Improve Management Performance Research Articles

A GIS-based suitability analysis for siting a waste-to-energy power plant in Kaduna, Nigeria

The success of any waste management system requires accurate and up-to-date data on quantity, and composition of waste. Waste generation data from households are needed to address issues relating to municipal solid wastes such as management methods, performance improvement, policy, regional and local planning, administration, cost accounting, design and operation of landfill facilities, and environmental quality. This study carried out a suitability analysis for siting a waste-to-energy power plant in Kaduna using GIS and remote sensing techniques with the specific objectives of identifying existing waste dumpsite in the study area, identifying other factors needed for waste-to-energy plant in the area, and identifying the most suitability site of waste-to-energy in Kaduna. The slop map of the study area was created using the Shuttle Radar Topographic Mission (SRTM). In the ArcGIS environment, Euclidean distance analysis was performed on institutions, rivers, dumpsites, roads, markets, transmission lines, and electricity substations. The waste-to-energy power plant suitability map was created using a multi-criteria technique by overlaying the datasets. The waste-to-energy-power-plant suitability map was made by combining the criteria. Dogon Dawa, Sabon Birinin Jaji, Ganga, Buruku, chikun, Dokwa, ikara, and Kuban are the best sites. The results of the site suitability assessment further revealed that the Makafia local government, located in the city's northern outskirts, was the most suitable area for locating the waste-to-energy power plant, covering 73686 hectares, or 26% of the total area. In addition, the map lays the groundwork for decision-makers to locate a waste-to-energy generating plant. This study shows how decision-making about solid waste management may benefit from the use of geospatial technology. Additionally, it is advised that before approving the placement of a waste-to-energy power plant, decision-makers in the study region refer to it as a reference.

Deploying Value Engineering Strategies for Ameliorating Construction Project Management Performance: A Delphi-SWARA Study Approach

This study was carried out to rank and prioritize the aspects that have been shown to have an impact on the improvement of construction project management (CPM) performance based on value engineering. This analysis was carried out with the Iranian construction industry’s current situation in mind. The respondents and the Delphi panel were chosen from among Iranian managers and project management professionals with a focus on building projects. These professionals had more than 20 years of experience working on international projects, and in addition to their expertise in project management, they also understood the principles of earned value analysis and value engineering. Thus, the components extracted from the literature review were used as the basis for designing a structured interview based on 39 important effective components previously determined as identified factors. The questionnaires were distributed among the experts, and the returned questionnaires were analysed using the SWARA technique to rank the weight and importance of the factors. Using the SWARA method, the opinions of the expert panel members consisting of 20 engineers and a semi-structured questionnaire was used to gather expertise in project management and managers, with a focus on Iranian CPM. As shown by the results, stakeholder management, time value of money, and worth, allocated the first to the third rank to themselves with respective weights of 0.104, 0.103, and 0.087. The sub-criteria of cost objective, function objective, and value objective were in the 37th to 39th ranks with respective weights of 0.00050, 0.00033, and 0.00021.

시니어 외식창업자의 개인적역량이 경영성과와 경영만족도에 미치는 영향에 관한 연구

The purpose of this study is to investigate the effect of senior food service entrepreneur’s personal competency on management performance and management satisfaction. To achieve this purpose, a research hypothesis was presented and a research model was derived. For statistical analysis, the SPSS 25.00 statistical package was used and frequency analysis, factor analysis, reliability analysis, and regression analysis were performed. The results are as follow:First, senior food service entrepreneur’s personal competency had a positive (+) effect on management performance. Second, senior food service entrepreneur’s personal competency had a positive (+) effect on management satisfaction. Third, senior food service entrepreneur’s management performance had a positive (+) effect on management satisfaction. This study is expected to help understanding personal competency of senior food service entrepreneur and prioritizing factors when improving management performance and management satisfaction.

The Role of Social Capital and Technology Adaptation: A Performance Study of Water Supply and Sanitation Managers

This research aims to describe the role of social capital, technology adaptation, and the performance of group administrators at Kpspams in East Java Province. The location of this research was 170 Kpspams throughout the East Java region with reasonable functioning classifications. Kpspams in the East Java region was chosen as the research location because East Java is the province with the highest Kpspams functional status nationally. The time required to collect data is approximately 2 (two) months. The population in this study were Kpspams administrators throughout the East Java region who had an excellent functioning classification totaling 1016. The sampling technique used a probability sampling technique, a proportional random sampling method based on the same proportion for each group, so the sample determined in this study was 170 Kpspams members—East Java region. The research results show that the social capital variable was not able to significantly increase the value of each indicator of the management performance variable but technology adaptation has a significant positive effect on management performance as a consideration in improving management performance and sustainability of Kpspams in East Java Province. The contribution of this research is expected to be an input to overcome a problem that is being faced, especially in the aspect of program success at Kpspams in East Java Province and its development. The advice that can be given in this research is the development of several previous studies with distinctive characteristics not found in previous research, namely giving rise to a new dimension in the form of technological adaptation as a variable in the Kpspams research object.

Effectiveness Of The Audit Function As An Internal Control Tool

This research aims to determine the effectiveness of the audit function as an internal control tool. Audit as an internal control tool is very important for the efficiency and productivity of company operations. Internal audit is a process in which internal auditors review and assess the internal control systems and procedures used by an organization. Internal audits can assist in carrying out fixed asset acquisition procedures, improve management performance, and help companies maintain internal control. The internal audit function also makes it possible to measure and assess how effective other internal control components are, assisting management in implementing effective internal control. The results of this research are a very important tool for management to ensure that company operations run well and efficiently.

Exploring the Optimisation of Enterprise Performance Management in the Context of Artificial Intelligence

The impact of artificial intelligence on enterprises has gradually penetrated the human resource management of enterprises, and artificial intelligence is accelerating the excess of traditional human resources to predictive human resources, which also requires more talents in the field of artificial intelligence to devote themselves to enterprises. Through literature review and relevant cases, this paper finds that the current enterprise performance management has the problems of backward performance appraisal methods, lack of effective performance communication, and insufficient use of performance evaluation results. It is found that with the help of AI, enterprises can use big data and algorithms, enterprises can establish a more scientific performance management system, use AI to select appropriate performance management tools, and finally get effective performance appraisal results. Enterprises can use AI coaching and transparent performance feedback to promote performance communication and make performance results can play a role in promoting employee performance improvement. This paper concludes that the reasonable use of AI by enterprises can solve many existing problems of their performance management and can save time and labor costs for enterprises. Therefore, enterprises need to seize the opportunities brought by AI and pay attention to the research of AI technology to help improve performance management.

Financial Impact Of Medical Waste Management In Hospital "X" Surabaya

The increase in the volume of medical waste is in line with the improvement of medical waste management performance and compliance with government regulations. Hospitals have another challenge in medical waste management with higher treatment costs that have a direct impact on financial aspects. Based on these problems, this study aims to evaluate medical waste management by comparing the level of hospital compliance with regulations and technical aspects, assessing the generation of medical waste and assessing the financial aspects of recycled medical waste management. The research method is structured observation to collect information and facts in the field so that a systematic description can be accomplished. The results of this study show that X Hospital, Surabaya has complied with the laws and regulations. The results of the study of medical waste generation obtained an average generation in the inpatient room of 88.20 Kg / day and the average waste generation per inpatient patient of 1.15 Kg / day and for outpatients of 0.05 Kg / day. The composition of recycled waste is 18.94%, infectious waste is 57.50%, pharmaceutical packaging waste (Hazardouse waste) is 10.90%, cytotoxic waste is 0,06% and sharps waste is 1.25%. The financial analysis generated from recycling activities on used hazardouse waste packaging, used syringes, used infusion bottles other than blood and/or body fluid infusions, and/or used hemodialysis fluid packaging obtained a NPV value > 0 and BCR value = 1.98 > 1, so this investment is economically feasible and the investment plan is recommended to be implemented.

Implementation of safety management system in nickel mining: A case of PT Putra Perkasa Abadi Job Site MLP in 2023

Background: The audit of the Mineral and Coal Mining Safety Management System aims to obtain an overview of the level of implementation of the mineral and coal mining management system, assess the capacity of the mining system to ensure compliance with the legislative requirements, evaluate the effectiveness of mining systems in meeting the set targets and identify the potential application of the MSMS to be enhanced at the P.T. Putra Perkasa Eternal Site of PT Makmur Lestari Primatama from the period January 1, 2023 until December 2023. The purpose of this study was to find out the implementation of the safety management system in nickel mining of PT. Putra Perkasa Abadi Job Site MLP in 2023. Method: This type of research is quantitative descriptive. The research conducted in December 2023. Compliance measurements are carried out on 7 elements consisting of Policy, Planning, Organization and Personnel, Implementation, Monitoring, Evaluation and Follow-up Action, Documentation, and Management Review and Performance Improvement. Data collection methods are carried out with interviews, observations, and document explanations. Results: The policy element achieved 74% compliance from the maximum achievable value. Although the maximum value has not been reached, it still shows a good level of compliance. The planning element achieves 59% compliance from the maximum achievable value. Further evaluation is needed to understand the factors that lead to this achievement. Organizational and staff elements reach 51% compliance from the maximum value. Implementation elements reach 38% compliance. There is great potential for improvement in the implementation of this element. The monitoring, evaluation, and follow-up elements reached 46% compliance. More effort is needed to improve performance in this regard. Despite low maximum values, documentation elements reach 58% compliance, indicating a good focus on document management but still requiring optimization. Management review elements and performance improvements reached 46% compliance. This aspect can be a focus of improvement to improve overall performance. Overall, the management system achieved 49% compliance from the maximum value. Conclusion: In general, PT Putra Perkasa Abadi Job Site MLP has procedures and mechanisms that support the creation of a mining safety system. However, improvements are needed that can be directed to elements with lower compliance scores. It requires optimization of each element consisting of Policy, Planning, Organization and Personnel, Implementation, Monitoring, Evaluation and Follow-up, Documentation, as well as management review and performance improvement. Data collection methods were carried out using interviews, observation and document review.

The Impact of Job Satisfaction on Brand Loyalty in Franchise Hair Shops

While the economic level is improved due to the industrial development of modern society, the beauty industry consists of human resources with skilled technology, and securing it leads to an increase in the economic power of the beauty industry and the success or failure of management. Beauty service is an industry that is highly dependent on human resources and deals with the job satisfaction of its members as an important issue. Studies on the factors of job satisfaction and loyalty of beauty workers have been reported, but studies examining the relationship between job satisfaction of franchise hair shops and brand loyalty are relatively limited. In this study, a total of 664 data from franchise hair salon workers were applied to the empirical analysis to investigate the effect of job satisfaction of franchise hair shops on brand loyalty, and SPSS 22.0 was used to analyze the research problem, and positive results were derived for each factor. Based on the research results, it aims to find ways to accumulate empirical data and improve management performance in the field of hair care, and it is also necessary and meaningful to provide implications for subsequent research in the field of beauty.

Assessment of the impact of integrated disease surveillance and response system on surveillance management at healthcare facilities in Pakistan.

Disease surveillance is very crucial especially in high vulnerability settings like Pakistan. However, surveillance and outbreak response management are still evolving in the country and research studies are needed to assess the existing system. To assess the impact of integrated disease surveillance and response system (IDSRS) implemented by the provincial government to strengthen infectious disease surveillance and reporting in 6 districts of Pakistan in 2016. A baseline cross-sectional assessment of health facilities and the healthcare workforce was conducted in 2016 to identify needs and gaps in public sector health facilities and the health system of 6 selected districts of Khyber Pakhtunkhwa Province, Pakistan. This was followed by a 2018 endline survey of the same facilities using the same variables. Overall, there was improvement in district management and facility level performance (χ2 (1, 314) = 21.19, P < 0.001, V = 0.26). District level management improved significantly in areas with relatively lower Gross Domestic Product (GDP)? χ2(1, 154) = 30.41, P <0.001, V = 0.44). Facilitation domain variables improved in the lower GDP districts (χ2 (1, 74) = 5.76, P = 0.016, V = 0.28) and showed counterintuitive deterioration (χ2 (1, 74) = 4.80, P = 0.028, V = 0.25) in relatively higher GDP areas. IDSRS is effective in improving surveillance and response systems, however, its effectiveness appears to depend on locale-specific economies and can be enhanced by modifying the implementation approach. Better empowerment of the local workforce can contribute to such improvement.

Employee Performance Management: The Impact of Competing Goals, Red Tape, and PSM

Employee performance management (PM) can benefit employees, organizations, and wider stakeholders, but it is often done poorly, and public administrations pose contextual constraints to doing it well. It has inherent tensions between the goal of accountability and development, is complex, and requires alignment across both a formal administrative level and an informal psychosocial level. In public administration, three contextual factors add complexity and difficulty—competing goals, red tape and public service motivation. This study examines how line managers—a neglected group in PM studies—“do” performance management in practice. Data were collected via interviews with public sector managers in the “new public management” influenced New Zealand public sector. Competing goals and red tape make PM difficult, offer little accountability, and inhibit employee development, which often must run parallel to formal practices. They also limit managerial skill development. Failings in one practice, such as setting employee goals, impact subsequent formal and informal practices. Public service motivation provides workarounds. To work well, modern performance management could be reconstrued less as a compliance activity and more as a psychosocial process reinforced by a formal, prescribed organization system. Practical insights into barriers and opportunities, to improve performance management, are identified.

Distributed Learning Mechanisms for Anomaly Detection in Privacy-Aware Energy Grid Management Systems

Smart grids have become an emerging topic due to net-zero emissions and the rapid development of artificial intelligence (AI) technology focused on achieving targeted energy distribution and maintaining operating reserves. In order to prevent cyber-physical attacks, issues related to the security and privacy of grid systems are receiving much attention from researchers. In this paper, privacy-aware energy grid management systems with anomaly detection networks and distributed learning mechanisms are proposed. The anomaly detection network consists of a server and a client learning network, which collaboratively learn patterns without sharing data, and periodically train and exchange knowledge. We also develop learning mechanisms with federated, distributed, and split learning to improve privacy and use Q-learning for decision-making to facilitate interpretability. To demonstrate the effectiveness and robustness of the proposed schemes, extensive simulations are conducted in different energy grid environments with different target distributions, ORRs, and attack scenarios. The experimental results show that the proposed schemes not only improve management performance but also enhance privacy and security levels. We also compare the management performance and privacy level of the different learning machines and provide usage recommendations.

Development of Engineering Team Performance Management Applications in Apartments Using Extreme Programming Methods

&#x0D; &#x0D; &#x0D; &#x0D; This research aims to analyze and develop a performance management application for a team of technicians in an apartment using the Extreme Programming (XP) method. The initial phase involved in-depth data collection on the technician team's needs, challenges, and dynamics. Next, the application was developed with XP principles, providing features such as task tracking, job assignments, real-time status updates, and daily performance reporting. The final stage involved analyzing technology acceptance through internal trials and collecting feedback from the technician team and potential users. Technology acceptance simulations with data showed that the app successfully coped with operational scenarios and received positive feedback. The application was tested by users, with the number of users being 50% of the total number of users, with a user satisfaction rate of 85%. The conclusions of this study indicate that the engineering team successfully accepted the application, has the potential to improve performance management efficiency, and contributes to the understanding of the application of XP in application development for the property industry.&#x0D; &#x0D; &#x0D; &#x0D;

PERANCANGAN SISTEM PENGURUSAN PRESTASI PENILAIAN INTERIM BAGI PRESTASI PEGAWAI PERKHIDMATAN PENDIDIKAN BERTERASKAN MODEL QUADRUPLE HELIX [DESIGN OF INTERIM PERFORMANCE MANAGEMENT SYSTEM FOR EDUCATIONAL SERVICE EMPLOYEES BASED ON THE QUADRUPLE HELIX MODEL

The performance evaluation management system is the proper handling of employee assessments, allowing workers to reach their full potential in their jobs. Performance evaluation is the process where employers assess employees' job performance to encourage high-quality productivity by rewarding good employees and assisting in improving performance when needed. Therefore, this article aims to enhance the quality of performance in educational service officers (PPP) by using the relevant concept of interim assessment integrated into the existing performance assessment. Transforming performance assessment on an interim basis can optimize the measurement and evaluation of educational service officers in a more structured and systematic manner. This paper discusses the interim performance evaluation process to enhance competence and maximize the abilities of educational service officers, especially in the education sector. The article also discusses the expected transformation of interim employee performance assessment for education services based on the Quadruple Helix Model. This model is highly suitable for adapting into performance management planning and assessment transformation systems to enhance the competence of employees, as it involves interactions among government, industry, community, and higher education institutions in improving performance management.

Application of Balanced Scorecard in Performance Evaluation of Educational Management

Abstract Good or lousy school education management is closely related to students’ growth, so research on the improvement of education management performance has become a hot topic. Taking School H as an example, this study utilizes the balanced scorecard to construct a system for evaluating school education performance at four levels: financial, customer satisfaction, internal operation processes, and learning and growth. Based on this basis, the weights of the educational management performance evaluation indicators at all levels are calculated by combining the entropy method and hierarchical analysis method, and the comprehensive evaluation scores of all indicators are derived. In addition, the multiple concurrent causal relationships and realization paths of the high-level development of educational management are also explored using the qualitative comparative analysis model. The results show that the evaluation score of educational management quality is 4.108, and the scores of each dimension of the secondary indexes are 4.102, 4.05, 4.13, and 4.15, respectively, which are above 4, indicating that the quality of educational management in the sample universities is good. This study provides the implementation steps of balanced scorecard performance evaluation for colleges and universities and, at the same time, provides a reference for other colleges and universities’ performance evaluations.

VIZUELIZACIJA POSLOVNIH IZVEŠTAJA U FUNKCIJI UNAPREĐENJA PERFORMANSI UPRAVLJANJA

Visualization of business reports is a key component of modern management, providing a tool for transforming complex data into easy-to-understand and interactive displays. In a world where the amount of available information is growing exponentially, the ability to effectively interpret and use that information becomes crucial to making quick and informed decisions. Visualization of business reports not only improves the transparency and accessibility of data, but also significantly contributes to the improvement of management performance within the organization. This paper explores the role of visualization in improving decision-making, optimizing communication and supporting more agile and informed management. Through an analysis of key techniques, tools and applications, best practices for effective implementation of visualization in the management process are explored. Therefore, the results of the research can benefit the understanding of the importance of visualizing business reports, helping organizations to become more competitive, reactive and adaptable in a dynamic business environment.

Corporate governance determinants of capital structure: Evidence from manufacturing firms on the Ghana Stock Exchange

This study examines the impact of corporate governance determinants on the capital structure of manufacturing firms listed on the Ghana Stock Exchange (GSE). Using a purposive sampling of 15 manufacturing firms, we collect secondary data for 14 years. We employ a system generalized method of moments (GMM) approach to address endogeneity issues. Apart from firms using more short-term debt financing than long-term debt, we report a significant positive relationship between managerial and institutional ownership and capital structure. There is a statistically significant and positive relationship between ownership concentration on both the short- and long-term debt ratios. Regarding company financial management, the study offers several recommendations and practical implications. Our findings have implications for improved management performance and corporate governance policies that lead to value-relevant capital structure decisions. The study also provides empirical support for the idea that firms might benefit from reduced agency costs and lower cost of capital if they implement appropriate corporate governance mechanisms. We provide support for the agency and pecking order theories. Future research could consider broader corporate governance variables and optimal capital structure.

Leveraging Marketing Automation to Enhance Customer Relationship Management and Improve Management Performance in MSME B2B

This study aimed to explore the impact of using marketing automation in customer relationship management strategies and ultimately improving management performance in the context of B2B Micro, Small and Medium Enterprises (MSMEs). The research method involved primary data collection using a quantitative approach and a non-probability sampling method, specifically purposive sampling, on 105 samples that actively use marketing automation tools. The analysis technique used was Structural Equation Modeling (SEM) with the help of Lisrel 8.80 software. The results show that marketing automation has a positive and significant impact on B2B customer relationship management, with reach of message as the most dominant indicator, contributing 65.61%. Furthermore, B2B customer relationship management also has a positive and significant effect on Marketing Performance, where improving the quality of customer relationships is the most dominant indicator at 77.4%, and the most dominant indicator in shaping marketing performance is having a larger market, accounting for 42.25%. The conclusion of this study is that the use of marketing automation in customer relationship management strategies can improve the marketing performance of B2B-based MSMEs.

Integrating Employee Feedback into the Continuous Improvement of Performance Management

Integrating Employee Feedback into the Continuous Improvement of Performance Management

A Review of Performance Management in State-owned Enterprises and Private Enterprises in China

In order to improve profits, the theory of enterprise performance management has formed a corresponding theoretical framework and system. Enterprises can improve performance management methods based on their own situation. This research compares the differences between state-owned enterprises and private enterprises through literature review. The existing papers mainly focus on performance feedback and communication mechanisms, the application of performance management and corporate strategy, and the enthusiasm of employees to participate in performance management. The existing papers mainly focus on performance feedback and communication mechanisms, the application of performance management in line with company strategies, and the initiative of employees to participate in performance management. Neglecting the specific role of state-owned enterprises and not combining performance management with their social responsibility. In addition, the imperfect performance indicator system has also led to the problem of not being greatly influenced by subjective factors within the enterprise. The accuracy of performance evaluation in many enterprises is often influenced by human factors. The design of performance management evaluation indicators is not scientific, the evaluation is unfair, the concept of human resource management is lack of correctness, strategic planning, single evaluation results, ineffective use, lack of follow-up, and frequent communication in performance management; The recruitment and allocation of personnel are unreasonable, the construction of the management system is highly arbitrary, and there is a significant subjective bias in performance evaluation.