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This research examines how to enhance financial performance (FP) through the interplay between information technology and their suppliers in the supply chain. On this, the research objective is to assess the role of integration with suppliers (IWS) and integration by suppliers (IBS) in the interface between integrated information technology (IIT) and FP in the supply chain.

A theoretical model was designed, and hypotheses were tested with structural equation modelling and qualitative data from a survey of 205 multi-industry companies from Egypt.

The findings indicate that IIT has a positive significant relationship with financial performance, in this case, partially mediated jointly by IWS and IBS.

This study contributes to the literature by establishing a measurement approach for the proposed duality of supplier integration. A crucial implication of this duality is the requirement of IWS and IBS to enhance the effect of IIT on FP in supply chain partnerships and the fact revealed in our research that IWS precedes IBS in supply chains.

This conceptual paper provides an overview of eye-tracking technology (ETT) as a process-tracing method to study children’s consumer behavior. This paper aims to provide a literature review of the child as consumer-focused eye-tracking research, identifying theoretical and research gaps. This paper discusses the benefits, drawbacks and ethical implications of ETT and highlights opportunities and best practices for future research.

This paper details eye movement and how ETT captures it. This paper delivers a typology of different approaches to eye-tracking research and presents information about ETT equipment and metrics. This paper also summarizes previous studies using eye tracking to study children. This paper concludes with research questions and topics for future research where ETT can be used to study child consumers in contexts such as playing advergames, using social media and shopping (in-person and online).

ETT is commonly used to assess children’s behavior in a variety of contexts but has scarcely been used to study children’s consumer behavior. ETT has great potential to be used to better understand children as consumers.

To the best of the authors’ knowledge, this is the first paper to review using ETT to study children’s consumer behavior.

The existing literature highlights challenges in measuring social impact within social and solidarity economy organisations, particularly regarding the social return on investment (SROI) methodology. This paper aims to address the barriers to SROI implementation while exploring the potential of artificial intelligence (AI) in enhancing the measurement of social impact.

This review-based paper synthesises research on SROI methodology limitations and recent AI developments while focusing on ethical considerations. Drawing from these domains, the study constructs a conceptual framework to guide future research.

The study identifies necessary enhancements to existing AI systems for social impact measurement and explores how advances in generative AI could refine current tools and address SROI constraints. It advocates for open AI models to address ethical concerns.

This study pioneers the integration of social impact assessment and AI, an innovative intersection in the academic literature. The growing disparity between academia and the rapidly evolving AI industry is highlighted and scholarly discourse is enriched through theoretical deliberations and innovative technological solutions.

A debate on whether new ventures should be supported with public funding is taking place. Adopting a position on this discussion requires rigorous assessments of implemented programs. However, the few existing efforts have mostly focused on regional cases in developed countries. To fill this gap, this paper aims to measure the effects of a regional acceleration program in a developing country (Medellin, Colombia).

The economic notion of capabilities is used to frame the analysis of firm characteristics and productivity, which are hypothesized to be heterogeneous within the program. To test these relationships, propensity score matching is used in a sample of 60 treatment and 16,994 control firms.

This paper finds that treated firms had higher revenue than propensity score-matched controls on average, confirming a positive impact on growth measures. However, such financial growth is mostly observed in service firms rather than other economic sectors.

Further evaluations, with a longer period and using more outcome variables, are suggested in the context of similar publicly funded programs in developing countries.

These findings tip the balance in favor of the literature suggesting supportive programs for high-growth firms as opposed to everyday entrepreneurship. This is an insight, especially under the context of an emerging economy, which has scarce funding to support entrepreneurship.