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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.

Based on a qualitative content analysis of 57 curricula vitae of authors who published their work in the major journals of the educational administration (EA) field, this paper seeks to display the career of EA authors and to suggest some epistemological implications for the field.

The analysis is based on both quantitative and qualitative modes of inquiry, according to which the curricula vitae is seen as a document that is susceptible to textual analysis.

EA authors receive their academic degrees in a host of disciplines from many countries and universities, usually work in the compulsory educational system, and hold many academic roles in their university. They teach courses, conduct research and publish works on a host of topics, three of which are very widespread: leadership, managerial processes, and organisational aspects.

The analysis acquaints the reader with some of many aspects of the professoriate in diverse countries, and helps probe the uncertainty and fragmented nature of the field of EA. It ends with scholarly implications for the recruitment of new field members.

The purpose of this paper is to explore graduate students’ behaviour and perspectives regarding personal digital document management, as well as insights into the connections between memory and document re-finding.

Semi-structured interviews were conducted with 15 graduate students studying information and library science. The interviews were digitally recorded and transcribed. The transcripts were analysed using open and axial coding.

Participants were overall positive about the importance of managing their digital documents but they had little knowledge about currently available personal information management (PIM) tools. Characteristics of digital documents frequently used by participants to re-find documents include name, subject, storage location, creation time, keyword, document title, document file type, user’s location and recency. For participants the act of organizing documents is itself a memory aid. Participants’ recommendations for PIM tools include support for information organization and simplistic visualizations that can be customized, e.g., using colour to highlight folders or documents.

The number of study participants was relatively small, and further studies should examine a more diverse participant sample, e.g., to investigate whether tasks influence re-finding. Further studies should also examine PIM with respect to other types of devices and services, including tablets and cloud services.

The results include recommendations for future PIM tool design.

This research identifies documents’ characteristics that participants use to re-find documents and the importance of these characteristics. It also examines the usage and expectations of PIM tools in everyday PIM.

The purpose of this paper is to investigate the definition of lean production and the methods and goals associated with the concept as well as how it differs from other popular management concepts.

The paper is based on a review of the contemporary literature on lean production, both journal articles and books.

It is shown in the paper that there is no consensus on a definition of lean production between the examined authors. The authors also seem to have different opinions on which characteristics should be associated with the concept. Overall it can be concluded that lean production is not clearly defined in the reviewed literature. This divergence can cause some confusion on a theoretical level, but is probably more problematic on a practical level when organizations aim to implement the concept. This paper argues that it is important for an organization to acknowledge the different variations, and to raise the awareness of the input in the implementation process. It is further argued that the organization should not accept any random variant of lean, but make active choices and adapt the concept to suit the organization's needs. Through this process of adaptation, the organization will be able to increase the odds of performing a predictable and successful implementation.

This paper provides a critical perspective on the discourse surrounding lean production, and gives an input to the discussion of the implementation of management models.

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.

The purpose of this paper is twofold. The first is to map the most influential literature in nonprofit finance and financial management. The second is to understand why the literature has evolved the way it has, including isolated silos developing in certain disciplines.

The review includes articles assembled from three sources: a core list, an expert list and journal archive searches on phrases that emerged. Using social origins theory as a guide, we coded 119 articles for traits such as root discipline, methodology and author characteristics.

Research tends to stay confined within the doctoral discipline of the author, who publishes in journals valued by their discipline. This has caused limited cross-referencing across disciplines, and it has allowed different understandings and judgments of the same phenomenon to exist in different fields. Data availability drives much of the research agenda, but author teams of mixed disciplines are promising.

Unlike a traditional literature review, this study identifies factors that have had a formative influence on the development of the diverse field of nonprofit finance and financial management. This diversity has resulted in a fractured field held in silos with few indigenous developments. Using social origins theory as a guide, this study provides an overview of the most consequential literature through the analysis of authors and institutional characteristics. This approach provides an evolutionary perspective and illustrates how this disciplinary adherence has created a research topography that limits progress for both scholars and practitioners.

In most of the literature, knowledge management is treated as a universal practice, which is transferable from one country or company to another. There are some empirical hints that this is not always the case. The main research question, which this paper aims to answer, is: Which cultural characteristics in Germany and Hong Kong influence knowledge transfer?

A qualitative and exploratory approach has been used to answer the research question. A series of 13 in‐depth interviews was conducted during April and May 2008 with experts from a range of various professional backgrounds in Hong Kong and Germany. Approaches of cultural characteristics are discussed and linked with the topic of knowledge transfer.

The findings show that knowledge transfer depends on national cultural characteristics which are power distance, performance orientation, in‐group collectivism, and uncertainty avoidance.

As the research was conducted in two countries only, the findings cannot be generalized. In addition the sample is limited to only 13 interviewees. Therefore, further and also quantitative research is necessary.

If companies introduce knowledge management systems in order to support worldwide knowledge transfer, national cultural characteristics have to be taken into account; it is not enough to provide only the technology.

Findings of cultural studies (e.g. GLOBE) and the approach of knowledge transfer are linked with each other. Moreover, empirical evidence is given for the cases Hong Kong and Germany.

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.

This paper seeks to analyze and evaluate different types of semantic web retrieval systems, with respect to their ability to manage and retrieve semantic documents.

The authors provide a brief overview of knowledge modeling and semantic retrieval systems in order to identify their major problems. They classify a set of characteristics to evaluate the management of semantic documents. For doing the same the authors select 12 retrieval systems classified according to these features. The evaluation methodology followed in this work is the one that has been used in the Desmet project for the evaluation of qualitative characteristics.

A review of the literature has shown deficiencies in the current state of the semantic web to cope with known problems. Additionally, the way semantic retrieval systems are implemented shows discrepancies in their implementation. The authors analyze the presence of a set of functionalities in different types of semantic retrieval systems and find a low degree of implementation of important specifications and in the criteria to evaluate them. The results of this evaluation indicate that, at the moment, the semantic web is characterized by a lack of usability that is derived by the problems related to the management of semantic documents.

This proposal shows a simple way to compare requirements of semantic retrieval systems based in DESMET methodology qualitatively. The functionalities chosen to test the methodology are based on the problems as well as relevant criteria discussed in the literature. This work provides functionalities to design semantic retrieval systems in different scenarios.

This paper aims to assess the predictive power of authorship properties determined at the time of publishing conference papers on future citations of conference papers in computer and information science.

This study examined 21 factors – related to all authors and to the first author – as potentially predictive of citation counts. Specifically, the study assessed properties of author's academic performance, degree of collaboration and topological properties of their research collaboration networks.

The results of comparing all authors with first authors indicate that the all author-related factors have a significantly higher power for explaining conference paper citation counts than the first author-related factors. Moreover, among the all author-related factors, the degree centrality before the target paper made the largest contribution.

This is one of the first attempts to focus on the relationship of author characteristics to conference papers. This is also one of only a few studies to expand prior research, which limited its bibliometric foci to journal articles, to conference papers.