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This article presents a General Theory of Social Systems. This general theory proposes a model and method for the design, behaviour, and development of social systems. The model advanced is an exposition of the universal composition of social systems in three‐dimensions. The accompanying prescribed method offers dissection and analysis of past, present, and planned systems from Micro to Meta scales in isolation and relation to external systems.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

The purpose of this paper is to consider the computational tools for solving a strongly coupled multi‐scale problem in the context of inelastic structural mechanics.

In trying to maintain the highest level of generality, the finite element method is employed for representing the microstructure at this fine scale and computing the solution. The main focus of this work is the implementation procedure which crucially relies on a novel software product developed by the first author in terms of component template library (CTL).

The paper confirms that one can produce very powerful computational tools by software coupling technology described herein, which allows the class of complex problems one can successfully tackle nowadays to be extended significantly.

This paper elaborates upon a new multi‐scale solution strategy suitable for highly non‐linear inelastic problems.

Emerging transformative service research (TSR) studies adopt a service system lens to conceptualise well-being across the micro, meso and macro levels of aggregation, typically within an organisation. No TSR has yet examined well-being across multiple interconnected organisations at the highest level of aggregation, the meta or service ecosystem level. This study aims to explore how value co-creation and, critically, co-destruction among different actors across interacting organisations enhances or destroys multiple levels of well-being.

This study uses semi-structured, in-depth interviews to collect data from five types of key actors (n = 35): players, team owners, tournament operations managers, casters and viewers, across 29 interconnected organisations in the oceanic esports industry. The interviews were coded using NVivo 12 and thematically analysed.

Resource integration on each level of aggregation within a service ecosystem (micro, meso, macro and meta) can co-create and co-destroy value, which leads to the enhancement and destruction of multiple levels of well-being (individual, collective, service system and service ecosystem). Value co-creation and co-destruction, as well as the resultant well-being outcomes, were interconnected across the different levels within the service ecosystem.

To the best of the authors’ knowledge, this research is the first to incorporate a multi-actor perspective on the well-being consequences of value co-creation and value co-destruction within a service ecosystem as opposed to service system. Thus, this research also contributes to the minimal research which examines the outcomes of value co-destruction, rather than value co-creation, at multiple levels of aggregation.

This paper aims to examine whether and how internal and external typologies of corporate social responsibility (CSR) and employees’ CSR participation (CSRP) differentially impact organizational citizenship behavior (OCB) and turnover intentions (TI), mediated by meaningful work (MW) and affective commitment (AC) and moderated by CSR motive attributions.

Bootstrapped structural equation modeling using AMOS and mediation and moderation analysis using Hayes’ Process macro in SPSS are performed on a sample of 193 employees from diverse industries in India.

The CSR-work outcomes relationship is rather multifaceted. Internal CSR (ICSR) and CSRP directly promote the meaningfulness of work and AC. Further, all three kinds of CSR (ICSR, external CSR (ECSR) and CSRP) influence work behaviors (OCB and TI) sequentially via MW and AC. Intrinsic (extrinsic) CSR attributions strengthen (weaken) the positive effect of ECSR on MW. Nevertheless, the conditional indirect effects could not be established, warranting further investigation.

The management must elevate employees’ CSR awareness allowing them to partake in the planning and execution of CSR programs that are authentic, righteous and seamlessly unified with core business activities to nurture work meaningfulness and positive employee attitudes and behaviors.

This is the foremost study that involves a bibliometric analysis of employee-based CSR research and a systematic meta-analytic review of the relationship between CSR and meaningfulness from employees’ perspectives. The present study is novel as it divulges an integrative framework about how employees’ CSR perceptions, participation/volunteering and attributions collectively influence the work outcomes at three levels (namely, cognitive, attitudinal and behavioral), drawing on sensemaking, needs and justice-based views, social identity, social exchange and attribution theories. Thus, new nuances are added to extant micro-CSR literature.

The purpose of this paper is to explore the role of middle managers in the corporate entrepreneurship process that drives new capability development. Middle managers are highlighted as key entrepreneurial agents because of their special position in an organization.

The paper draws on existing capability development and corporate entrepreneurship literature and develops a conceptual model and research propositions that are illustrated through three examples from a Chinese private firm.

This paper contends the dual role of middle managers, both as change implementers to follow pre-set rules of an existing corporate entrepreneurship system and as change initiators to bring new rules to improve the existing system.

The paper is conceptual in nature, advancing the understanding of middle managers’ role in corporate entrepreneurship. The paper provides directions for future empirical research.

The interactions between middle managers and other organizational agents are discussed in the propositions. This paper suggests the importance of empowering middle managers to facilitate changes in complex internal environments.

The paper provides a unique theoretical contribution by introducing the interface-based, multi-level conceptual model of corporate entrepreneurship toward new capability development.

Lesson study (LS) is a collaborative form of action research. Collaboration is central to LS methodology, therefore exploring and expanding the understanding of the collaborative features that occur in LS is a priority. This paper explores the features of collaboration in existing publications on LS to consider if, as Quaresma (2020) notes, collaboration is simplistically referred to within LS research.

Utilising a qualitative review of LS literature to explore LS collaboration through Mynott's (2019) outcome model and Huxham and Vangen's (2005) theory of collaborative advantage and inertia. 396 publications using “lesson study” and “collaboration” as key words were considered and reviewed, with 26 articles further analysed and coded, generating a collaborative feature matrix.

While collaboration in LS is referred to generically in the articles analysed, the authors found examples where collaboration is considered at a meta, meso and micro level (Lemon and Salmons, 2021), and a balance between collaborative advantage and inertia. However, only a small proportion of LS publications discuss collaboration in depth and, while the matrix will support future research, more focus needs to be given to how collaboration functions within LS.

Through answering Robutti et al.'s (2016) question about what can be learnt from the existing LS research studies on collaboration, this paper builds on Mynott's (2019) outcome model by providing a detailed matrix of collaborative features that can be found in LS work. This matrix has applications beyond the paper for use by facilitators, leaders of LS, and researchers to explore their LS collaborations through improved understanding of collaboration.

This paper aims to conduct a systematic meta-analysis on emerging economies to summarize these effects and throw light on the strength and heterogeneity of these conditionalities.

This paper proposes a new methodological framework that allows country- and firm-level effects to be combined. The authors hand collected information from 175 studies and around 1,100 estimates in Eastern Europe, Asia, Latin America and Africa from 1940 to 2008.

The two main findings indicate that “macro” effects are much larger than enterprise-level ones, by a factor of at least six and the benefits from foreign direct investment (FDI) into emerging economies are substantially less “conditional” than commonly thought.

The empirical literature has not reached a conclusion as to whether FDI yields spillovers when the host economies are emerging. Instead, the results are often viewed as conditional. For macro studies, this means that the existence and scale of spillover effects are contingent on the levels of institutional, financial or human capital development attained by the host economies. For enterprise-level studies, conditionality relates to the type of inter-firm linkages, namely, forwards, backwards or horizontal.

The purpose of this study is to critically evaluate the canonical contribution of the classical theories of multinational enterprises (MNE) and complement them with congruous multi-theoretical lenses to a propose a meta-theoretical view for competitive advantage. The proposed framework is applied to fundamental questions of MNE, and exploratory insights are revealed.

This study sought to review the literature on various paradigms such as resource-based view, knowledge-based view, attention-based view, relational view, dynamic capability view and institution-based view to propose a meta-theoretical approach explicating the phenomenon of competitiveness.

This study proffers that the key to global competitiveness lies in building micro-foundational, multidimensional and multilevel multinational orchestration capabilities. The requisite orchestration capabilities are capabilities par excellence that explain: how organizational capabilities originate through the cognition of individual employees at the micro level; how individual-level abilities are amplified when they are harnessed through relational capabilities to form knowledge capabilities at the meso-level; and how the confluence of knowledge capabilities and higher order dynamic capabilities gives rise to heterogeneous firm-level knowledge-based dynamic capabilities that can be combined with institution capabilities to aggrandize the prediction of competitive advantage for MNEs.

The successful development of MNE competitiveness as a field of academic inquiry, brought about by an increasing amount of theoretical specialization, has come at the price of significant fragmentation of the overall scientific quest. The abovementioned paradigms and their underlying constructs have primarily been conceptualized in silos. The classical theories of MNE have been used a starting point to which complementary multidisciplinary views have been scaffolded to gain a more nuanced understanding of global competitiveness.

Entrepreneurs are increasingly relying on artificial intelligence (AI) to assist in creating and scaling new ventures. Research on entrepreneurs’ use of AI algorithms (machine learning, natural language processing, artificial neural networks) has focused on the intra-organizational implications of AI. The purpose of this paper is to explore how entrepreneurs’ adoption of AI influences their inter- and meta-organizational relationships.

To address the limited understanding of the consequences of AI for communities of entrepreneurs, this paper develops a theory to explain how AI algorithms influence the micro (entrepreneur) and macro (system) dynamics of entrepreneurial ecosystems.

The theory’s main insight is that substituting AI for entrepreneurial ecosystem interactions influences not only entrepreneurs’ pursuit of opportunities but also the coordination of their local entrepreneurial ecosystems.

The theory contributes by drawing attention to the inter-organizational implications of AI, explaining how the decision to substitute AI for human interactions is a micro-foundation of ecosystems, and motivating a research agenda at the intersection of AI and entrepreneurial ecosystems.