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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.

In the industry, there is always a demand to shorten the task completion durations to maximize the efficiency of the operation. This work focuses on making use of a special type of kinematic redundancy, macro–micro manipulation, to minimize the task completion duration. The purpose of this paper is to develop the most convenient trajectory planner to be integrated with industrial computerized numerical control (CNC) systems to resolve kinematic redundancy for task duration minimization.

A special type of kinematic redundancy is devised by using two kinematically different mechanisms that have different advantages, which are named as macro and micro mechanisms. In this case, the control design including the trajectory planning should be devised taking into account the distinct advantages of both mechanisms. A new trajectory planning algorithm is designed and used for the constructed planar laser-cutting machine, and some benchmark pieces are cut.

Offline method has practical limitations for employment in a real case scenario such as assuming infinite jerk limits for each axis motion. This limitation was removed by using an online trajectory generation technique. Experimental test results indicate that the online trajectory planning technique developed for the macro–micro mechanism to shorten the task duration was successful.

Although the new trajectory planning algorithm is implemented for a laser-cutting machine, it can also be used for other manufacturing systems that require higher acceleration and accuracy levels than the conventional machines. The new algorithm is compatible with the commercially available CNC systems.

In this work, a new approach to reducing the task duration for planar machining operations was introduced by making use of macro–micro manipulation concept. The core novelty of the work is devising trajectory planning algorithms to get the most efficiency in terms of acceleration limits from a macro–micro manipulation while making these algorithms deployable to most of the CNC systems.

In the presented research, the authors have conducted the literature review and organised real interviews of fruit retailers (FRs) to construct the advanced hierarchical structural (AHS) chain of macro-micro parameters for measuring the performances of defined fruit supply bazaars (FSBs). Apart from this, the purpose of this paper is to develop the grey set-based scorecard model for solving the proposed AHS chain of macro-micro parameters.

The performance of FSBs is linked with the supply of fruits towards clients under a feasible rate, which circuitously depends upon the evaluation of the economic locality of FSBs. The authors developed an advanced hierarchical structure of macro-micro parameters via a literature survey and considered these parameters based on the sampling score of FRs corresponding to select feasible FSBs/alternatives. Furthermore, the authors developed a grey set-based scorecard model for undertaking the incomplete information of FRs against the hierarchical structure.

It is found that the work is well suited for FRs as they can measure the performances of defined FSBs in accordance with their own opinions under the proposed AHS of macro-micro parameters. Apart from this, the work is useful for benchmarking the vegetable supply bazaars (VSBs) on the replacement of AHS. The proposed hierarchical structure with a grey-based scorecard model is flexible in its nature and can undertake more than 1,000 macro-micro parameters and FRs to access potential decision.

The conducted research work has a precise value for evaluating the economic FSB locality. The overall performance scores of considered FSB localities are computed as (∂₁)=1.991, (∂₂)=2.567 and (∂₃)=2.855, where (∂₃) is found to be more significant than available FSBs. This work can be used for opting the economic locality of VSB too.

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 aim of this paper is to determine a parallel computational methodology for simultaneously predicting the macro/micro scale phenomena occurring during solidification processing with external electromagnetic stirring.

Macro and micro phenomena occurring in an electromagnetically‐stirred solidifying melt are simulated using a numerical model that integrates the finite element methodology for transport phenomena and the Monte‐Carlo cellular‐automata method for microstructure formation. Parallel algorithm is introduced to enhance the computational efficiency.

Computed results show that parallel algorithm can be effective in enhancing the computational efficiency of a combined macro/micro model if it is applied appropriately. Also, electromagnetically induced stirring can have a strong effect on the nucleation and grain growth and hence the final solidification microstructure.

This paper fulfils a need for developing an efficient numerical methodology to simulate complex electromagnetically‐assisted transport phenomena and microstructure formation during solidification processing systems.

This paper discusses the use of modelling techniques to predict the reliability of an anisotropic conductive film (ACF) flip chip in a humid environment. The purpose of this modelling work is to understand the role that moisture plays in the failure of ACF flip chips.

A 3D macro‐micro finite element modelling technique was used to determine the moisture diffusion and moisture‐induced stresses inside the ACF flip chip.

The results show that the ACF layer in the flip chip can be expected to be fully saturated with moisture after 3 h at 121°C, 100%RH, 2 atm test conditions. The swelling effect of the adhesive due to this moisture absorption causes predominately tensile stress at the interface between the adhesive and the metallization, which could cause a decrease in the contact area, and therefore an increase in the contact resistance.

This paper introduces a macro‐micro modelling technique which enables more detailed 3D modelling analysis of an ACF flip chip than previously.

The purpose of this paper is to propose a novel non-probabilistic reliability-based topology optimization (NRBTO) method for continuum structural design under interval uncertainties of load and material parameters based on the technology of 3D printing or additive manufacturing.

First, the uncertainty quantification analysis is accomplished by interval Taylor extension to determine boundary rules of concerned displacement responses. Based on the interval interference theory, a novel reliability index, named as the optimization feature distance, is then introduced to construct non-probabilistic reliability constraints. To circumvent convergence difficulties in solving large-scale variable optimization problems, the gradient-based method of moving asymptotes is also used, in which the sensitivity expressions of the present reliability measurements with respect to design variables are deduced by combination of the adjoint vector scheme and interval mathematics.

The main findings of this paper should lie in that new non-probabilistic reliability index, i.e. the optimization feature distance which is defined and further incorporated in continuum topology optimization issues. Besides, a novel concurrent design strategy under consideration of macro-micro integration is presented by using the developed RBTO methodology.

Uncertainty propagation analysis based on the interval Taylor extension method is conducted. Novel reliability index of the optimization feature distance is defined. Expressions of the adjoint vectors between interval bounds of displacement responses and the relative density are deduced. New NRBTO method subjected to continuum structures is developed and further solved by MMA algorithms.

There has been tremendous interest in the field of cultural adjustment in the past decades. The work of Black and his colleagues has inspired many researchers. However, critics have pointed out that their original conceptualization has limitations; most of the insights building on their model have probably been harvested. Therefore, it is appropriate to investigate alternative ways at understanding the challenges in international assignments. The purpose of this paper is to outline a model rooted in person-environment fit theory. The authors follow Dawis and Lofquist’s Theory of Work Adjustment, which has had only a small influence on expatriate research to date.

The paper develops a correspondence model of cross-cultural adjustment and explores the diverse factors and their interactions in-depth. The satisfaction of individual needs and corresponding environmental supplies (macro, micro, and organizational factors) as well as the satisfactoriness of individual abilities and corresponding environmental requirements (macro, micro, and organizational) is outlined.

Based on the literature and the model a large number of hypotheses in relation to cross-cultural adjustment are proposed which allow new avenues in adjustment research.

The contribution of this paper is to propose a model that addresses the main criticisms to the adjustment conceptualization of Black and his colleagues.

The purpose of this study is to examine the relationships between market mavenism, tourists’ cocreation experience, loyalty and the mediating role of travel incentives in the post-COVID-19 tourism environment in the context of vaxication intentions in Turkey.

This study used covariance-based structural equation modeling to empirically test the proposed hypotheses. A total of 348 respondents participated in the survey.

The findings of this study support the assumption that market mavenism (MM) engage in cocreating and sharing travel experiences (CCTE). Furthermore, the study reveals that market mavens tend to demonstrate loyalty (LTY) toward service providers when engaging in cocreation with travel industry professionals. In addition, the study establishes the significant mediating effect of travel incentives (TI) between MM and vaxication intention (VI).

The study uses the theory of planned behavior to examine tourists’ intentions for vaxication and the psychological factors influencing their decisions, while also using the macro–micro theory to explore industry-level factors like market mavens and customer engagement, leading to a comprehensive understanding of COVID-19 vaccination and tourism behavior. Further research is needed to address limitations such as country diversity, multiple locations and service providers, online behavior analysis, authenticity perception and identification of market mavens’ personality traits and travel preferences.

This study contributes to the scholarly literature in several ways. First, it explores the influence of market mavens on tourism experience cocreation and customer loyalty during the postpandemic era. Second, it empirically examines the mediating role of travel incentives, adding to the understanding of market mavens and vaccination intentions. Lastly, the study addresses the implications during and after the COVID-19 for managers and service providers in the tourism industry.

This study explored the role of market mavens for young tourists and existential authenticity for young tourist co-creation experience. It determines intentions to revisit and intentions to recommend tourism service providers. The theoretical foundation of this study is based upon the macro-micro theory approach of service-dominant (S-D) logic and customer engagement, which explains the idea of tourist co-creation interactivity and value creation between the service provider and tourist.

The positivist deductive approach, survey-based methodology was followed for this study. Data was collected from 349 young tourists who have traveled and contributed to travel services through collaboration and interaction with the service provider. The data were analyzed in SmartPLS, and structured equation modeling technique was used for hypothesis testing.

It was found that market mavens have a positive impact on young tourist's co-creation process, hence depicting intention to revisit and recommend the tourism service provider. Existential authenticity was also found having positive impact on tourist co-creation and intention to revisit and recommend the service provider. The results show that young tourists plan domestic trips in Pakistan and co-create with service providers.

This study theoretically and practically contributed in the literature and enhanced the literature concerning mainly the young tourists co-creation. It has also enhanced the knowledge about intentions to revisit and recommend with special focus on market mavens. Also, existential authenticity of the tourist spots was keenly considered in the underlying research.

This study highlights value-creation phenomenon in tourism for younger tourists. Their input is important in the form of creativity and innovation and by incorporating these young tourists in decision-making process. They ensure their ability to participate and design, resulting in loyalty towards service provider.