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Comparative studies have confirmed that the current types of cohabitation (defined as living together as a couple without being married) and the meanings attached to them differ across Europe. This variation could reflect differences in the levels of progress or the stages countries have reached in a common developmental process, as suggested by the theory of the Second Demographic Transition and Kiernan’s stage model of cohabitation. However, it may also indicate that countries are on different developmental paths, as suggested by path dependency theories. To examine whether changes in the prevalence of cohabitation follow a common script, this study analyses types of cohabitation within emerging family formation patterns over cohorts and across countries.

For this purpose, sequence methodology is applied to analyze cohort-specific family trajectories in France, western Germany, Norway, and Italy. In particular, using data from the German National Educational Panel Study (NEPS) and the Generation and Gender Survey (GGS), patterns of union status and co-residence with (own) children between ages 15 and 35 among the 1935–1969 birth cohorts (for Germany, among the 1940–1974 birth cohorts) are compared.

Our findings provide some support for the claim that there were common patterns of change. However, also country-specific variations in family trajectory patterns were detected, which suggests that general processes of change were mediated through country-specific institutions (path dependencies). The empirical evidence for convergence as well as for divergence indicates that both theoretical strands add to our understanding of the spread of cohabitation in European countries.

This study advocates the importance of taking an evolutionary perspective in the strategic configuration of closed-loop supply chains (CLSC) in the transition to a circular economy. Building on the supply chain management and industrial dynamics research domains, an evolutionary analytical framework was developed and applied in the empirical context of the ongoing industrial transition to e-mobility.

This study is designed as an in-depth exploratory case study to capture the multi-layer dynamic complexities and their interplay in CSLC development. The empirical investigation was based on two-year interactions between the authors and various departments in a leading European heavy vehicle manufacturer. The proposed evolutionary analytical framework was used for investigating the dynamics of four CLSC configurations through ten possible trajectories.

The findings demonstrate that the evolution of each CLSC configuration comes with multiple challenges and requirements and point out the necessity for the co-development of technologies, product design and production, and infrastructure through long-term relationships among key supply chain actors. However, this evolutionary journey is associated with multiple dilemmas caused by uncertainties in the market and technology developments. All these factors were properly captured and critically analyzed, along with their interactions, thanks to the constructs included in the proposed evolutionary analytical framework.

The proposed evolutionary framework is applicable for examination of SC transformation in the context of market and technology development, and is particularly relevant for transitioning from linear SC to CLSC. The framework offers a single actor perspective, as it does not directly tackle dynamics and effects of actions taken by SC actors.

The developed framework can support SC managers in identifying, framing, and comparing alternative strategies for CLSC configuration in the transition process.

This study proposes the framework for understanding and guiding the evolutionary process of CLSC development. Its uniqueness lies in the integration of concepts from innovation and evolutionary theories coming from industrial dynamics and SCM literature streams.

Increasing longevity and lower birth rates put pressure on the sustainability of pension systems. This compels countries to reform pension schemes. Different countries opt for different types of reforms. This article examines the scope of possibilities for a pension reform in two countries with distinct institutional and ideational setup: Finland and France.

The authors utilise the framework of different modes of justification presented by Boltanski and Thévenot to reveal the reasoning used in pension reform discussions in both countries. The authors study expert reports to analyse how nationally constructed ideas and local institutions frame and shape the different logics and justifications.

In Finland, the approach to pensions is dominated by industrial and market justifications. The pension system is institutionally separated into two different blocks: one addressing poverty and the other income maintenance. The separation enables the prevalence of these logics and makes it easier to promote reforms that emphasize efficiency and individual responsibility instead of income distribution. The French report is concentrated around civic and domestic dominated justifications by stressing solidarity and the role of pension systems connecting individuals and generations together. Any reform needs to consider these issues.

The article uses a novel research design to study pension reform processes. The article distinguishes the roles that ideas and institutions have in shaping expert reasoning and reform options. The authors show how ideas and institutions form a mutually reinforcing loop which helps to explain path-dependency in pension systems.

Gender equality is a part of the United Nation’s championed sustainable development goal which reflects the global policy priority of bringing women to the table as decision-makers. The year 2021 has seen the highest record of women serving as heads of state and/or government and political representation at national parliaments. However, there seems to be a greater challenge for women to achieve equal political representation as the COVID-19 pandemic that hit the world in 2020 has slowed down women’s political progress at the global level. Until April 2021, COVID-19 has resulted in more than six million casualties and many countries have resorted to taking strict measures to contain the widespread of the virus especially prior to the administration of the vaccines. The strict measures taken by governments worldwide include border closures, extensive contact tracing, physical distancing, and restriction of movements. The pandemic is proven to be precarious not only to public health but also to democracy around the world as governments are given a free pass to silence protests, clamp down on opposition and critics as well as greater control over public movements by using COVID-19 management as a justification. This also has halted the progress made by women’s movements and political activists in championing women’s political representation. Malaysia is one of the countries that imposed long and strict COVID-19-related security and safety measures. This chapter seeks to analyse how COVID-19 is utilized by political institutions specifically the state to embrace or resist changes. COVID-19 is a possible critical juncture that provides opportunities for the state and political parties to renegotiate their structures, values, and positions in society to accommodate women. To explore the gendered responses of political institutions to COVID-19, this chapter identifies two areas to be examined within the Malaysian context (1) the gendered effects of the changes in state structures due to political instability during COVID-19, and (2) government policies that address women during the peak of the COVID-19 period. The results of this study will provide useful insights into the important factors that influence the utilisation of critical junctures either to break a new path or maintain the existing path dependency on political institutions’ policymaking related to gender issues.

While the growth of emerging technologies like Blockchain has created significant market opportunities and economic incentives for firms, it is valuable for both researchers and practitioners to understand their creation mechanisms. This paper aims to discuss the aforementioned objective.

Based on the knowledge search perspective, this study examines the impact of search boundary on innovation novelty and quality. Additionally, innovation targets, namely R&D innovation and application innovation, are proposed as the moderator of the knowledge search effect. Using a combination of machine learning algorithms such as natural language processing and classification models, the authors propose new methods to measure the identified concepts.

The empirical results of 3,614 Blockchain patents indicate that search boundary enhances both innovation novelty and innovation quality. For R&D innovation, the positive impact of search boundary on innovation quality is enhanced, whereas for application innovation, the positive effect of search boundary on innovation novelty is improved.

This study mainly contributes to the growing literature on emerging technologies by describing their creation mechanisms. Specifically, the exploration of R&D and application taxonomy enriches researchers' understanding of knowledge search in the context of Blockchain invention.

The research on supply chain resilience (SCRES) has gained momentum after organizations have experienced more frequent and severe disruptions, especially with COVID-19 and the Russia/Ukraine conflict. Due to its potential for new practices and capability building, SCRES requires dynamic capabilities (DC) to enable an organization to prepare for, counter, and recuperate from disruptions leading to performance improvements and competitive advantage.

The present literature study seeks to enrich the theoretical debate on DC in SCRES, contributing to an advanced understanding of SCRES. Therefore, a meta-review of 83 peer-reviewed literature reviews has been conducted. Based on qualitative content analysis and abductive reasoning, relevant constructs are synthesized to facilitate theory-building for SCRES DC into a comprehensive framework.

The analysis reveals that SCRES has developed into an independent research area. Thus, resilience capabilities must be considered bundles of practices, evolving from different areas beyond supply chain risk management (SCRM). Most recent literature reviews on SCRES address more than one practice bundle applying SCRES DC as antecedents of new DC when organizational structures become more mature, leading to path dependencies when building business capabilities.

Aggregating extant literature on SCRES into a theoretical framework, the study contributes to a better understanding of the relationships between DC and SCRES practices while offering potential avenues for future research. It enriches DC theory by extending its microfoundations towards a holding/buffering dimension, which particularly accounts for the stability-based view of SCRES.

This paper aims to explore the relationship between open innovation (OI) and absorptive capacity (AC) using a bibliometric analysis of existing literature.

The bibliometric analysis is used to review the covered research articles in the Web of Science (WoS) database. The time span covered over 20 years from the year 2000 to 2020.

The study suggests that it is an attracting and growing field for researchers, and there exists a close relationship between OI and AC. Further, the literature has parted into three research streams (1) AC and OI: dependency and interchangeability; (2) OI and its future avenues (3) OI and AC: critical factor for firm innovation performance which elaborate various future scopes to study.

The study's limitations exist with the biasness in database selection criteria, such as the possible non-inclusion of crucial articles.

The study’s implications are to discern close association and path dependency of AC and OI; and facilitate the innovation performance of the firm via developing of AC.

The approach used is a novelty, and the conclusions can better understand the relationship between both terms (OI and AC). Thus, it can help increase firm innovation performance.

Besides the widespread harm and dreadful impact COVID-19 has caused, it brought about change. Interpreting the pandemic as a ‘change agent’, it is possible to observe how it accelerated the use of digital technologies, facilitating the migration of many activities to the virtual sphere and thus changing the interaction between the physical and virtual worlds. Although the pandemic accelerated the diffusion and adoption of digital technologies, allowing many to avoid or reduce the harms caused by the pandemic, not everyone benefitted to the same extent. The pandemic exacerbated existing digital divides while creating new ones, simultaneously elevating important policy debates regarding digital infrastructure and inclusion policies.

Much has been written on the effect of fast-moving business environments on organizational and supply chain (SC) management. Yet, empirical findings on the effect of changing external and internal contingencies on today’s globalized agrifood SC networks and performance are still fragmented into different organizational instruments, with some conflicting results remaining unexplained. This study aims to address these deficiencies by providing a comprehensive research framework to investigate how SC external and internal contingencies jointly influence organizational SC network structures and agrifood performance across mutually dependent tiers.

Using partial least squares structural equation modeling, the so-called “contingency–netchain–performance” framework, based on contingent resource-based theory and the netchain approach, was empirically tested on data obtained from a standardized survey of 405 artisanal producers and 238 processors in the Nigerian shrimp sector.

The results provide statistical evidence that supports the path dependency of firm performance from the interplay of vertical, horizontal and lateral relationships and, primordially, from both external and internal contingencies. The findings show that the contingency paradigm of fit among small-scale food producers and processors cuts across tiers and uncover a tendency to adopt relational governance and tighter network structures that result in an organic organization as the best-fitting structure.

The paper presents a new research framework that offers comprehensive empirical explanations for the joint influence of SC external and internal contingencies on organizational SC network structures and performance across mutually dependent agrifood tiers. This study’s conceptual, practical and policy implications for SC management provide a nascent and flexible basis on which to identify the best-fitting organizational strategies that maximize firm performance across agrifood SC tiers characterized by changing business environments.