The emergence of omnichannel retailing has revolutionized the way traditional e‐commerce business operates, subsequently bringing fundamental changes to consumer expectations and decision‐making processes. Despite the unquestionable relevance of this area of inquiry, the focal literature concerning omnichannel retailing remains sporadic and fragmented. With this in mind, the purpose of the current paper is to provide a comprehensive and concise state of the art literature review on omnichannel retailing. More specifically, we engage and draw upon the cognitive‐affective‐conative model to understand consumer behaviour within the omnichannel retailing context. The current study is built based on a review of total 131 research papers that were identified following a comprehensive search of the Web of Science database, capturing the time period between January 2011 and April 2020. This set of work was reviewed thoroughly to explore the aims, methodology and key contributions. In addition to engaging a systematic assessment and rigorous evaluation of the studies, we also extend literature by studying the relationship between omnichannel retailing and consumer decision making, with specific attention to consumer motivation, attitude and behaviour towards omnichannel retailing. Previous studies suggest consumer behaviour in omnichannel retailing to be a promising yet underexplored area with several potential avenues for future research. Among these, particularly lucrative directions include theory‐driven research, comparative cross‐cultural studies and qualitative approaches that capture rich first‐hand accounts of consumer decision‐making encounters. The current paper is timely and advantageous because it offers a holistic picture of omnichannel retailing research and provides literature‐driven evidence about a range of relevant consumer behavioural dimensions. It also integrates consumer responses using the cognitive‐affective‐conative model to advance our understanding of consumer decision‐making in the omnichannel customer journey. Recommendations for future research are provided using the Theory, Methodology and Context (TMC) framework. We conclude the paper by discussing implications for academics and practitioners.

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PurposeThe present study aims to assess the role of supply chain resilience as an operational excellence approach to deal with disruptions caused by coronavirus pandemic in the food supply chain of an agri-food supply firm.Design/methodology/approachThe case study method was used to analyse the disruptions faced by the agricultural food supply chain during the pandemic. The study applies a dynamic capability theory as a foundation to develop a contextualised resilience framework for agri-food supply chain to achieve operational excellence. The case has been analysed by using situation-actor-process (SAP) and learning-action-performance (LAP) framework.FindingsThe SAP aspect of framework points that the flexibility amongst actors for a resilient agriculture supply chain worsened due to the lockdown measures post COVID-19. The LAP aspect of framework suggests how resilience can be built at the supply, demand and logistics end through various proactive and reactive practices such as collaboration, coordination, ICT and ground-level inputs. Lack of commitment and inadequate support from top management towards supply chain resilience are also observed as significant challenges to maintain operational excellence during the pandemic.Research limitations/implicationsOne of the major implications of the study is that a mix of capabilities rather than a single capability can be the most appropriate way for making the supply chain resilient to maintain operational excellence during the pandemic. However, the sources of disruptions need to be duly recognised to derive the best-contextualised resilience framework for agri-food supply chains.Originality/valueThe development of a contextualised research framework as well as research propositions for analysing supply chain resilience are the major contribution of this study.

Purpose – The purpose of this paper is to investigate factors influencing manufacturing flexibility adoption and simultaneously explores some of the key issues prevailing in manufacturing flexibility adoption in Indian context. The study also stratifies critical factors for successful manufacturing flexibility adoption. Design/methodology/approach – Using exploratory sequential design, a series of focus group interviews were conducted with Indian manufacturing professionals and these interviews were supplemented by 127 follow-up structured questionnaires. Findings – Two major themes emerged from the first phase of the study – role played by some of the unexplored antecedents of manufacturing flexibility and key issues in manufacturing flexibility adoption. In the second phase, a list of factors was categorized based on their degree of importance in manufacturing flexibility adoption. Research limitations/implications – Being qualitative in nature, the study suffers from inherent risk of subjectivity associated with manufacturing practitioners. A large-scale survey and rigorous quantitative analysis would be helpful to further validate the list of factors and underlying relationships among proposed factors. Practical implications – The identified list of factors and some of the key issues in manufacturing flexibility adoption can be of great help to practitioners. The stratified list of factors can be further used by academicians to develop an instrument for manufacturing flexibility adoption. Originality/value – The paper identifies a set of factors that affects manufacturing flexibility adoption. It offers a basis for instrument development for manufacturing flexibility adoption and provides direction for future quantitative research in manufacturing flexibility area.

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