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The main purpose of the paper is to offer a personal view on the development of documentation/information and documentation (IuD) in Germany, while pointing out the need to further investigate the specific features of its development paths. The methodology is based on critical review of the available literature sources in the German language.

The paper uses the method of critical review of published documents in journals (especially in Nachrichten für Dokumentation), books and reports of state and provincial administrations that are directly related to monitoring and/or encouraging the development of the young field of documentation.

The paper offers a review and interpretation of the most significant development phases, the contributions of individuals and the influence of the official state and information policy based on the consulted sources.

This research is limited to the literature written in German language.

The paper could be of interest to researchers and professionals who are interested in the development of documentation.

The paper covers the period after the World War II until the end of 1980s that is especially interesting from the social point of view in divided Germany.

To the author’s knowledge, there is no comprehensive history of documentation in German-speaking countries written in English. This paper is the result of a research project started three years ago with colleagues from Germany, Austria and Switzerland, that aims to cover all phases of the appearance and development of information science in German-speaking countries and could be understood as a kind of introduction to papers planned to follow.

The aim of this paper is to systematically review the literature published in recognized journals focused on recognition-based heuristics and their effect on investment management activities and to ascertain some substantial gaps related to them.

For doing research synthesis, systematic literature review approach was applied considering research studies published within the time period, i.e. 1980–2020. This study attempted to accomplish a critical review of 59 studies out of 118 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioural finance domain-related explicitly to recognition-based heuristics and their effect on investment management activities.

The survey and analysis suggest investors consistently rely on the recognition-based heuristic-driven biases when trading stocks, resulting in irrational decisions, and an investment strategy constructed by implementing the recognition-based heuristics, would not result in better returns to investors on a consistent basis. Institutional investors are less likely to be affected by these name-based behavioural biases in comparison to individual investors. However, under the context of ecological rationality, recognition-based heuristics work better and sometimes dominate the classical methods. The research scholars from the behavioural finance community have highlighted that recognition-based heuristics and their impact on investment management activities are high profile areas, needed to be explored further in the field of behavioural finance. The study of recognition-based heuristic-driven biases has been found to be insufficient in the context of emerging economies like Pakistan.

The skilful understanding and knowledge of the recognition-based heuristic-driven biases will help the investors, financial institutions and policy-makers to overcome the adverse effect of these behavioural biases in the stock market. This article provides a detailed explanation of recognition-based heuristic-driven biases and their influence on investment management activities which could be very useful for finance practitioners’ such as investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/ broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making its financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on recognition-based heuristic-driven biases displayed by investors. The current study is original in discussing the role of recognition-based heuristic-driven biases in investment management activities by means of research synthesis. This paper is useful to researchers, academicians, and those working in the area of behavioural finance in understanding the role that recognition-based heuristics plays in investment management activities.

The effects of board composition on performance have long been discussed in management research using fractionalization measures. In this study, we propose an alternative measurement approach based on board polarization.

Using an exploratory analysis and applying the polarization measure to German Deutscher Aktienindex (DAX)-, Midcap-DAX (MDAX)- and Small Cap-Index (SDAX)-listed companies, this paper applies the polarization index to examine the relationship between board diversity and performance.

The results show that the polarization concept is well suited to measure principal-agent problems between the members of the management and supervisory boards. We reveal that board polarization is negatively associated with firm performance, as measured by return on investment (ROI).

This exploratory study shows that the measurement of board polarization can be linked to performance differences between companies, which offers promising starting points for further research.

In this study the authors aim to outline new ways of information extraction for automated valuation models, which in turn would help to increase transparency in valuation procedures and thus contribute to more reliable statements about the value of real estate.

The authors hypothesize that empirical error in the interpretation and qualitative assessment of visual content can be minimized by collating the assessments of multiple individuals and through use of repeated trials. Motivated by this problem, the authors developed an experimental approach for semi-automatic extraction of qualitative real estate metadata based on Comparative Judgments and Deep Learning. The authors evaluate the feasibility of our approach with the help of Hedonic Models.

The results show that the collated assessments of qualitative features of interior images show a notable effect on the price models and thus over potential for further research within this paradigm.

To the best of the authors’ knowledge, this is the first approach that combines and collates the subjective ratings of visual features and deep learning for real estate use cases.

This study investigates the impact of the Paris Agreement (and other factors) on carbon information disclosures to the Carbon Disclosure Project (CDP).

A sample of South African listed companies was selected and data analysed from 2013 to 2017. A random effect panel data model using SPSS was used to determine whether the Paris Agreement had an effect on carbon information disclosure.

The results indicate that (1) the Paris Agreement, as an example of an intergovernmental coordination initiative, is significant in creating awareness and increasing the carbon disclosures to the CDP. Furthermore, (2) in terms of the other factors examined, providing incentives for managing climate change and assessing climate risks further into the future improves disclosure quality, while no relationship was found between the CDP score and the approval by key management personnel.

This research examines CDP disclosures for an emerging market before and after the signing of the Paris Agreement.

This research shows the importance of supportive government policy. Furthermore, a commitment to climate change disclosure is manageable and achievable and needs to be implemented at the management level.

The building sector contributes one-third of the energy-related carbon dioxide globally. Therefore, framing appropriate energy-related policies for the next decades becomes essential in this scenario to realize the global net-zero goals. The purpose of the proposed study is to evaluate the impact of the widespread adoption of such guidelines in a building community in the context of mixed-mode buildings.

This study decentralizes the theme of improving the energy efficiency of the national building stock in parcels by proposing a community-based hybrid bottom-up modelling approach using urban building energy modelling (UBEM) techniques to analyze the effectiveness of the community-wide implementation of energy conservation guidelines.

In this study, the UBEM is developed and validated for the 14-building residential community in Mumbai, India, adopting the framework. Employing Energy Conservation Building Code (ECBC) compliance on the UBEM shows an energy use reduction potential of up to 15%. The results also reveal that ECBC compliance is more advantageous considering the effects of climate change.

In developing countries where the availability of existing building stock information is minimal, the proposed study formulates a holistic framework for developing a detailed UBEM for the residential building stock from scratch. A unique method of assessing the actual cooling load of the developed UBEM is presented. A thorough sensitivity analysis approach to investigate the effect of cooling space fraction on the energy consumption of the building stock is presented, which would assist in choosing the appropriate retrofit strategies. The proposed study's outcomes can significantly transform the formulation and validation of appropriate energy policies.

The purpose of this paper is to revisit the potential of the New Deal as a research context in management and organization studies and, in doing so, forward the role one of its chief architects, Harry Hopkins, played in managing the economic crisis. The exploration takes us to multiple layers that work together to form context around Hopkins including the Great Depression, the Roosevelt Administration, and ultimately, the New Deal. By raising Harry Hopkins as an exemplar of historical-narrative exclusion, the authors can advance the understanding of his role in the New Deal and how his actions produced early insights about management (e.g. modern crisis management).

The paper experiments with the methodological assemblage of ANTi-History and microhistorical analysis that the authors call “ANTi-Microhistory” to examine the life narrative of Harry Hopkins, his early association with President Franklin D. Roosevelt and later, the New Deal. To accomplish this, the authors undertake a programme of archival research (e.g. the digital repository of The Franklin D. Roosevelt Presidential Library and Museum) and assess various materials (e.g. speeches, biographies and memoirs) from across multiple spaces.

The findings suggest Harry Hopkins to be a much more powerful actor in mobilizing New Deal policies and their effect on early management thought than what was previously accepted. In the process, the authors found that because of durable associations with Roosevelt, key policy architects of the same ilk as Harry Hopkins (e.g. Frances Perkins, Henry Wallace, Lewis Douglas, and others) and their contributions have been marginalized. This finding illustrates the significant potential of little-known historical figures and how they might shed new insight on the development of the field and management practice.

The aim is to demonstrate the potential of engaging historical research in management with the individual – Harry Hopkins – as a unit of analysis. By engaging historical research on the individual – be it well-known or obscure figures of the past – the authors are considering how they contribute to the understanding of phenomena (e.g. New Deal, Progressivism or Keynesian economics). The authors build on research that brings to focus forgotten people, communities and ideas in management studies but go further in advocating for space in the research to consider the scholarly potential of the individual.

This chapter examines how and why Asian bookmakers have surpassed the rest of the sports gambling market in betting volume. It critically unpacks the size, structure and operations of this market, before examining the globalisation of match-fixing that accompanies this, largely, unregulated market. While there has been some excellent research on the structure of the Black/Red Mafia controlled gambling in Communist China or match-fixing in national markets like South Korea and Taiwan, this chapter is one of the first comprehensive examinations of the globalised Asian gambling market and its contribution to sports corruption.

Blockchain is a technical solution integrating multiple technologies, with the potential to overcome the drawbacks of organizational governance. Given the emergence and prevalence of blockchain, its importance for organizational governance has progressively increased. Therefore, this study aims to analyze how blockchain restructure organizational governance.

This study presents a structured systematic literature review of blockchain-enabled applications across diverse organizational governance models and several case studies to illustrate them. Based on the above analysis, governance mechanisms, transaction upgrading and challenges are proposed.

Based on the literature review and typical applications, the authors summarize the advances in the research on the theoretical and practical applications of blockchain in organizational governance. We also identify the influence mechanisms of organizational governance and investigate transaction upgrading based on blockchain. Finally, the authors discuss three types of challenges (i.e. administrative, technical and environmental) to the relationship between blockchain and organizational governance. Along with the development of blockchain applications, the impact of blockchain on organizational governance has progressed in both theory and practice. Therefore, these findings will have significant implications for both academics and practitioners.

This paper makes three key theoretical contributions: we review the literature on the impact of blockchain on organizational governance and present typical cases to illustrate it; propose four governance mechanisms for the application of blockchain in organizational governance; and propose an innovating-and-matching-oriented model of transaction upgrading based on blockchain.

This study aims to explore the interplay between community dynamics and knowledge production using the quantum computing research field as a case study. Quantum computing holds the promise of dramatically increasing computation speed and solving problems that are currently unsolvable in a short space of time. In this highly dynamic area of innovation, computer companies, research laboratories and governments are racing to develop the field.

After constructing temporal co-authorship networks, the authors identify seven different events affecting communities of researchers, which they label: forming, growing, splitting, shrinking, continuing, merging, dissolving. The authors then extract keywords from the titles and abstracts of their contributions to characterize the dynamics of knowledge production and examine the relationship between community events and knowledge production over time.

The findings show that forming and splitting are associated with retaining in memory what is currently known, merging and growing with the creation of new knowledge and splitting, shrinking and dissolving with the curation of knowledge.

Although the link between communities and knowledge has long been established, much less is known about the relationship between the dynamics of communities and their link with collective cognitive processes. To the best of the authors’ knowledge, the present contribution is one of the first to shed light on this dynamic aspect of community knowledge production.