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In these economically and ecologically challenging times, the purpose of this paper is to investigate how innovation theory can be used to design more effective, proactive B2B green marketing strategies in order to meet the triple bottom line of economic, social, and ecological sustainability.

This conceptual paper provides a literature review of green marketing strategies and competitive advantage, and relates it to diffusion of innovation theory in a new way. First, a brief overview is described of corporate social responsibility (CSR) theories related to green marketing, with this paper providing value by adding innovation theory to address the gap in the literature. Next, a discussion is provided on reactive and proactive B2B green marketing strategies, degrees of innovation, and diffusion theory research, and propositions are developed. Then, a new model is presented on B2B green marketing innovation strategies and competitive advantage. Next, a conceptual analysis is presented using a diffusion of innovation characteristics framework to show relationships of the innovation characteristics with proactive B2B green marketing strategies and competitive advantage.

Five propositions are developed to reflect the relationship of B2B green marketing strategies with types of innovations and competitive advantage. In addition, a conceptual analysis found seven areas of B2B proactive green marketing strategies related to the diffusion of innovation characteristics. Findings also showed diffusion characteristics are associated with 11 key benefits of sustainable B2B green marketing competitive advantage.

Limitations and managerial implications are discussed. Also, this paper suggests recommendations related to diffusion of innovation characteristics in future research.

This paper provides a diffusion of innovation characteristics framework to test the effectiveness of B2B green marketing strategies and to help generate competitive advantages in an ecologically‐sustainable way. Managerial implications are discussed on how organisations can achieve successful competitive advantage while contributing to environmental sustainability for the common good of society.

This study addresses a gap in the literature on environmental/green marketing by being the first study to expand the CSR category of instrumental theories to include diffusion of innovation theory. Diffusion of innovation theory is applicable to green marketing because it includes new innovations (products, services, processes, etc.). An application of diffusion of innovation characteristics and their relationship to proactive B2B green marketing strategies can help shed light on how to increase the rate of adoption for green products, services, and processes to create a competitive advantage, and at the same time, help move the world toward greater ecological sustainability.

This paper aims to explore the influence of marketing investment on drug diffusion processes, to analyze the heterogeneity of the diffusion characteristics and to understand the drug diffusion patterns in the prescription and over-the-counter (OTC) markets.

The study introduces marketing investment into the Bass model. The authors use the Generalized Bass Model (GBM) to examine the influence of marketing efforts on drug diffusion in Chinese prescription and OTC markets.

The results of this study suggest that the imitation effect in the prescription drug market is greater than that in the OTC drug market; drug diffusion in the OTC market reaches saturation earlier in the diffusion process. Before reaching the critical state, the effect of marketing investment on drug diffusion in the OTC market is greater than that in the prescription market, and after the critical state, drug diffusion in the prescription market is more sensitive to marketing investment.

The study demonstrates the value of the GBM in empirical analyses of drug diffusion across two distinct markets, and the marketing regulation policies governments adopt have a powerful impact on the speed at which drugs become available in different markets. It enriches the extant product diffusion literature by highlighting the different diffusion patterns of the two segments of pharmaceutical market.

Diffusion of many successful communication technologies, like telephony and television technology, follows an almost perfect S‐shaped curve. This curve implies that, after their introduction, subsequent sales of products on the basis of these technologies can be predicted accurately. However, the diffusion of other breakthroughs in communication technologies, like interactive television, videotelephony or broadband mobile communication technology, shows a more erratic pattern. Introduction of these technologies is often postponed or, once introduced, they are quickly withdrawn from the market after the first disappointing results. Rather than distinguishing alternative patterns, this article shows that the S‐shaped curve and the more erratic patterns represent subsequent phases in one pattern of development and diffusion of breakthrough communication technologies. Three phases are distinguished in this pattern. Managerial implications of the differences between these phases are discussed. the paper shows that a company trying to introduce a new communication technology has to adopt different strategies in each phase.

The purpose of this paper is to bring new empirical evidence to the controversial role of early adopters in the diffusion of innovations in industrial markets.

The authors apply an actor market configuration perspective to the analysis of four longitudinal case studies regarding the commercialization of new products in the textile, plastic and energy industries.

The diffusion of innovation is an interactive and iterative process where the commercializing firm engages in repeated interactions with different categories of companies that are targeted as potential early adopters. This process ends when the commercializing firm identifies a category of early adopters that can stimulate subsequent acceptance in the later market, by playing one of the following two roles, i.e. word-of-mouth trigger and industry benchmark. During this process, through which the role of the early adopters is constructed proactively by the commercializing firm, the product innovation is also subject to changes to provide a better fit with the selected category of early adopters.

The paper calls for a re-conceptualization of the diffusion process, from a passive identification of early adopters to an interactive process that entails a trial-and-error approach in the targeting and involvement of different categories of early adopters, which ends when the innovation reaches the desired levels of diffusion.

The study provides managers with a number of recommendations for selecting the most proper category of early adopters for their innovations, depending on the role they are more likely to play and the influence they will exert on subsequent acceptance in the later market.

The study provides managers with a number of recommendations for targeting, through a trial-and-error process, early adopters and working with them to champion the dissemination of new technologies.

This paper significantly adds to existing literature on the diffusion of innovation, which has up to now conceived early adopters as static and given entities, which cannot be proactively selected by the commercializing firm, and innovation as an immutable object.

This paper aims to develop a parsimonious and innovative model that captures the dynamics of new product diffusion in the recent high-technology markets and thus assist both academicians and practitioners who are eager to understand the diffusion phenomena. Accordingly, this study develops a novel diffusion model to forecast the demand by centering on the dynamic state of the product’s adoption rate. The proposed study also integrates the consumer’s psychological point of view on price change and goodwill of the innovation in the diffusion process.

In this study, a two-dimensional distribution function has been derived using Cobb–Douglas’s production function to combine the effect of price change and continuation time (goodwill) of the technology in the market. Focused on the realistic scenario of sales growth, the model also assimilates the time-to-time variation in the adoption rate (hazard rate) of the innovation owing to companies changing marketing and pricing strategies. The time-instance upon which the adoption rate alters is termed as change-point.

For validation purpose, the developed model is fitted on the actual sales and price data set of dynamic random access memory (DRAM) semiconductors, liquid crystal display (LCD) monitors and room air-conditioners using non-linear least squares estimation procedure. The results indicate that the proposed model has better forecasting efficiency than the conventional diffusion models.

The developed model is intrinsically restricted to a single generation diffusion process. However, technological innovations appear in generations. Therefore, this study also yields additional plausible directions for future analysis by extending the diffusion process in a multi-generational environment.

This study aims to assist marketing managers in determining the long-term performance of the technology innovation and examine the influence of fluctuating price on product demand. Besides, it also incorporates the dynamic tendency of adoption rate in modeling the diffusion process of technological innovations. This will support the managers in understanding the practical implications of different marketing and promotional strategies on the adoption rate.

This is the first attempt to study the value-based diffusion model that includes key interactions between goodwill of the innovation, price dynamics and change-point for anticipating the sales behavior of technological products.

In view of the particularity of innovative product diffusion under the background of market competition, this paper firstly uses consumer behavior theory to logically deduce the dynamic process of consumer behavior from the perspective of experience theory.

Bass and Lotka-Volterra model are used to describe and model the consumers' perceptual behavior in competitive environment. On this basis, interactive modeling technology is used to model and simulate the diffusion process of innovative products. Finally, the validity of the model is verified by comparing two scenarios with an example.

The research shows that the stronger the enterprise's competitiveness, the higher the market share of innovative products, and the positive impact on consumer perceived value, consumer perceived value can promote consumers' second purchase behavior. Positive word-of-mouth and advertising positively affect consumers' purchasing decisions; negative word-of-mouth negatively affects consumers' purchasing decisions.

The interaction modeling technology and AnyLogic software platform are used to simulate the complexity of consumers' experiential perception so as to build the interaction and competition mechanism among different Agent, which realizes the dynamic simulation of the diffusion process of innovative products. This study provides guidance for enterprises to formulate effective marketing strategies.

In industrial markets, different players concur to diffuse the new products and services. However, in high-regulated industries, firms might find substantial limitations to their usual strategies. This paper aims to analyze the strategic marketing approaches adopted by firms to overcome these limitations.

The authors used a case study approach to explore the strategies adopted by two multinational health-care companies to promote their new products in the Italian health-care market.

The two firms adopted three specific strategic marketing approaches: educational activities for all the different players of the market with the involvement of highly reputed partners (e.g. opinion makers, scientific societies and patients’ associations); simulation of the innovation’s impact on the entire system realized; and creation of an ad hoc organizational unit, called market access unit, to deal with the specific issues of this highly regulated market.

The study contributes to the literature on marketing strategies aimed at promoting the diffusion of new products in highly regulated industrial markets by illustrating the strategic approaches that innovative firms can adopt to both achieve regulatory compliance and promote the diffusion of their new products.

Investigates communication and diffusion theory in the industrial sector, an area seldom considered. Examines the evidence from consumer markets and then goes on to extend these approaches for industrial marketing. States that the theory of diffusion of innovations should be modified for industry by the introduction of individual and economic factors; identification of forms of influence of the kind not requiring interpersonal interaction and their effect on the adoption decision; and the development of data. Concludes by questioning the relevance of diffusion to the industrial market if it is not proven to be a systematic predictable process.