PurposeThis paper aims to epistemologically extend and explore the present theories from prior research conducted in the area of responsiveness. Furthermore, it determines to benchmark the prominent theories, characteristics, context and methodologies (TCCM) used in the domain since its inception to advance the science and practice of marketing and logistics discipline.Design/methodology/approachA seven-step methodology (SSM) has been introduced to create a comprehensive dataset. Based upon the selection criteria of high-ranked journals and language, the research studies have been retrieved from Scopus, Web of Science, Business Source Complete and journal homepage to avoid the error of exclusion. Moreover, the dataset has been compiled using manual and electronic searches without any limitation of time.FindingsThe search for a suitable dataset retrieved 642 documents by identifying “1969” as the beginning year of research in the subject domain. The analysis found that responsiveness has been prominently studied in the manufacturing industry. The results also advocate responsiveness as the vital antecedent to performance and satisfaction. Frameworks have been proposed with significant propositions for future empirical testing and theory inventiveness by researchers.Originality/valueThe study pioneers its utility for retailers to recognize the firms' inherent abilities and strengths, which can be promoted to create responsiveness more than ever. The analysis results can act as the compelling force to understand the driving power of various factors influencing responsiveness.

PurposeThe ease and convenience of online shopping are shifting the customers to e-tailers. This has prompted offline retailers to re-examine behavioural patterns along with a reconfiguration for a responsive retail model. The paper investigates the influence of responsiveness on customer satisfaction, cross-buying behaviour, revisit intention and referral behaviour.Design/methodology/approachData were collected via a survey answered by 793 fashion customers from India, and for data analysis, partial least square structural equation modelling (PLS-SEM) was employed. Path analysis was used to determine the interrelationships amongst the constructs used in the study.FindingsThe standardized path coefficients depict competitive responsiveness as the highest contributor of retailers' responsiveness followed by service responsiveness, employee responsiveness and customer responsiveness. The findings suggest that customer satisfaction acts as the biggest contributor to referral behaviour followed by cross-buying behaviour and revisit intentions.Originality/valueThis study has made a substantial contribution to fashion apparel retailing. The findings revealed that responsive retailing influences the customers' post-purchase behaviour as they engage in more cross-buying, revisiting and referral behaviour. The retailers are encouraged to carefully monitor their preparedness to deliver a combination of sensory, emotional, cognitive and social experience to their customers.

Purpose Social enterprises (SEs) operate with a primary goal of meeting a social purpose while creating economic wealth for the fulfillment of their primary mission. These organizations need to develop a certain set of capabilities that facilitates the successful pursuit of their dual mission goals. This paper aims at exploring the micro-foundations of dynamic capabilities (DCs) that enable SEs to recognize and exploit opportunities and reconfigure their resources to pursue their dual-mission goals and adjust with the environmental dynamics. Design/methodology/approach This study uses a multiple case design and an abductive research approach to conduct an in-depth and in-due course investigation of the development of DCs in two distinct SEs selected on the basis of theoretical-purposive sampling and availability of the richness of the information about them. Findings This study finds certain generic and exclusive micro-foundations of DCs that contribute to sensing opportunities, seizing opportunities and reconfiguring resources in SEs. The exclusive micro-foundations of DCs of SEs noted in this study are sustainability of beneficiaries, involving beneficiaries in decision-making, defining unique business models and selective suppliers for critical resources. Research limitations/implications The limitation of this study lies in its dependence on retrospective data, which may perhaps influence the comprehensiveness and accuracy of the acquired data. This study, although, implemented the measures to minimize the bias, by supplementing the interview data with archival sources. Practical implications To the researchers, this study proffers an in-depth and in-due course explanation of the micro-foundations of DCs that facilitate SEs to sense opportunities, seize opportunities and reconfigure their resources with time. To practitioners working in the area of social entrepreneurship, this process study is an outline of reference that answers the how and why concerning the importance of micro-foundations of DCs for SEs. Originality/value To the best of the authors’ knowledge, no prior study has explored the micro-foundations of DCs in the context of SEs from emerging economies. The exclusive micro-foundations of DCs for SEs found in this study are the unique and original contribution that outlines the path for future academic inquiry in this evolving research area.

Before the COVID-19 pandemic, Indian firms have focused on interconnected and lean supply chains to ameliorate the gaps through increased efficiency of supply chains. However, the pandemic has exposed most Indian firms to severe supply chain disruptions (SCDs) due to undiscovered supply chain vulnerabilities. Against this background, we reviewed the existing relevant literature on SCDs and transportation disruption in general context and pandemic specific context and identified that there exists very little research on this issue especially in the context of Indian firms, and offered policy options by developing a new model of robust transport and advanced logistics system (ALS) for speedier supply chains recovery (SCR). We have utilized and analyzed the rich available literature on SCDs, transport intelligence (TI), and ALS using gray literature. The study revealed that many Indian firms have experienced major disruptions in transportation and logistics services, including impact on transportation and logistics data, time delays, and cargo cancellations due to cramped freight capacity, restricted circulation, closure of ports, and slow customs clearances. This has also impacted adversely the production and transport consignments including logistics services and led to delays and rerouting to final consumers. With the gradual removal of restrictions, firms are making concerted efforts to recover from SCDs; however, with weak applications of robust TI and ALS, the SCR is relatively very slow. This called for a review of current transport and ALS used by priority firms. Therefore, we offered a new model for addressing the SCDs using robust intelligence transportation systems and ALS.

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