Displaying publications 1 - 20 of 93 in total

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  1. Impact of credit, liquidity, and systematic risk on financial structure: comparative investigation from sustainable production
    Sadiq M, Alajlani S, Hussain MS, Ahmad R, Bashir F, Chupradit S
    Environ Sci Pollut Res Int, 2022 Mar;29(14):20963-20975.
    PMID: 34748177 DOI: 10.1007/s11356-021-17276-x
    The role of risk assessment and capital structure is vital for the sustainable growth of firms and increasing the shareholders' wealth. This research explores the correlation between firm risk and capital structure using datasets from the sugar and cement sectors of Pakistan as a developing economy. This study is unique as it involved two firms of different nature (sugar firms operate seasonally while cement firms operate yearly) to view the real picture on the impact of risk and structure assessment on firms' credibility and shareholders' wealth. For this purpose, 15-year data (2000-2014) containing the financial statements of the target sectors were collected and the ANOVA analysis was applied with credit risk, liquidity risk, systematic risk, and firm size were used as the regressor variables, firm growth and dividend payout ratio as the control variables, and leverage as the regression variable. The findings showed that credit risk and liquidity risk are significantly correlated with leverage. This suggests that decision-makers pertaining to firms' risk and efficiency must focus more on risk to pursue a stronger and sustainable increase in shareholder wealth.
    Matched MeSH terms: Efficiency*
  2. Fulltext Approach in inputs & outputs selection of Data Envelopment Analysis (DEA) efficiency measurement in hospitals: A systematic review
    Zubir MZ, Noor AA, Mohd Rizal AM, Harith AA, Abas MI, Zakaria Z, et al.
    PLoS One, 2024;19(8):e0293694.
    PMID: 39141630 DOI: 10.1371/journal.pone.0293694
    The efficiency and productivity evaluation process commonly employs Data Envelopment Analysis (DEA) as a performance tool in numerous fields, such as the healthcare industry (hospitals). Therefore, this review examined various hospital-based DEA articles involving input and output variable selection approaches and the recent DEA developments. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was utilised to extract 89 English articles containing empirical data between 2014 and 2022 from various databases (Web of Science, Scopus, PubMed, ScienceDirect, Springer Link, and Google Scholar). Furthermore, the DEA model parameters were determined using information from previous studies, while the approaches were identified narratively. This review grouped the approaches into four sections: literature review, data availability, systematic method, and expert judgement. An independent single strategy or a combination with other methods was then applied to these approaches. Consequently, the focus of this review on various methodologies employed in hospitals could limit its findings. Alternative approaches or techniques could be utilised to determine the input and output variables for a DEA analysis in a distinct area or based on different perspectives. The DEA application trend was also significantly similar to that of previous studies. Meanwhile, insufficient data was observed to support the usability of any DEA model in terms of fitting all model parameters. Therefore, several recommendations and methodological principles for DEA were proposed after analysing the existing literature.
    Matched MeSH terms: Efficiency, Organizational*
  3. Fulltext Heuristics for multiobjective optimization of two-sided assembly line systems
    Jawahar N, Ponnambalam SG, Sivakumar K, Thangadurai V
    ScientificWorldJournal, 2014;2014:458959.
    PMID: 24790568 DOI: 10.1155/2014/458959
    Products such as cars, trucks, and heavy machinery are assembled by two-sided assembly line. Assembly line balancing has significant impacts on the performance and productivity of flow line manufacturing systems and is an active research area for several decades. This paper addresses the line balancing problem of a two-sided assembly line in which the tasks are to be assigned at L side or R side or any one side (addressed as E). Two objectives, minimum number of workstations and minimum unbalance time among workstations, have been considered for balancing the assembly line. There are two approaches to solve multiobjective optimization problem: first approach combines all the objectives into a single composite function or moves all but one objective to the constraint set; second approach determines the Pareto optimal solution set. This paper proposes two heuristics to evolve optimal Pareto front for the TALBP under consideration: Enumerative Heuristic Algorithm (EHA) to handle problems of small and medium size and Simulated Annealing Algorithm (SAA) for large-sized problems. The proposed approaches are illustrated with example problems and their performances are compared with a set of test problems.
    Matched MeSH terms: Efficiency*
  4. Fulltext Stochastic Frontier approach and Data Envelopment Analysis to Total Factor Productivity and efficiency measurement of Bangladeshi rice
    Hossain MK, Kamil AA, Baten MA, Mustafa A
    PLoS One, 2012;7(10):e46081.
    PMID: 23077500 DOI: 10.1371/journal.pone.0046081
    The objective of this paper is to apply the Translog Stochastic Frontier production model (SFA) and Data Envelopment Analysis (DEA) to estimate efficiencies over time and the Total Factor Productivity (TFP) growth rate for Bangladeshi rice crops (Aus, Aman and Boro) throughout the most recent data available comprising the period 1989-2008. Results indicate that technical efficiency was observed as higher for Boro among the three types of rice, but the overall technical efficiency of rice production was found around 50%. Although positive changes exist in TFP for the sample analyzed, the average growth rate of TFP for rice production was estimated at almost the same levels for both Translog SFA with half normal distribution and DEA. Estimated TFP from SFA is forecasted with ARIMA (2, 0, 0) model. ARIMA (1, 0, 0) model is used to forecast TFP of Aman from DEA estimation.
    Matched MeSH terms: Efficiency*
  5. Assessing the efficiency and total factor productivity growth of the banking industry: do environmental concerns matters?
    Shair F, Shaorong S, Kamran HW, Hussain MS, Nawaz MA, Nguyen VC
    Environ Sci Pollut Res Int, 2021 Apr;28(16):20822-20838.
    PMID: 33405126 DOI: 10.1007/s11356-020-11938-y
    This paper investigates the efficiency and total factor productivity (TFP) growth of the Pakistani banking industry and determines the impact of risk and competition on the efficiency and TFP growth. The data envelopment analysis (DEA)-based Malmquist productivity index is used to measure efficiency and TFP growth of the Pakistani banking industry. The generalized method of moments (GMM) model is applied to observe the impact of risk and competition on efficiency and TFP growth. The motivation behind the use of GMM model is its ability to overcome unobserved heterogeneity, autocorrelation, and endogeneity issues. The results of the study show that the credit and liquidity risks have positive while insolvency risk has negative effect on the efficiency and TFP growth. The competition leads to improve technological efficiency but declines the technical efficiency growth. Among other explanatory variables, operational cost management, banking sector development, GDP growth rate, and infrastructure development show significant relationships with various efficiencies and TFP growth. The banks also facilitate for the purchase of carbon-intensive products in order to reduce carbon emissions. Strong banking development successfully allocate their financial resources for the development of energy-efficient technology while banking sector development is found to be negatively related with environmental sustainability. The strong banking sector possesses a significant negative influence on carbon reduction and environmental degradation.
    Matched MeSH terms: Efficiency*
  6. Impact of environmental regulations on the industrial eco-efficiency in China-based on the strong porter hypothesis and the weak porter hypothesis
    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*
  7. Fulltext The COVID-19 impact on air condition usage: a shift towards residential energy saving
    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
  8. New quality productivity and environmental innovation: The hostile moderating roles of managerial empowerment and board centralization
    Yue S, Bajuri NH, Khatib SFA, Lee Y
    J Environ Manage, 2024 Nov;370:122423.
    PMID: 39243639 DOI: 10.1016/j.jenvman.2024.122423
    As new quality productivity (NQP) emerges as a rising star of productivity that can effectively leverage technological innovation and sustainability, this study aims to explore the relationship between NQP and environmental innovation, with a particular focus on the roles of managerial empowerment and board centralization within the context of China A-share listed companies. Utilizing the entire sample of China A-share market from 2013 to 2022, the study analyses the effectiveness of various dimensions reflecting innovation engagement among Chinese listed companies. For measuring NQP, the entropy method is employed to calculate the weights. By controlling for industry and year effects, the study examines both the main and moderating effects of managerial empowerment and board centralization. Additionally, heterogeneity tests, robustness checks, and two-stage least squares (2SLS) estimation were conducted to address endogeneity concerns. The results demonstrate that NQP significantly enhances environmental innovation, with managerial empowerment supporting this positive effect and board centralization obstructing it. The positive effect of NQP is particularly evident in state-owned enterprises, while in heavily polluting industries, the anticipated positive moderating effect of top managers disappears due to strict regulatory environments. Furthermore, board centralization negatively moderates environmental innovation, especially in lightly polluting sectors where internal governance is more sensitive. The study underscores the importance for policymakers to tailor regulations that balance managerial empowerment and board centralization to enhance the transformation of NQP into environmental innovation. Future research is needed to further investigate different background settings and the mechanisms through which NQP influences sustainability.
    Matched MeSH terms: Efficiency
  9. Technical efficiency and its influencing factors in Malaysian hospital pharmacy services
    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*
  10. Prediction of work productivity outcomes by identifying critical risk factors among garment industry workers
    Javed I, Md Dawal SZ, Nukman Y, Ahmad A
    Int J Occup Saf Ergon, 2022 Dec;28(4):2238-2249.
    PMID: 34556003 DOI: 10.1080/10803548.2021.1984673
    Work productivity is one of the most important economic measures in the manufacturing industry. However, the physical, psychosocial and individual risk factors of an industrial work environment affect workers' physical or mental health, resulting in work productivity loss, absenteeism and presenteeism. Therefore, this study aims to identify the most critical risk factors and develop statistical models for predicting work productivity loss, absenteeism and presenteeism of garment industry workers. A sample of 224 sewing machine operators was taken for data collection through observation and self-reported studies. The results indicated that the average work productivity loss, absenteeism and presenteeism was 38.21, 2.35 and 37.23%, respectively. Finally, the statistical models of work productivity loss, absenteeism and presenteeism was developed using multiple linear regression with precision of 69.9, 53.7 and 84.0%, respectively. Hence, this study will help garment industries to improve their work productivity by taking initiatives based on the developed models.
    Matched MeSH terms: Efficiency*
  11. Fulltext A discrete event simulation model for evaluating the performances of an m/g/c/c state dependent queuing system
    Khalid R, Nawawi MK, Kawsar LA, Ghani NA, Kamil AA, Mustafa A
    PLoS One, 2013;8(4):e58402.
    PMID: 23560037 DOI: 10.1371/journal.pone.0058402
    M/G/C/C state dependent queuing networks consider service rates as a function of the number of residing entities (e.g., pedestrians, vehicles, and products). However, modeling such dynamic rates is not supported in modern Discrete Simulation System (DES) software. We designed an approach to cater this limitation and used it to construct the M/G/C/C state-dependent queuing model in Arena software. Using the model, we have evaluated and analyzed the impacts of various arrival rates to the throughput, the blocking probability, the expected service time and the expected number of entities in a complex network topology. Results indicated that there is a range of arrival rates for each network where the simulation results fluctuate drastically across replications and this causes the simulation results and analytical results exhibit discrepancies. Detail results that show how tally the simulation results and the analytical results in both abstract and graphical forms and some scientific justifications for these have been documented and discussed.
    Matched MeSH terms: Efficiency, Organizational/statistics & numerical data*
  12. Fulltext The fallacy of the equity-efficiency trade off: rethinking the efficient health system
    Reidpath DD, Olafsdottir AE, Pokhrel S, Allotey P
    BMC Public Health, 2012;12 Suppl 1:S3.
    PMID: 22992346 DOI: 10.1186/1471-2458-12-S1-S3
    In the health systems literature one can see discussions about the trade off between the equity achievable by the system and its efficiency. Essentially it is argued that as greater health equity is achieved, so the level of efficiency will diminish. This argument is borrowed from economics literature on market efficiency. In the application of the economic argument to health, however, serious errors have been made, because it is quite reasonable to talk of both health equity being a desirable output of a health system, and the efficient production of that output. In this article we discuss notions of efficiency, and the equity-efficiency trade off, before considering the implications of this for health systems.
    Matched MeSH terms: Efficiency, Organizational*
  13. Fulltext Stochastic frontier model approach for measuring stock market efficiency with different distributions
    Hasan MZ, Kamil AA, Mustafa A, Baten MA
    PLoS One, 2012;7(5):e37047.
    PMID: 22629352 DOI: 10.1371/journal.pone.0037047
    The stock market is considered essential for economic growth and expected to contribute to improved productivity. An efficient pricing mechanism of the stock market can be a driving force for channeling savings into profitable investments and thus facilitating optimal allocation of capital. This study investigated the technical efficiency of selected groups of companies of Bangladesh Stock Market that is the Dhaka Stock Exchange (DSE) market, using the stochastic frontier production function approach. For this, the authors considered the Cobb-Douglas Stochastic frontier in which the technical inefficiency effects are defined by a model with two distributional assumptions. Truncated normal and half-normal distributions were used in the model and both time-variant and time-invariant inefficiency effects were estimated. The results reveal that technical efficiency decreased gradually over the reference period and that truncated normal distribution is preferable to half-normal distribution for technical inefficiency effects. The value of technical efficiency was high for the investment group and low for the bank group, as compared with other groups in the DSE market for both distributions in time-varying environment whereas it was high for the investment group but low for the ceramic group as compared with other groups in the DSE market for both distributions in time-invariant situation.
    Matched MeSH terms: Efficiency, Organizational/statistics & numerical data*
  14. Fulltext A Cobb Douglas stochastic frontier model on measuring domestic bank efficiency in Malaysia
    Hasan MZ, Kamil AA, Mustafa A, Baten MA
    PLoS One, 2012;7(8):e42215.
    PMID: 22900009 DOI: 10.1371/journal.pone.0042215
    Banking system plays an important role in the economic development of any country. Domestic banks, which are the main components of the banking system, have to be efficient; otherwise, they may create obstacle in the process of development in any economy. This study examines the technical efficiency of the Malaysian domestic banks listed in the Kuala Lumpur Stock Exchange (KLSE) market over the period 2005-2010. A parametric approach, Stochastic Frontier Approach (SFA), is used in this analysis. The findings show that Malaysian domestic banks have exhibited an average overall efficiency of 94 percent, implying that sample banks have wasted an average of 6 percent of their inputs. Among the banks, RHBCAP is found to be highly efficient with a score of 0.986 and PBBANK is noted to have the lowest efficiency with a score of 0.918. The results also show that the level of efficiency has increased during the period of study, and that the technical efficiency effect has fluctuated considerably over time.
    Matched MeSH terms: Efficiency, Organizational/economics*
  15. Fulltext Improvement of urgent tests laboratory turnaround time through laboratory lean management
    Salbiah Isa, Rohayu Hami, Hanita Hashim, Mohd Nizam S., Harani MS., Sairi S., et al.
    Malaysian Journal of Medicine and Health Sciences, 2020;16(102):15-21.
    MyJurnal
    Introduction: Laboratory turnaround time (LTAT) is considered a reliable indicator of the quality and efficiency of a laboratory’s service. LTAT achievement, particularly of urgent tests, remains unsatisfactory and challenging in many clinical laboratories especially in tertiary health care centres with high workload and restricted resources. The unresolved issue of unsatisfactory urgent renal profile (RP) LTAT below the standard performance goal prompted our interest to improve laboratory’s handling of urgent test request. We thus implemented the Lean principle in the management of urgent test requests using urgent RP as the test model. Methods: The implementation of laboratory Lean involved 4 steps process; (1) Development of burning platform for change (2) Identification of waste (3) Plan- ning and implementation of control measures (4) Measuring, monitoring, and sustaining the improvement. Urgent RP LTAT and the percentage of the request met the time requirement determined based on the data extracted from laboratory information system (LIS) before and after the implementation of Lean was compared to assess the effec- tiveness. Results: Urgent RP LTAT after the implementation of Lean was reduced i.e 35 min (before) vs 31 min (after), with the percentage of LTAT met the time requirement was significantly increased above the set target i.e 82.8% (before) to 93.5% (after) with P-value = 0.001. Conclusion: Implementation of innovation using Lean management has significantly improved urgent RP LTAT achievement, thus optimised urgent test management in our Chemical Pathology laboratory. Lean is a strongly recommended strategy to improve urgent test LTAT especially in laboratories with restricted resources.
    Matched MeSH terms: Efficiency; Efficiency, Organizational
  16. The influence of physiological research on the achievement of comfort and efficiency in an equatorial climate
    GLASER EM
    Med J Malaya, 1957 Mar;11(3):164-70.
    PMID: 13476992
    Matched MeSH terms: Efficiency*
  17. Fulltext Data envelopment analysis for ambulance services of different service providers in urban and rural areas in Ministry of Health Malaysia
    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*
  18. Fulltext Improving layout and workload of manufacturing system in small and medium enterprise (SME) using delmia quest
    Dzullijah Ibrahim, Alifah Alyana, Hasrul Hafizuddin Hassim, Yusli Yaakob, Hamid Yusuf
    ESTEEM Academic Journal, 2018;14(1):83-92.
    MyJurnal
    A facility layout can be defined as an arrangement of the equipment area in the
    industry or organization of the factory. The main objective of this project was to
    improve the existing layout in SMEs using DELMIA QUEST simulation. In this
    project, new layouts are proposed to reduce the waiting time in a production
    line and increase the productivity. This study focused on packaging production
    line of a coffee manufacturing company located in Tasek Gelugor Pulau
    Pinang. The problems identified in this production line are limited working
    space, some processes overlap and are stuck due to high demands of the
    products. This results in high lead time. The existing layout was studied and
    simulated to improve certain parameters such as labour, machines, and shape
    of the layout. The workstations were repositioned in the proposed layout before
    undergoing simulation process using DELMIA QUEST software. From the
    simulation results, the significant improvement was determined and the best
    layout was chosen in terms of machines utilization and total output. Based on
    this, a new layout is proposed to increase the productivity capacity and to meet
    customers’ demands. Simulation data of the proposed layout showed its
    productivity had increased to approximately 41.5%.
    Matched MeSH terms: Efficiency
  19. Fulltext The use of dgDocSPACE in personal file management: a case study at Majlis Perbandaran Port Dickson (MPPD)
    Rafidah Kamarudin, Azura Abd Jamil @ Kamarudzzaman, Albakri Mohammad, Norlis Osman, Zaidatulhusna Mohd Isnani
    Jurnal Inovasi Malaysia, 2020;3(2):26-41.
    MyJurnal
    Hari Bertemu Pelanggan (HBP) is an essential event of the Port Dickson Municipal Council (MPPD) which is held twice a year for staff to review their Personal Files. The problem faced by the staff at the Human Resource Department (JPSM) MPPD is to handle staff Personal Files from the file room to the HBP location during the event. Risks such as loss and damage of Personal Files and the high cost in transferring staff Personal Files lead to the development of innovation known as dgDocSPACE. The implementation of the innovation has successfully reduced the operating cost, increased productivity, shortened time for reviewing Personal Files and increased customer satisfaction.
    Matched MeSH terms: Efficiency
  20. Fulltext Initiative in Work Teams: Lever between Authentic Leadership and Results
    Lisbona A, Las Hayas A, Palací FJ, Frese M
    Int J Environ Res Public Health, 2021 05 06;18(9).
    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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