According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Out of the Crisis

How to Do Things With Words

Building Leadership Effectiveness This program encourages leaders to develop practices that transform values into action, vision into realities, obstacles into innovations, and risks into rewards. Participants will be introduced to the five practices of exemplary leadership: modeling the way, inspiring a shared vision, challenging the process, enabling others to act, and encouraging the heart Coaching & Communicating for Performance Coaching & Communicating for Performance is a highly interactive program that will give supervisors and managers the opportunity to build skills that will enable them to share expectations and set objectives for employees, provide constructive feedback, more effectively engage in learning conversations, and coaching opportunities. Skillful Conflict Management for Leaders As a leader, it is important to understand conflict and be effective at conflict management because the way conflict is resolved becomes an integral component of our university’s culture. This series of conflict management sessions help leaders learn and put into practice effective strategies for managing conflict.

기독교 사역과 Leadership

A maximum likelihood (ML) estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise. This ML estimator can be realized as a pair of receiver prefilters followed by a cross correlator. The time argument at which the correlator achieves a maximum is the delay estimate. The ML estimator is compared with several other proposed processors of similar form. Under certain conditions the ML estimator is shown to be identical to one proposed by Hannan and Thomson [10] and MacDonald and Schultheiss [21]. Qualitatively, the role of the prefilters is to accentuate the signal passed to the correlator at frequencies for which the signal-to-noise (S/N) ratio is highest and, simultaneously, to suppress the noise power. The same type of prefiltering is provided by the generalized Eckart filter, which maximizes the S/N ratio of the correlator output. For low S/N ratio, the ML estimator is shown to be equivalent to Eckart prefiltering.

The generalized correlation method for estimation of time delay

This paper focuses on the class of speech enhancement systems which capitalize on the major importance of the short-time spectral amplitude (STSA) of the speech signal in its perception. A system which utilizes a minimum mean-square error (MMSE) STSA estimator is proposed and then compared with other widely used systems which are based on Wiener filtering and the "spectral subtraction" algorithm. In this paper we derive the MMSE STSA estimator, based on modeling speech and noise spectral components as statistically independent Gaussian random variables. We analyze the performance of the proposed STSA estimator and compare it with a STSA estimator derived from the Wiener estimator. We also examine the MMSE STSA estimator under uncertainty of signal presence in the noisy observations. In constructing the enhanced signal, the MMSE STSA estimator is combined with the complex exponential of the noisy phase. It is shown here that the latter is the MMSE estimator of the complex exponential of the original phase, which does not affect the STSA estimation. The proposed approach results in a significant reduction of the noise, and provides enhanced speech with colorless residual noise. The complexity of the proposed algorithm is approximately that of other systems in the discussed class.

Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator

This paper frames the enterprise engineering body of knowledge within the scope of the general system’s theory to challenge researchers and practitioners working in this field. Understanding that an organization is a living being that exist, acts and interacts, the goal of the paper is to narrow the discussion on how to observe, represent and act the enterprise in real-time. To that end, the following set of core elements are conceptualized and discussed: the organization, the actor, the observation, the time and the Kalman’s dynamic control. Afterwards, those elements are combined to describe the duality that exists between the Human-self/organization-self dynamic control mechanisms including the time-delay concerns.

Framing Enterprise Engineering Within General System’s Theory: Perspectives of a Human Centered Future

To continuously improve its knowledge and to identify problems and possible solutions, an organization requires understanding of the way business is aligned with the organizational strategy and how information systems are sipporting the business. This paper presents an object-oriented framework, presented as a UML Profile, for describing three organizational concerns: strategy and goals, business processes and information systems.

An Object-Oriented Framework for Goal and Process Modeling

In organizations where there are not any concerns about guiding Information Systems’ (IS) development using Information Systems Architecture (ISA) models updated in a strict and automatic fashion, business requirements and external pressures frequently lead to an increasing gap between current Information Systems and the latest version of their ISA and, in particular, their Technology Architecture (TA) models, when they exist. One of the causes for the lack of "investment" in TA models is the considerable effort required to "discover" infrastructural features that serve as input to the development of such Architectures. Such a task can only be achieved using automatic approaches. This work is focused on devising a bottom-up approach for the representation and continuous update of TAs in organizations using a tool that automates the discovery of architectural evidences (through network events) and mappings between those architectural evidences to a modeling language, using logical deduction rules. This approach also features a process based on the annotation mechanism to enable interaction contexts that allow actors in an organization to make explicit their knowledge about their perception of the TA reality. This approach was applied in a concrete case study, but it can be applied to any organization in any context.

A bottom-up approach for the representation and continuous update of technology architectures

Understanding value co-creation has been identified has a critical research topic area due to the evolution on how customers design, produce and consume products/services. Moreover, there is a plethora of theory sources that address it and an apparent lack of alignment between them. In this exploratory study, we use enterprise engineering techniques, namely organizational modelling methodologies (DEMO and e3Value), to clarify the co-creation and co-design concepts. In order to do so, we extended the Flower Shop case with procedures that were identified in the literature as co-creation. The analysis of this case allowed us to objectify the co-design and co-production concepts by defining in which specific modelling patterns these concepts can be illustrated, in order to make them explicit and assert alignment with the business model. Furthermore, such analysis has supported specification of a generic co-creation (sub)organization which serves as a reference for alignment with service design and management knowledge areas.

Objectifying Value Co-creation – An Exploratory Study

In organizations where there are not any concerns about updating Information Systems Architecture (ISA) models in a strict and automatic fashion, business requirements and pressures frequently lead to an increasing gap between current Information Systems and the latest version of their ISA and, in particular, their Technology Architecture (TA) models, when they exist. One of the causes for the lack of “investment” in TA models is the considerable effort required to “discover” infrastructural features that serve as input to the development of architectures. This work is focused on devising a bottom up approach for the representation and continuous update of TAs in Public Administration (PA) using tools to automatize the discovery of architectural evidences (such aslogsor network events) and a process based on the annotation mechanism to enable interaction contexts that allow actors to make explicit their knowledge about their activities through graphic representations.

José Tribolet

Papers

Framing Enterprise Engineering Within General System’s Theory: Perspectives of a Human Centered Future

An Object-Oriented Framework for Goal and Process Modeling

A bottom-up approach for the representation and continuous update of technology architectures

Objectifying Value Co-creation – An Exploratory Study

A BOTTOM-UP APPROACH FOR THE REPRESENTATION AND CONTINUOUS UPDATE OF TECHNOLOGY ARCHITECTURES IN PUBLIC ADMINISTRATION - Position Paper