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The objective of the paper is to develop an analytical tool that is capable of modelling decision-making in coopetitive business relationships. Managers in the same industry differ in respect of their willingness to adopt coopetition. To better understand coopetitive decision-making, we need a model whereby such decisions can be experimented with and analysed. An important prerequisite of such a model would be its capacity to measure the performance consequences of coopetitive interactions at both firm and relationship levels. We show that existing operationalisation has limited capacity to do that. Based on existing game theoretical constructs, we propose a new operationalisation of a coopetitive decision-making episode in horizontal business relationships using a two-step sequential game. We suggest developing what we term a "coopetitive composite solution matrix" by summing up the payoff functions of the two steps of the game. The suggested operationalisation has the capacity to measure all the potential performance consequences of a complex piece of coopetitive decision-making in an episode. In this way, the decision problem's cognitive representation becomes straightforward and analysis of the impact of the behavioural attributes of managers on the actual decision-making process is unambiguous.

In the first essay, Distortions in the Neoclassical Growth Model: A Cross Country Analysis, I show that shocks that express themselves as total factor productivity and labor income taxes are comparably more synchronized than shocks that resemble distortions to the ability of allocating resources across time and states of the world. These two shocks are also the most important to model. Lastly, I document the importance of international channels of transmission for the shocks, given that these are spatially correlated and that international trade variables, such as trade openness correlate particularly well with them. The second essay is called Monetary Business Cycle Accounting for Sweden. Given that the analysis is focused in one country, I can extend the prototype economy to include a nominal interest rate setting rule and government bonds. As in the previous essay, distortions to the labor-leisure condition and total factor productivity are the most relevant margins to be modeled, now joined by deviations from the nominal interest rate setting rule. Also, distortions do not share a structural break during the Great Recession, but they do during the 1990's. Researchers aiming to model Swedish business cycles must take into account the structural changes the Swedish economy went through in the 1990's, though not so during the last recession. The third essay, Consumer Confidence and Consumption Spending: Evidence for the United States and the Euro Area, we show that, the consumer confidence index can be in certain circumstances a good predictor of consumption. In particular, out-of-sample evidence shows that the contribution of confidence in explaining consumption expenditures increases when household survey indicators feature large changes, so that confidence indicators can have some increasing predictive power during such episodes. Moreover, there is some evidence of a confidence channel in the international transmission of shocks, as U.S. confidence indices help predicting consumer sentiment in the euro area.

ABSTRACTIn the "flipped" class, students use online materials to learn what is traditionally learned by attending lectures, and class time is used for interactive group learning. A required quantitative business class was taught as a flipped classroom in an attempt to improve student satisfaction in the course and reduce the "transactional distance" (perceived barriers to engaging with the instructor, other students, technology, and course content) and increase satisfaction.Analysis indicated improvements to both transactional distance and student satisfaction in the flipped classroom. Multiple regression analysis quantified the extent of which each transactional distance was a predictor of student satisfaction. The improved satisfaction in the flipped classroom was predicted by the improvement in transactional distances between students, students and the instructor, and students and the instructional technology used in the class.The conclusions from this study suggest that the flipped classroom is a particularly good pedagogical strategy for quantitative classes. It allows the instructor to increase student satisfaction (a win for the students) in a course in which it is usually low without compromising academic standards (a win for the teachers). Finally, increased satisfaction leads to increased retention and hence increased revenues for the institution, which is a win for the administration.

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. Abdulkader Aljandali, Ph.D., is a Senior Lecturer in Quantitative Finance and Business Forecasting at Regent's University London. He acts as a visiting professor at overseas institutions in Canada, France, and Morocco.

Ausgehend von allgemeinen Überlegungen zur Notwendigkeit einer kleinräumlichen Betrachtungsweise in der Wirtschafts- und Sozialgeschichte stellt der Artikel eine Untersuchung zur Konjunkturdifferenzierung auf der Ebene eines Bundesstaates (Baden) vor. Für die Jahre 1900 bis 1918 (bei Konzentration auf die Kriegszeit) werden Haltungen und Maßnahmen der badischen Regierungsbehörden zu Wirtschaftsprozeß und Wirtschaftsstruktur analysiert. Im einzelnen wird das Problem der Indikatoren diskutiert, mit deren Hilfe regionale Unterschiede in der ökonomischen Entwicklung zu erfassen sind. Regionale Untersuchungseinheiten sind die Handelskammer-Bezirke Badens. Durch die gezielte Verknüpfung quantitativer und qualitativer Indikatoren wird versucht, regionale Konjunkturdifferenzierungen abzubilden. Aufgrund der regionalen Konzentration der industriellen Branchen spiegeln die branchendifferenzierten Konjunkturen auch räumliche Differenzierungen wider. Im einzelnen wird vor allem die Kriegswirtschaft (die Kriegsjahre werden in vier Phasen unterteilt) untersucht; die Kriegserfordernisse waren mit wirtschaftlichen Impulsen und Schwächungen verbunden, die über die verschiedenen Branchen unterschiedlich verteilt waren (entsprechend unterschiedlich waren auch die regionalen Konsequenzen). Der dem Beitrag beigefügte Kommentar (Toni Pierenkemper) weist kritisch auf ungelöste Untersuchungsprobleme und verschiedene offene Fragen hin (Replik des Verfassers). (JL)

Guide your students through the fundamentals of Statistics and help them build up their skills for excellence. Statistics for Economics, Accounting, and Business Studies is an accessible introduction to the subject, featuring a plethora of features and recent examples that will offer your students the resources they need to excel in their course

"Quantitative Corporate Finance presents a comprehensive treatment of the legal arrangement of the corporation, the instruments and institutions through which capital can be raised, the management of the flow of funds through the individual firm, and the methods of dividing the risks and returns among the various contributors of funds. Guerard and Schwartz cover a wide variety of tools and techniques used to evaluate and manage financial performance, with particular emphasis on the application of regression analysis, time series modeling, the Capital Asset Pricing Model (CAPM), and multi-factor risk models."--Jacket

Purpose
The purpose of this paper is to measure the flexibility of business process models. The authors give the notions of flexible process distance, which corresponds to the number of change operations needed for transforming one process model into another, considering the different perspectives (functional, operational, behavioral, informational, and organizational).


Design/methodology/approach
The proposed approach is a quantitative-based approach to measure the flexibility of business process models. In this context, the authors presented a method to compute the distance between two process models. The authors measured the distance between a process model and a process variant in terms of the number of high-level change operations (e.g. to insert or delete actors) needed to transform the process model into the respective variant when a change occurred, considering the different perspectives and the flexible features.


Findings
To evaluate the flexibility-measurement approach, the authors performed a comprehensive simulation using an emergency care (EC) business process model and its variants. The authors used a real-world EC process and illustrated the possible changes faced in the emergency department (possible variants). Simulation results were promising because they fit the flexibility needs of the EC process users. This was validated using the authors' previous work which consists in a guidance approach for business process flexibility.


Research limitations/implications
The authors defined six different distances between business process models, which are summarized in the definition of total process distance. However, changes in one perspective may lead to changes in other perspectives. For instance, adding a new activity may lead to adding a new actor.


Practical implications
The results of this study would help companies to obtain important information about their processes and to compare the desired level of flexibility with their actual process flexibility.


Originality/value
This study is probably the first flexibility-measurement approach which incorporates features for capturing changes affecting the functional, operational, informational, organizational, and behavioral perspectives as well as elements related to approaches enhancing flexibility.

ABSTRACTThis article aims to investigate the academic performance (measured by quality points) of the business students in quantitative courses. It also explores the impact of a number of factors on the academic performance of business students in these courses. A random sample of 750 third‐ and fourth‐level business students at the United Arab Emirates University (UAEU) Faculty of Business and Economics (FBE) was chosen. The collected data were analyzed using descriptive statistics, analysis of variance, t test, and correlation. The results indicated that the academic performance of the business students in quantitative courses differs across the fields of study (Accounting, Finance, Management, Marketing, Management Information Systems, Economics, and Statistics), the nationality (Emirati or non‐Emirati), the type of high school (private or public), the major track in high school (science or art), the gender (except for Business Stat 1 and Production and Operations Management courses), and the age (except for Quantitative Methods for Business and Operations Research courses). The study has a number of implications for both administrators and instructors. For administrators, it will make them aware of the impacts of the factors under investigation on business students' performance in quantitative courses. Therefore, this will improve the administrators' ability to design more effective plans to enhance students' learning experience and in turn their performance in those courses and accordingly their overall performance. For instructors, this study will indicate which students might perform poorly in quantitative courses and in turn lead to taking the necessary actions to enhance their performance in these courses. Instructors should organize separate classes for management and marketing students on one hand, and students of other fields of study on the other. Different teaching strategies, course contents, assessment approaches could be used for different groups. Similarly, students could be classified according to grade point average and major track in the high school. Once again, different teaching strategies, course contents, assessment approaches could be used for different groups.