Leaders in industrial marketing research: 25 years of analysis

Valenzuela-Fernández, Leslier; Merigó, José M.; Nicolás, Carolina; Kleinaltenkamp, Michael

doi:10.1108/jbim-12-2018-0367

Cited by 7 publications

(5 citation statements)

References 36 publications

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“…The findings from the analysis also have some limitations due to the methodological constraints that resulted from the research design and from our sample. As WoS is constantly being updated with new literature, the data collected for this study represents a “snapshot” of journal articles in the database during the period of data collection (Valenzuela-Fernandez et al , 2020). Further additional works, such as conference papers and book chapters, may have provided further evidence of knowledge structure, but were not considered in this paper.…”

Section: Findings and Discussionmentioning

confidence: 99%

A review of business model research: what next for industrial marketing scholarship?

Coombes

2022

JBIM

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Purpose The purpose of this paper is to present the findings of a bibliometric analysis of the evolution and structure of business model research in industrial marketing scholarship during the period between 2011 and 2020 and to discuss potential directions for future empirical research. Design/methodology/approach Bibliometric methodologies are deployed to objectively evaluate the business model research that has made the most impact within industrial marketing scholarship as well as the prominent scholars and key topics driving the discipline at points in time. Findings The findings demonstrate the formative but increasing engagement that industrial marketing scholarship has had with business model literature and the limited but increasing degree that business models have influenced industrial marketing literature. Potential directions for the empirical development of business model literature are argued to lie in the areas of collaboration and coopetition by examining the notion of value within the relationships, interactions and/or networks evidenced in European seaports business models. Research limitations/implications Bibliometric analysis is retrospective in nature so developments in the literature appear only after some time has elapsed. Different keyword selection when formulating search strings for sampling may have brought some deviations in the analysis. Originality/value Research that investigates the link between business models and industrial marketing is still scarce. This paper is among the few that analyze objectively the evolution and structure of business model literature in industrial marketing scholarship from a longitudinal perspective with a particular emphasis on the period between 2011 and 2020.

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Section: Findings and Discussionmentioning

confidence: 99%

A review of business model research: what next for industrial marketing scholarship?

Coombes

2022

JBIM

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“…In the second stage, mapping the state of the art, the objective is to identify patterns and discover trends. To this end, a knowledge structure was sought by using bibliometric techniques such as co-word, co-citation, and thematic maps (Valenzuela-Fernández et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Entrepreneurship and the gig economy: A bibliometric analysis

Silva¹,

Moreira²

2022

cuadernosgestion

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There is an increasing number of academic publications on studying the impact of the gig economy and digital platforms. Some of them involve entrepreneurship and business models. However, there is a lack of a global picture depicting the scientific structure of knowledge regarding the gig economy and entrepreneurship. This paper presents a conceptual, intellectual, and social bibliometric overview, using Bibliometrix and Biblioshiny (R-packages). To this end, total of 345 published articles were analyzed, covering 245 sources, 44 countries and 751 authors. There are several important findings: five main clusters emerged from the study (Self-employment and social economy; Sharing economy and sustainable development; Entrepreneurship and innovation; Gig economy and platform economy; and Digitalization); the main themes that emerge deal with sharing, gig, and platform economy, digitalization, teleworking, career participation and platforms; finally, gig workers are key for developing strategies, policies, and actions to achieve a social welfare through entrepreneurship in the platform ecosystem. It is also important to highlight the role of communities and social capital in the development of sustainable collaborative initiatives through digital entrepreneurship.

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“…A search on the Scopus database using the words “Visualization of Similarities” and VOSviewer returned eighty-two documents [ 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 , 153 , 154 , 155 , 156 , 157 , 158 , 159 , 160 , 161 , 162 , 163 , 164 , 165 , 166 , 167 , 168 , 169 , 170 , 171 , 172 , 173 , 174 , 175 , 176 , 177 , 178 , 179 , 180 , 181 , 182 , 183 , 184 , 185 , 186 , 187 , 188 , 189 , 190 , 191 , 192 , …”

Section: Introductionunclassified

Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities

et al. 2023

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Among the most relevant themes of modernity, using renewable resources to produce biofuels attracts several countries’ attention, constituting a vital part of the global geopolitical chessboard since humanity’s energy needs will grow faster and faster. Fortunately, advances in personal computing associated with free and open-source software production facilitate this work of prospecting and understanding complex scenarios. Thus, for the development of this work, the keywords “biofuel” and “nanocatalyst” were delivered to the Scopus database, which returned 1071 scientific articles. The titles and abstracts of these papers were saved in Research Information Systems (RIS) format and submitted to automatic analysis via the Visualization of Similarities Method implemented in VOSviewer 1.6.18 software. Then, the data extracted from the VOSviewer were processed by software written in Python, which allowed the use of the network data generated by the Visualization of Similarities Method. Thus, it was possible to establish the relationships for the pair between the nodes of all clusters classified by Link Strength Between Items or Terms (LSBI) or by year. Indeed, other associations should arouse particular interest in the readers. However, here, the option was for a numerical criterion. However, all data are freely available, and stakeholders can infer other specific connections directly. Therefore, this innovative approach allowed inferring that the most recent pairs of terms associate the need to produce biofuels from microorganisms’ oils besides cerium oxide nanoparticles to improve the performance of fuel mixtures by reducing the emission of hydrocarbons (HC) and oxides of nitrogen (NOx).

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Leaders in industrial marketing research: 25 years of analysis

Cited by 7 publications

References 36 publications

A review of business model research: what next for industrial marketing scholarship?

A review of business model research: what next for industrial marketing scholarship?

Entrepreneurship and the gig economy: A bibliometric analysis

Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities

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