Ulaanbaatar, Mongolia
Ulaanbaatar, Mongolia

The Academy of Management is a professional association for scholars of management and organizations that was established in 1936. It publishes several academic journals, organizes conferences, and provides others forums for management professors and managers to communicate research and ideas. Wikipedia.


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Chang K.-H.,The Academy of Management | Wen T.-C.,National Chiao Tung University
Expert Systems with Applications | Year: 2010

Design Failure Mode and Effect Analysis (DFMEA) is the application of the Failure Mode and Effects Analysis (FMEA) method specifically to product design. DFMEA is not only an important risk assessment technique but also a major task for enterprises in implementing production management. The purpose is to ensure that the product can achieve its designed functions under specific operating conditions. Most current DFMEA methods use the Risk Priority Number (RPN) value to evaluate the risk of failure. However, conventional RPN methodology has the serious problem of measurement scales and loses some valued information, which experts have to provide. In order to improve the method of RPN evaluation, this paper proposes a novel technique, combining 2-tuple and the Ordered Weighted Averaging (OWA) operator for prioritization of failures in a product DFMEA. A case of the Color Super Twisted Nematic (CSTN) that has been drawn from a midsized manufacturing factory is presented to further illustrate the proposed approach. After comparing the result that was obtained from the proposed method with the other two listed approaches, it was found that the proposed approach can effectively solve the problem of measurement scales and has not lost any expert to provide the useful information. As a result, stability of the product and process can be assured. © 2009 Elsevier Ltd. All rights reserved.


ANDOVER, Mass.--(BUSINESS WIRE)--Philips and The Health Management Academy (The Academy) today announced they would be teaming up for the next three years on an educational initiative to launch The Academy Philips Innovation Institute, which will allow executives from the nation’s leading health systems to collaboratively study the effects of delivery reform programs and help establish best practices. Moreover, as part of The Academy Collaboratives (The Collaboratives), Philips will act as a participant, bringing its expertise, insights and best practices to foster dialog and brainstorming in support of discussion by healthcare executives on the key challenges facing U.S. health systems. These include discussions around population health management (PHM), big data, cybersecurity, Medicare Access and CHIP Reauthorization Act (MACRA) and consumerization. The Academy Philips Innovation Institute is the latest Philips effort to drive healthcare transformation, which includes working with leading academic institutions. In addition, Philips is helping to establish best practices in population health management as part of large-scale vendor partnerships with health systems, like Bon Secours Charity Health System, part of the Westchester Medical Center Health Network. Working with key Academy partners like Banner Health on industry leading technologies around connected care, and pilot projects such as the Intensive Ambulatory Care Program and Tele-iCU, Philips has helped Banner reduce hospital admissions by nearly 50 percent in part by managing high-cost patients through Philips’ telehealth program. These best practices can also be shared with other Academy members. “We continue to extend our care beyond the hospital and focus on transforming care delivery. We have seen first-hand that value-based care can not only help lower healthcare costs for our organizations, but also improve care,” said John Hensing, MD Executive Vice President and Chief Medical Officer of Banner Health. He continued: “As the health care industry continues to rapidly evolve, and regardless of what happens with legislation, we need to deliver the solutions that will allow us to deliver the best possible care to all who turn to us for any health care need. The Academy is well-designed to foster collaboration around best practices.” Innovation and time to market define success for today’s Top-100 healthcare organizations. To accelerate the use of best practices, The Collaboratives designed the first Top-100 health system-based shared learning process which provides a fast-track way for health system peers to hone in on and respond to specific emerging issues. Multi-disciplinary teams enable Top-100 health systems to consider, respond, and implement changes in rapid succession. “Innovation doesn’t happen in a vacuum and for us to deliver the technologies and services that can have a meaningful impact on the U.S. healthcare market, we need to work collaboratively with The Academy and its members, to understand the challenges they face and how we can help reduce complexity and cost, while improving patient outcomes,” said Brent Shafer, CEO of Philips North America. “As a leader in healthcare technologies and long-term partnerships, we have the insights, established best practices and technological innovations developed in conjunction with our key partners, which can help The Academy members get ready for the future of healthcare.” Philips will showcase its broad range of population health management, acute healthcare informatics and personal health solutions, fully integrated in a highly secure, cloud-based ecosystem at the upcoming Healthcare Information and Management Systems Society (HIMSS) 2017 Annual Meeting and Exhibition. For more information on Philips’ presence at HIMSS, including Philips participation in the Interoperability Showcase, Connected Health Experience and Medical Device Security Symposium, visit www.philips/himss and follow @PhilipsLiveFrom for #HIMSS17 updates throughout the event. Founded in 1998, The Academy is exclusively comprised of executive members from the country’s largest integrated health systems and a strategic balance of the industry’s most innovative companies. Executive members exchange best practices and benchmark information on increasing the quality and efficiency of healthcare. The Academy is a knowledge source for identifying and monitoring tactical and strategic issues. The Academy’s model of educational programming assesses the top priorities of its members, monitors the organization and development of large health system executive teams and facilitates structured interaction among its health system members. The Academy is an accredited CE provider. More information is available at www.hmacademy.com. Royal Philips (NYSE:PHG, AEX:PHIA) is a leading health technology company focused on improving people's health and enabling better outcomes across the health continuum from healthy living and prevention, to diagnosis, treatment and home care. Philips leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, image-guided therapy, patient monitoring and health informatics, as well as in consumer health and home care. Philips' health technology portfolio generated 2016 sales of EUR 17.4 billion and employs approximately 71,000 employees with sales and services in more than 100 countries. News about Philips can be found at www.philips.com/newscenter.


Chang K.-H.,The Academy of Management | Cheng C.-H.,National Yunlin University of Science and Technology
Journal of Intelligent Manufacturing | Year: 2011

Most current risk assessment methods use the risk priority number (RPN) value to evaluate the risk of failure. However, traditional RPN methodology has been criticized to have several shortcomings. Therefore, an efficient, simplified algorithm to evaluate the orderings of risk for failure problems is proposed in this paper, which utilizes fuzzy ordered weighted averaging (OWA) and the decision making trial and evaluation laboratory (DEMATEL) approach to rank the risk of failure. The proposed approach resolves some of the shortcomings of the traditional RPN method. In numerical verification, a failure mode and effects analysis (FMEA) of the thin film transistor liquid crystal display (TFT-LCD) product is presented to further illustrate the proposed approach. The results show that the proposed approach can reduce duplicated RPN numbers and get amore accurate, reasonable risk assessment. As a result, the stability of product and process can be assured. © Springer Science+Business Media LLC 2009.


Durgamohan M.,The Academy of Management
Worldwide Hospitality and Tourism Themes | Year: 2015

Purpose – The purpose of the paper is to explore the issues and potential that this festival brings forth. Festivals are an integral part of the cultural and social fabric of India. Festivals have been celebrated from times immemorial. One such festival is Hampi festival, which was in vogue in the Vijayanagara Empire. The Government of Karnataka revived this festival. Design/methodology/approach – Focus group discussions with the festival stakeholders were held to explore the cultural and economic impact of Hampi festival. Recommendations are made regarding improving the festival. Findings – Held at Hampi, a UNESCO’s World Heritage Site and the world’s largest open air museum covering 26 sq km, having 550 monuments, Hampi festival is a cultural extravaganza of dance, drama, music, fireworks, puppet shows and spectacular processions, all combined to recreate the grandeur of a bygone era. It has tremendous untapped potential from a cultural and economic perspective. Practical implications – An understanding of the opportunities and issues in organizing the festival, with implications for multiple stakeholders including the government at multiple levels. Originality/value – Building a discussion on how a large-scale festival that generates national and international visitation be leveraged for cultural and economic gains. © Emerald Group Publishing Limited


Chang K.-H.,The Academy of Management
Soft Computing | Year: 2014

Process failure mode and effects analysis (PFMEA) is used in the high-tech industry to improve a product's quality and robustness. It is not only an important risk assessment technique but also a valuable task for implementing production management. Its main purpose is to discover and prioritize potential failure modes. Most of the current PFMEA techniques use the risk priority number (RPN) value to evaluate the risk of failure. However, the traditional RPN methodology has a serious problem with regard to measurement scales, does not consider the direct and indirect relationship between potential failure modes and causes of failure, and loses potentially valuable expert-provided information. Moreover, there are unknown, partially known, missing, or nonexistent data identified during the process of collecting data for PFMEA; this increases the difficulty of risk assessment. Issues with incomplete information cannot be fully addressed using the traditional RPN methodology. In order to effectively address this problem, the current paper proposes a novel soft set-based ranking technique for the prioritization of failures in a product PFMEA. For verification of the proposed approach, a numerical example of the Xtal unit PFMEA was adopted. This study also compares the results of the traditional RPN and DEMATEL methods for dealing with incomplete data. The results demonstrate that the proposed approach is preferable for reflecting actual stages of incomplete data in PFMEA. As a result, product and process robustness can be assured. © 2013 Springer-Verlag Berlin Heidelberg.


Rasina I.V.,The Academy of Management
Automation and Remote Control | Year: 2012

We propose a series of approximate and iterative optimizational methods for discrete-continuous processes based on Krotov's sufficient optimality conditions. Iterations are constructed by localizing the global optimality conditions and Krotov's minimax scheme with various approximations. The very concept of a discrete-continuous system and the corresponding optimality conditions and algorithms represent a convenient formalism to study a wide class of complex systems and processes, in particular, magistral solutions of singular problems that are significantly non-uniform in structure. © Pleiades Publishing, Ltd., 2012.


Wang Y.,The Academy of Management
International Journal of Digital Content Technology and its Applications | Year: 2012

Internet of Things, also known as the sensor network, refers to the combination of the network formed by a variety of sensing devices, such as radio frequency identification devices, infrared sensors, global positioning systems, laser scanners and other devices with Internet. ZigBee technology is an emerging short-range, low-rate wireless network technology; it is a cross between technology and Bluetooth wireless markup of the technical proposals. The paper proposes the development of wireless personnel positioning in Internet of Things based on ZigBee and sensors.


Plikynas D.,The Academy of Management
Journal of Systems Science and Complexity | Year: 2010

This highly interdisciplinary research paper discusses some new insights into the fundamental properties of information-rich social networks. It mainly focuses on: i) Postulating the general properties of an information-based networking economy; ii) Modeling emergent and self-organizing features of social networks; iii) Discussing how to simulate complex social systems using a field-based approach and multi-agent platforms. Additionally, this paper gives some ideas of how to construct a virtual field-based communications network of intelligent agents using currently available computational intelligence methods. A new simulation paradigm offers some useful concepts to transform multidimensional factor space (representing a multiplicity of phenomenal forms and interactions) into the most universal spectral coding system. This paper gives some ideas of how not only the communication mechanism but also the social agents can be simulated as oscillating processes. © 2010 Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg.


Grant
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: INNOSUP-6-2015 | Award Amount: 818.52K | Year: 2016

INNO-4-AGRIFOOD will deliver a new generation of innovation support services that will assist European SMEs across the vast Agri-food ecosystem to create value from on-line collaboration for innovation, access a broader range of potential innovation partners beyond their national and sectoral borders and timely mobilise them to seize opportunities to launch concrete innovation projects. INNO-4-AGRIFOOD services will be provided by properly qualified and well-trained innovation support specialists and appropriately escalate to respond to the diverse needs and characteristics of agri-food SMEs. They will be platform-independent and supported by a suite of smart ICT tools based on well-established and mainstream web-technologies. In order to equip the staff of innovation intermediaries across Europe with the expertise and skill-set required to deliver its novel innovation support services, INNO-AGRIFOOD will develop a qualification profile that will be complemented with a dedicated curriculum as well as a series of e-training courses provided via an interactive e-learning environment. The development, testing and validation of all project outcomes will take into account the needs of agri-food SMEs and their innovation intermediaries both of which will be effectively integrated along with agri-food stakeholders into a co-creating process to generate demand-driven, desirable and sustainable project outcomes. INNO-4-AGRIFOOD is implemented by a multidisciplinary and well-balanced consortium that encompasses key collective European agri-food associations, major European networks and SME agencies, leading actors that run FIWARE agri-food accelerators communities and Living Labs and a specialised media, e-curriculum and e-training developer.


Grant
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: INNOSUP | Award Amount: 2.33M | Year: 2014

IMProve for Future will build on the proven and well-tested innovation management support services developed in the previous IMProve projects initiated by the European Commission to help mainly the Enterprise Europe Network (EEN) using IMProve services for enhancing the innovation management capacity of SMEs. Furthermore, IMProve support services and training programs will be developed to address up-coming needs of SMEs and the support providers. In seven work packages an operational and capacity building / training environment will be created: Innovation management training programs will be further developed and implemented for EEN and other innovation support providers. Coaching of EEN partners in rendering effective innovation management assessments based on the IMProve benchmarking tools, and new benchmarking features will be developed. Actions in regions and Member States to develop better programs to enhance innovation management capacity at SMEs will be supported with new IMProve products and services. Within this project also the European and international standardisation activities in innovation management will be supported. The project will actively involve the key stakeholders in shaping the training program, the new features of the IMProve platform and in delivering the IMProve support services in the most effective manner. The expected results of this 28 months project are more than 400 EEN members rendering effective innovation management benchmarking services and support to SMEs, more than 4,000 SMEs that have benefited from the IMProve services and have been put on the growth track and about 10 other actors in regions and Member States developed better programs for innovation management capacity building of SMEs. They all can rely on the IMProve methodology and assessment tools and services compliant with international standards in innovation management.

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