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The purpose of the study is to explore the dominant ideas in research on the management of time in construction. The focus of research has been to improve techniques for optimising the timing and sequence of activities.

A critical review of research on construction time management, challenging the typical focus. We examine the assumptions different authors make, underline the limitations of the dominant research approaches and examine the prospects for developing a new approach to researching these issues.

The dominant approach in literature focuses on unique activity traits in construction planning and measurable patterns between time-related variables. This assumes that time in construction can be managed by changing the way activities are calculated. These approaches have not been correlated with improvement in performance. Social practice theory may help to explain how programmes figure as one of many objects used during construction.

The focus is on reviewing indicative literature from key journals in construction management. The implication is that research is needed about how such documents are used in practice, which goes further than optimising plans in theory.

Future research could focus on understanding the context of construction planning practice and shift the debate from a focus on optimisation to practice.

An interpretivist approach with a focus on how tools such as planning documents are used on site. Social practice theory may provide a clearer explanation of the place of construction planning within the practice of construction management. This could provide solutions that deal effectively with stakeholder expectations around timely completion of construction projects.

Increasing competition within the global supply chain network has been pressuring managers to improve efficiencies of production systems while, at the same time, reduce manufacturing operation expenses. One well-known approach is to have better control of the manufacturing system through more accurate forecasting and efficient control. In other words, a production control paradigm with more reliable forward visibility should help in maintaining a cost-effective yet lean manufacturing environment. Hence, this study proposes a predictive decision support system for controlling and managing complex production environments and demonstrates a Visual Interactive Simulation (VIS) framework for forecasting system performances given a designated set of production control parameters. The VIS framework is applied to a real-world manufacturing system in which the primary objective is to minimize total production while maintaining consistently high throughput and controlling work-in-process level. Through this case study, we demonstrate the use and validate the effectiveness of VIS in optimization and prediction of the examined production system. Results show that the predictive VIS framework leads to better and more reliable decision making on selection of control parameters for the manufacturing system under study. Statistical analyses are incorporated to further strengthen the VIS decision-making process.

Introduction: The Great Financial Crisis of 2008 highlighted the importance of financial cycle fluctuations. While the regulatory response was to mandate higher bank capital requirements during the financial cycle upswing, academic research focussed on identifying the best performing early warning indicators to forecast financial cycle fluctuations that have proven to be often unrelated to business cycle changes. To safeguard the global financial system against the financial cycle fluctuations, Basel Committee of Banking Supervisors, based on first strands of empirical evidence, proposed the credit-to-GDP gap as the headline indicator tied to the countercyclical capital buffer. However, later research on this indicator identified certain concerns, among them subpar performance for economies with short available data series.

Aim of the Study: To this end this study aims to analyse various financial cycle indicators from a unique perspective of their potential viability under limited historical data availability.

Methods: For this purpose, a meta-study of existing research is carried out as well as an empirical study to compare performance of certain indicators for the sample of six countries in the Central, Eastern and South-Eastern European region, where long data series are not available.

Main Findings: It was found that certain approaches, among them calculation of raw credit growth rate and application of Hamilton filter, can supplement or possibly even outperform the Basel credit-to-GDP gap indicator under limited data availability.

Conclusion: Author concludes that for limited time series Basel credit-to-GDP gap can be potentially outperformed by other indicators and further research in this currently under-studied field is warranted.

Originality of the Paper: By using various financial cycle indicators that already proven their early warning prediction powers from previous research, this study focusses on their potential viability under limited historical data availability. Respective findings might be appreciated for supplementing policy-makers’ toolkits as complementary indicators in cases where there is no available long time series for financial cycle estimation, for example, such as countries that entered market economies relatively late.

The world has been gripped by the severest global financial (and economic) crisis since the Great Depression of the 1930s. How did it come about, what is being done to alleviate its consequences and, vitally, what measures should be undertaken to ensure against its recurrence are therefore questions that must be satisfactorily addressed. Preventing ‘financial crises’ from ever happening again is of course completely out of the question, they being inherent to the economic system as we understand it; rather that of those of the ‘severest’ kind. Fortunately, a vast literature has been accumulating on these issues, so the intention here is not to add to it and reinforce the perception that economists will offer more opinions on a single issue than the total membership of any assembled group thereof for the purpose. Hence, this is confined to a consideration of the most convincing explanations. Owing to space limitations, I shall not examine the recommendations for future action in all the mentioned areas but will do so for what is being offered to cater for the capital adequacy and pro-cyclicality since they are of the essence and involve many players.

We show how organizational forms shape job structures, specifically the variety and types of jobs employees hold, extending previous research on job structures in four ways. First, the social codes associated with wineries’ generalist and specialist forms constrain the number of jobs and functional areas delineated by job titles. Second, form-based constraints are weakened by institutional rules that impose categorical distinctions on organizations. Third, these constraints are stronger when there is more consensus around forms. Fourth, these constraints are contingent on the legitimacy and resources of organizations of varying ages and sizes.

Simons (1995b) suggests that most writing on empowerment often fails to recognize that empowerment requires greater control. Accordingly, we investigate the type of control via rewards and punishment systems, which fits best in the context of empowered work teams. Specifically, we hypothesized that empowerment will lead to improvement in manufacturing performance only when rewards are based on group performance, i.e. a situation where the collective benefit of both individual team members and those of the firm are maximized. Utilizing a survey methodology, four compensation types were examined, including fixed pay, fixed+non-monetary incentives, individual-based incentives, and group-based incentives. Results show that the favorable effect of work team empowerment was not observed under fixed-pay, fixed+non-monetary incentives, or individual-based incentives. In many instances, fixed-pay or individual-based incentives interact with work team empowerment to produce a negative effect on manufacturing cost, manufacturing lead time, or non-value-added-activities. On the other hand, manufacturing plants which use group-based incentives were able to reap the benefit of work team empowerment and translate that into enhanced performance.

The assessment of ecosystem services (ES) in urban areas can be an important policy instrument for both strategic directives at national and regional levels and concrete actions at municipality level. A unifying underpinning framework that combines different administrative levels through a common, consistent basis would greatly facilitate the mainstreaming of such an instrument. Three key concepts underpin this framework: urban ecosystems, nature-based solutions (NBS), and ES. First, NBS are acknowledged as the ecological assets that in the urban context can provide ES, meant as complex processes made possible through the existence of natural and seminatural systems at various scales. Second, the classification of urban ecosystems needs to be consistent with the treatment of urban areas in ecosystem accounting and with NBS levels of intervention and primary objectives. Third, by serving societal challenges, it is important to clearly frame the strategic drivers of change: whether it concerns management practices of current land use or radical conversions in land use. Finally, once such a framework will be in place, it can facilitate sustainability assessment in urban ecosystems by quantifying the presence of NBS, whose creation/maintenance assure the delivery of ES. The purpose of this chapter is to theoretically frame an ES-based approach, but this is only a first step. Many more steps are required on to concretely put this framework in practice at different administrative levels, such as strategic planning and policy setting (at national level), and urban, peri-urban, and coastal development (at municipal level).

This paper deals with the organizing of interactive product development. Developing products in interaction between firms may provide benefits in terms of specialization, increased innovation, and possibilities to perform development activities in parallel. However, the differentiation of product development among a number of firms also implies that various dependencies need to be dealt with across firm boundaries. How dependencies may be dealt with across firms is related to how product development is organized. The purpose of the paper is to explore dependencies and how interactive product development may be organized with regard to these dependencies.

The analytical framework is based on the industrial network approach, and deals with the development of products in terms of adaptation and combination of heterogeneous resources. There are dependencies between resources, that is, they are embedded, implying that no resource can be developed in isolation. The characteristics of and dependencies related to four main categories of resources (products, production facilities, business units and business relationships) provide a basis for analyzing the organizing of interactive product development.

Three in-depth case studies are used to explore the organizing of interactive product development with regard to dependencies. The first two cases are based on the development of the electrical system and the seats for Volvo’s large car platform (P2), performed in interaction with Delphi and Lear respectively. The third case is based on the interaction between Scania and Dayco/DFC Tech for the development of various pipes and hoses for a new truck model.

The analysis is focused on what different dependencies the firms considered and dealt with, and how product development was organized with regard to these dependencies. It is concluded that there is a complex and dynamic pattern of dependencies that reaches far beyond the developed product as well as beyond individual business units. To deal with these dependencies, development may be organized in teams where several business units are represented. This enables interaction between different business units’ resource collections, which is important for resource adaptation as well as for innovation. The delimiting and relating functions of the team boundary are elaborated upon and it is argued that also teams may be regarded as actors. It is also concluded that a modular product structure may entail a modular organization with regard to the teams, though, interaction between business units and teams is needed. A strong connection between the technical structure and the organizational structure is identified and it is concluded that policies regarding the technical structure (e.g. concerning “carry-over”) cannot be separated from the management of the organizational structure (e.g. the supplier structure). The organizing of product development is in itself a complex and dynamic task that needs to be subject to interaction between business units.

In this response to Day and Tate (this volume) and Markham, Groesbeck, and Swan (this volume), we clarify the concept of continuous learning from a living system's perspective and address the evolution of adaptive, generative, and transformative learning. Further, we assert that a system's drive for homeostasis is actually a fluid, continuous learning process that may vary in the rate and direction of change. Environmental triggers, readiness for learning, and feedback provide leverage points for change and learning within and across individual, group, and organizational systems. Future research is needed to identify and study the effects of these leverage points on systems’ adaptive, generative, and transformative learning.