- Course Description:
The APO has been promoting the concept of Green Productivity (GP) since 1994, where the focus is to enhance productivity and simultaneously reduce negative impacts on the environment. GP leverages various productivity tools and techniques to help organizations improve their quality, occupational safety, and environmental management. This course will provide participants with basic knowledge of energy efficiency techniques, specifically on different sub-components that are crucial for energy efficiency in organizations, together with an introduction to best practices.
- Course Objectives:
To familiarize participants with the basic concepts, together with best practices, of energy efficiency techniques.
- Important Notes:
- Important notice:
- Course Launching date: 1st November 2019
Course ending date: 1th November, 2022
In recent years, we have seen the increased use of basic data analytics and how they revolutionize and revitalize not only businesses but also the public sector. They have played a vital, transformational role in improving the quality of public-sector decision- and policy making, strengthening political accountability, and delivering reforms in terms of advancing public services, monitoring budgets, and cutting waste, among other ways to enhance efficiency and effectiveness. Governmental organizations can now operate in a more data-driven, information-led manner, which was not possible previously. At the same time, this development also involves challenges since the responsible, secure use of public data must be ensured.
Aligned with the transformation initiative of the APO, this course will introduce the background to why data analytics are important in public-sector organizations by examining key concepts and trends of the big data environment and their applicability. As a capacity-building effort, this course will show how public-sector organizations can apply data analytics, process the results, and make data-based decisions for better performance and increased productivity.
The course will cover the following modules:
Module 1: Purpose and use of data analytics in the public sector
Module 2: Fundamentals of data analytics in the public sector: sampling and measurement
Module 3: Analysis and visualization of data I: descriptive statistics
Module 4: Analysis and visualization of data II: probability distributions
Module 5: Analysis and visualization of data III: linear regression and correlation
Module 6: Application of data analytics to the public sector problem solving_final_revision
(A minimum score of 70% on the final examination is required to qualify for the APO e-certificate.)
The purpose of this e-course is to introduce participants to the concepts of smart manufacturing using blockchain solutions. The potential of blockchains across traditional industries has been widely discussed and is rapidly impacting APO member countries in all sectors and aspects of people’s lives. All countries face challenges in addressing the wide-ranging implications of blockchains and prioritizing targets, resources, and policy measures for digital transformation. It is thus necessary to establish a holistic understanding of the blockchain concept and its attendant solutions and develop strategies in response to the opportunities and challenges of distributed ledger technology (DLT).
Aligned with rise of disruptive digital technologies impacting industry transformation across the region, this course aims to introduce the background, concept, and applications of blockchains and examples of their use in various economic sectors. The course will raise awareness of blockchain solutions across different sectors and enhance the understanding and decision-making processes of participants in efforts to increase business performance and improve productivity through new disruptive digital technologies.
The course is structured around 6 modules, which are namely as follows:
Module 1: Overview of Blockchain Technologies
Module 2: Current Status and Classification of Blockchains
Module 3: Application Scenarios for Blockchains
Module 4: Overview of Supply Chains and Blockchains
Module 5: Overview of Industry 4.0
Module 6: Smart Manufacturing and Blockchain Solutions
There is also included a further reading list. This e-learning course includes six interim quizzes and modular structured open-ended exercises. Final Exam is also given which will be graded.
The objective of this course is to introduce participants to the concepts of smart manufacturing using blockchain solutions. Starting with an overview of current digital transformations in manufacturing processes including blockchain-related technologies, participants will be able to examine the evolution of blockchain infrastructure components from an end-user perspective and understand the relevance of blockchain technologies to achieve data-driven manufacturing. In particular, this course is intended to:
a) provide a basic understanding of blockchain concepts;
b) introduce case studies of blockchain applications with a particular focus on manufacturing;
c) enhance business processes through the deployment of blockchain solutions; and
d) explain the potential of blockchain solutions for better data protection, enhanced traceability, and securitizing assets.
The purpose of this e-course is to equip workshop participants and other APO professionals to continue their work in scenario planning and also to train other associates in the technique and associated tools. Scenario planning, the focus on this course, is a process that generates a group of plausible stories about the future. These can then be used to aid long-term planning. Well-written scenarios combine rigorous forecasts with immersive storytelling elements to bring possible futures to life. In so doing, they can help inspire readers to take action in a way that more “traditional” methods of communication might not. The traditional scenario planning methodology, pioneered by Royal Dutch Shell, emphasises that scenarios are not intended to present definitive predictions about the future. Rather, scenarios help to articulate the risks and opportunities present in a range of plausible futures, and serve as a discussion tool to stimulate debate about strategies to shape the future. Scenario planning can also be seen as a change management tool — specifically, a way to sensitise the participants in the process to indicators of change and to the unpredictability and volatility of the future. They can help cultivate a “contingency mindset” and build the capacity to react quickly when the need arises.
The course is structured according to the main elements of a strategic foresight / scenarios process. Throughout the report, there are also a number of call out boxes that describe different skills / techniques that are helpful in scenario work.
There are 10 modules:
1. Thinking About the Future
2. Introduction to Scenario Planning
3. Establishing a Project
4. Driving Forces
5. Building Blocks
6. Scenario Frameworks
8. Implications, Options and Indicators
9. Communicating Scenarios
10. Practical Considerations
There is also included, as an extra, a glossary of key terms and a further reading list. This e-learning course includes five interim quizzes and one final exam.
1-2) Course Objectives:
I) Equip participants with the fundamentals and principles of strategic foresight and scenario planning as well as explain its relevance and approaches specific to public and private organizations; and
II) Develop the capability of individuals to set forward-looking strategic directions derived from plausible scenarios for the future.
1-1) Course Description:
The purpose of this e-course is to equip workshop participants and other APO professionals to learn about concept details of management of innovation in Small and Medium Enterprises (SMEs) so that they can. apply the concepts of management of innovation in their work and also to train other associates in the technique and innovative practices..Management of Innovation, the focus on this course, is a process that enables SMEs to develop competitive ability that helps in developing innovative components of an organization including products, processes and policy structures. These can then be used to aid long-term planning. Well-designed innovative polices can propel an enterprise to a next level of growth In so doing, they can help inspire readers to take action in line with the changing business environment. Innovation is considered as one of the important phenomena in the 21st century’. It provides a path for entrepreneurs to think out of box and increase their competitiveness. Firms need to develop new products, at least on occasion, to gain competitive advantage. The rate at which they are capable of developing new products has been linked to performance and long-term survival. Management of innovation is not about just advanced process rather it is about rethinking in a creative manner to develop a new process or new product which will reduce cost and increase value to the stakeholder. Management techniques can be defined as combination of techniques and methods that provides a competitive edge in the changing business environment. Management of innovation is a practice, one that is best learnt by doing rather than in a classroom. Even during through this course, someone, somewhere must be innovating a new way to develop products or trying to figure out a new way of doing things. Those taking this e-course should not expect to be full-fledged innovators but rather to learn about the key concepts and principles used in managing innovation. This e-course will facilitate participants in the applying management of innovation in day to today activities. The course is structured into seven modules covering concept, main elements , process, barriers and application of management of innovation.
The 7 modules are :
1. Concept of Management; of Innovation
2. Process of Innovation;
3. Barriers of Innovation;
4. Innovative Strategy for SMEs;
5. Open Innovation for SMEs;
6. Overview of Emerging Trends
7. Case studies on Sectoral Innovation
There is also included further reading list. This e-learning course includes seven interim quizzes and one final exam.
1-2) Course Objectives:
I) Equip participants with the fundamentals and principles of management of innovation in SMEs as well as explain its relevance, approaches barriers and sectoral case studies; and
II) Develop the capability of individuals to set forward-looking strategic directions in application of management of innovation for the future.
Public-sector productivity is an important part of the economic performance of a country. Yet measuring productivity in the sector, especially of public services, is not a simple task. It requires an appropriate framework and robust calculations of various basic inputs. As the government’s function is not to maximize profits but people’s welfare, performance measures in the public sector must therefore be addressed differently. In the long run, productivity measures for the public sector are vital in understanding the success of governments in using their resources to improve living standards and community well-being, giving warning signs to take policy action to improve productivity performance, providing feedback on the effectiveness of productivity-related measures taken, alerting policymakers to adverse productivity consequences that may result from actions taken in other areas, etc.
While determining the productivity of a specific service has proved to be challenging, the APO must increasingly recognize the important role of the public sector and examine how it can produce results of higher value to society. Hence, it must continue efforts to equip member country governments to apply the theories, concepts, and tools to improve the motivation and skill levels of public officials, strengthen management systems, enhance performance in the changing environment, and better understand productivity within their public agencies. This course will therefore provide a fundamental understanding of public-sector productivity by introducing some basic measurement techniques and applying them using examples provided in the course.
The course will cover the following modules:
Module 1: Why does measurement of public-sector productivity matter?
Module 2: The basics of productivity measurement
Module 3: Outputs and outcomes in the public sector
Module 4: How to measure output
Module 5: How to measure input
Module 6: Formulating productivity measures
Module 7: Dealing with quality
Module 8: How to interpret productivity trends
Module study, additional study material for participants, short quizzes for self-assessment, and a final examination to qualify for the APO e-certificate for eligible participants.