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The aim of this paper is to demonstrate how a grounded theory method applied to a case study within a particular industrial context can be used to derive a substantive model of the practice of capital budgeting and contribute to an understanding of contextual elements that affect investment decisions. This study aims to examine how the investment decision to acquire aircraft, strategic core assets, is made by small players within an industry that is small by world standards, Australian regional aviation.

This research adopts a grounded theory approach to the case study. Primary data were collected using questionnaires, semi‐structured and open‐ended interviews. Secondary data comprised pro‐forma aircraft lease contracts and information from a law firm. Consistent with grounded theory, qualitative research mining software (Leximancer) was used to facilitate initial analyses of data and understanding of decision factors and their relationships. The model was derived, refined and confirmed using data from follow‐up unstructured interviews.

This research within a specific industrial context finds that a substantive model derived through a grounded theory approach provides an understanding of the richness of the investment scenario and the decision factors considered in the capital budgeting decision. Reflection on such narrow industrial findings in terms of existing theories provides insight into the reasons for the gap between practice and theory.

This research is original in that it employs a grounded theory approach, which has received little attention within prior literature, to derive a substantive model based on industrial practice of managers who are instrumental in and responsible for a capital budgeting decision. Such an alternative approach to modelling is of value in bridging the gap between practice and theory. Substantive models produced for different industries or contexts can be compared and similarities refined into a theory that is grounded in practice. Dissimilarities may provide valuable insights into variables and processes that are unique to particular contexts.

This paper describes and discusses company spin-ins and spin-outs as a means to understand company growth in a dynamic context. The following question is asked: How can growth be understood in spin-ins and spin-outs of innovative firms? The paper suggests return on capabilities as a measure to understand growth in an open innovation context.

The empirical part of the paper consists of a single case study. Data was captured through interviews and secondary data sources.

The paper points to that resources alone do not explain strategic decisions by a company and how spin-ins and spin-outs result from the need for capabilities, changes in business foci and temporary solutions to deal with overcapacities or lack of alternatives.

The paper contributes to research by discussing contemporary issues in strategy and innovation and relating them to the resource-based view and the growth of the firm. Spin-outs, and acquisitions and divestitures as interlinked events have rarely been focused on in the literature, while they remain frequent phenomena in practice.

The police response to the protests in Ferguson, Missouri refocused attention on law enforcement agencies’ participation in the military surplus equipment program, or 1,033 Program. Given the extensive media coverage, particularly regarding the acquisition of military vehicles and weapons, it is important to empirically investigate the 1,033 Program. The paper aims to discuss these issues.

Survey data were collected from 1,205 law enforcement regarding 1,033 Program participation and the types of equipment acquired. This study also explores whether significant differences exist by region, agency type, and size.

The results demonstrated that while a majority of state and local law enforcement agencies participated in the 1,033 Program, a significant number of agencies did not. Acquisition of military surplus weapons, vehicles, and other types of equipment was not the norm. Significant differences were discerned for overall participation and equipment acquisition based on region, agency type, and size.

This study does not address other concerns such as how surplus military equipment is used or policies agencies may have to govern that use, which provide avenues for further research to discern best practices.

Law enforcement agencies do not appear to acquire military vehicles and weapons to the extent that has been dramatized by the media.

This study contributes empirical data to inform the discussion of law enforcement agencies’ acquisition of military surplus equipment in the USA.

AT the time of writing the printing strike continues, and we have no means of knowing when this issue will appear. Nor has the July issue been completed. This state of affairs has equally affected all our contemporaries, and there is virtually nothing we can do about it.

A £250 million fleet modernisation programme was announced recently by Britain's second largest airline Britannia Airways.

The purpose of this paper is to present the research efforts of the Center of Aeronautical Studies of the Federal University of Minas Gerais – Brazil to develop a low‐cost flight test data acquisition system for light aircraft and unmanned aerial vehicles (UAEs).

The development of this system was based on a microcontroller, chosen in accordance with main requirements of light aircrafts flight tests. The system uses the microcontroller in order to communicate with different kinds of sensors, including a GPS, and organize this information to be sent to a PDA device, which is used to control the acquisition process and storage the data acquired. Details about the development of this system, including firmware algorithm and sensors development, are presented and discussed in the paper.

The paper presents example results obtained with this system in applications such as performance evaluation and stability and control derivatives estimation problems. Take into account all the aspects of the system and the quality of the results, the main conclusion is that this system can efficiently support the demands of the aerospace industry for light aircraft and UAEs development programs as well as the necessities of the research centers and universities developing aeronautical research and didactic programs.

Recently, results confirm the applicability of this system in order to perform flight tests of aircrafts in accordance with FAR‐Part 23 or CS‐VLA or Light Sport Aircrafts as required by FAA Order 8130.2F and ASTM Designation F2245‐04.

This paper presents details about the construction of a low‐cost data acquisition system for flight tests of light aircrafts. The main advantage of this system is the use of a PDA device in order to control and storage the acquisition, which reduce costs, weight and size of the system and permits its installation in light aircrafts or UAVs.

Traditional dynamic and flutter analysis demands a detailed finite element model of the aircraft in terms of its mass and stiffness distribution. However, in absence of these details, modal parameters obtained from experimental tests can be used to predict the flutter characteristics of an aircraft. The purpose of this paper is to develop an improved and reliable method to predict the flutter characteristics of an aircraft structure of unknown configuration under an anticipated aerodynamic loading using software such as MSC Nastran and experimental modal parameters (such as mode shapes, natural frequencies and damping) from ground vibration tests.

A finite element model with nodes representing the test points on the aircraft is created with appropriate boundary constraints. A direct matrix abstraction program has been written for NASTRAN software that carries out a normal modes analysis and replaces the mass normalized eigenvalues and vectors with the experimentally obtained modal parameters. The flutter analysis proceeds with the solution of the flutter equation in the flutter module of NASTRAN.

The method has been evaluated for a light composite aircraft and its results have been compared with flight flutter tests and the flutter speeds obtained from the finite element model with actual stiffness and mass distributions of the aircraft.

The methodology developed helps in the realistic prediction of flutter characteristics of a structure with known geometric configuration and does not need material properties, mass or stiffness distributions. However, experimental modal parameters of each configuration of the aircraft are required for flutter speed estimation.

The proposed methodology requires experimental modal parameters of each configuration of the aircraft for flutter speed estimation.

The paper shows that an effective method to predict flutter characteristics using modal parameters from ground vibration tests has been developed.

The University of Essex are offering a new series of short “Laser Workshop” courses during the Spring of 1980, which are designed to make a number of important laser applications more widely known in industry and experts from many organisations have agreed to participate.

This article surveys the literature dealing with theory and applications of life cycle costing (LCC). It deals with the literature published in the last 25 years and provides 667 references.

The purpose of this paper is to analyze parameters that influence direct maintenance cost (DMC) in the civil aircraft operational phase. Reducing direct maintenance cost of civil aircrafts is one of the important ways to improve economy. DMC prediction can provide decision support for the optimization of the design parameters optimization to realize the objection in decreasing the maintenance cost, and it can also improve the aircraft competitiveness.

The paper analyzes some parameters comprehensively, which influence DMC in the civil aircraft’s operational phase. Based on the analysis of the influential parameters and the characteristics of data in the period of civil aircraft’s designing period, the paper presents prediction support method based on fuzzy support vector machine (FSVM) and realizes quantitative forecast of DMC in the aircraft design phase.

The paper presents the process of DMC analysis and model in the aircraft design phase, the DMC prediction model is used in newly developed aircrafts.

The numerical examples using B737NP fleet data in the paper have proved the effectiveness of the proposed method.

The paper establishes the prediction model of civil aircraft DMC based on FSVM. The model can handle fuzzy data and small sample data which contain noise. The results prove that the method can satisfy the demand of the real data in civil aircraft designing.