A Contingency Approach to Knowledge Management

2016 ◽  
Vol 12 (1) ◽  
pp. 31-44 ◽  
Author(s):  
Meliha Handzic ◽  
Kursad Ozlen ◽  
Nermina Durmic
Keyword(s):  
Knowledge Management ◽  
Field Survey ◽  
Decision Makers ◽  
Superior Performance ◽  
Different Types ◽  
And Performance ◽  
Contingency View ◽  
The Impact ◽  
Best Fit ◽  
Contingency Approach

A contingency perspective of knowledge management recognises the need for a fit between knowledge management solutions (KMS) and decision making contexts which they support. In order to determine the best fit, a field survey was carried out to investigate the impact of two different types of KMS (technical and social) on decision makers' behaviour and performance in different decision contexts (simple and complex). The results provide partial support for the contingency view. As expected, the study identified social KMS as the best fit for complex contexts, based on subjects' superior performance from comparable adoption of both KMS. In contrast, the study identified that both KMS were an equally good fit for simple contexts, based on similar levels of subjects' performance, but social KMS was preferred in terms of adoption. These findings contribute to much needed empirical evidence for research and provide useful guidance for practice. However, their limitations warrant further study.

A Contingency Perspective for Knowledge Management Solutions in Different Decision-Making Contexts

2021 ◽  
pp. 1242-1257
Author(s):  
Kursad Ozlen ◽  
Meliha Handzic
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Decision Makers ◽  
Superior Performance ◽  
Partial Support ◽  
Contingency Perspective ◽  
And Performance ◽  
Contingency View ◽  
The Impact ◽  
Best Fit

A contingency perspective of knowledge management, as one of the popular ways of promoting decision making capabilities, recognizes the need for a fit between knowledge management solutions (KMS) and decision-making contexts which they support. In order to determine the best fit, a field survey was carried out to investigate the impact of two different types of KMS (technical and social) on decision makers' behavior and performance in different decision contexts (simple and complex). According to the results, there is a partial support for the contingency view. As expected, social KMS appears as the best fit for complex contexts, based on subjects' superior performance from comparable adoption of both KMS. In contrast, the results suggest that both KMS were an equally good fit for simple contexts, based on similar levels of subjects' performance, but social KMS was preferred in terms of adoption. These findings contribute to much necessary empirical evidence for research and provide useful guidance for practice. However, their limitations necessitate further study.

A Contingency Perspective for Knowledge Management Solutions in Different Decision-Making Contexts

2019 ◽  
pp. 62-77
Author(s):  
Kursad Ozlen ◽  
Meliha Handzic
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Decision Makers ◽  
Superior Performance ◽  
Partial Support ◽  
Contingency Perspective ◽  
And Performance ◽  
Contingency View ◽  
The Impact ◽  
Best Fit

A contingency perspective of knowledge management, as one of the popular ways of promoting decision making capabilities, recognizes the need for a fit between knowledge management solutions (KMS) and decision-making contexts which they support. In order to determine the best fit, a field survey was carried out to investigate the impact of two different types of KMS (technical and social) on decision makers' behavior and performance in different decision contexts (simple and complex). According to the results, there is a partial support for the contingency view. As expected, social KMS appears as the best fit for complex contexts, based on subjects' superior performance from comparable adoption of both KMS. In contrast, the results suggest that both KMS were an equally good fit for simple contexts, based on similar levels of subjects' performance, but social KMS was preferred in terms of adoption. These findings contribute to much necessary empirical evidence for research and provide useful guidance for practice. However, their limitations necessitate further study.

scholarly journals The Risk of Failure: Trial and Error Learning and Long-Run Performance

2019 ◽  
Vol 11 (1) ◽  
pp. 44-78 ◽  
Author(s):  
Steven Callander ◽  
Niko Matouschek
Keyword(s):  
Sufficient Conditions ◽  
Decision Makers ◽  
Risk Averse ◽  
Trial And Error ◽  
Improve Performance ◽  
Risk Of Failure ◽  
Long Run ◽  
Error Learning ◽  
And Performance ◽  
The Impact

Innovation is often the key to sustained progress, yet innovation itself is difficult and highly risky. Success is not guaranteed as breakthroughs are mixed with setbacks and the path of learning is typically far from smooth. How decision makers learn by trial and error and the efficacy of the process are inextricably linked to the incentives of the decision makers themselves and, in particular, to their tolerance for risk. In this paper, we develop a model of trial and error learning with risk averse agents who learn by observing the choices of earlier agents and the outcomes that are realized. We identify sufficient conditions for the existence of optimal actions. We show that behavior within each period varies in risk and performance and that a performance trap develops, such that low performing agents opt to not experiment and thus fail to gain the knowledge necessary to improve performance. We also show that the impact of risk reverberates across periods, leading, on average, to divergence in long-run performance across agents. (JEL D81, D83, O31, O38)

scholarly journals Leveraging Logistics Competence in New Product Sourcing: The Role of Strategic Intent and Impact on Performance

Logistics ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 24
Author(s):  
Myung Kyo Kim ◽  
Ram Narasimhan ◽  
Tobias Schoenherr
Keyword(s):  
Superior Performance ◽  
Strategic Intent ◽  
South Korean ◽  
Selection Decisions ◽  
Path Modelling ◽  
Construct Measurement ◽  
And Performance ◽  
The Impact ◽  
Moderating Role

The purpose of the present research is to examine and compare product and logistics competencies in supplier selection decisions, which can serve as a crucial building block for competitive differentiation, in the context of the unique private label (PL) supply chain. This study also hypothesizes about the impact of product and logistics competence on the retailer’s financial performance. Lastly, the moderating role of the product type in the proposed research model is explored. Partial least squares path modelling is used to analyze the dataset drawn from major South Korean retailers, due to the exploratory nature of the research and the use of both reflective and formative construct measurement items. Overall, the results of this study demonstrate that relationships between the desire for a particular strategic intent and performance are more complex than previous studies have implied. The findings of this research offer possible explanations on an important but understudied aspect of PL success: why not all PLs (even of the same retailer) are thriving even in a rapidly growing PL industry. We further elicit strategic recommendations for retailers in selecting PL suppliers and for PL manufacturers to differentiate themselves and achieve a superior performance.

Investigating Web 2.0 Application Impacts on Knowledge Workers’ Decisions and Performance

2012 ◽  
Vol 25 (4) ◽  
pp. 65-83 ◽  
Author(s):  
Haya Ajjan ◽  
Richard Hartshorne ◽  
Scott Buechler
Keyword(s):  
Knowledge Management ◽  
Web 2.0 ◽  
Positive Impact ◽  
Knowledge Workers ◽  
Internal Communication ◽  
Management Performance ◽  
And Performance ◽  
Continuous Use ◽  
The Impact

Web 2.0 applications (such as blogs, wikis, and group messaging) have been widely adopted by organizations to enhance the effectiveness of internal communication and improve knowledge management within the organization. However, predictors that impact Web 2.0 continuous use within the organization and knowledge management performance have been neither well defined nor well understood in academia and practice. This paper empirically investigates the impact of hedonic and utilitarian performance on continual usage intention of Web 2.0 applications within the organization, and then examines continuance use decision impact on knowledge management performance. The authors’ results are useful in developing guidelines and strategies to increase the likelihood of Web 2.0 continuance use and to improve its positive impact within the organization.

ADAPTIVE FUZZY LOGIC-BASED FRAMEWORK FOR HANDLING IMPRECISION AND UNCERTAINTY IN CLASSIFICATION OF BIOINFORMATICS DATASETS

2011 ◽  
Vol 08 (03) ◽  
pp. 513-534
Author(s):  
TAREK HELMY ◽  
ZEHASHEEM RASHEED ◽  
MOHAMED AL-MULHEM
Keyword(s):  
Fuzzy Logic ◽  
Classification Accuracy ◽  
Empirical Studies ◽  
Data Sets ◽  
Training Algorithms ◽  
Classification Framework ◽  
Different Types ◽  
Adaptive Fuzzy Logic ◽  
And Performance ◽  
The Impact

Classification in the emerging field of bioinformatics is a challenging task, because the information about different diseases is either insufficient or lacking in authenticity as data is collected from different types of medical equipments. In addition, the limitation of human expertise in manual diagnoses leads to incorrect diagnoses. Moreover, the information gathered from various sources is subject to imprecision and uncertainty. Imprecision arises when the data is not validated by experts. This paper presents an adaptive Type-2 Fuzzy Logic System-based (FLS) classification framework for multivariate data to diagnose different types of diseases. This framework is capable of handling imprecision and uncertainty, and its classification accuracy and performance are measured by using University of California Irvine (UCI), well-known medical data sets. The results are compared with the most common existing classifiers in both computer science and statistics literatures. This classification is performed based on the nature of inputs (e.g., singleton or nonsingleton) and on whether uncertainty is present in the system or absent. Empirical results have shown that our proposed FLS classification framework outperforms earlier implemented models with better classification accuracy. In addition, we conducted empirical studies on this classifier regarding the impact of various parameters of FLS such as training algorithms and defuzzification methods.

scholarly journals Impact of Leadership on the Relationship Between Innovation and Performance

2021 ◽  
Vol 5 (2) ◽  
pp. 29-49
Author(s):  
Cláudia Ferreira Leitão ◽  
Jorge Gomes ◽  
Denise Capela dos Santos ◽  
Bruno Melo Maia
Keyword(s):  
Middle Managers ◽  
Hotel Industry ◽  
Moderating Effect ◽  
Superior Performance ◽  
Organizational Success ◽  
Positive Correlation ◽  
Hotel Sector ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Leadership, innovation, and performance are essential factors to achieve the desired sustainable profitability of companies. The relationship between these variables is one of the keys to the organizational success, although their study has proved to be complex. The purpose of this article is to analyse the impact of leadership on the relationship between innovation and performance in the Portuguese hotel sector. To answer to this challenge, a survey was carried out to top and middle managers of four-star and five-star hotel units. The existence of a positive correlation between innovation and performance was found; however, leadership has not been shown to have a moderating effect on the relationship. The work highlights several important contributions to the hotel industry and identifies aspects that, when well implemented and developed, can lead to superior performance in organizations.

Investigating the Impact of Knowledge Management Factors on New Product Development Performance

2011 ◽  
pp. 210-226 ◽  
Author(s):  
Belbaly Nassim
Keyword(s):  
Knowledge Management ◽  
Product Development ◽  
New Product Development ◽  
Knowledge Creation ◽  
New Product ◽  
Research Model ◽  
Management Factors ◽  
And Performance ◽  
The Impact ◽  
Npd Performance

Knowledge is recognized as an important weapon for new product development (NPD) performance, and many firms are beginning to manage the knowledge detained by their new product development processes. Researchers have investigated knowledge management factors such as enablers, creation processes, and performance. However, very few studies have explored the relationship between these factors in the context of new product development (NPD). To fill this gap, this article develops a research model which applies the knowledge management factors to the NPD context. The model includes five enablers: collaboration, trust, learning, team leadership characteristics, and t-shaped skills with an emphasis on the knowledge creation processes such as socialization, externalization, combination, and internalization. The results confirm the strong support of the research model and the impact of the independent variables (knowledge management enablers) on the dependent variables (knowledge creation and NPD performance). In light of these findings, the implications for both theory and practice are discussed.

Impact of Knowledge Management Dimensions on Learning Organization

2013 ◽  
pp. 145-162
Author(s):  
Deepak Chawla ◽  
Himanshu Joshi
Keyword(s):  
Knowledge Management ◽  
Learning Organization ◽  
Positive Impact ◽  
Sustainable Competitive Advantage ◽  
Business Organizations ◽  
Business Excellence ◽  
Learning Capabilities ◽  
Organizational Ability ◽  
And Performance ◽  
The Impact

Knowledge and knowledge driven learning determines the organizational ability to achieve sustainable competitive advantage. To excel in business, organizations need to develop processes that facilitate streamline information flow resulting in enhanced learning. This paper investigates the learning capabilities demonstrated by Indian organizations and for the differences between business excellence awarded and non-awarded organizations. This paper examines the impact of Knowledge Management (KM) dimensions on Learning Organization (LO) and tests if the impact is significantly different for these groups. A convenience sample of 57 executives from 16 Indian organizations participated in the study. The results show that organizations awarded for business excellence fare better on all items of LO as compared to non-awarded ones. However, statistical difference is found only in Vision and Strategy and Performance Improvement Process. The results show that most of the KM dimensions have a positive impact on LO dimensions.

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