Search results

The purpose of this paper is to advance our understanding of competitiveness. The authors introduce the concept of Competitive Productivity (CP), supplementing shortcomings of traditional understandings of national, organisational and individual productivity which overlook the nature of competitiveness, i.e. outperforming the competition, or at least bettering one’s own performance. The authors offer definitions, components and construct measurements of CP at three levels: macro, meso and micro.

A review of the literature was conducted to evaluate the need for combining productivity and competitiveness into one new construct. There are theories that combine these ideas – e.g., the resource-based theory of the firm – but the authors are presenting these concepts differently, or in a novel way. The authors’ focus on CP makes necessary a new group of construct measures which are different from that of the strategy literature: the authors measure an agent’s tendency “to be better than the competition” along multiple dimensions. Based on the CP construct, the authors present three testable models to uncover determinants of CP at three levels (macro, meso and micro). Finally, the work around “emergent property” can be applied to examine CP itself as being a determinant for other higher-order outcomes such as welfare, profits and life satisfaction. CP forms a platform to explore likely interplay (bottom-up and/or top-down mechanisms) within the micro–meso–macro architecture.

Three CP models were developed and are briefly discussed in this paper: first, a National Competitive Productivity (NCP) model to capture the components/drivers of national CP (macro level). Second, a Firm Competitive Productivity (FCP) model to capture the components/drivers of firm CP within an industry context (meso). And finally, an Individual Competitive Productivity (ICP) model capturing the components/drivers of CP at the individual (micro) level.

The study provides a combined approach to capture productivity and competitiveness within one innovative concept: CP. It can be used by government and policy makers (NCP model), managers and organisations (FCP model), and individuals such as workers and students (ICP model) to evaluate and enhance their performance. A better understanding of the components/drivers of CP at the three levels and the suggested measurement of CP should provide a stronger theory of competitiveness of nations, firms and individuals. Not least should a focus on the three levels (macro, meso and micro) better prepare citizens, firms, workers and students to effectively function and work in the marketplace and in society. The authors’ work should eventually contribute to more effective benchmarking and continuous improvement in the competitiveness domain. Crucially, this conceptual paper forms the foundation for future empirical testing of CP components in the context of the relative values and moderated behaviour as captured by the ReVaMB model.

Recent marketing research provides conceptual models to investigate the well-being of collectives, but service system well-being (SSW) remains untested empirically. This research conceptualises and develops a measure for SSW at the micro, meso and macro levels.

Using a series of studies, a multidimensional SSW scale is developed and validated to ensure its generalisability. After the development of preliminary items, Study 1 (N = 435 of service employees) was used to purify items using factor analyses. Study 2 (N = 592 of service employees) used structural equation modelling (SEM) with AMOS and SmartPLS to test the scale's dimensionality, reliability and validity.

The results confirm the validity and reliability of the nine dimensions of SSW. The measure was validated as a third-order micro-, meso- and macro-level construct. The dimensions of existential and transformative well-being contribute to micro-level well-being. The dimensions of social, community and collaborative well-being contribute to meso-level well-being. Government, leadership, strategic and resource well-being drive macro-level well-being. In addition, a nomological network was specified to assess the impact of SSW on service actor life satisfaction and customer orientation.

The study contributes to services literature by theorising SSW as a hierarchical structure and empirically validating the dimensions and micro-meso-macro levels that contribute to SSW.

The SSW scale is a useful diagnostic tool for assessing levels of well-being across different systems and providing insights that can help develop interventions to improve the well-being of collectives.

The research is the first study to theorise the micro, meso and macro levels of service system well-being and operationally validate the SSW construct.

The purpose of this paper is to locate the concept of competitive productivity (CP) within a general theory of societal progress and include new thinking on the challenge of obstacles to be met at certain stages.

The approach is to review the key literature dealing with economic growth and rising societal achievement and to refine out concepts that offer understanding of the dynamics commonly involved, taking illustrative examples from different societies and seeking overall common denominators that appear within the historical processes.

New understandings of societal progress, using complex adaptive systems theory applied to cities and industrial districts, indicate that two forces are at work to release new positive forms of energy into society. Economies of scale work via the laws of fractal geometry to yield sublinear growth of energy. More intense social interaction works within the core of the society in a different way to yield superlinear growth. These two forms of energy release can feed off each other beneficially in conditions where, as with CP, the forces of competition can work with forces driving efficiency, in conditions where societal order can be supported by appropriate cultural norms.

A wide literature across several disciplines is brought to bear on the very complex question. Some of the theories are new but very well anchored. It is consequently possible to suggest a pattern of multi-determinants able to match the reality and to foster nuanced comprehensive analysis.

Impacts on policy of foreign direct investment and joint venture management.

Emphasis on the roles of societal virtues in establishing the cooperativeness needed for CP.

Few studies bring together so many disciplinary perspectives into a complete argument.

This study aims to find work concepts and mesoergonomic stages that are not well known and are not widely used in solving problems related to ergonomics using macro and micro ergonomics.

The study used a questionnaire distributed to several ergonomists who were able to provide opinions on meso ergonomics, especially in determining what aspects affected meso ergonomics so that the meso stages could be determined.

The results of data collection show that aspects that affect meso ergonomics are closely related to macro and micro ergonomics, aspects that are found to have similarities between the three because meso ergonomics is between them.

Determine the stages of meso ergonomics and clarify the limits of meso ergonomics using a questionnaire distributed to several respondents who understand ergonomics.

This paper can be applied to organizations that have a tiered organizational structure so that departments in the organization are divided into several parts to be observed and related to each other in carrying out organizational functions.

Provides convenience for researchers in observing organizations with the presence of mesoergonomics which is a bridge between macro and micro ergonomics.

The stages of meso ergonomics are arranged based on aspects and meso ergonomics variables that have been obtained from previous studies which now have added some considerations in the preparation of mesoergonomic stages such as the macroergonomic analysis design on macro ergonomics.

The purpose of this paper is to analyse how start-ups with a clear sustainability focus collaborate with multiple actors at different levels to pursue business ideas and develop sustainable freight transport solutions.

This paper builds on a theoretical approach that includes three levels of analysis: the actor level (micro), business-network level (meso) and society and government level (macro). An embedded case study is used of a focal start-up aiming to innovate on networked platforms and electric and autonomous vehicles (EAVs).

Activities and resources are developed at the firm (micro), network (meso) and societal levels (macro), and all three levels need to be considered for a start-up, with a clear sustainability focus. Interaction within as well as between levels affects the innovation development, integration and implementation. The many-folded collaborations at the meso level serve as a locus for the integration of EAVs. The start-up’s networking activities with actors at meso and macro levels contribute to it gaining legitimacy in the transport system.

This paper focuses on the importance of collaboration in the context of developing innovative solutions for environmental sustainability and freight transport and provides a unique case of how a start-up company manages collaborations at the micro, meso and macro levels.

The purpose of this paper is to investigate the mechanical properties’ behaviors of woven composite cut-out structures with specific parameters. Because of the complexity of micro-scale and meso-scale structure, it is difficult to accurately predict the mechanical material behavior of woven composites. Numerical simulations are increasingly necessary for the design and optimization of test procedures for composite structures made by the woven composite. The results of the proposed method are well satisfied with the results obtained from the experiment and other studies. Moreover, parametric studies on different plates based on the stacking sequences are investigated.

A multi-scale modeling approach is suggested. Back-propagation neural networks (BPNN), radial basis function (RBF) and least square support vector regression are integrated with efficient global optimization (EGO) to reduce the weight of assigned structure. Optimization results are verified by finite element analysis.

Compared with other similar studies, the advantage of the suggested strategy uses homogenized properties behaviors with more complex analysis of woven composite structures. According to investigation results, it can be found that 450/−450 ply-orientation is the best buckling load value for all the cut-out shape requirements. According to the optimal results, the BPNN-EGO is the best candidate for the EGO to optimize the woven composite structures.

A multi-scale approach is used to investigate the mechanical properties of a complex woven composite material architecture. Buckling of different cut-out shapes with the same area is surveyed. According to investigation, 45°/−45° ply-orientation is the best for all cut-out shapes. Different surrogate models are integrated in EGO for optimization. The BPNN surrogate model is the best choice for EGO to optimization difficult problems of woven composite materials.

This chapter aims to identify the main determinants that define the architectural properties of network emergence and significantly influence the dynamics underlying network evolution in time. The identification and analysis of these determinants, as well as the dynamic processes tied to them, allows to appreciate the competitive bases and consequences of network morphology. To this purpose, using a complex systems perspective as an integrative conceptual approach, we represent networks as complex dynamic systems of knowledge and capabilities. We perform a comparative in-depth analysis of the processes underlying the emergence and evolution of STMicroelectronic's global network and of Toyota's supplier network in the US so as to allow an elucidatory empirical assessment of the theoretical representation elaborated in the article.

Sociologists studying the rise of postmodernism have generally concentrated on either macro-level structures of economy or micro-level subjectivities of individuals. Few have specified how meso-level actions within concrete institutions have produced both these macro- and micro-changes. Bourdieu's concept of field provides a meso-level concept that allows sociologists to explain the transition to a postmodern society by changes in the composition and competition of producers and consumers struggling for advantage in the economy and culture. The chapter focuses on architecture, revealing that the rise of a postmodern aesthetic was the result of internal changes of this field and their complex interrelation with the external changes of an economy in transition from Fordism to post-Fordism.

The purpose of the paper is to report on a novel approach to assessing long‐term policy and technology impacts. This approach combines a qualitative forecast with a tri‐level quantitative projection to provide a broadly socio‐economic analysis. It is aimed at forecasting problems, such as impact assessment for future policy formulation in the light of socio‐economic, technological and market developments.

The paper is based on a variety of research methods including scenario planning, and techniques taken from analysis of stochastic processes to identify and correlate behaviour, combined with the concepts meso‐economics, in order to produce more robust tri‐level quantitative estimations, driven by qualitative analysis.

The paper finds that it is possible to join micro‐economic behaviour to macro‐economic, using meso‐economics to attack what was previously seen as a difficult gap between the two. It also finds that quantitative forecasting, based on socio‐economic behaviour using the qualitative assessment from a scenario – i.e. from stories about the future – can form a basis for quantitative forecasting. Different scenarios may be linked to corresponding quantitative economic estimations using key indicator parameters at each economic level, those which are the most relevant to the scenarios, and so exploit statistical techniques across the three levels in a balanced fashion.

This paper summarises a novel approach, taking a fresh look at forecasting economic impacts assessments by shaping the quantitative form with a qualitative tool, while introducing the linking powers of meso‐economics. General economic theories in widespread use today seem to be weak when dealing with the non‐deterministic nature of real markets and economies and especially in linking micro‐economic parameters to macro‐economic. The approach attempts to resolve this dilemma. An example is presented of its use in a recent study.