The Social Psychology of Organizations.

Social Psychology of Organizations

In this Chapter, we imagine a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view.

Multiple criteria decision making

This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is motivated by two fundamental facts: 1) the different families of EAs have naturally converged in the last decade while parallel EAs (PEAs) are still lack of unified studies; and 2) there is a large number of improvements in these algorithms and in their parallelization that raise the need for a comprehensive survey. We stress the differences between the EA model and its parallel implementation throughout the paper. We discuss the advantages and drawbacks of PEAs. Also, successful applications are mentioned and open problems are identified. We propose potential solutions to these problems and classify the different ways in which recent results in theory and practice are helping to solve them. Finally, we provide a highly structured background relating to PEAs in order to make researchers aware of the benefits of decentralizing and parallelizing an EA.

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Parallelism and evolutionary algorithms

The role of trust encompasses the exchanges and interactions of a retail bank with its customers on various dimensions of online banking. Specifically lays stress on the bank-to-customer exchanges taking place through the technological interface. Hypothesizes shared value, communication and opportunistic behaviour as antecedents to trust. Trust and commitment also have a causal relationship. Proposes and empirically tests five hypotheses with a sample of 510 Internet users of various profiles in India. Develops a structural equation model (Lisrel) and establishes all hypotheses. Observes that shared value is most critical to developing trust as well as relationship commitment. Communication has a moderate influence on trust, while opportunistic behaviour has significant negative effect. Also finds higher perceived trust to enhance significantly customers' commitment in online banking transaction. An important contribution concerns how trust is developed and sustained over different levels of customer relationship in online banking. The future commitment of the customers to online banking depends on perceived trust.

A Model of Trust in Online Relationship Banking

Much research has been done in developing improved genetic algorithms (GA's). Past research has focused on the improvement of operators and parameter settings and indicates that premature convergence is still the preeminent problem in GA's. This paper presents an improved genetic algorithm based on migration and artificial selection (GAMAS). GAMAS is an algorithm whose architecture is specifically designed to confront the causes of premature convergence. Though based on simple genetic algorithms, GAMAS is not concerned with the evolution of a single population, but instead is concerned with macroevolution, or the creation of multiple populations or species, and the derivation of solutions from the combined evolutionary effects of these species. New concepts that are emphasized in this architecture are artificial selection, migration, and recycling. Experimental results show that GAMAS consistently outperforms simple genetic algorithms and alleviates the problem of premature convergence. >

The development and evaluation of an improved genetic algorithm based on migration and artificial selection

A computational fraud detection model (CFDM) was proposed for detecting fraud in financial reporting. CFDM uses a quantitative approach on textual data. It incorporates techniques that use essentially all of information contained in the textual data for fraud detection. Extant work provides a foundation for detecting deception in high and low synchronicity computer-mediated communication (CMC). CFDM provides an analytical method that has the potential for automation. It was tested on the Management's Discussion and Analysis from 10-K filings and was able to distinguish fraudulent filings from non-fraudulent ones. CFDM can serve as a screening tool where deception is suspected.

A computational model for financial reporting fraud detection

Purpose – The paper aims to present a conceptual model that better defines critical success factors to ERP implementation organized with the technology, organization and environment (TOE) framework. The paper also adds to current literature the critical success factor of trust with the vendor, system and consultant which has largely been ignored in the past.Design/methodology/approach – The paper uses past literature and theoretical and conceptual framework development to illustrate a new conceptual model that incorporates critical success factors that have both been empirically tied to ERP implementation success in the past and new insights into how trust impacts ERP implementation success.Findings – The paper finds a lack of research depicted in how trust impacts ERP implementation success and likewise a lack of a greater conceptual model organized to provide insight into ERP implementation success.Originality/value – The paper proposes a holistic conceptual framework for ERP implementation success and ...

Successful ERP implementation: an integrative model

A methodology to model the functional structure of an organization

The issue of information requirements of an organization and their specifications span two isolated territories. One territory is that of organization and management and the other belongs to technicians. There is a considerable gap between these two territories. Research in requirements engineering (technician's side) has primarily concentrated on designing and developing formal languages to document and analyze user requirements, once they have been determined. This research has ignored the organizational issues involved in information requirements determination. Research in the field of organization and management has addressed the organizational issues which affect information requirements of an organization. Various frameworks reported in the literature provide insights, but they cannot be considered as methods of determining requirements. Little work has been done on the process of determining requirements. This process must start with the understanding of an organization and end with a formal specification of information requirements. Here, it is worth emphasizing the fact that the process of determining and specifying information requirements of an organization is very different from the process of specifying design requirements of an information system. Therefore, program design methodologies, which are helpful in designing a system are not suitable for the process of determining and specifying information requirements of an organization.This paper discusses the state of the art in information requirements determination methodologies. Excluded are those methodologies which emphasize system design and have little to offer for requirements determination of an organization.

Surya B. Yadav

Papers

The development and evaluation of an improved genetic algorithm based on migration and artificial selection

A computational model for financial reporting fraud detection

Successful ERP implementation: an integrative model

A methodology to model the functional structure of an organization

Determining an organization's information requirements: a state of the art survey