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To promote the success of peer-to-peer accommodation, this study examines the effects of online host–guest interaction as well as the interaction's boundary conditions of listing price and reputation on listing popularity.

Using 330,686 data collected from Airbnb in the United States of America, the authors provide empirical evidence to answer whether social-oriented self-presentation and response rate influence listing popularity from the perspective of social exchange theory (SET). In addition, the authors investigate how these two kinds of online host–guest interactions work with listing price and reputation to influence listing popularity.

The results reveal the positive association between online host–guest interaction and listing popularity. Notably, the authors find that listing price strengthens but listing reputation weakens the positive effects of online host–guest interactions on listing popularity in peer-to-peer accommodation.

This study is the first attempt to adopt SET to explain the importance of online host–guest interactions in influencing listing popularity as well as examine the moderating role of listing price and reputation on the above relationship.

This paper develops the approach suggested by Howe et al. to examine the impact of cross‐listings on stock price volatility in Europe.

A modified generalized autoregressive conditional hetero‐skedasticity (GARCH) modeling approach as suggested by Li and Engle is used taking into account different regulatory structures across the range of markets using LaPorta et al.'s stock market regulatory classification.

It is found that information spillover effects are important for the Dutch market for cross‐listed equities and that a different regulatory environment may have a noteworthy impact on symmetric information spillovers.

The focus is 11 cross‐listing equities and on an event window of 12 years. This implies that the results may be biased on the data sample and the length of the period that used.

The findings are important for the shareholders of cross‐listed companies as the various impacts of regulatory differences between markets (as a result of low and high shareholder protection rules) from foreign markets to the Dutch home market are identified.

A primary focus of this paper is to provide a different methodology than the one adopted by Howe et al. using a modified GARCH modeling approach as suggested by Li and Engle, to examine the impact of the cross‐listings of Dutch firms on symmetric volatility spillovers. The analysis also takes into account the influence of different regulatory structures across the range of markets where Dutch firms are cross‐listed. In particular, we use LaPorta et al.'s stock market regulatory classification is used to analyze the magnitude and persistence of symmetric volatility spillovers from the foreign listing to the home equity of cross‐listed companies in the Dutch stock exchange.

This paper attributes the clustered occurrence of over-guarantee crises of Chinese listed firms to behavioural interactions among them when engaged in guarantee decisions, verifying the existence of the peer effect (PE) and its role in the formation mechanism of such crises.

Reviewing the literature, the authors constructed a panel dataset of Chinese listed firms from 2011 to 2019 to empirically verify two types of PE by constructing industrial and regional PE indicators. The authors conduct grouped regressions according to firm heterogeneity and managers’ individual characteristics to explain the motives for the over-guaranteeing PE and also analysed the interaction between the financial market and the PE to reveal the external governance mechanism.

The authors find that the over-guarantee behaviour of Chinese listed firms exhibits strong industrial and regional correlations, which may lead to guarantee crises clustering. Firms with lower information quality, smaller asset size, and higher managerial overconfidence will be more likely to be influenced by other listed firms to over-guarantee. A favourable financial market environment can effectively inhibit listed firms from imitating the guaranteeing behaviour of peer firms.

This study’s results challenge the traditional theoretical perspective of independent financial decision-making, describe the interaction among listed firms in decision-making, and expand the existing theoretical literature on over-guaranteeing. The stickiness of guarantee behaviour may affect the accuracy of the authors’ estimations, and the differences between the industrial and regional PE require further research.

The PE of over-guaranteeing shows that a single firm has a “spill-over effect” on the guarantee decisions of other firms in the same industry or region. Improving the information environment of listed firms financing decision-making and establishing a more demanding guarantee access mechanism may reduce this dependence on listed firms’ decisions. Firms should also appropriately strengthen decision-making constraints on managers to avoid istortions in financial decisions due to managers’ personal cognitive biases.

Using PE theory, the authors explain the influence mechanisms of financial distress of Chinese listed firms due to industrial and regional clustering of over-guarantee behaviour from the perspective of behavioural interaction.

The purpose of this paper is to determine whether there is a difference in the development of shopping lists and use of advertisements as pre-store food-buying practices in terms of planned shopping by South African consumers who dwell in different socio-economic status (SES) areas. The paper also considers the influence of shopper and socio-demographic characteristics on pre-store food-buying practices in a developing country.

A self-administered questionnaire was used to survey 1 200 consumers in retail stores in low, middle and high SES areas in South Africa. A generalised linear model was employed for the statistical analysis of pre-store food-buying practices within the SES area groups in a developing country.

South African consumers that reside in high SES area displayed the largest of shopping list development, while consumers who dwell in low SES areas showed the highest incidence of advertisement usage. Several shopper and socio-demographic characteristics were also found to have an influence on pre-store food-buying practices in different SES areas in South Africa.

A qualitative approach would offer a deeper understanding of consumers’ pre-store food shopping predispositions as opposed to the quantitative approach, which was adopted for this study. A longitudinal design would also provide a more extensive representation of pre-store food shopping practices over a longer time frame than cross-sectional research. The survey was conducted on Saturdays, whereas consumers who shop during the week may have different shopping and socio-demographic characteristics.

Astute food brands, marketers and grocery stores could use the findings of this study to assist with their marketing efforts that they direct at consumers in different SES areas in South Africa and other developing countries.

The findings of this study may assist consumers in developing countries, especially those who reside in low SES areas, with food-buying strategies to reduce food costs, make wiser purchase decisions and reduce shopping.

No study (to the best of the researchers’ knowledge) has considered shopping list development and use of advertisements’ pre-store food-buying practices in different SES areas in a developing country. Furthermore, there is a dearth of research analysing shopper and socio-demographic characteristics in relation to pre-store food-buying practices among different SES areas in developing and developed countries.

Peer-to-peer (P2P) accommodation sharing has become a significant part of the travel and lodging industry, allowing homeowners to engage in entrepreneurial activity via sharing of resources. However, there is limited understanding of how hosts can use listing descriptions to better match their offerings to different consumer segments. The purpose of this paper is to understand the use of listing descriptions by Airbnb hosts and the impact of such descriptions on sales performance.

In this paper, a deep learning-based sentence-level aspect mining approach is used to extract various aspects from host-provided listing descriptions. Then a regression-based approach is used to understand the impact of various aspects of listing descriptions on listing performance.

It was found that aspects for which listing descriptions are the sole source of information have the greatest influence on listing performance. The authors also find that the impact of an aspect on listing performance varies by listing type, and that there is a mismatch between the most included aspects by hosts in their listing descriptions and the most influential aspects that impact sales.

The impact of consumer reviews in the context of Airbnb has been extensively studied. A novel aspect of this study is the exploration of P2P accommodations from a supplier perspective, by understanding the use and impact of host-provided textual descriptions on sales. The findings of this study can help better market properties from a practice perspective and better understand consumer information consumption from a theoretical perspective. The authors also demonstrate a new approach for exploring social phenomena by performing quantitative analysis on textual data using deep-learning and regression-based techniques.

Investors often utilize brokers to assist them in property acquisitions. These brokers are compensated through a cooperative commission, or bonus, that is publicized on the listing service. The purpose of this paper is to determine the relationship between advertised compensation packages and selling price, time-on-market and listing characteristics.

To examine variables likely to influence earnings of the buyers' broker, this study utilizes multiple and logistic regressions. Given the range of prices found in the 196,276 listings, the data was sorted on listing price and then split into ten, approximately equal, deciles.

The explanatory power of models with cooperative commission as the dependent variable was highest in the lowest deciles with type of financing, size and distressed status being highly significant. When comparing list- to selling price the average was 96.1%. As cooperative commission increased, the higher priced parcels sold at a higher price relative to list price. This potentially justifies higher cooperative commissions or exemplifies the principal-agent problem where effort is based on potential earnings. Fixed bonuses were used predominately for parcels under $62,234, likely to provide a minimum earnings amount. However, surrounding the median, it seems they may differentiate a property.

This research provides insight for practitioners on the impact of different variables, including cooperative commissions, on sale price and time-on-market. For example, cooperative commission increased for properties in the outer deciles implying that agents may be compensating for suspected difficulty. Additionally, the seasonality findings imply that agents can determine when to list and when to provide a fixed bonus to solicit attention. Results also suggest that practitioners will find it beneficial to market at an appropriate price rather than list high to create negotiating room.

This paper follows only one paper that covered a similar topic. However, this paper uses twenty years of multi-unit property listings from a major US city from 1996 to 2015. The focus on multi-unit properties is an effort to focus on a more sophisticated group of buyers that may be more experienced and make decisions more rationally.

The purpose of this paper is to develop a network of interlinked hypotheses about determinants of corporate disclosure in Central Europe – especially in Germany and Poland – and evaluate it empirically.

The hypotheses network is developed from literature and evaluated with structural equation modeling. Sixty annual reports from Germany and Poland have been examined using an enhanced version of the PRISM‐project content analysis approach with 118 items.

Firm size and industry do not directly influence corporate disclosure but are mediated by crosslisting. The home country effect is of a direct and indirect nature with the latter being mediated by firm size and crosslisting.

Manual content analysis of reports limits validity, reliability, sample and country focus. Further research needs to address additional factors influencing corporate disclosure.

Companies’ disclosure quality seems to profit the most from crosslisting activities as then listing requirements of several stock exchanges have to be fulfilled simultaneously.

By the rare application of structural equation analysis in corporate disclosure literature secondary effects that are mediated by crosslisting and have a strong influence on corporate disclosure are analyzed. These indirect relations of industry, country, and firm size are even stronger than the direct ones that are intensively discussed in the literature.

Based on signaling theory, this paper aims to explore the impact of supply chain transparency (SCT) on firms' bank loan (BL) and supply chain financing (SCF) in the context of voluntary disclosure of supplier and customer lists.

Based on panel data collected from Chinese-listed firms between 2012 and 2021, fixed-effect models and a series of robustness checks are used to test the predictions.

First, improving SCT by disclosing major suppliers and customers promotes BL but inhibits SCF. Specifically, customer transparency (CT) is more influential in SCF than supplier transparency (ST). Second, supplier concentration (SC) weakens SCT’s positive impact on BL while reducing its negative impact on SCF. Third, customer concentration (CC) strengthens the positive impact of SCT on BL but intensifies its negative impact on SCF. Last, these findings are basically more pronounced in highly competitive industries.

This study contributes to the SCT literature by investigating the under-explored practice of supply chain list disclosure and revealing its dual impact on firms' access to financing offerings (i.e. BL and SCF) based on signaling theory. Additionally, it expands the understanding of the boundary conditions affecting the relationship between SCT and firm financing, focusing on supply chain concentration. Moreover, it advances signaling theory by exploring how financing providers interpret the SCT signal and enriches the understanding of BL and SCF antecedents from a supply chain perspective.