that technical, economic, and government are the three main research streams involved in this transformation process. In particular, technology plays a decisive role, economy plays a guaranteeing role, and government plays a regulatory role. Moreover, the impact of these factors cannot be isolated, as each influence and mediate the other two. Results from this study will help further popularize green total factor productivity and provide a new starting point for reducing energy consumption and environmental pollution.
    Matched MeSH terms: Efficiency
  5. Lim KS, Wu C, Choo WY, Tan CT
    Epilepsy Behav, 2012 Jun;24(2):207-12.
    PMID: 22564888 DOI: 10.1016/j.yebeh.2012.03.038
    A quantitative scale of public attitudes toward epilepsy is essential to determine the magnitude of social stigma against epilepsy. This study aims to develop and validate a cross-culturally applicable scale of public attitudes toward epilepsy.
    Matched MeSH terms: Efficiency
  6. Nasarudin NM, Mohd Saiboon I, Ismail AK
    Eur J Emerg Med, 2013 Oct;20(5):335-8.
    PMID: 22976462 DOI: 10.1097/MEJ.0b013e328358fa40
    Dengue fever is endemic in Malaysia and poses a significant problem to the national health system. Because of its nonspecific clinical features, it creates clinical and administrative uncertainties. We evaluated the role of an emergency department short-stay ward (EDSSW) in the management of dengue fever in the Universiti Kebangsaan Malaysia Medical Centre (UKMMC).
    Matched MeSH terms: Efficiency, Organizational*
  7. Ewart KM, Lightson AL, Sitam FT, Rovie-Ryan JJ, Mather N, McEwing R
    Forensic Sci Int Genet, 2020 01;44:102187.
    PMID: 31670244 DOI: 10.1016/j.fsigen.2019.102187
    The illegal ivory trade continues to drive elephant poaching. Large ivory seizures in Africa and Asia are still commonplace. Wildlife forensics is recognised as a key enforcement tool to combat this trade. However, the time and resources required to effectively test large ivory seizures is often prohibitive. This limits or delays testing, which may impede investigations and/or prosecutions. Typically, DNA analysis of an ivory seizure involves pairing and sorting the tusks, sampling the tusks, powdering the sample, decalcification, then DNA extraction. Here, we optimize the most time-consuming components of this process: sampling and decalcification. Firstly, using simulations, we demonstrate that tusks do not need to be paired to ensure an adequate number of unique elephants are sampled in a large seizure. Secondly, we determined that directly powdering the ivory using a Dremel drill with a high-speed cutter bit, instead of cutting the ivory with a circular saw and subsequently powdering the sample in liquid nitrogen with a freezer mill, produces comparable results. Finally, we optimized a rapid 2 -h decalcification protocol that produces comparable results to a standard 3-day protocol. We tested/optimised the protocols on 33 raw and worked ivory samples, and demonstrated their utility on a case study, successfully identifying 94% of samples taken from 123 tusks. Using these new rapid protocols, the entire sampling and DNA extraction process takes less than one day and requires less-expensive equipment. We expect that the implementation of these rapid protocols will promote more consistent and timely testing of ivory seizures suitable for enforcement action.
    Matched MeSH terms: Efficiency*
  8. Mohd Hassan NZA, Bahari MS, Aminuddin F, Mohd Nor Sham Kunusagaran MSJ, Zaimi NA, Mohd Hanafiah AN, et al.
    Front Public Health, 2022;10:959812.
    PMID: 36684911 DOI: 10.3389/fpubh.2022.959812
    INTRODUCTION: Ambulance services are pivotal in any country's healthcare system. An efficient ambulance service not only decreases patient mortality rate but also allows resource prioritization for better outputs. This study aims to measure the efficiency of ambulance services provided by health facilities in the Ministry of Health (MOH), Malaysia.

    METHODS: This cross-sectional study analyzed the efficiency of 76 Decision-Making Units (DMUs) or health facilities, consisting of 62 health clinics and 14 hospitals. Data Envelopment Analysis (DEA) was used for computing efficiency scores while adopting the Variable Return to Scale (VRS) approach. The analysis was based on input orientation. The input was the cost of ambulance services, while the output for this analysis was the distance coverage (in km), the number of patients transferred, and hours of usage (in hours). Subsequent analysis was conducted to test the Overall Technical Efficiency (OTE), the Pure Technical Efficiency (PTE), the Scale Efficiency (SE), and the Return to Scale with the type of health facilities and geographical areas using a Mann-Whitney U-test and a chi-square test.

    RESULTS: The mean scores of OTE, PTE, and SE were 0.508 (±0.207), 0.721 (±0.185), and 0.700 (±0.200), respectively. Approximately, 14.47% of the total health facilities were PTE. The results showed a significant difference in OTE and SE between ambulance services in hospitals and health clinics (p < 0.05), but no significant difference in PTE between hospitals and clinics (p>0.05). There was no significant difference in efficiency scores between urban and rural health facilities in terms of ambulance services except for OTE (p < 0.05).

    DISCUSSION: The ambulance services provided in healthcare facilities in the MOH Malaysia operate at 72.1% PTE. The difference in OTE between hospitals and health clinics' ambulance services was mainly due to the operating size rather than PTE. This study will be beneficial in providing a guide to the policymakers in improving ambulance services through the readjustment of health resources and improvement in the outputs.

    Matched MeSH terms: Efficiency, Organizational*
  9. Zare H, Tavana M, Mardani A, Masoudian S, Kamali Saraji M
    Health Care Manag Sci, 2019 Sep;22(3):475-488.
    PMID: 30225622 DOI: 10.1007/s10729-018-9456-4
    Performance measurement plays an important role in the successful design and reform of regional healthcare management systems. In this study, we propose a hybrid data envelopment analysis (DEA) and game theory model for measuring the performance and productivity in the healthcare centers. The input and output variables associated with the efficiency of the healthcare centers are identified by reviewing the relevant literature, and then used in conjunction with the internal organizational data. The selected indicators and collected data are then weighted and prioritized with the help of experts in the field. A case study is presented to demonstrate the applicability and efficacy of the proposed model. The results reveal useful information and insights on the efficiency levels of the regional healthcare centers in the case study.
    Matched MeSH terms: Efficiency, Organizational*
  10. Hamzah NM, See KF
    Health Care Manag Sci, 2019 Sep;22(3):462-474.
    PMID: 30868325 DOI: 10.1007/s10729-019-09470-8
    Various pharmacy services are offered in public health facilities, ranging from distributive activities (dispensing) to patient-oriented services (pharmaceutical care). These activities are monitored through indicators established at the national level. In Malaysia, the indicators have not been transformed into a measurement of hospital pharmacy service efficiency. The main objectives of this study were to assess the relative performance of hospital pharmacy services and to investigate the factors that may affect the performance levels. Double-bootstrap data envelopment analysis was applied to measure the technical efficiency levels of 124 public hospital pharmacies in 2014. An input-oriented variable returns to scale model was adopted in the study, while bootstrap truncated regression was conducted to identify the factors that may explain the differences in the efficiency levels. The average bias-corrected technical efficiency score varies according to the hospital size (0.84, 0.78 and 0.82 in small, medium and large hospitals, respectively). The hospital size, hospital age, urban location and information technology are important determinants of the efficiency levels. The study contributes to establishing baseline technical efficiency information for public hospital pharmacy services in Malaysia. The measurement of hospital pharmacy efficiency can guide future policy making to improve performance and ensure the optimum level of available resources.
    Matched MeSH terms: Efficiency, Organizational*
  11. Md Hamzah N, Yu MM, See KF
    Health Care Manag Sci, 2021 Jun;24(2):273-285.
    PMID: 33651316 DOI: 10.1007/s10729-020-09539-9
    Malaysia was faced with a life-threatening crisis in combating COVID-19 with a number of positive cases reaching 5305 and 88 deaths by 18th April 2020 (the first detected case was on 25th January 2020). The government rapidly initiated a public health response and provided adequate medical care to manage the public health crisis during the implementation of movement restrictions, starting 18th March 2020, throughout the country. The objective of this study was to investigate the relative efficiency level of managing COVID-19 in Malaysia using network data envelopment analysis. Malaysia state-level data were extracted from secondary data sources which include variables such as total number of confirmed cases, death cases and recovered cases. These variables were used as inputs and outputs in a network process that consists of 3 sub processes i) community surveillance, ii) medical care I and iii) medical care II. A state-level analysis was performed according to low, medium and high population density categories. The efficiency level of community surveillance was highest compared to medical care processes, indicating that the overall inefficiency is greatly influenced by the inefficiency of the medical care processes rather than the community surveillance process. Results showed that high-density category performed well in both community surveillance and medical care II processes. Meanwhile, low-density category performed better in medical care I process. There was a good overall performance of the health system in Malaysia reflecting a strong preparedness and response level to this pandemic. Furthermore, resource allocation for rapid response was distributed effectively during this challenging period.
    Matched MeSH terms: Efficiency, Organizational*
  12. Zainal H, Zainab AN
    Health Info Libr J, 2011 Sep;28(3):216-25.
    PMID: 21831221 DOI: 10.1111/j.1471-1842.2011.00943.x
    BACKGROUND: The aim of this study was to examine Malaysian contributions in the field of biomedical and health sciences.
    METHODS: In this study, 3697 publications affiliated to Malaysian addresses from the sci database between 1990 and 2005 were sampled. This study also explored publication productivity trends, authorship and collaboration pattern, core journals used, and citations obtained.
    RESULTS: Main contributions were journal articles (73.3%). Most authors (63.7%) contributed only one article and 16.1% produced over 30-68 publications. Multi-authored works were the norm. The productive authors were named either first or second in publications. There were active collaborations with authors from Asia-Pacific countries (35%) and Europe (30%). The majority of publications were contributed by institutions of higher learning (87%). Core journals used follow quite close to Bradford's zonal ratios of 44:152:581. The active research areas were identified. About 71.3% of publications received citations especially those published from 1995 to 1999.
    CONCLUSION: This study helped librarians identify active researchers, active research areas and journals relevant to biomedical and health sciences researchers and useful when producing reports to university management and planning medical collection policies and deciding on journal subscriptions and cancellations.
    Matched MeSH terms: Efficiency*
  13. Al-Shdaifat EA, Manaf MR
    Indian J Med Sci, 2013 12 12;67(5-6):103-16.
    PMID: 24326762
    BACKGROUND: Hemodialysis treatment is a costly procedure that requires specific resources. It has a considerable burden on patients, caregivers, and healthcare system. The aim of this study was to estimate the economic burden borne by the Ministry of Health (MOH) in Jordan, with a focus on direct medical, direct non-medical, and indirect cost.

    MATERIALS AND METHODS: The study was conducted at MOH hospitals in Jordan, from August to November 2010. A total of 138 patients and 49 caregivers were involved in the study. An economic evaluation study was used to analyze the burden of hemodialysis treatment at MOH, Jordan. Direct medical costs were estimated through micro and macro costing from the provider's perspective. Patients' and caregivers' costs were included to calculate direct non-medical costs. Human capital approach was employed to evaluate the productivity loss for indirect cost and premature death and potential year life loss was used to estimate the premature death cost.

    RESULTS: The total burden of hemodialysis at MOH, Jordan was USD17.70 million per year. Cost per session was $72 and the annual cost per patient was $9976. Direct medical cost was $7.20 million (41%) and direct non-medical cost was $2.02 million (11%). On the other hand, indirect cost (productivity loss) was $8.48 million (48%). All 722 patients on hemodialysis at MOH hospitals consumed 2.7% of MOH budget.

    CONCLUSIONS: Costs of treating and managing patients on hemodialysis at MOH hospitals in Jordan are substantial. Therefore, efforts should be taken to slow down the progress of renal failure to save resources and a comparative study with other modalities, such as continuous ambulatory peritoneal dialysis and kidney transplantation, should be considered.

    Matched MeSH terms: Efficiency
  14. Ng YG, Tamrin SB, Yik WM, Yusoff IS, Mori I
    Ind Health, 2014;52(1):78-85.
    PMID: 24292878
    Production agriculture such as harvesting in oil palm plantation has been frequently associated with MSD and significant loss of productivities. This study tends to evaluate from the viewpoint of health, the association between self-reported prevalence of musculoskeletal disorders and productivities; the impact of musculoskeletal disorders on productivity. A cross-sectional study was conducted among 143 harvesters in oil palm plantation. A general questionnaire was used to collect socio-demographic background data while Nordic Musculoskeletal Questionnaire was used to determine the prevalence of MSD. Expressed in 4 different indicators; daily harvesting quantity, efficiency score, sick leave and presenteeism, the productivity data were analysed for association. There is significant association between reported acute prevalence of MSD (within 7 d) and productivity loss in terms of presenteeism (χ(2)=5.088; p<0.05) as well as quantity of daily harvest (χ(2)=7.406; p<0.01). Logistic regression adjusted for age, BMI and smoking indicate that harvesters with MSD (past seven days) were more likely to be engaged in presenteeism (OR=2.87 95% CI=1.34, 6.14) and had lower daily productivity (OR=2.09 95% CI=1.02, 4.29) compared to harvesters without MSD (past 7 d). This study reveals that oil palm harvesters suffering acute MSD (for the past week) were likely to be still present to work and produce half lesser than their healthy counterparts. Thus, further study with comprehensive surveillance strategy is essential in order to determine the urgency or need of appropriate intervention.
    Matched MeSH terms: Efficiency*
  15. Yodfiatfinda, Mad Nasir, S., Zainalabidin, M., Md Ariff, H., Zulkornain, Y., Alias, R.
    MyJurnal
    This study investigates productivity growth and efficiency of Large Scale Enterprises (LSEs) in the
    Malaysian food processing industry. Malmquist productivity index of Data Envelopment Analysis (DEA) was employed to five-digit panel data for the period of 2000-2006. The findings suggest that average Technical Efficiency (TE) of the LSEs was 0.683 during the period of observation, which indicates that the industries are able to expand their output as much as 31.7 percent by using the same level of inputs. Total Factor Productivity (TFP) growth was positive at 7.3 percent, which is contributed by a Technical Efficiency Change (EFCH) of 4.3 percent and Technological Change (TECH) of 3.0 percent. Sub industries of manufacturing alcohol and wine as well as the processing and preserving of meat and meat products shows the highest productivity growth at 84.8 percent and 47.5 percent respectively. On the other hand, the sub industries of processing and preserving poultry and poultry products together with the manufacturing of chocolate are those which have the lowest TFP growth at -30.5percent and -14.8 percent respectively. The significant determinants of the productivity growth, with a positive relationship are public infrastructure, IT expenditure and foreign ownership, while energy price is the determinant with a negative relationship. The main contributor to the TFP growth of the LSEs in the Malaysian food processing industry is EFCH, however, the LSEs can also improve the TFP growth by moving forward the production frontier as well.
    Matched MeSH terms: Efficiency
  16. Wang Y, Cho SH, Lin HC, Ghoshal AG, Bin Abdul Muttalif AR, Thanaviratananich S, et al.
    Int Arch Allergy Immunol, 2018;177(1):69-79.
    PMID: 29874659 DOI: 10.1159/000489015
    BACKGROUND: Allergic rhinitis (AR), asthma, chronic obstructive pulmonary disease (COPD), and rhinosinusitis are common and little studied in the Asia-Pacific region.

    OBJECTIVES: We sought to investigate real-world practice patterns for these respiratory diseases in India, Korea, Malaysia, Singapore, Taiwan, and Thailand.

    METHODS: This cross-sectional observational study enrolled adults (age ≥18 years) presenting to general practitioners (GP) or specialists for physician-diagnosed AR, asthma, COPD, or rhinosinusitis. Physicians and patients completed study-specific surveys at one visit, recording patient characteristics, health-related quality of life (QoL), work impairment, and healthcare resource use. Findings by country and physician category (GP or specialist) were summarized.

    RESULTS: Of the 13,902 patients screened, 7,243 (52%) presented with AR (18%), asthma (18%), COPD (7%), or rhinosinusitis (9%); 5,250 of the 7,243 (72%) patients were eligible for this study. Most eligible patients (70-100%) in India, Korea, Malaysia, and Singapore attended GP, while most (83-85%) in Taiwan and Thailand attended specialists. From 42% (rhinosinusitis) to 67% (AR) of new diagnoses were made by GP. On average, patients with COPD reported the worst health-related QoL, particularly to GP. Median losses of work productivity for each condition and activity impairment, except for asthma, were numerically greater for patients presenting to GP vs. specialists. GP prescribed more antibiotics for AR and asthma, and fewer intranasal corticosteroids for AR, than specialists (p < 0.001 for all comparisons).

    CONCLUSIONS: Our findings, albeit mostly descriptive and influenced by between-country differences, suggest that practice patterns differ between physician types, and the disease burden may be substantial for patients presenting in general practice.
    Matched MeSH terms: Efficiency
  17. Mak, Joon-Wah
    MyJurnal
    The research mentorship programme is unique in that it is a planned journey undertaken by the mentor and mentee, preferably with well-defined milestones along the journey. During the journey, familiar landmarks will be pointed out by the mentor. In path-finding situations the experience and wisdom of the mentor and the critical appraisal of both mentor and mentee will contribute to learning from the encounter. In most mentor-mentee partnerships, a formal acceptance to the relationship, well-defined landmarks measuring progress in the journey, regular appraisal of the skills developed and acquired, and phased, judicious modification in the individual roles of that relationship will be required. Although there is no consensus on the elements of mentorship, there are some strategies which can contribute to the success of the relationship. Critical success factors include convergence of the research area within the broad expertise of the research mentor. The research mentor should have a proven research track record and is committed to serve in that official capacity. The research mentoring process is dynamic and characteristics of both mentor and mentee contribute to the robustness of that relationship. The mentee would have identified some attributes of the mentor that are desirable and is willing to work hard to achieve, build on, and improve upon. In the research setting endpoint measurements of success will be based on recognition of the research standing of the mentee, measurable outcomes such as number of papers in top tier journals, citation indices, etc. consultancies attracted as well as invitations to deliver plenaries in scientific conferences, patents filed and research findings translated and applied, and other measures of research productivity. In the pursuit of research excellence the mentee would have imbibed values of professionalism and ethics in research and would have constantly kept in mind that to be successful, the mentee would be able to excel beyond his mentor and that the next generation of researchers will seek mentorship from him.
    Matched MeSH terms: Efficiency
  18. Deng J, Zhang N, Ahmad F, Draz MU
    PMID: 31208141 DOI: 10.3390/ijerph16122130
    :The aim of this paper is to examine the impact of local government competition and environmental regulation intensity on regional innovation performance and its regional heterogeneity. Based on the theoretical mechanism of the aforementioned variables, this study uses the Chinese provincial panel data from 2001 to 2016. We use the super-efficiency data envelopment analysis (SE-DEA) to evaluate regional innovation performance. To systematically examine the impact of local government competition and environmental regulation intensity on regional innovation performance, we build a panel date model using the feasible generalized least squares (FGLS) method. The results indicate that: the regional innovation performance can be significantly improved through technological spillover; local governments compete for foreign direct investment (FDI) to participate in regional innovative production. Moreover, improvements in environmental regulation intensity enhance regional innovation performance through the innovation compensation effect. Our results show that the local governments tend to choose lower environmental regulation intensity to compete for more FDI, which has an inhibitory effect on regional innovation performance. Furthermore, due to regional differences in factor endowments, economic reforms and economic development levels in Chinese provinces, there exists a significant regional consistency in the impact of local government competition and environmental regulation intensity on regional innovation performance. Therefore, institutional arrangements and incentive constraints must be adopted to enhance regional innovation performance as well as to guide and foster the mechanism of green innovation competition among local governments. At the same time, considering the regional heterogeneity of local government competition and environmental regulation intensity affecting regional innovation performance, policy makers should avoid the "one-size-fits-all" strategy of institutional arrangements.
    Matched MeSH terms: Efficiency
  19. Lisbona A, Las Hayas A, Palací FJ, Frese M
    PMID: 34066535 DOI: 10.3390/ijerph18094947
    Background: The central point of this study is team initiative, and we analyzed how the theoretical model of antecedents and consequents of personal initiative contribute to explaining the relationship between team initiative and its antecedents and consequents. Authentic leadership is proposed as the antecedent, and the consequent leads to two types of outcomes, one of which is related to employee well-being, and the other is related to performance. However, little is known about what occurs in this relationship once the focus shifts to the team level. From a team perspective, with the label team initiative, we propose a collective construct defined similarly to personal initiative. This study shows the relationship between team initiative and its two consequences, team work engagement and performance, which are measured in terms of team productivity by the leader. Methods: Our model was tested in a field study with 344 employees of 79 work teams belonging to 55 organizations. Results: The analysis of the results using SEM and a regression analysis supported our main hypotheses. Conclusions: The finding that initiative is related to performance establishes the importance of initiative at the team level. It also emphasizes its impact on employee well-being through team work engagement and suggests the importance of authentic leadership.
    Matched MeSH terms: Efficiency
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