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This paper explores how blockchain technology can enhance information quality within project management information systems (PMIS), thereby positively affecting knowledge management, learning capabilities and project portfolio success.

We employ a literature review and a theory-based approach to develop a conceptual framework and set of propositions that integrate key principles from blockchain technology, project management and dynamic capabilities theory. Subsequently, a focus group is conducted to refine our propositions, providing insights and examples demonstrating the potential value of blockchain in project management.

The findings suggest that blockchain significantly impacts the information quality within PMIS. This improvement in information quality enhances traceability, reliability and security of project data, facilitating better decision-making and governance. The focus group revealed blockchain’s benefits in managing confidential data and streamlining knowledge sharing processes, ultimately contributing to project portfolio success.

This research offers a novel conceptual framework and original insights into the application of blockchain in project management, particularly within the context of Industry 4.0, paving the way for future research on digital transformation in project management.

This paper advances the understanding of how blockchain technology enhances the quality of information within the supply chain by employing the information-processing view as a theoretical lens.

Our research begins with a review of the existing literature and formulates a set of propositions. We then employ a positivist case study approach in various industries across Europe, the USA and Argentina, encompassing agriculture, fisheries, e-commerce and pharmaceuticals, to empirically investigate these propositions.

Our study confirms that blockchain enhances the dimensions of information quality by reinforcing traceability and transparency. Nevertheless, the degree of traceability and transparency depends on the supply chain’s internal processes, blockchain configurations and willingness to share information. Moreover, blockchain does not ensure perfect information security, lacking guaranteed immutability and decentralization in present supply chain applications. Furthermore, the integration of complementary technologies with blockchain to reconcile the divide between physical and digital realms remains largely untested, introducing uncertainty about its influence on information accuracy. Consequently, this study cautions against viewing blockchain as a wholesale replacement for inter-organizational trust.

Blockchain technology is widely regarded as having substantial potential to revolutionize supply chain information systems. However, only a limited number of studies have critically examined the value added by blockchain within an inter-organizational context.

This paper aims to provide a systematic review of the literature addressing blockchain technology (BT) in general management and economics (GME).

A systematic literature review methodology is used to collect and analyze the literature.

Three clusters of research are identified, namely, law, economy and innovation. The use of BT in law areas fosters the registration of intellectual property (IP) rights, although conflict between some of BT applications and regulatory frameworks is present. Research on cryptocurrencies is of high interest to the economy today. In the innovation cluster, BT improves security, traceability and transparency in operations over supply chains. However, BT has many technical imperfections that hinder its wide adoption. Furthermore, the need for the full commitment of all business actors complicates its implementation. Research on BT is still at a nascent stage. Conceptual papers dominate the literature (18 theories are discussed). Eight main future research directions are described. For example, the relationship between the use of BT in supply chains and competitive advantage is not established; and quality standards for BT platforms are not developed.

The review is restricted to academic journals in the fields of GME, which limits the extent of the conclusions.

The paper synthesizes 47 studies published in academic journals, avoiding misleading claims and inaccurate information insofar as possible; and provides a spectrum of descriptive statistics and qualitative meta-synthesis analysis of the current literature.

Despite the increasing use of home delivery (HD) in e-commerce, no studies have explicitly examined consumer perceptions of the convenience of the last-mile delivery of goods by cargo bike (CB). Therefore, this study aims to identify the dimensions of HD convenience and to develop a reliable and valid measurement tool, namely the Home-Delivery Convenience via Cargo Bike (HDCCB) scale.

The methodology of this scale development study is premised on a review of the existing literature, which identifies differences in consumer perceptions of the convenience of services. The authors conducted semi-structured interviews with 10 online consumers and validated the content with 3 experts on marketing in the retail and services sectors in order to develop the items for the scale. Thereafter, the authors identified the main dimensions through an exploratory factor analysis that the authors applied to an online survey with 116 respondents. Finally, the scale was validated through a confirmatory factor analysis of an online survey with 300 respondents.

Following the original work of Brown (1990), the authors define consumer perceptions of HD convenience as a multidimensional construct and measure each facet of its four dimensions, which are time, use, execution and acquisition. E-retailers and last-mile logistics providers could use the authors' proposed measurement tool to assess consumer perceptions of the convenience of HD. That assessment could generate a competitive advantage.

This study is original as the study deepens the existing understanding of consumer perceptions of the convenience of HD by CB in last-mile logistics. This study also develops a multidimensional measure that is based on an empirical study.