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The purpose of this paper is to study the impact of restructuring in the manufacturing system at the conceptual stage using graph theoretic model.

Some restructuring decisions are conceptualized which reflect the aim of the organization to gradually evolve the manufacturing system towards a leaner structure. This is achieved by way of defining simplified procedures so that lesser hindrance in terms of cycles of interactions is encountered. The restructuring decisions are represented by five restructured configurations of the manufacturing system, through gradual removal of appropriate interaction links. The graph theoretic models are developed for original configuration and each of the new restructured configurations and the resulting structural characterization information is used to compare the structure of restructured configurations with the original configuration. The value of the coefficient of dissimilarity of each of the new configurations with respect to the original configuration is obtained to have a quantitative estimate of the simplification that may be achieved by different contemplated restructuring decisions.

The present work shows that the restructuring decisions can be represented by different configurations in the form of schematic diagrams involving minor changes in the interaction structure among subsystems of the manufacturing system. The quantitative analysis using coefficient of dissimilarity for restructuring decisions indicated that there are varying levels of impact created by five comparable restructuring decisions considered in the study. The findings have a potential to guide the restructuring efforts by identifying a focus area that can produce greater impact of restructuring.

The findings are valid for a particular case manufacturing organization which does not involve itself in extensive design activity. The study is based on the assumption that the schematic diagram and graph theoretic model captured all the relevant influencing factors of the manufacturing system.

The study provides an easy to use methodology for the practical decision makers in manufacturing industry striving to improve the performance of their organization. It can provide the analysis of restructuring decisions at the conceptual stage itself without the necessity of disturbing the normal functioning of the organization. There is a scope for identifying focus areas where the restructuring may yield comparatively greater dividends.

The study of restructuring by representing it in the form of changes in interactions among subsystems of a manufacturing system and investigation of the impact of such restructuring efforts at the conceptual stage using graph theoretic model has been carried out for the first time.

The purpose of this paper is to attempt to integrate manufacturing system analysis to obtain system‐wide optimized solutions and to increase the level of comprehensiveness of the manufacturing system modelling and to develop method of characterization of manufacturing systems based on its structure.

Elements constituting the manufacturing plant and the interactions between them have been identified through a literature survey and have been represented by graph‐based model. The matrix models and the variable permanent function models are developed for carrying out decomposition, characterization and the total analysis.

Structural patterns and combination sets of subsystems interacting in various ways have been recognized as capabilities of manufacturing system in different performance dimensions. The permanent function of the manufacturing system matrix has been proposed as a systematic technique for structural analysis of manufacturing system. Also, the terms of permanent multinomial characterize the manufacturing systems uniquely and are highly useful for computational storage, retrieval, communication as well as analysis of the structural information of manufacturing system.

The structure‐based characterization technique developed has the potential of aiding the ongoing research activities in the field of benchmarking, and business process reengineering. The graph theory‐based methodology will serve as a framework to develop composite performance measures building on the performance measures of the individual elements of the manufacturing system graph in various dimensions.

Through the use of proposed methodology, a manufacturing manager will be able to make better informed decisions towards organizational efforts of improving the productivity and speed. For aiding several decisions, different “what‐if” scenarios may be generated with several structural modifications.

This graph theory‐based methodology is a novel mechanism to seamlessly integrate manufacturing system giving way to system wide optimization. The paper is an attempt to address the need for comprehensive and integrated analysis of the manufacturing system.

The purpose of this paper is to try to understand the reasons for the differences in amplitude of monetary policy (MP) rate cycles in the USA and the euro area. Among the different candidates, the paper aims to test the role of economic structures, macroeconomic shocks, and MP behaviour.

The paper starts by estimating vector autoregressive models both for the USA and the euro area to identify the economic structures, the MP rules, and the macroeconomics shocks of both areas. Then, it runs counterfactual simulations (by injecting European Central Bank's (ECB) monetary rule in the US model for example) to examine which factors had the most significant impact on differences in MP activism (measured by the variance of interest rates).

The paper finds that differences implied by MP rules alone cannot explain the dissimilarity of interest rates paths. In the same way, while cyclical shocks are different in each area, they do not suffice to explain the factual divergences. Finally, it is the structural dissimilarities which essentially explain the difference in interest rate variances.

The paper brings new informations on a controversial issue and it tends to reject the official explanations given by ECB's governor who points out differences in shocks.

The purpose of this study is to investigate the impact of board diversity on corporate social responsibility (CSR). The aim is twofold; does board diversity has any effect on CSR, do structural and demographic differences between one-tier and two-tier board models may impact this effect?

This paper applies a panel generalized method of moments estimator to a sample of 2,544 non-financial listed firms from 42 countries over the period of 2013–2017.

The findings reveal that board diversity leads to effective CSR. By distinguishing between diversity among boards from diversity within boards, the results display the effects of the specific variables that make up the manner and latter’s constructs within unitary and two-tier board structures. Specifically, this paper reveals that tenure, ideology and educational level (gender and nationality) predominantly appear to drive a firm’s CSR within one (two)-tier boards settings. These results remain consistent when robustness tests are ruled.

The study provides managers, investors and policymakers with knowledge about how among and within board diversity attributes favor the decision-making process around CSR. The evidence is useful for companies in setting the criteria to identify directors who can support their strategic decisions. It benefits, moreover, academics in better understanding firms’ CSR determinants and practices under different corporate board models.

Examining how different sets of board diversity affect firms’ CSR given divergences between one-tier and two-tier board structure is a useful and informative endeavor for all community actors.

Unlike prior studies that identify the limited scope of diversity, the study is the first to examine the effect of broader dimensions of board diversity on CSR under both one-tier and two-tier board settings. This paper provides a contribution to a greater understanding of the impacts underlying board models and different attributes of board diversity on CSR. This new understanding will help to improve predictions of different features of board diversity impacts on decision-making processes around organizational outcomes.

Economic structural complementarity between country A and country B, or the way the two countries specialize in different industries is a useful tool for the analysis of the likely impact of trade liberalization. Although implicit in earlier work on economic integration, this concept has been overshadowed subsequently, probably because of the “econometrization” of the studies on trade liberalization. This paper aims to discuss first the relevance of the concept of structural complementarity between two economies in the context of regional integration. Second, since the EU and Korea are on the verge of signing a free trade agreement (FTA), it aims to show that measuring economic structural complementarity in the case of these two countries is all the more desirable.

The paper applies a number of indices such as the trade complementarity index and the Kreinin‐Finger similarity of export index to the manufacturing sector.

On the whole the EU and Korea are structurally complementary, implying large potential gains from the FTA. However, the existence of two critical industries, namely road vehicles and electrical machinery are revealed.

The FTA poses some sectoral challenges to the industries, in particular for the EU, and it calls for appropriate strategies in these areas.

This article both clarifies and measures economic structural complementarity, a concept connected with, but not reduced to that of competitiveness. By using several indicators, the present study shows that the manufacturing sectors of the EU and of Korea are on the whole complementary.

This paper aims to develop a framework for object trust evaluation and related object trust principles to facilitate knowledge management in a virtual organization. It proposes systematic methods to quantify the trust of an object and defines the concept of object trust management. The study aims to expand the domain of subject trust to object trust evaluation in terms of whether an object is correct and accurate in expressing a topic or issue and whether the object is secure and safe to execute (in the case of an executable program). By providing theoretical and empirical insights about object trust composition and combination, this research facilitates better knowledge identification, creation, evaluation, and distribution.

This paper presents two object trust principles – trust composition and trust combination. These principles provide formal methodologies and guidelines to assess whether an object has the required level of quality and security features (hence it is trustworthy). The paper uses a component‐based approach to evaluate the quality and security of an object. Formal approaches and algorithms have been developed to assess the trustworthiness of an object in different cases.

The paper provides qualitative and quantitative analysis about how object trust can be composed and combined. Novel mechanisms have been developed to help users evaluate the quality and security features of available objects.

This effort fulfills an identified need to address the challenging issue of evaluating the trustworthiness of an object (e.g. a software program, a file, or other type of knowledge element) in a loosely‐coupled system such as a virtual organization. It is the first of its kind to formally define object trust management and study object trust evaluation.

The purpose of this paper is to investigate the impact of gender on the usage of different funding sources in a sample of Finnish small‐ to medium‐sized enterprises (SMEs). The aim is also to embed the results into the country‐context, which is characterized by the long history of women's economic activity and bank‐based capital markets.

The database includes variables on terms of credit for the firms' most recent loans and detailed information on the firms' banking relationships. The total number of firm‐year observations in the database is 3,519. The analysis is based on multivariate tests.

The funding patterns of women‐owned SMEs (WOS) and men‐owned SMEs (MOS) in the data are different: WOS are more likely to use additional equity investments by current owners as a funding source. They do so at least partly because of their positive attitudes towards this funding source. The results also contradict prior studies, which indicate that MOS have easier access to bank lending. The results suggest that there are no gender‐related differences in the use of bank debt. Also in contrast to prior studies, the paper finds no differences in firm size or profitability between WOS and MOS.

The results of study both confirm and contradict the results of prior research and the paper suggests that this is due to the context‐specific features of the Finnish labour market and the gender system as well as the bank‐centered financial markets.

Concerning the issues of gender and finance, policy makers and financial experts in any country should not uncritically rely on the research results arrived at in other countries.

Only a handful of studies have investigated issues of gender and finance in SMEs embedding the results into the country‐context.

The purpose of this paper is to discuss the interplay between gender, entrepreneurial capital and firm performance. Using matched sample data, the paper considers how gender shapes the possession of entrepreneurial capital and discusses the implications of capital variance for business performance.

The methodology was designed to collect data about the entrepreneurial capital of small firm owners and the performance of their firms. A sample of 30 matched pairs of business owners (30 male, 30 female) was created. Data were collected in two stages involving a telephone survey followed by face to face semi‐structured interviews.

The findings reveal an interplay between economic, human, social and symbolic capital and suggest that our understanding of the possession and impact of entrepreneurial capital on firm performance can be advanced by recognising the convertible nature of entrepreneurial capitals. The paper also draws attention to the impact which human capital, particularly age and experience, can have on the accumulation of entrepreneurial capital.

The paper identified the value in exploring the convertibility of entrepreneurial capitals and the benefits of investigating all forms of capital.

The paper identifies gender as a critical influence and suggests that the relationship between gender and engagement in entrepreneurship should be more fully understood and addressed by policies designed to encourage and support business ownership.

The theoretical and methodological framework developed for this study lays the foundation for extending and developing literature on entrepreneurial capital and firm performance research.

Technology influences market growth and productivity, and the food industry has seen major technological and productivity method changes in recent years. The debate on genetically modified (GM) food, in particular, has been led on multiple levels in both Europe and North America. Studies to date have described the structural differences between the North American and European regulatory agencies as reasons for differing attitudes towards GM foods. The purpose of this paper is to establish a conceptual framework that puts forward a systemic view on the interconnections between corporate marketing strategies (i.e. tool makers), public policies (i.e. rule makers), and science (i.e. fact makers) when a dominant design emerges in the food industry.

This paper begins by describing the fundamental elements of the dominant design concept and the actor‐network theory (ANT). This is followed by the presentation of levers that permit the emerging agrifood dominant design to be successful. Third, these theories are applied to the appearance of GM foods in both North American and European markets. Finally,a framework is presented outlining actors' tasks associated with the emergence of an agrifood dominant design.

This research uncovered the reality that technology developers, policy makers, and research protagonists all have the capacity to change the outcome of a dominant design in the food industry. All operate under a strict set of values and objectives and may influence the adoption process. The model in this paper presents a macro perspective of the institutional dynamics of a dominant design in the food industry when it appears in any given market around the world.

This study is one of the first to systemically examine the development of technological change as a dominant design within the unique reality of the food industry. As such it makes a number of contributions which should be the subject of further study.

The purpose of this study is to examine whether being female increases the probability that an individual feels difficulty in obtaining finance is a barrier to starting a business. The study aims to extend this to examine if a pure gender effect exists or whether it is the interaction of gender with demographic, economic and perceptual characteristics that plays the most important role in the perception of financial constraint.

The data within this study are drawn from the Global Entrepreneurship Monitor (GEM) adult population survey between 2005 and 2007. The first stage of the study splits male and female respondents into separate sub‐samples and runs individual regressions on each portion of the sample. The second stage of the study combines the male and female portions of the sample to directly examine the differences in perceived financial constraint between genders.

The findings suggest that a greater proportion of women are solely constrained by financial barriers than their male counterparts. The gender of the respondent was also found to interact with a number of other personal characteristics in a significant manner.

This finding suggests that policymakers should be encouraged to market the availability of start‐up finance from various sources to encourage women to attempt to obtain the necessary finance rather than being discouraged at the first hurdle.

Although actual financial barriers faced by female entrepreneurs have been extensively studied, this is one of the first studies to focus on the concept of perceived financial constraints faced by potential female entrepreneurs.