Purpose The purpose of this paper is to investigate the micro-linkages fostering consumers’ e-loyalty in grocery retailers B2C e-commerce context. Specifically, the authors focused on the neglected role of security, privacy and website design. Grocery retailing has been selected as the context of research because grocery retailers too have been required to develop B2C e-commerce platforms to meet their consumers’ evolving preferences. Design/methodology/approach A survey was distributed to several students from University of Florence (Italy). Structural equation modeling was used to compile the research, and its results reflect the impact on e-loyalty development on specific features of the e-commerce environment. Findings The main findings of this research are related with the importance of website characteristics as antecedents of e-loyalty in online grocery retailing. Originality/value Albeit the explored phenomenon has been subject to extensive study, some of its facets are yet to be fully explored. In particular, though the influence of e-trust, e-satisfaction and e-commitment on e-loyalty has been shown, little attention has been paid to the factors affecting these three antecedents of e-loyalty. In this regard, this research focuses on the importance of B2C e-commerce platform characteristics such as security, perceived relationship investment and website design. In addition, the phenomenon was scarcely explored in grocery retailers B2C e-commerce context.

Building on the resource-based view, this study aims to address the scant research on the context-specific microfoundations that impact on internationalisation of SMEs in emerging markets. Therefore, the paper explores managerial resources and dynamic capabilities in three categories of international networking, vision, and experience and competence. In this regard, we employ a mixed-method analysis and focus on Iran as representative of a low supportive institutional context for SME internationalisation belongs to emerging markets. Hence, in qualitative analysis, we utilise multiple case study and conduct ten interviews, which led to the identification of fourteen important managerial resources and capabilities. This is followed by expert-based decision-making approaches, taking advantage of interpretive structural modelling (ISM) and Matrix-based Multiplication Applied to a Classification (MICMAC), which contributed to investigation the relative function of identified factors as well as proposing a conceptual framework for the inter-and cross-relationships among explored drivers in three targeted categories and provides theoretical and practical suggestions.

No abstract

Purpose The purpose of this paper is to explore how big data can shape ambidextrous business process management (BPM) in terms of exploitation and exploration. Design/methodology/approach A qualitative methodology involving case studies has been chosen to explore the impact of big data deployment on exploitative and explorative business processes. Findings The results of case studies offer some opportunities and challenges for service firms related to both the exploitative and the explorative aspects of BPM driven by big data. Originality/value The deployment of big data in business processes has attracted a large amount of interest recently. However, these studies are mostly conceptual, so empirical research about this complex relationship is quite rare, especially research with specific arguments regarding exploitative and explorative activities. This paper aims to fill this gap by offering empirical evidence for big data-driven business processes.

No abstract