scholarly journals Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda

Author(s):  
Livio Cricelli ◽  
Michele Grimaldi ◽  
Silvia Vermicelli

AbstractIn recent years, Open Innovation (OI) and crowdsourcing have been very popular topics in the innovation management literature, attracting significant interest and attention, and inspiring a rich production of publications. Although these two topics share common themes and address similar managerial challenges, to the best of our knowledge, there is no systematic literature review that digs deep into the intersection of both fields. To fill in this gap a joint review of crowdsourcing and OI topics is both timely and of interest. Therefore, the main objective of this study is to carry out a comprehensive, systematic, and objective review of academic research to help shed light on the relationship between OI and crowdsourcing. For this purpose, we reviewed the literature published on these two topics between 2008 and 2019, applying two bibliometric techniques, co-citation and co-word analysis. We obtained the following results: (i) we provide a qualitative analysis of the emerging and trending themes, (ii) we discuss a characterization of the intersection between OI and crowdsourcing, identifying four dimensions (strategic, managerial, behavioral, and technological), (iii) we present a schematic reconceptualization of the thematic clusters, proposing an integrated view. We conclude by suggesting promising opportunities for future research.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Trabucchi ◽  
Paola Bellis ◽  
Diletta Di Marco ◽  
Tommaso Buganza ◽  
Roberto Verganti

PurposeIn a world where innovation became a “buzzword” and everyone within companies is required to foster innovation, the engagement of people toward innovation is fundamental to prompt individual motivation and actions to make innovation happen. However, despite the relevance of the relationship between engagement and innovation, the literature on the topic appears still fragmented. The purpose of this study is to provide an overview of the topic through a systematic literature review.Design/methodology/approachA final sample of 108 papers has been selected and analyzed through co-citation and text mining analyses. The former enabled the analysis of the structure of the theoretical foundation of the filed, while the latter facilitated a systematic and unbiased content-driven review of the literature.FindingsThe results of the analysis indicated two main areas of interest describing the relationship between engagement and innovation. On the one hand, there is the focus on “engagement as an attitude,” intended as the capacity of individuals to generate and realize innovation. On the other hand, there is a stream of literature focused on “engagement as involvement,” which refers to co-innovation paradigms, involving both internal and external stakeholders.Research limitations/implicationsFrom an academic perspective, this paper highlights the relevance of the “human-side” of innovation, proposing avenues for future research that dig into the relationship between people's engagement and innovation dynamics. Moreover, it shows how the recent developments in the innovation management literature are coherent with this emerging relevance of the human perspective in innovation.Practical implicationsFrom a practitioner’s perspective, this paper helps managers by highlighting the two different approaches that they can have in terms of engagement. The study aims to help them in identifying the kind of engagement they are looking for in their employees and other innovation stakeholder having the support to find relevant studies in that direction.Originality/valueThe study unveils how the evolution of both areas over the years is strictly related to the megatrends of innovation fields, which are the main areas of knowledge not covered yet. Therefore, a research agenda is proposed.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4710
Author(s):  
Mariusz Kostrzewski ◽  
Rafał Melnik

Condition monitoring of rail transport systems has become a phenomenon of global interest over the past half a century. The approaches to condition monitoring of various rail transport systems—especially in the context of rail vehicle subsystem and track subsystem monitoring—have been evolving, and have become equally significant and challenging. The evolution of the approaches applied to rail systems’ condition monitoring has followed manual maintenance, through methods connected to the application of sensors, up to the currently discussed methods and techniques focused on the mutual use of automation, data processing, and exchange. The aim of this paper is to provide an essential overview of the academic research on the condition monitoring of rail transport systems. This paper reviews existing literature in order to present an up-to-date, content-based analysis based on a coupled methodology consisting of bibliometric performance analysis and systematic literature review. This combination of literature review approaches allows the authors to focus on the identification of the most influential contributors to the advances in research in the analyzed area of interest, and the most influential and prominent researchers, journals, and papers. These findings have led the authors to specify research trends related to the analyzed area, and additionally identify future research agendas in the investigation from engineering perspectives.


SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110164
Author(s):  
Lian Tang ◽  
Siti Zobidah Omar ◽  
Jusang Bolong ◽  
Julia Wirza Mohd Zawawi

The widespread use of social media has promoted extensive academic research on this channel. The present study conducts a systematic analysis of extant research on social media use among young people in China. This systematic literature review aims to identify and bridge gaps in topics, theories, variables, and conceptual frameworks in studies of social media usage among young people in China. The study aims to develop a cause–effect framework that shows the causal relationships among research structures. The PRISMA method is used to review 20 articles drawn from the Scopus and Google Scholar databases. From the analysis, 10 major research topics, eight theories or models, and a complete framework of causal relations emerge. It is recommended that future research on social media should include a greater diversity of types of social media, investigate a wider range of research topics, and adopt different theories or models. Researchers should also implement a more complete and detailed systematic method for reviewing literature on social media research in China.


Author(s):  
Florentine U. Salmony ◽  
Dominik K. Kanbach

AbstractThe personality traits that define entrepreneurs have been of significant interest to academic research for several decades. However, previous studies have used vastly different definitions of the term “entrepreneur”, meaning their subjects have ranged from rural farmers to tech-industry start-up founders. Consequently, most research has investigated disparate sub-types of entrepreneurs, which may not allow for inferences to be made regarding the general entrepreneurial population. Despite this, studies have frequently extrapolated results from narrow sub-types to entrepreneurs in general. This variation in entrepreneur samples reduces the comparability of empirical studies and calls into question the reviews that pool results without systematic differentiation between sub-types. The present study offers a novel account by differentiating between the definitions of “entrepreneur” used in studies on entrepreneurs’ personality traits. We conduct a systematic literature review across 95 studies from 1985 to 2020. We uncover three main themes across the previous studies. First, previous research applied a wide range of definitions of the term “entrepreneur”. Second, we identify several inconsistent findings across studies, which may at least partially be due to the use of heterogeneous entrepreneur samples. Third, the few studies that distinguished between various types of entrepreneurs revealed differences between them. Our systematic differentiation between entrepreneur sub-types and our research integration offer a novel perspective that has, to date, been widely neglected in academic research. Future research should use clearly defined entrepreneurial samples and conduct more systematic investigations into the differences between entrepreneur sub-types.


2020 ◽  
Vol 28 (2) ◽  
pp. 160-201
Author(s):  
Payam Hanafizadeh ◽  
Ahad Zareravasan

During the recent decades, some academic research on the subject of information technology outsourcing (ITO) decision has appeared in different outlets, which may impede the use of such resources and as a result, repetition of research by various researchers is very likely. The purpose of this paper is then to conduct a systematic literature review (SLR) pertaining to research on ITO decision. Then, this review intends to 1) classify ITO decision literature, 2) provide a list of factors affecting ITO decision, and 3) identify ITO strategies. To this end, 91 ITO articles published between 2000 and 2018 in 51 unique journals were reviewed. The results yielded three kinds of descriptive, relational, and comparative ITO decision studies. The determinants of ITO decisions are classified into technological, organizational, environmental and user adoption factors. Furthermore, the trend of studied ITO strategies in the reviewed literature is analyzed, and future sourcing varietals are proposed. Finally, some insights and future research directions are proposed based on the review results.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gianluca Solazzo ◽  
Gianluca Elia ◽  
Giuseppina Passiante

Purpose This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources. Design/methodology/approach The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques. Findings The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective. Research limitations/implications The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field. Practical implications Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories. Originality/value The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.


Author(s):  
Christian Lechner ◽  
Birthe Soppe ◽  
Karolina Heggli

Although interfirm collaborations between entrepreneurial firms and established partners have become ubiquitous in organizational and business life, academic research on collaborations between start-ups and large industry leaders has only received limited attention. Such collaborations are also known as “asymmetric” or “unbalanced” relationships. The purpose of this chapter is to provide a systematic literature review of the current state of research on collaborations between entrepreneurial and large firms. In particular, the chapter identifies several benefits and risks involved for entrepreneurial firms and uses the findings of the literature review as a springboard to provide a roadmap for future research on this timely topic.


2020 ◽  
Vol 13 (11) ◽  
pp. 252
Author(s):  
Klaudia Bracio ◽  
Marek Szarucki

The main purpose of this article is to explore the application of mixed methods research in the innovation management sub-discipline utilizing a systematic literature review and meta-summary analysis. Regardless of the growing number of studies in innovation management there is still a lack of research that integrates and synthesizes this body of knowledge. Our review of 93 articles from Web of Science and Scopus databases, including content analysis, presents trends and research background in innovation management that use the mixed methods approach. This study addresses the inconsistencies in the literature and presents a holistic picture of what existing empirical studies have found to date. In addition, we have developed an innovation management model based on selected theoretical lenses to enable future researchers in a given area to choose the appropriate method. The results of the meta-summary show that 50.54% articles from our dataset are related to partially mixed dominant sequential methods, 12.90% fully mixed dominant sequential methods and 11.83% fully mixed dominant concurrent methods. We identified several research gaps and provided a future research avenue in the context of innovation management. The article analyzes empirical papers, enables identification of problems in the current research and identifies trends in the area of the studied phenomenon. The results on the topic of mixed methods in innovation management and used tools have indicated that this issue is still in a premature phase but with an upward trend of research development.


2020 ◽  
Vol 12 (4) ◽  
pp. 413-435 ◽  
Author(s):  
Mrinalini Srivastava ◽  
Gagan Deep Sharma ◽  
Achal Kumar Srivastava ◽  
S. Senthil Kumaran

Purpose Neuroeconomics and neurofinance are emerging as intriguing fields of research, despite sharing ambiguity with the concepts of neuroscience. The relationship among the concepts of economics, finance and neuroscience is not explicitly defined in the past literature, which distorts the use of neuroeconomics and neurofinance approaches in real-world practice for financial decision-making. The purpose of this paper is to consolidate the literature in the field of neuroeconomics and neurofinance to set up the research agenda for the upcoming scholarship in the field. Design/methodology/approach The purpose of this paper is to consolidates the extant literature in the fields of neuroeconomics and neurofinance by conducting an extensive systematic literature review to investigate the current state and define the relationship between economics, finance and neuroscience. Findings This paper identifies and explains the explicit relationship between different sub-fields of neuroscience with neuroeconomics and neurofinance and providing instances for future research studies. Originality/value The exclusive and extensive literature survey in the form of systematic literature review is undertaken for understanding the fields of neuroeconomics and neurofinance and is the key highlight of this paper. Another, interesting fact lies with matching the literature in neuroeconomics and neurofinance with further sub-fields of neuroscience such as neurophysiology, neuroanatomy, molecular neuroscience and cognitive neuroscience.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Diana-Lucía Gómez-Molina ◽  
José Moyano-Fuentes

Purpose Implementing lean management (LM) provides universities with a variety of benefits and utilities. The purpose of this study is to systematically analyze the existing literature on the implementation of LM in universities. Design/methodology/approach A systematic literature review is undertaken to identify, select and evaluate the literature. A total of 68 articles were identified in Web of Science and Scopus, analyzed and synthesized from the first article published on the topic (2003) to mid-2020. Findings Literature analysis and evaluation have enabled us to offer a novel literature classification based around four research lines that summarize the empirical evidence on LM implementation in universities, namely, lean applied to academic management processes; lean applied to administrative management processes; factors that facilitate lean implementation and results obtained with lean. Finally, the gaps and challenges for future research into LM in universities are presented. Originality/value This study provides a characterization of the research carried out into LM implementation in universities, which facilitates the work of both scholars wishing either to begin or to dig deeper into this sphere and university professionals and managers pursuing the best outcomes from LM.


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