The digital transformation of manufacturing (a phenomenon also known as “Industry 4.0” or “Smart Manufacturing”) is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field.

Purpose: Retail customers are now omnichannel both for attitude and behavior. Since individuals interact with multiple touchpoints throughout their shopping journey, retailers must consider all channels holistically as consumers do, in order to provide them with a unified shopping experience. Thus, recently retailers are showing an increasing interest in the deployment of advanced in-store systems aimed at enhancing the shopping experience by providing customers with innovative tools able to engage them for obtaining deeper insights, saving time and feeling more independent while shopping. Such technologies can help retailers to better react to those emerging settings by: acquiring a positive image and reputation, being perceived as innovator; reducing management costs; maintaining and acquiring loyal consumers; making imitation strategies as difficult as possible for competitors; and reaching a unique and differentiated positioning. The purpose of this paper is to explore whether and how store technology positively affects the customer experience in an omnichannel retail environment and if the early adoption of in-store technology by retailers produces a sustainable competitive advantage. Design/methodology/approach: To achieve the research aim and deeply explore the phenomenon of interest, a multiple-case study involving 15 retailers, operating in different industries of the Italian market, was carried through 80 semi-structured in-depth interviews with store managers and employees. Findings: Results of the content analysis show that customers are increasingly willing to use the in-store innovations in order to obtain richer shopping experiences while retailers achieve a stronger brand loyalty as well as a better and updated brand image. Originality/value: This paper contributes to the relevant literature by proposing two conceptual frameworks. It provides a deeper understanding of possible advantages and threats resulting from early technology adoption by retailers, which is becoming essential for improving the omnichannel customer management and increasing business performance.

Digital platforms have the ability to connect people, organizations and resources with the aim of facilitating the core interactions between businesses and consumers as well as assuring a greater efficiency for the business management. New business concepts, such as innovative start-ups, are therefore created based on innovation, scalability and the relationships within the community around them. The purpose of this work is to deeply understand the evolution of business models brought by innovative and dynamic companies operating through online platforms. In order to achieve the objectives set, an exploratory multiple-case study was designed based on in-depth structured interviews. The aim was to conduct a mixed analysis, in order to rely both on qualitative and quantitative data. The structured interview protocol was therefore designed to collect and then analyse data concerning the company profile and managers’ perspectives on the phenomenon of interest. The interview protocol was submitted in advance and then face-to-face interviews were carried out with the following professional figures: Chief Executive Officer (CEO), General Manager, Chief Technology Officer (CTO), Marketing Manager and Developers. Collected data were analysed and processed through the Canvas Business Model in order to clearly outline similarities and differences among the sample. Results can be considered under two viewpoints. On the one hand, this work provides a detailed overview of the companies interviewed, according to the dimensions of: reference market dynamics, type and number of customers, scalability. On the other one, they allow to identify some success patterns regarding key activities, key resources, channel mix strategy, costs management, value proposition, customer segmentation, key partners and the way to obtain revenues. Results from the multiple-case study with 15 Italian start-ups provide interesting insights by comparing the innovative business models developed and highlighting key differences and similarities. Overall, the start-ups analyzed, operating in several sectors, showed great growth prospects and the possibility to create value for their customers through innovative products and services offered through digital platforms.

The Covid-19 pandemic has globally affected most of the industrial sectors, pushing public and private institutions to invest in digital transformation at a pace never experienced before. In such a turbulent scenario, companies, and especially small and medium-sized enterprise, must dynamically respond to this environment by undertaking a strategic transformation which involves changes in the organisation structure through the right digital interface and mechanisms to creating qualitative customer relationships and capturing value. Business success over time is built on leadership, people-based management, continuous improvements, management based on facts and constant customer focus. The evolutionary path of a firm’s business model driven by digitalisation describes its maturity. This paper aims at assessing the relationship between digital business model maturity and the sustainability of business performance over time. The results of an online survey involving the executives of 162 small and medium-sized enterprise operating in the tourism sector of five different continents have been analysed to test this relationship. Through a Structural Equations Modelling approach, the study found statistical evidence of the positive effect of digital business model maturity on sustainable business success. In this manner, this study contributes to academic literature by linking the concepts of digital transformation, digital business model maturity and sustainable business excellence.

Purpose: The purpose of this paper is to identify and empirically examine the dynamic capabilities (DC) that drive the development of digital manufacturing capabilities (DMC) and the role of DMC in mediating their influence on firm performance.Design/methodology/approach: Based on the dynamic capabilities view (DCV) of the firm, the authors develop a set of hypotheses that are tested through a survey of 110 managers in the manufacturing sector. The hypothesized model is tested through structural equation modeling.Findings: The results indicate that although higher-order DC (HODC) have a strong influence on firm performance, their effects are partially mediated by the DMC that they generate, by positively affecting the extended production process.Practical implications: The analysis contributes to a better understanding of the interplay between levels of the DC hierarchy by finding that DMC play an important role in translating HODC into enhanced firm performance.Originality/value: By complementing the DCV with the disruptive innovation theory in a specific fast changing context, this study introduces a new construct (DMC) providing an original and considerable contribution to the literature. To the best of the authors’ knowledge, it is the first empirical study that includes and assesses all these elements together in the context of the manufacturing industry.