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Scholars in social sciences tend to use the term of path dependence without explaining exactly what they mean by it. Path dependence is a useful approach to understand the success or otherwise of the implementation of management innovation. The aim of this paper is to identify under which conditions it makes sense to talk about path dependence, and the relevance of using path dependence to the analysis of management innovation.

The path dependence literature in different contexts and knowledge areas within social science is reviewed using a narrative approach.

The concept of path dependence can be used to study management innovation, particularly when analyzing the introduction of new management practices. The authors argue that the order in which management practices are introduced has a profound effect on the outcomes for the organization. When the appropriate practices are introduced first, these create enhanced capabilities for the implementation of subsequent practices. If inappropriate practices are rolled out, they may severely impede management innovation and thus evolution and change of the firm.

This work highlights the need to conduct further research to understand the interaction between existing practices and the new ones. This study can be extended with an empirical work to corroborate the results presented here.

By reviewing the different definitions of path dependence that exist in the literature, this paper will stimulate a debate on the necessary and sufficient conditions of path dependence and encourage a greater level of clarity in the management innovation area.

The increased digital interactions in the B2B industry have enhanced the importance of customer engagement as a measure of firm performance. This study aims to map and analyze temporal and spatial journeys for customer engagement in B2B markets from a bibliometric perspective.

The extant literature on customer engagement research in the B2B context was analyzed using bibliometric analysis. The citation analysis, keyword analysis, cluster analysis, three-field plot and bibliographic coupling were used to map the intellectual structure of customer engagement in B2B markets.

The research on customer engagement in the B2B context was studied more in western countries. The analysis suggests that customer engagement in B2B markets will take centre stage in the coming times as digital channels make it easier to track critical metrics besides other key factors. Issues like digital transformation, the use of artificial intelligence for virtual engagement, personalization, innovation and salesforce management by leveraging technology would be critical for improved B2B customer engagement.

The study provides a comprehensive reference to scholars working in this domain.

The study makes a pioneering effort to comprehensively analyze the vast corpus of literature on customer engagement in B2B markets for business insights.

The purpose of this paper is to establish a reference model that will allow us to understand the factors that influence the omnichannel management of an organization in a business-to-business (B2B) context.

In building the model, a partial least squares structural equation modeling approach was followed. More than 1,000 executives with a C-level profile (chief executive officer, chief marketing officer or chief digital officer), from manufacturers and wholesalers, in various industries worldwide were contacted. The final sample consisted of 124 C-level executives in multinational B2B companies from 35 countries worldwide.

The principal finding is that optimal omnichannel management must involve a customer-centric proposition forming the basis for individualized marketing that tailors the company’s portfolio of solutions to suit each client. To ensure this, customer knowledge at each touchpoint is essential. The results show that the main predictor of B2B omnichannel management is sales and marketing, even above channels. The principal conclusions are that the model shows that good omnichannel performance is measured by the performance of the industrial buyer. Loyalty and experience are primary measures of this customer’s performance.

Research into omnichannel management in the B2B field is scarce, especially concerning the creation of models for decision-making.

This paper aims to analyse the viability of production processes in the framework of three industries, referred to here as “automotive”, “machine-tool” and “other transport material”. This idea is of interest as a result of the cognitive convergence that has arisen from the widespread of information and communication technologies in the technical solutions used by most of the product fields that make up the manufacturing industry.

Under the framework of evolutionary theory and based on the cognitive composition of the technical solutions used by the industries studied, this paper has drawn up technology profiles for those industries from the viewpoint of formal logic. These profiles will help us to analyse their potential and difficulties so as to bridge the cognitive gap and enabling them to access new paths and set up processes to diversify their output. Interviews with company management staff and high-ranking experts have provided us with highly useful information to help us complete the theoretical reflection and check it against expected behaviour patterns.

The results confirm that firms in the industries studies find it difficult to drive forward diversification processes. The analysis provides a theoretical explanation for the empirical results that can be found in the literature on the extent to which path dependency processes explain technology dynamics.

The limitations of this study lie on the one hand in the small number of firms interviewed (it would be useful to extend the sample to include other medium- and high-technology industries to see whether the results are confirmed) and on the other hand, in the possibility that the Covid-19 crisis may affect results, investment decisions and access to financial resources, and thus, upset plans for diversification.

There is a consensus that decision-making in general, and in management in particular, is plagued by unpredictability, risk and uncertainty (Baldwin et al., 2005; Bergh et al., 2011). Managers making deliberate strategic choices – which usually require long time horizons and involve high risk (Perello-Marin et al., 2013) – need to know whether the competitive future of their firms lies mainly in product innovation (diversification), in process and organisational innovation, in the internationalisation of production, in mergers or in other, alternative paths (Sydow et al., 2009). This study presents empirical evidence of the possibilities and difficulties faced by firms based on their technology profiles. This is a complex approach that calls for more research effort if it is to become an option for enhancing resilience and flexibility at firms and strengthening their ability to react to changes. According to Raynor (2002) diversification, understood dynamically, provides a way for companies competing in especially turbulent industries to hedge against uncertain future reconfigurations of industry boundaries. Palich et al. (2000) state that compared with single-business firms, firms engaging in related diversification are able to exploit synergies across product units by consolidating business activities in manufacturing, marketing, raw material purchases and R&D, and thus, achieve both scale and scope economies.

The manuscript is absolutely original in terms of its approach and design and sets out to analyse industrial diversification processes on the basis of the cognitive characteristics of the technical solutions used by the various industries.