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There has been very little written discussion of how transactions should be valued in an input‐output table. Conventional wisdom, however, prefers the use of ‘basic’ prices (in which flows are valued net of distributive margins and net indirect taxes) and the first part of this paper explores the reasoning behind this approach.

The purpose of this paper is to introduce a novel approach of designing, specifying, and describing the behavior of software systems in a way that helps to predict their reliability from the reliability of the components and their interactions.

Design imperatives and relevant mathematical documentation techniques for improved reliability predictability of software systems are identified.

The design approach, which is named design for reliability predictability (DRP), integrates design for change, precise behavioral documentation and structure based reliability prediction to achieve improved reliability predictability of software systems. The specification and documentation approach builds upon precise behavioral specification of interfaces using the trace function method (TFM) and introduces a number of structure functions or connection documents. These functions capture both the static and dynamic behavior of component‐based software systems and are used as a basis for a novel document driven structure based reliability predication model.

Decades of research effort have been spent in software design, mathematical/formal specification and description and reliability prediction of software systems. However, there has been little convergence among these three areas. This paper brings a new direction where the three research areas are unified to create a new design paradigm.

The value adding of each industry represents the value difference between the outputs and inputs of that industry. The purpose of this paper is to investigate the effect of international outsourcing on the value adding of industries.

Input output analysis and linear programming are used as for the research methodology. Australian Motor Vehicle and Parts Manufacturing (AMVPM) industry as an outsourcer and its main suppliers were selected for ten alternative international outsourcing scenarios in a case study.

In all international outsourcing scenarios except the baseline scenario, the reduction in the value adding of Australia would be approximately three times more than the value adding reduction of the AMVPM industry. Moreover, the international outsourcing ratio has negative relationships with the value adding of the Australian industries and positive relationship with the international industries. Finally, it was found that the degree of supplier's dependency on the orders of the outsourcer effects the percentage reduction of supplier's value adding.

The aggregated data and the uncertainties in the technical coefficients are the main limitations of this research. The social and environmental costs, other tangible and intangible costs, as well as benefits of international outsourcing need to be further analysed in future research.

This study would help decision makers at the macro level to analyse and control the effect of international outsourcing on the value adding of their economies.

This study expands the current research at the industry level of international outsourcing by quantifying the effect of international outsourcing upon the value adding of all respected industries.

This paper aims to conduct an empirical study to investigate whether an industry’s position affects the transmission of information and economic shocks.

This paper conducts an empirical study of inventory performance based on a large panel of 71 industries in the manufacturing, wholesale and retail sectors over a 10-year period (2007–2016).

It is found that the position of a focal industry in the supply chain network moderates the impacts of macroeconomic uncertainty shocks and shocks from supplier/customer industries on the focal industry’s inventory. On the one hand, more central industries are more sensitive to macroeconomic uncertainty shocks as well as spillover shocks from their supplier and customer industries. On the other hand, uncertainty shocks from more central industries have higher impact on their partner industries than those from less central industries.

A manager needs to take into account the network positions of suppliers/customers in supply network when making inventory decisions. For example, when sharing information with partners, the network position of a partner affects how important its information is.

The key novelty of this paper is the introduction of network structure that represents the supplier–customer relationships in the entire economy, and the modeling of uncertainty shocks transmitted through the supply chain network.

This research paper uses a novel methodological approach to investigate the spillover effects among the key sectors of the US economy.

The paper links the US sectors via a node theoretic scheme based on a general equilibrium framework, whereas it estimates the general equilibrium equation as a Global Vector Autoregressive process, taking into consideration the potential existence of dominant units.

Based on our findings, the dominant sector in the US economy, for the period 1992–2015, is the sector of information technology, finance and communications, a fact that gives credence to the view that the US economy is a service-driven economy. In addition, the US economy seems to benefit by the increased labour mobility across knowledge-intensive sectors, thus avoiding the ‘employment trap’ which in turn enabled the US economy to overcome the financial crisis of 2007.

Firstly, the paper models by means of a network approach which is based on a general equilibrium framework, the linkages between the US sectors while treating the sector of information, technology, communications and finance as dominant, as dictated by its degree of centrality in the network structure. Secondly, the paper offers a robustness analysis regarding both the existence and the identification of dominant sectors (nodes) in the US economy. Thirdly, the paper studies a wide period, namely 1992–2015, fully capturing the recent global recession, while acknowledging the impact of the global crisis through the introduction of the relevant exogenous dummy variables; Lastly and most importantly, it is the first study to apply the GVAR approach in a network general equilibrium framework at the sectoral level.

The negative impact of unexpected events, such as terrorism and natural disaster, on national and regional economies has been widely recognized, but seldom quantified immediately after the shock. The objective of this paper is to present an alternative quantitative method to forecast immediate short term impacts given an unprecedented negative shock to a regional economy, including tourism related sectors. The result of application to the September 11 attack over New York City shows promising validity of using a deterministic model of an input-output/social accounting matrix, which depicts the annual flow of and interdependency of industrial sectors in the economy. This implies applicability of the method to forecast immediate impacts of negative events, while further required refinements are suggested.

This paper aims to estimate the economic impact of a basic income for each state in the USA.

Building on existing pilot studies of basic income in the USA, this paper presumes a $500 per month basic income for individuals earning less than $25,000 in annual income. Using impact analysis for planning (IMPLAN) input–output modeling software, estimated increase in gross state product and employment are provided on a state-by-state basis.

A $6,000 annual basic income ($500 per month) to adult persons earning less than $25,000 annually results in an increase in gross state product (e.g. gross “regional” product in IMPLAN terminology) ranging from 0.7% (District of Columbia) to 5.7% (Florida). Likewise, this increase in household spending will create demand for employment across these states, resulting in an increase in employment from 0.9% (District of Columbia) to 5.8% (Florida).

To date, to the best of the author’s knowledge, this is the first state-by-state analysis of the economic impact of a basic income provision to lower-income individuals.

Conventional Delphi studies use sequential questionnaires and produce rich information synthesized from the judgments of the experts who participate. However such studies are usually time‐consuming. The purpose of this paper is to describe one of the first applications of a new method of applying the Delphi principles of feedback and anonymity that can greatly reduce the time required for such studies.

This approach involves continuously updated, on‐line questionnaires and is therefore “roundless.”

The application described here is a global Millennium Project study of developments for inclusion in a series of energy scenarios. The “roundless” approach was found to produce rich information comparable to the more time consuming conventional method.

While other on‐line questionnaire systems exist, the approach described here is novel and may have wide applications.

The term “social indicator” has become familiar in recent years in reference to the quantitative measurement of social phenomena. International organisations within the United Nations family and OECD have devoted special programmes to their development, and the term is frequently used by planners, politicians and the press. It has received the accolade of scientific respectability by having a special journal to its name, research programmes of the US National Science Foundation and the United Nations University, annual volumes under its title published by statistical offices of many countries and bibliographies devoted to the literature on the subject.