Using bibliometric analysis to map innovative business models for vertical farm entrepreneurs

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Paolo Pietro Biancone ◽  
Valerio Brescia ◽  
Federico Lanzalonga ◽  
Gazi Mahabubul Alam

PurposeThis paper aims to explore the literature on vertical farming to define key elements to outline a business model for entrepreneurs. The research aims to stimulate entrepreneurship for vertical farming in a smart cities' context, recognising urban agriculture as technology to satisfy increasing food needs.Design/methodology/approachThe research conducts a structured literature review on 186 articles on vertical farming extracted from the Scopus. Moreover, the bibliometric analysis revealed the descriptive statistics on this field and the main themes through the authors' keywords.FindingsDifferent perspectives showed the multidisciplinary nature of the topic and how the intersection of different skills is necessary to understand the subject entirely. The keywords analysis allowed for identifying the topics covered by the authors and the business model's elements.Research limitations/implicationsThe research explores a topic in the embryonic stage to define key strands of literature. It provides business model insights extending George and Bock's (2011) research to stimulate entrepreneurship in vertical farming. Limitations arise from the sources used to develop our analysis and how the topic appears as a frontier innovation.Originality/valueOriginality is the integration of literature strands related to vertical farming, highlighting its multidisciplinary nature to provide a holistic understanding of the themes. In smart cities' context, innovations allow traditional business models to be interpreted in a novel perspective and revealed the elements for transforming vertical farming from innovative technology to an effective source of food sustenance. Finally, the paper suggests a new methodology application for the analysis of word clusters by integrating correspondence analysis and multidimensional scaling analysis.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Georgiana Ciobotaru ◽  
Stanislav Chankov

PurposeThe paper aims to develop (1) a comprehensive framework for classifying crowdshipping business models and (2) a taxonomy of currently implemented crowdshipping business models.Design/methodology/approachThe business models of 105 companies offering crowdsourced delivery services are analysed. Cluster analysis and principal component analysis are applied to develop a business model taxonomy.FindingsA detailed crowdsourced delivery business model framework with 74 features is developed. Based on it, six distinct clusters of crowdshipping business models are identified. One cluster stands out as the most appealing to customers based on social media metrics, indicating which type of crowdshipping business models is the most successful.Research limitations/implicationsDetailed investigations of each of the six clusters and of recent crowdshipping business model developments are needed in further research in order to enhance the derived taxonomy.Practical implicationsThis paper serves as a best-practices guide for both start-ups and global logistics operators for establishing or further developing their crowdsourced delivery business models.Originality/valueThis paper provides a holistic understanding of the business models applied in the crowdshipping industry and is a valuable contribution to the yet small amount of studies in the crowd logistics field.


2015 ◽  
Vol 4 (1) ◽  
pp. 4-24 ◽  
Author(s):  
Julia Selberherr

Purpose – Sustainable buildings bear enormous potential benefits for clients, service providers, and our society. To release this potential a change in business models is required. The purpose of this paper is to develop a new business model with the objective of proactively contributing to sustainable development on the societal level and thereby improving the economic position of the service providers in the construction sector. Design/methodology/approach – The modeling process comprises two steps, the formal structuring and the contextual configuration. In the formal structuring systems theory is used and two levels are analytically separated. The outside view concerns the business model’s interaction with the environment and its impact on sustainability. The inside view focusses on efficient value creation for securing sustainability. The logically deductively developed business model is subsequently theory-led substantiated with Giddens’ structuration theory. Findings – The relevant mechanisms for the development of a new service offer, which creates a perceivable surplus value to the client and contributes to sustainable development on the societal level, are identified. The requirements for an efficient value creation process with the objective of optimizing the service providers’ competitive position are outlined. Research limitations/implications – The model is developed logically deductively based on literature and embedded in a theoretical framework. It has not yet been empirically tested. Practical implications – Guidelines for the practical implementation of more sustainable business models for the provision of life cycle service offers are developed. Social implications – The construction industry’s impact requires it to contribute proactively to a more sustainable development of the society. Originality/value – This paper analyzes the role for the players in the construction sector in proactively contributing to sustainable development on the societal level. One feasible strategy is proposed with a new business model, which aims at cooperatively optimizing buildings and infrastructures and taking the responsibility for the operating phase via guarantees.


2014 ◽  
Vol 7 (1) ◽  
pp. 47-65 ◽  
Author(s):  
Anton Joha ◽  
Marijn Janssen

Purpose – Shared services are often viewed as a single type of business model but in reality, shared services can be organized in different ways. The goal of this research is to understand the factors influencing the shaping of shared services business models. Design/methodology/approach – Inductive case oriented research is conducted by investigating three different types of shared services arrangements using Al-Debei and Avison's unified framework for business models. Findings – A total of 12 different factors were identified that influence the shape of shared services business models including the path dependency, legal/regulatory driver, customer orientation, target segment, strategic importance, ICT/business orientation, IT governance structure, change strategy, degree of outsourcing, integration potential, economic rationale and the business value. Research limitations/implications – The level of customization and standardization can influence the potential benefits that can be gained from bundling services and it is important to understand the factors that influence this dimension. Practical implications – The appropriate configuration of these factors can be helpful to design shared services arrangements with a balanced degree of standardization and customization. The choices regarding the configuration of these factors could result in a more or less effective functioning business model and could influence the governance processes and mechanisms that need to be put in place. Originality/value – There is no prior research that addresses the shared services business model from a holistic perspective and this research provides a first conceptual model for shared services business models.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sonal Thukral ◽  
Apoorva Jain

Purpose For sustaining a competitive advantage in the integrated world economy, it has become imperative for family firms to internationalise their operations in overseas markets. However, despite the growing set of literature, results are still inconclusive with respect to family firms’ internationalisation. Thus, this study aims to address this gap by systematically reviewing 142 articles (1991–2019) to help researchers in identifying and unfolding the unexplored themes in the underlying area. Design/methodology/approach For systematically reviewing articles, the study uses a three-step methodology following PRISMA guidelines, bibliometric analysis and thematic analysis. Descriptive statistics of 142 research articles are obtained through bibliometric analysis while thematic analysis is carried out to create themes or clusters of various factors relating to family firms’ internationalisation. Findings The current review uncovers the evolving trends in the research streams, most productive authors, top journals and articles, co-citation analysis, as well as the major themes surrounding the family firms’ internationalisation literature. Results from bibliometric analysis indicate that family firms’ internationalisation is an upcoming research area. Also, the review indicates an opportunity for scholars from developing nations to make significant contributions in the underlying research stream. Research limitations/implications Results from bibliometric and thematic analysis will help academicians and researchers in accumulating a holistic understanding relating to family firms’ internationalisation and understanding the upcoming trends in family firms’ research, thereby guiding the future research scope. Also, it will assist the family firms’ leaders and managers in understanding the important dynamics in overseas markets and various factors to be considered while planning their internationalisation. Originality/value Undertaking a systematic literature review presents readers with a state-of-the-art understanding of the underlying research topic. To the best of the knowledge, to date, the study is the first to conduct the review of literature through bibliometric analysis with the help of R Studio software in the field of family firms’ internationalisation. Also, the study is the first to review more than 100 research articles in the underlying area. Finally, the study proposes a comprehensive framework integrating the major themes and facets relating to family firms’ internationalisation.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Phuc Hong Huynh

PurposeDigital innovation and circular business model innovation are two critical enablers of a circular economy. A wide variety of digital technologies such as blockchain, 3D printing, cyber-physical systems, or big data also diverges the applications of digital technologies in circular business models. Given heterogeneous attributes of circular business models and digital technologies, the selections of digital technologies and circular business models might be highly distinctive within and between sectorial contexts. This paper examines digital circular business models in the context of the fashion industry and its multiple actors. This industry as the world’s second polluting industry requires an urgent circular economy (CE) transition with less resource consumption, lower waste emissions and a more stable economy.Design/methodology/approachAn inductive, exploratory multiple-case study method is employed to investigate the ten cases of different sized fashion companies (i.e. large, small medium-sized firm (SME) and startup firms). The comparison across cases is conducted to understand fashion firms' distinct behaviours in adopting various digital circular economy strategies.FindingsThe paper presents three archetypes of digital-based circular business models in the fashion industry: the blockchain-based supply chain model, the service-based model and the pull demand-driven model. Besides incremental innovations, the radical business model and digital innovations as presented in the pull demand-driven model may be crucial to the fashion circular economy transition. The pull demand–driven model may shift the economy from scales to scopes, change the whole process of how the fashion items are forecasted, produced, and used, and reform consumer behaviours. The paths of adopting digital fashion circular business models are also different among large, SMEs and startup fashion firms.Practical implicationsThe study provides business managers with empirical insights on how circular business models (CBMs) should be chosen according to intrinsic business capacities, technological competences and CE strategies. The emerging trends of new fashion markets (e.g. rental, subscription) and consumers' sustainable awareness should be not be neglected. Moreover, besides adopting recycling and reuse strategies, large fashion incumbents consider collaborating with other technology suppliers and startup companies to incubate more radical innovations.Social implicationsAppropriate policies and regulations should be enacted to enable the digital CE transition. Market patterns and consumer acceptances are considered highly challenging to these digital fashion models. A balanced policy on both the demand and supply sides are suggested. The one-side policy may fail CBMs that entail an upside-down collaboration of both producers and consumers. Moreover, it is perhaps time to rethink how to reduce unnecessary new demand rather than repeatedly producing and recycling.Originality/valueThe pace of CE research is lagging far behind the accelerating environmental contamination by the fashion industry. The study aims to narrow the gap between theory and practice to harmonise fashion firms' orchestration and accelerate the transition of the fashion industry towards the CE. This study examines diverse types of digital technologies in different circular business models in a homogeneous context of the fashion industry with heterogeneous firm types.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raghu Nandan Chawla ◽  
Praveen Goyal

PurposeUbiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.Design/methodology/approachBy performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.FindingsThe study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.Research limitations/implicationsThe study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.Practical implicationsFor the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.Originality/valueThis study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olu Oludele Akinloye Akinboade ◽  
Trevor Taft ◽  
Johann Friedrich Weber ◽  
Obareng Baldwin Manoko ◽  
Victor Sannyboy Molobi

Purpose This paper aims to understand social entrepreneurship (SE) business model design to create values whilst undertaking public service delivery within the complex environments of local governments in South Africa. Design/methodology/approach Face-to-face semi-structured interview was conducted with 15 purposively selected social entrepreneurs in Gauteng and Western Cape provinces. The interview guide consisted of main themes and follow-up questions. Themes included SEs’ general history, the social business model; challenges faced and how these were overcome; scaling and growth/survival strategies. These enabled the evaluation of SEs in terms of identifying key criteria of affordability, availability, awareness and acceptability, which SEs must achieve to operate successfully in low-income markets. Social enterprise owners/managers within the electricity distribution, water reticulation and waste management services sectors were surveyed. Findings Most respondents focus on building a network of trust with stakeholders, through communication mechanisms that emphasize high-frequency engagements. There is also a strong focus on design-thinking and customer-centric approaches that strengthen value creation. The value creation process used both product value and service value mechanisms and emphasized quality and excellence to provide stakeholder, as well as societal value, within their specific contexts. Practical implications This study builds upon other research that emphasizes SEs’ customer-centric approaches to strengthen value creation and on building a network of trust with multiple stakeholders. It contributes to emphasizing the business paradigm shift towards bringing social values to the business practice. Social implications Social good, but resource providers are demanding more concrete evidence to help them understand their impact (Struthers, 2013). This is because it is intrinsically difficult for many social organizations to document and communicate their impact in more than an anecdotal way. The research has contributed to the understanding of how SEs can provide evidence of value creation. Originality/value This study contributes to the understanding of how business models are designed to create value within the context of the overwhelming complexity of local government services in South Africa.


2018 ◽  
Vol 33 (6) ◽  
pp. 749-767 ◽  
Author(s):  
Seppo Leminen ◽  
Mervi Rajahonka ◽  
Mika Westerlund ◽  
Robert Wendelin

Purpose This study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems. Design/methodology/approach The paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases. Findings The study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures. Research limitations/implications Identifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations. Practical implications The study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model. Originality/value This paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.


2006 ◽  
Vol 34 (5) ◽  
pp. 34-40 ◽  
Author(s):  
George Pohle ◽  
Marc Chapman

PurposeTo ascertain whether the choices CEOs were making about particular types of innovation and key enablers had any correlation with financial performance, IBM looked at a subset of our sample where publicly reported financial information was available.Design/methodology/approachThe findings in this report are based on in‐depth, consultative interviews on the topic of innovation with 765 CEOs, business executives and public sector leaders from around the world.FindingsFor a subset, the authors compared their financial performance to that of an industry‐accepted list of their nearest competitors (up to ten companies with similar revenue and publicly available information). Some of their competitors were CEO study participants, but most were not. By taking a five‐year view, the researchers were able to identify which companies outperformed and under‐performed the average revenue growth, operating margin growth and historical operating margins of their closest competitors.Research limitations/implicationsThroughout the analysis, IBM used these top‐half and bottom‐half groupings to look for notable financial correlations. In this report, the term outperformers refers to the study participants that are in the top 50 percent based on this competitive comparison, and under‐performers are those that fall in the bottom 50 percent.Practical implicationsThe authors report on how business leaders are seeking and finding new ways to adapt their business models to remain competitive in their current industry – or to seek growth by entering new industries.Originality/valueCompanies focusing on business model innovation have enjoyed significant operating margin growth, while those using products/services/markets and operational innovation have sustained their margins over time.


2018 ◽  
Vol 46 (4) ◽  
pp. 21-27 ◽  
Author(s):  
Vladyslav Biloshapka ◽  
Oleksiy Osiyevskyy

Purpose Defines clear steps for growth planning that support answers to the crucial question: How and where are you planning to scale up the business and what talent do you need to implement this? Design/methodology/approach As the “Business model value matrix” shows, having ‘happy customers’ is only one determinant of a business model’s success. The other essential block of diagnostic questions deals with the current state and prospects of the firm’s growth. Findings We found that companies that have found ways to keep their business models in a winner’s state can provide clear, evidence-based answers to questions about growth opportunities and risks, while their less successful peers have difficulty addressing the issues. Continuous collecting and analyzing of this information allows successful companies to embrace the strategy-as-learning model of development, built around active learning and proactive adjustment to evolving environment. Practical implications To develop a strategy for moving to and sustaining the Winner state, managers must clearly articulate and test a set of hypotheses about the mechanisms of their company’s growth. The first step on this path is related to obtaining a clear view on the factors that underpin the current financial performance. Originality/value High-performance cultures make sure that each manager has the clear answers to the questions of value, growth and digitization in order to learn, experiment and implement the company business model agenda. The unproductive cultures, on the other hand, are sustained by managerial teams that usually do not have the answers to these crucial questions, but are very good at political games.


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