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The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Donna L. Van Raaphorst provides a detailed statistical analysis of a large sample of Alcatraz Prison inmates using the Social Science Statistical Package. The data, drawn directly from the inmate files, is compared whenever possible with similar data provided by the Bureau of Prisons in order to determine if Alcatraz, often regarded as America's Devil's Island, really incarcerated the so-called “Worst of the Worst” in its time. The results would seem to indicate that Alcatraz inmates were, in fact, not remarkably different from those in any other Federal prison in the system.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

Gender remains a politically charged and powerful ideological social identity dimension that categorically essentializes and reproduces opportunities and limitations in organizations. Addressed in Chapter 6 are assumptions about gender and ways that gender classifications and gender roles form and spill forth into both work and home life for an overlap of public and private spheres that disadvantage women and privilege men. Furthermore, femininity and masculinity constructs strengthen the power system that undergirds them, reinforces their meanings, and perpetuates behaviors, changing over time, across and within cultures, and over the life course.

In organizations, the glass ceiling metaphor has become a popular representation of inequality in the workplace for women, people of color and sexual minorities; a phenomenon expanded in recent years to include glass walls and glass cliffs to describe advancement barriers. Gender-neutral mindsets and blame-the-victim strategies found in organizations are examined, as well as the breadwinner role and intersectionalities of gender with social identity dimensions of age, ethnicity, and social class. Chapter 6 is divided into these subthemes: gender, roles, femininity, and masculinity; power and gender inequality at work, and effects on women; gender, parenting, and the second shift; the breadwinner role, hegemonic masculinity, and masculinity in crisis; gendered occupations and feminization of career fields; intersectionalities of gender with age, ethnicity, and social class; and shattering schemas with androgyny and transgenderism.

Research has extensively underlined the positive impact of emotional, social and cognitive competencies on leadership effectiveness. Despite the fact that literature acknowledges that these competencies can be learned from different experiences over a person’s lifetime, research has mainly focused on leadership development in adulthood. Through the case study of the Ca’ Foscari Competency Centre, this chapter advances the understanding on how higher education can favour leadership development at the early stage, in terms of identity formation and self-regulation, through the implementation of the intentional change theory, considering that this learning process varies according to different developmental trajectories.

This chapter describes how conversational computer agents have been used in collaborative problem-solving environments. These agent-based systems are designed to (a) assess the students’ knowledge, skills, actions, and various other psychological states on the basis of the students’ actions and the conversational interactions, (b) generate discourse moves that are sensitive to the psychological states and the problem states, and (c) advance a solution to the problem. We describe how this was accomplished in the Programme for International Student Assessment (PISA) for Collaborative Problem Solving (CPS) in 2015. In the PISA CPS 2015 assessment, a single human test taker (15-year-old student) interacts with one, two, or three agents that stage a series of assessment episodes. This chapter proposes that this PISA framework could be extended to accommodate more open-ended natural language interaction for those languages that have developed technologies for automated computational linguistics and discourse. Two examples support this suggestion, with associated relevant empirical support. First, there is AutoTutor, an agent that collaboratively helps the student answer difficult questions and solve problems. Second, there is CPS in the context of a multi-party simulation called Land Science in which the system tracks progress and knowledge states of small groups of 3–4 students. Human mentors or computer agents prompt them to perform actions and exchange open-ended chat in a collaborative learning and problem-solving environment.

This article describes the creation of specific solidarity relationship frames within an Aboriginal rights support network in Alberta, Canada. Advocacy relationship frames are discussed in the context of literature on social movement action framing processes as well as literature on solidarity relationships within social movements. After a brief explanation of research methods, the Lubicon Cree land rights conflict is introduced as a specific example of non-Aboriginal advocacy of an Aboriginal cause. In the Lubicon situation, supporters understood their solidarity as a commitment to those who were socially marginalized but this commitment was complicated by various factors such as the power imbalance between Lubicon and their advocates as well as the cultural differences between the two sides. The relatively passive framing of the solidarity relationship may also have contributed to a subsequent dissipation of support and a lack of ongoing direct and personal connection with the Lubicon people.