INNOVATION MANAGEMENT CONTROL: BIBLIOMETRIC ANALYSIS OF ITS EMERGENCE AND EVOLUTION AS A RESEARCH FIELD

2018 ◽  
Vol 22 (03) ◽  
pp. 1850031 ◽  
Author(s):  
ALEXANDER TKOTZ ◽  
JAN CHRISTOPH MUNCK ◽  
ANDREAS ERICH WALD
Keyword(s):  
Bibliometric Analysis ◽  
Innovation Management ◽  
Innovation Process ◽  
Research Field ◽  
Management Control ◽  
Future Research ◽  
Coherent System ◽  
Management Control System ◽  
Research Directions ◽  
Future Research Directions

Innovation Management Control (IMC) supports innovation management with valuable information, thus improving innovation effectiveness and efficiency. Literature has shown that different elements of a management control system must be interdependent and that its design must form a coherent system of controls that spans the entire process under control. Accordingly, IMC covers the entire innovation process. However, IMC literature is spread over numerous journals from different disciplines, which may prevent the development of holistic IMC systems. We present a bibliometric analysis that provides insights into the development of IMC as a research field and examines the severity of knowledge dispersal. We build on a database covering 549 papers. The aim of the study is to reveal IMCs emergence and evolution as a research field, and future research directions. Our study shows that IMC combines several subfields and that dispersion is present in IMC, thus slowing knowledge transfer and hindering rapid progress.

scholarly journals A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020

2021 ◽  
Vol 18 (14) ◽  
pp. 7567
Author(s):  
Xiaochen Zhang ◽  
Lanxin Hui ◽  
Linchao Wei ◽  
Fuchuan Song ◽  
Fei Hu
Keyword(s):  
The Elderly ◽  
Research Field ◽  
Future Research ◽  
Human Machine Interaction ◽  
Research Directions ◽  
The Past ◽  
Power Wheelchairs ◽  
The Disabled ◽  
Future Research Directions ◽  
Machine Interaction

Electric power wheelchairs (EPWs) enhance the mobility capability of the elderly and the disabled, while the human-machine interaction (HMI) determines how well the human intention will be precisely delivered and how human-machine system cooperation will be efficiently conducted. A bibliometric quantitative analysis of 1154 publications related to this research field, published between 1998 and 2020, was conducted. We identified the development status, contributors, hot topics, and potential future research directions of this field. We believe that the combination of intelligence and humanization of an EPW HMI system based on human-machine collaboration is an emerging trend in EPW HMI methodology research. Particular attention should be paid to evaluating the applicability and benefits of the EPW HMI methodology for the users, as well as how much it contributes to society. This study offers researchers a comprehensive understanding of EPW HMI studies in the past 22 years and latest trends from the evolutionary footprints and forward-thinking insights regarding future research.

scholarly journals Mapping and Clustering Analysis on Environmental, Social and Governance Field a Bibliometric Analysis Using Scopus

2021 ◽  
Vol 13 (13) ◽  
pp. 7304
Author(s):  
Shang Gao ◽  
Fanchen Meng ◽  
Zhouyang Gu ◽  
Zhiyuan Liu ◽  
Muhammad Farrukh
Keyword(s):  
Bibliometric Analysis ◽  
Clustering Analysis ◽  
Research Agenda ◽  
Future Research ◽  
Unique Contribution ◽  
Research Directions ◽  
Current Trends ◽  
Bibliographic Data ◽  
Future Research Directions ◽  
Scopus Database

Academic interest in ESG has grown significantly in recent years. Nevertheless, bibliometric and visualization research on this topic is still insufficient. This study aims to conduct publication metrics on the literature connected with ESG and attempt to give a research agenda for future research. In this study, we used data from the Scopus database. Various bibliometric techniques, such as bibliographic coupling and co-occurrence analysis, were combined with assorted themes to present an overview. To the best of our knowledge, there is no study that analyses the bibliographic data on ESG fields; this study is a unique contribution to the literature. This study also provides an overview of the trends and trajectories with a visual and schematic frame for the research of this topic. This may help researchers understand the current trends and future research directions, and enable future authors to conduct their studies more effectively.

Retail Customer Engagement

2019 ◽  
pp. 1-26
Author(s):  
Andrea Moretta Tartaglione ◽  
Giuseppe Granata
Keyword(s):  
Literature Review ◽  
Bibliometric Analysis ◽  
Scientific Community ◽  
State Of The Art ◽  
Customer Engagement ◽  
Future Research ◽  
Research Directions ◽  
Study Results ◽  
Research Findings ◽  
Future Research Directions

Customer engagement is one of the most debated topics in marketing literature. The great interest of the scientific community resulted in a large amount of research on this topic making it difficult for scholars to understand how to really contribute to advance the research. Based on these considerations, this chapter aims to provide an overview of the research findings and trends of previous studies to guide the researcher to the most influential works, results, and issues that need more insights. In particular, this chapter offers a literature review on customer engagement and retail customer engagement using bibliometric analysis and scientific mapping study. Results show the most productive authors, most cited publications, most frequent words, and clusters of related words. The analysis provides a description of the state of the art of retail customer engagement and suggests future research directions.

Specification, Development, and Verification of CASCADAS Autonomic Computing and Networking Toolkit

2011 ◽  
pp. 65-96 ◽  
Author(s):  
Antonio Manzalini ◽  
Nermin Brgulja ◽  
Roberto Minerva ◽  
Corrado Moiso
Keyword(s):  
Autonomic Computing ◽  
Management Control ◽  
Experimental Results ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
New Challenges ◽  
Eu Project ◽  
And Storage ◽  
Autonomic Communications

Increasing complexity, heterogeneity, and dynamism of current networks (telecommunications, ICT, and Internet) are making current computational and communication infrastructures brittle, inefficient, and almost unmanageable. As a matter of fact, computing and storage are progressively embedded in all sorts of nodes and devices that are interconnected through a variety of (wireless and wired) technologies in Networks of Networks (NoNs). Dynamicity, pervasivity, and interconnectivity of future NoNs will increase the complexity of their management, control, and optimization more and more, and will open new challenges for service delivery in such environments. Autonomic communications principles and technologies can provide effective computing and networking solutions overcome these bottlenecks and to foster such challenging evolution. This chapter presents the main concepts of an autonomic communications toolkit designed and developed in the EU project CASCADAS for creating and supervising service networking ecosystems, structured as ensembles of distributed and cooperating autonomic components. Moreover, it describes several use-cases developed for its validation and demonstration and reports the experimental results to assess the toolkit performances. A brief overview of future research directions concludes the chapter.

Directions in the Field of Technology Innovation Management

2010 ◽  
pp. 281-300
Author(s):  
Robert S. Friedman ◽  
Desiree M. Roberts ◽  
Jonathan D. Linton
Keyword(s):  
Economic Theory ◽  
Technology Innovation ◽  
Innovation Management ◽  
Future Research ◽  
Research Directions ◽  
The Past ◽  
The Face ◽  
Future Research Directions ◽  
Business And Management ◽  
Underlying Theme

Although the goal of this book is to provide foundational knowledge through indepth consideration of the seminal literature in the technology innovation management field, we now offer some thoughts on integrating the past, present, and future research directions in this field. The underlying theme that holds together the research considered in this book is the tension between the old (current routine) and the new (innovation). Mainstream business and management theory, like economic theory, focuses on the assumption of equilibrium. The study of technology innovation management at its core considers how to manage in the face of dynamics caused by the novelty and uncertainty associated with innovation. The nature of these dynamics can differ depending on a variety of factors. In some cases, the innovation causes smaller disruptions, due either to the magnitude or the nature of its effects. Such changes are often associated with terminology such as continuous, evolutionary, incremental, or sustaining. At other times, the disruptions are quite large, either due to a greater magnitude of change or a substantial difference in the change. These changes are often associated with terms such as discontinuous, disruptive, radical, or revolutionary. A major challenge to technology innovation management research is that the assumption of equilibrium is needed in many cases to allow for sufficient simplification of phenomena to produce generalizable theory and solutions that are tractable and close formed.

scholarly journals Investigating digital sustainability: A retrospective bibliometric analysis of literature leading to future research directions

First Monday ◽  
2021 ◽  
Author(s):  
Gagan Deep Sharma ◽  
Dimitrios Reppas ◽  
Glenn Muschert ◽  
Vijay Pereira
Keyword(s):  
Information Systems ◽  
Bibliometric Analysis ◽  
Future Research ◽  
Economic Aspects ◽  
Research Directions ◽  
Business Information Systems ◽  
The Core ◽  
Business Information ◽  
Future Research Directions ◽  
Over Time

This paper provides a bibliometric analysis of the digital sustainability literature from four angles: economics, management/business, information systems/IT, and sociology/communication. The core contribution is to map the development of the literature in digital sustainability over time and across various clusters. Through VOSviewer analysis, we identify the main keywords used by the literature; the countries from which most of the literature is emerging; the most influential authors working in the field; and, their impacts by observing their citations and networks. Moreover, through CitNetExplorer analysis, we track the development of the field over time, i.e., identify key publications and divide those into clusters. The analysis finds a much more developed coverage of digital sustainability in the scholarship of management/business and therefore reveals a clear need for greater exploration of the sociological and economic aspects of digital sustainability. We argue that more robust collaboration patterns should be established among all four considered disciplines to achieve progress in digital sustainability. We envisage that digital sustainability as a field of study will mature as publications and ideas will become consolidated. Such integration strengthens the evolution of the field and topics across all four considered disciplines.

scholarly journals You can Try without Visiting: A Comprehensive Survey on Virtually Try-on Outfits

2021 ◽  
Author(s):  
Hajer Ghodhbani ◽  
Adel Alimi ◽  
Mohamed Neji ◽  
Imran Razzak
Keyword(s):  
Deep Learning ◽  
Literature Review ◽  
Research Field ◽  
Future Research ◽  
Fashion Industry ◽  
Research Directions ◽  
Comprehensive Literature Review ◽  
Benchmark Datasets ◽  
Comprehensive Survey ◽  
Future Research Directions

<p>Our work aims to conduct a comprehensive literature review of deep learning methods applied in the fashion industry and, especially, the image-based virtual fitting task by citing research works published in the last years. We have summarized their challenges, their main frameworks, the popular benchmark datasets, and the different evaluation metrics. Also, some promising future research directions are discussed to propose improvements in this research field.</p>

scholarly journals Image-Based Virtual Try-on System: A Survey of Deep Learning-Based Methods

2021 ◽  
Author(s):  
Hajer Ghodhbani ◽  
Adel Alimi ◽  
Mohamed Neji
Keyword(s):  
Deep Learning ◽  
Literature Review ◽  
Research Field ◽  
Future Research ◽  
Fashion Industry ◽  
Research Directions ◽  
System A ◽  
Comprehensive Literature Review ◽  
Benchmark Datasets ◽  
Future Research Directions

<p>Our work aims to conduct a comprehensive literature review of deep learning methods applied in the fashion industry and, especially, the image-based virtual fitting task by citing research works published in the last years. We have summarized their challenges, their main frameworks, the popular benchmark datasets, and the different evaluation metrics. Also, some promising future research directions are discussed to propose improvements in this research field.</p>

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