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Presents a modern definition of lobbying suitable for the use of organizational lobbyists and a theory of lobbying as conflict accommodation which arouses ethical considerations. A contingency model of effective lobbying strategies and dynamics of lobbying is developed and tested in a multiple‐case study. Finnish interest group representatives are interviewed to construct cases based on their lobbying efforts on political issues at the national and the EU‐level of political decision making. It is concluded that the definition of lobbying corresponds well to the activities of the interviewees' associations and that it is fruitful to apply the theory of conflict resolution in the study of lobbying. The new model of lobbying reflects the reality excellently. It can be used as a tool for planning and evaluating lobbying in different political issues and at different levels of political decision making.

The purpose of this paper is to predict implementation cost contingencies for residential construction projects in flood-prone areas, where floods with storms frequently cause serious damage and problems for people.

Expert interviews are conducted to identify the study variables. Based on bills of quantities and project documents, historical data on residential construction projects in flood-prone areas are collected. Pearson correlation analysis is first used to check the correlations among the study variables. To overcome multicollinearity, principal component analysis is used. Then, stepwise multiple regression analysis is used to develop the cost prediction model. Finally, non-parametric bootstrap method is used to develop range estimation of the implementation cost.

A list of project-related variables, which could significantly affect implementation costs of residential construction projects in flood-prone areas, is identified. A model, which is developed based on an integration of principle component analysis and regression analysis, is robust. Regarding range estimation, 10, 50 and 90 percent cost estimates, which could provide information about the uncertainty levels in the estimates, are established. Furthermore, implementation cost contingencies which could show information about the variability in the estimates are determined for example case projects. Such information could be critical to cost-related management of residential construction projects in flood-prone areas.

This study attempts to predict implementation cost contingencies for residential construction projects in flood-prone areas using non-parametric bootstrap method. Such contingencies could be useful for project cost budgeting and/or effective cost management.

The main objective of this paper is to show how fuzzy logic and multiple regression analysis (MRA) techniques can be used by construction companies for determining the size of contingency that will be included in bid prices for international construction projects in a more systematic way and to compare their modelling performances.

The steps followed in the execution of this study mainly consists of: conducting a literature review on international construction in order to identify the factors that may affect contingency amounts that will be included in bid prices for international construction projects; developing the general framework of the proposed contingency estimation model; designing a questionnaire based on the information gathered from the literature review, delivering these questionnaires to construction experts, and obtaining the actual data of 36 international construction projects; developing a fuzzy logic model based on expert judgments and three multiple regression analysis models (MRAM) using the collected data; and comparing the performances of these approaches.

In this study, a fuzzy logic model and three MRAM were developed. Their modelling performances were compared using actual data obtained from 36 international construction projects that had been completed by 20 large-scale Turkish construction companies in 14 different countries. It is found that the developed fuzzy logic model outperforms the MRAM built for the studied projects.

This study shows that fuzzy logic and MRA techniques can be successfully used by construction companies, which predominantly do business in foreign countries, for estimating the size of cost contingency that will be included in bid prices for international construction projects. The modelling performances of fuzzy logic and MRAM are also compared.

The purpose of this paper is to present a newly developed fuzzy-set based model for estimating, allocating, depleting, and managing contingency fund over the life cycle of construction projects.

Fuzzy set theory is utilized in the design and development of proposed contingency modelling framework to incorporate uncertainties associated with the development phases of construction projects. A set of developed indices, measures, and ratios are introduced to quantify and characterize these uncertainties. The developed framework is designed to incorporate expert opinion and provide user-system interaction.

The results obtained from the application of the developed framework on actual project case not only illustrate its accuracy, but also demonstrate its capabilities for contingency management over life cycle of construction projects. Unlike other methods, the framework provides project managers with structured method for contingency depletion utilizing a set of depletion curves and selection factors.

The novelty of the developed framework lies not only in its new developments for contingency estimating but also its modelling for contingency allocation and depletion. It is expected to be of direct value to industry professionals and academics interested in contingency management over the entire life cycle of construction projects. The proposed framework provides management functions and features beyond those generated through Monte Carlo simulation and even those developed using fuzzy set theory.

The purpose of this paper is to explore why objective setting is often found difficult and consider what to do about it. The paper critically assesses the two main managerial perspectives on objective setting before summarising evidence-based research on what works. Based on this literature review, the paper develops a contingency model of objective setting. It then describes how to use this model in practice.

The paper uses a review of the managerial and evidence-based literature on objective setting to develop a contingency model of objective setting. It describes how this model is operationalised by developing a scale to measure the differences between jobs and the situations they operate in. The model is represented diagramatically. Guidance is given on how to use the model in practice.

Result-centred and process-centred approaches to objective setting are described and critically assessed. Evidence-based research describing the relationship between objective setting and performance is also presented. In general, clear and specific goals that are challenging but realistic have a moderate effect on performance. However, this only holds for straightforward and predictable tasks. When prior knowledge is needed to perform a task or when the task is complex, a general goal, behavioural goal or learning goal is more effective. Parallels between the managerial perspectives and the contrasting situations form the basis of a contingency model of objective setting.

The relevant theory is described and critically examined. This provides useful descriptions of two different ways to go about setting objectives. The conclusions of recent studies and reviews using evidence-based research are described. They establish both what works and when it works. Taken together, these insights provide a foundation on which to develop a contingency model of objective setting.

There is no one right way to set objectives. Different situations require different approaches. It is possible to assess situations and establish the appropriate combination of perspectives. It is then possible to develop an appropriate set of objectives for the situation. Guidance is given on how to use this approach in practice. The overall approach is rooted in theory and evidence-based research.

The application of this model in the workplace can help individuals to perform more effectively. It can also help line managers, learning and development specialists, and human resource professionals to help individuals to perform more effectively. In so doing, the model helps organisations to function more effectively. This has wider implications for the economy and society.

The paper is original in that it brings together both management theory and evidence-based research to develop a contingency model of objective setting. This model as a whole and the method of assessing job characteristics are original.

The contingency approach and its relevance to theory building and research in marketing is described. The approach is delineated and its theoretical foundations traced. Several established contingency theories within the management discipline are outlined and the research they have stimulated on related topics in marketing are highlighted. An assessment of the current state of the contingency approach in marketing literature is then provided.

States that the ability to manage change is now recognized as a core organizational competence, and this is reflected in the large number of books and articles devoted to prescribing how success in this area can be achieved. Notes that although these prescriptions may vary significantly, they all tend to argue that their way is the “one best way” for all organizations. Challenges the idea that there can be a “one best way” and instead seeks to replace prescription with choice. Begins by reviewing the two main models of change ‐ the planned and emergent approaches ‐ before moving on to discuss the merits of adopting a contingency model of change. However, argues that such an approach does not offer real choice: instead it merely seeks to replace one set of prescriptions with another. Concludes by calling for a recognition that organizations do have real choices in what they change and how they change it.

Though academic research into the marketing/ entrepreneurship interface is of only relatively recent origin, it would seem that the basic principles of marketing appear to be equally valuable to both large and small firms. This article provides a critical review of the research into the role and process of marketing in small firms and attempts to classify the existing studies. In so doing, it identifies four approaches, namely the stages/growth model; the management styles model; the marketing as a management function model and the contingency model. From this, it concludes that in order to advance the theory of small business marketing a theoretical framework integrating the contingency approach and the process model appears to hold the greatest potential.

The purpose of this paper is to focus on how investments in research and development (R&D) and advertising affect the performance of small- and medium-sized enterprises (SMEs) during recessions.

Contingency theory is applied to a data set of 376 Italian clothing SMEs during the period 2000-2010 to test whether investment in R&D and advertising impacts financial performance differently when contingent factors (such as market share, financial leverage and business model change) are taken into account.

Empirical results confirm that market share and leverage moderate the effects of investments in R&D and advertising (i.e. intangibles) on performance, and also that changes in business models are an important contingent factor that explains performance. Specifically, the paper ascertains that a novelty-centered business model, together with investments in intangibles, positively affects performance during recessions.

This study offers an input to the debate on how SMEs develop and sustain their competitive advantage during the recession. It contributes to existent theory by showing whether and how contingencies, such as a firm's market share and leverage, moderate the relationship between performance and investments in R&D and advertising in SMEs. Second, it addresses the call for additional data “about the strategic effects of business models and how they influence the positioning of firms in their competitive environment” (Amit and Zott, 2008, p. 20) by introducing business model change/innovation as a new contingency factor and by empirically testing its effects on “objective measures of firm performance” (Bock et al., 2012, p. 301).

This study attempts to examine career management from a contingency perspective while making specific provisions to the Spanish cultural context. The underlying assumption is that the career focus is contingent on both the broader context (corporate business policy) and the human resource policy, namely in its staffing considerations. Although the literature on career management, from an organizational perspective, seems to indicate the existence of different models and contingencies with certain organizational variables, this study failed to support the dominance of the contingency approach in Spanish organizations. Two models of careers were identified and a tendency toward the majority use of one of the career models was found. Respectively, the contingent character of one career model was partially confirmed. All in all, both career models do not seem to be explained through the contextual variables considered in this empirical investigation.