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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.

The purpose of this paper is to study the role that a relational variable (trust) and three personal variables (impulsiveness, involvement and innovativeness), may play as antecedents of satisfaction of mobile shoppers.

Quantitative information was collected using a survey instrument directed to Spanish mobile shoppers. In total, 447 valid questionnaires were obtained. Data were analyzed using structural equation modeling.

Trust, involvement and innovativeness were found to have a positive impact on mobile shopper satisfaction, except impulsiveness, which has a negative impact, as the authors proposed.

The study highlights the importance of gaining m‐shopper satisfaction and different ways of achieving this goal, especially, internal influences.

M‐vendors should bear in mind that engendering trust and involvement with the channel is positive if they are to achieve purchaser satisfaction with the medium, whilst encouraging impulsiveness would prove detrimental. It should also be stressed that mobile phone user tendency to make use of new technologies could encourage impulsiveness that might lead to dissatisfaction, but that this innovativeness prompts individuals to take a keener interest in the products and services available over the mobile and ultimately leads them to become more involved.

Mobile commerce Spain is still in its infancy, hence the interest in gaining an insight into the factors which most impact the satisfaction of those who have already purchased using this means. Although research into e‐commerce has increased, few works have dealt with mobile shopping. Innovativeness, impulsiveness and involvement have received little attention in this context.

This paper aims to examine the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research gaps and future developments and designing an agenda for future research.

The study consists of a systematic quantitative literature review of academic articles indexed on the Scopus and Web of Science databases. The articles were reviewed based on the following features: research topic; conceptual and theoretical characterization; sources of data; type of data and size; data collection methods; data analysis techniques; and data reporting and visualization.

Findings indicate an increase in hospitality and tourism management literature applying analytical techniques to large quantities of data. However, this research field is fairly fragmented in scope and limited in methodologies and displays several gaps. A conceptual framework that helps to identify critical business problems and links the domains of business intelligence and big data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big data-driven knowledge are still a terra incognita. Last, despite calls for more integration of management and data science, cross-disciplinary collaborations with computer and data scientists are rather episodic and related to specific types of work and research.

This work is based on academic articles published before 2017; hence, scientific outputs published after the moment of writing have not been included. A rich research agenda is designed.

This study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on business intelligence and big data. To the best of the authors’ knowledge, it is the first systematic literature review within hospitality and tourism research dealing with business intelligence and big data.