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For organizations competing in volatile environments, strategic agility is the key for sustaining in the market. It is essential for such organizations to identify the main agility indicators that contribute to their strategic core. The purpose of this paper is to propose and test a systematic methodology that identifies key agility indicators through prioritization and establishing the intra- and inter-relationships among them.

The methodology consists of four phases. Phase I forms a pool of agility key performance indicators (KPIs). Phase II categorizes and ranks the KPIs based on their importance and the gap that exists between their current and desired level. Using interpretive structural modeling, phase III establishes the intra-relationships among the KPIs as well as agility attributes, agility enablers and improvement paths, collectively referred to as agility indicators. Finally, phase IV analyzes the inter-relationships among agility indicators using three consecutive houses of quality.

To demonstrate the capability of the proposed methodology, it was applied to a dairy food company operating in a competitive environment. The application could address the shortcomings of previous agility methodologies and helped the company to assign resources to the right agility indicators with the highest influence on strategic agility.

The methodology was applied to a single organization only. The application does not include long-term post-implementation observations and measurement of strategic agility.

Practitioners can benefit from the methodology to identify the right agility indicators of their organization and assign organizational resources for the improvement of such indicators. The methodology ensures selecting indicators that contribute to organization’s strategic agility, although ostensibly seem unrelated.

The paper contributes to the literature of strategic and organizational agility by proposing a systematic methodology that considers both intra- and inter-relationships among agility indicators. The methodology also makes a decent contribution in addressing organizational ambidexterity by analyzing mutually exclusive indicators pertaining to current and future opportunities for the organization.

In today’s intense global competition, agility is advocated as a fundamental characteristic for business survival and competitiveness. The purpose of this paper is to propose a practical methodology to achieve and enhance organizational agility based on strategic objectives.

In the first step, a set of key performance indicators (KPIs) of the organization being studied are recognized and classified under the perspectives of balanced scorecard (BSC). Critical success factors are then identified by ranking the KPIs according to their importance in achieving organizational strategic objectives using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). In the second step, three houses of quality (HOQs) are constructed sequentially to identify and rank the main agile attributes, agile enablers, and improvement paths. In addition, in order to translate linguistics judgments of practitioners into numerical values in building HOQs, fuzzy logic is employed.

The capability of the proposed methodology is demonstrated by applying it to a case of a multi-national food company in Iran. Through the application, the company could find the most suitable improvement paths to improve its organizational agility.

A limited number of KPIs were chosen due to computational and visual constraints related to HOQs. Another limitation, similar to other agility studies, which facilitate decision making among agility metrics, was that the metrics were more industry-specific and less inclusive.

A strong practical advantage for the application of the methodology over directly choosing agility metrics without linking them is that through the methodology, the right metrics were selected that match organization’s core values and marketing objectives. While metrics may ostensibly seem unrelated or inappropriate, they actually contributed to the right areas where there were gaps between the current and desired level of agility. It would otherwise be impossible to choose the right metrics without a structured methodology.

This paper proposes a novel methodology for achieving organizational agility. By utilizing and linking several tools such as BSC, fuzzy TOPSIS, and quality function deployment (QFD), the proposed approach enables organizations to identify the most appropriate agile attributes, agile enablers, and subsequently agile improvement paths.

The purpose of this paper is to identify service quality dimensions that could enhance the level of services provided by a variety of carriers and rank them, accordingly.

This research aims to identify service quality dimensions that could enhance the level of services provided by a variety of carriers and rank them, accordingly.

The results show that “safety,” “timeliness,” and “variety and type of airplane” are the most important service quality criteria from the passengers’ viewpoint. It also indicates that the most and least important dimensions of service quality are “tangibles” and “responsiveness,” respectively. The results ranked the airlines from one to three as Emirates Airline, Mahan Air, and Iran Air.

Most of the service quality criteria are descriptive and are stated using lingual expressions (cardinal or ordinal scales). Therefore, evaluation of perceptions and expectations of customers regarding service quality using non-fuzzy methods ignores the ambiguity involved in individual judgments.

The purpose of this study is to investigate the influence of knowledge management critical success factors (KM CSFs) on project management performance outcomes in major construction organisations in Sri Lanka. As a result, the significant KM CSFs are prioritised to support KM implementation.

This study is cross-sectional in nature, adopting the quantitative method of analysis. The research model includes nine KM CSFs (culture, leadership, organisational structure, IT support, T-shaped skills, training, teamwork, performance measurement and benchmarking) and nine items measuring project management performance outcomes. Data were collected from senior, middle and technical staff involved in projects by means of a self-administered survey questionnaire mailed to them.

The Pearson’s correlation coefficient suggests that all of the KM CSFs are adequately correlated except for organisational structure, which has a poor correlation with IT support, T-shaped skills, teamwork and benchmarking. The results of multiple linear regression show that four KM CSFs (T-shaped skills, teamwork, benchmarking and transformational leadership) are significantly and positively related to project management performance outcomes. The remaining five KM CSFs are not significant. The multiple-criteria decision-making analysis reveals that benchmarking, transformational leadership, teamwork and T-shaped skills are the main priority for the construction organisations to consider in implementing KM.

Future studies should consider construction organisations of multiple sizes and include factors beyond organisational control, KM processes and the effects of demographic variables. Longitudinal studies are also imperative to determine the performance impact brought about by KM implementation over a period of time.

Benchmarking, transformational leadership, teamwork and T-shaped skills should serve as the initial focus to support KM implementation to achieve the desired project management performance outcomes. It is only after these KM CSFs are in place that the construction organisations can concentrate on other factors.

This study contributes to a better understanding of the relationships between the KM CSFs and project management performance outcomes in the construction industry in Sri Lanka, which is still at its infancy stage of KM implementation. Prioritisation of the significant KM CSFs in supporting effective KM implementation in the construction organisations further enhances the value of this study.

This paper aims to review the knowledge management (KM) processes, knowledge conversion modes and critical success factors (CSFs) and contextualise them to the construction setting to guide effective KM implementation.

This paper is conceptual in nature. It begins with a review of issues faced by construction organisations, which led them to consider implementing KM. This is followed by a comprehensive review of KM processes, knowledge conversion modes, KM CSFs and their application to the construction industry.

Based on the socialisation, externalisation, combination and internalisation (SECI) model, the knowledge conversion modes are discussed, linking them to the KM processes of knowledge creation, sharing, storage and application. The KM CSFs identified from construction literature suggest that they can be categorised into two groups, namely, factors within organisational control (managerial influence, technological influence and resource influence) and factors beyond organisational control (social influence, political influence, environmental influence, economic influence, industry influence and construction technology influence). The resulting review is discussed in terms of how construction organisations can implement KM effectively to achieve the desired project performance outcomes in terms of time, cost and quality.

Although this paper has made some theoretical contributions, a quantitative analysis will further reinforce its value both in theory and practice, particularly in terms of applying the KM processes and CSFs to different organisational, industry and country settings. A quantitative research is being carried out in the major construction sector in Sri Lanka to establish the relationships between the KM processes, knowledge conversion modes and KM CSFs with project performance outcomes, which will be reported in a subsequent publication.

As the construction industry uses a considerable number of knowledge workers, implementing KM for project planning and execution is the key to sustaining the growth of construction organisations and industry, particularly when KM implementation is linked to project performance outcomes. Practical implications are provided in terms of what successful KM implementation entails.

Effective KM implementation can serve as a conduit for construction organisations to build capacity and develop the ability to react quickly to social challenges brought about by different stakeholders, even before the project commences, so that the project performance outcomes will not be affected. Another social implication is the role played by project team members, in which efforts have to be put in place to facilitate the use of KM processes, so that teams can align project activities to the general good of their organisations.

A comprehensive KM framework that guides the construction industry on KM implementation is long overdue. This research represents the first of such attempts to view KM from a wider perspective, both in terms of internal and external influences affecting construction organisations. Once the conceptual framework developed is validated, it is expected to bring enormous benefits to different stakeholders.