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Article
Publication date: 19 April 2022

Negar Jalilian and Seyed Mahmood Zanjirchi

Development of each domain of knowledge depends on aggregation of knowledge and documentation of available research. This paper aims to review the articles in the field of…

Abstract

Purpose

Development of each domain of knowledge depends on aggregation of knowledge and documentation of available research. This paper aims to review the articles in the field of innovation ecosystem (IE), do a bibliographic analysis of the information available about each document, explain the process of developing the concept of IE in research during the past years and introduce the forerunner countries, major, top journals, main scientific documents and authors contributing so far to the development of the concept of IE.

Design/methodology/approach

In this study, 1,233 papers published between 1990 and 2021 April were collected and analyzed by applying life-cycle analysis, bibliometrics and content analysis to provide a full thematic overview of the IE filed.

Findings

Results showed that initial concepts of IE emerged in 1990 and entered its life-cycle growth period in 2006 due to being accepted by researchers. This growth will continue until 2035. Moreover, top 20 countries (i.e. the most influential and productive countries), most frequently cited journals, top publishing authors and the most important topics as considered by researchers are also identified by employing bibliometrics and content analysis. According coincidence of key words, the most important topics in IE field categorized into four groups.

Originality/value

Unlike other works recruiting content analysis solely to identify theoretical areas within this concept, the present study used content analysis in the field of scientific research methodology, and then the most popular tools to develop the concept of IE were identified.

Details

International Journal of Innovation Science, vol. 15 no. 2
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 13 November 2023

Meifang Li and Yujing Liu

With the deep development of the new technological revolution and industrial transformation, the development, application, expansion and integration of digital technology provide…

Abstract

Purpose

With the deep development of the new technological revolution and industrial transformation, the development, application, expansion and integration of digital technology provide opportunities for transforming the manufacturing industry from traditional manufacturing to intelligent manufacturing. However, little research currently focuses on analyzing the influencing factors of intelligent development in this field. There is a lack of research from the perspective of the digital innovation ecosystem to explore the intrinsic mechanism that drives intelligent development. Therefore, this article starts with high-end equipment manufacturing enterprises as the research subject to explore how their digital innovation ecosystem promotes the effectiveness of enterprise intelligent development, providing theoretical support and policy guidance for enterprises to achieve intelligent development at the current stage.

Design/methodology/approach

This article constructs a logical framework for the digital innovation ecosystem using a “three-layer core-periphery” structure, collects data using crawling for subsequent indicator measurement and assessment and uses the fuzzy set Qualitative Comparative Analysis method (fsQCA) to explore how the various components of the digital innovation ecosystem in high-end equipment manufacturing enterprises work together to promote the development of enterprise intelligently.

Findings

This article finds that the various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises, through mutual coordination, can help improve the level of enterprise intelligence. Empirical analysis shows four specific configuration implementation paths for the digital innovation ecosystem of high-end equipment manufacturing enterprises to promote intelligent development. The core conditions and their combinations that affect the intelligent development of enterprises differ in each configuration path.

Originality/value

Firstly, this article discusses the practical problems of intelligent transformation and development in the manufacturing industry and focuses on the intelligent development effectiveness of various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises in the context of digitalization. Secondly, this article uses crawling, text sentiment analysis and other methods to creatively collect relevant data to overcome the research dilemma of being limited to theoretical analysis due to the difficulty in obtaining data in this field. At the same time, based on the characteristics of high-end equipment manufacturing enterprises, the “three-layer core-periphery” digital innovation ecosystem framework constructed in this article helps to gain a deep understanding of the development characteristics of the industry's enterprises, provides specific indicator analysis for their intelligent development, opening the “black box” of intelligent development in the industry's enterprises and bridging the gap between theory and practice. Finally, this study uses the fsQCA research method of configuration analysis to explore the complexity of the antecedents and investigate the combined effects of multiple factors on intelligent development, providing new perspectives and rich research results for relevant literature on the intelligent development of high-end equipment manufacturing enterprises.

Details

Business Process Management Journal, vol. 30 no. 1
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 19 July 2022

Deoclécio Junior Cardoso da Silva, Luis Felipe Dias Lopes, Luciana Santos Costa Vieira da Silva, Wesley Vieira da Silva, Clarissa Stefani Teixeira and Claudimar Veiga

This study examines the relationship between the innovation ecosystem and performance measurement models. Although the innovation ecosystem and measurement models are widely…

Abstract

Purpose

This study examines the relationship between the innovation ecosystem and performance measurement models. Although the innovation ecosystem and measurement models are widely recognized, the existing literature lacks a comprehensive understanding of the relationship between the proposed themes. Furthermore, it does not reveal how studies can be grouped to propose a thematic typology of the relationship.

Design/methodology/approach

The authors present a systematic literature review conducted in the Web of Science and Scopus databases, from a textual corpus that aided the proposition of the typology that aims to provide answers regarding the addressed themes.

Findings

The results of this review are based on a total of sixty peer-reviewed articles from the innovation ecosystem literature and performance measurement models between 1995 and 2020. The results make several contributions to the literature. First, by integrating evidence from empirical studies, the authors identified a typology formed by three classes: (1) ecosystem agents (2) analytical focus and (3) structured measurement tools. Second, the authors verified the relationship between the themes and discovered the existence of gaps to be filled, with the proposition of three drivers. Third, the authors presented a comprehensive mapping of field studies with a descriptive analysis of the textual corpus.

Originality/value

The results of the research provide important implications for researchers, managers and policy makers. Furthermore, the authors suggest directions for future research, including the need to examine the performance of the entire innovation ecosystem, integrating the different agents that exist for performance measurement.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 10
Type: Research Article
ISSN: 1741-0401

Keywords

Abstract

Purpose

This study aims to map and assess the conceptual development of the innovation ecosystem literature.

Design/methodology/approach

A bibliometric analysis was performed using the VOSviewer, RStudio software, Bibliometrix and Biblioshiny packages. To accomplish this, 367 publications published between 2006 and 2020 and indexed in the Web of Science and Scopus databases were assessed.

Findings

The results demonstrate a rise in research during 2016, with almost 30% of publications concentrated in only six journals. The co-citation analysis presented four clusters: case studies, business and innovation ecosystems (platform approach), open innovation and national and regional innovation systems (territorial approach). We proposed a theoretical framework based on two approaches in the innovation ecosystem literature based on co-citation analysis: platform, which has its roots in the literature on strategy, and territory, grounded in research on economic geography literature.

Research limitations/implications

One of the limitations of the study is that only articles published in journals were analyzed, leaving out of the sample those published in congresses, books and other sources.

Originality/value

This paper contributes to the literature by presenting and clarifying the different conceptual trajectories of research in innovation ecosystems. We also proposed an analytical framework based on the two main approaches to innovation ecosystems – platform and territory. This framework presents the critical elements of managing innovation ecosystems from both perspectives.

Details

International Journal of Innovation Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 18 March 2024

Mubarik Abdul Mumin, Ibrahim Osman Adam and Muftawu Dzang Alhassan

This study aims to investigate the influence of information and communication technology (ICT) capabilities on supply chain fraud and sustainability within the context of Ghana’s…

Abstract

Purpose

This study aims to investigate the influence of information and communication technology (ICT) capabilities on supply chain fraud and sustainability within the context of Ghana’s small and medium-sized enterprises (SMEs). Additionally, the research explores the mediating role of supply chain fraud in the relationship between ICT capabilities and supply chain sustainability.

Design/methodology/approach

Data were collected from 102 respondents within Ghana’s SME sector, and the research employed the dynamic capability theory as the conceptual framework. The study utilized partial least squares-structural equation modeling (PLS-SEM) to develop and analyze the proposed model.

Findings

The results of the study reveal a significant reduction in supply chain fraud attributable to enhanced ICT capabilities within Ghanaian SMEs. Moreover, ICT capabilities exert a significant positive influence on supply chain sustainability. Importantly, supply chain fraud emerges as a mediator, elucidating its role at the nexus of supply chain sustainability and ICT capabilities.

Originality/value

This research contributes to the limited body of evidence on the interconnectedness of ICT capabilities, supply chain fraud and supply chain sustainability, particularly within the context of Ghanaian SMEs. Notably, this study pioneers an examination of the mediating impact of supply chain fraud on the relationship between ICT capabilities and supply chain sustainability.

Details

Technological Sustainability, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2754-1312

Keywords

Article
Publication date: 30 January 2023

Wu-Yuin Hwang, Rio Nurtantyana and Uun Hariyanti

This study aimed to investigate learning behaviors deeply in flipped classrooms. In addition, it is worth considering how to help learners through recognition technology with…

Abstract

Purpose

This study aimed to investigate learning behaviors deeply in flipped classrooms. In addition, it is worth considering how to help learners through recognition technology with natural language processing (NLP) when learners have question and answer (Q&A). In addition, the Internet of Things (IoT) can be utilized to make the physical learning environment more comfortable and smarter.

Design/methodology/approach

The authors developed smart learning environment (SLE) with smart mechanisms supported by recognition technology, NLP and IoT to help learners and employed scaffolding to facilitate their group discussions. This study is an explanatory research to investigate graduate learners' learning behavior when they are collaborating with group members and interacting with the environment in flipped classroom using the proposed SLE.

Findings

The results revealed that learners who collaborated more while coediting had significant learning achievement, and NLP sufficiently addressed their questions. Physical conditions of the SLE were comfortable for learners. They perceived that SLE could facilitate group discussions with scaffolding.

Practical implications

This study suggests to utilize flipped classrooms with technologies, e.g. Google Slides integration, to help learners to do more collaboration and use smart mechanisms, e.g. Q&A with NLP, to make learners more interacting during the discussion process.

Originality/value

The proposed SLE can record and analyze smartly their collaboration meaningfully with group members and interact with the environment. Accordingly, researchers found that collaboration in flipped classrooms can help their learning achievement, and it is worth being widely promoted.

Details

Data Technologies and Applications, vol. 57 no. 5
Type: Research Article
ISSN: 2514-9288

Keywords

Open Access
Article
Publication date: 20 June 2023

Alexandra Kirkby, Carsten Baumgarth and Jörg Henseler

This paper aims to explore consumer perception of “brand voice” authenticity, brand authenticity and brand attitude when the source of text is disclosed as either artificial…

4177

Abstract

Purpose

This paper aims to explore consumer perception of “brand voice” authenticity, brand authenticity and brand attitude when the source of text is disclosed as either artificial intelligence (AI)-generated or human-written.

Design/methodology/approach

A 3 × 3 experimental design using Adidas marketing texts disclosed as either “AI” or “human”, or not disclosed was applied to data gathered online from 624 English-speaking students.

Findings

Text disclosed as AI-generated is not perceived as less authentic than that disclosed as human-written. No negative effect on brand voice authenticity and brand attitude results if an AI-source is disclosed.

Practical implications

Findings offer brand managers the potential for cost and time savings but emphasise the strong effect of AI technology on perceived brand authenticity and brand attitude.

Originality/value

Results show that brands can afford to be transparent in disclosing the use of AI to support brand voice as communicated in product description or specification or in chatbot text.

Details

Journal of Product & Brand Management, vol. 32 no. 7
Type: Research Article
ISSN: 1061-0421

Keywords

Open Access
Article
Publication date: 13 March 2024

Edgar Romero-Jara, Francesc Solanellas, Samuel López-Carril, Dimitrios Kolyperas and Christos Anagnostopoulos

In a dynamic, continuously evolving sports landscape, social media have become an indispensable tool for sports organizations to cultivate meaningful connections with fans. The…

Abstract

Purpose

In a dynamic, continuously evolving sports landscape, social media have become an indispensable tool for sports organizations to cultivate meaningful connections with fans. The rapid pace of technological advancements has elevated these digital platforms from a supplementary role to a pivotal position within strategic management frameworks. The existing literature explores how football clubs can utilize social media, but analyzing social media strategies within the context of football leagues is lacking. The absence of comparative studies benchmarking clubs across different geographical regions while simultaneously analyzing multiple social media platforms is especially noteworthy. In this study, a comprehensive analysis of social media engagement is undertaken within esteemed football leagues spanning Europe, South America and North America.

Design/methodology/approach

Drawing on relationship marketing and employing content analysis as a methodological tool, the study examined 10,772 posts from the official accounts of eight football leagues on Facebook, Twitter and Instagram.

Findings

Across the leagues, the findings reveal that content quality drives engagement more than frequency. In addition, several format combinations were identified that facilitate engagement and Instagram emerged as the top social media platform for generating fan engagement.

Originality/value

This is one of the first empirical studies focusing on optimizing the use of social media to amplify fan engagement across various geographies and social media accounts and formats simultaneously.

Details

International Journal of Sports Marketing and Sponsorship, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1464-6668

Keywords

Content available
Book part
Publication date: 10 December 2023

Ted Moser, Charlotte Bloom and Omar Akhtar

Abstract

Details

Winning Through Platforms: How to Succeed When Every Competitor Has One
Type: Book
ISBN: 978-1-80455-298-8

Article
Publication date: 15 May 2023

Sandip Mukhopadhyay, Jason Whalley, Ritesh Pandey and Vinodhini Ranganathan

In parallel with the rising importance of innovation and digital technologies, research on platform ecosystems is rapidly accumulating. This study aims to summarize the current…

Abstract

Purpose

In parallel with the rising importance of innovation and digital technologies, research on platform ecosystems is rapidly accumulating. This study aims to summarize the current research published in leading technical and innovation management (TIM) journals and provide recommendation for future research.

Design/methodology/approach

In this paper, the authors combine multiple quantitative literature review methods (social network analysis, citation analysis and co-citation analysis) with a systematic literature review of articles published in the 13 most influential TIM journals over a 15-year period.

Findings

The citation network of 168 selected papers is sparse, with low network density indicating the emerging nature of the field. Using network centrality values, the authors identified the 33 most influential articles. The review of methodologies in these articles found that conceptual and case study research dominate, suggesting the need for additional confirmatory and quantitative analysis. Co-citation analysis of the references identified six research clusters: foundation, network-centric innovation, complementor management, platform competition, ecosystemsand product platforms.

Originality/value

This analysis is among the first to examine the knowledge structure of platform ecosystem research in the TIM domain by using multiple evidence-based analysis methods. The authors also apply the theory, context, characteristics and methodology framework to suggest areas for future research.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

1 – 10 of 21