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There is a double crisis in modern science and in particular in physics and mechanics. Among others Einstein and Stephane Lupasco, in the 1930s, warned about this crisis. The Quantum Theory cannot be reconciled with the Relativity Theory. Specifically there is a gap (cleavage) between micro – and macro‐physics and mechanics. Parallel or beneath there is also a second crisis derived from a discontinuity (again a cleavage) between classical and modern science, that is between two previous revolutions. A new research programme of a simultaneous equilibrium versus disequilibrium approach, initially applied in economics has now been extended to include natural sciences. It is the question of a new, more comprehensive methodology which is actually a sui generis synthesis between classical and modern heritage. The rigorous application of the new research programme leads to the organisation of an Orientation Table, that is, a methodological map of all possible combinations (systems). The Table shows, without any exaggeration, a few revolutionary results. For instance, with the help of the Table, modern science or the second revolution (Einstein, Bohr, Heisenberg) does not appear contradictory but rather complementary to classical science or the first revolution (Newton, Lavoisier). The Kuhnian thesis to the contrary is disproved and the second crisis is solved. With the help of the Universal Hypothesis of Duality (the basis of the Orientation Table), matter and energy, at the micro – and macro‐level, appear in a double form (the Principle of Duality): stable (equilibrium) particles and unstable (disequilibrium) waves. The strong interactions from modern physics are associated with the law of gravitation (attraction) or stable equilibrium which governs stable matter and energy. The weak interactions are associated with the law of disgravitation (dispersion or repulsion) including entropy or unstable equilibrium which governs unstable matter and energy. In this way the first crisis is also solved.

This study aims to explore the potential dynamics between performance measurement at the organisational level and emerging urban development projects at the macro-institutional field level of sustainability governance and accountability.

Using a theoretical triangulation between three theories, namely contingency theory, institutional theory and social cognitive theory, this study investigates not only the macro-micro dynamics, but also the (recursive) micro-macro dynamics between performance measurement and urban development. Using an Egyptian public sector urban development organisation and its sustainable energy project as an empirical example, interviews, documents and observations were collected.

The dynamics emerged between field urban development projects and the (unintended) organisational implementation of the performance measurement system, the sustainability key performance indicators (KPIs) reporting system. Contributing to previous literature, these dynamics have been institutionalised through (three) interrelated levels: the (macro-field) urban development contingencies and pressures for sustainability KPIs reporting, the (organisational) institutionalisation of the urban development performance measurement system and then the (micro-organisational) cognitive role of sustainability KPIs reports in (re)making political urban development decisions.

This study faced some limitations that paved the way for future research axes. For political and security reasons, difficulties were encountered in conducting interviews with government actors in the sustainable energy project under study. Also, due to the practical separation of the environmental sustainability system from the sustainability KPIs reporting system in this case study, environmental sustainability is outside the scope.

Sustainability reports may influence public sector decision-making processes in a specific urban development context. These KPIs reports may also increase public sector management opportunities for urban auditing, transparency, accountability and sustainability governance. These KPIs may also guide public sector management to lower prices in poor villages to increase smart energy consumption and improve community health.

Sustainability reports may increase decision-makers' understanding of consumer behaviours and societal changes. This may help in making appropriate political decisions to improve their welfare and regular smart energy consumption. Not only urban citizens, but this social advantage may also extend to urban development employees through employees' promotion, training and access to government-funded academic and professional scholarships.

This study is an attempt to develop current public sector performance measurement analyses in the emerging urban development field using a triadic analytical approach. This study also fed the literature with an extended case study that clarified the (multi-level) and (two-way) dynamics between performance measurement and urban development.

This study seeks to explore the powerful role(s) of institutionalised performance measurement systems or metrics in smart city governance in a politically and militarily sensitive developing country.

This study extends the application and contribution of a multi-level institutional framework to previous management accounting literature on the potential relationship between performance measurement and smart city governance. The value of utilising a multi-level framework is to broaden and deepen theoretical analyses about this relationship to include the effect of political pressure from the military regime at the macro level on the institutionalisation of a performance measurement system at the micro-organisational level. Taking the New Cairo city council smart electricity networks project (Egypt) as an interpretive qualitative single-case study, data collection methods included semi-structured interviews, direct observations and documentary readings.

Performance measurement systems or metrics, especially in politically and militarily sensitive smart cities, constitutes a process of cascading (macro-micro) institutionalisation that is closely linked to sustainable developments taking place in the wider arena of urban policies. Going a step further, accounting-based performance metrics, arising from political and military pressures towards public-private collaborations, contribute to smart city management and accountability (governance). Institutionalised measurement systems or performance metrics play a powerful accounting role(s) in shaping and reshaping political decisions and military actions in the city council.

Theoretically, this study goes beyond the cascading institutionalisation process by arguing for the powerful role(s) of institutionalised accounting and performance measurement systems in smart city decision-making and governance. Empirically, it enriches previous literature with a case study of a developing Arab Spring country, characterised by an emerging economy, political sensitivity and military engagement, rather than developed and more stable countries that have been thoroughly investigated. It is also among the first politically engaged accounting case studies to highlight public-private collaborations as a recent reform in public sector governance and accountability.

Attempts to prove, in this second chapter of the author’s monograph, that with a new research programme, it is possible to build a methodological bridge between economics and all other natural sciences and the scientists should address this challenge. Reviews basic principles that govern nature, including Einstein’s findings along with such luminaries as Copernicus, Newton, Galileo and Jeans. Concludes that the future is safe, as a new generation of scientists is now emerging in the East and the West, and that the new methodology should provide enough space for new roads, ideas and interpretations, which may occur in the future. Closes by saying a new spirit should be initiated in economics and transplanted into natural sciences.

The purpose of this study is to show how simple “collectivities” of non-interconnected similar agents, which the author has termed “combinatory systems” and which produce analogous micro behaviors, reveal very interesting forms of micro and macro behaviors and effects attributable to a cybernetic mechanism the author shall call “micro-macro feedback”. On the one hand, the macro behavior of the system as a whole derives from the “combination” of the analogous micro behaviors or effects of the agents, and on the other hand, the macro behavior determines, conditions or directs the subsequent micro behavior, thereby creating observable effects and patterns in the collectivity.

This paper proposes a new combinatory system theory (CSysT) by constructing a formal model that explains a vast group of phenomena produced by the cybernetic behavior of the collectivity as if an internal organizer were regulating the micro dynamics of agents, producing self-organization, synchronization, path dependence and chaos.

In addition to illustrating the CSysT, this study also proposes a new and powerful tool to simulate combinatory systems: the “combinatory automaton”. This is composed of a lattice, each of whose cells contains a variable representing the state of an agent. The value of each cell at each time depends on a synthetic global variable whose values derive from some operations carried out on the values of the cells and that represents the synthetic state of the automaton. The micro-macro feedback connects the analytical values of the cells and the synthetic state of the automaton.

The CSysT suggests how to control combinatory systems through external actions aimed at making the macro and micro behaviors conform to the desired behaviors. The control is carried out through suitable strengthening or weakening actions, which operate by acting directly on the macro behavior – the author will define this as macro or external control – or by influencing the micro behaviors; in this case, the control will be called micro or internal control. The macro-level control is achieved through strengthening or weakening actions aimed at modifying some recombining factor. Instead, the micro-level control acts on the necessitating factors.

The CSysT is original and represents an effective tool for observing collective behavior. Combinatory systems are not easily recognizable; nevertheless, they are widely diffused and produce most of the social and economic collective phenomena involving the accumulation of objects, the spread of features or information, the pursuit of a limit and the achievement of general progress as the consequence of the individual pursuit of particular interests.

This paper aims to propose a method for dynamic product perceived quality analysis using social media data and to achieve a macro–micro combination analysis. The method enables the prioritization of perceived quality attributes and provides perception causes.

To rationalize the macro–micro combination, ANOVA and multiple linear regression were used to identify the main factors affecting perceived quality which served as the combination basis; by using the combination basis for consumer segmentation, macro-knowledge (i.e. attribute importance and quality category of the attribute) is achieved by term frequency-inverse document frequency (TF-IDF)-based attribute importance calculation and KANO-based attribute classification, which is combined with micro-quality diagnostic information (i.e. perceived quality, perception causes and quality parameters). Further, dynamic perception Importance-Performance Analysis (IPA) is built to present the attribute priority and perception causes.

The framework was validated by the new energy vehicle (NEV) data of Autohome. The results show that price and purchase purpose are the most influential factors of perceived quality and that dynamic perception IPA can effectively prioritize attributes and mine perception causes.

This is one of the first studies to analyze dynamic perceived quality using social media data, which contributes to the research on perceived quality. The paper also contributes by achieving a combined macro–micro analysis of perceived quality. The method rationalizes the macro–micro combination by identifying the factors influencing perceived quality, which provides ideas for other studies using social media data.

The purpose of this paper is to contribute conceptually to debate on labour market dualisation by proposing a macro-micro and micro-macro (or macro-micro-macro) analytical approach to integrate actor-based explanations in the study of labour market dualisation.

This is a conceptual paper emphasising the need to combine qualitative and quantitative data and methods in studying the nature and incidence of labour market dualisation.

To study social divides – as a manifestation of labour market dualisation and, more generally, fragmentation – macro-micro and micro-macro (i.e. macro-micro-macro) relationships need to be established as part of an analytical approach to studying dualisation. This implies considering macro-level institutional and regulatory as well as micro-level workplace and organisational settings as factors in any analysis and interpretation of the determinants of labour market dualisation, i.e. integrating the dynamics of power and strategy as determinants of dualisation, fragmentation and more generally precariousness.

The paper points to the need to expand actor-based explanations within the labour market dualisation debate, which remains overly institutionalist in its approach. The authors propose a micro-macro-micro analytical approach as the way to systematise the study of concurrent macro-micro and micro-macro relationships shaping social divides in labour markets.

Influencer marketing mediated by social media is prevalent in social commerce. Micro-, meso- and macro-influencers all play an irreplaceable role in marketing. The purpose of this paper is to explore how companies with limited budgets choose influencers according to products' various levels of brand familiarity.

This study constructs an evolutionary game model of influencer marketing based on evolutionary game theory on complex networks. This model initiates various networks to demonstrate how influencers disseminate information and constructs update mechanisms to depict how individuals react to this information based on individuals' information utility and friends' strategies.

Simulation results suggest that companies should invest more in macro-influencers than in meso-influencers, however investing all in macro-influencers is not a good choice. The investment in meso-influencers will increase as brand familiarity decreases, whereas it will not exceed investment in macro-influencers. Furthermore, the accumulation of micro-influencers can accelerate the marketing process.

This study examines the combined effects of micro-influencers, meso-influencers and macro-influencers in marketing by simulating the marketing process initiated by influencers on social media.

This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

The problem of environmental pollution is becoming increasingly severe, and international consensus confirms the need for eco-friendly consumption. Worldwide, the eco-friendly food market is booming, so understanding consumers’ motivations to purchase these foods is crucial. This paper aimed to construct a model explaining consumers’ intentions to purchase eco-friendly food by combining stimuli-organism-response (SOR) and signalling theories and exploring the mechanisms by which macro- and micro-signals impact perceptions of value and consumers’ subsequent willingness to purchase eco-friendly food.

An online questionnaire was distributed through the Qualtrics platform, and the completed questionnaires were collected in March and April 2023. The study used partial least squares structural equation modelling (PLS-SEM) to analyse the 331 valid responses received.

The results indicated that trustworthy eco-labels for high-quality and health-promoting products, as conveyed in macro signals, significantly enhanced consumers’ perceptions of functional value. The peer effect and a moderate level of food anthropomorphism conveyed in micro-signals substantially improved their perceptions of social value, whilst the perceived value of products significantly and positively influenced their purchase intentions.

This study explains consumers’ motivations to purchase eco-friendly products. This provides an explanation for the effect of macro- and micro-signals on value perceptions. By integrating the different dimensions of these signals to create a unified research perspective, the paper provides an integrated model, thereby filling a research gap concerning the influence of two-dimensional signals on purchase intention. By supporting eco-friendly food use, the paper contributes to environmental protection and sustainable development.