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The purpose of this paper is to present an optimisation of four-point star-shaped structures produced through additive manufacturing (AM) polylactic acid (PLA). The study also aims to investigate the compression failure mechanism of the structure.

A Taguchi L₉ orthogonal array design of the experiment is adopted in which the input parameters are resolution (0.06, 0.15 and 0.30 mm), print speed (60, 70 and 80 mm/s) and bed temperature (55°C, 60°C, 65°C). The response parameters considered were printing time, material usage, compression yield strength, compression modulus and dimensional stability. Empirical observations during compression tests were used to evaluate the load–response mechanism of the structures.

The printing resolution is the most significant input parameter. Material length is not influenced by the printing speed and bed temperature. The compression stress–strain curve exhibits elastic, plateau and densification regions. All the samples exhibit negative Poisson’s ratio values within the elastic and plateau regions. At the beginning of densification, the Poisson’s ratios change to positive values. The metamaterial printed at a resolution of 0.3 mm, 80 mm/s and 60°C exhibits the best mechanical properties (yield strength and modulus of 2.02 and 58.87 MPa, respectively). The failure of the structure occurs through bending and torsion of the unit cells.

The optimisation study is significant for decision-making during the 3D printing and the empirical failure model shall complement the existing techniques for the mechanical analysis of the metamaterials.

To the best of the authors’ knowledge, for the first time, a new empirical model, based on the uniaxial load response and “static truss concept”, for failure mechanisms of the unit cell is presented.

Travel decreased dramatically during the initial wave of the COVID-19 pandemic, only to return rapidly to prepandemic levels once the degree of fear toward the virus began to diminish among potential travelers. This USA-based 16-month repeated-measure cross-sectional survey study aims to explore the degree to which fear of COVID affected people’s decisions to stay home rather than to travel during the pandemic.

The research used survey data. An extensive data set, composed of over 9,500 respondents, collected through Mechanical Turk over a 16-month time period, was used to compare respondent fear of the pandemic both with their attitudes toward future travel and with Smith Travel Research data reflecting actual pandemic travel patterns.

The results demonstrate how fear of COVID was closely and negatively linked to both travel intentions and travel behavior.

Data were collected from US respondents only.

The findings significantly extend earlier studies and provide guidance for those studying travel consumer behavior regarding trends that should be monitored in the case of a future pandemic or other fear-inducing crisis. For hospitality and tourism managers and marketers, understanding fear as a leading indicator of future travel behavior can result in more timely promotional efforts and staffing and training decisions.

Measuring and understanding consumer fear levels as this relates to travel decisions can help in the future to adjust the message that is sent to the public, perhaps reducing the amount of travel taken during periods when this is unwise and or unsafe.

This paper extends previous work that had been based upon cross-sectional reviews, providing a broader and more valuable study of an important and timely consumer behavior travel topic.

This article explores how companies in multiple controversial industries report their controversial issues. For the first time, the authors use a new conceptualization of controversial industries, focused on harm and solutions, to investigate the reports of 28 companies in seven controversial industries: Agricultural Chemicals, Alcohol, Armaments, Coal, Gambling, Oil and Tobacco.

The authors thematically analyzed company reports to determine if companies in controversial industries discuss their controversial issues in their reporting, if and how they communicate the harm caused by their products or services, and what solutions they provide.

From this study data the authors introduce a new legitimacy reporting method in the controversial industries literature: the solutions companies offer for the harm caused by their products and services. The authors find three solution reporting methods: no solution, misleading solution and less-harmful solution. The authors also develop a new typology of reporting strategies used by companies in controversial industries based on how they report their key controversial issue and the harm caused by their products or services, and the solutions they offer. The authors identify seven reporting strategies: Ignore, Deny, Decoy, Dazzle, Distort, Deflect and Adapt.

Further research can test the typology and identify strategies used by companies in different institutional or regulatory settings, across different controversial industries or in larger populations.

Investors, consumers, managers, activists and other stakeholders of controversial companies can use this typology to identify the strategies that companies use to report controversial issues. They can assess if reports admit to the controversial issue and the harm caused by a company's products and services and if they provide solutions to that harm.

This paper develops a new typology of reporting strategies by companies in controversial industries and adds to the theory and discourse on social and environmental reporting (SER) as well as the literature on controversial industries.

Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social relationship (PSR), this study aims to capture viewers’ lively social feelings toward the streamer as the key factor leading to the purchase behavior of virtual gifts. It also aims to establish a theoretical link between PSR and viewers’ holistic experience in live streaming as captured by cognitive absorption and aims to investigates the role of technological features (i.e. viewer–streamer and viewer–viewer interactivity, streamer-level and viewer-level deep profiling and design aesthetics) in shaping viewers’ experience.

Based on 433 survey responses, this study employs a combination of structural equation modeling and neural networks to offer valuable insights into the relationships between the technological environment, viewer experience and viewer behavior.

Our results highlight the salience of PSR in promoting the purchase of virtual gifts through cognitive absorption and the importance of the technological environment in eliciting the viewer experience. This study sheds light on the development of PSR in a technological environment and its relationship with cognitive absorption.

By applying PSR to conceptualize viewers’ perceived connection with the streamer, this study extends the research on purchase behavior in the non-shopping context by providing an enlightened understanding of virtual gift purchase behavior in live streaming. Moreover, by theoretically linking PSR with cognitive absorption, virtual gift purchase and technological features of live streaming, it enriches the theory of PSR and bridges the gap between the design practice of supporting the IT infrastructure of live streaming and research.

First-generation college students in the United States are a unique demographic that is often characterized by the institutions that serve them with a risk-laden and deficit-based model. However, our analysis of the transcripts of open-ended, semi-structured interviews with 22 “first-gen” respondents suggests they are actively deft, agentic, self-determining parties to processes of identity construction that are both externally imposed and potentially stigmatizing, as well as exemplars of survivance and determination. We deploy a grounded theory approach to an open-coding process, modeled after the extended case method, while viewing our data through a novel synthesis of the dual theoretical lenses of structural and radical/structural symbolic interactionism and intersectional/standpoint feminist traditions, in order to reveal the complex, unfolding, active strategies students used to make sense of their obstacles, successes, co-created identities, and distinctive institutional encounters. We find that contrary to the dictates of prevailing paradigms, identity-building among first-gens is an incremental and bidirectional process through which students actively perceive and engage existing power structures to persist and even thrive amid incredibly trying, challenging, distressing, and even traumatic circumstances. Our findings suggest that successful institutional interventional strategies designed to serve this functionally unique student population (and particularly those tailored to the COVID-moment) would do well to listen deeply to their voices, consider the secondary consequences of “protectionary” policies as potentially more harmful than helpful, and fundamentally, to reexamine the presumption that such students present just institutional risk and vulnerability, but also present a valuable addition to university environments, due to the unique perspective and broader scale of vision their experiences afford them.

The vast bulk of the discourse surrounding reproduction is centered on women. Yet, the rate of childlessness in the United Kingdom (and much of the world) is higher among men. Recently, there has been an increased focus on fatherhood and fathering in academia, policy, practice, and the general media. However, data on men who do not become fathers has been excluded and their experiences minimized and dismissed. Infertility research has shown that failure to achieve the high social status of parenthood has the similar effects on mental and physical health as a diagnosis of life-threatening illness. In this chapter, I will draw on two qualitative research studies to show how not achieving the pronatalist ideal of parenthood impacts on men’s identity, sense of self, behaviors, health and well-being and social networks across the life course. The workplace is an arena where people who do not fit socio-cultural norms and expectations are overtly and/or covertly stigmatized and discriminated against through policy, working practices and everyday interaction between groups and individuals. I will argue that failing to acknowledge men’s experience of non-reproduction has a significant impact on both individuals and institutions alike.

The efficient functioning of the labour market is an important factor that affects long-term economic growth. The interaction of supply and demand on the labour market is influenced by institutions which change the motivations and behaviour of economic actors and, ultimately, the flexibility of the labour market. There is no consensus in the literature on the effect these institutions have on labour market outcomes. This chapter focuses on a set of selective labour market institutions (employment protection legislation, minimum wages, unemployment benefits, labour taxation, trade unions and active labour market policies), compares their relevance to other European Union (EU) countries and through the lens of the Beveridge curve it tries to evaluate their impact on effectiveness of the Czech labour market. The international comparison shows that most of the considered institutions/regulations do not reach such importance (except employment protection legislation) and that they have a significant negative effect on labour market outcomes. Even the model of the Beveridge curve does not indicate that the Czech labour market is characterised by rigidities that would impair the effectiveness of a matching process at the aggregate level.

Increasing evidence from high-income countries has revealed the positive impacts of creative entrepreneurship on the local economy, and these have attracted substantial attention in recent years. Creative industries are considered as the seedbeds for innovation; they are highly innovative and productive and are seen as drivers of economic development and social change. Creative industries are distinctive in that they have several transaction networks and income streams. Although creative industries are generating increasing interest in the minds of researchers and policy-makers in developed countries, the institutional and economic settings in Cameroon and other developing nations may not be so conducive to creative industries. The available evidence is insufficient to understand their performance and sustainability, let alone to estimate their contribution to the rest of the economy. This chapter demonstrates how the creative industries could contribute to the economic and social development of a nation. The chapter further explores the current situation of creative industries in Cameroon, with a focus on the artists of popular and folk music, the challenges they are facing, and provides ways forward.

A quantitative theoretical model is proposed to measure how productivity performance can be affected by strategic decisions related to specific competitive priorities.

This study proposes the Primary Transformation Model (PTM) and an equation to measure cause-and-effect relationships between productivity and competitive priorities.

The interdependence between productivity and competitive priorities was studied using the PTM and the proposed model indicates that strategies that improve external performance also impact internal productivity. It was also observed that the compatibility between competitive priorities depends on the initial manufacturing conditions and the implementation method adopted.

The proposed model is theoretical and, as such, is an abstraction of reality and does not consider all possible aspects. It consists of a novel approach that still requires further empirical testing. The PTM provides insights about the trade-offs between productivity and strategic objectives, as well, contributes to the ongoing research on manufacturing strategy and can be further developed in future studies.

The main practical implication is to allow companies to relate their strategic decisions to their productivity performance.

This research also contributes to societal issues by enabling firms to better align strategic objectives and operations, which ultimately allows offering products more suited to the needs of customers, thus making better use of the required resources and favoring economic growth.

The model proposed allows objective assessment of actions aiming at operational efficiency and effectiveness, in addition to providing insights into cause-and-effect relationships between productivity and competitive priorities. The model can also be used in empirical investigations on manufacturing strategy.