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In the past four decades, substantial air traffic growth has triggered enthusiasm in the aviation sector. At the same time, this growth has posed challenges to its financial and environmental sustainability commitments. A buzz has been centered on introducing and supporting aviation sustainability initiatives. These challenges have led to acknowledging the need to reduce aviation fuel consumption, a function of multiple factors. The different stakeholders having a diverse type of interplay govern the effective implementation of the factors at different decision levels (strategic, tactical and operational). Thus, the present study aims to critically examine various decision levels involved to understand opportunities and requirements related to aviation sustainability.

In this study, the best–worst method is used to quantify different decision levels’ role on various factors affecting aviation fuel consumption.

The results of this study signify that tactical-level decisions are most influential in reducing aviation fuel consumption with the highest impact (0.41) followed by operational-level decisions (0.30) and strategic-level decisions (0.29), respectively.

The results point toward the critical role of middle-level hierarchy, i.e. aircraft manufacturers, airlines and others in the aviation industry’s sustainable growth. Thus, middle-level stakeholders must be inspired and empowered to act, being at the center they link the other two levels.

This study has added to the body of knowledge by exploring the decision-making competencies needed by different aviation sector stakeholders. It also presents the possible options available in the sector and the role of stakeholders at different levels in exploiting and implementing the sustainable aviation sector changes.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The purpose of this paper is to develop an Internet of Things (IoT)-based framework for supply chain (SC) performance measurement and real-time decision alignment. The aims of the proposed model are to optimize the performance indicator based on integrated supply chain operations reference metrics.

The SC multi-dimensional structure is modeled by multi-objective optimization methods. The operational presented model considers important SC features thoroughly such as multi-echelons, several suppliers, several manufacturers and several products during multiple periods. A multi-objective mathematical programming model is then developed to yield the operational decisions with Pareto efficient performance values and solved using a well-known meta-heuristic algorithm, i.e., non-dominated sorting genetic algorithm II. Afterward, Technique for Order of Preference by Similarity to Ideal Solution method is used to determine the best operational solution based on the strategic decision maker’s idea.

This paper proposes a dynamic integrated solution for three main problems: strategic decisions in high level, operational decisions in low level and alignment of these two decision levels.

The authors propose a human intelligence-based process for high level decision and machine intelligence-based decision support systems for low level decision using a novel approach. High level and low level decisions are aligned by a machine intelligence model as well. The presented framework is based on change detection, event driven planning and real-time decision alignment.

Supplier selection problem is the key process in decision making of supply chain management. An effective selection of vendors is heavily responsible for the success of any organization. Vendor selection problem (VSP) reflects a more practical view when the decision makers involved in the problem are present on different levels. Moreover, vendor selection consists of various random parameters to be dealt with in real life. The purpose of this paper is to present a decentralized bi-level VSP where demand and supply are normal random variables and objectives are fuzzy in nature. Decision makers are present at two levels and are called as leader and follower. As the next purpose, this paper extends and presents a solution approach for fuzzy bi-level multi-objective decision-making model with stochastic constraints. Different scenarios have been developed within a real-life case study based on different sets of controlling factors under the control of leader.

This study uses chance-constrained programming and fuzzy set theory to generate the results. Stochastic constraints are converted into deterministic constraints using chance-constrained programming. Decision variables in the bi-level VSP are partitioned between the two levels and considered as controlling factors. Membership functions based on fuzzy set theory are created for the goals and controlling factors and are used to obtain the overall satisfactory solutions. The model is tested on a real-life case study of a textile industry and different scenarios are constructed based on the choice of leader’s controlling factors.

Results showed that the approach is quite helpful as it generates efficient results producing a good level of satisfaction for the decision makers of both the levels. Results showed that on choosing the vendors that are associated with worst values in terms of associated costs, vendor ratings and quota flexibilities as controlling factors by the leaders, the level of satisfaction achieved is highest. The level of satisfaction of solution is lowest for the scenario when the leader chooses to control the decision variables associated with vendors that are profiled with minimum vendor ratings. Results also showed that higher availability of materials and budget with vendors proved helpful in obtaining quota allocations. Different scenarios generate different results along with different values of satisfaction degrees and objective values which shows the flexible feature of the approach based on leader’s choice of controlling factors. Numerical results showed that the leader’s control can be effectively incorporated maintaining satisfaction levels of the followers under various scenarios or conditions.

The paper makes a certain contribution toward the study of vendor selection existing in a hierarchical manner under uncertain environment. A wide set of data of different factors is needed which can be seen as a limitation when the available time is short for the supplier selection process.

VSP which is generally adopted by most of the large organizations is characterized with hierarchical decision making. Moreover, dealing with the real-life concern, the data available for some of the parameters are not complete, representing an uncertainty of parameters. This study is quite helpful for decentralized VSP under uncertain environment to reduce the costs, improve profit margins and to create long-term relationships with selected vendors. The proposed model also provides an avenue to explore the decision making when the leader has control over some of the decision variables.

Reviewing the literature available, this is the first attempt to present a multi-objective VSP where the decision makers are at hierarchical levels considering uncertain parameters such as demand and supply as per the best knowledge of authors. This research further provides an approach to construct scenarios or different cases based on the choice of leader’s choice of controlling factors.

Five hundred financial executives from North American companies were surveyed by means of a mailed questionnaire to gain a view from outside the operations functions of the basis on which aggregate inventory decisions are taken. The response indicated that more functions than might have been expected were involved in the process of determining inventory levels and, partly because of this, policy tended to be of a shorter rather than longer term nature.

A number of interesting studies have emerged recently in the area of worker participation. Many of them discuss and analyse structures of representation and hypothesise on appropriate structures for different decision areas and for different decision levels within the organisation. They do not, however, take into account the structure of decision‐making in the organisations under discussion. Assumptions are not tested. One exception here is the study of Peccei and Warner. They examined levels of autonomy and centralisation of decision‐making in the subsidiaries of a multinational company. The present study extends this exercise (using the same methodology) to subsidiaries of a range of other larger companies, including multinationals. The purpose was to see whether the Peccei and Warner results were confirmed, secondly to examine non‐multinational subsidiaries for similar results and, thirdly, to check whether defined patterns in the decision‐making structure emerged which could be useful in discussing appropriate structures of worker participation. Some deviations from the Peccei and Warner results were noted with respect to degree of centralisation/autonomy. In particular, in the present study, highly similar patterns of centralised decision areas emerge, also the overall ranked correlation of centralised and non‐centralised decisions is highly significant for various types of decisions over a wide range of different subsidiaries. In contrast to Peccei and Warner, I would conclude that the pattern of centralisation is much more highly predictable than their conclusions imply.

Information concerning the long‐term consequences of credit repayment decisions is often not available for flexible credit facilities such as credit cards. The purpose of this paper is to investigate the role of such information in repayment decisions. A dual mental accounting model of money management predicted that repayments would be influenced by both total cost and loan duration information. Experiment 2 also investigated the role of key economic and psychological factors, including some related to a risk defusing operator model of risk management.

In two questionnaire‐based experiments bank customers (n=241; 300) were presented with credit card and remortgage repayment scenarios. In both studies, total cost and loan duration information were varied in a 2×2 randomised‐groups factorial design.

In both studies, analysis of covariance showed that information on the long‐term consequences of repayment decisions lead to significantly higher levels of repayment. However, in Experiment 2, it was found using hierarchical multiple regression that disposable income, level of education, and the perception of, and worry about, repayment difficulties had larger significant effects on repayment levels.

The effects of long‐term consequence information were interpreted in terms of mental accounting and future‐oriented thinking. The effect of concern with future repayment difficulties suggests that borrowers choose lower repayments to control such risks.

Providing total cost and loan duration information for a range of repayment levels could help borrowers make better repayment decisions.

These novel findings contribute to our understanding of borrowers’ repayment behaviour.

Reform efforts increasingly promote collaboration – admonishing principals to include both teachers and parents in democratic decision processes and encouraging teachers to work toward greater collaboration with their colleagues. The hypotheses that the level of collaboration was related to the level of trust was supported in bivariate correlational analyses. There was a significant link between collaboration with the principal and trust in the principal, collaboration with colleagues and trust in colleagues, and collaboration with parents and trust in parents. Canonical correlation reinforced the importance of trust in predicting the overall level of collaboration within a school. Among the set of trust variables, trust in clients was most influential in predicting the set of collaboration variables. Collaboration with parents was the most potent of the collaboration variables in this analysis. These finding argue for the importance of trust in nurturing collaborative relationships.

The upper-echelons model of Hambrick and Mason ((1984). Academy of Management Review, 9, 193–206) launched a new area of research and provided the first overall theoretical framework for use in understanding how the experiences, backgrounds, and values of senior executives in organizations can influence the decisions that they make. The model is typically assumed to be what Rousseau ((1985). In: B. M. Staw, & L. L. Cumming (Eds), Research in organizational behavior (Vol. 7, pp. 1–37). Greenwich, CT: JAI Press) calls “multi-level,” as it describes how both individuals and top management teams (TMTs) make decisions in line with their preferences, biases, and values; the same model is applicable to both individuals and groups. However, the levels issues in the model have never been subjected to rigorous analysis. This chapter juxtaposes levels concepts and theories on the upper-echelons model, in an effort to highlight its strengths as well as its weaknesses. While the majority of researchers use the model to describe team-level decision making, the analysis presented here reveals that the model is inherently individual-level in focus, and several important limitations must be overcome before the model will provide a full explanation of team-level decision making.

This study reviewed a body of empirical research on Carole Pateman's democratic spillover thesis, which argues that democratic participation in the workplace spill over into political participation. The review revealed significant variance in defining and measuring of workplace democracy and participation among quantitative empirical studies on the spillover thesis. The review also discovered that majority of the reviewed studies omitted higher level participation as a predictor, and political efficacy, which is a mediating mechanism between workplace participation and political behaviors, in testing the hypotheses. Suggestions for future research and limitations are discussed.