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The purpose of this research was to investigate how Mid South Building Supply, a 100% employee-owned company, survived the Great Recession. Research has found that employee-owned companies are more likely to survive recessions than other companies. Why this happens was unclear. Thus, this research was conducted to learn why this might happen.

The case study approach was chosen to uncover the causes because this approach has played a significant role in uncovering organizational phenomena. Moreover, the industry was chosen because of the vulnerability of firms in it to recessionary forces.

Mid South uses practices that enhance both financial and psychological ownership. Prior research has suggested that both are important.

Case study research is limited because only a single frim is investigated. Thus, additional studies need to be performed to confirm the results.

Although this is a single case study, the practical implication is that enterprises that want to improve their probability of surviving should apply the findings of this study.

Firms that provide employment stability to employees are more likely to survive. In turn, research would suggest that this is associated with greater family and community stability.

Whereas prior studies have used across-industry data to find that employee-owned firms are more likely to survive recessions than others, what such firms do differently was unclear. A literature review failed to reveal a prior study that looked at the internal practices that may cause this to happen.

With the diversification of modelling activities encouraged by versatile modelling tools, handling their datasets has become a formidable problem. A further impetus stems from the emergence of the real‐time forecasting culture, transforming data embedded in computer programs of one‐off modelling activities of the 1970s‐1980s into dataset assets, an important feature of modelling since the 1990s, where modelling has emerged as a practice with a pivotal role to data transactions. The scope for data is now vast but in legacy data management practices datasets are fragmented, not transparent outside their native software systems, and normally “monolithic”. Emerging initiatives on published interfaces will make datasets transparent outside their native systems but will not solve the fragmentation and monolithic problems. These problems signify a lack of science base in data management and as such it is necessary to unravel inherent generic structures in data. This paper outlines root causes for these problems and presents a tentative solution referred to as “systemic data management”, which is capable of solving the above problems through the assemblage of packaged data. Categorisation is presented as a packaging methodology and the various sources contributing to the generic structure of data are outlined, e.g. modelling techniques, modelling problems, application areas and application problems. The opportunities offered by systemic data management include: promoting transparency among datasets of different software systems; exploiting inherent synergies within data; and treating data as assets with a long‐term view on reuse of these assets in an integrated capability.

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing Intelligent Team Tutoring Systems (ITTSs), and explore how the five lenses can offer guidance for these challenges. The four challenges arise in the design of team member interactions, performance metrics and skill development, feedback, and tutor authoring. The five lenses or research domains that we apply to these four challenges are Tutor Engineering, Learning Sciences, Science of Teams, Data Analyst, and Human–Computer Interaction. This matrix of applications from each perspective offers a framework to guide designers in creating ITTSs.

This case illustrates the rationale for adopting employee ownership, and difficulties in implementing employee empowerment beyond investment. In the beginning it focuses on why Jerry Pritchett, one of the co-founders of Pritchett Controls, decided to convert it to an employee-owned company. In the body of the case, it details the efforts of the company to operate under its new ownership structure in an increasingly competitive environment. Although Pritchett established employee owners, only selected High Performance Work Systems (HPWS) practices have been implemented. The issue that reader must grapple with is whether other HPWS practices should be adopted or not.

Primary data were collected by interviewing eight managers including the current and former CEO at two of the firm’s three locations. Secondary data were used to supplement industry and competitive information.

Human resources courses, especially those that focus on strategic human resource management, organizational development, and how high performance organizations can be built, would be most appropriate for this case.

The primary theoretical foundations for this submission are shared entrepreneurship and HPWS. Knowledge of leadership, employee ownership, human resources, corporate governance, organizational culture and strategy would also be helpful in analyzing this case.

The purpose of this paper is to carry out a comprehensive review for state-of-the-art works in disruption risk management of express logistics mainly supported by air-transportation. The authors aim to suggest some new research directions and insights for express logistics practitioners to develop more robust planning in air-transportation.

The authors mainly confined the research to papers published over the last two decades. The search process was conducted in two dimensions: horizontal and vertical. In the horizontal dimension, attention was paid to the evolution of disruption management across the timeline. In the vertical dimension, different foci and strategies of disruption management are employed to distinguish each article. Three keywords were used in the full text query: “Disruption management”, “Air transportation”, and “Airline Operations” in all database searches listed above. Duplications due to database overlap, articles other than those from academic journals, and papers in languages other than English were discarded.

A total of 98 articles were studied. The authors categorized the papers into two broad categories: Reactive Recovery, and Proactive Planning. In addition, based on the problem characteristics and their application scenarios, a total of 11 sub-categories in reactive recovery and nine sub-categories in proactive planning were further identified. From the analysis, the authors identified some new categories in the air-transportation recovery. In addition, by analyzing the papers in robust planning, according to the problem characteristics and the state-of-the-art research in recovery problems, the authors proposed four new research directions to enhance the reliability and robustness of air-transportation express logistics.

This study provided a comprehensive and feasible taxonomy of disruption risk management. The classification scheme was based on the problem characteristics and the application scenarios, rather than the algorithms. One advantage of this scheme is that it enables an in-depth classification of the problem, that is, sub-categories of each class can be revealed, which provides a much wider and clearer horizon to the scientific progress in this area. This helps researchers to reveal the problem’s nature and to identify the future directions more systematically. The suggestions for future research directions also point out some critical research gaps and opportunities.

This study summarized various reasons which account for the disruption in air-transportation. In addition, the authors suggested various considerations for express logistics practitioners to enhance logistics network reliability and efficiency.

There are various classification schemes in the literature to categorize disruption management. Using different algorithms (e.g. exact algorithm, heuristics, meta-heuristics) and distinct characteristics of the problem elements (e.g. aircraft, crew, passengers, etc.) are the most common schemes in previous efforts to produce a disruption management classification scheme. However, the authors herein attempted to focus on the problem nature and the application perspective of disruption management. The classification scheme is hence novel and significant.

This paper aims to examine the role of brand attachment as a relevant construct in customers’ evaluation after they face a service failure which impacts future consumer behaviors. It mainly answers the research question: does brand attachment cushion or amplify the effect of service failure on customers’ negative emotions?

A 2 × 2 × 2 experimental design was conducted. Data analysis was performed with ANOVA and moderated mediation.

Customer’s feelings toward a brand (brand attachment) that existed before a service failure occurred can regulate customer’s negative emotions especially when consumer attribute service failure to a controllable cause. This process minimizes the effect of service failure in customer’s satisfaction and consequently increase customer behaviors like word of mouth and loyalty intentions.

Adding perceived intentionality as a service failure’s attribution could provide another layer of explanation of customer behavior. Also, an expanded study using a sector characterized by higher cost of change and permanent consumption could provide result’s generalizability.

Brand attachment should be included in the customer service strategy. In a service failure situation, brand attachment becomes part of the “service customer policy” helping customers to regulate their negative emotions.

This study fills the knowledge gap regarding the role of customers’ positive emotions toward brands when a service failure occurs. The current study extends branding literature by differentiating brand attachment role from coping tactics.

The combined effects of several complex phenomena cause the deterioration of elements in steel hydraulic structures (SHSs) within the US lock system: corrosion, cracking and fatigue, impact and overloads. Predicting the future condition state of these structures by the use of current condition state inspection data can be achieved through the probabilistic chain deterioration model. The purpose of this study is to derive the transition probability matrix using final elements modeling of a miter gate.

If predicted accurately, this information would yield benefits in determining the need for rehabilitation or replacement of SHS. However, because of the complexity and difficulties on obtaining sufficient inspection data, there is a lack of available condition states needed to formulate proper transition probability matrices for each deterioration case.

This study focuses on using a three-dimensional explicit finite element analysis (FEM) of a miter gate that has been fully validated with experimental data to derive the transition probability matrix when the loss of flexural capacity in a corroded member is simulated.

New methodology using computational mechanics to derive the transition probability matrices of navigation steel structures has been presented.

The difficulty of deriving the transition probability matrix to perform a Markovian analysis increases when limited amount of inspection data is available. The used state of practice FEM to derive the transition probability matrix is not just necessary but also essential when the need for proper maintenance is required but limited amount of the condition of the structural system is unknown.

There is much to justify the old “ saw ” that what is one man's food may be another man's poison. Even among healthy individuals this holds true; and it is explained by a peculiarity of constitution attaching to some individuals that may be termed, in non‐technical language, idiosyncrasy.

With the predicted rise in air traffic, a growing need exists to make the aviation industry more environmentally sustainable in the long-term future. Research has shown that the turbo-electric distributed propulsion system (TeDP) could be the next disruptive technology that has the potential to meet the ambitious environmental goals set for the N + 3 time frame. This however will require the use of superconductivity, application of high-temperature superconducting materials and cryogenic liquids. This paper provides a brief overview of the technology and further discusses the benefits, advantages and new opportunities that may arise from the application of the technology.

This paper provides a brief overview of the technology and further discusses the benefits, advantages and new opportunities that may arise from the application of the technology.

Implementation of superconducting technology is currently one of the greater challenges faced and hence this article also reviews some of the key considerations to enable utilisation of cryogenic fuels in the future.

This paper provides a viewpoint and reviews some of the work undertaken in the field. It also provides a perspective on some new possibilities and advantages from using TeDP with cryogenic fuels.