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Decentralised autonomous organisations (DAOs) are internet-native self-governing enterprises where individual groups, communities, agencies, consumers and providers work together using blockchain-led smart contracts (SCs). This study aims to examine the role of DAO marketplaces in technology-led autonomous organisation design for enterprise technology sourcing industries, with algorithmic trust and governance.

The authors examined the importance of an enterprise marketplace governance platform for technology sourcing using DAO as a decentralised/democratised business model. A total of 98 DAO products/services are evaluated across 11 industries that envisage DAO as a strategic choice for the governance of decentralised marketplace platforms.

The research findings validate how a DAO-led enterprise marketplace governance platform can create a cohesive collaboration between consumers (enterprises) and providers (solution vendors) in a disintermediated way. The proposed novel layered solution for an autonomous governance-led enterprise marketplace promises algorithmic trust-led, self-governed tactical alternatives to a strategic plan.

The research targets multiple industry outlooks to understand decentralised autonomous marketplace governance and develop the theoretical foundation for research and extensive corporate suitability.

The research underpinnings boost the entrepreneurs’ ability to realise the practical potential of DAO between multiple parties using SCs and tokenise the entire product and service offerings over immutable ledger technologies.

To the best of the authors’ knowledge, this research is unique and the first of its kind to study the multi-industry role of algorithmic trust and governance in enterprise technology sourcing marketplaces driven by 98 decentralised and consensus-based DAO products across 11 industries.

Today most public sector purchasing processes are in transition. In the face of growing uneasiness by elected officials, service delivery managers, and citizens about rule-driven processes, inefficient systems, and poor management of resources, purchasing professionals are being challenged to develop new dynamic, adaptable structures. In this article, the current state of decentralization is examined and the roles of purchasing professionals in the purchasing process are presented. Specifically, this research attempts to answer the following questions: What changes have governments implemented in policy making, organization structure, personnel recruitment and training, expenditure authorization levels, review and oversight as they decentralize purchasing authority? And, what are the projected trends that will impact the success or failure of the decentralization issues over the next decade?

The purpose of this paper is to explore a manufacturer's strategy to coordinate efforts of multiple suppliers' involvement in the product development process. The paper also proposes critical factors in determining the appropriate coordination strategy.

Based on the synthesis of the literature and relevant theories, a typology of coordination strategies is developed. Propositions are developed pertaining to the performance implications of the coordination strategies and the key determinants of the effectiveness of the coordination strategies.

Four ideal types of coordination strategies are: centralized‐programming, centralized‐feedback, decentralized‐programming, and decentralized‐feedback. Prior research and recently reported industry examples indicate that a manufacturer's coordination with multiple suppliers varies in terms of the information‐processing structure and the locus of control. The effectiveness of a manufacturer's coordination strategies is influenced by the extent of component modularity, product complexity, technology uncertainty, and the technical capability of suppliers.

The four coordination strategies involve trade‐offs on certain performance dimensions. Decentralized‐programming promotes process efficiency, while centralized‐feedback facilitates problem solving. Centralized‐programming favors integrative product design, while decentralized‐feedback favors innovation from supplier's technical expertise.

While research on supplier involvement in product development has primarily focused on a single supplier's integration in the process, this paper extends understanding of multi‐organizational coordination by applying information‐processing decision‐making theories to the product development context.

The purpose of this paper is to focus on organizational flexibility and explore its antecedents, organizational structure, and processes, as proposed by network organization theories. The study also explores the possible moderating effects of power distance (Pd) and cultural diversity.

Using self-report data from three different multinational military exercises and one laboratory experiment, the paper explored the relationships between perceptions of flat organizational structure, decentralized processes, and flexibility. The data from each of these studies were analyzed both separately and together.

The analyses revealed that decentralization had the most consistent relationship to organizational flexibility across each of the four studies. Moreover, when the data were analyzed conjunctively, significant positive relationships between decentralization and flexibility and between flat structure and flexibility were observed. No moderating effects of Pd or cultural diversity were found.

The results suggest that decentralizing processes and creating flatter hierarchies may contribute to achieving higher levels of organizational flexibility in military organizations.

The paper contributes to empirical support for the central theoretical propositions of network organizational literature, including moderating factors that are essential in multinational organizational contexts.

The platform economy reflects the business model of some of the largest and fastest-growing firms in the economy. Platform business models emerge and thrive because of the potential profit in taking advantage of transactions cost reductions to connect people for mutual benefit, and this value creation is best understood by thinking about the epistemology of decentralized market processes. Three essential aspects of knowledge are relevant to platform business models: (1) knowledge can be private and diffuse; (2) knowledge can be contextual; and (3) knowledge may not exist outside of the economic process. After defining and analyzing the technology, economic, and institutional aspects of platforms the author defines and applies market epistemology to explore how platforms harness technological and organizational features to create value-enhancing market platforms by exploiting the epistemic benefits of technology-enabled decentralized market processes. The author concludes by using this epistemic framework to propose an electricity distribution platform business model – the retail electricity industry is undergoing a process of technological dynamism, and as a regulated infrastructure industry, evolving into a decentralized market industry is presenting challenges to which this epistemic framework can bring increased understanding.

This paper aims to explore the problem of power imbalance within decentralized autonomous organizations (DAOs) and propose potential solutions that could contribute to enhancing the democratic nature of DAOs.

In this paper, the authors apply a qualitative methodology. Using a thematic coding analysis, the authors process data collected from interviews with 11 experts.

Multiple factors contribute to the perceived lack of democracy within DAOs, such as token concentration and effective stakeholder communication. Next, quadratic voting has the potential to enhance democracy within DAOs, but this mechanism must be implemented mindfully. Finally, the results were nuanced when it comes to the effectiveness of liquid democracy in DAOs to enhance voter participation and representation.

To the best of the authors’ knowledge, this paper is one of the first research contributions to propose recommendations to address the power imbalance within DAOs and to contribute to the advancement of decentralized decision-making structures.

Pandemics are a serious challenge for humanity, as their social and economic impacts can be tremendous. This study aims to understand how innovation based in the sharing economy (SE) business models can contribute to overcoming the challenges arising from the Covid-19 pandemic.

Following a netnographic approach, the authors studied the computer-mediated social interactions of internet-based virtual innovation communities.

This study found that the SE business models contribute to overcome the challenges of the Covid-19 pandemic by redistributing idle resources to lessen the impacts of confinement. This was achieved through process innovations and an innovative use of the network, which enabled fast-open and decentralized innovation processes, and quick implementation of innovations. This innovation process is based on a decentralized decision-making approach, clear rules, informal relationship among community members and open communication channels, as well as in evasive strategies to avoid facing challenges, institutional restrictions and barriers in the adoption of innovations.

This study was limited to a virtual innovation community of highly specialized and educated experts and nine community projects focused on institutional contexts of a developed country. Future research should focus on the institutional contexts of less specialized communities and developing countries and study other community innovation projects in pandemics to understand the processes of fast-open, decentralized and evasive innovation and the importance of relational capabilities for innovation in digital contexts.

The findings can guide innovation managers and public policymakers in implementing effective strategies and policies to overcome pandemic challenges using SE business models. This research also provides important insights into the types and processes of innovation in organizations that create solutions to overcome social and business challenges during pandemics. In addition, this study highlights the contributions of netnographic approaches to conducting research on innovation and in pandemic periods when measures of confinement are in place.

This study uses an innovative framework to map the types of innovation and highlights two different types of innovation processes.

The purpose of this conceptual paper is twofold: to investigate the nature of corporate social responsibility (CSR) initiatives, and to discuss the effects that several factors have on CSR outcomes by drawing on concepts from organization theory.

A qualitative approach is used, wherein the authors review the extant literature on CSR theory with the goal of expanding upon theoretical perspectives underlying this area of research.

The findings show that both initiation and implementation influence CSR outcomes, and that these processes vary based on the degrees of centralization and routineness. In addition, the “fit” between the problems and the processes used influences the benefits of CSR. In short, the authors show that not all CSR initiatives are created equally.

This paper does not address the potential magnitude of fit, only the direction of fit, and does not consider other factors that would play a role in successful initiation and implementation. It does not consider nor estimate the costs associated with different approaches to CSR activities. Lastly, it does not consider the history of an organization when discussing various CSR structures.

This study enriches CSR literature by filling the gap in the extant CSR literature and by proposing a more holistic view to CSR initiatives. The authors offer six propositions that purport the effects that various factors – (de)centralization, fit, CSR–human resources synergies, transformational leadership and pride – have on a company’s CSR activities and recruitment efforts.

The purpose of this paper is to open up the research and development (R&D) organisation by separating product and process innovation and exploring these activities in terms of the structural variable of centralisation versus decentralisation.

Case studies of three multinational firms, representing food and beverage, mining and minerals, and pulp and paper industry.

Dual structures may exist within the R&D organisation, one for product innovation and one for process innovation. Consequently, it is suggested that the conventional notion of R&D organisational design, equating R&D more or less with product innovation, does not present a complete picture for many firms.

Opening up the R&D organisation will help further the understanding link between the organisational structuring of product and process innovation, and the efforts of organisations to develop resources and competitive advantages.

The findings have implications for managing the strategy‐organizational fit concerning innovation in process industry.

The conventional view regarding R&D as a single entity – either centralised or decentralised – does not present a complete picture. This paper clarifies the link between strategic innovation determinants and the organisational configuration of R&D.

Contemporary organizations with multinational business activities must strive to achieve strategic responsiveness to thrive and survive as they operate across a highly dynamic and complex global business environment. Here we emphasize the importance of combining the slow analytical strategy processes at headquarters with the fast autonomous responses taken by frontline agents in the subsidiaries in view of the changing conditions. New business developments are observed first in the fast activities around the multinational periphery where updated experiences from ongoing responses create useful insights that can be used strategically if management at headquarters is cognizant about its existence and able to collect this information. We introduce the notion of democratizing the strategic engagement of managers and employees at all levels and locations of the multinational corporation (MNC) as an essential leadership paradigm. The implied interaction between slow central analytical reasoning at headquarters and updated insights from fast decentralized initiatives in local subsidiaries constitutes an effective dynamic responsive mechanism. This dynamic interaction implies that critical strategic decisions made in the MNC must be informed by the diverse updated insights of managers and employees operating on the corporate frontlines tapping into the crowd wisdom readily available in and around the organization.