PurposeBy using the lens of knowledge-based view (KBV) and focusing on individual loci of knowledge, the present study addresses whether marketing knowledge management (MKM) is rooted in individual dynamic capabilities (DCs) and consequently whether it has a close relationship with the three main DCs, namely, the ability to solve a problem (substantive capability); the adaptation to rapid changes (adaptative capability); and the ability to change the way individuals solve problems (change capability).Design/methodology/approachThe present study aimed to examine the effects of MKM (the quantitative variable) on DCs (the quantitative variables). Drawing on the relevant literatures, the researchers have developed a model that defines the subjects of the empirical test. To do this, the authors opted for a hypothetico-deductive approach, which is commonly used in quantitative studies. The empirical analysis involved a linear regression and a sample of 105 managers of Italian companies operating in the knowledge intensive sector.FindingsSubstantive, adaptive and change capabilities were all positively correlated with MKM. The results indicate the significant need for individual DCs to improve business performance in terms of creativity, innovation, and flexibility in response to market changes.Originality/valueThe authors show that individual MKM has a strong relationship with individual DCs when the employees have the capacity to solve problems, adapt, and change. In turn, managers are strategically creative and imagine future possibilities in the international marketing sphere. This includes procedures and routines to learn in local markets. The study also stresses the fact that individuals represent the primary loci of knowledge.

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Purpose – The purpose of this paper is to explain the emergence and existence of retro-industries. The paper proposes using a multidisciplinary approach to define the concept of retro-industries and to identify its specificities. Design/methodology/approach – Literature reviews in marketing and economics were used to create a model of innovation adoption and diffusion in retro-industries. Findings – The paper provides theoretical insights about the factors that foster retro-industries such as heritage, tradition, nostalgia and revival. The paper suggests that these factors influence innovations mechanisms and explain the use of the past to manage the challenges of the future. Originality/value – The paper enriches an identified need to analyse industry from retro perspective; and to identify the factors that foster the emergence of such industries.

Purpose Big pharma, which comprise the most important companies in the pharmaceutical sector, are ambidextrous organizations by nature. Big data can heavily influence this characteristic by simultaneously requiring adequate business process management. In fact, the impact of big data on business process management can assist big pharma in increasing process efficiency (which is related to the research and development pipeline) and process efficacy (related to product portfolio management). The purpose of this paper is to investigate this possibility and opportunity. Design/methodology/approach In the absence of specific scientific studies, as indicated by a review of the existing literature, the authors have adopted a grounded theory approach. This research has observed multiple cases (the 15 most important big pharma companies worldwide) through an electronic survey conducted on secondary data. The study has allowed the generation of a theoretical framework based on the (direct) relationship between knowledge process standardization (as the dependent variable) and big data (as the independent variable) in organizations oriented toward ambidexterity, such as big pharma in the specific scope of this research. Findings As big data utilization becomes widespread along the pipeline (or even along the value chain/supply chain), business process management increasingly uses (or tends to use) standardization, adopting process standardization as the main coordination mechanism to manage big knowledge. This theory is even more true when considering the moderating role of ambidexterity. An enterprise oriented toward structural ambidexterity (such as big pharma) that uses big data will require increased process standardization to manage big knowledge. Alternatively, an enterprise oriented toward contextual ambidexterity that uses big data will require increased output standardization. Originality/value Based on an analytical literature review, no research to date has focused strict attention on the influence that big data can have on business process management to improve the natural ambidexterity of big pharma. The main unique feature of this research relies on this point. The main value of the research originates from the theoretical framework reconstructed by grounded theory, which constitutes a powerful strategic tool to support executives and managers of big pharma in organizing business process management for their ambidextrous organizations using big data.

This study attempts to enhance our understanding of why some third age individuals develop intentions towards entrepreneurship. Based on the Theory of Planned Behaviour and its three antecedents of entrepreneurial intentions, this study contributes to the literature on psychological drivers of entrepreneurship among the elderly. Our results among 204 French individuals between 45 and 65 years old show that posterity positively moderates the relationship between entrepreneurial attitudes and entrepreneurial intentions, and negatively moderates the relationship between social norms related to the creation of new firms and entrepreneurial intentions. Our study offers interesting insights concerning entrepreneurship among third age individuals.

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