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This study aims to know to what extent do the commercial and residential estate markets move together in different economies? Do the shocks originating in one of these markets spillover to the other markets?

The authors apply a modified version of the dynamic factor model to commercial and residential real estate prices in the Euro area, Hong Kong, Singapore and the USA. This modified dynamic factor model decomposes price growth in these two real estate markets into common, spillover and idiosyncratic components.

The results show significant heterogeneity in the relative importance of different components in the evolution of commercial and residential price growth across different economies. The findings suggest that the spillover from the residential to commercial real estate market dominates the spillover from the commercial to real estate market for all the economies in our sample. The authors also find that the common component accounts for a large fraction of the price movements in the residential markets in the European Union (EU) area and the USA, whereas spillover and common components together explain more than two-thirds of the variations in Hong Kong and Singapore. The results suggest that the role of spillover from one market to another increased significantly during the financial crisis of 2008–2009.

This paper contributes to the existing literature on how the transmission of shocks takes place across commercial and residential real estate markets. The transmission of shocks can take place in two directions in the proposed framework. There may be a direct spillover from a shock from one market to another. This corresponds to a shock to the idiosyncratic component affecting the other idiosyncratic component. In this paper, the authors are mainly interested in indirect spillover where the shock would transmit from the idiosyncratic factor to the common factor, and then from the common factor to the other idiosyncratic factor.

This paper aims to incorporate a market wide buying and selling pressure cost component into a spread decomposition model as spread cost component.

The paper extends a commonly used trade indicator spread decomposition model to include a component common to all stocks of a specialist firm and a market wide component common to all stocks.

Strong evidence is found that specialists consider this common factor cost component when they set bid and ask quotes. Some specialist firms also take the next logical step and specifically manage their firm wide stock inventories. The common factor is in percentage terms largest for securities with the highest trade frequencies.

The relative importance of the common factor spread component decreases as the pricing grid becomes finer, but remains highly significant under the decimal trading regime.

This is the first study to document not‐security‐specific spread cost components that are common to all stocks for which a specialist firm makes markets and to all stocks in the market. Using the model it is shown that market wide uncertainty translates into spreads of individual securities.

The purpose of this paper is to test whether the 2007 identification of commonality in liquidity by Galariotis and Giouvris for the UK is robust to different methodological approaches; to find whether commonality is priced; and to identify how changes in trading regimes, hence liquidity provision, affect the relationship between commonality and excess returns.

The paper builds on the 2001 methodology of Huberman and Halka. In addition it extracts common factors using principal component analysis to test the effect of commonality on excess returns.

The findings of this paper confirm the presence of a systematic time‐varying component in UK spreads (under a different approach) even after controlling for well‐known spread determining variables.

The paper provides original evidence on the presence and the effect of systematic liquidity on asset pricing in the UK, showing that it is sensitive to the nature of trading regimes. It is concluded that in order‐driven regimes the effect of commonality on asset pricing is reduced, hence policy makers should consider this when deciding on trading systems

The purpose of this paper is to analyze business model (BM) and intellectual capital (IC) of a firm with a focus on their common elements. The common bases in the field of strategic management for these two concepts are, among others, resource-based view, knowledge-based view, intellectual capital-based view, dynamic capabilities, and configurational approach. It indicates areas in which these two concepts can benefit from each other, e.g. in classification of components, their configuration, or dynamic approach. This general review examines the following research questions: What are the common concepts for the BM and IC? What are their common components? What does the dynamic approach to IC and BM mean?

The Web of Science™ Core Collection database was selected for the period 1975-2014 and the Journal of Intellectual Capital (JIC) indexed in Scopus^® (Elsevier) was incorporated into the analysis for the period it had been indexed by Scopus (1990-2015). These databases were selected because they offer a reliable overview of historical data regarding journals, articles, and citation impact. The key filter criteria were the presence of the phrases “business model” or “intellectual capital” in the article title, abstract, and key words in order to narrow down the selection to the most appropriate results for the research area.

This paper investigates two concepts from the point of view of their underpinnings in management, definitions, and components, as well as value creation. Analysis of the foundations in management allows the author to present a cohesive model, which depicts a comprehensive approach to analysis of these two concepts. Many common elements have been identified and investigated.

First, it provides an indication of the common underpinnings of the analyzed concepts within the framework of strategic management and proposals for their development toward resource, knowledge, and IC accumulation, combination and heterogeneity-based views. Second, it presents an analysis of the BM and IC components, showing common elements between them. Third, it provides a description and analysis of dynamic view of BM and IC components in a value creation context.

The purpose of this paper is to investigate inflation convergence within the East African Community (EAC) as it aspires to become a currency union.

An unobserved dynamic factor model was used to decompose the variation in inflation into a component that is common across the countries in the EAC region and a component that is country specific. Convergence was measured by the percentage of variation in inflation that is common across countries.

The estimated results from the dynamic factor model for the pre‐EAC Treaty (1981:3 to 2000:2) period and post‐EAC Treaty (2000:3 to 2009:1) period suggest that the percentage variation in inflation in the EAC that is explained by the common regional component increased significantly during the post‐Treaty period.

One of the limitations of this paper is that it does not address the mechanism through which the convergence in a currency union is achieved. Future research should try to examine the link between convergence and different macroeconomic policies.

This paper suggests that the push towards forming a currency union in East Africa has led to a greater degree of inflation synchronization across different countries in the region.

The main contribution of this paper is to use an unobserved component model to estimate the degree of inflation synchronization in East African countries.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

This paper aims to present the dynamics of housing prices in Italian cities based on unpublished data with regional details from the late 1960s, half-yearly base, for all main Italian cities measuring the average prices for three city dimensions: city centre, sub-centres and outskirts or suburbs. It estimates the Italian long-term house price index, city based in real terms, and shows a combination of methods to deal with large time-series data.

This paper builds long-term cycles based on the city (real) data by estimating the common components of cointegrated time series and extracting the unobservable signals to build real house price index for sub-regions in Italy. Three different econometric methodologies are used: Johansen cointegration test and VAR models to identify the long-term pattern of prices at the estimated aggregate level; principal components to obtain the common (permanent and transitory) components; and signal extraction in ARIMA time series–model-based approach method to extract the unobserved time signals.

Results show three long-term cycle-trends during the period and identify several one-direction causal non-permanent relationships among house prices from different Italian areas. There is no evidence of convergence among regional’s house prices suggesting that the Italian housing prices converge inside the local market with only short diffusion effects at larger regional level.

Data are measured as the average price in squared meters, and the resulting index is not quality controlled.

The long-term trends on housing prices serve to implement further research and know deeply the evolution of Italian housing prices.

This paper contains new and unknown information about the evolution of housing prices in Italian regions and cities.

Reports a new method for preparing a product structure analysis to improve the effectiveness of the master scheduling function for products that are manufactured on an assemble‐to‐order basis. This methodology for conducting product structure analysis uses relational database management software to identify common and unique material in a product structure. Highlights example results of the application of methodology.

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 an effort to better respond to heterogeneous customer needs, an increasing number of companies in different sectors deal with the combination of high variety and frequent product changes/modifications. This entails planning, designing, purchasing and manufacturing activities and exacerbates the alignment of Sales, Production Planning and Engineering goals. This paper aims to suggest a way of improving coordination between such functional areas in contexts characterised by high variety and frequent product changes. Based on the data from an action Research study, a method for taking the contrasting requests of Sales, Production Planning and Engineering into account simultaneously and to facilitate the coordination of their activities is developed. It leverages Modular Bills and product modularity to improve inter‐functional coordination. Initial indications are promising. However, given the specific nature of the studied case, further research is required to evaluate the generalizability of the findings.