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The chapter draws on recent scientific findings on the participation of fathers in childcare, and the perception of the role of fathers by both men and women in the Czech Republic. We apply a mixed method approach, combining qualitative data from longitudinal research on transition to motherhood and fatherhood (TransPARENT), which traced 16 parental couples for four years, with data from quantitative surveys on the topics of parenting and work–life balance. The data are examined for the incidence of breadwinner and the involved father models in Czech families. We focus on the earliest stage of the family life course, that is, when the children are aged between zero and four years. We show that fathers of young children still predominantly assume the breadwinner role, leaving most childcare to mothers. However, the growing number of parents expressing a preference for a more equal sharing of childcare indicates a shift in both the perception of fatherhood and the value placed on the active participation of fathers in early childcare in the Czech Republic. The main limitation of this text is that it only focuses on families with very young children. The future research should fill the gaps in contemporary knowledge of Czech families by addressing the division of roles, and particularly the roles of fathers, in households with school-age children. The chapter suggests that fathers’ greater involvement in childcare could be stimulated by policy measures such as the introduction of paternal leave or broadening the range of (public) childcare services for the youngest children.

An appropriate assessment of sustainability in venture business is an important managerial and investment decision making. Data envelopment analysis (DEA) is utilized for sustainability assessment for venture business firms’ performance. Venture business firms are primary decision-making units (DMUs). Required information for this study is collected from Korea Listed Companies Association (KLCA) database. The proposed DEA model incorporates multiple inputs and outputs to assess the relative operational efficiency of the DMUs, identifying the best performance group among the peer venture business firms. The proposed model provides decision-makers with more accurate information for strategic insights to make better investment decisions in the competitive business environment.

This comparative study qualitatively explores how linguistic minority immigrants and refugees experienced the 2010–2011 Canterbury and Tohoku disasters, including their coping mechanisms and their perceived vulnerabilities and resilience. The data used for this qualitative analysis was primarily drawn from 28 in-depth interviews with linguistic minority immigrants and refugees and their supporting organization staff conducted in 2015–2016. Additional material was drawn from two publicly available data sets. Immigrants and refugees are typically thought of as being more vulnerable in disasters. However, findings drawn from this research demonstrate the nonlinearity, complexity, and contextuality of social vulnerabilities in disasters, suggesting that they are not necessarily powerless help-seekers in some cases. Using Bourdieu’s capital theory, this study demonstrates how immigrants and refugees were active social agents in these disasters. Consequently, we need to reconceptualize the social vulnerability approach. Some study participants had experiences of going through wars and everyday disasters, which made them more resilient. This is conceptualized here as earned strength, which can be a significant resource in disasters for the socially vulnerable. This chapter hopes to answer some critical questions regarding the social vulnerability approach: how do we incorporate the structure–agency concept, how do we theoretically deal with the contextuality/nonlinearity of social vulnerability in disasters, and how do we conceptualize a research study that can seek more practical and generalizable findings, instead of event-driven and disaster-specific findings?

The purpose of this paper is to investigate the ways in which players and producers of promotional alternate reality games (ARGs) negotiate their commercial status, similar to the way in which Matt Hills (2002) argues fan communities negotiate their position within a commercial media industry.

In-depth interviews with game designers is combined with the results of an online player survey and qualitative analysis of discussion on player forums. This provides a strong platform from which to discuss player and producer attitudes towards the status of promotional ARGs as marketing materials.

Both players and producers use various strategies which allow them to negotiate their relationship to the commercial nature of promotional ARGs. These include a focus on the immersive nature of the games (also known as the “This Is Not a Game” philosophy), defining their creative interests strongly against the perceived commercial interests of corporate media companies and an emphasis on the personal, emotional or affective impact of the games.

In the very slim body of academic work on promotional ARGs, few scholars have considered the status of the games as marketing from the perspective of the audience. The paper provides original audience research which is of value and interest to scholars in a diverse variety of disciplines, and to anyone involved in the production or consumption of ARGs.

The purpose of this paper is to emphasize the needs to understand the barrier and determinant factors in knowledge sharing (KS), to find the common ones and subsequently to build a general framework that can be referred to in designing a KS tool that addresses the common factors.

The approach comprises of two major steps which are to survey the past literature to determine the most common barriers and determinant factors from various unique KS domains and to qualify the factor as the common one based on its presence in at least three to five KS domains. The grounded theory is used to analyze the past literature and to perform categorization.

This paper helps in the summarization of categories and subcategories of barriers and determinants and demonstration on the mapping between them.

This paper has not proved the actual use of the framework in building a KS tool based on the framework.

The common factors are based on at least 60 references of KS implementation such that it is useful for large area of application domains that require building KS tools.

This paper presents the understanding on the common factors and association between the barriers and determinants in building the general framework in which the application of the framework is demonstrated using actor network theory.

This study investigates the personal branding strategies utilized by Iranian professional athletes. It also examines the challenges these athletes face in attempting to create a personal brand. For example, unlike their global counterparts, Iranian athletes’ access to social media is limited to only Instagram, due to a ban in Iran on the use of Facebook and Twitter. This specific situation provides unique opportunities and interactions in the personal branding process.

Utilizing a criterion purposive sample of Iranian professional athletes, the authors conducted in-depth, semi-structured interviews to understand the branding strategies and challenges of these athletes.

Two categories (branding strategies and cultural/societal challenges), along with Six themes emerged. The categories were derived based on the literature review and the subsequent research questions.

This paper provides valuable information on challenges and opportunities for athletes' personal branding from international perspectives. Also, the results of the study broaden our understanding of how athletes' personal branding can function in different countries and contexts. Findings will provide governing bodies and sport marketers have a better understanding of athletes' social media usage.

Government is the biggest spender on cloud computing technology but a very limited study and data sets are available to assess the cloud adoption trends in government organizations in India. As India is ushering towards “Digital India” it becomes essential for the government to embrace the cloud to enhance governance and meet the citizen expectations. This paper aims to discuss the evolution of cloud computing (Meghraj) in government organizations by examining the various information technology (IT) and cloud policies, thereby focusing on the policy gaps. The second part of this study assesses the cloud adoption trend by analyzing adopted cloud services, deployments models, leading sectors in cloud adoption and cloud approach. Eventually, in consultation with experts, a conceptual framework for cloud adoption in the government organizations of India is developed for wider cloud adoption.

The authors reviewed various IT/cloud policies and related literature to find the policy gaps for slow cloud adoption in government organizations. Authors have researched to collect the data from the various government procurement portals and analysed the tender and contracts of 500 organizations for cloud requirements to infer the cloud adoption trends. Based on the review of policy gaps, adoption trends and by consulting the experts a conceptual cloud adoption framework has been developed for wider cloud adoption in government organizations.

This study can be a pathfinder where the most innovative findings are about the cloud adoption trends in the government organizations in the time frame from 2013 till 2020. Several key findings are – the public cloud are the most widely adopted, infrastructure as a service model is the most used services, the majority of the applications migrating to the cloud are legacy applications, the leading sector in cloud adoption are – IT, transport and education. It is observed that the pandemic Covid-19 has acted as a catalyst and accelerated cloud adoption in government organizations. Eventually, a conceptual cloud adoption framework has been suggested addressing the policy gaps, deficiencies, overcoming the gaps and their related outcomes for the wider cloud adoption in the government organizations.

The findings of this work highlight the cloud adoption trends in government organizations which can prove vital to the policymakers. This work will assist policymakers, government organizations, researchers, IT professionals and others interested in analyzing the state of cloud adoption. The conceptual cloud adoption framework developed endeavours to uncover the policy gaps, suggest the gap resolution mechanism and outcomes which may assist the organization for wider cloud adoption. This research work effectively connects the policies to practice by stimulating the interest in understanding the policies, strategies and thereby creating the enabling environment for cloud adoption. This study provides feedback on cloud adoption trends which can assist in policy refinement and further strengthen policy/strategies.

As of date, there is limited data available for cloud adoption in government organizations. This work uniquely presents the cloud projections which helps to gain insights on cloud adoption trends in government organizations. This study is the first of its kind, focusing on cloud adoption in the unexplored government sector. This study provides a comprehensive summary of adoption statistics, policy analysis and practice in government organizations of India.

The purpose of this paper is to empirically analyze the effect of the increasing connectedness among financial institutions in the Korean financial market, as it affects the market microstructure in the stock market. Thus this work, first, analyzes the trend and characteristics of connectedness in the Korean financial sector. This work then demonstrates the impacts of connectedness on volatility and price discovery in the stock market.

The entire Korean financial sector is analyzed from January 1990 to July 2015, including the periods of the 1997 Asian crisis and the 2007/2008 global financial crisis. This paper quantifies the connectedness between financial institutions using network methodology. Densely connectedness specifically refers to the cases in which a node experiences strong-lagged return spillover from and/or to itself.

Connectedness is established as an important determinant of stock price discovery. This paper illustrates that connectedness increases on significant economic events such as the 1997 Asian crisis and the 2007/2008 global financial crisis. Furthermore, this paper demonstrates that the more densely connected a particular financial institution, the more volatile the stock price and the less accurate the stock price quality.

Understanding the financial system from a network perspective has been on the rise after the 2007/2008 global financial crisis. This work helps regulators and policy makers understand the full implications of introducing new policies that can more closely connect financial institutions.

This paper precisely captures financial institutions’ connectedness by including all types of financial institutions at the micro level. Additionally, this paper links connectedness to market microstructure in the stock market.

The value of big data in supply chain management (SCM) is typically motivated by the improvement of business processes and decision-making practices. However, the aspect of value associated with big data in SCM is not well understood. The purpose of this paper is to mitigate the weakly understood nature of big data concerning big data’s value in SCM from a business process perspective.

A content-analysis-based literature review has been completed, in which an inductive and three-level coding procedure has been applied on 72 articles.

By identifying and defining constructs, a big data SCM framework is offered using business process theory and value theory as lenses. Value discovery, value creation and value capture represent different value dimensions and bring a multifaceted view on how to understand and realize the value of big data.

This study further elucidates big data and SCM literature by adding additional insights to how the value of big data in SCM can be conceptualized. As a limitation, the constructs and assimilated measures need further empirical evidence.

Practitioners could adopt the findings for conceptualization of strategies and educational purposes. Furthermore, the findings give guidance on how to discover, create and capture the value of big data.

Extant SCM theory has provided various views to big data. This study synthesizes big data and brings a multifaceted view on its value from a business process perspective. Construct definitions, measures and research propositions are introduced as an important step to guide future studies and research designs.