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The use of routines in the decision-making process of individuals, groups and organizations is a well accepted yet taken for granted phenomenon. One goal of organizations is to develop group routines that are efficient, but at the same time flexible. However, this presents a paradox because routines that are efficient at one point in time, or for a particular task, may persist, be unquestioned, and become increasingly inefficient for the group and the organization. This chapter develops a formal theory that describes the processes by which the legitimation of particular group structures impacts the development and use of group routines. The theory presented draws from theories of legitimation, expectation states theory, and institutional theory. The theory formally depicts three sources of legitimation: a referential belief structure (set of cultural beliefs) about expertise and leadership, authorization or superordinate support of a leader, and endorsement (support by group) of a leader. Specifically, the theory addresses: (1) how different sources of legitimation make groups more or less hierarchical; and (2) how the different sources of legitimation make group routines more or less flexible.

Using bibliometrics to examine eight core journals in the year 2000 for the disciplines of higher education and library science, characteristics of the authors were determined, including gender or sex; Carnegie Classification or institutional affiliation; and position of the authors. Characteristics of the articles were also examined, including the research methods used such as descriptive statistics, inferential statistics, or qualitative analysis. A content analysis of each article was performed to determine the subjects discussed in each literature. For both disciplines, it was learned that males publish more, the highest Carnegie Classification, extensive research institutions, were represented the most, and authors came from academic departments other than their own disciplines. In higher education, inferential statistics were used frequently; in library and information descriptive statistics were used frequently; both disciplines failed to use research methodologies regularly. From these findings, it appears that both disciplines are still emerging and are in their early stages of development.

Higher education research has substantially expanded in recent years, to become a subject worthy of study in its own right. Higher education journals are arguably the most important location for the publication of the outputs of such research. This paper examines the articles published in 14 leading higher education journals internationally in the years 2000, 2010 and 2020. It compares the volume of outputs, the themes addressed, the methodologies employed, the theories applied, the levels at which analyses were undertaken, and the characteristics of the first authors involved. It concludes that the field of higher education research is growing and that its reach is increasingly global.

Artificial neural networks (ANNs), which represent computational models simulating the biological neural systems, have become a dominant paradigm for solving complex analytical problems. ANN applications have been employed in various disciplines such as psychology, computer science, mathematics, engineering, medicine, manufacturing, and business studies. Academic research on ANNs is witnessing considerable publication activity, and there exists a need to track the intellectual structure of the existing research for a better comprehension of the domain. The current study uses a bibliometric approach to ANN business literature extracted from the Web of Science database. The study also performs a chronological review using science mapping and examines the evolution trajectory to determine research areas relevant to future research. The authors suggest that researchers focus on ANN deep learning models as the bibliometric results predict an expeditious growth of the research topic in the upcoming years. The findings reveal that business research on ANNs is flourishing and suggest further work on domains, such as back-propagation neural networks, support vector machines, and predictive modeling. By providing a systematic and dynamic understanding of ANN business research, the current study enhances the readers' understanding of existing reviews and complements the domain knowledge.

Comparativists have been struggling with understanding the field of Comparative and International Education (CIE) for over 60 years. Analyses of CIE knowledge production meet at least three limiting factors: questions of what should be constituent themes of the field (or “nodes” to structure analysis); how to code individual manuscripts as belonging to one comparative field and not another (e.g. should a manuscript be coded according to its geographic focus, its methodology, educational focus, or all three?); and then finally, how to deal with knowledge production that is not published through recognized Journals or publication outlets. I use 100 submissions to the Comparative Education Review (CER) in 2015 as a way to deal with the latter constraint, suggesting that such analysis may reflect new trends in the field. Further, to deal with other constraints, I have coded each manuscript according to its methodology, geographic focus, theme, type of manuscript (e.g. single case or comparative), and author characteristics (location of author). In reviewing the submissions, I find that the field as seen from the perspective of the CER submissions is dominated by single case studies (58%), and that quantitative studies (41%) are becoming increasingly more prominent. The studies mostly are focused on higher education (32%) and secondary education (21%). Authors in majority (61%) are based in the area studied. As regards themes, there seem to be no unity or grand narratives in the field. Despite interesting new trends as related to location of authors, CIE appears dominated by fairly traditional and conservative discourses as related to themes and epistemologies.

Chaotic growth and climate change have led to increased uncertainty in social-ecological systems, like urban areas, and have lowered their thresholds to withstand shocks, thus increasing their vulnerability. To reduce this effect, the concept of resilience is increasingly being applied in urban governance and planning. Public participation is seen as an attribute, which potentially increases the resilience of social-ecological systems.

What kind of public participation leads to resilience, and how, are questions which this chapter addresses. To answer these questions, this study focused on relevant literature regarding resilience and governance, and investigated the events related to the flooding of the Ramnadi river corridor in Pune, India. The governance structure within the Ramnadi river corridor was then analyzed using a causal loop diagram. By studying its nodes, linkages, and feedbacks, this chapter explores how public participation affects the resilience of the social-ecological system of the Ramnadi river corridor.

Public memory, a minimum sustained level of perpetual participation, and the presence of proactive institutions which can effectuate various levels and types of participation, have emerged as the qualities of public participation which increase the resilience of social-ecological systems. Based on the presence or absence of these qualities, a new typology of public participation is proposed here, namely the binary of continuous public participation versus event-based public participation. This distinction proves to be an effective indicator of whether an instantiation of public participation can lead to resilience. The applicability of this classification for designing interventions for placemaking has also been discussed.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Consistent and systematic reflective practice is a key element of professionalization. Reflecting on the current status and trends highlights areas of success and areas for further examination within the field of comparative and international education (CIE). This research examines the characteristics of articles in peer-reviewed comparative and international education journals from the last three years in order to identify how the field has changed. Data explored include number of authors, author(s) institutional location(s), research methodology, content or context of analysis, and keywords. Results were compared to questions and recommendations posed by Bereday in 1964 and in the initial Annual Review in 2013. Single-country studies continued to dominate the field for the third year; however, there has been a shift in methodological approaches, with more balance between qualitative and quantitative methodologies. Collaboration, evidenced by an increase in co-authored articles, has increased across the field. Findings from keyword analysis show that although six keywords have remained at the top of the field across the three years, there are few topics which unite the field. These results indicate that although one strength of the field has been cited as its diversity, CIE lacks a common focus on methods, theories, or contents that set it apart from other education-affiliated disciplines. Scholars are encouraged to continue consistent and systematic reflection in determining future directions of the field by identifying unique approaches to distinguish CIE.

This chapter provides an examination of the characteristics of comparative and international education research published in 2020 as well as an overview of the trends in this research since 2014. This analysis of published research includes a special focus on authors situated in the Global South as well as those authors who are affiliated with organizations outside of academic (i.e., professional, non-teaching organizations). These two focus characteristics reflect the shifting composition of authors and research in comparative and international education in the twenty-first century as well as the professionalization aspirations of the field of comparative and international education more broadly. Evidence from the seven years of data collection suggests that there is a marked shift toward increasingly more co-authored research, a shift from predominantly qualitative methods to non-empirical research content, and a rise in topic oriented research over the otherwise dominant single-country study in comparative and international education research.

In this chapter the relationship between job design and older workers is considered. Starting from a conceptual definition of what the concept job and work design is, we consider theoretic approaches to the study of job design over the last decades, including recent frameworks, measurement, and research. We follow this with a specific focus on the topic of job design for older workers. We argue that the rules of “good job design” are not applicable to all workers, focusing specifically on the issues of age and career stage. We next show through a theoretical model and some empirical research that some job characteristics may be more suitable or beneficial for people in older age groups or later stages of their careers (e.g., Truxillo, Cadiz, Rineer, Zaniboni, & Fraccaroli, 2012). Empirical support for the role of age in job design is considered. We conclude by defining some avenues for future research, including the identification of additional factors that may determine how age and job characteristics affect worker behavior, attitudes, and well-being.