peter Adwok Otto | Upper Nile University (original) (raw)

Conference Presentations by peter Adwok Otto

Study population was 627 persons only 220 were evaluated. 122(55.5%) were males, 98(44.5%) were f... more Study population was 627 persons only 220 were evaluated. 122(55.5%) were males, 98(44.5%) were female. 38(17.7%) HIV +Ve and 182(82.3%) HIV -Ve.

Countries with ‘limited resources’ and experiencing social upheaval like South Sudan invariably h... more Countries with ‘limited resources’ and experiencing social upheaval like South Sudan invariably have enhanced health care regulatory needs due to a break down in law and order.
Controlling the number and distribution of health care facilities and quality of care as well as protecting consumers from opportunistic behavior or malpractice demands special regulatory capacities

Papers by peter Adwok Otto

Journal of Molecular Structure Theochem, Aug 1, 1999

ABSTRACT The diatomic molecule HgO has been studied on the basis of the ab initio four-component ... more ABSTRACT The diatomic molecule HgO has been studied on the basis of the ab initio four-component Hartree–Fock–Dirac equations and we have determined the Gaunt correction also using first order perturbation theory. Gaussian basis sets for the atoms have been obtained by fitting the relativistic atomic radial wave functions with Gaussians. The relativistic ground state energies including the Gaunt corrections of the atoms Hg and O have been calculated in agreement with numerical calculations. Starting from the fitted s functions in the case of HgO (no other procedures worked) Gaussians were generated in a four-step procedure. The total energy belonging to the Dirac–Coulomb Hamiltonian and the Gaunt corrections for HgO were also calculated and its binding energy were also been obtained. The internuclear distances for HgO are presented at different total energies. Its equilibrium value agrees quite well with experiment.

The objective of this paper is to develop a dynamic theory of interorganizational learning and kn... more The objective of this paper is to develop a dynamic theory of interorganizational learning and knowledge acquisition in strategic alliances. Strategic alliances are becoming an increasingly important organizational form to gain access to new knowledge and to leverage existing knowledge. By establishing an alliance with one or more partners, an organization will gain valuable learning opportunities to acquire knowledge and to enhance its competitiveness. The degree with which the partners can realize their learning objectives is dependent on their absorptive capacities and the collaborative strategies adopted by the partners. These collaborative strategies may include the trust between alliance partners as well as the willingness to share existing knowledge. In order to gain insights into the dynamics of interorganizational learning and knowledge acquisition we propose a simulation model to test different conditions influencing the outcome of an alliance. Although the model is highly aggregated the results can improve our understanding of the key factors that influence the acquisition of knowledge in strategic alliances. We conclude the paper with a discussion for guidelines to assess and manage the outcome of strategic alliances.

International Journal of Decision Support System Technology, 2009

Herausforderungen an das Management, 2003

The Hard and Soft Approach to Crisis Management: A Dynamic Decision Quality Theory Peter Otto Sal... more The Hard and Soft Approach to Crisis Management: A Dynamic Decision Quality Theory Peter Otto Salvatore Belardo Zusammenfassung: Gegenstand des ... the stress created by a large stock of unprocessed information and the process rate, using the Yerkes-Dodson law, which ...

System Dynamics Review, 2008

Online community networks can help organizations improve collaboration. However, in spite of thei... more Online community networks can help organizations improve collaboration. However, in spite of their potential value, there has been little empirical research into two important network factors that determine their success: social characteristics of users and changes in operations that result from network evolution. Our research addresses these deficiencies by using a cultural framework. Derived from anthropology, it extends previous system dynamics research on online community networks. The framework acts as a lens, enabling a better understanding of the effects that changes in these factors bring to online community networks. Using data collected from Wikipedia for model calibration, our findings suggest that, contrary to conventional wisdom, removing policies that focus on building group commitment does not lower performance. The results also show that online networks need structural control, otherwise their attractiveness, credibility and, subsequently, content value might all decrease. To ensure sustainability the network must be monitored, especially during the early stages of its evolution, so that rules and regulations that ensure value and validity can be selectively employed.

System Dynamics Review, 2004

System dynamics provides a powerful support mechanism for resolving problems in highly complex an... more System dynamics provides a powerful support mechanism for resolving problems in highly complex and dynamic contexts. Effectively building a system dynamics model in a client-group environment is a challenging task, particularly with a heterogeneous clientele and a variety of stakeholders influencing the boundaries of the model. In such environments, understanding and formulating central concerns is as important as it is challenging. This article describes a group model building initiative designed to study the implications of various policies aimed at revitalizing the fishing industry in Gloucester, Massachusetts. While the iterative and interactive methods in this group modeling intervention helped fishermen and community members to communicate effectively with one another, define problems and improve their understanding of the critical interactions in the system, the resulting model was used to help the Gloucester Community Development Cooperation to communicate potential impacts of a prospective fish factory to a wider audience.

Journal of Business Research, 2008

Developing a market entry strategy is a critical activity for any firm but all the more so for th... more Developing a market entry strategy is a critical activity for any firm but all the more so for those firms that wish to successfully compete in today's challenging global economy. Unfortunately, developing a market entry strategy is an ill-structured and complex activity for which structured approaches have proven inadequate. In less structured situations, data driven and model based decision-support systems (DSS) have been shown to be of significant help to decision-makers faced with such tasks. Getting managers to use such systems, however, is a major challenge that has been the subject of considerable research in the field of DSS. As far back as the 1970's scholars identified reasons why managers are reluctant to use such systems. Among the most often cited reasons why managers are reluctant to use these systems are: they do not understand the model inherent in the DSS; they do not know when to use them; they are unable to extend the use of the DSS; or they are unable to explain the model or its output to others. This paper describes the process of building a system dynamics model that can be employed by marketing managers to help them test the effectiveness of different market entry strategies, and equally important to help them to explain the system's logic and output. The model was built in a bottom-up fashion with the help of a team of marketing managers. In this way the team that helped build the model not only felt a sense of ownership concerning the model, but were also be able to better explain and defend their proposed strategy.

Journal of Business Research, 2013

In contexts where competition is intense, growth is rapid, innovation is abundant, local conditio... more In contexts where competition is intense, growth is rapid, innovation is abundant, local conditions are idiosyncratic, and technological options are increasingly complex, the marketing manager needs to understand the dynamic forces that influence the structure of the industry in order to assess the market strategic value. The problems are made even more difficult when much of the information available is qualitative, not quantitative. In order to reduce endless complexities and produce manageable simplicities, the study proposes a workable systems methodology and a holistic frame of reference that allows managers to focus on relevant issues and avoid the endless search for more details, while drowning in proliferating useless information. This paper presents two cases illustrating systems approaches to marketing strategy and decision-making. The purposes are to contrast a qualitative mapping theory building approach and a quantitative group model building approach to help client groups think systemically about marketing dynamics, and to draw out implications for research and practice in marketing strategy.

Journal of Business Research, 2008

This special issue of the JBR illustrates a range of applications of modeling and simulation from... more This special issue of the JBR illustrates a range of applications of modeling and simulation from the system dynamics perspective to problems in marketing and related areas. The papers pertain to the diffusion of new products and technologies, advertising effectiveness, management decision-making, forecasting, project dynamics, and innovation and leadership. Papers presented in this special issue were selected from submissions to attend a two-day workshop on applications of system dynamics in marketing, held at the

International Journal of Information Technologies and Systems Approach, 2000

ABSTRACT The objective of this paper is to develop a dynamic theory of interorganizational learni... more ABSTRACT The objective of this paper is to develop a dynamic theory of interorganizational learning and knowledge acquisition in strategic alliances. Strategic alliances are becoming an increasingly important organizational form to gain access to new knowledge and to leverage existing knowledge. By establishing an alliance with one or more partners, an organization will gain valuable learning opportunities to acquire knowledge and to enhance its competitiveness. The degree to which the partners can realize their learning objectives is dependent on their absorptive capacities and the collaborative strategies adopted by the partners. These collaborative strategies may include the trust between alliance partners as well as the willingness to share existing knowledge. In order to gain insights into the dynamics of interorganizational learning and knowledge acquisition, the authors propose a simulation model to test different conditions influencing the outcome of an alliance. The results can improve our understanding of the key factors that influence the acquisition of knowledge in strategic alliances. The paper concludes with a discussion of guidelines to assess and manage the outcome of strategic alliances.

Journal of Statistical Physics, 2007

We derive probabilistic limit theorems that reveal the intricate structure of the phase transitio... more We derive probabilistic limit theorems that reveal the intricate structure of the phase transitions in a mean-field version of the Blume-Emery-Griffiths model [4]. These probabilistic limit theorems consist of scaling limits for the total spin and moderate deviation principles (MDPs) for the total spin. The model under study is defined by a probability distribution that depends on the parameters n, β, and K, which represent, respectively, the 1 Costeniuc, Ellis, and Otto: Critical Behavior of Probabilistic Limit Theorems 2 number of spins, the inverse temperature, and the interaction strength. The intricate structure of the phase transitions is revealed by the existence of 18 scaling limits and 18 MDPs for the total spin. These limit results are obtained as (β, K) converges along appropriate sequences (β n , K n ) to points belonging to various subsets of the phase diagram, which include a curve of second-order points and a tricritical point. The forms of the limiting densities in the scaling limits and of the rate functions in the MDPs reflect the influence of one or more sets that lie in neighborhoods of the critical points and the tricritical point. Of all the scaling limits, the structure of those near the tricritical point is by far the most complex, exhibiting new types of critical behavior when observed in a limit-theorem phase diagram in the space of the two parameters that parametrize the scaling limits.

International Computer Music Conference Proceedings, 1992

Study population was 627 persons only 220 were evaluated. 122(55.5%) were males, 98(44.5%) were f... more Study population was 627 persons only 220 were evaluated. 122(55.5%) were males, 98(44.5%) were female. 38(17.7%) HIV +Ve and 182(82.3%) HIV -Ve.

Countries with ‘limited resources’ and experiencing social upheaval like South Sudan invariably h... more Countries with ‘limited resources’ and experiencing social upheaval like South Sudan invariably have enhanced health care regulatory needs due to a break down in law and order.
Controlling the number and distribution of health care facilities and quality of care as well as protecting consumers from opportunistic behavior or malpractice demands special regulatory capacities

Journal of Molecular Structure Theochem, Aug 1, 1999

ABSTRACT The diatomic molecule HgO has been studied on the basis of the ab initio four-component ... more ABSTRACT The diatomic molecule HgO has been studied on the basis of the ab initio four-component Hartree–Fock–Dirac equations and we have determined the Gaunt correction also using first order perturbation theory. Gaussian basis sets for the atoms have been obtained by fitting the relativistic atomic radial wave functions with Gaussians. The relativistic ground state energies including the Gaunt corrections of the atoms Hg and O have been calculated in agreement with numerical calculations. Starting from the fitted s functions in the case of HgO (no other procedures worked) Gaussians were generated in a four-step procedure. The total energy belonging to the Dirac–Coulomb Hamiltonian and the Gaunt corrections for HgO were also calculated and its binding energy were also been obtained. The internuclear distances for HgO are presented at different total energies. Its equilibrium value agrees quite well with experiment.

The objective of this paper is to develop a dynamic theory of interorganizational learning and kn... more The objective of this paper is to develop a dynamic theory of interorganizational learning and knowledge acquisition in strategic alliances. Strategic alliances are becoming an increasingly important organizational form to gain access to new knowledge and to leverage existing knowledge. By establishing an alliance with one or more partners, an organization will gain valuable learning opportunities to acquire knowledge and to enhance its competitiveness. The degree with which the partners can realize their learning objectives is dependent on their absorptive capacities and the collaborative strategies adopted by the partners. These collaborative strategies may include the trust between alliance partners as well as the willingness to share existing knowledge. In order to gain insights into the dynamics of interorganizational learning and knowledge acquisition we propose a simulation model to test different conditions influencing the outcome of an alliance. Although the model is highly aggregated the results can improve our understanding of the key factors that influence the acquisition of knowledge in strategic alliances. We conclude the paper with a discussion for guidelines to assess and manage the outcome of strategic alliances.

International Journal of Decision Support System Technology, 2009

Herausforderungen an das Management, 2003

The Hard and Soft Approach to Crisis Management: A Dynamic Decision Quality Theory Peter Otto Sal... more The Hard and Soft Approach to Crisis Management: A Dynamic Decision Quality Theory Peter Otto Salvatore Belardo Zusammenfassung: Gegenstand des ... the stress created by a large stock of unprocessed information and the process rate, using the Yerkes-Dodson law, which ...

System Dynamics Review, 2008

Online community networks can help organizations improve collaboration. However, in spite of thei... more Online community networks can help organizations improve collaboration. However, in spite of their potential value, there has been little empirical research into two important network factors that determine their success: social characteristics of users and changes in operations that result from network evolution. Our research addresses these deficiencies by using a cultural framework. Derived from anthropology, it extends previous system dynamics research on online community networks. The framework acts as a lens, enabling a better understanding of the effects that changes in these factors bring to online community networks. Using data collected from Wikipedia for model calibration, our findings suggest that, contrary to conventional wisdom, removing policies that focus on building group commitment does not lower performance. The results also show that online networks need structural control, otherwise their attractiveness, credibility and, subsequently, content value might all decrease. To ensure sustainability the network must be monitored, especially during the early stages of its evolution, so that rules and regulations that ensure value and validity can be selectively employed.

System Dynamics Review, 2004

System dynamics provides a powerful support mechanism for resolving problems in highly complex an... more System dynamics provides a powerful support mechanism for resolving problems in highly complex and dynamic contexts. Effectively building a system dynamics model in a client-group environment is a challenging task, particularly with a heterogeneous clientele and a variety of stakeholders influencing the boundaries of the model. In such environments, understanding and formulating central concerns is as important as it is challenging. This article describes a group model building initiative designed to study the implications of various policies aimed at revitalizing the fishing industry in Gloucester, Massachusetts. While the iterative and interactive methods in this group modeling intervention helped fishermen and community members to communicate effectively with one another, define problems and improve their understanding of the critical interactions in the system, the resulting model was used to help the Gloucester Community Development Cooperation to communicate potential impacts of a prospective fish factory to a wider audience.

Journal of Business Research, 2008

Developing a market entry strategy is a critical activity for any firm but all the more so for th... more Developing a market entry strategy is a critical activity for any firm but all the more so for those firms that wish to successfully compete in today's challenging global economy. Unfortunately, developing a market entry strategy is an ill-structured and complex activity for which structured approaches have proven inadequate. In less structured situations, data driven and model based decision-support systems (DSS) have been shown to be of significant help to decision-makers faced with such tasks. Getting managers to use such systems, however, is a major challenge that has been the subject of considerable research in the field of DSS. As far back as the 1970's scholars identified reasons why managers are reluctant to use such systems. Among the most often cited reasons why managers are reluctant to use these systems are: they do not understand the model inherent in the DSS; they do not know when to use them; they are unable to extend the use of the DSS; or they are unable to explain the model or its output to others. This paper describes the process of building a system dynamics model that can be employed by marketing managers to help them test the effectiveness of different market entry strategies, and equally important to help them to explain the system's logic and output. The model was built in a bottom-up fashion with the help of a team of marketing managers. In this way the team that helped build the model not only felt a sense of ownership concerning the model, but were also be able to better explain and defend their proposed strategy.

Journal of Business Research, 2013

In contexts where competition is intense, growth is rapid, innovation is abundant, local conditio... more In contexts where competition is intense, growth is rapid, innovation is abundant, local conditions are idiosyncratic, and technological options are increasingly complex, the marketing manager needs to understand the dynamic forces that influence the structure of the industry in order to assess the market strategic value. The problems are made even more difficult when much of the information available is qualitative, not quantitative. In order to reduce endless complexities and produce manageable simplicities, the study proposes a workable systems methodology and a holistic frame of reference that allows managers to focus on relevant issues and avoid the endless search for more details, while drowning in proliferating useless information. This paper presents two cases illustrating systems approaches to marketing strategy and decision-making. The purposes are to contrast a qualitative mapping theory building approach and a quantitative group model building approach to help client groups think systemically about marketing dynamics, and to draw out implications for research and practice in marketing strategy.

Journal of Business Research, 2008

This special issue of the JBR illustrates a range of applications of modeling and simulation from... more This special issue of the JBR illustrates a range of applications of modeling and simulation from the system dynamics perspective to problems in marketing and related areas. The papers pertain to the diffusion of new products and technologies, advertising effectiveness, management decision-making, forecasting, project dynamics, and innovation and leadership. Papers presented in this special issue were selected from submissions to attend a two-day workshop on applications of system dynamics in marketing, held at the

International Journal of Information Technologies and Systems Approach, 2000

ABSTRACT The objective of this paper is to develop a dynamic theory of interorganizational learni... more ABSTRACT The objective of this paper is to develop a dynamic theory of interorganizational learning and knowledge acquisition in strategic alliances. Strategic alliances are becoming an increasingly important organizational form to gain access to new knowledge and to leverage existing knowledge. By establishing an alliance with one or more partners, an organization will gain valuable learning opportunities to acquire knowledge and to enhance its competitiveness. The degree to which the partners can realize their learning objectives is dependent on their absorptive capacities and the collaborative strategies adopted by the partners. These collaborative strategies may include the trust between alliance partners as well as the willingness to share existing knowledge. In order to gain insights into the dynamics of interorganizational learning and knowledge acquisition, the authors propose a simulation model to test different conditions influencing the outcome of an alliance. The results can improve our understanding of the key factors that influence the acquisition of knowledge in strategic alliances. The paper concludes with a discussion of guidelines to assess and manage the outcome of strategic alliances.

Journal of Statistical Physics, 2007

We derive probabilistic limit theorems that reveal the intricate structure of the phase transitio... more We derive probabilistic limit theorems that reveal the intricate structure of the phase transitions in a mean-field version of the Blume-Emery-Griffiths model [4]. These probabilistic limit theorems consist of scaling limits for the total spin and moderate deviation principles (MDPs) for the total spin. The model under study is defined by a probability distribution that depends on the parameters n, β, and K, which represent, respectively, the 1 Costeniuc, Ellis, and Otto: Critical Behavior of Probabilistic Limit Theorems 2 number of spins, the inverse temperature, and the interaction strength. The intricate structure of the phase transitions is revealed by the existence of 18 scaling limits and 18 MDPs for the total spin. These limit results are obtained as (β, K) converges along appropriate sequences (β n , K n ) to points belonging to various subsets of the phase diagram, which include a curve of second-order points and a tricritical point. The forms of the limiting densities in the scaling limits and of the rate functions in the MDPs reflect the influence of one or more sets that lie in neighborhoods of the critical points and the tricritical point. Of all the scaling limits, the structure of those near the tricritical point is by far the most complex, exhibiting new types of critical behavior when observed in a limit-theorem phase diagram in the space of the two parameters that parametrize the scaling limits.

International Computer Music Conference Proceedings, 1992

ABSTRACT Zum Vol. I von: Computer science meets automation: 52. IWK, Internationales Wissenschaft... more ABSTRACT Zum Vol. I von: Computer science meets automation: 52. IWK, Internationales Wissenschaftliches Kolloquium ; proceedings ; 10 - 13 September 2007 Zum Vol. II von: Computer science meets automation: 52. IWK, Internationales Wissenschaftliches Kolloquium ; proceedings ; 10 - 13 September 2007