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In this paper we are concerned with two related topics—management literature and The London Classification of Business Studies. To understand the purposes and structure of the Classification it is essential first to consider the scope and content of management literature. But management literature would not exist, certainly in its present form, without the business schools, and so it is appropriate to begin by attempting a very brief answer to the question—what is management education? This fine new building in which we are meeting, with its lecture theatres, seminar rooms, computing facilities, its important library, its excellent residential accommodation, helps to provide a visual answer. But it is necessary to consider a broader perspective.

The objective of this study is to analyze price dispersion in the context of internet based shopping malls and assess which of the main informational elements available online about sellers affect online price dispersion.

The author collected data for 100 models of watches from seven major brands and 100 models of cameras from nine major brands available for sale on Amazon. Statistical regression of price dispersion against average price, number of stores, shipping charge variation, average number of customer reviews, variation in the percentage of positive reviews and a dummy variable of product type were performed.

It is shown that price dispersion is present even in an online shopping mall. The conclusion significantly adds to the online pricing research, by showing that price dispersion is influenced by the average product price and product type and shipping charges. The number of stores does not affect price dispersion because there is no obstacle impeding the customer from finding the prices for all stores. A key finding is that the number of customer reviews significantly influences online price dispersion.

The study only analyzes price dispersion for two products using secondary data. Future studies can analyze different types of goods and focus on which elements affect the buyers' store selection by using primary data.

Managers can see that there are numerous other elements of information besides price that influence buying decisions. Practitioners need to note the importance of customer reviews in online settings, including the significance of the number of reviews as signal of experience and reliability.

The paper shows that online price dispersion exists even in the context of practically inexistent search costs. Even though the buyers have instant access to all prices of a product, they use a combination of elements in order to decide the seller selection. A key contribution of the study shows that the amount of information available about the seller and the customer reviews significantly influence online price dispersion.

The purpose of this research is to take into consideration the country effect in online and offline environments and compares price levels and dispersion online v. offline across the two largest Continental European markets, thus adding a new dimension in price comparisons and multichannel pricing strategies.

Based on an empirical analysis of data collected in one product category (CDs), our findings for France and Germany show that price levels ‐including shipping costs – are always higher online than offline in each country and price dispersion is persistent across markets. Calculating mean prices for the two countries, ANOVA tests reveal significant differences among the two sets of data. Using standard deviation as the measurement for price dispersion, Levene statistics reveal a higher degree of online price dispersion than offline and statistically significant differences between the two sample countries.

Even if our approach need to be extended to more product categories and more countries, our article may be interesting for practitioners, policy makers and managers. It clearly shows that the “frictionless capitalism and cost transparency hypothesis” has proven to be wrong most of the time even if many retailers still believe they must sacrifice the possibility of pricing up when they go on the internet. As demonstrated by our findings, retailers can take advantage of online relative indifference to price to capture some margin premium and enjoy excellent results.

Our results also demonstrate that, even if results show some similarities and common trends, differences among France and Germany still remain important. As a consequence, marketers should continue to approach the European marketplace with full awareness of its diversity.

The purpose of this study is to provide a method for Lean Six Sigma (LSS) improvement projects that may aid LSS practitioners to plan and conduct robust and lean product/process optimization studies for complex and constrained products, such as those encountered in food industry operations.

The technique is to be used for replicated LSS product experimentation on multiple effects elicited on several product traits. The authors compress replicated information reducing each response to simpler lean and robust median and range response components. Then, the desirability method is utilized to optimize concurrently location and dispersion contributions.

The suggested method is demonstrated with a case study drawn from the area of food development where cocoa-cream filling for a large-scale croissant production operation undergoes a robust screening on two crucial characteristics – viscosity and water activity – that influence product and process performance as well as product safety.

The proposed method amalgamates concepts of fractional factorial designs for expedient experimentation along with robust multi-factorial inference methods easily integrated to the desirability function for determining significant process and product effects in a synchronous multi-characteristic improvement effort. The authors show that the technique is not hampered by ordinary limitations expected with mainstream solvers, such as MANOVA. The case study is unique because it brings in jointly lean, quality and safety aspects of an edible product. The showcased responses are unique because they influence both process and product behavior. Lean response optimization is demonstrated through the paradigm.

In addition to the prediction of effective elastic properties of random media, the statistical variations of these properties for finite size specimens are of practical interest. From finite element method calculations on simulated 2D random media, size effects are studied and modelled. They enable us to draw practical conclusions for finite element applications to elastic random media.

The concept of the proposed R chart is based on the sum of chi squares (χ²). The average run lengths (ARLs) of the proposed R chart are computed and compared with the ARLs of a standard R chart, Shewhart variance chart proposed by Chang and Gan, a CUSUM range chart (with and without FIR feature) proposed by Chang and Gan and also with an EWMA range chart proposed by Crowder and Hamilton for various chart parameters. This paper aims to show that only FIR CUSUM schemes perform better than the proposed R chart but other CUSUM and EWMA schemes are less efficient than the proposed R chart.

The concept of the proposed R chart is based on the sum of chi squares (χ²). The proposed R chart divides the plot area into three regions, namely: outright rejection region; outright acceptance region; and transition region. The NULL hypothesis is rejected if a point falls beyond the control limit, and accepted if it falls below the warning limit. However, when a point falls beyond the warning limit, but not beyond the control limit, the decision is taken on the basis of individual observations of the previous H samples, which are considered to evaluate statistic U, that is the sum of chi squares. The NULL hypothesis is rejected if U exceeds a predefined value (U*) and accepted otherwise.

The comparisons also show that the CUSUM, EWMA and proposed R charts outperform the Shewhart R chart by a substantial amount. It is concluded that only FIR CUSUM schemes perform better than the proposed R chart, as it is second in ranking. The other CUSUM and EWMA schemes are less efficient than the proposed R chart.

CUSUM and EWMA charts can catch a small shift in the process average but they are not efficient to catch a large shift. Many researchers have also pointed out that these charts' applicability is limited to the chemical industries. Another limitation of CUSUM and EWMA charts is that they can catch the shift only when there is a single and sustained shift in the process average. If the shift is not sustained, then they will not be effective.

Many difficulties related to the operation and design of CUSUM and EWMA control charts are greatly reduced by providing a simple and accurate proposed scheme. The performance characteristics (ARLs) of the proposed charts described in this paper are very much comparable with FIR CUSUM, CUSUM, EWMA and other charts. It can be concluded that, instead of considering many chart parameters used in CUSUM and EWMA charts, it is better to consider a simple and more effective scheme, because a control chart loses its simplicity with multiple parameters. Moreover, practitioners may also experience difficulty in using these charts in production processes.

It is a modification of the Shewhart Range Chart but it is more effective than the Shewhart Range chart, as shown in the research paper.

This paper is to present an experiment to verify that the motion errors of robust topology optimization results of compliant mechanisms are insensitive to load dispersion.

First, the test pieces of deterministic optimization and robust optimization results are manufactured by the combination of three-dimensional (3D) printing and casting techniques. To measure the displacement of the test piece of compliant mechanism, a displacement measurement method based on the image recognition technique is proposed in this paper.

According to the experimental data analysis, the robust topology optimization results of compliant mechanisms are less sensitive to uncertainties, comparing with the deterministic optimization results.

An experiment is presented to verify the effectiveness of robust topology optimization for compliant mechanisms. The test pieces of deterministic optimization and robust optimization results are manufactured by the combination of 3D printing and casting techniques. By comparing the experimental data, it is found that the motion errors of robust topology optimization results of compliant mechanisms are insensitive to load dispersion.

This chapter presents a new model for developing and assessing the decision competencies of executive decision-makers. Prior models consider individual and group decision-making but neglect to consider the impact of group-interactive decision-making on real-world problem-solving and sense-making activities. In the present study experimental protocols represent an approximation of a realistic business decision-making process, where decision-makers consult with groups of stakeholders and then make decisions on their own. The model juxtaposes decision competence with the level of decision confidence with which decisions are made. The study furnishes an objective test for this phenomenon, resulting in quantitative empirical evidence of either follow-the-herd (FTH) behavior, or group-forged individual decisions (GFID), or follow-my-own-mind (FMOM) individual decision behavior. The study investigates the impact of group-interactive decision processes on hubristic behavior – decision-makers who make poor/wrong decisions, but remain confident in their choices, judgments, and decisions. The resulting management decision competency model provides an inter-disciplinary matrix, of benefit to human resource development specialists, and provides scholars in organizational behavior and leadership development with guidance for current and future research into group dynamics and decision competencies.

The purpose of this paper is to discover Spanish history students' subjective perception of their information literacy (IL) status in order to find and suggest some academic and individual improvement actions.

The implementation of the IL‐HUMASS survey provides diagnostic data on two IL quantitative dimensions (belief in importance and skills self‐assessment) and a third qualitative dimension (learning habits) deployed along 26 variables, which are grouped into four categories (search, evaluation, processing, and communication‐dissemination of information).

The analysis confirms that variables related to information processing (above all schematising and abstracting information) show high scores of belief in importance and skills self‐assessment among students. By contrast, variables related to technological advances (above all the use of bibliographic reference managers) show the worst results. In sum, there is a lack of subjective digital literacy in a set of skills related to the technologies of search, processing and communication of information. Among the less valued skills, independent learning reaches an excessive priority. However, this is really just an isolated learning.

The help of classrooms and libraries as learning tools would improve these results. Policy makers and instructors need to improve their role in the learning process by means of more extensive planning processes and the promotion of specific courses, above all on skills related to the technologies of information search, processing and communication. The concept of independent learning needs to be clarified and enhanced.

This is a pioneering study that approaches IL from a triple perspective.

This paper addresses the following questions: Why do some firms employ multiple debt types? What explains debt heterogeneity? Is the choice of the source of debt a function of corporate governance?

The author's paper is empirical and uses multiple regression analysis.

Firms under weak corporate governance have a higher propensity to use multiple debt types and have a dispersed debt structure. Contrastingly, firms that are well-managed tend to concentrate debt and borrow predominantly from a few creditors. The author also found that while bank debt is negatively associated with debt concentration, market debt is positively associated with debt concentration.

Firms under weak corporate governance have a higher propensity to use multiple debt types and have a dispersed debt structure. Well-managed firms tend to concentrate debt and borrow predominantly from a few creditors. Bank debt is negatively associated with debt concentration and market debt is positively associated with debt concentration.

Policymakers and practitioners need to account not only for changes in the firm’s total debt level but also for changes within the firm’s debt composition. Understanding a manager’s choice of debt structure can incentivize creditors to effectively monitor and use debt concentration as a form of commitment device that transfers some control rights from the manager to creditors.

While a vast body of corporate finance literature examines the conflict between shareholders and management, there is little empirical work on the conflict between creditors and management. In this paper, the author examines how managerial entrenchment affects debt structure. The results provide a comprehensive picture of how corporate governance influences debt choice(s).