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Article

Mohammad Javad Ershadi and Rouhollah Eskandari Dehdazzi

The purpose of this paper is to study the role of organizational forgetting in the impact of strategic thinking on the implementation of an organizational excellence…

Abstract

Purpose

The purpose of this paper is to study the role of organizational forgetting in the impact of strategic thinking on the implementation of an organizational excellence model. Furthermore, the factors with main effects on the implementation success of the organizational excellence model are investigated. The two main causes of organizational forgetting, including purposefulness and randomness, along with the three main factors of strategic thinking (vision, creativity and systematic thinking) also are explored. Enablers and results, which are the two key parts of an organizational excellence model are considered as well.

Design/methodology/approach

A model based on structural equations is designed, in which organizational forgetting factors, strategic thinking measures and main parts of a business excellence model are incorporated based on the literature. A total of 297 Iranian companies in which an organizational excellence model had been implemented are selected for investigation. A questionnaire is designed and distributed among the experts, middle managers and top managers of these companies. Based on Cochran’s formula, the sample size of 168 is obtained, for which the response rate is 100 percent. Main statistical measures such as χ2 ratio to degree of freedom, non-soft fitness index (RMSEA), fitness index (GFI) and modified fitness index (AGFI) are used to assess the performance of the proposed model.

Findings

According to the results of the statistical significance tests, the role of organizational obsessive mediators in the establishment of the organizational excellence model has been largely confirmed. Furthermore, the mediator role of organizational forgetting in the final impact of strategic thinking on implementing an organizational excellence model has been widely endorsed. Failure to use knowledge from learning, the inability of a company in coding and documenting knowledge and lack of incentives to share it are the most important factors in the forgetting of knowledge in companies.

Research limitations/implications

As top managers, middle managers and experts are hard to reach due to the wide geographical spread of the organization under study, a questionnaire is designed and distributed among them. The impact of organizational forgetting on other quality management systems such as ISO 9001 and ISO 4001 needs another research to be conducted in the future.

Practical implications

Using new experiences, increasing the competency of employees and managers experience through organizational learning, employee and managerial assessment and organizational strategy assessment are the main practical methods for considering organizational forgetting in the process of implementing organizational excellence models.

Originality/value

This research addresses organizational forgetting besides strategic thinking as joint main roles for implementing organizational excellence, whereas previous research works only considered strategic thinking as a factor. Furthermore, a structural equation model is developed for appraisal of effect of different factors.

Details

The TQM Journal, vol. 31 no. 4
Type: Research Article
ISSN: 1754-2731

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Book part

Miguel Belmonte and Gary Koop

This paper investigates the usefulness of switching Gaussian state space models as a tool for implementing dynamic model selection (DMS) or averaging (DMA) in time-varying…

Abstract

This paper investigates the usefulness of switching Gaussian state space models as a tool for implementing dynamic model selection (DMS) or averaging (DMA) in time-varying parameter regression models. DMS methods allow for model switching, where a different model can be chosen at each point in time. Thus, they allow for the explanatory variables in the time-varying parameter regression model to change over time. DMA will carry out model averaging in a time-varying manner. We compare our exact method for implementing DMA/DMS to a popular existing procedure which relies on the use of forgetting factor approximations. In an application, we use DMS to select different predictors in an inflation forecasting application. We find strong evidence of model switching. We also compare different ways of implementing DMA/DMS and find forgetting factor approaches and approaches based on the switching Gaussian state space model to lead to similar results.

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Article

Behzad Mahjoubpour, Farnad Nasirzadeh, Mahmoud Mohammad Hosein Zadeh Golabchi, Maryam Ramezani Khajehghiasi and Mostafa Mir

Learning as the way in which labor acquire new knowledge and skills has important strategic implications for the competitive advantage of an organization. The purpose of…

Abstract

Purpose

Learning as the way in which labor acquire new knowledge and skills has important strategic implications for the competitive advantage of an organization. The purpose of this paper is to present an agent-based modeling (ABM) approach to investigate the learning behavior of workers. The effect of interactions among different workers as well as the factors affecting the workers’ learning behavior is assessed using the proposed ABM approach.

Design/methodology/approach

For this purpose, the processes through which the competency value of worker is changed are understood and the workers’ learning behavior is modeled, taking account of various influencing factors such as knowledge flow, social ability to teach and forgetting factor.

Findings

The proposed model is implemented on a real steel structure project to evaluate its applicability and performance. The variation in the competency value of different workers involved in the project is simulated over time taking account of all the influencing factors using the proposed ABM approach.

Practical implications

In order to assess the effect of interactions among welders as well as the welders’ characteristics on their learning behavior, the competence value of different welders is evaluated.

Originality/value

This research presents an ABM approach to investigate the workers’ learning behavior. To evaluate the performance of the proposed ABM approach, it was implemented on a real steel structure project. The learning behavior of different welders (agents) was simulated taking account of their interactions as well as the factors affecting the welders’ learning behavior. The project involved the welding of a 240-ton steel structure. The initial project duration was estimated as 100 days. In this project, it has been planned to execute the welding process using three different welders namely welder A, B and C.

Details

Engineering, Construction and Architectural Management, vol. 25 no. 4
Type: Research Article
ISSN: 0969-9988

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Article

David Corkindale and John Newall

This monograph presents a thorough examination of the phenomena of “threshold” levels of advertising activity and the “wearout’ of advertisements and/or campaigns. These…

Abstract

This monograph presents a thorough examination of the phenomena of “threshold” levels of advertising activity and the “wearout’ of advertisements and/or campaigns. These are seen as corresponding to the management questions “How little can we spend/How infrequently can we advertise?” and “How much is too much/How infrequently is too little?” In the first section the relevant literature on, or related to, the two issues is reviewed. Section 2 describes a survey aimed at establishing current beliefs in the existence of the phenomena, the practices resulting from these beliefs, and the data which support them. Finally, Section 3 offers an overview on the managerial issues involved in decisions concerning threshold or wearout risks in advertising. It is suggested that wasted expenditure may be occurring in advertising because the believed levels of threshold and wearout are both too high.

Details

European Journal of Marketing, vol. 12 no. 5
Type: Research Article
ISSN: 0309-0566

Keywords

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Book part

Gary Koop and Luca Onorante

Many recent chapters have investigated whether data from internet search engines such as Google can help improve nowcasts or short-term forecasts of macroeconomic…

Abstract

Many recent chapters have investigated whether data from internet search engines such as Google can help improve nowcasts or short-term forecasts of macroeconomic variables. These chapters construct variables based on Google searches and use them as explanatory variables in regression models. We add to this literature by nowcasting using dynamic model selection (DMS) methods which allow for model switching between time-varying parameter regression models. This is potentially useful in an environment of coefficient instability and over-parameterization which can arise when forecasting with Google variables. We extend the DMS methodology by allowing for the model switching to be controlled by the Google variables through what we call “Google probabilities”: instead of using Google variables as regressors, we allow them to determine which nowcasting model should be used at each point in time. In an empirical exercise involving nine major monthly US macroeconomic variables, we find DMS methods to provide large improvements in nowcasting. Our use of Google model probabilities within DMS often performs better than conventional DMS methods.

Details

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A
Type: Book
ISBN: 978-1-78973-241-2

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Article

Wenjuan Li and Weizhi Meng

This paper aims to propose and evaluate an intrusion sensitivity (IS)-based approach regarding the detection of pollution attacks in collaborative intrusion detection…

Abstract

Purpose

This paper aims to propose and evaluate an intrusion sensitivity (IS)-based approach regarding the detection of pollution attacks in collaborative intrusion detection networks (CIDNs) based on the observation that each intrusion detection system may have different levels of sensitivity in detecting specific types of intrusions.

Design/methodology/approach

In this work, the authors first introduce their adopted CIDN framework and a newly designed aggregation component, which aims to collect feedback, aggregate alarms and identify important alarms. The authors then describe the details of trust computation and alarm aggregation.

Findings

The evaluation on the simulated pollution attacks indicates that the proposed approach is more effective in detecting malicious nodes and reducing the negative impact on alarm aggregation as compared to similar approaches.

Research limitations/implications

More efforts can be made in improving the mapping of the satisfaction level, enhancing the allocation, evaluation and update of IS and evaluating the trust models in a large-scale network.

Practical implications

This work investigates the effect of the proposed IS-based approach in defending against pollution attacks. The results would be of interest for security specialists in deciding whether to implement such a mechanism for enhancing CIDNs.

Originality/value

The experimental results demonstrate that the proposed approach is more effective in decreasing the trust values of malicious nodes and reducing the impact of pollution attacks on the accuracy of alarm aggregation as compare to similar approaches.

Details

Information & Computer Security, vol. 24 no. 3
Type: Research Article
ISSN: 2056-4961

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Article

Jia Liu and Kefan Xie

While scheduling and transporting emergency materials in disasters, the emergency materials and delivery vehicles are arriving at the distributing center constantly…

Abstract

Purpose

While scheduling and transporting emergency materials in disasters, the emergency materials and delivery vehicles are arriving at the distributing center constantly. Meanwhile, the information of the disaster reported to the government is updating continuously. Therefore, this paper aims to propose an approach to help the government make a transportation plan of vehicles in response to the disasters addressing the problem of material demand and vehicle amount continual alteration.

Design/methodology/approach

After elaborating the features and process of the emergency materials transportation, this paper proposes an emergency materials scheduling model in the case of material demand and vehicle amount continual alteration. To solve this model, the paper provides the vehicle transportation route allocation algorithm based on dynamic programming and the disaster area supply sequence self-learning algorithm based on ant colony optimization. Afterwards, the paper uses the model and the solution approach to computing the optimal transportation scheme of the food supply in Lushan earthquake in China.

Findings

The case study shows that the model and the solution approach proposed by this paper are valuable to make the emergency materials transportation scheme precise and efficient. The problem of material demand and vehicle amount changing continually during the process of the emergency materials transportation is solved promptly.

Originality/value

The model proposed by this paper improves the existing similar models in the following aspects: the model and the solution approach can not only solve the emergency materials transportation problem in the condition of varying demand and vehicle amount but also save much computing time; and the assumptions of this model are consistent with the actual situation of the emergency relief in disasters so that the model has a broad scope of application.

Details

Kybernetes, vol. 46 no. 4
Type: Research Article
ISSN: 0368-492X

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Article

Knut R. Fossum, Wenche Aarseth and Bjorn Andersen

The purpose of this paper is to explore scenario development (SD) as a method for engaging known challenges in collaborative research projects, i.e. SD is the construct…

Abstract

Purpose

The purpose of this paper is to explore scenario development (SD) as a method for engaging known challenges in collaborative research projects, i.e. SD is the construct under investigation.

Design/methodology/approach

Criticism of the dominant, rational approach to project management (PM) and its underlying hypotheses highlights a considerable PM research gap for research projects (research problem). The authors undertake a six-step constructive research approach to investigate if SD (the construct) constitutes a fruitful method to support the management of collaborative research projects. A two-part literature review summarizes known challenges in collaborative research projects and introduces the history and application of SD methodology. The work includes participatory action research (PAR) in two case studies, constituting a qualitative research method.

Findings

The authors found the SD method to be useful for structuring and analyzing intuitive project processes. However, using SD in the management of single projects presents some fundamental challenges. SD, like PM, struggles with issues related to myopic decisions, a “predict and provide” attitude with clear aspects of path dependency in the project front-end as well as inconsistent and/or missing identification of success criteria among different stakeholders.

Research limitations/implications

This paper does not provide any comprehensive, normative account of scenario techniques or compare SD with other foresight and future studies methods. Although PAR is in itself a research method that demands systematic description and execution, the focus of this paper is the overall constructive research approach.

Practical implications

The paper offers a broadened repertoire of methods to describe and analyse project stakeholder situations (collaborative aspects) and to structure and balance the need for both rational and intuitive project processes (research aspects). The SD method also supports development of graphical storylines and facilitates the use of influence diagrams, event trees and cost/benefit analysis.

Originality/value

Although PM literature contains several references to SD, the practical application of SD at single-project level has, to the authors’ knowledge, never been described in the PM literature.

Details

International Journal of Managing Projects in Business, vol. 13 no. 2
Type: Research Article
ISSN: 1753-8378

Keywords

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Book part

Timothy J. Brailsford, Jack H.W. Penm and Richard D. Terrell

This paper applies the variable forgetting factor and the fixed forgetting factor to financial time-series analysis, and establishes the linkage for the first time between…

Abstract

This paper applies the variable forgetting factor and the fixed forgetting factor to financial time-series analysis, and establishes the linkage for the first time between the variable forgetting factor approach and kernel smoothing. We then demonstrate the use of the proposed variable forgetting factor approach to undertake forecasting of the Euro's exchange rates and the CRSP monthly net asset values (NAV). For both applications, the findings show that the kernel bandwidth so determined can improve the forecasting performance.

Details

Research in Finance
Type: Book
ISBN: 978-1-84950-441-6

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Book part

T.J. Brailsford, T.J. O’Neill and J. Penm

In this chapter we use a new data weighting process to examine the relationships between stock market returns in major Southeast Asian nations. Investigation is then…

Abstract

In this chapter we use a new data weighting process to examine the relationships between stock market returns in major Southeast Asian nations. Investigation is then directed to financial integration between those ASEAN countries and the larger Asia-Pacific region.

The findings indicate that, after the Asian financial crisis, financial integration has continued in most ASEAN countries and between ASEAN countries and the larger Asia-Pacific region. Such effects can be accounted for by the forgetting factor technique. This new technique will provide revenue managers with a decision-making tool to evaluate some complex underlying relationships which managers cannot comprehend prima facie.

Details

Asia-Pacific Financial Markets: Integration, Innovation and Challenges
Type: Book
ISBN: 978-0-7623-1471-3

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