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The selection of experts for Delphi studies is crucial for the quality of the forecast results and the information taken into account. In the past, this has usually been done by selecting participants according to their reputation, although this approach is questionable in terms of reaching the most knowledgeable participants having new, relevant and valid information. In this context, this paper aims to propose to operate a prediction market alongside Delphi studies and select participants based on their trading behaviour in the market for the Delphi study.

Based on more than three years of historical prediction market trading data, the authors verify attributes that indicate insightful trades, as previously discussed in the finance literature, by using regression and classification trees.

The paper contributes attributes of trading behaviour that are theoretically derived from literature and potentially related to informed traders. These are tested and evaluated on historical prediction market data. Especially, the trading volume, the spread at the moment of trading and the market maker attribute seem to predict informed traders the best.

Algorithms based on identified attributes can be used to objectify the selection of experts for Delphi studies with potential gains in terms of the amount of information considered.

Employees demand high responsibility and empowerment, while keeping their work communal and flexible. Initiatives that foster organizational participation (OP) can contribute to the fulfillment of such work conditions. Research in sociology and psychology demonstrated positive effects on job satisfaction as well as on productivity. However, adoption of social software is widely spread in firms, research on the determinants of computer-supported OP is scarce. The purpose of this paper is to describe the elements to consider when designing OP processes that aim to be beneficial for both the employer as well as the employees.

The authors conducted 20 guided expert interviews to propose a nascent design theory, following a socio-technical approach that promotes democratic and humanistic principles.

Building on the expert interview, the process model includes a topic horizon and a collaboration phase, which creates proposals that have to be decided in order to produce results. The authors show how employee competence and leadership commitment are as important as the workload and support as well as an option for anonymous communication. The authors propose a set of features and explain principles of implementation.

Despite the authors’ best efforts to diversify the authors’ set of experts, the findings have a limited generalizability as the authors only interviewed a few selected German experts that were either members of the board, HR or IT managers, often concerned with organizing rather than only participating in computer-supported organizational participation (CSOP) processes. Besides testing the model in practise, future research should also consider surveying a broader (and more international) set of employers and employees.

The authors propose a step-by-step procedure to introduce CSOP. Despite identifying many pitfalls, the research demonstrates that CSOP promises a wide variety of benefits to both employers as well as the employees of an organization, including increased satisfaction as well as productivity.

This is one of the first studies to propose a nascent design theory for CSOP. The authors derive a number of requirements to consider when implementing an information management system that seeks to improve both the efficiency and equality of employers and employees and lead to a win-win situation for both. The authors describe valid constructs for firms with spatially and timely dispersed teams and more than 50 employees. The research is based on 20 expert interviews, conducted with senior managers of medium and large German enterprises.

A growing body of research from various domains has investigated Airbnb, a two-sided market platform for peer-based accommodation sharing. The authors suggest that it is due time to take a step back and assess the current state of affairs. This paper aims to conflate and synthesize research on Airbnb.

To facilitate research on Airbnb and its underlying principles in electronic commerce, the authors present a structured literature review on Airbnb.

The findings are based on 118 articles from the fields of tourism, information and management, law and economics between 2013 and 2018. Based on this broad basis, the authors find that: research on Airbnb is highly diverse in terms of domains, methods and scope; motives for using Airbnb are manifold (e.g. financial, social and environmental); trust and reputation are considered crucial by almost all scholars; the platform’s variety is reflected in prices; and the majority of work is based on surveys and empirical data while experiments are scarce.

Based on the present assessment of studied topics, domains, methods and combinations thereof, the authors suggest that research should move toward building atop of a common ground of data structures and vocabulary, and that attention should focus on the identified gaps and hitherto scarcely used combinations. The set of under-represented areas includes cross-cultural investigations, field experiments and audit studies, the consideration of dynamic processes (e.g. based on panel data), Airbnb’s “experiences” and automated pricing algorithms and the rating distribution’s skewness.

This study provides a comprehensive overview of work on the accommodation sharing platform Airbnb, to the best of the auhtors’ knowledge, representing the first systematic literature review. The authors hope that researchers and practitioners alike will find this review useful as a reference for future research on Airbnb and as a guide for the development of innovative applications based on the platform’s peculiarities and paradigms in electronic commerce practice. From a practical perspective, the general tenor suggests that hotel and tourism operators may benefit from: focusing on their core advantages over Airbnb and differentiating features and aligning their marketing communication with their users’ aspirations.