scholarly journals Investigating Circular Business Model Innovation through Keywords Analysis

2021 ◽  
Vol 13 (9) ◽  
pp. 5036
Author(s):  
Barbara Bigliardi ◽  
Serena Filippelli
Keyword(s):  
Business Model ◽  
Business Models ◽  
New Ventures ◽  
Business Model Innovation ◽  
Future Research ◽  
Research Directions ◽  
Circular Model ◽  
Future Research Directions ◽  
Circular System ◽  
Start Ups

Ongoing economic, social and environmental developments have forced the production system to undertake a profound transformation, shifting from a linear to a circular model. The transformation towards a circular economy poses significant challenges for established companies, in many cases requiring a strong modification of their current business models, start-ups and new ventures. Firms need to completely rethink their value proposition, modifying how the product or service is produced, delivered to the customers and disposed of. As a result, interest in business model innovation with a view to a circular system has increased significantly over the last five years, leading to a flourishing literature production. Although several literature reviews have been published on the topic of the circular business model, few of them include the innovation dimension. Moreover, the time horizon covered by the previous reviews extends to 2019 and in one case to 2020. Since 2020 saw a 135% increase in scientific production compared to the previous year, it is necessary to update the prior works, taking into account the new contributions. Our paper aims to bridge this gap by proposing a literature review based on keywords analysis. In this way, it is possible to analyze the issues addressed in the circular business model innovation (CMBI) by categorizing them as core, emerging/phantom, trendy or intermittent. This analysis is particularly suitable for identifying future research directions as signaled by the emerging themes.

scholarly journals Digital business model innovation: toward construct clarity and future research directions

2022 ◽  
Author(s):  
Matthias Fabian Gregersen Trischler ◽  
Jason Li-Ying
Keyword(s):  
Business Model ◽  
Business Model Innovation ◽  
Future Research ◽  
Business And Society ◽  
Organization Studies ◽  
Research Directions ◽  
Significant Step ◽  
Future Research Directions ◽  
Contemporary Management ◽  
Management Challenge

AbstractIn times of unprecedented change related to the ongoing digital transformation of business and society at large, a pressing contemporary management challenge is recognizing and translating these changes into digital business model innovation (DBMI). Academia potentially has much to offer in aiding this managerial challenge, yet research in the field remains vague with regard to what DBMI is. We detect conceptual ambiguity among scholars as a bottleneck that prevents advancements in the field of DBMI research. In this article, we aim to trace the foundation of key attributes of the DBMI concept and propose a novel definition. Our insights are based on a targeted, state-of-the-art literature review of 57 publications. We conclude with an exploration of avenues for future research, which we closely link to the broader fields of strategic management, information systems, and organization studies, thereby exposing the issue of DBMI to a wider audience. Overall, we aim to make a significant step toward construct clarity in DBMI research.

scholarly journals Carpooling in Connected and Autonomous Vehicles: Current Solutions and Future Directions

2022 ◽  
Author(s):  
Farkhanda Zafar ◽  
Hasan Ali Khattak ◽  
Moayad Aloqaily ◽  
Rasheed Hussain
Keyword(s):  
Business Model ◽  
Autonomous Vehicles ◽  
Research Work ◽  
Relevant Information ◽  
Security And Privacy ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Survey ◽  
One Stop ◽  
Future Research Directions

Owing to the advancements in communication and computation technologies, the dream of commercialized connected and autonomous cars is becoming a reality. However, among other challenges such as environmental pollution, cost, maintenance, security, and privacy, the ownership of vehicles (especially for Autonomous Vehicles (AV)) is the major obstacle in the realization of this technology at the commercial level. Furthermore, the business model of pay-as-you-go type services further attracts the consumer because there is no need for upfront investment. In this vein, the idea of car-sharing ( aka carpooling) is getting ground due to, at least in part, its simplicity, cost-effectiveness, and affordable choice of transportation. Carpooling systems are still in their infancy and face challenges such as scheduling, matching passengers interests, business model, security, privacy, and communication. To date, a plethora of research work has already been done covering different aspects of carpooling services (ranging from applications to communication and technologies); however, there is still a lack of a holistic, comprehensive survey that can be a one-stop-shop for the researchers in this area to, i) find all the relevant information, and ii) identify the future research directions. To fill these research challenges, this paper provides a comprehensive survey on carpooling in autonomous and connected vehicles and covers architecture, components, and solutions, including scheduling, matching, mobility, pricing models of carpooling. We also discuss the current challenges in carpooling and identify future research directions. This survey is aimed to spur further discussion among the research community for the effective realization of carpooling.

Business Models and Organizational Processes Changes

2011 ◽  
pp. 192-205
Author(s):  
Helena Halas ◽  
Tomaž Klobucar
Keyword(s):  
Pervasive Computing ◽  
Business Models ◽  
Business Processes ◽  
Future Research ◽  
Organizational Processes ◽  
Research Directions ◽  
Main Stress ◽  
Future Research Directions ◽  
Future Business

This chapter explores the influence of pervasive computing on companies and their businesses, with the main stress on business models. The role of business models for companies is presented. Introduction to pervasive computing and a survey of existing e-business models classifications are used as a base for our research. The main characteristics of today’s business models are discussed and a method for evaluating business models characteristics is proposed. We concentrate on characteristics of pervasive computing and their influence on companies’ business processes and business models. The present and future business characteristics and business models are briefly compared, and future research directions on pervasive computing and business models are presented.

Industry 4.0 in Pumping Applications

2021 ◽  
pp. 941-954
Author(s):  
Luiz Eduardo Marques Bastos
Keyword(s):  
Working Conditions ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
Future Research ◽  
Research Directions ◽  
Equipment Operation ◽  
The World ◽  
Future Research Directions ◽  
Traditional Industry

This chapter addresses the so-called Industry 4.0 and some of its applications in industrial pumps, seeking to emphasize its characteristics and benefits. The introduction of 4.0 industry technologies in this traditional industry can cause profound changes in existing business models, providing greater customer satisfaction, either improving the effectiveness of equipment operation, contributing to better adjustment to working conditions, and also prolonging their life cycle. We are still in the early stages of these technologies and a lot is yet to evolve; however, there are already interesting examples developed by some pump manufacturers around the world, some of which will be mentioned in this chapter. It is subdivided into three main parts, namely brief historical panorama from the first industrial revolution to Industry 4.0, current applications in the industrial pump industry, and finally, future research directions and conclusion.

Business Models and Organizational Processes Changes

2011 ◽  
pp. 155-168
Author(s):  
Helena Halas ◽  
Tomaž Klobucar
Keyword(s):  
Pervasive Computing ◽  
Business Models ◽  
Business Processes ◽  
Future Research ◽  
Organizational Processes ◽  
Research Directions ◽  
Main Stress ◽  
Future Research Directions ◽  
Future Business

This chapter explores the influence of pervasive computing on companies and their businesses, with the main stress on business models. The role of business models for companies is presented. Introduction to pervasive computing and a survey of existing e-business models classifications are used as a base for our research. The main characteristics of today’s business models are discussed and a method for evaluating business models characteristics is proposed. We concentrate on characteristics of pervasive computing and their influence on companies’ business processes and business models. The present and future business characteristics and business models are briefly compared, and future research directions on pervasive computing and business models are presented.

scholarly journals Service modularity and architecture – an overview and research agenda

2017 ◽  
Vol 37 (6) ◽  
pp. 686-702 ◽  
Author(s):  
Saara A. Brax ◽  
Anu Bask ◽  
Juliana Hsuan ◽  
Chris Voss
Keyword(s):  
Business Models ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Research Designs ◽  
Architectural Innovation ◽  
Future Research Directions ◽  
The Subject ◽  
Research Stream ◽  
Tangible Product

Purpose Services are highly important in a world economy which has increasingly become service driven. There is a growing need to better understand the possibilities for, and requirements of, designing modular service architectures. The purpose of this paper is to elaborate on the roots of the emerging research stream on service modularity, provide a concise overview of existing work on the subject, and outline an agenda for future research on service modularity and architecture. The articles in the special issue offer four diverse sets of research on service modularity and architecture. Design/methodology/approach The paper is built on a literature review mapping the current body of literature on the topic and developing future research directions in service modularity and architecture. Findings The growing focus on services has triggered needs to investigate the suitability and implementation of physical-product-focused modularity principles and theories in service contexts, and to search for principles/theories that enhance services. The expanding research stream has explored various aspects of service modularity in empirical contexts. Future research should focus on service-specific modularity theories and principles, platform-based and mass-customized service business models, comparative research designs, customer perspectives and service experience, performance in context of modular services, empirical evidence of benefits and challenges, architectural innovation in services, modularization in multi-provider contexts, and modularity in hybrid offerings combining service and tangible product modules. Originality/value Nine areas are recommended for further research on service modularity and architecture. The introductory piece also discusses the roots of service modularity and provides an overview of current contributions.

Cooperative Strategies in Non-High-Tech New Ventures: An Exploratory Study

1997 ◽  
Vol 21 (2) ◽  
pp. 37-54 ◽  
Author(s):  
Candida G. Brush ◽  
Radha Chaganti
Keyword(s):  
Qualitative Methods ◽  
Exploratory Study ◽  
Resource Constraints ◽  
New Ventures ◽  
Future Research ◽  
High Tech ◽  
Research Directions ◽  
Cooperative Strategies ◽  
Future Research Directions ◽  
Quantitative And Qualitative Methods

Cooperative strategies are of growing interest in entrepreneurship. Current research focuses on high-tech companies, but less is known about cooperative activities in non-high-tech businesses. Differences in distinct competencies based on technology suggest that lessons from high-tech companies may not fully apply to non-high-tech companies. This research explores the nature, extent, and approaches to cooperative strategies in non-high-tech new ventures, utilizing quantitative and qualitative methods. Survey data is analyzed to assess usage and characteristics of cooperative strategies. Results show that few companies used cooperative strategies and these were not central to core operations. Field interviews comparing three non-high-tech and three high-tech new ventures examine motives and approaches to cooperative strategies. For all six cases, resource constraints motivated usage of cooperative strategies and all had cooperative arrangements with competitors. However, goals and approaches to cooperative strategies differed between non-high-tech and high-tech businesses. Findings suggest future research directions.

scholarly journals The Economics of Open Source Software: A Survey of the Early Literature

2002 ◽  
Vol 1 (1) ◽  
Author(s):  
Aaron Schiff
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Business Models ◽  
Recent Literature ◽  
Future Research ◽  
Research Directions ◽  
Early Literature ◽  
Future Research Directions ◽  
Closed Source

This paper reviews the recent literature on the economics of open source software. Two different sets of issues are addressed. The first looks at the incentives of programmers to participate in open source projects. The second considers the business models used by profit-making firms in the open source industry, and the effects on existing closed source firms. Some possible future research directions are also given.

scholarly journals Application of Blockchain for Internet of Things: A Bibliometric Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ruijun Duan ◽  
Li Guo
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Citation Index ◽  
Security Requirements ◽  
Future Research ◽  
Privacy And Security ◽  
Bibliometric Method ◽  
Research Directions ◽  
Security Issues ◽  
Future Research Directions

As a disruptive emerging technology, the Internet of things (IoT) has rapidly developed, but its privacy risks and security vulnerabilities are still key challenges. The decentralized and distributed architecture of blockchain has the potential to satisfy IoT privacy and security requirements. This gives birth to the new domain of blockchain for IoT (BIoT). BIoT will cause significant transformations across several industries, paving the way for new business models. Based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) databases in Web of Science (WoS) Core Collection, this study aims to explore the research trends and cooperation in the field of BIoT using the bibliometric method. The results indicate that the publications in this field have increased significantly from 2016 to 2020, with China and the USA being the most productive and influential countries. Keyword co-occurrence analysis shows that the most important research topics are as follows: security issues, core technologies, application dimensions, and transaction processes. Text mining analysis indicates that future research directions for BloT will focus more on both computing paradigms and key applications. This study will provide researchers with a greater understanding on the state of the art of BIoT and will serve as a reference for researchers engaging in this field to identify their own future research directions.

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