Business model of garment enterprises: a scientometric review

2021 ◽  
Vol 91 (13-14) ◽  
pp. 1609-1626
Author(s):  
Yuran Jin ◽  
Xiangye Song ◽  
Jinhuan Tang ◽  
Xiaodong Dong ◽  
Huisheng Ji

The research on the business model of garment enterprises (BMGE) has expanded rapidly in the last decade. However, there is still a lack of comprehensive reviews of it, let alone visual research. Based on scientometrics, in this paper 118 papers and their 4803 references from Science Citation Index Expanded, Social Sciences Citation Index, Conference Proceedings Citation Index—Science, and Conference Proceedings Citation Index—Social Science & Humanities for the period 2010–2020 about the BMGE were analyzed by visualizing the co-cited references, co-occurrence keywords, burst references, dual-map overlays, and more with CiteSpace, Google Maps, and VOSviewer. The research revealed the intellectual landscapes of the BMGE for the first time and mapped the landmark papers, hotspots and trends, national or regional distributions and their cooperation networks, highly cited authors, and prestigious journals and disciplines related to the BMGE. The results show that the biggest hotspot is the fast fashion business model; social responsibility, smart fashion, Internet of Things, and sharing fashion are the main emerging hotspots; and the research focuses has evolved from traditional business models to business models driven by new technologies, then to new issues such as circular economy models. The institutions are mainly distributed in China, the United States, and Western Europe, and there is cooperation between more than 11 countries. The most popular disciplines are economics and politics, while psychology, education, and social science are the essential basic disciplines. The Journal of Cleaner Production and Journal of Fashion Marketing and Management, among others, actively promoted the research.

1969 ◽  
Vol 16 (1) ◽  
Author(s):  
Yali Friedman

In the relatively short history of the biotechnology industry, new business models have emerged every few years. Some have been little more than short-lived marketing or investment-attraction devices, whereas others have had endured as viable options. Given the dramatic changes in the economic climate and potentially the regulations affecting biotechnology, is it time for a new business model?A SHORT HISTORYFirst there was the FILCO, or fully integrated life science company, business model. This model, employed by some of the first biotechnology companies, positioned firms to capture the revolutionary advances of biotechnology and to build large vertically-integrated companies. Companies like Amgen and Genentech were able to fulfill this endpoint, but many other companies were not so fortunate. Another early model was to improve existing products, rather than to build an entire franchise around discovering and commercializing new ones. This model is exemplified by Alza, which was founded to improve medical treatment through controlled drug delivery and focused on improving existing drugs rather than developing new ones. This same model is still employed today, and shares some similarity with the technology platform business model, where companies focus on developing technologies that can be sold to other R&D firms, rather than independently developing consumer applications.Newer business models did not replace the older ones, but rather enabled new firms to focus on the unique environment in which they were founded. Examples include the hybrid model that combined product development with a technology platform, which could be sold or licensed to others, and the no research, development-only model that as a derivative of the specialty pharmaceutical model, saw newly founded companies buying drug leads off of other companies to complete late-stage clinical trials. These models enabled new firms to meet the respective needs of risk-averse and cash-rich investors.WHERE ARE WE NOW?I've previously written that the global economic crisis has been (and still is) transformative for the biotechnology industry. The aforementioned biotechnology business models rose to prominence in conditions that favored them. For example, the hybrid model emerged in a funding drought and was favored as it enabled companies to build internal revenue streams while still maintaining the possibility to realize the upside of product sales.What are the factors influencing biotechnology companies today? In the United States, beyond the general economic climate there are still unresolved questions about the availability of early stage financing, the ability to recruit foreign workers, and – post-commercialization – data exclusivity, generic biologics and the potential for price controls. Internationally, some nations are still undergoing dramatic economic reorganizations, while others are making significant investments in building biotechnology R&D capacity.So, the question remains: Is the biotechnology industry ready for a new business model, and is there a business model that can accommodate the myriad domestic challenges faced by many countries while addressing the increasing globalization of activities?


2021 ◽  
Vol 2 (1) ◽  
pp. 91-96
Author(s):  
Olena Taranukha

The digital economy allows to compose the new business models, digital platforms and services, which create new types of economic activity, as well as the transformation of traditional industries. Due to the industries transformation to the digital economy there is the transformation of the world economy, or rather the economy itself is being digitized The purpose of the paper is to reveal the essence and features of the digital economy formation and to consider what significant transformations will take place in the world by the analysis of major trends in the near future. Accumulating all the concepts, we can say that the digital economy is the rather complex term, but we can assume that its development is based on the key components According to forecast estimates, the most advanced retail companies will begin implementing the service of virtual and voice search of goods by 2022. This will require from the company the better understanding of the consumers wishes, their interests and intentions. Consider the main technological development trends for 2020-2025 based on the data of the major consulting agencies and the consulting company "Cartner" Figure 2 shows the forecast curve of the new technologies development. Innovative development triggers that will actively influence the technology development include the following: the Authenticated Provenance, Low-Cost Single Board Computers at the Edge, Self-Supervised Learning, BMI (Brain Machine Interface), active development of "Packaged Business Capabilities" services, Digital Twin of the Person and Composible Enterprises. The peak of disappointments will be Social Distancing Technologies and Secure Access Service. The source of expectations will be the development of Carbon-Based transistors technology and Human digital Ontologies. The formation of a productivity platform will be based on trends in Self-Development and Self-Education. Digital IT trends grow, evolve and acquire new properties of social technologies that can influence the structure of the community, form dependencies and demand. Therefore, companies, large corporations and government need to move to more flexible composite business architectures. The modular business model is based on four basic principles: modularity, efficiency, continuous improvement and adaptive innovation. This business model allows to move from rigid traditional planning to a flexible response to rapidly changing business needs. In general, it creates opportunities for innovative approaches, reduces costs and improves partnerships. It is important to pay attention to the other technologies in the new business model such as bundled business services, data factories, private 5G networks and embedded artificial intelligence. Thus, as a result of the research it is proved that the digital world is a completely new order of life, which requires to change our thinking. The person should be always focused on the new technologies and methods in order the enterprises remain competitive and constantly developed, it will promote the economy development and the growth of well-being of the society. So, taking into account the global trends in technology development, Ukraine has to adapt to the new standards quickly and implement innovative solutions for the economic development. The digitalization of the economy, on the one hand, is the key to economic success, on the other hand, it is the driving force in the conditions of the conceptual understanding of the digital economy essence. The growth of the quality and innovation level of domestic goods and services should provide not only sustainable economic growth, but also competitive advantages with further integration into the EU. At the same time, there is the relevant need of the scientific and technological research, the formation of a certain business ("digital") culture, the implementation of smart city ideas in Ukraine based on the development of local communities and the emergence of new initiatives and proposals for innovative solutions.


2020 ◽  
pp. 191-213
Author(s):  
Purna Prabhakar Nandamuri ◽  
K. S. Venu Gopala Rao ◽  
Mukesh Kumar Mishra

Conventionally, businesses focus on their offerings for growth. But the increasingly unpredictable business environment is making them irrelevant in the market. So, businesses should resort to a system of dynamic management by innovating on the business models rather than a single aspect of the business. Business model innovation demands neither new technologies nor creation of new markets, but cares about delivering the existing products produced by existing technologies to the existing markets, through a unique model. Hence, defining, innovating, and evolving new business models have become the new basis of competition. A differentiated, hard-to-imitate, effective, and efficient business model is more likely to ensure higher profits and long-term survival. In this context, the present chapter attempts to furnish multiple global evidences and discuss the Indian perspective of business model innovation.


Author(s):  
Abbas Strømmen-Bakhtiar

From the invention of writing to the steam engine and to computers, human history has been one of technological inventions and change. In our relatively recent past we have witnessed several technological revolutions which rapidly replaced one set of technologies by another, and in the process created what Schumpeter called the creative destruction. Today, we are witnessing a technological revolution that is changing the way we live, work, and communicate. We call this the digital revolution which brings with it new technologies, methods, and business models. This chapter discusses the digital revolution and the platform business model. This business model is used by many “sharing economy” businesses such as Airbnb and Uber. The success of this business model is dependent on the rapid expansion of its user-base. This business model requires infrastructure and applications that can cope with this rapid expansion. Cloud computing has been providing these services.


Author(s):  
Nikki Usher ◽  
Mark Poepsel

This chapter challenges the conventional assumption that journalism can be saved through a singular business model. We argue, using examples from the United States, that scholars and journalists need to be more holistically engaged with the economics of media more generally, and different types of journalism beyond newspaper and digital-first outlets. Second, scholars and journalists need to be more intellectually honest about their aims in conducting this research: Is research on news business models aimed at propping up corporate-funded journalism? What is the purpose of critiquing current business models, and are the solutions proposed really tenable or equitable within current political and social landscapes? Third, universities should consider their strengths and limitations in serving as potential “bubbles” for innovation, experimentation, and insulation from commercial pressures.


2013 ◽  
Vol 4 (4) ◽  
pp. 36-60
Author(s):  
Nastaran Hajiheydari ◽  
Payam Hanafizadeh

The present study intends to design a methodology for examining the influence of modern information and communication technology on business models (BMs). Theoretical framework is mainly selected based on literature as well as consultation with expert focus groups. This methodology is validated by expert judgment and simulated as a real case applying system dynamics. The outcome of the survey includes a change methodology formulated in 5 phases and 37 activities. Not only has this study covered the specification of the theory structure; it was carried out in an organization in order to test its feasibility, as well. The proposed methodology in this research could help business analysts and managers with changing business model while adopting new technologies.


Systems ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 23 ◽  
Author(s):  
Wolfgang Vorraber ◽  
Dietmar Neubacher ◽  
Birgit Moesl ◽  
Julia Brugger ◽  
Sigmar Stadlmeier ◽  
...  

Digital innovation is a key success factor for business enterprises and organizations concerned with public safety. Increasingly shorter technology cycles produce a stream of highly promising gadgets and smart devices and this innovative provision opens a gap between what is currently in use for the value-creation processes of an organization and what could potentially be used. The presented framework provides guidance on how to implement dynamic capabilities needed for business model and service innovation within a complex socio-technical system. A way to combine technology and use-case sensing with the ultimate aim of creating innovative artifacts for organizations is presented. While Business Model Innovation (BMI) literature mainly focuses on a strategic top-down process, we propose a bottom-up process-driven approach to complement business frameworks. Based on these insights, new service artifacts can be designed and analyzed in a systemic way. The applied research methodology is based on the design science research concept. A qualitative approach with focus groups was used to gather user requirements and facilitate participatory and user-centered design of information systems. In this paper, we provide a framework that supports business executives as well as IT experts on how to cope with and integrate new technologies into organizations, their processes, and their business models. In addition to a comprehensive theoretical overview of the proposed framework, we also provide practical results, since this framework was applied in the course of a service design and engineering research project. A use case of alpine rescue missions serves as an example to demonstrate the practical application of the proposed framework.


Author(s):  
Philipp Gassert

By 1945, the spectre of Americanisation had been haunting Europe for half a century. With the United States still struggling to establish colonial rule over the Philippine Islands, European observers began framing the ‘American challenge’ as a cultural and most of all economic threat to national independence. Controversies about the impact of ‘America’ often served as a stand-in for a more fundamental reckoning with processes of modernisation. The initial period of sustained Americanisation was the 1920s, when American film, music, and automobiles were conquering Europe for the first time. A second heyday of Americanisation ‘from below’ started with the ‘American occupation of Britain’ and that of continental Europe during and after World War II. This article focuses on Western Europe and Americanisation, highlighting Americanisation from above and Americanisation from below. It looks at two concepts that often come up within debates about Americanisation: Westernisation and anti-Americanism.


Author(s):  
Sebastian Schmidt

In the years around the Second World War, policymakers in the United States and Western Europe faced unique security challenges occasioned by the development of new technologies and the emergence of transnational ideological conflict. In coming to terms with these challenges, they developed the historically novel practice in which a state might maintain a long-term, peacetime military presence on the territory of another sovereign state without the subjugation of the latter. Such basing arrangements between substantive equals were previously unthinkable: under the inherited understanding of sovereignty, in which there was a tight linkage between military presence and territorial authority, such military presences could be understood only in terms of occupation or annexation. These “sovereign basing” practices, as I call them, are now central to many aspects of contemporary security politics. This book applies concepts derived from pragmatist thought to a historical study of the relations between the United States and its wartime allies to explain the origin of this phenomenon. A pragmatist lens draws attention to how the actors involved creatively recombined inherited practices in response to changes in the material and social context of action and thereby transformed the practice of sovereignty. The tools offered by pragmatism provide needed analytical leverage over the emergence of novelty and offer valuable insight into the dynamics of stability and change. The practice of sovereign basing, bound up as it is now with the constitution of interests and understanding of how states exercise power, is likely a durable feature of international politics.


2019 ◽  
Vol 27 (4) ◽  
pp. 567-574 ◽  
Author(s):  
Yuan Wang ◽  
Jiao Li ◽  
Lien-Chieh Lee ◽  
Mengyang Wang ◽  
Huibin Du

Leontief’s input–output model (IOM) is a widely applied method for tracing energy or emissions embodied in economic activities. The economic IOM used in environmental science has aroused broad concerns from both economists and environmentalists. The aim of this study is to review the hotspots of application of IOM in the energy and environmental science fields based on a bibliometric method by using co-words network analysis. All 4938 publications in this study were retrieved from Science Citation Index, Social Science Citation Index, Conference Proceedings Citation Index – Science, and Conference Proceedings Citation Index – Social Science & Humanities. The keywords and frequently cited articles were studied to reveal the evolution of hot spots related to IOM applications in the field of energy and environment from 1998 to 2016. The features of the co-words network analysis of keywords were analyzed by four network indicators including modularity, number of clusters, closeness coefficient, and average path length. The results showed that “energy”, “CO2 emissions”, “GHG”, “LCA”, “industrial ecology”, “carbon footprint”, “China”, and “international trade” were the major application fields of IOM. In different stages the boundary of hot spots became overlapped and the whole network tightness became stronger. According to the analysis of frequently cited articles, we found those articles on CO2 or GHG emissions embodied in trade had been the most frequently cited articles since 2007 with negotiations on climate change. Based on our findings, using IOM to analyze important environmental problems is the key point to popularize IOM applications. Future research opportunities exist to apply IOM to wider environment issues, such as combined emissions and resources.


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