This research aims to investigate the adoption gap in mobile payment systems between Italy and China, focusing on users’ intention to adopt mobile payment. The theoretical framing considers both drivers and barriers when combines the unified theory of acceptance and use of technology 2 (UTAUT2) with innovation resistance theory (IRT). To empirically verify the proposed model, this study gathers primary data through a web-based, self-administered survey. To analyze the data, we use structural equation modeling, and to test for significant differences between the two groups we run multi-group analysis. The respondents in Italy and China present different behaviors. Social influence plays a significant role in cultures with high uncertainty avoidance, such as Italy. The tradition barrier is the only significant barrier to the adoption of mobile payment.

Purpose: The literature on entrepreneurial ecosystems is fragmented, and yet, no studies have paid attention to integrating the available studies. The purpose of this study is to provide a systematic review of contributions related to entrepreneurial ecosystems. Design/methodology/approach: This literature review evaluates studies that are covered in the Web of Science index. Findings: In addition to the recent state of research (covering industries, geographical scopes, methodologies, etc.), this study provides an extension of Isenberg’s (2011) model of entrepreneurial ecosystems. Research limitations/implications: A new avenue arises for both conceptual and empirical research by emphasizing crowdsourcing as a contributing element for the entrepreneurial ecosystem. Future studies can evaluate the effectiveness of different types of crowdsourcing profoundly to make sure whether creating a promising ecosystem all types of crowdsourcing have a similar value or impact. Practical implications: For public policy and local decision-makers, both collaboration opportunities and interaction interfaces between the stakeholders of the entrepreneurial need to be reconsidered in the design of entrepreneurial ecosystems. Social implications: Higher degrees of collaboration, information exchange and innovation are likely to yield favorable entrepreneurship environments. Originality/value: Novelty of this study arises from integrating crowdsourcing theory in the systematic review of entrepreneurial ecosystems.

The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. The authors assess papers listed in the Web of Science index. This study identifies the factors that may influence the adoption of big data analytics in various parts of an organization and categorizes the diverse types of performance that big data analytics can address. Directions for future research are developed from the results. This systematic review proposes to create avenues for both conceptual and empirical research streams by emphasizing the importance of big data analytics in improving firm performance. In addition, this review offers both scholars and practitioners an increased understanding of the link between big data analytics and firm performance.

Purpose: – The aim of this paper is to analyze which sustainable supply chain management (SSCM) arguments are addressed in the base of the pyramid (BoP)-related research. BoP projects address how companies contribute to fulfilling the needs of the poorest populations; increasingly, academics are applying theory to explain these projects. The need for integrating the BoP population into value-adding activities is widely acknowledged, but this is not yet reflected in supply chain management (SCM)-related concepts. The links to SSCM are frequently mentioned but in a scattered manner. Design/methodology/approach: – The paper presents a structured literature review of BoP papers published between 2000 and 2014 in peer-reviewed, English-speaking journals available on Web of Science. A content analysis of BoP papers is conducted based on SSCM constructs from the framework presented by Beske and Seuring (2014). Findings: – The frequencies of SSCM constructs identified in the BoP papers indicate the prevalence of SSCM arguments in the BoP discourse. Technological integration emerges as the core SSCM practice frequently identified and is contingent with a number of other practices. Further, SSCM practices including long-term relationship development, partner development, joint development, enhanced communication, learning, stakeholder management and innovation have regularly been referred to and are considered important by respective BoP scholars. The contingency analysis shows significant correlations among various pairs of categories and allows us to point to major lines of related arguments. Research limitations/implications: – The paper offers insights into the potential links between the SSCM and BoP research streams and sets ground for further theoretical exploration of the subject. Limitations are the uptake of one particular conceptual framework, the selection of BoP papers for the review process and the interpretation of the frequency and contingency analysis. The paper offers a foundation for developing a research stream where BoP-related issues are integrated into research on (S)SCM. Practical implications: – SCM has many practical applications, which help to establish and improve supply chain design and operations. This would benefit BoP projects and should improve their practical outcomes. The relevance of technological integration seems straightforward, but needs a lot of effort to be implemented in each single project. Social implications: – BoP-related research has gained increasing attention in recent years and should help drive the global sustainable development agenda further in the respective geographic locations. Establishing capable supply chains that deliver sustainable outcomes will be at the core of such projects. This paper highlights fundamental practices for firms targeting BoP markets with an effort to alleviate poverty. Originality/value: – The paper applies SSCM theory to analyze BoP issues and thereby interlinks the two research streams. Until now, research amalgamating the two concepts has been disconnected. Therefore, by providing an overview of existing publications, more focus for future studies is created, which is valuable and necessary for advancing both fields. Additionally, assessing BoP-type projects in low-income countries will allow the SSCM agenda to look beyond what is so far typically researched.

Purpose: Green supply chain management (GSCM) research is so far dominated by studies focusing on manufacturing companies, while research on retailers is missing. The purpose of this study is to assess the interaction between green in-store activities (environment-related infrastructure and retail in-store processes), GSCM and environmental and economic performance outcomes.Design/methodology/approach: The paper builds on empirical evidence gathered from 190 responses by Croatian food retailers to a self-administered survey. The identified relationships in the conceptual model are tested using partial least squares structural equation modeling.Findings: The results reveal a positive relation between green in-store activities and GSCM in food retailing regarding environmental and economic performance. The relevance of these relationships accrues from the positive association between GSCM and food retailers’ environmental performance, which in turn drives economic performance. It is noteworthy that green supply chain practices drive environmental and then also economic performance.Research limitations/implications: The study extends the application of GSCM to retailing and, therefore, broadens its scope. However, the data collected are based on one country and, thus, should be extended to assess the impact of green retailing practices in the supply chain on environmental and economic performance in other countries.Originality/value: This study, to the best of the authors’ knowledge, is the first empirical analysis on the relationship between green in-store activities and GSCM in the context of food retail. This important link to customers has rarely been explored. Further, the representative sample of food retailers in Croatia is unique as generally data from Central and Eastern European countries are still rare. Finally, the operationalization of GSCM practices into three constructs as green logistics, green purchasing and cooperation with suppliers’ offers conceptual contributions to the GSCM field.

Digitalization has advanced to become an opportunity to spectate sports during the pandemic and its restrictions for traveling to competitions. The purpose of this study is to investigate the antecedents of using virtual reality technology for spectating mega sports events. Based on a literature review, the authors created a model of behavioral intention, built on the unified theory of acceptance and use of technology and technology acceptance model to examine the curiosity and self-construal of spectators. An online survey obtained empirical evidence from 339 sports enthusiasts. The research model was fitted using the partial least squares algorithm. The results show that all the antecedents significantly affected the intention to use a VR device to spectate mega sports events, which explains a significant variance. Surprisingly, influences arising from social norm predominated over those arising from curiosity and the hedonic exploration of VR (enjoyment, and experience). The social norm strongly influences a VR device’s perceived usefulness, implying that people believe using VR will enhance their position in society and that they will thus perceive the technology as being more beneficial. The novelty of this study arises from quantifying the importance of curiosity’s relationship to VR acceptance and pinpointing the relevance of self-construal for VR acceptance.