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Based on an exploratory case-based approach, the purpose of this paper is to open the KM black box and examine the relationships that link knowledge management (KM) inputs (i.e. knowledge resources and KM practices) via knowledge processes to KM performance. This paper aims to identify the underlying mechanisms and explain how KM performance is enabled.

This in-depth case study conducted at a medium-sized consultancy in the supply chain management industry empirically examines knowledge flows to uncover the relationships between KM inputs, knowledge processes and KM performance. We adopt the viable system model (VSM) as a theoretical lens to identify KM mechanisms.

By identifying six KM mechanisms, we contribute to the theoretical understanding of how KM inputs are interconnected and lead to KM performance via knowledge processes.

Based on the insights gained, we provide propositions that organizations should consider in designing viable KM. Our findings help organizations in understanding their KM with the help of knowledge flow analysis and identifying how critical KM elements are interconnected.

This paper aims to define hybrid reality (HyR) as an ongoing process in which artificial intelligence (AI) technology is gradually introduced as an active stakeholder by using reasoning to execute real-life activities. Also, to examine the implications of social responsibility (SR) concepts as featured in the HyR underlying common framework to progress towards the redefinition of global society.

A combination of systemic tools is used to examine and assess the development of HyR. The research is based on evolutionary and learning concepts, leading to the new meta-system development. It also builds upon the viable system model and AI, invoking SR as a conceptual framework. The research is conducted by using a new approach: using system dynamics based interactions modelling, the following two models have been proposed. The state-of-the-art HyR interactions model, examined using SR concepts; and a SR concept-based HyR model, examined using a smart vehicle case.

In the HyR model, interaction asymmetry between stakeholders is identified, possibly leading to pathological behaviour and AI technology learning corruption. To resolve these asymmetry issues, an interaction model based on SR concepts is proposed and examined on the example of an autonomous vehicle transport service. The examination results display significant changes in the conceptual understanding of transport services, their utilisation and data-sharing concepts.

As the research proposal is theoretical in nature, the projection may not display a fully holistic perspective and can/should be complemented with empirical research results.

For researchers, HyR provides a new paradigm and can thereby articulate potential research frameworks. HyR designers can recognise projected development paths and the resources required for the implication of SR concepts. Individuals and organisations should be aware of their not necessarily passive role in HyR and can therefore use the necessary social force to activate their status.

For the first time, to the best of the author’s knowledge, the term HyR is openly elaborated and systemically examined by invoking concepts of SR. The proposed model provides an overview of the current and potential states of HyR and examines the gap between them.

Artificial intelligence (AI) reasoning is fuelled by high-quality, detailed behavioural data. These can usually be obtained by the biometrical sensors embedded in smart devices. The currently used data collecting approach, where data ownership and property rights are taken by the data scientists, designers of a device or a related application, delivers multiple ethical, sociological and governance concerns. In this paper, the author is opening a systemic examination of a data sharing concept in which data producers execute their data property rights.

Since data sharing concept delivers a substantially different alternative, it needs to be thoroughly examined from multiple perspectives, among them: the ethical, social and feasibility. At this stage, theoretical examination modes in the form of literature analysis and mental model development are being performed.

Data sharing concepts, framework, mechanisms and swift viability are examined. The author determined that data sharing could lead to virtuous data science by augmenting data producers' capacity to govern their data and regulators' capacity to interact in the process. Truly interdisciplinary research is proposed to follow up on this research.

Since the research proposal is theoretical, the proposal may not provide direct applicative value but is largely focussed on fuelling the research directions.

For the researchers, data sharing concepts will provide an alternative approach and help resolve multiple ethical considerations related to the internet of things (IoT) data collecting approach. For the practitioners in data science, it will provide numerous new challenges, such as distributed data storing, distributed data analysis and intelligent data sharing protocols.

Data sharing may post significant implications in research and development. Since ethical, legislative moral and trust-related issues are managed in the negotiation process, data can be shared freely, which in a practical sense expands the data pool for virtuous research in social sciences.

The paper opens new research directions of data sharing concepts and space for a new field of research.

E-business maturity models have been widely used to guide the process of digital transformation of business. However, these models have been criticized for their predominantly technocentric approach, which is poorly suited for SMEs. The purpose of this paper is to produce a holistic, nonlinear e-business development model for SMEs that takes into account the interactions of the organization in the pursuit of its business objectives.

Based on the literature review, this paper proposes a nonlinear digital development model for SMEs that factors in the interactions between digital technologies and organizational processes. The model is applied to three cases using a qualitative research approach.

The analysis of the cases demonstrates how the model recognizes that SMEs have an agile and flexible operating structure and reduces the role of technology in order to refocus the entrepreneurs on the relationship among business goals, organizational capabilities and communication requirements.

The proposed model helps the business owners to clarify and better understand what kind of interaction levels exist between the relevant actors in the pursuit of the firm's goals and to identify the best mix of digital and nondigital communication methods to support their work. It also assists policymakers to overcome technological bias when assessing the current state of play of e-business development in the SME universe and formulate actions that support the development of digitally oriented SMEs.

This paper proposes a novel, nonlinear, interaction-based development model for SMEs in order to complement previous technocentric models focusing mainly on a mechanist perspective of e-business maturity models.

The purpose of this paper is to highlight the importance of “freedom of science” (“academic freedom”) for the advancement of society and mankind, which, however, is permanently endangered by powerful organisations, groups and individuals, who in pursuit of their one-sided interests are seeking to constrain information about the truth. As a broad term, freedom of science embraces freedom in research, learning, teaching and publication. All of these activities should be dedicated to identifying the truth and learning about the truth.

Three theoretical approaches are of importance for framing issues related to freedom of science, which in this paper are integrated into the framework of mindset agency theory: freedom is a value; “freedom” is claimed by agents who pursue specific interests (goals), which might constrain others; and individuals are agents who are interacting with each other within a social system – cooperation, ignorance or conflict.

Freedom as a value is at the core of intellectual autonomy. Intellectual autonomy is a necessary condition for innovation and advancement of knowledge. The observable modes of interaction/coexistence among researchers are influenced by individual research goals and by the researchers’ access to resources, which may be deliberately constrained by opponents or other researchers as competitors.

For further research, which is beyond this paper, the authors can refer to: analyses of challenges of “academic freedom” – in terms of ethics, protection of individual human rights, political pressures and conflicts of interests; the issues of truth, i.e. the impact of fake news and creation of “alternate facts”; and the relation between academic freedom and employment (academic tenure) in present-day societies. Owing to lack of space, this paper cannot deal with the danger emerging from powerful organisations or powerful individuals, who are challenging freedom of science.

If there is no freedom of science then social progress is constrained. If there is no access to right data, decisions will be wrong.

So far, a comprehensive cybernetic model was not published, which supports systems thinking about scholars and teachers (inter)acting in research organisations.

This paper aims to enlarge ongoing debate about corporate social responsibility (CSR) proposing reflections about the role of cognitive and information flows in influencing companies’ approaches and market expectations related to CSR.

The paper builds upon the research streams related to the information asymmetry and cognitive distance, for identifying through the interpretative lens provided by systems studies, possible key drivers on which policymakers, researchers and practitioners should act for building a suitable, shared and long-term oriented path for CSR.

The paper defines a scenario map about CSR in the light of information asymmetry and cognitive distance. Such a map supports both researchers and practitioners in better understanding actions and paths required for building a shared approach to CSR.

Recognizing the multidimensionality of CSR and the multiple managerial and organizational contributions provided for underling its advantages for companies, the paper focuses the attention on the elements and conditions able to promote, stimulate and encourage companies’ CSR strategies.

The paper provides a fresh conceptual framework for explaining conditions and elements required for ensuring the success of strategies for CSR. Adopting a systems view, the paper overcomes the limitations related to a reductionist view about advantages and results of CSR to call the attention on the conditions that should be met for ensuring the emergence of a shared approach to CSR.

Technology-enabled business-to-business (B2B) services contribute the largest share to GDP growth and are fundamental for an economy’s value creation. This article aims to identify key service- and digital technology-driven B2B innovation modes and proposes a research agenda for further exploration.

This conceptual paper adopts a techno-demarcation view on service innovation, encompassing three core dimensions: service offering (the service product, or the “what”), service process (the “how”) and service ecosystem (the “who/for whom”). It delineates the implications of three digital technologies – the internet-of-things (IoT), intelligent automation (IA) and digital platforms – for service innovation across these core dimensions in B2B markets.

Digital technology has immense potential ramifications for value creation by reshaping all three core dimensions of service innovation. Specifically, IoT can transform physical resources into reconfigurable service products, IA can augment and automate a rapidly expanding array of service processes, while digital platforms provide the technical and organizational infrastructure for the integration of resources and stakeholders within service ecosystems.

This study suggests an agenda with six themes for further research, each linked to one or more of the three service innovation dimensions. They are (1) new recurring revenue models, (2) service innovation in the metaverse, (3) scaling up service innovations, (4) ecosystem innovations, (5) power dependency and lock-in effects and (6) security and responsibility in digital domains.

The purpose of this paper is to investigate possible improvements in the pursuit of the sustainable development goals (SDGs) by multinational enterprises (MNEs) through an analysis of the literature.

A critical framework based on Gleicher’s formula for change is provided after conducting a systematic literature review.

The best way to pursue the SDGs is through an integrated approach that recognises the importance of MNEs in terms of possibilities and power of action. Working towards the SDGs appears to be largely limited by three aspects of the problem: its complexity and wickedness, the genuine interest in reaching some SDGs, at the expense of profit and low foresight.

A fundamental limitation of the study concerns, as in most of the literature on the matter, the impossibility of providing an optimal solution to the problem of meeting the SDGs, given their nature. However, formulating the best definition of the problem and its characteristics can contribute to making its management better.

This study has social implications due to the extreme importance that many SDGs have with regard to democracy and social equity, beyond their environmental and economic aspects.

The claimed contribution is the value brought by the synthesis of several points of view, through the interdisciplinary analysis of the research question. The novelty consists in organising the literature according to the formula for change.

The purpose of this paper is to understand the strategic management of a technology-enabled shift from a product-centric to a service-centric logic and to identify the sociotechnical dynamics underlying this transition. The study focuses on how manufacturers manage to create value in industrial markets through digital servitization.

An abductive research approach is used to investigate two manufacturing firms, and an interpretive framework is used as an analytical template. A cross-case analysis is conducted.

The case companies strategically managed sociotechnical processes of digitization to co-create value. Their service orientation delineates dissimilarity in terms of digital servitization. It reflects a viable ecosystem that moves toward datatization through adaptation in one case and a viable ecosystem that moves toward digitization through reconfiguration in the other case.

A theoretically grounded, empirically informed framework is proposed to detect transformational mechanisms to manage value co-creation in digitally servitized contexts, thus contributing to ecosystem viability.

This is the first study to adopt a system perspective such as the viable system approach combined with service-dominant logic to reconceptualize the overall sociotechnical processes and the underlying mechanisms leading to digitized value creation. In line with a systems view and a systematic process based on a transformative attitude toward digital servitization, the empirically informed framework identifies specific co-creation activities and recursive feedback loops.

This paper aims to assess the impact of digital financial innovation on financial system development in Common Market for eastern and Southern Africa (COMESA). This paper evaluates the dynamic relationship between digital financial innovation measures and financial system development using time series data from COMESA countries for the period 1997–2019.

A dynamic autoregressive distributed lag model (ARDL) was adopted and the mean group (MG), pooled mean group (PMG) and dynamic fixed effect (DFE) of the model were estimated to evaluate the short- and long-run impact. In addition, the dynamic generalized method of moments (DGMM) was adopted for a robustness check. The Hausman test results show PMG to be the most consistent and efficient estimator, while the coefficient of lagged dependent variable of different GMM is less than the fixed effect coefficient, and, as such, suggests system GMM is the most suitable estimator. Data for the study were sourced from World Bank Development Indicator (WDI, 2020), World Governance Indicator (WGI, 2020) and World Bank Global Financial Development Database (GFD, 2020).

The result shows that digital financial innovation significantly impacts financial system development in the long run. As such, the evidence revealed that automated teller machines (ATMs), point of sale (POS), mobile payments (MP) and mobile banking are significant and contribute positively to financial system development in the long run, while mobile money (MM) and Internet banking (INB) are insignificant but exhibit positive and inverse relationship with financial development respectively. Further investigation revealed that institutional quality and a stable macroeconomic environment including their interactive term are significantly imperative in predicting financial system development in the COMESA region.

Researchers recommend a cohesive and conscious policy that would checkmate the divergence in the short run and suggest a common regional innovative financial strategy that could be pursued to incentivize technology transfer needed to promote financial system development in the long run. More so, plausible product and process innovations may be adapted to complement innovative institutions in the different components of the COMESA financial system.

Digital financial innovation services if well managed increase the inherent benefits in financial system development.

To the best of the authors’ knowledge, this paper presents new background information on digital financial innovation that may stimulate the development of the financial system, particularly in the COMESA region. It also exposes the relevance of digital financial innovation, institutional quality and stable macroeconomic environment as well as their interactive effect on COMESA financial system development.