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The purpose of this paper is to propose the input‐occupancy‐output analysis for grey situations and to manage the economic systems with missing information. The situation is realistic in practice.

During the decision‐making process of an economic system, the managers often get some uncertain data for the missing information. Then, it becomes difficult to analyze the complex system by using the input‐occupancy‐output analysis. Since the uncertain data are grey numbers, the decision maker can control it by using grey system theory and the input‐occupancy‐output analysis.

Get the grey direct consumption and occupancy coefficient matrices and the computational formulas of their matrix‐covered sets. The grey model of input‐occupancy‐output analysis and its covered solution are also obtained.

The chaos of the grey statistic data should satisfy a level of accuracy and it is key to get the number‐covered set that the true data belongs to.

A feasible approach to control the economic system that the accurate data are difficult to be obtained.

Give a new approach to study an economic system by using grey system theory.

The aim of this paper is to determine the main reasons that lead to information systems outsourcing, the reservations that are initially present in front of this kind of contract and the factors considered necessary for the success of outsourcing in the case of Spanish public universities. With this aim, a survey has been made among information systems managers in those universities. The results show the possibility of establishing a typology of universities depending on the position they have adopted with respect to outsourcing.

The study focuses on primarily big U.S. firms' joint venture activities with the Soviets after the break‐up of the former Soviet Union. It examines U.S.‐Soviet joint ventures in the following sectors: oil and gas, soft drinks, consumer products, gold mining, aircraft engines, telecommunications, and software. Data were collected by mail and interviews in order to identify the obstacles in the negotiation and operational stages of the venture. Furthermore, business and governmental organisations' recommendations as to whether or not U.S. firms should engage in joint venture activities in the Commonwealth of Independent States (CIS) were elicited.

The purpose of the present study is to identify and measure economically the losses related to inventory management in an oil refinery.

An exploratory case study was conducted to search for a better understanding of a phenomenon and its implications.

The results obtained based on the case study suggest the need to observe this phenomenon in other contexts and take managerial actions that will eliminate waste as one of the forms of generating value for the company. The results were related to each other and to the traditional metrics of inventory management and can be used as a base to improve mathematical and computational models for production planning and scheduling and also performance indicators.

No studies have been found that attempt to measure the economic losses derived from inventory management and their capacity in this environment.

The purpose of this paper is to develop a user‐oriented decision‐supporting applicable tool for selection of a single supplier out of a group of potential suppliers in a dynamic business environment over a finite planning horizon.

A qualitative and quantitative description of the impact of a change in one or several business environment parameters on current and future supplier choice; the methodology is accompanied by a visual representation of those impacts for the decision maker. The paper presents extended simulation experiments to test the proposed methodology.

A strategy of replacing suppliers over a definite planning horizon based on a forecast of the business environment is significantly (2‐9 per cent) more efficient than a strategy of relying on a single leading supplier throughout the planning horizon. This efficiency gain is greater the more the business environment is dynamic.

The proposed methodology is applicable to a broad range of service and manufacturing organizations that operate in dynamic business environments and rely on complex purchasing systems. Thanks to its simplicity, it can be applied to very large systems with a broad range of selection and/or environmental parameters.

Although the supplier selection process has been extensively studied, the literature still lacks appropriate reference to the effects of a dynamic business environment on this process.

Architectural, engineering and construction (AEC) project organizations are under constant pressure to improve the mental health of project management practitioners (PMPs) due to complexity and dynamism involved in project management practices. Drawing on institutional theory, this research explores how external environmental factors, political factors, economic factors, social factors, technological factors, environmental factors and legal factors (PESTEL), influence mental health management indicators that contribute to positive mental health.

Purposive sampling method was used to collect survey data from 82 PMPs in 60 AEC firms in Australia. Structural equation modelling was used to test the hypotheses based on 82 items of data collected from PMPs.

Overall, this study revealed interesting findings on the impact of external environmental factors on mental health. The hypothesized positive association between political factors and mental health management indicators was rejected. The data supported the proposed hypothetical correlation between economic factors and mental health management indicators and the influence of social factors on mental health management indicators. Moreover, a hypothetical relationship between technological factors and mental health management indicators was supported. The significant positive impact of environmental factors on mental health management indicators proposed was supported, and legal factors’ positive correlation on mental health management indicators was also supported.

Despite the limitations, the present findings suggest that all the external environment factors except political factors shape mental health management outcomes.