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The purpose of this study is to systematically review available state-of-the-art literature on comparative studies on Quick Commerce (Q-commerce) and E-commerce and their greenhouse gas (GHG) emissions.

The literature survey methodology is based on the funneling approach of Kitchenham (2004), where results are obtained according to inclusion and exclusion criteria. The literature review methodology used for this study covers the period from 2016 to 2022. The areas considered for the survey are operations, logistics and supply chain network design for the distribution of goods in e-business. After deciding on the criteria, a total of 140 articles were extracted from 9 journal articles that study e-commerce and environmental emissions.

The result of this study reveals that GHG emissions from both modes of shopping depend on various parameters such as speed of delivery, last-mile depot locations, logistics and vehicle efficiency, customers’ order patterns and average basket size. Furthermore, the findings also highlight the difference between Q-commerce and E-commerce supply chain networks.

This study only accounts for GHG emissions from logistics activities, but there are other sources of GHG emissions in the overall supply chain that are not taken into consideration. Supply chain/business analysts in Q-commerce companies might refer the findings from this study to measure GHG emissions from their operations.

This is the first study in the Q-commerce field that uses a structured approach to find relevant literature from the years 2016 to 2022 and focuses on GHG emission measurement.

This research explores the influence of entrepreneurial orientation (EO) on SMEs located at core and peripheral regions, by focusing on a single dimension of EO: proactiveness. We conducted a quantitative study of 626 Israeli SMEs. Business growth, as measured by the rate of change in number of employees, was found to be significantly higher in the core region. As expected, proactiveness was found to strongly affect SME growth as well as firm expansion to international markets. Our analysis shows that the difference in business growth between regions can be attributed also to a lower level of ownersʼ proactiveness in peripheral regions since it was found to mediate the effect of peripheral location on firm growth. Differences in proactiveness levels may be explained by the historical development of peripheral regions. Our results have useful implications for policies that aim to promote growth and development in peripheral regions.

This study aims to examine how the adoption of digital technologies affects the business competitiveness of countries in Latin American and European countries.

This study used a structural model based on factors representing the pillars of the Global Competitiveness Index: financial system, adoption of information and communication technologies (ICT), skills, labor market, product market, macroeconomic stability, business dynamism and gross domestic product (GDP) purchasing power parity (PPP) as a percentage of the total world value. The authors considered 17 Latin American and 28 European countries. The model was analyzed by partial least squares-structural equation modeling.

ICT adoption in Latin American countries is a strong predictor of business dynamism (66% of the variance), skills (81% of the variance), product market (75% of the variance), labor market (42% of the variance) and financial system (49% of the variance). Similarly, ICT adoption in European countries is a strong predictor of business dynamism (35.6% of the variance), skills (72.2% of the variance), product market (51.6% of the variance), labor market (81.7% of the variance, but with a negative path coefficient) and financial system (38% of the variance).

Latin American countries should create policies to build skills to increase ICT adoption, and improve business and labor market dynamism. A theoretical implication is that the authors propose two structural models based on the GCI that best explains competitiveness in Europe and Latin America.

Using GCI data, the authors present empirical evidence on the predictors of competitiveness across 17 Latin American and 28 European countries with a special focus on the adoption of digital technologies.

This research involves empirical evidence from the Tanzanian context to find out whether participation, trust and transparency have a significant impact on the acceptance of e-government systems.

The research employs a survey of 153 respondents followed by structural equation modelling-variance based (CB-SEM) analysis using PLS 4. The conceptual framework was developed by extending the technology acceptance model (TAM) with additional constructs before testing it in quantitative research.

Results of the model show that the perceived ease of use (PEU) had neither a significant relationship with behaviour intention nor with perceived transparency, while all the other relationships were found to be significant.

Among others, this research provides theoretical underpinnings to the area of acceptance of technologies as well as providing areas for future research and policy implications.

The study presents the relationships involving transparency, trust and participation in e-government systems by the citizens and how they can potentially influence intention to use e-government systems.

The regulatory authorities, mobile service operators and government can use this research to enhance decision-making and governance towards effective use of mobile phone technology in accessing government services.

This research delivers a refined, extended model of TAM that comprises extra constructs, namely, trust, transparency and participation. This model provides the basis for upcoming research in the area of technology acceptance, e-government and in behavioural science.