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Purpose: The emotions that accompany failure, in and of organizations, and their consequences have been researched in multiple domains of management, but comparative approaches have seldom been attempted. The failure of organizations to survive has been a common occurrence over centuries, particularly in the modern era of start-ups, innovation, and political, economic, and environmental turbulence. With the advent of the COVID-19 pandemic, failure at many levels of society, including the organizational and individual, has increased significantly and produced even more intense emotions. Study Design/Methodology/Approach: For this conceptual chapter, literature from many disciplines was consulted on failure in organizations, and the emotions it elicit, including studies on the process of failure as well as its outcomes. Findings: Failing and failure are likely to evoke negative emotions, with negative consequences for the actor. However, positive emotions can also occur, and a matrix of emotional valence and consequences presents an intriguing set of possibilities. The dimensions of emotions (valence, intensity, duration, and frequency) interact with a wide range of contributing factors (salience, personality, identity, emotional intelligence, emotional regulation, prior experience of failure, and context) in producing the emotions of failure and their consequences. Originality/Value: This chapter contributes to the literature by explicating the types of emotions that emanate during and after failure across many domains of management research, their dimensions and contributing factors, and the consequences for the individual actor. The model of the emotions of failure that is presented here assembles a wider variety of elements than prior research has offered. We indicate avenues for further research as we approach an era of even more demanding challenges.

This paper describes the provision of a feasibility study for the development of a county leisure information service for a shire county in England, and discusses how the structural and political issues that arise are likely to be generic to any service of this type. Analysis is given of the current provision of leisure and tourist information systems, both on traditional forms of media and on the World Wide Web. A solution is proposed that enables the Local Authority and other information providers to avoid unnecessary duplication of existing databases. The argument is developed that existing leisure services must become integrated with Web developments if they are to reach potential customers, who are defined as belonging to two separate categories — county residents and visitors. Recommendations are made that would enable the target audience to be reached by establishing a Leisure Information Web System to reach audiences who maybe anywhere on the Net; and to develop Web kiosks, for use in public places, which may operate offline. The paper also discusses the possible managerial and financial implications of running this service.

This is a troubled age for democracy, but the nature of that trouble and why it is a problem for democracy is an open question, not easy to answer. Widespread wishing for responsible leaders who respect democratic norms and pursue policies to benefit people and protect the vulnerable don’t help much. The issue goes well beyond library contexts, but it is important that those in libraries think through our role in democracy as well. Micro-targeting library-centric problems won’t be effective and don’t address the key issue of this volume. The author can only address the future if we recover an understanding of the present by building up an understanding of actually-existing democracy: (1) the scope must be narrowed to accomplish the task; (2) the characteristics of the retreat from democracy should be established; (3) core working assumptions and values – what libraries are about in this context – must be established; (4) actually-existing democracy should then be characterized; (5) the role of libraries in actually-existing democracy is then explored; (6) the source and character of the threat that is driving the retreat from democracy and cutting away at the core of library assumptions and values is analyzed; (7) the chapter concludes by forming a basis of supporting libraries by unpacking their contribution to building and rebuilding democratic culture: libraries are simultaneously less and more important than is understood.

This chapter examines the effect of changes in the public debt–gross domestic product (GDP) ratio on long, 10 year, interest rates in a panel of 17 countries over the period 1870–2016 controlling for other variables, in particular the world interest rate. Over this long period, one can argue that most of the big changes in public debt were the product of factors largely exogenous to national interest rate determination, such as war, depression or financial crisis. The issue is of current relevance since the Covid-19 pandemic has caused large increases in the ratio of public debt to GDP in many countries. The estimates suggest that it is the change in debt, rather than the level of debt or the deficit that matters for long interest rates. World interest rates have long- and short-run effects on interest rates which are very well determined and close to one. Current inflation has a small but significant effect.

Reflections on gender and OD over a 50-year career as a scholar, an OD practitioner, and a woman managing a complex life and career.

My journey in OD has spanned 50 years which is also about as long organization development has been around. In this essay, I will reflect on my experiences with special attention to issues of gender. I will also mention some issues of concern that confront us as OD scholars and practitioners, especially the balance between thinking and doing. As I describe my experiences, I hope they will lead to an appreciation of all that has happened in just 50 years! My experience is not everyone’s experience. I make no claim to that. I hope that some of the issues I raise resonate with you, or fill in some blanks, or lend a different perspective.

Petri net (PN) and queuing theory are used in performance analysis of a flexible manufacturing system (FMS). They are used to determine the FMS measures of performance. These measures of performance include optimal work‐in‐process (WIP), lead time, production rate, machine utilization, and number of servers at each station. The purpose of this paper is to present a comparison between PN and queuing network tools to determine the optimum values for FMS measures of performance.

PN model with dual kanban and closed queuing network are used for analysis and performance evaluation of FMS. Integrated network analyzer and Lingo softwares are used for performance evaluation of FMS by PN tool. CANQ software is used for performance evaluation of FMS by queuing network. In both the approaches, the throughput is bounded by the utilization of the bottleneck machines.

The comparison shows that for the given number of servers, PN gives better values of performance measures for FMS. The PN optimization gives minimum WIP corresponding to the maximum production rate. Minimum WIP leads to minimum lead time.

The results are concluded based on one case study. In future research, the results may be achieved by doing more case studies with different numbers of system parameters and/or parameter settings.

Using the PN model, the production manager may design, analyze, evaluate, and even optimize the layout of the production system for minimum WIP, maximum throughput, and reduced lead time. The determination of the total WIP, total number of stations in the production system, and the number of servers at each station may be helpful in shop floor management. It may result in more production efficiency along with ease of supervision.

This paper presents a first novel comparison of its kind between PN and queuing network for evaluation of FMS.

This paper aims to explore the applicability and strengths of proposing the three-paradigm hybrid simulation (HS) approach to developing and analysing strategies. The objective of the modelling effort is to conceptually illustrate its use in strategic planning by combining with the threat-opportunity-weakness-strength (TOWS) matrix, which builds a bridge between strategic management with the operations research community. The authors also aim to introduce a modelling framework to help model designers to apply HS to their own business issues.

The paper presents a process to develop a HS model associated with the development of strategies using the TOWS matrix.

After developing the model and testing four strategies, the best option for the supermarket to increase market share and sales is implementing the strength–opportunity strategy, which involves online shopping to adapt to the digital world.

First, some modelling assumptions are used to simplify the development process, but they need further validation. Second, the real data collection is limited. Third, the personal learning edition of the simulation software is not a comprehensive version and has some limitations.

The hybrid model and the scenario planning introduced, in this study, could allow decision makers to rehearse the potential strategy before actual implementation. The framework is easy to implement to other business and industry.

This study links HS with strategic management, which has not been performed previously and evaluates the capability of HS in strategic planning. The functionality of the modelling platform has been tested for simulating a completely dynamic system.

Regular surveys by the Malta Hotels & Restaurants Association indicate a substantial improvement in the financial performance of five-star hotels in Malta in recent years. Therefore, the purpose of this paper is to investigate if this positive performance is primarily due to customer centricity by management.

The assessment is based on the findings of a quantitative study that compared the results of a demand side (customer survey) with those of a supply side (management survey). In total, 24 decision-choice criteria were framed within the four perspectives (financial, customer, internal process and employee learning/growth) of the balanced scorecard. Actual and potential customers of five-star hotels and hotel managers were asked to rank the decision-choice criteria and the balanced scorecard perspectives. The multi-criteria decision analysis was carried out by means of the AHP.

The study showed that managers in the five-star hospitality sector in Malta are in harmony with customer expectations given the strong positive correlation between the results of the customer and management surveys.

This research is limited to the island of Malta but can be easily replicated for other touristic destinations.

This study has implication for hospitality customers, hotel managers and policy makers to help them to identify weak areas of hotel performance and improve them.

The paper has developed a Prioritised scorecard, a new hybrid balanced scorecard and AHP. Targets are therefore prioritised, which allow a better allocation of scarce resources.

The different types of estimators of rational expectations models are surveyed. A key feature is that the model′s solution has to be taken into account when it is estimated. The two ways of doing this, the substitution and errors‐in‐variables methods, give rise to different estimators. In the former case, a generalised least‐squares or maximum‐likelihood type estimator generally gives consistent and efficient estimates. In the latter case, a generalised instrumental variable (GIV) type estimator is needed. Because the substitution method involves more complicated restrictions and because it resolves the solution indeterminacy in a more arbitary fashion, when there are forward‐looking expectations, the errors‐in‐variables solution with the GIV estimator is the recommended combination.

This article reviews the literature on the econometric relationship between DSGE and VAR models from the point of view of estimation and model validation. The mapping between DSGE and VAR models is broken down into three stages: (1) from DSGE to state-space model; (2) from state-space model to VAR(∞); (3) from VAR(∞) to finite-order VAR. The focus is on discussing what can go wrong at each step of this mapping and on critically highlighting the hidden assumptions. I also point out some open research questions and interesting new research directions in the literature on the econometrics of DSGE models. These include, in no particular order: understanding the effects of log-linearization on estimation and identification; dealing with multiplicity of equilibria; estimating nonlinear DSGE models; incorporating into DSGE models information from atheoretical models and from survey data; adopting flexible modeling approaches that combine the theoretical rigor of DSGE models and the econometric model’s ability to fit the data.