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The purpose of this study is to examine herd behaviour under different market conditions, examine the potential impact of the firm size and stock characteristics on this relationship, and explore how herding affects market prices in the German market.

The authors apply a method that does not rely on theoretical models, thus eliminating the biases inherent in their application. This technique is based on the assumption that macro herding manifests itself in the synchronicity (comovement) of stock returns.

The study’s findings show that herding is more pronounced in down markets and is more pronounced when market returns reach extreme levels. Additionally, the authors have found that there is stronger herding among large companies compared to small companies, and that stock characteristics considered have no effect on the degree of macro herding. Results also suggest that the contemporaneous market-wide information drives macro herding and that macro herding facilitates the incorporation of market-wide information into prices.

The study’s results strongly support the idea of directional asymmetry, which holds that stocks react quickly to negative macroeconomic news while small stocks react slowly to positive macroeconomic news. Additionally, the study’s results suggest that the contemporaneous market-wide information drives macro herding and that macro herding facilitates the rapid incorporation of market-wide information into prices.

To the best of the researchers’ knowledge, this is the first study that examines macro herding for a major financial market using a herding measure based on the co-movement of returns that does not rely on theoretical models.

This paper aims to explore the impacts of remote auditing on auditors’ work and work-life balance.

This paper adopted a qualitative online survey approach using open-ended reflections from 98 highly experienced auditors. The survey design aligns with a “Big Q” approach to qualitative data. The reflections were interpreted through the theoretical lens of the social presence theory.

Auditors underscore that remote auditing has improved their work-life balance since it offers flexibility, greater autonomy and efficient use of time. However, they believe less social contact due to remote auditing can hurt their work.

This study aimed to holistically comprehend the concept of work-life balance in a remote auditing setting. Therefore, the study refrained from making comparisons based on demographic information (e.g. gender, experience and type of audit firm).

The findings highlight the need for adopting flexible work arrangements that prioritise auditors’ well-being. This is critical for making the audit profession attractive and enhancing overall audit quality. Updated regulatory guidance and controls are needed concerning the use of technologies in remote auditing to ensure high-quality audits.

The findings of this study can positively reshape public perception of the audit profession. Firstly, enhanced work-life balance can improve audit quality. Secondly, incorporating emerging technologies in auditing can result in society perceiving auditors as adaptive to innovation and technological advancement that has been touted for their potential for enhancing the efficiency and effectiveness of audit and audit quality, potentially enhancing societal trust in auditing.

The findings of this study complement the auditing literature that has mainly focused on the traditional work paradigm, requiring in-person presence. The authors identify potential challenges emanating from auditors’ remote work and propose solutions for audit firms to improve work-life balance in a remote work setting.

Using overlapped portfolio data on public equity funds in Korea, the authors construct several types of fund-stock weighted bipartite networks and measure fund network centrality. The authors also examine the relationship between network centrality and fund investment performance. The authors' results are three-fold. First, the authors find that the fund centrality of the network in which funds and stocks are connected based on the most active investing behavior positively affects the fund performance. Second, the funds with a high centrality level based on the same network generate higher returns by holding stocks with high value uncertainty. Third, the authors find that fund centrality is not associated with herd behavior. Based on these results, the authors argue that fund centrality is a proxy of information advantage and skill of fund managers. The authors' paper shows that network analysis could be a new way to identify funds with better performance and measure the skill and information advantage to construct an optimal portfolio.

The overall objective of this study is envisaged to provide decision makers with actionable insights and access to multi-risk maps for the most in-danger stave churches (SCs) among the existing 28 churches at high spatial resolution to better understand, reduce and mitigate single- and multi-risk. In addition, the present contribution aims to provide decision makers with some information to face the exacerbation of the risk caused by the expected climate change.

Material and data collection started with the consultation of the available literature related to: (1) SCs' conservation status, (2) available methodologies suitable in multi-hazard approach and (3) vulnerability leading indicators to consider when dealing with the impact of natural hazards specifically on immovable cultural heritage.

The paper contributes to a better understanding of place-based vulnerability with local mapping dimension also considering future threats posed by climate change. The results highlight the danger at which the SCs of Røldal, in case of floods, and of Ringebu, Torpo and Øye, in case of landslide, may face and stress the urgency of increasing awareness and preparedness on these potential hazards.

The contribution for the first time aims to homogeneously collect and report all together existing spread information on architectural features, conservation status and geographical attributes for the whole group of SCs by accompanying this information with as much as possible complete 2D sections collection from existing drawings and novel 3D drawn sketches created for this contribution. Then the paper contributes to a better understanding of place-based vulnerability with local mapping dimension also considering future threats posed by climate change. Then it highlights the danger of floods and landslides at which the 28 SCs are subjected. Finally it reports how these risks will change under the ongoing impact of climate change.

This paper aims to establish a fundamental and comprehensive understanding of non-fungible tokens (NFTs) by identifying and structuring common characteristics within a taxonomy. NFTs are hyped and increasingly marketed as essential building blocks of the Metaverse. However, the dynamic evolution of the NFT space has posed challenges for those seeking to develop a deep and comprehensive understanding of NFTs, their features and their capabilities.

Utilizing common guidelines for the creation of taxonomies, the authors developed (over 3 iterations), a multi-layer taxonomy based on workshops and interviews with 11 academic and 15 industry experts. Through an evaluation of 25 NFTs, the authors demonstrate the usefulness of the taxonomy.

The taxonomy has 4 layers, 14 dimensions and 42 characteristics, which describe NFTs in terms of reference object, token properties, token distribution and realizable value.

The authors' framework is the first to systematically cover the emerging NFT phenomenon. This framework is concise yet extendible and presents many avenues for future research in a plethora of disciplines. The characteristics identified in the authors' taxonomy are useful for NFT- and Metaverse-related research in finance, marketing, law and information systems. Additionally, the taxonomy can serve as an information source for policymakers as they consider NFT regulation.

This study proposes that reciprocity appeal may influence consumers helping behavior. The authors suggest that this influence depends on the target of reciprocity (direct vs. indirect), consumer–brand social distance (close vs. distant) and frequency of exposure to the appeal over time.

This research was conducted through three experimental studies. They were carried out both through online experiment (Study 1) and in laboratory (Studies 2 and 3). Study 3 consisted of an experiment combined with longitudinal growth models, supporting the hypothesis that repetitive periods decrease reciprocity over time.

The results demonstrate that consumers close to a brand become more prosocial toward the company when the reciprocity appeal is perceived as direct (vs. indirect). In contrast, the indirect reciprocity appeal influences consumers distant from the company. Furthermore, reciprocity appeal decreases consumer helping behavior over time, but indirect reciprocity appeal attenuates this negative effect only to close customers.

This research contributes to theory by showing that direct reciprocal appeals increase the helping behavior of close customers when company appeals are infrequently made.

This research is the first to empirically investigate the efficiency of voucher campaigns. Furthermore, it innovates by exploring a situation of direct consumer reciprocity in which the consumer decides to help a company with an expectation, but no explicit requirement, that the company will reciprocate.