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This study investigates how role overload in the sharing economy leads to emotional exhaustion, which restricts value co-creation activity, and also investigates the moderating effect of perceived platform support.

Two experimental investigations and field research questionnaires were given to respondents with shared mobility industry expertise.

First, role overload detrimentally affects service providers' value co-creation behavior; second, emotional exhaustion acts as a mediator between role overload and value co-creation behavior; and finally, perceived platform support moderates the adverse effect of role overload on emotional exhaustion.

To the best of the authors' knowledge, this study is the first to explore the antecedents of value co-creation behavior from the service provider's perspective, extending the application of COR theory in a sharing economy context.

First, alternative mediators between role overload and emotional exhaustion were not identified. Second, other dimensions of role overload and their impacts were not examined. Lastly, this study did not explore broader perspectives beyond algorithms.

This study recommends that managers reduce role overload ex ante in terms of clarifying responsibilities and obligations, providing substantive resource support and rationalizing order allocation, respectively.

Although microblogs have become an important information source, the credibility of their postings is still a critical concern due to the open and unregulated nature. To understand the antecedents of microblog information credibility, the purpose of this paper is to investigate the dual-role of cognitive heuristics (i.e. the additivity and bias roles) and the effect of gender differences.

This study collected data via an online field survey of active microblog users, and a total of 204 valid responses was received.

This study demonstrates the dual-role of source credibility and vividness, the additivity role of microblog platform credibility, and the bias role of social endorsement. Furthermore, this study also found out gender difference that the additivity role of cognitive heuristics was stronger for men while bias role was stronger for women.

This research enriches the microblog literature by examining the cognitive heuristic determinants as key predictors of microblog information credibility, and contributes to the information credibility literature by identifying and analyzing the dual-role effect of cognitive heuristics and corresponding gender differences.

This study can help organizations better manage their reputation, especially during the reputation crises, and also serves as a reminder to microblog platform operators of the importance of their microblog platform credibility.

This study can help organizations better manage their reputation, especially during the reputation crises, and serves as a reminder to the microblog platform operators of the importance of their microblog platform credibility.

This study investigates the dual-role effect of cognitive heuristics (i.e. the additivity role and bias role) and corresponding gender differences that are less touched on before, and thus provides a more nuanced understanding of the more complex effects of cognitive heuristics.

This article aims to understand the role of intermediaries that manage innovation challenges in the healthcare scenario. More specifically, it explores the role of digital platforms in addressing data challenges and fostering data-driven innovation in the health sector.

For exploring the role of platforms, the authors propose a theoretical model based on the platform’s dynamic capabilities, assuming that, because of their set of capabilities, platforms may trigger innovation practices in actor interactions. To corroborate the theoretical framework, the authors present a detailed in-depth case study analysis of Apheris, an innovative data-driven digital platform operating in the healthcare scenario.

The paper finds that the innovative data-driven digital platform can be used to revolutionize established practices in the health sector (a) accelerating research and innovation; (b) overcoming challenges related to healthcare data. The case study demonstrates how data and intellectual property sharing can be privacy-compliant and enable new capabilities.

The paper attempts to fill the gap between the use of the data-driven digital platform and the critical innovation practices in the healthcare industry.

The study explores the role of dialogic public communication and information quality (IQ) in evaluating the operational performance of donation-based crowdfunding (DBC) tasks. These tasks are primarily used to support disaster relief operations. The authors also test the influence of cognitive trust and swift trust as moderating variables in explaining the relationship between both IQ and dialogic communication with operational performance.

The authors used a primary survey to test the hypotheses. A total of 203 responses were collected from multiple crowdfunding platforms. The authors used archival data from task creators on donation-based crowdfunding platforms, and a structured questionnaire is also used to collect responses. Data are analyzed using Warp PLS 6.0. Warp PLS 6.0 works on the principle of partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

The authors found out that the operational performance is explained significantly by the quality of information and its association with dialogic public communication. The results support the arguments offered by dialogic public communication theory and trust transfer theory in assessing the operational success of DBC. The study also confirms that cognitive trust positively moderates the relationship between IQ and organizational public dialogic communication and operational performance. It is also revealed that the duration of the DBC task has no significant control over dialogic public communication.

The study lays practical foundations for task creators on DBC platforms and website designers as it sets the importance of both IQ and dialogic communication channels. The communication made by the task creator and/or the DBC platforms with the donors and potential donors in the form of timely and appropriate information forms the key to the success of any DBC task. The study also helps task creators choose a suitable platform to improve performance.

The authors propose a unique framework by integrating two theoretical perspectives: dialogic public relation theory and trust transfer theory in understanding the operational performance of donation-based crowdfunding tasks. The authors address DBC tasks catering to disaster relief operations by collecting responses from task creators on DBC platforms. The study uniquely positions itself in the area of information and communication.

Guided by memory-dominant logic, this study aims to examine how Airbnb experiences (i.e. home benefits, social interaction and authenticity) lead to memorability, which subsequently results in platform attachment and loyalty. The mediating role of memorability and the moderating role of arousal in forming platform loyalty were also investigated.

A quantitative method was adopted including the use of a national survey with US travelers who had an Airbnb accommodation experience in the past six months. Data were collected from a representative sample generated from the Qualtrics consumer panel using an online self-administered survey.

Results suggested that Airbnb experiences have a positive impact on memorability, which leads to platform attachment and loyalty. The findings further supported the full mediation. The results also revealed a moderating role of arousal in influencing the relationship between social interaction and memorability.

This study contributes to the literature by investigating the role of Airbnb experiences and memorability in influencing customer responses to the Airbnb platform. This study also provides a holistic understanding of how platform attachment and loyalty develop through the mechanism of memorability.

Given the continuous competition from hotels, Airbnb providers should continue to improve critical Airbnb attributes and balance its hedonic and functional values. The moderating role of arousal suggests that Airbnb could maintain a virtual community or a social platform where guests can interact with hosts or the locals before, during and after Airbnb experiences.

The findings provide a holistic understanding of the experiences with insight into the new business model of the sharing economy.

This study aims to investigate the impact of digital platforms, frugal innovation and innovation culture (IC) on innovation performance (IP). The mediation role of IC between digital platforms and IP, as well as moderating role of frugal innovation between IC and IP is also tested.

Data is collected from 387 top management officials from the small and medium enterprises (SMEs) working in emerging economies, in the current study Pakistan. Quantitative research design was applied for the collection of data and analysis. Various statistical techniques, i.e. correlation and regression, were used.

The findings revealed that digital platforms positively affect IC and IP. The results proved that IC mediates the association between digital platforms and IP link.

The SMEs of emerging economies are working in a dynamic scenario, and their performance in term of innovation is critically needed. Only those businesses that update their products and services according to customers’ demand can achieve success. Hence, SMEs of emerging economies need IP to flourish their businesses. This study highlights an overlooked link of digital platforms with IP and also shows the mediating role of IC.

The purpose of this paper is to investigate the mechanism how the platform obtains and uses undisclosed information to determine individual borrowers’ credit score and to examine the effectiveness of credit scoring in predicting default. The motivation stems from the fact that there is little evidence about the role of P2P platform, which has been positioned as a kind of information intermediary.

Using a sample of 5,176 unsecured P2P loans having expired before December 31, 2015 on Renrendai.com and an approach of two-stage regression, the paper first estimates the undisclosed information embedded in credit score by regressing credit score on four types of public information about a borrower’s creditworthiness. Then, the authors use a Logit regression to examine the role of the excess information in predicting the default probability.

The certification information provided by the platform is the most important determinant for a borrower’s credit score and the undisclosed information embedded in credit score can predict the loan performance better than the public information of posted listings. Moreover, the predictive ability of the undisclosed information is better for high-risk borrowers than for low-risk ones.

Providing a credit score for each individual is a way for P2P platforms to play an information intermediary role. More evidence about whether or how a platform plays its role are worthy to be exploited by investigating a platform’s operating policies in detail and doing cross-platform comparative studies.

The results about the effect of various types of information on loan performance can provide an insightful guidance for P2P platforms to optimize their mechanism on information disclosure and credit scoring.

The existing literature mainly focuses on the effects of information voluntarily disclosed by borrowers and the behaviors of investors on P2P lending outcomes. The paper highlights the information intermediary role played by the platform and presents empirical evidence that credit scoring for individual borrowers is a way for P2P platforms to promote the direct lending for individual.

This chapter explains how cocreation can be supported by establishing platforms, which provide knowledge, resources, and opportunities for local actors to come together in cocreation arenas. Platforms make it easy for local actors to connect, interact, and engage in productive joint activity. The chapter provides an overview of different types of platforms and describes their distinctive organizing logic, which includes mediating the relationship between different stakeholders, scaffolding their joint action, and leveraging their capacity for change. The chapter identifies important platform dynamics, such as attractor and amplifier effects, synergy, scaling, and social learning, that enable them to successfully support cocreation. Finally, the chapter discusses how platforms themselves can be designed to enhance these dynamics.

The purpose of this paper is to explore the role of trust in the unobservable decision-making process of lead investors and follow-on investors in the specific context of equity crowdfunding (ECF) campaigns.

This work employs a case study approach. The author conducts a three-year inductive field study of Chinese ECF – AngelCrunch. The author gathered both campaign and platform-level data from the selected case covering a period of seven years from 2011 to 2018. The data set used for this study includes the characteristics of 189 online campaigns, 25 face-to-face interviews with the platform managers, early-stage investors and entrepreneurs, first-hand observations and quarterly reports on online campaigns supplemented with informal interviews with the authors for the reports.

The findings from this study provide early insights onto the unobservable decision-making process of ECF investors. It demonstrates that lead investors use both selective signalling information and physical interactions with the entrepreneurs to build competence and relational trust on which they rely for making an early pledge. It also shows that follow-on investors differ from lead investors in the process of building trust for decision-making. Furthermore, this work uncovers the role of ECF platforms in facilitating the process of building interpersonal trust for the decision making, with challenges to maintain the notion of platforms in raising a small amount of capital from a large crowd.

This study is constrained by the limited scale of qualitative elements available. The findings of the study have implications for platform managers, investors and policy makers.

Building on entrepreneurial finance and trust theory, this work demonstrates how lead investors build competence and relational trust on which they rely to make an early pledge in the context of ECF. The perception of a lead investor and the commitment together with the selective and formative information by the entrepreneur/s are key in follow-on investors’ decision making. This study uncovers that crowdfunding enables additional and valuable information to be assessed by crowd investors to manage extreme risk and uncertainty occurred in early-stage investments. This work also demonstrates that virtual world has its limitations to build interpersonal trust for managing extreme risk.