Purpose: Digitalisation has been identified as a driving force behind retail sector transformation. The purpose of this paper is to provide a deeper understanding of how omni-channel strategies link to the digitalisation phenomenon. The study is explorative in nature and aims to expand existing knowledge by using a business model (BM) perspective. Design/methodology/approach: The study uses a qualitative approach. Data collection involved a questionnaire answered by 13 firms from three retail segments (i.e. fashion, consumer electronics and bookstores and media) and a group discussion with senior managers. The data were complemented with information from websites, applications and available online reports. Findings: The findings present empirical insights about different strategic and BM approaches to omni-channel retailing and highlight examples of pioneering retailers from the Italian market. The proposed framework consolidates earlier studies and puts forward three dimensions for a successful transition to omni-channel retailing BMs: a seamless customer experience, an integrated analytics system and an effective supply chain and logistics. Practical implications: Managers can employ an overview of mobile commerce usage to manage the process of integrating channels, within their BMs, alongside the customer journey. Particular attention should be paid to development and the use of data analytics tools as one of the dimensions with a significant impact on omni-channel management. Originality/value: First, this paper applies a BM perspective as a novel approach for analysing a transition to omni-channel retailing. Second, it is based on empirical analysis of three retail segments, which provide new insights into omni-channel strategies in the retailing literature.

Purpose: The purpose of this study is to provide a review of the emergent literature to advance the current understanding of the business model (BM) concept in a context in which more than one actor is actively involved in the development and delivery of a joint offer based on information and communication technologies. Design/methodology/approach: The paper uses a systematic literature review approach. The review is based on 25 systematically selected publications published from 2000 to 2018 and retrieved from bibliographic databases and through a process of snowballing. Findings: The authors found several alternative conceptualizations of a BM at a network level, which highlighted different elements as core components. Based on this, authors’ findings suggest the literature has a fragmented view of what the BM concept entails at a network level, and of which actors are relevant. Conversely, there is a consensus that a single-firm view is inadequate for describing and studying joint value architectures because of its inability to consider all involved actors and their activities and resources. Therefore, a network-oriented view, as a relational aggregator, is seen as a possible way forward. Originality/value: The study contributes to the current understanding of a BM concept at a network level and suggests three viewpoints from which to interpret value architectures at different levels of analysis: single-firm view, dyadic-level view and network-oriented view. Furthermore, the authors highlight several gaps to be studied and provide avenues for future research opportunities for scholars.

Can automatically authored videos of industrial operators help other operators to learn procedural tasks? This question is relevant to the advent of the industrial internet of things (IIoT) and Industry 4.0, where smart machines can help human operators rather than replacing them in order to benefit from the best of humans and machines. This study considers an industrial ecosystem where procedural knowledge (PK) is quickly and effectively transferred from one operator to another. Assembly tasks are procedural in nature and present a certain complexity that still does not allow machines and their sensors to capture all the details of the operations. Especially if the assembly operation is adaptive and not fixed in terms of assembly sequence plan. In order to help the operators, videos of other operators executing the complex procedural tasks can be automatically recorded and authored from machines. This study shows by means of statistical design and analysis of experiments that expert aid can reduce the assembly time of an untrained operator, whereas automatically authored video aids can transfer PK but producing an opposite effect on the assembly time. Therefore, hybrid training methods are still necessary and trade-offs have to be considered. Managerial insights from the results suggest an unneglectable impact of the choice to digitise industrial operations too early. The experimental studies presented can act as guidelines for the correct statistical testing of innovative solutions in industry.

In this paper we present an octave filter bank. The design of the tree-structured multichannel filter bank has been done using two-channel filter banks. These banks have been used so that the octave bank would have all-pass complementary and power-complementary properties. The design of the banks has been done in MATLAB ® . The application of designed bank is expected in processing of audio signals. Results of a subjective testing have been included in the paper also.