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With the proliferation of ideas submitted by users in firm-built online user innovation communities, community managers are faced with the problem of user idea overload. The purpose of this paper is to explore the influencing factors on the idea adoption to identify high quality ideas, and then propose a method to quickly filter high value ideas.

The authors collected more than 110,000 data submitted by Xiaomi community users and analyzed the factors affecting idea adoption using a multinomial logistic regression model. In addition, the authors also used BP neural network to predict the idea adoption process.

The empirical results show that idea semantics, number of likes, number of comments, number of related posts, the existence of pictures and self-presentation have positive impact on idea adoption, while idea length and idea timeliness had negative impact on idea adoption. In addition, this paper calculates the idea evaluation value through the idea adoption process predicted by neural network and the mean value of idea term frequency inverse document frequency (TF-IDF).

This empirical study expands the theoretical perspective of idea adoption research by using dual-process theory and enriches the research methods in the field of idea adoption research through the multinomial logistic regression method. Based on our findings, firms can quickly identify valuable ideas and effectively alleviate the information overload problem of online user innovation communities.

The purpose of this paper is to combine translation theory with aspects of socio‐technology and systems theory to study the adoption of shared services in a public‐sector organization. The paper aims to involve the process of translating the shared‐services idea in concert with people and policies, both in terms of inputs and outputs.

An interpretive case‐study strategy was applied.

The mutual impact of process, people, and policies shed light on what influences the adoption of the shared‐services idea. The translation process considers different people and policy aspects, transforming the idea into a specific configuration that reflects the organization's individual conditions.

The in‐depth case study enables better understanding of the adoption of shared services at an organizational level. The paper enriches previous research on the translation of management ideas. It is limited to the extent that it focuses on one particular case, which restricts the possibilities for a wider generalization.

The paper indicates a lack of national policies to embrace the shared‐services idea fully at the studied organization. The paper can aid governments in paving the way for the adoption of management ideas in public‐sector organizations.

The paper extends previous research on the adoption of management ideas and, especially, how the idea of shared services is adopted. It illustrates the translation process, how this process shapes personal and factual outcomes, and what this means for the adoption of the shared services idea at an organizational level.

Large, influential and profitable young adults are being targeted for fast fashion that negatively impacts the environment. The transition from a fast to an environmentally friendly slow fashion is a challenging process and culturally dependent. The process starts with slow fashion idea adoption. Thus, the authors modified an information acceptance model (IACM) to examine information characteristics (idea/information quality, credibility, usefulness, source credibility) and consumer factors (need for idea and attitudes) impacting intentions to adopt the slow fashion idea in Canada, South Africa (individualists) and China (collectivists).

Cross-sectional data were collected from South African (n = 197), Chinese (n = 304) and Canadian (n = 227) young adults (18–35 years old) at universities in metropolitan cities. Partial least squares structural equation modeling was used to analyze the data.

The results show that while most information characteristics and consumer factors are vital for slow fashion attitudes and intention formation, information quality and trust in the sources were a problem in individualistic cultures as opposed to the collectivist culture. This finding confirms the greater tendency of collectivists to trust disseminated information on environmental issues. In all cultures, attitudes impacted idea adoption intentions. On testing IACM, the multigroup analyses showed no significant differences between young adults in the individualistic cultures. Attitudes mediated most relationships and were highly explained by IACM (South Africa, 49.6%; China, 74.5%; and Canada, 64.5%).

In emerging and developed markets, this study informs environmentalists and green fashion brands of information characteristics that can create positive attitudes and slow fashion idea adoption intentions among influential young adults.

Online brand communities (OBCs) are important platforms to obtain consumers' ideas. The purpose of this study is to examine how peer influence and consumer contribution behavior simulate innovative behaviors in OBCs to increase idea quality.

Using a firm-hosted popular online brand community – Xiaomi Community (MIUI), the authors collected a set of data from 6567 consumers and then used structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to empirically test the impact of peer influence and consumer contribution behaviors on idea quality in OBCs.

The results of this study show that both peer influence breadth and depth have a positive effect on idea adoption and peer recognition, wherein proactive contribution behavior positively mediates these relationships, and responsive contribution behavior negatively mediates the impact of peer influence breadth and peer influence depth on peer recognition. A more detailed analysis using the fsQCA method further identifies four types of antecedent configurations for better idea quality.

Based on the attention-based view and the theory of learning by feedback, this study explores the factors that affect idea quality in the context of social networks and extends the research of peer influence in the digital age. The paper helps improve our understanding of how to promote customer idea quality in OBCs.

Open innovation communities are a growing trend across diverse industries because they provide opportunities of collaborating with customers and exploiting their knowledge effectively. Although open innovation communities can be strategic assets that can help firms innovate, firms nonetheless face the challenge of information overload incurred due to the characteristic of the community. The purpose of this paper is to mitigate the problem of information overload in an open innovation environment.

This study chose MyStarbucksIdea.com (MSI) as a target open innovation community in which customers share their ideas. The authors analyzed a large data set collected from MSI utilizing text mining techniques including TF-IDF and sentiment analysis, while considering both term and non-term features of the data set. Those features were used to develop classification models to calculate the adoption probability of each idea.

The results showed that term and non-term features play important roles in predicting the adoptability of ideas and the best classification accuracy was achieved by the hybrid classification models. In most cases, the precisions of classification models decreased as the number of recommendations increased, while the models’ recalls and F1s increased.

This research dealt with the problem of information overload in an open innovation context. A large amount of customer opinions from an innovation community were examined and a recommendation system to mitigate the problem was proposed. Using the proposed system, the firm can get recommendations for ideas that could be valuable for its business innovation in the idea generation phase, thereby resolving the information overload and enhancing the effectiveness of open innovation.

This paper aims to present the work and contributions of Karol Adamiecki in comparison with Frederick Winslow Taylor and discusses the various contexts in which both scholars conducted their research. The purpose of this study is bring to light some of the main accomplishments of Adamiecki and contribute to the discussion of reasons why the work of some scholars draws wide acclaim, while similar work of others remains unnoticed.

The background for the discussion is the work and ideas of Karol Adamiecki, a Polish engineer and manager, whose methods and findings were similar to those of Frederick Taylor and are contemporary, and, in some cases, precede those of the Father of Scientific Management. The methodology used in this study is a review of the original work of Adamiecki and Taylor to find the true meaning and purpose behind their writings, as well as a review of relevant literature regarding the context of the realities in which both scholars constructed their research.

The concepts and inventions of Karol Adamiecki are, in many aspects, similar to those of Frederick Taylor and his followers. Several factors are identified and discussed which may have influenced the varied level of recognition of conceptually similar ideas evolved in different parts of the world. These factors are, among others, the socio-political reality of Eastern Europe and Poland under the influence of Russia and the Soviets as compared to that of the USA and the Western World and the support of various interest groups and government institutions, as well as the impact of the academic circles.

In today’s world of globalization reaching all aspects of life, it is necessary to recognize and acknowledge the developments emerging in different settings, regions and cultures. Furthermore, the social and political realities in which research is constructed may impact the future acceptance, dissemination and popularity of the findings and authors.

Although some research exists outlining the work of Adamiecki, this study contributes to the body of historical management knowledge by focusing on the main accomplishments of Adamiecki based on his original writings and placing his accomplishments in a historical context in comparison to Taylor, thus analyzing the reasons for the lack of wider acclaim for Adamiecki’s contribution to scientific management.

The paper introduces a new conceptualisation of entrepreneurship that promotes a broader perspective of the phenomenon. The purpose of the paper is to re-conceptualise the act of entrepreneurship so as to reduce it to the fundamental behaviours and processes.

The paper sets out the motivations for and challenges in establishing a broader definition of entrepreneurship. Following this, current approaches to defining entrepreneurship are reviewed. In light of these, a definition of entrepreneurship is offered that captures a new perspective in understanding entrepreneurship. A critique of the offered definition is offered with regards to promoting theory development, empirical research, quality predictions and a distinctive research domain.

The authors argue that a definition of entrepreneurship that is focussed on the development and validation of ideas provides a thought-provoking re-conceptualisation of entrepreneurship. Extant perspectives on entrepreneurship as business/organisation creation, uncertainty, innovation, value creation and opportunity recognition/creation are drawn on to demonstrate the applicability of the definition.

The pursuit for an encompassing definition of entrepreneurship has been both extensive and earnest, which has inadvertently resulted in a sizable pool of definitions. The authors offer a re-conceptualisation of entrepreneurship with the intent to provide a broad yet coherent definition that encompasses all acts of entrepreneurship. A benefit of this conceptualisation is the establishment of the endpoint of the entrepreneurship process that delineates it from the domain of management.

The purpose of this paper is to describe and explain the case of a major knowledge transfer project conducted over seven years within a region of the UK.

As part of this project a large survey is conducted on an annual basis which aims to track eBusiness adoption amongst small and medium‐sized enterprises (SMEs) in the region and the effects of such adoption upon regional development.

The paper presents findings from this longitudinal study and discusses these findings in terms of conceptions of eBusiness and the importance of developing more sophisticated instruments for assessing eBusiness maturity amongst SMEs. From the research there is clear evidence of the role of eBusiness adoption as a driver of regional development. The benefits from the initial Opportunity Wales programme are still materializing several years after the completion of the first three years of the seven year project.

This is a study of one region in Europe. Further regional cases are required to support the findings.

The findings should help regional planners and national governments assess the value of eBusiness initiatives.

This paper describes the case of a programme funded by the European Union involved with the transfer of eBusiness knowledge to SMEs conducted over the period April 2001 to September 2007 within a major region of the UK. The scope of the research project and its longitudinal nature make the study original.

Analyses five major innovations in the flour milling industry and the variations in attitudes and adoption practices in group mills and individual plants. Advocates that it is important for research purposes that an industry is chosen in which technical innovation was high, and also where the total number of units in the country could be approached with regard to the very limited budget available for the research. The industry chosen was the flour milling industry. Discusses the choice of innovations and methodology. Sums up that much work still needs to be done with regard to sources of information and on the role of opinion leaders.

Processes of novelty generation and adoption have received much more attention than novelty evaluation. This paper explores the internal processes enacted by organizations to recognize and assess novel ideas for further implementation by focusing on the role that artifacts play in identifying the creative potential of an idea versus another one. Our empirical study focuses on the evaluation of novelty in the form of new experiences and builds on the analysis of two highly creative organizations, elBulli restaurant, led by chef Ferran Adrià, and the Italian Drama Academy Nico Pepe. We find that organizations implement three distinct processes to evaluate the novelty of ideas: analyzing, structuring, and formalizing. In these processes, artifacts play a key role in making novel ideas tangible by anticipating audiences’ reactions, integrating the novelty generated into an organizational corpus of knowledge, and consolidating novel ideas for future applications. Our results show that these processes take place iteratively in all phases of the idea’s journey, increasingly leading to the collective identification and assessment of novelty.