A Dynamic Approach to Stakeholder Theory: A Case Study of Labor - Management Relations at General Motors

The purpose of this thesis is to identify areas for improvement in the current stakeholder management literature. The current stakeholder management theories were analyzed to determine their benefits and detriments. To determine how these theories work in a corporation, General Motors was selected as a single-case study to determine the patterns of stakeholder management over time. These patterns demonstrated the need for dynamic stakeholder management over time, with an emphasis on collaboration and the necessity of recognizing the greater stakeholder network surrounding the corporation. Proper stakeholder management in the early years of General Motors would have prevented its failure, while the organizational culture as a path-dependent variable made it difficult for General Motors to alter long-standing stakeholder relationships.

Testing the 'Learning for Sustainabiliy' Approach in a Training for Trainers: Contribution to new learning theory and approaches

Mainstreaming the LforS approach is a challenge due to dive rging institutional priorities, customs, and expectations of classically traine d staff. A workshop to test LforS theory and practice, and explore how to mainstream it, took place in a concrete context in a rural district of Mozambique, focusing on agricultural, forest and water resources. The evaluation showed that the principles of interaction applied pe rmitted to link rational know ledge with practical experience through mutual learning and iterative self-reflection. The combination of learning techniques was considered usef ul; participants called for further opportunities to apply the LforS methodology, proposing next steps.

Something real: A social marketing approach to smoking prevention among Montevideo youth

Uruguay has some of the strictest tobacco-control laws in Latin America. Despite this, youth smoking rates in Uruguay are amongst the highest in South America. Thus, it is important to identify strategies to prevent youth smoking in Uruguay. The current qualitative research study sought to identify intrapersonal and socioenvironmental factors that are associated with smoking among middle school youth in Uruguay. It also sought to develop potential prevention strategies and media messages that would resonate with youth for a social media campaign. The study was grounded in social cognitive theory and the theory of reasoned action/planned behavior, among other behavioral science theories; anthropological perspectives were also considered. To achieve these goals, 29 group and individual structured interviews were conducted in two private middle schools catering to lower and higher SES youth in Montevideo, Uruguay during the summer of 2012. One hundred and three study participants, including students, parents, and teachers, were interviewed. The structured interviews were recorded, transcribed, translated, back translated, coded and analyzed. The study findings show that positive attitudes towards smoking (i.e. to be seen, to increase status, to ensure women's equality, to looking old, and to service as a rite of passage), delinquent behavior (i.e. transgression/deviant behavior), social norms that support smoking (i.e. peer pressure and modeling, group membership/sense of belonging, parental modeling, and family support), easy access and availability to tobacco (i.e. retails stores) were factors associated with youth smoking. Potential protective factors may include parental support, negative attitudes towards smoking, sports/music, and smoke-free environments. Because study participants are accustomed to government-sponsored strong countermarketing graphic imaging, study participants selected even stronger images and messages as the preferred way to receive tobacco prevention messages. Something Real ("Algo Real") was a theme that resonated with the participants and chosen as the name for the proposed campaign. This campaign was designed as a multiple component intervention that included mass, school base, and family based strategies to prevent tobacco use. Some intervention materials specific to these intervention components were developed to target relevant intrapersonal and socioenvironmental factors identified above. These materials will be tested in future pilot studies and larger scale evaluation with this population, outside the scope of this dissertation. ^

Theory of a Flowchart Approach to Industrial Cluster Policy

A flowchart approach to industrial cluster policy emphasizes the importance ofthe ordering of policy measures. The flow of policy implementation is to establish an industrial zone, to invite an anchor company, and to promote its related companies to invest in the industrial zone. This article delineated "a flowchart approach to industrial cluster policy" by proposing sufficient conditions for forming industrial clusters typical in the manufacturing industry in Asia to enhance regional economic growth. The typical industrial cluster policy was theorized by defining an industrial zone as "quasi-public goods", and it was shown that the policy enhances economic growth under a production function of "increasing returns to scale" of an anchor company. Critical amounts of the production of "scale economies" that are used by the related companies to decide whether or not to invest in clusters were also shown.

An approach to automatic learning assessment based on the computational theory of perceptions

E-learning systems output a huge quantity of data on a learning process. However, it takes a lot of specialist human resources to manually process these data and generate an assessment report. Additionally, for formative assessment, the report should state the attainment level of the learning goals defined by the instructor. This paper describes the use of the granular linguistic model of a phenomenon (GLMP) to model the assessment of the learning process and implement the automated generation of an assessment report. GLMP is based on fuzzy logic and the computational theory of perceptions. This technique is useful for implementing complex assessment criteria using inference systems based on linguistic rules. Apart from the grade, the model also generates a detailed natural language progress report on the achieved proficiency level, based exclusively on the objective data gathered from correct and incorrect responses. This is illustrated by applying the model to the assessment of Dijkstra’s algorithm learning using a visual simulation-based graph algorithm learning environment, called GRAPHs

Using Emotion to Foster Acceptance: A Treatment Approach for Family Therapists Working with Transgender Adolescents and their Families

Currently, there is limited research and clinical focus on family therapy with transgender adolescents. When an adolescent discloses his/her transgender identity to his/her family, the family can experience an array of emotions, such as fear, distrust, anger, and sadness, along with confusion and invalidating behavior that can threaten secure attachment among family members. The purpose of this paper is to present a family therapy treatment approach for therapists working with transgender adolescents that is both culturally sensitive to the needs of these families as well as based on a systemic family therapy model. Emotionally Focused Family Therapy (EFFT) is a systemic model that is grounded in attachment theory and focuses on using emotion as a key tool in restructuring problematic relational patterns and fostering more secure family bonds. Through the use of a hypothetical case study, this paper aims at illustrating how EFFT can help family members process feelings related to the transgender identity of an adolescent family member and restore their attachment in a manner that strengthens family relationships and bonds.

Mathematical theory of human relations, an approach to a mathematical biology of social phenomena.

Includes "References."

Astronomy of the satellites of the Earth, Jupiter and Saturn : grounded upon Sir Isaac Newton's theory of the Earth's satellite ... Also new tables of the motions of the satellites of Jupiter and Saturn ... by which their places and position ... may be exactly determined at any given time. Adapted to the meridian of London. To which is added a problem to find the latitude of the place by the altitude of the sun, moon, or star, upon any azimuth ... /

Mode of access: Internet.

High-pressure adsorption of supercritical gases on activated carbons: An improved approach based on the density functional theory and the bender equation of state

Adsorption of nitrogen, argon, methane, and carbon dioxide on activated carbon Norit R1 over a wide range of pressure (up to 50 MPa) at temperatures from 298 to 343 K (supercritical conditions) is analyzed by means of the density functional theory modified by incorporating the Bender equation of state, which describes the bulk phase properties with very high accuracy. It has allowed us to precisely describe the experimental data of carbon dioxide adsorption slightly above and below its critical temperatures. The pore size distribution (PSD) obtained with supercritical gases at ambient temperatures compares reasonably well with the PSD obtained with subcritical nitrogen at 77 K. Our approach does not require the skeletal density of activated carbon from helium adsorption measurements to calculate excess adsorption. Instead, this density is treated as a fitting parameter, and in all cases its values are found to fall into a very narrow range close to 2000 kg/m(3). It was shown that in the case of high-pressure adsorption of supercritical gases the PSD could be reliably obtained for the range of pore width between 0.6 and 3 run. All wider pores can be reliably characterized only in terms of surface area as their corresponding excess local isotherms are the same over a practical range of pressure.

Martensite Crystallography - the apparent controversy between the infinitesimal deformation approach and the phenomenological theory of martensitic transformations

The aim of this article is to demonstrate that the apparent controversy between the infinitesimal deformation (ID) approach and the phenomenological theory of martensitic transformations (PTMTs) in predicting the crystallographic characteristics of a martensitic transformation is entirely based on unjustified approximations associated with the way in which the ID calculations are performed. When applied correctly, the ID approach is shown to be absolutely identical to the PTMT. Nevertheless, there may be some advantages in using the ID approach. In particular, it is somewhat simpler than the PTMT; it is based on a physical concept that is easier to understand and, most important, it may provide a tool for investigating some of the features of martensitic transformations that have eluded explanation via the PTMT.

Developing foreign bank efficiency models for DEA grounded in finance theory

We develop foreign bank technical, cost and profit efficiency models for particular application with data envelopment analysis (DEA). Key motivations for the paper are (a) the often-observed practice of choosing inputs and outputs where the selection process is poorly explained and linkages to theory are unclear, and (b) foreign bank productivity analysis, which has been neglected in DEA banking literature. The main aim is to demonstrate a process grounded in finance and banking theories for developing bank efficiency models, which can bring comparability and direction to empirical productivity studies. We expect this paper to foster empirical bank productivity studies.

Selecting optimal instantiations of data models - Theory and validation of an ex ante approach

The schema of an information system can significantly impact the ability of end users to efficiently and effectively retrieve the information they need. Obtaining quickly the appropriate data increases the likelihood that an organization will make good decisions and respond adeptly to challenges. This research presents and validates a methodology for evaluating, ex ante, the relative desirability of alternative instantiations of a model of data. In contrast to prior research, each instantiation is based on a different formal theory. This research theorizes that the instantiation that yields the lowest weighted average query complexity for a representative sample of information requests is the most desirable instantiation for end-user queries. The theory was validated by an experiment that compared end-user performance using an instantiation of a data structure based on the relational model of data with performance using the corresponding instantiation of the data structure based on the object-relational model of data. Complexity was measured using three different Halstead metrics: program length, difficulty, and effort. For a representative sample of queries, the average complexity using each instantiation was calculated. As theorized, end users querying the instantiation with the lower average complexity made fewer semantic errors, i.e., were more effective at composing queries. (c) 2005 Elsevier B.V. All rights reserved.