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This study aims to investigate how an individual’s perception of team goal priority can be affected by personal interaction, with co-worker support mediating the influence and communities of practice moderating the indirect effect of co-worker support.

Responses from 235 respondents working in private and public manufacturing and service enterprises in India collected through a structured questionnaire were statistically analysed using confirmatory factor analysis, structural equation modelling and PROCESS Macro with random bootstrap resample.

Findings showed a positive relationship between personal interaction and the perception of individuals about team goal priority that was partially mediated by co-worker support. Communities of practice moderated the influence of personal interaction on co-worker support and the conditional indirect effect of personal interaction on the perception of team goal priority.

The results highlight the need for greater employee collaboration towards prioritizing team goals, thus showing a psychologically collectivist attitude. Policies and procedures to create and sustain organization-level communities of practice with employees across departments and hierarchies can also be helpful. Emphasizing the social exchange perspective, the authors recommend improving the overall work climate of any organization.

This paper explains the motivating source of personal interactions and co-worker support for prioritizing team goals in an organization. Establishing the moderating role of communities of practice, the authors have confirmed the role of a social learning system in prioritizing team goals.

Construction companies typically allocate limited resources, i.e. human resources and funds, for marketing activities; so, they commonly face the problem of deciding in which marketing activities they should primarily invest and how much resource they should allocate for the selected marketing activities. Indeed, the problem of selecting the best set of marketing activities should be treated as a multi‐objective optimisation problem with multiple obligatory and flexible goals with different priorities, several interdependencies, and multiple constraints on resources. The main objective of this paper is to solve the problem of optimal allocation of scarce marketing resources using the combination of analytic network process (ANP) and zero‐one‐goal‐programming (ZOGP) models.

The research methodology of this paper mainly involves: reviewing the relevant literature on marketing and construction marketing; identifying the marketing activity alternatives in which construction companies may consider to invest; constructing an ANP model in order to calculate the importance weights of the different marketing activities; formulating a ZOGP model, which uses the weights obtained from the ANP model and considers the obligatory and flexible goals with different priorities, interdependencies and constraints on resources, that enables construction companies to optimize their scarce marketing resources; and conducting two case studies in order to illustrate how the proposed methodology works.

This paper provides construction companies with an integrated decision‐support methodology, which will assist them in allocating their limited marketing resources for different marketing activity alternatives in a more efficient way. The proposed methodology does not only consider the constraints on marketing resources and priorities of the goals that need to be satisfied but also show the deviations from the desired goals.

This paper is of benefit to construction companies as it offers an efficient and convenient tool that allows construction companies to optimise scarce marketing resources.

Certain Japanese techniques have been introduced to American management; one of these is quality control circles (QCCs). The intent of this article is to address the managerial aspects of QCCs rather than to explore their internal operation. A goal programming (GP) model is proposed and run with a microcomputer‐based program. The purpose of this model is to evaluate the multiple goals of QCCs and the allocation of available resources for QCC members' activities. This model will assist management in measuring the effectiveness of QCCs in the organisation.

Increases in industrialisation in developing countries bring bout increases in the levels of industrial waste which have to be disposed of. Increasing the efficiency of such waste disposal processes can be achieved by effective quality control systems. The objectives of waste control systems are multiple but can broadly be considered to be environmental and economic. This article shows how goal programming can be successfully applied to the type of quality control problem in which the levels of inputs and process variables are fixed in order to meet a required specification of output which is expressed by multiple characteristics. The authors conclude that the success of the approach depends crucially on the efficiency of the necessary regression analysis.

This paper seeks to develop a model for the assignment of employees to workplaces. Assignment methods are of high relevance in practice because employees should be assigned to workplaces according to their competences and preferences to ensure that motivated employees carry out tasks effectively and efficiently.

Two goal programming models are introduced with inputs and valuations using the analytic hierarchy process.

The two goal programming models for the assignment of employees to workplaces, which take into account both employee competences and preferences as well as workplace competence requirements and attributes, seem to be effective in helping to arrive at an optimal assignment decision.

In practice, one major problem is that the input data for the goal programming models are not updated regularly. Thus, the documentation of the competence profiles and the preferences of the employees might be out of date or incomplete.

The development of the two goal programming models which could be applied immediately in practical competence management is what makes the work valuable and addresses a gap in the modelling of personnel assignment methodologies.

The selection of security configurations for complex information systems is a cumbersome process. Decision-making regarding the choice of security countermeasures has to take into consideration a multitude of, often conflicting, functional and non-functional system goals. Therefore, a structured method to support crucial security decisions during a system’s design that can take account of risk whilst providing feedback on the optimal decisions within specific scenarios would be valuable.

Secure Tropos is a well-established security requirements engineering methodology, but it has no concepts of Risk, whilst Constrained Goal Models are an existing method to support relevant automated reasoning tasks. Hence we bridge these methods, by extending Secure Tropos to incorporate the concept of Risk, so that the elicitation and analysis of security requirements can be complimented by a systematic risk assessment process during a system’s design time and supporting the reasoning regarding the selection of optimal security configurations with respect to multiple system objectives and constraints, via constrained goal models.

As a means of conceptual evaluation, to give an idea of the applicability of the approach and to check if alterations may be desirable, a case study of its application to an e-government information system is presented. The proposed approach is able to generate security mechanism configurations for multiple optimisation scenarios that are provided, whilst there are limitations in terms of a natural trade-off of information levels of risk assessment that are required to be elicited.

The proposed approach adds additional value via its flexibility in permitting the consideration of different optimisation scenarios by prioritising different system goals and the automated reasoning support.

From an administrative perspective, Canada as a nation has been generally in a “state of drift.” With the exception of the anti‐inflation program, efforts made by the government during recent years have provided little in the way of specific direction. For example, The Way Ahead, a discussion paper on the future of Canada, fails to outline clearly “the economic and social directions the government intends to take after controls end” or to provide definitive “principles and strategies.” Passing references are made to national unity, balanced growth without inflation, individual freedom and opportunity, and the government's commitment to its fundamental social goals. Implicitly, these “goals” are for “a society in which all Canadians can develop their potential to the fullest degree possible, a society in which justice, compassion, tolerance and understanding lead to a strong and united Canada, a society based upon individual initiative and marked by personal freedom.”

The use of goal programming in minimising capacity waste in the Shock Absorber Department of a batch manufacturing automobile plant is illustrated. The concept of capacity waste is outlined and the objectives and constraints of capacity waste minimisation identified. Only linear objectives of the minimisation of idle time, set‐up time, work‐in‐process inventory and maximisation of profit are considered for the development of the goal programming model. The manufacture of different kinds of piston rods for various makes of shock absorbers are described and relevant data pertaining to processing time, setup time, work‐in‐process inventory, etc, are presented. A goal programming model, formulated for the problem, is analysed for different priority structures.

This study aims to determine the optimum model of oil palm empty bunches (OPEB) management, to determine the optimal number of OPEB in waste management, which is then recommended to the company, and to know the achievement of various goals/targets with limited availability of resources.

This research uses quantitative and qualitative approaches. Quantitative approach is done by processing the data for financing and profit analysis in OPEB waste management which is then used for resource approach. A qualitative approach is undertaken for weighing purposes in the analytic hierarchical program (AHP) analysis. The research location was determined purposively in the crude palm oil mill of PT. Pundi Lahan Khatulistiwa in Ambawang, Kubu Raya Regency.

In order that the optimal settlement can achieve the goal/target of minimal environmental pollution, low cost and profit gain, the amount of OPEB that must be managed by the company is 311 tons prioritized for productive plants compost of 66.67 tons, organic fertilizer of 11 tons and mushroom growing media of 233.33 tons. Consequently, the company's cost of IDR 4.000.000.000 still spares IDR 2.004.694.000. The OPEB management as oyster mushroom promises a relatively high profit compared to other OPEB managements even though the cost is not the least.

This research is one of the few studies that examines the waste management model of palm oil empty bunches, mainly located in West Kalimantan, Indonesia. Originality is seen from the use of optimization analysis tools with integration of AHP with goal programming.

The purpose of this paper is to explain to what degree supplier relationship obstacles and operational tool obstacles hinder supply chain integration of the performance management (PM) process.

This is a hypothetical‐deductive study, where the results are based on a survey of 257 purchasing managers in nine manufacturing industries in Sweden.

Supplier relationship obstacles (lack of trust, different goals and priorities and lack of parallel communication structure) were found to significantly hinder PM process integration the most, which is in accordance with previous studies. The operational tool obstacles (manual performance data management and non‐standardized performance metrics) were seen on an overall level to hinder PM process integration. However, the hypothesis that non‐standardized performance metrics hinder PM process integration was not verified, which does not accord with previous studies.

The use of single informants in data collection presents a limitation of the study.

Contrary to previous studies, the paper has applied a broader, quantitative survey methodology, and hence provides deeper knowledge about the impact of obstacles on PM process integration. It identifies critical obstacles which are important for industry to overcome.

Most previous studies of supply chain PM are either case‐ or experience‐based. Here, hypotheses are tested on empirical data and general results presented regarding lack of supplier relationships and operational tools as obstacles for supply chain integration of PM.