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The purpose of this paper is to demonstrate how negatively worded innovative ideas can be rejected during a crowdsourcing event sponsored by a service firm via an online forum. The goal of an ideation forum is to collect user-generated content in the form of ideas for new products or services. An ideation forum attempts to clarify the “fuzziness” on the front-end of new product development.

A 2 × 2 (satisfied/dissatisfied customers and negatively/positively worded ideas) experiment replicates the effect of mood-incongruent interactions within ideation forums and measures the likelihood for an idea to be buried or selected on the basis of its merit rather than its negative/positive wording.

The results demonstrate that mood-incongruent interactions have different effects on different groups of participating customers. Negatively worded innovative ideas are rated lower by satisfied customers, despite their superior merit.

The nature of the experiment shows a high validity, but lacks in reliability. Thus, future research should attempt to replicate this experiment on a larger scale and across different industries.

In an open forum where thousands of customers can give a thumbs’ up or down to an idea, merit should prevail over mood-congruency. If the crowdsourcing mechanism cannot be trusted, it puts the burden back on the firm’s review team to promote or review any downgraded innovative idea, which ends up being counterproductive.

These findings shed light on the hidden aspect of crowdsourcing when the aim is to find unique, if not radical, ideas for services. Thus, hoteliers and other hospitality and tourism managers should use these findings to design better ideation forums.

The purpose of this paper is to analyse the structures of the relationships between actors in the creative industries sector using crowd-funding, and how co-creation is the basis for reaching balanced centricity in the creative industries.

The Many-to-Many Marketing Theory, Service-Dominant Logic and Service Logic are the theoretical bases for explaining how the changing roles of the actors in the creative industries sector have given the crowd a great capacity for deciding in the value-creation process. A qualitative, case-based approach is used, given the complexity of the phenomenon to be analysed.

The findings of the empirical approach have important theoretical and practical implications. On the theoretical side, it analyses the importance of balanced centricity instead of customer centricity as the basis for system stability. Findings also have implications for service managers, as this can be considered an alternative for certain business projects, especially in the creative industries sector, where a growing demand is identified, not only as a method of financing, but also as a strategy for strengthening the bond with customers.

The study has implications for practitioners and scholars. With respect to managers, the “balanced centricity in cultural crowd-funding” model constitutes a significant contribution, because it replaces the prominent position which until now has been enjoyed by the consumer, with the overall balance of the system, in other words, with aiming to benefit all agents. This translates into a change in how strategies are understood and applied in organisations, as in every decision organisations will have to keep in mind the implications that their decisions and actions have on the rest of the agents, with the objective of managing to exploit their “strategic potential”. Strategic planning actions are identified.

This paper is the first to analyse balanced centricity as the basis for system stability in the creative industries. The new tasks of the customer as a selector and financer of projects increase the roles assigned to the co-creation concept and improve the knowledge of Network Theory for the creative industries.

This paper presents results from a participatory action research study with 46 LGBTQIA+ community leaders and 60 library workers who participated in four community forums at public libraries across the US. The forums identified barriers to LGBTQIA+ communities addressing their health questions and concerns and explored strategies for public libraries to tackle them.

Forums followed the World Café format to facilitate collaborative knowledge development and promote participant-led change. Data sources included collaborative notes taken by participants and observational researcher notes. Data analysis consisted of emic/etic qualitative coding.

Results revealed that barriers experienced by LGBTQIA+ communities are structurally and socially entrenched and require systematic changes. Public libraries must expand their strategies beyond collection development and one-off programming to meet these requirements. Suggested strategies include outreach and community engagement and mutual aid initiatives characterized by explicit advocacy for LGBTQIA+ communities and community organizing approaches.

Limitations include the sample's lack of racial diversity and the gap in the data collection period between forums due to COVID-19. Public libraries can readily adopt strategies overviewed in this paper for LGBTQIA+ health promotion.

This research used a unique methodology within the Library and Information Science (LIS) field to engage LGBTQIA+ community leaders and library workers in conversations about how public libraries can contribute to LGBTQIA+ health promotion. Prior research has often captured these perspectives separately. Uniting the groups facilitated understanding of each other's strengths and challenges, identifying strategies more relevant than asking either group alone.

Innovation is a process that enables organizations to sustain and prosper in a competitive business environment. This study aims to understand the key drivers of innovation within organizations from the lens of employees.

This study uses a grounded theory approach based on semi-structured in-depth interviews of 20 professionals working in information technology (IT) firms. Judgmental sampling was adopted to select the respondents. Open coding, inductive analysis was conducted on the interview transcripts to generate relevant themes.

Emerging themes indicate that innovation within organizations can be triggered as a response to client requirements or the employees’ inherent urge to innovate. Certain factors such as user engagement, formal organizational processes and practices, informal collaborative practices, the role played by experts and leaders and upskilling were seen to enable innovative outcomes within organizations.

Findings from this study will allow leaders to activate the identified drivers by designing suitable organizational processes and strategies to nurture a successful innovation culture within their teams.

This grounded theory-based study looks at drivers of innovation within IT organizations from the perspective of employees.

In the past six months Jerry has been practicing a form of meditation called Centering Prayer. His original decision to attend a workshop on meditation was to deal with his increased sense of work overload, stress and burnout associated with the demands of his position as CEO of Healthcare. However, he learned that meditation can also be prayer, and he has found his practice very helpful. Although during Centering Prayer he is often aware of the distractions of his busy “business mind,” nonetheless he has noticed that during the day he is able to focus more effectively at work, is less irritable, and more willing to listen to others as a result of incorporating contemplative practice as part of each day. Even his wife and children have remarked he “seems more mellow these days.”

The importance of co-innovation platforms has been well established, but a valid and reliable instrument to measure the affordances of these platforms for co-innovation behavior has not yet been reported in the literature. A robust, validated instrument to measure co-innovation platform affordances (PAs) will facilitate the conduct of studies across different platforms and contribute to enhanced understanding of co-innovation behaviors, outcomes, and platform design. The purpose of this paper is to conceptualize co-innovation PAs, develop a reliable measurement instrument capturing critical facets of co-innovation, namely ideation, collaboration, and communication, and validate the instrument.

The construct of PAs was conceptualized based on the findings from two case studies of co-innovation networks and the key characteristics of social mediating technology affordances. The measurement items newly developed via a case study underwent a two-round exploratory analysis to ensure face validity and content validity. The resulting instrument was subjected to a pilot study and a field study to establish the necessary reliability and validity.

The findings of the study reveal that co-innovation PAs have three distinctive components, namely ideation, collaboration, and communication. Furthermore, the results of the study suggest that PAs are most appropriately operationalized as a second-order construct comprising all three components. The empirical results from the field study show a high degree of confidence in both translation validity and criterion-related validity.

Drawing from co-innovation and affordances literature, this study develops and validates a general instrument to measure co-innovation PAs. The result is a reliable and parsimonious instrument with 12 items. The authors believe that the instrument can contribute significantly to future empirical investigations of co-innovation behavior on virtual platforms.

The study aims to use netnography to investigate the role of customers' contributions in social networks for NSD purposes.

The study adopted an exploratory case study methodology to conduct a content analysis of customers' contributions in a social network, namely www.mystarbucksidea.com. Netnography was used for data analysis and interpretation.

The findings reveal that online customers' interactions and dialogues enable customers to share and understand the context of using services, which in turn triggers emotions and cognition that help customers to generate and further enhance ideas for new services. Thus, the variety of customers and the sharing of their diverse roles have a positive influence on enabling participants of online social networks to generate new service ideas.

The findings are applicable to the study's context, but future research should try to triangulate and enhance them by conducting studies in other contexts. The findings also provide ideas on how to further investigate the observational learning processes and behavioural impacts taking place amongst customers' interactions within online social networks.

The findings provide several implications showing firms why and how to nurture, develop and moderate online customer interactions to enhance the effectiveness of their NSD processes.

The paper examines the role and the management of customers' contributions in social networks for NSD purposes. The topic has received only limited attention in traditional and online settings. Several suggestions for further research are also provided.

The aim of this paper is to empirically test the degree of influence of different knowledge sharing mechanisms (ICT‐based, personal interaction‐based, and embedded in management processes) on innovation capability (both on ideation and on innovation project management), as well as the influence of each first‐level innovation capacity on company performance.

A questionnaire was designed and addressed to the CEOs of the companies making up the target population (Spanish and Colombian medium‐high and high technology firms with more than 50 employees and R&D activities). Structural equation modelling (SEM) based on partial least squares (PLS) was then applied to test the hypotheses drawn from the research.

The results obtained show that knowledge sharing is a key issue in order to enhance innovation capability. With the exception of ICT‐based knowledge sharing mechanisms (whose influence on the generation of new ideas is not statistically significant), all types of mechanism considered exert a significant impact both on ideation and on innovation project management (although their degree of relevance varies), and account for a great deal of variance in both constructs. Differences between countries arise when it comes to the influence of each first‐level innovation capacity on company performance.

Traditional limitations of cross‐sectional studies apply.

The main contribution of this paper is to provide empirical evidence about the impact of knowledge sharing on innovation. Moreover, it reveals what the most effective knowledge sharing mechanisms are for this purpose and provide companies with a basic framework in order to shape their knowledge management strategies in this domain.

Group Support Systems (GSS) have been used and studied in the support of facilitated ideation sessions for years. The norm for these sessions has been for participants to work individually at GSS workstations. A review of applicable literature suggests that pairing participants at GSS workstations could result in higher quality ideas and participant satisfaction. This paper reports the results of a lab experiment that tested for differences between paired and unpaired facilitated GSS sessions. These results suggest that pairing participants can yield higher quality ideas from facilitated ideation without negative consequences.

As convenience and anonymity, people with mental illness are increasingly willing to communicate and share information through social media platforms to receive emotional and spiritual support. The purpose of this paper is to identify the degree of depression based on people's behavioral patterns and discussion content on the Internet.

Based on the previous studies on depression, the severity of depression is divided into four categories: no significant depressive symptoms, mild MDD, moderate MDD and severe MDD, and defined each of them. Next, in order to automatically identify the severity, the authors proposed social media digital cues to identify the severity of depression, which include textual lexical features, depressive language features and social behavioral features. Finally, the authors evaluate a system that is developed based on social media digital cues in the experiment using social media data.

The social media digital cues including textual lexical features, depressive language features and social behavioral features (F1, F2 and F3) is the relatively best one to classify four different levels of depression.

This paper innovatively proposes a social media data-based framework (SMDF) to identify and predict different degrees of depression through social media digital cues and evaluates the accuracy of the detection through social media data, providing useful attempts for the identification and intervention of depression.