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As corporate sustainability is systemic, it cannot be achieved without effective involvement of suppliers. This study aims to examine the drivers of supplier companies’ resource allocation to a sustainability issue that affects customer companies and society at large.

Supplier companies’ resource allocation for a sustainability issue is explained from variables at the levels of the institutional, supply chain and internal environments of a supplier company. The framework is tested with a moderated regression model on 102 supplier companies in animal-based supply chains, focussing on their resource allocation for farm animal welfare.

The findings show that supply chain factors have the strongest influence on suppliers’ resource allocation, including a strong effect of investment specificity and a U-shaped effect of chain integration. Also, significant effects from institutional variables, namely, the pressure on consumer companies, and an inverted U-shaped effect of sustainability competition are found. The innovativeness, referring to the internal environment of supplier companies, appears as another important factor for the allocation of resources to animal welfare, as a sustainability issue.

The results have implications for consumer market companies to deal with sustainability issues that require involvement of their suppliers, for supplier companies to increase their competitive positions and strengthen their relationships within the supply chain, and for policymakers seeking solutions for sustainability issues in the market domain.

While existing literature focusses mostly on the corporate sustainability of highly visible and large consumer companies, to the best of the authors’ knowledge, this study is the first to examine the drivers of supplier companies’ resource allocation for a sustainability issue, namely, animal welfare. It provides insights on what drives supplier companies, usually operating outside the spotlight, to become part of a sustainability transition.

This study is an attempt to apply the techniques of semiotics in conjunction with quantitative analysis to decode and interpret an advertisement which promotes the South Australian Barossa Valley as a tourist destination.

A survey was submitted to a Southeast Asian student and postgraduate sample. Regression analysis and qualitative analysis were carried out, which suggested that the advertisement was engaging the majority of the audience.

Most respondents expressed a desire to visit the location and used language which was evocative and connective. Those who did not or who were turned off by the advertisement's content expressed themselves in language which terminated further engagement.

The sample was a non-target group, but this is an advantage because it provides a base level of unconditioned response.

A better understanding of semiotics may reinforce other areas of marketing endeavour such as social marketing approaches which are gaining more importance in the still developing COVID-19 economy. This methodology can be extended to other marketing communication contexts.

Once campaigns have been aimed at target audiences, there may be potential to orientate another campaign at non-target audiences using the same advertisement. In terms of global marketing, this is extension rather than adaptation.

This study provides an example of how marketing could use semiotics in conjunction with quantitative methods to determine an audience's response and the intention to purchase a product or service.

This study assessed the contribution of containerization to the development of Western Ports, Lagos Nigeria. The aim was to assess the influence of containerization on some indices of port development such as port infrastructure development, ship turnaround time, cargo dwell time and congestion. Questionnaire was used to gather information on the contribution of containerization to change in maritime trade in the country, the influence of containerization on terminal expansion, congestion, level of investment in container port infrastructure as well as the influence of such investment on container dwell time and ship turnaround time (TAT) and the competitiveness of container terminal within Nigeria port systems and with other developed container ports of the world. Secondary data used included statistics of reports of operations of Western Ports between 2000 and 2010 as reported by NPA, as well as reports of some selected ports derived from Containerization International Year Book, which were used in this study for the sake of global reference. Summary tables and ANOVA for the analysis of the data. Results revealed a significant contribution of containerization to maritime trade relative to the ports’ annual records but with no significant influence on ship turnaround time, cargo dwell time congestion which are determinants of port productivity and competitiveness. The study concluded that Western Ports have still not reaped gains of containerization and lacking in competitiveness when compared with other developed ports of the world.

The main purpose of this research paper is to generate a holistic bibliometric study of the tourism industry and COVID-19 fields, to further investigate the current interests and trends emerging from scientific collaboration and thematic analysis and to identify research gaps that indicate future research directions.

This study conducts several analyses, which include the co-authorship and social network analysis, co-citation and keyword co-occurrence knowledge structures. The authors generate a knowledge map of the leading articles and link them with previous literature to elucidate the debates and consensus in research on COVID-19 and tourism.

Research interests concentrate in the USA, China, Europe and the Oceania areas, so more cross-continental collaborations are expected among them and with other regions. Popular topics are tourism sustainable transformation, crisis management and multidisciplinary fields like tourism, hospitality, information technology and environmental sciences. This paper also identifies underexplored topics for future investigation on the social, environmental, cultural and governance dimensions of sustainable tourism.

This paper contributes to guiding tourism researchers in identifying and finding publication references and future collaborations. Moreover, the investigation of knowledge structures could be beneficial for scholars hoping to broaden the current understanding of this field and discover potential for future tourism research, especially in the global pandemic and other severe health crises.

This study enriches the existing literature in the fields of tourism and the pandemic and highlights current interests and research trends exploring scientific collaboration, thematic analysis and knowledge mapping.

The production of the ‘good life’ or the ‘less bad-life’ (Berlant, 2007, 2011), especially among generations of the Marcos dictatorship and the Epifanio de los Santos Avenue revolutions (henceforth, EDSA revolutions) in the Philippines, is animated by the ‘mobility imperative’ (Farrugia, 2016). The mobility imperative includes processes that encourage or demand mobility (Farrugia, 2016) for individuals and institutions. It figures in various ‘systems of practice’ (Levitt, 1998, 2001) among families in migrant-sending communities, government and corporations that magnify how migration is the ticket to better life (McKay, 2012) or its glorification as a heroic act (de los Reyes, 2013, 2014). Among the generations of the Martial Law and the EDSA revolutions, therefore, the ‘good life’ is hinged upon departure as professionals (e.g. nurses and engineers), workers in elementary occupations (e.g. construction and domestic workers) or mail-order brides or pen pals. Put simply, the good life in these generations is a function of remittances.

This chapter examines how the contemporary generation of young people construct the ‘good life’ in differential and new terms (de los Reyes, 2023; McKay & Brady, 2005) from previous generations. Using interviews and vision boards of left-behind children (15–18 years old), it argues that left-behind children critically appraise the ‘mobility imperative’. The chapter shows that there is a growing imagination of alternatives to the migration-induced good life among left-behind children, and therefore, they gradually refuse the ‘mobility imperative’. For them, the aspired good life consists of potentially being employees or entrepreneurs in their own villages and living a life with their own families (de los Reyes, 2019, 2020).

The study explores the relationship among economic growth, population growth, gross savings and energy consumption over the period 1987– 2017.

The autoregressive distributed lag (ARDL) bounds test approach by Pesaran et al. (2001) was employed to investigate variables for the study.

In the key findings, both gross savings and population growth negatively affect economic growth. However, energy consumption has positive impact on economic growth.

These findings call for policy portfolios to address the impacts of gross savings and population growth on economic development. In particular, the financial sector needs to be revamped to be more efficient in channeling funds from the surplus units to the deficit units. It is recommended that investment be made in financial and technological innovation to provide efficient access to credits and other financial products even though individual savings may not move with economic growth.

Many studies have explored the nexus between savings and economic growth without considering population growth and energy consumption. In this study, the relationship among savings, economic growth, population growth and energy consumption provide additional knowledge in policy formulation.

There are several infectious agents in the environment that can cause persistent infections in the host. They usually cause their symptoms shortly after first infection and later persist as silent viruses and bacteria within the body. However, these chronic infections may play an important role in the pathogenesis of schizophrenia and Tourette's syndrome (TS). We investigated the distribution of different neurotrophic infectious agents in TS, schizophrenia and controls. A total of 93 individuals were included (schizophrenic patients, Tourette patients and controls). We evaluated antibodies against cytomegalovirus (CMV), herpes-simplex virus (HSV), Epstein-Barr virus, Toxoplasma, Mycoplasma and Chlamydia trachomatis/pneumoniae. By comparing schizophrenia and TS, we found a higher prevalence of HSV (P=0.017) and CMV (P=0.017) antibodies in schizophrenic patients. Considering the relationship between schizophrenia, TS and healthy controls, we showed that there are associations for Chlamydia trachomatis (P=0.007), HSV (P=0.027) and CMV (P=0.029). When all measured viruses, bacteria and protozoa were combined, schizophrenic patients had a higher rate of antibodies to infectious agents than TS patients (P=0.049). Tourette and schizophrenic patients show a different vulnerability to infectious agents. Schizophrenic patients were found to have a higher susceptibility to viral infections than individuals with TS. This finding might point to a modification in special immune parameters in these diseases.

Technology-enabled business-to-business (B2B) services contribute the largest share to GDP growth and are fundamental for an economy’s value creation. This article aims to identify key service- and digital technology-driven B2B innovation modes and proposes a research agenda for further exploration.

This conceptual paper adopts a techno-demarcation view on service innovation, encompassing three core dimensions: service offering (the service product, or the “what”), service process (the “how”) and service ecosystem (the “who/for whom”). It delineates the implications of three digital technologies – the internet-of-things (IoT), intelligent automation (IA) and digital platforms – for service innovation across these core dimensions in B2B markets.

Digital technology has immense potential ramifications for value creation by reshaping all three core dimensions of service innovation. Specifically, IoT can transform physical resources into reconfigurable service products, IA can augment and automate a rapidly expanding array of service processes, while digital platforms provide the technical and organizational infrastructure for the integration of resources and stakeholders within service ecosystems.

This study suggests an agenda with six themes for further research, each linked to one or more of the three service innovation dimensions. They are (1) new recurring revenue models, (2) service innovation in the metaverse, (3) scaling up service innovations, (4) ecosystem innovations, (5) power dependency and lock-in effects and (6) security and responsibility in digital domains.

The purpose of this paper is to examine the determinants of users’ simulated experience in a virtual store and to show the subsequent impact of that experience on engagement. The outcome of that engagement is examined in relation to enjoyment, satisfaction and purchase intentions.

The method comprised an experiment comparing users’ perceptions of a standard 2D online clothing store with an enhanced, immersive one that aimed to provide shopping value approaching that of a traditional store by using a 3D experience where participants wore special glasses and a data glove.

Results demonstrate the major role of telepresence components in simulated experience and the critical role of that experience, along with hedonic and utilitarian values, in engagement. Purchase intention is influenced by satisfaction, which is in turn influenced by enjoyment and engagement. Engagement in turn is influenced by utilitarian and hedonic value and the experience of product simulation or telepresence, which is composed of control, colour and graphics vividness, and 3D authenticity. In the immersive, 3D environment, experience is more associated with engagement and enjoyment, leading to greater purchase intention. The immersive, 3D environment, thus, has the potential to rival traditional shopping in terms of experience, resulting in higher sales for retailers and satisfaction for consumers.

This work has evaluated a robust model of purchase intention and demonstrated it to hold not only in a 3D environment on a conventional computer platform, but also in an immersive one, where participants wear special glasses and a data glove.