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The purpose of the paper is to provide an initial study on the Italian mobile payment services market, and to identify and assess the main diffusion drivers of mobile payment applications.

The research design integrates an exhaustive census of all Italian mPayment applications and an in‐depth analysis of the most significant cases performed through the case studies methodology: ten user companies or “merchants” and six service providers were analyzed through semi‐structured interviews given to top managers.

Through the census, 21 mPayment applications and related services were identified. In addition to this, the case studies brought greater understanding of the key diffusion drivers: strong inhibitory factors and adoption barriers are still restricting user adoption despite the many benefits related to these services.

The research represents a first, exploratory study of a market at its embryonic stage of development. Nevertheless, given the global magnitude of the Italian mobile telecommunications market and the gradual rise of the mPayment paradigm, the analysis can provide a valuable basis for future studies in the field.

The findings can support a wide set of stakeholders – both first movers and newcomers of the mobile payment segment – in their offer definition and market making choices.

The paper combines a census and a case study methodology to delineate the offer's state of the art for innovative, mobile channel‐based payment services; moreover, its assessment of the applications' core benefits, diffusion drivers and adoption barriers can be tested for generalization to different contexts.

This paper seeks to propose a technology classification model for mobile content and service delivery platforms (MCSDPs), the core of mobile middleware technology providers' (MMTPs) value proposition.

The proposed model is grounded on existing literature and empirical research consisting of 40 in‐depth case studies with MMTPs and 102 semi‐structured interviews with top management from firms operating in the mobile content environment that already own or are interested in purchasing a MCSDP. Theoretical sampling was employed. The quality function deployment (QFD) technique was used to create the final technology classification schema.

The MCSDP technology classification model has three components: a MCSDP functional architecture, which describes platform structure in terms of its endowment of functionalities and capabilities; a MCSD classification schema, which allows the identification of a set of platform categories classified according to the range of functionalities usually possessed; and a technology classification schema consisting of a set of technology dimensions that directly influence platform efficiency and effectiveness.

The proposed model can be used for mapping existing and future MCSDP offer in terms of technological strengths and weaknesses and thus support decision‐making by platform vendors and buyers.

The main contribution is the creation of a reference framework capable of rigorously modelling the emergent phenomenon related to the rise of middleware platform providers within the mobile content environment. The paper also contributes to extending the existing QFD literature, since it demonstrates the house of quality tool's usefulness in a new context of application.

The purpose of this study is to analyze the systematic relationships among dynamic capabilities in startups’ survival.

This study is based on a systematic literature review on dynamic capabilities related to startups’ survival, following the content analysis approach.

This study presents four different perspectives of analysis about dynamic capabilities from resources exchange and business factors that meet needs of startups' survival. It also points out new area for future research in this field. In doing so, this study differentiates itself by its approach not limiting dynamic capabilities research and enriching entrepreneurs' capability theory.

By indicating an evolution of dynamic capabilities theory among tangible and intangible resources exchange in a more favorable adaptation to startups growth, this study boosters and contributes to the society, economy in general and to the science of business management in various perspectives such as overcoming cognitive barriers, entrepreneur’s commitment, innovation capabilities and knowledge capacity of startups.

This study amplifies dynamic capabilities vision in startups’ survival as one of the main sources for growth in this type of organizations. It also develops a deeper understanding about new avenues for dynamic capabilities theory among tangible and intangible resources exchange.

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.

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.

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.

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.

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.

The purpose of this paper is to discover a three-step process for building contextual ambidexterity into inter-organizational IT-enabled service processes through developmental interventions.

A longitudinal action research project was conducted. The empirical study consisted of three consecutive developmental interventions to support the collaborative development effort of an IT company and its customer network to efficiently serve their present and future customers. The data consists of process modeling and simulation workshop discussions, interviews, observation, and archival data. The development effort was studied for over a year.

The study shows that the three developmental interventions acted as a process for balancing the exploration-exploitation tension in inter-organizational service processes. The sequential interventions facilitated the studied organizations in crossing the inter-organizational knowledge boundaries and creating shared domain knowledge, creating common understanding of the collaborative IT-enabled service processes, and co-developing the coordination mechanisms that are essential for the continuous exploration and exploitation of the new ideas in the future collaborative service processes. These three steps built capacity for the inter-organizational management system to achieve synergies between goals, resources, and activities in the inter-organizational collaboration.

The study contributes to the understanding on the process of building inter-organizational ambidexterity. The study presents a three-step process for building inter-organizational contextual ambidexterity into the IT-enabled service processes through developmental interventions. Research on inter-organizational contextual ambidexterity is combined with research on coordination and knowledge management.

The purpose of this paper is to study critical practices when adopting improvement knowledge as a management innovation in a professional organization.

This paper is based on an action research approach, in which practitioners and researchers are seen as a part of a participative community generating actionable knowledge. Research involved gathering data over a five-year period through more than 250 interviews and 25 focus groups.

This paper identifies five critical practices for adopting a management innovation in a professional context: first, focussing on labeling and theorizing to create an organization’s own vocabulary; second, focussing on the role of internal change agents; third, allowing for an evolutionary adoption process; fourth, building new professional competence through the change agents; and fifth, adopting a research-driven approach to the adoption of a management innovation.

For healthcare practitioners, this paper points to practices to consider when adopting improvement knowledge – for example, identifying the patient as the guiding principle and encouraging involvement and local change initiatives. For practitioners in other professionally driven organizations, this paper identifies critical practices for adopting a management innovation – for example, focussing on theorizing and labeling in order to create an organization’s own vocabulary related to the professional context.

On a generic level, this paper contributes to the understanding of critical aspects when adopting management innovations in a professional organization. In a healthcare context, this paper points to the value of improvement knowledge for improving quality of care. Improvement knowledge is relatively new in healthcare, and this study provides an example of a hospital in which this management innovation helped transform the organization.

The purpose of this study is to analyze the relationship between dynamic service innovation capabilities (DSICs) and startup growth in an emerging country.

This paper used a theoretical DSIC model to process data on 137 Brazilian startups, using a stepwise regression.

Service startup growth is related to the capability of enterprises to understand market signals, learn from customers and design a scalable, repetitive and profitable business model.

Despite the innovative nature of startups, this paper found that technological and networking capacities are not a determinant of growth.

Managers should commit themselves to improve their competence in terms of understanding market signals, even when they already have a consolidated business model, products and service offerings. The findings also function as a warning about the dangers of an excessive focus on technological capabilities.

Innovative startups, which achieve high growth create a disproportionate number of new jobs. Hence, by indicating the dynamic capabilities that are more conducive to firm growth, this paper contributes to society and the economy at large.

The findings challenge the myth of technological capacity and networking skills as the main sources of startup growth. This paper shows that founders and managers of service startups who want to achieve rapid growth should concentrate more effort on other skills. Marketing competence and building scalable business models – abilities that are common to successful traditional firms – are more relevant for short-term growth than technological innovation.