Analysis Of Key Performance Indicators Research Articles

Advances in auditing and business continuity: A study in financial companies

This paper delves into the integration of Intelligent Process Automation within the domain of business continuity auditing, with a focus on the Portuguese banking sector. In an era marked by rapid technological advancement, organizations are increasingly leveraging automation to reinforce operational efficiency and realize substantial cost savings. Concurrently, auditors play a pivotal role in ensuring seamless transitions amid technological transformations to safeguard business continuity. This research endeavors to bridge the realms of business continuity and intelligent automation, culminating in a comprehensive application that streamlines the audit process. The implemented solution encompasses the automation of critical audit activities, including communication, information requests, and final report submissions, liberating auditors from the chains of repetitive tasks. The incorporation of business intelligence augments this automation framework, enabling a meticulous analysis of key performance indicators within the audit department. This ensures a continuous evaluation of the efficacy of the Annual Audit Plan. Empirical validation of this initiative was achieved through surveys conducted with audit teams from four prominent Portuguese banks. The results unequivocally affirm the potential benefits of this implementation, extending invaluable support to management in the decision-making process, while concurrently alleviating auditors of routine tasks inherent to the audit process. This study not only underscores the transformative potential of intelligent process automation in the audit domain but also offers a replicable framework for organizations seeking to fortify their business continuity efforts through technological integration. The findings hold implications for businesses navigating the dynamic intersection of technology and audit practices, providing a blueprint for harnessing automation for enhanced operational resilience.

Halal Supply Chain Performance Measurement with Supply Chain Operations Reference Approach

Bakso Mantul is a household industry produces ready-to-eat packaged frozen meatballs with sales areas in South Sumatra, Indonesia. The absence of halal certification of the products failed the business to get benefit of increasing income and consumer’s trust. The obligation to certify halal products is based on the Law of the Republic of Indonesia No. 33 of 2014. The preparation and performance measurement of halal supply chain management implemented by Micro, Small, and Medium Enterprises (MSMEs) could support to obtain the certification. The purpose of the study is to prepare Key Performance Indicators (KPIs) using Supply Chain Operations Reference (SCOR) as a form of standardization. SCOR could be used to maintain the products’ halal quality and measure the performance of all halal supply chain activities in the cycle view push process. From the validation results carried out by internal and external respondents of MSMEs, 12 KPIs obtained are considered valid and could be used to measure the performance of halal supply chain. From the measurement, a value of 50.78 is still categorized as average based on the Snorm De Boer system. The KPI analysis using the Traffic Light System (TLS) shows that seven KPIs are satisfying, four are not satisfactory, and one is marginal.

Key Performance Indicator Analysis and Sharia Product Knowledge on Sales Force Performance with Work Motivation as an Intervening Variable at Bank Muamalat Indonesia

The growth of Islamic banking is influenced by various factor, including the performance of sales personnel in offering products. Selling skills should also be supported by a deep product knowledge product sharia. In addition, work motivation is an integral part of performance enhancement. The use of Key Performance Indicator (KPIs), Products Knowledge, and work motivation and their relationship with performance need to be measured to what extent these variables are interconnected. This research aims to analyze Key Performance Indicators and Sharia Product Knowledge on the performance sales personnel, with work motivation as an intervening at Bank Muamalat Indonesia. The background of the study is based on understanding how Key Performance Indicators and Knowledge Product Sharia owned by sales personnel can explain the relationship with performance, with work as mediation. This research is a quantitative study and utilizes a questionnaire distributed to sales force or marketing employees. Data collection was done by distributing the questionnaire through online media to the sales force. The data processing and analysis software used is SMARTPLS 3.0. The results of the direct effect variable test show that the Key Performance Indicator (X1) has a significant effect on Sales Force Performance (Z) at 0.192 with a t-statistic (2.444>1.96) or p-value (0.015<0.05). The effect of Key Performance Indicator (X1) on Work Motivation (Y) is a significant at 0.291 with a t-statistic (3.525>1.96) or p-value (0.000<0.05). The effect of Work Motivation (Y) on Sales Force Performance (Z) is significant at 0.366 with t-statistic (4.581>1.96) or p-value (0.000<0.05). The effect Knowledge Product sharia (X2) on Sales Force Performance (Z) is significant at 0.241 with a t-statistic (2.652>1.96) or p-value (0.008<0.05). The Effect of Knowledge Products Sharia (X2) on Work Motivation (Y) is significant at 0,453 with a t-statistic (5.542>1.96) or p-value (0.000<0.050). Meanwhile, for the indirect effect analysis, the indirect effect of Key Performance Indicator (X1) on Sales Force Performance (Z) through Work Motivation (Y) is 0.106 with p-value of 0.012 <0.05, which means that Work Motivation (Y) mediates the effect of Key Performance Indicator (X1) on Sales Force Performance (Z). The indirect effect of Knowledge Product Sharia (X2) on Sales Force Performance (Z) through Work Motivation (Y) is 0.166 with p-value of 0.001 <0.05, which means that Work Motivation (Y) mediates the effect Knowledge Product Sharia (X2) on Sales Force Performance (Z).

Research on low-carbon development path of new energy industry under the background of smart grid

ObjectivesThe transition to a low-carbon and sustainable energy system is essential to combating climate change and ensuring the long-term viability of the global energy industry. Smart grid technologies are emerging as a transformative force in this transition. This research explores the multifaceted impact of smart grid technologies on the new energy industry and evaluates the influence of policies and regulations in shaping its development. MethodsThe study employs a mixed-method approach, combining quantitative analysis of key performance indicators (KPIs) and a qualitative examination of stakeholder perspectives. The quantitative analysis focuses on the impact of smart grids on renewable energy penetration, carbon emissions, and energy efficiency. The qualitative analysis draws on interviews with experts from industry, academia, and government to gain insights into the role of policies and regulations in driving smart grid development. ResultsThe quantitative analysis reveals a significant increase in renewable energy penetration, a reduction in carbon emissions, and enhanced energy efficiency in regions with high smart grid adoption. These findings indicate the substantial impact of smart grid technologies in facilitating the transition to a clean and sustainable energy system. The qualitative analysis highlights the role of policies and regulations in driving the growth of renewable energy capacity, reducing carbon emissions, and creating jobs in the new energy industry. Supportive regulatory frameworks have been instrumental in stimulating investment in smart grid technologies and renewable energy projects. A regression analysis was conducted to shed light on the impact of sustainability indicators, economic assessments, and renewable energy capacity on carbon emissions. The analysis shows that these variables significantly influence carbon emissions, providing insights for policymakers and industry stakeholders. ConclusionThe findings of this study underscore the importance of smart grid technologies and supportive regulatory frameworks in facilitating sustainable energy development. Smart grid technologies play a critical role in enabling the integration of renewable energy into the grid, improving energy efficiency, and reducing carbon emissions. Governments and industry stakeholders should collaborate to accelerate the deployment of smart grid technologies and create a supportive policy environment for the new energy industry.Research and development should be funded for innovative smart grid technology.

Optimizing Business Performance through KPI Alignment: A Comprehensive Analysis of Key Performance Indicators and Strategic Objectives

Optimizing Business Performance through KPI Alignment: A Comprehensive Analysis of Key Performance Indicators and Strategic Objectives

THE IMPACT OF DIGITALISATION ON THE EFFICIENCY AND COMPETITIVENESS OF AN ORGANISATION IN THE MODERN BUSINESS ENVIRONMENT

This article explores the profound impact of digitalisation on organisational effectiveness and competitiveness in the modern business landscape. The increasing integration of digital technologies into business processes has led to a re-evaluation of traditional organisational structures and practices. The study aims to provide insights into the impact of digitalisation on organisations and contribute to the understanding of its multifaceted effects. The relevance of this research lies in the transformative nature of digitalisation, which has become a strategic imperative for organisations seeking to thrive in the dynamic business environment. The ongoing digital revolution necessitates an examination of its impact on organisational effectiveness and competitive positioning. Through a comprehensive literature review, the paper establishes the current state of knowledge on the subject and identifies gaps that warrant further investigation. The methodology used is a combination of qualitative and quantitative approaches. Interviews with industry experts, case studies of digitally transformed companies, and statistical analysis of key performance indicators contribute to a nuanced understanding of the relationship between digitalisation and organisational outcomes. The research also considers factors such as the level of technology adoption, organisational culture and the role of leadership in driving digital initiatives. The results highlight the multifaceted impact of digitalisation on organisational efficiency and competitiveness. The findings reveal improvements in operational processes, increased agility and the potential for innovation through digital technologies. Conversely, challenges related to cybersecurity, workforce adaptability and ethical considerations are also identified. The study provides a holistic view of the complexities associated with the digitalisation journey. The paper contributes to the academic discourse on the impact of digitalisation on businesses by presenting a thorough analysis of its impact on organisational effectiveness and competitiveness. The practical significance of the study is that it provides strategic recommendations for organisations navigating the digital landscape. The insights gained from this research can guide organisational leaders, policy makers and practitioners in making informed decisions to harness the benefits of digitalisation while addressing its associated challenges. As organisations continue to navigate the evolving digital landscape, understanding the nuanced dynamics uncovered in this study will be paramount to sustaining and enhancing organisational performance.

Contact tracing for COVID-19 in a Swiss canton: analysis of key performance indicators.

Contact tracing (CT) has played an important role in strategies to control COVID-19. However, there is limited evidence on the performance of digital tools for CT and no consensus on which indicators to use to monitor their performance. We aimed to describe the system and analyse outcomes of CT with a partially automated workflow in the Swiss canton of Solothurn, using key performance indicators (KPIs). We describe the process of CT used in the canton of Solothurn between November 2020 and February 2022, including forward and backward CT. We developed 16 KPIs representing CT structure (S1-2), process (P1-11) and outcome (O1-3) based on previous literature to analyse the relative performance of CT. We report the changes in the indicators over waves of SARS-CoV-2 infections caused by several viral variants. The CT team in Solothurn processed 57,363 index cases and 71,809 contacts over a 15-month period. The CT team successfully contacted 99% of positive cases within 24 hours (KPI P7) throughout the pandemic and returned almost all test results on the same or next day (KPI P6), before the delta variant emerged. Three-quarters of contacts were notified within 24 hours of the CT interview with the index (KPI P8) before the emergence of the alpha, delta and omicron variants, when the proportions decreased to 64%, 36% and 54%, respectively. The percentage of new symptomatic cases tested and interviewed within 3 days of symptom onset was high at >70% (KPI P10) and contacts started quarantine within a median of 3 days of index case symptom onset (KPI P3). About a fifth of new index cases had already been in quarantine by the time of their positive test (KPI O1), before the delta variant emerged. The percentage of index cases in isolation by day of testing remained at almost 100% throughout the period of analysis (KPI O2). The CT in Solothurn used a partially automated workflow and continued to perform well throughout the pandemic, although the relative performance of the CT system declined at higher caseloads. CT remains an important tool for controlling the spread of infectious diseases, but clearer standards should improve the performance, comparability and monitoring of infection in real time as part of pandemic preparedness efforts.

Комплексный подход к реализации стратегии в устойчиво развивающейся городской поликлинике.

Currently, strategic planning is the basis of the activities of many healthcare organizations. Building strategic goals and objectives structures the action plan and allows you to determine the degree of importance of the work being carried out relative to the organization’s policies. However, not all management methods and techniques lead to sustainable development of healthcare organizations. To achieve the strategic goals of an organization, an integrated approach is needed, which determined the relevance of this study. Purpose of the study is to determine and the description of an integrated approach to the implementation of strategic objectives in a sustainably developing healthcare organization providing primary health care to the urban population. Materials and methods. The study of the sustainable development of healthcare organizations was carried out from 2012 to 2023, and a sociological study of the opinions of the heads of healthcare organizations implementing a development strategy was carried out from 2012 to 2018. Results. A sociological survey of managers showed that 24,6% of healthcare organizations applying a development strategy do not achieve their indicators within 3 years. To increase the sustainability of the development of healthcare organizations, an integrated approach is required in combination with such management methods as: implementation of a quality management system; implementation of a sustainable development model; implementation of improvements; training staff on a long-term development strategy; analysis of process effectiveness, etc. To implement a sustainable development strategy in the healthcare organization, the following activities were developed and implemented: determining the long-term goals of the healthcare organization; determination of key performance indicators of the organization; identifying key processes to achieve long-term goals of the clinic; identification of key performance indicators for each process; determining the quality and quantity of resources that support key processes; on-the-job training of personnel; monitoring and analysis of key performance indicators; identifying departmental best practices; implementing organizational improvements and innovations; changing long-term goals and key performance indicators based on the internal needs of the organization. In general, over 6 years, the effectiveness of the organization’s strategy and policies increased by 5,9 times. Findings. Thus, to achieve sustainable growth in long-term development indicators, it is necessary not only to formulate strategic performance indicators, but also to ensure their implementation in all divisions of the healthcare organization, including administrative, economic and support services. To this end, it is necessary to involve staff in improving work efficiency through on-the-job training in the best practices for implementing project work to improve the activities of a healthcare organization. This integrated approach increases employee engagement and allows for sustainable development of the organization as a whole.

AMU-LED Cranfield Flight Trials for Demonstrating the Advanced Air Mobility Concept

Advanced Air Mobility (AAM) is a concept that is expected to transform the current air transportation system and provide more flexibility, agility, and accessibility by extending the operations to urban environments. This study focuses on flight test, integration, and analysis considerations for the feasibility of the future AAM concept and showcases the outputs of the Air Mobility Urban-Large Experimental Demonstration (AMU-LED) project demonstrations at Cranfield University. The purpose of the Cranfield demonstrations is to explore the integrated decentralized architecture of the AAM concept with layered airspace structure through various use cases within a co-simulation environment consisting of real and simulated standard-performing vehicle (SPV) and high-performing vehicle (HPV) flights, manned, and general aviation flights. Throughout the real and simulated flights, advanced U-space services are demonstrated and contingency management activities, including emergency operations and landing, are tested within the developed co-simulation environment. Moreover, flight tests are verified and validated through key performance indicator analysis, along with a social acceptance study. Future recommendations on relevant industrial and regulative activities are provided.

Promotion of Educational Programs: New Practices

In the context of current and upcoming reforms of higher education, there are acute issues of target orientation of new educational programs under the orders of external stakeholders (state, region, employers, students, and their families, etc.), as well as their promotion for subsequent implementation to obtain the target result, ensure employment of graduates, satisfy customer requests. The purpose of the study is to present a case of effective promoting a new type of higher education programs, which involve vertical school-university integration, to formulate recommendations for their promotion, and to evaluate the results of recruitment. The following research methods are used: analytical and comparative, analysis of documents, labor market segments review, marketing promotion plan formation, key performance indicators analysis etc.The case analysis shows that in the context of competition for applicants, the use of activity-based tools for promoting educational programs, which imply immersion in practice-oriented learning from school (for instance, involving schoolchildren in university projects), as well as other forms of active marketing can give better results than traditional approaches.

Visualization and analysis of key performance indicators for agricultural cold supply chain in Indian context using fuzzy DEMATEL approach

PurposeThis study aims to discover the key performance indicators (KPIs) of the agricultural cold supply chain (ACSC) and analyze their consequences on the performance of ACSC within the bounds of Indian topography.Design/methodology/approachThe KPIs have been explored based on the literature review both in global and Indian context and domain expert's opinions. The interdependency characteristics and cause–effect relationship among the KPIs have been analyzed using a fuzzy decision-making trial and evaluation laboratory (f-DEMATEL) approach.FindingsThe findings extracted from the empirical assessment of the problem find strong compliance with the notions of theoretical model assessment. The results highlight that the cost of product waste and operating and performance costs are the two most important performance indicators of an Indian ACSC. Furthermore, governmental policies and regulations and the effectiveness of cold chain (CC) equipment also have a high degree of influencing characteristics on ACSC performance.Research limitations/implicationsTo connect the study with practicalities, the assessment of the KPIs is allied with real-time practices by clustering the beliefs of Indian professionals. Therefore, the decision-making behavior of the experts might be influenced by geographical constraints. However, the key findings provide advantages to the ACSC players, a bright hope for future food security and a significant profit for farmers.Originality/valueThe presented paper encompasses various aspects of the ACSC, including theoretical and empirical perspectives exercised to contemplate the system dynamics, which inculcates the essence of the associated practicalities. Thus, this study has various practical contributions relevant to managerial and societal perspectives.

Analysis of Key Performance Indicators during and Post the Covid-19 Pandemic (Case Msmes in Indonesia)

This study aims to identify the Key Performance Indicators (KPI) of each of the internal and external environmental factors used to measure the performance of Micro, Small, and Medium Enterprises (MSMEs) during and after the COVID-19 pandemic. The population in this study are the owners and managers of MSMEs in Banyumas Regency in December 2020 and 2021. The data analysis technique uses the Mc-Nemar Test Method. The results of the study indicate that KPIs which include production; GMP Good Manufacturing Practices; quality control; Brand; packaging; labeling and intellectual property; marketing; Financial management; capital literacy; Human Resources; character; Relevant agencies, and permits to measure MSME performance during and after the COVID-19 pandemic. These KPIs contain implementation in the short term (during the COVID- 19 pandemic) and medium or long term (post-COVID-19 pandemic). This study proves that KPIs relevant to measuring short-term performance are very important to develop a model for the recovery of MSME performance during the COVID-19 pandemic. Relevant KPIs to measure the performance of MSMEs in the medium or long term are very important to determine the post- COVID-19 recovery strategy.

Performance assessment of a communication infrastructure with redundant topology: A complex network approach

The physical assets within a critical infrastructure system are pivotal to its efficient performance and protection and that of other dependent systems. This is particularly the case for communication systems where network protection strategies usually involve asset redundancy. Although such redundancy is well-modelled in the literature, there is a gap in knowledge from a network science perspective in terms of its implications for network modelling and performance assessment. This paper presents a multilayer complex network framework that takes into account the heterogeneity of the redundant infrastructure for realistic network modelling and further analysis, a step change from using a single network model. Key performance indicators (KPIs) for communication networks (i.e., latency and jitter, bandwidth and throughput, queue depth and packet drops) are redefined to evaluate key important features of a long-haul backbone network such as network capacity and average use. In addition, these KPIs are adapted to deal with the aforementioned redundancy and so inform network managers with values defined over a model closer to the real system. The paper analyses the use case of a nationwide core and metro network infrastructure of one of the main UK internet service providers. The results of the analysis of KPIs showcase the advantage of the proposed multilayer complex network framework over the traditional single network model. Critical network elements within different dimensions of a communication network are identified based on their performance for prioritising network management measures.

Application-driven level-of-detail modeling framework for occupant air-conditioning behavior in district cooling

Occupant behavior (OB) contributes significantly to uncertainties in the results of building performance simulation (BPS). However, a consensus regarding the appropriate level of detail (LoD) for OB modeling in BPS is yet to be reached. Hence, this study focuses on district cooling simulation applications. A systematic technical framework for determining the most appropriate LoD for modeling occupant air-conditioning (AC) use behavior is proposed herein. The framework includes three steps: defining applications and the key performance indicators (KPIs), defining comparable LoDs for AC use behavior modeling, and selecting LoDs based on KPI analysis. Appropriate LoDs for different applications are concluded. For the application related to total cooling demand evaluation, LoD O-1, representing average occupant with stochastic models, is recommended. For the design (sizing) of cooling equipment, LoD O-2, considering the diversity behaviors of occupants, is recommended. For the design of district thermal energy storage (TES) system, LoD O-2 is appropriate. For electricity pricing strategy-making, the most detailed LoD O-3 is recommended. The proposed analytics framework of modelling different LoDs of AC behavior can inspire researchers and modelers on understanding and determination of OB modeling LoDs for various future projects.

Модель объектных отношений для интеллектуального управления на основе производственных данных

<p>A field of Industry 4.0 is one of the most perspective with respect to research and optimization of production and industrial problems. The main problems in this field are connected with necessary analysis and processing of a huge data, which have a different native and sources. Particularly, the data from various automatic sources, as well as getting due to human management, become far away from each other both from the structure point of view and the native meaning. And there often occur, that such a different data in integrated form could contain a significant information for analysis, and moreover for a transformation of the technological process. At the same time, it is rather difficult to provide an analysis in frame of a significant asynchrony, and sometimes it becomes to a practical unsolvable problem. In this regard, the problem on developing of specialized methods for collecting, storing and processing big data of various structures are becoming fundamentally relevant. This is the purpose of the present work, which proposes a new method for organizing data based on the concept of object relations as a universal structure for production modeling. The proposed method is based on the concept of an "object", which is any entity of the production chain (plant, workshop, machine, production operation, unit of production, etc.) The key difference between the method of object relations and agent modeling is the fact that no behavioral scenarios are imposed on objects. Thus, the "object" structure turns out to be authorized to enter into any relationship with other "objects" within the framework of the model under consideration, which in turn allows to accumulate various kinds of data into a single hierarchy and guarantees the reliability of analysis at any level. The proposed method of object relations has been applied at several full-scale production sites, thereby confirming its stability and operability. The paper provides an analysis of key performance indicators of the application of the method of object relations to solve the problem of forming a technological passport of a product at the steel production, and also discusses ways of further development.</p>

Comparative Statistical Analysis of Key Performance Indicators in the Health System.

In this paper, a comparative statistical analysis of some performance indicators from the health system at SCJU Craiova and SJU Slatina is made in the period 2010-2021. Also, the correlations between the average duration of hospitalization, the bed utilization rate, the number of cases and the case complexity index for each hospital are studied. It is found that there are similarities, but also statistically significant differences between the two analyzed hospitals. Thus, it turns out that there are no significant differences between the bed utilization rate and the complexity index between the two hospitals, but there are statistically significant differences at a significance threshold of 5% between the average duration of hospitalization and the number of cases registered at the two hospitals analyzed. Moreover, the case complexity index is strongly negatively correlated with the bed utilization rate and with the number of cases in both hospitals, but positively correlated with the average duration of hospitalization at SCJU Craiova and weakly negatively correlated at SJU Slatina.

CO2 electrolysis towards large scale operation: rational catalyst and electrolyte design for efficient flow-cell.

The electrochemical CO2 reduction reaction (CO2RR) to renewable fuels/chemicals is a potential approach towards addressing the carbon neutral economy. To date, a comprehensive analysis of key performance indicators, such as an intrinsic property of catalyst, reaction environment and technological advancement in the flow cell, is limited. In this study, we discuss how the design of catalyst material, electrolyte and engineering gas diffusion electrode (GDE) could affect the CO2RR in a gas-fed flow cell. Significant emphasis is given to scale-up requirements, such as promising catalysts with a partial current density of ≥100 mA cm-2 and high faradaic efficiency. Additional experimental hurdles and their potential solutions, as well as the best available protocols for data acquisition for catalyst activity evaluation, are listed. We believe this manuscript provides some insights into the making of catalysts and electrolytes in a rational manner along with the engineering of GDEs towards CO2RR.

Analyzing Effective Digital Marketing Strategies for Online Merchants

In today's extremely competitive business environment, digital marketing has evolved into an essential component that must be present for an online retailer to achieve success and sustain development. The purpose of this research is to investigate successful digital marketing methods for online retailers, with a particular emphasis on gaining an understanding of the main components that contribute to the accomplishment of a digital marketing campaign. In the beginning of the paper, we discuss the significance of digital marketing in the context of online retailers. More specifically, we focus on the necessity of efficiently reaching and engaging with one's target audience while they are in the digital arena. The article then looks into a variety of approaches that online retailers take in order to make the most of their digital marketing efforts. The investigation covers a comprehensive variety of digital marketing tactics, such as search engine optimization (SEO), content marketing, social media marketing, email marketing, influencer marketing, and paid advertising. Each tactic is analyzed in terms of the overall marketing objectives of online retailers, the ways in which it might be applied, and the possible impact it can have on those objectives. The significance of making decisions regarding digital marketing initiatives based on analysis of data is investigated in this study. It places an emphasis on the significance of monitoring and conducting an analysis of key performance indicators (KPIs) as a means of determining the degree to which particular marketing tactics are successful. In addition, the abstract emphasizes the significance of personalization and targeting in digital marketing, drawing attention to the fact that marketing communications should be tailored to the specific demographics of target audiences. This research is exploring the key components of effective digital marketing strategies for online merchants & also provided insights and practical recommendations for online merchants to optimize their digital marketing efforts.

Omogućavanje digitalnog rasta kroz kontinuiranu edukaciju menadžera projekata - okvir za kolaborativno, komplementarno, održivo i istovremeno učenje u organizacijama za softversko inženjerstvo

Introduction/purpose: This paper introduces a novel PMO EDUCT framework that encompasses Collaborative, Complementary, Sustained, and Simultaneous learning explicitly tailored for the dynamic landscape of software engineering. This paper contributes to the ongoing discourse on education and professional development in the digital era by illuminating the challenges faced, the framework developed, and the measurable outcomes achieved. The presented framework underscores the need for agility, adaptability, and a relentless pursuit of knowledge as fundamental tenets for success in an ever-evolving landscape. Methods: Focusing on a large software engineering organization, this study explores the multifaceted aspects of project management education, methodology enhancement, and team optimization. The proposed methodology combines qualitative and quantitative approaches to explore the educational process area in a global organization and generate a flexible and measurable framework to improve corporate knowledge growth. The framework aims to provide learners the most flexibility about learning paths, schedules, collaboration, and best practice exchange while guaranteeing proper alignment with frequent market changes and emerging PM skills. Results: Findings indicate that personalised, continuous learning, facilitated through collaborative environments and custom-tailored content, yields significant benefits. Through analysis of key performance indicators (KPIs), this study showcases improved project onboarding, enhanced team collaboration, and the cultivation of a culture of innovation. Conclusion: This paper presents the PMO EDUCT framework that organizations can use to create a learning culture and empower their employees to succeed in the constantly evolving field of software development. By adopting collaborative, complementary, sustained, and simultaneous learning principles, organizations can develop a workforce with the essential skills of critical thinking, collaboration, and adaptability necessary for success in the digital era.

Analysis of Key Performance Indicators to Study the Growth and Development of Selected Software Companies in India

The Indian software industry plays a significant role in developing the national economy, from an inward looking economy into a dynamic digitally empowered society. Nearly 95% of the foreign exchange inflows in the service sector are contributed by IT and Buisness Process Outsourcing (BPO) industries. Indian government policy was introduced in 1986 and modified in 1988 in relation with the world market policy, Software Technology Parks of India scheme support to attract Foreign Direct Investment. Recent advancement in the field of information and communication has significantly modified the role of IT in all organizations. Enormous growth in IT industry has changed the outsourcing strategy and buying behavior. Organizations can realize more benefits by investing more funds in IT. India is considered a pioneer in software development and a favourite destination for software and IT enabled services. IT industry has produced a revolutionary variation in the economic scenario and a huge number of personnel are working with higher productivity and association with Multi National Corporations (MNCs).