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This chapter first examines evidence concerning departures of the four flights out of Boston, D.C., and Newark, including identifications of the aircrafts involved, some evidence regarding the flight paths, and then the hijackings. Alleged video evidence at airports for the hijackers themselves is examined, but found to be unacceptable.

The fact of a conspiracy is uncontested by all. Three alternative conspiracy possibilities regarding the planes are examined: the ‘official’ one of suicide hijackers skillfully guiding planes with steeled determination into targets (independent of the hijackers’ identities); use of beaconing or electronic control, similar to ordinary commercial landings, into the targets; and use of ‘drone’ airplanes. The third alternative is not supportable at this time, but the other two are possible explanations, not necessarily equally likely.

The issue of insider trading before 9-11 is addressed. Publicly available data from OptionMetrics are provided and analyzed, indicating that many early reports were not using accurate data. Turning to an academic study in the Journal of Business which relies upon confidential, superior data, the findings are summarized that, indeed, there is evidence of insider trading before 9-11 on American Airlines and United Airlines. Larger concerns of insider trading are also summarized. Lastly, we give brief consideration to the profits certain capitalists make out of 9-11.

While not all air travel experiences are pleasant, the question of how to cope with and ease people’s fear of flying has long been an interesting topic for research. This study investigates the impact of media on public anxiety and physiological reactions toward air travel. In addition, it aims to examine the dimensionality of the public’s fear of taking an air flight and the media usage characteristics of fearful fliers. A quasiexperiment with a treatment group and a control group is designed to evaluate the study propositions. A total of 260 samples are collected using a structured questionnaire after the participants view three-minute-long, airline-related video clips. Principal component analysis and cluster analysis are used to analyze the data. This study finds that a negative media report could lead to an increase in the public’s anxiety toward air travel. These specific air travel anxieties are grouped with the corresponding symptoms among participants who viewed the accident-related video reports. Implications and further research are discussed.

The study here examines how business actors adapt to changes in networks by analyzing their perceptions or their network pictures. The study is exploratory or iterative in the sense that revisions occur to the research question, method, theory, and context as an integral part of the research process.

Changes within networks receive less research attention, although considerable research exists on explaining business network structures in different research traditions. This study analyzes changes in networks in terms of the industrial network approach. This approach sees networks as connected relationships between actors, where interdependent companies interact based on their sensemaking of their relevant network environment. The study develops a concept of network change as well as an operationalization for comparing perceptions of change, where the study introduces a template model of dottograms to systematically analyze differences in perceptions. The study then applies the model to analyze findings from a case study of Norwegian/Japanese seafood distribution, and the chapter provides a rich description of a complex system facing considerable pressure to change. In-depth personal interviews and cognitive mapping techniques are the main research tools applied, in addition to tracer studies and personal observation.

The dottogram method represents a valuable contribution to case study research as it enables systematic within-case and across-case analyses. A further theoretical contribution of the study is the suggestion that network change is about actors seeking to change their network position to gain access to resources. Thereby, the study also implies a close relationship between the concepts network position and the network change that has not been discussed within the network approach in great detail.

Another major contribution of the study is the analysis of the role that network pictures play in actors' efforts to change their network position. The study develops seven propositions in an attempt to describe the role of network pictures in network change. So far, the relevant literature discusses network pictures mainly as a theoretical concept. Finally, the chapter concludes with important implications for management practice.

Each of the four objectives can be applied within the military training environment. Military training often requires that soldiers achieve specific levels of performance or proficiency in each phase of training. For example, training courses impose entrance and graduation criteria, and awards are given for excellence in military performance. Frequently, training devices, training media, and training evaluators or observers also directly support the need to diagnose performance strengths and weaknesses. Training measures may be used as indices of performance, and to indicate the need for additional or remedial training.

Purpose: To analyse the insurance market breakthroughs through ‘Big Data’ and the possibility of new techniques of services provided, creating access for information gathering and fraud detection. This can contribute to improved risk management processes and mitigation strategies referred to as ‘InsurTech’.

Methodology: We catalogue the technique which is especially useful and being evaluated as having the ability to bring innovations to the insurance business. In doing this, we reveal which marketplaces actively participate in start-ups and how insurers engage in them and present them, highlighting the impact of blockchain technology, ride services, robo-advice, and data analysis on the insurance industry.

Findings: Findings show that because emerging economies have fewer organisation needs to ensure the distribution model, technology and research may significantly influence such areas. Nonetheless, whether industrialised or emergent, relevant legislative inspections should be carried out to protect subscribers’ welfare.

Practical implication: Since ‘Big Data’ impacts insurers’ constant monitoring of business risks and corporate governance, an overview of how information is harnessed should be carefully studied. Moreover, it is essential to study the handling of algorithms to guarantee that the expectations are reasonable and that unforeseen effects are avoided to the greatest extent feasible, and regulators have a mechanism for engaging in this review.