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Over the past 30 years there has been a growing interest in fiction by Native American authors. An increasingly diverse crop of Indian writers have produced innovative and sometimes controversial works, but often critics, readers and the book publishing community have concentrated their attention on older, more established writers. This article identifies younger and up‐and‐coming Native American authors, many of whom are producing major literary works, but have not received the attention they deserve. The article also discusses ways researchers and those involved in collection development can track down information on rising Indian authors and their novels.

The increased use of, and reliance upon, technology and digitalisation, especially in the galleries, libraries, archives and museums [GLAM] sector, has motivated innovative approaches to the curation of cultural material. These changes are especially evident when collaborating with Indigenous partners. Indigenous Data Governance [IDG] and Indigenous Data Sovereignty [IDS], with an emphasis on self-determination of Indigenous peoples, have called for an emerging focus on ethical and culturally sensitive approaches to data collection and management across a range of disciplines and sectors.

This chapter reports on broader discussions, specifically with mid-North South Australia, Indigenous community members around the appropriate and ethical collection, representation and curation of cultural material on Country applying digital formats. It investigates ways to create a ‘future identity’ through built form as well as providing a ‘safe’ place for preservation of their oral histories.

It highlights the many questions raised around the ethically and culturally sensitive aspects of the collection, curation and archiving of Indigenous cultural material. It documents the preliminary outcomes of these conversations in the context of current research on IDS best practices in the field. The non-Aboriginal authors acknowledge our supporting position in the realisation of effective IDS and self-determination of our Aboriginal partners.

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.

The purpose of this paper is to evaluate how consumers simultaneously process multiple cues for different dining occasions when making a restaurant decision.

This paper investigates the influence of priming (review prototype), effort (distance) and involvement (occasion) on restaurant evaluations, willingness to drive and willingness to pay for a restaurant meal. A 2 (prototype: negative, positive) × 2 (distance: close, far) × 2 (occasion: casual, special) between-subjects factorial design was used.

The paper finds that each variable influences a different outcome, whereby people rely on a review prototype for restaurant evaluation and choice, a distance cue for willingness to drive and a dining occasion for willingness to pay.

This paper suggests that restaurant marketers can highlight exemplary service through online reviews, increase profitability by promoting special occasions and geographically expand their market by attracting people to drive for a special dinner.

This paper evaluates the simultaneous interactive effects of multiple cues in service settings. It demonstrates that situational cues moderate the effect of primary cues in online reviews.

Excessive initial trading day returns (termed underpricing (UP)) and poor long‐run performance (LRP) are two well‐documented anomalies associated with initial public offerings (IPOs).The primary objective of this study is to empirically test the association between the extent of intellectual capital (IC) disclosure in the prospectus of an unseasoned IPO and: UP and LRP.

Ex ante uncertainty surrounding IC – recognized as the pivotal resource underlying a firm's future value creation and sustainable competitive advantage in the “new economic” era – is likely to be high. Unseasoned IPOs world‐wide are increasing with many IPOs heavily IC‐reliant. Given ex ante uncertainty surrounding IC, there is an escalating need to understand how disclosure of information related to IC can reduce an IPO's cost of capital (i.e. UP) and provide an indication of LRP. The analysis is based on a sample of 228 Singapore IPOs listing during the period 1997‐2003. IC disclosure (ICDisc) in IPO prospectuses is measured using an 81‐item researcher constructed disclosure index.

Empirical findings indicate, contrary to expectations, a positive (negative) ICDisc‐UP (ICDisc‐LRP) association.

It is the opinion that regulators, scholars and practitioners alike need to pay attention to developing a responsible model for reporting IC information so as to prevent a potentially unhealthy speculative environment driven by over‐optimism.

The study is the first to simultaneously investigate the linkage between ICDisc and UP and: LRP.

This study examines the impact of the trading volume on Initial Public Offering (IPO) initial return in the context of an emerging market from January 2006 to December 2016. Models consist of hierarchical and multiple regressions have been evaluated. Our results show, firstly, IPO provides an average of 21.90% of initial return to investors on the first trading day, 9.08% of return on the second day of trading, and 7.12% of return on the third day of return. Secondly, there is a positive relationship between the oversubscription ratio and initial return and no relationship between trading volume and initial return on the first three trading day. Thirdly, the trading volume does not act as a moderator that worsens the relationship between the oversubscription ratio and initial return. Lastly, this study shows that investors should actively participate in the subsequent trading of an IPO. Higher participation will bring greater liquidity and shareholder wealth in the stock market. To the authors' knowledge, this is the first study on the moderating effect of trading volume on IPO initial return in an emerging market.

Purpose – The purpose of this chapter is to conduct a critical literature review that examines the origins and development of research on service robots in organizations, as well as the key emotional and cognitive issues between service employees, customers, and robots. This review provides a foundation for future research that leverages the emotional connection between service robots and humans.

Design/Methodology/Approach – A critical literature review that examines robotics, artificial intelligence, emotions, approach/avoid behavior, and cognitive biases is conducted.

Findings – This research provides six key themes that emerge from the current state of research in the field of service robotics with 14 accompanying research questions forming the basis of a research agenda. The themes presented are as follows: Theme 1: Employees have a forgotten “dual role”; Theme 2: The influence of groups is neglected; Theme 3: Opposing emotions lead to uncertain outcomes; Theme 4: We know how robots influence engagement, but not experience; Theme 5: Trust is necessary but poorly understood; and Theme 6: Bias is contagious: if the human mind is irrational…so too are robot minds.

Practical Implications – Practically, this research provides guidance for researchers and practitioners alike regarding the current state of research, gaps, and future directions. Importantly for practitioners, it sheds light on themes in the use of AI and robotics in services, highlighting opportunities to consider the dual role of the employee, examines how incorporating a service robot influences all levels of the organization, addresses motivational conflicts for employees and customers, explores how service robots influence the whole customer experience and how trust is formed, and how we are (often inadvertently) creating biased robots.