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Sustainable management requires companies to build up new knowledge to acquire the competencies needed for action. This chapter aims to deliver knowledge about sustainability and knowledge for sustainability. Firstly, we systematically analyse the sustainability literature in the social sciences through a bibliographic analysis and topic modelling using VOSviewer and Mallet software. We outline research directions, themes and critical contributions for each research cluster identified. Additionally, we categorise over 30 definitions of sustainability identified by Meuer, Koelbel, and Hoffmann (2020). Secondly, we enumerate knowledge types needed for effective sustainability transitions of organisations. We trace typologies of sustainable business models and their distinct evaluations of sustainability. In this chapter, we argue that integrating the triad of social, ecological and economic goals is central for sustainability attempts as well as long-term thinking. Therefore, our research offers a comprehensive overview of sustainability in the social sciences supporting researchers and practitioners to navigate this miscellaneous and scattered field. Accordingly, our study is precious to young scholars researching sustainability who want to use the term in an informed and meaningful way.

The purpose of this paper was to explore the development of the professional identity of South African intern psychologists during the COVID-19 pandemic. This paper – that presents a historical reflection borne from a significant moment in time – aimed to capture what the authors can learn from this specific cohort of intern psychologists and their experiences of work-based learning.

Through the lens of the interpretative phenomenological approach, the authors analysed seven semi-structured interviews. Data analysis involved a line-by-line analysis of each individual transcript, where after a thorough, in-depth analysis was conducted across all the cases.

Against the background of the COVID-19 pandemic, the findings demonstrated the interns' initial uncertainties, severe exhaustion, perceived gaps in their training, and resilience despite unusual and difficult circumstances in their WBL internship.

The study was limited to seven intern psychologists in South Africa.

The findings suggest that support – during and after the COVID-19 pandemic – is crucial throughout the training of psychologists and means to facilitate and develop professional identity and resilience. This will provide the opportunity to safeguard emerging healthcare professionals from burnout while simultaneously advocating for supportive WBL and continual professional development spaces protecting healthcare professionals and the public.

With this article, we explored the impact of the COVID-19 pandemic on the professional identity development of intern psychologists (psychologists in training). The authors expand on the aforementioned original contribution, since the authors situate their research within the Global South. More specifically, the authors explored how intern psychologists' developed their professional identities against the backdrop of a largely resource-scarce context of South Africa.

Currently, China’s manufacturing industry chain still faces the danger of chain breakage due to the persistent “lack of technology” issue. The definition and detection of key nodes in the industry chain are significant to the enhancement of the stability of the industry chain. Therefore, detecting the key nodes in the manufacturing industry chain is necessary.

A complex network based on the links amongst listed manufacturing enterprises is built, and the authors analyse the network’s basic characteristics and vulnerability, taking into account the impact of scientific and technological innovation on the stability of the industry chain.

It is found that the high structural characteristic of midstream nodes in the naval architecture and marine engineering equipment industry chain determines their importance to stability, and the key status of upstream nodes is reflected in the weakness of technological innovation. The upstream nodes should focus on improving their independent innovation and R&D capability, whilst the midstream nodes should maintain a close supply–demand cooperation relationship.

The key node detection model for industry chain stability is constructed by considering various factors from the perspective of network and technological innovation. Empirical study is conducted to verify effectiveness of proposed method.

The purpose of this research is to (1) identify factors affecting food choices of young adults in Canada based on environmental perceptions, personal and behavioral factors as determinants of eating behaviors; (2) segment Canadian young adults based on the importance of the identified factors in their food choices.

An online survey was administered to Canadians aged between 18 and 24 to collect data on socio-demographic factors and eating behaviors (N = 297). An exploratory factor analysis (EFA) was used to identify the main factors affecting eating behaviors in young adults, followed by K-means clustering to categorize the respondents into consumer segments based on their propensity to agree with the factors.

Six factors were extracted: beliefs (ethical, environmental and personal); familiarity and convenience; joy and experience; food influencers and sociability; cultural identity; and body image. Using these factors, six consumer segments were identified, whereby members of each segment have more similar scores on each factor than members of other segments. The six consumer segments were: “conventional”; “concerned”; “indifferent”; “non-trend follower”; “tradition-follower”; and “eat what you love”.

Identifying major factors influencing eating behaviors and consumer segmentation provides insights on how eating behaviors might be shaped. Furthermore, the outcomes of this study are important for designing effective interventions for shaping eating behaviors particularly improving sustainable eating habits.

Bayesian cubature (BC) has emerged to be one of most competitive approach for estimating the multi-dimensional integral especially when the integrand is expensive to evaluate, and alternative acquisition functions, such as the Posterior Variance Contribution (PVC) function, have been developed for adaptive experiment design of the integration points. However, those sequential design strategies also prevent BC from being implemented in a parallel scheme. Therefore, this paper aims at developing a parallelized adaptive BC method to further improve the computational efficiency.

By theoretically examining the multimodal behavior of the PVC function, it is concluded that the multiple local maxima all have important contribution to the integration accuracy as can be selected as design points, providing a practical way for parallelization of the adaptive BC. Inspired by the above finding, four multimodal optimization algorithms, including one newly developed in this work, are then introduced for finding multiple local maxima of the PVC function in one run, and further for parallel implementation of the adaptive BC.

The superiority of the parallel schemes and the performance of the four multimodal optimization algorithms are then demonstrated and compared with the k-means clustering method by using two numerical benchmarks and two engineering examples.

Multimodal behavior of acquisition function for BC is comprehensively investigated. All the local maxima of the acquisition function contribute to adaptive BC accuracy. Parallelization of adaptive BC is realized with four multimodal optimization methods.

The purpose of this paper, applying concepts in the plant-based food sector, is a focus on the competitive rival trap for startup firms, with their initial advantage for under-served market segments, only to be overtaken by scale, speed, and brands of incumbent brand firms. As a case study of industry transformation, the food production sector illustrates how organizational innovation brings new forms of rivalry, from the farm gate to the kitchen plate. As a result, startups face a rivalry trap, if unable to scale quickly, as incumbents reframe their strategic response with startup acquisitions, corporate incubators or alliance partnerships consumer demand.

This paper outlines the features of precision agriculture, a new paradigm for agriculture and food production, requiring new competences and skillsets in the protein revolution, including issues like virus, bacteria and the molecular structure of food groups, animal breeding and veterinary medicine. Plant-based foods is used as a case study for startups and the rivalry trap.

The emergence of plant-based foods is a case study of market opportunity and creative destruction, where the potential market varies from $25bn to $72bn, and growing faster in the dairy sector. However, food incumbents bring new strategic responses and a rivalry trap, where startups must gain scale quickly in capabilities, talent and marketing prowess, often exploiting demand in market niches unimpeded by incumbent rivals.

Startups in biological sciences face massive challenges to increase scale and scope, even with unique intellectual property.

Startup firms need multidisciplinary management teams with a global outlook.

Plant-based foods form part of the protein revolution but face challenges of scale, cost competitiveness and taste, despite advantages for climate mitigation.

The impact of technological and science applications has blurred the traditional concept of industry boundary, with huge variations in the intangible knowledge component in their core activities and capabilities. Underlying variations imply that not all industries have similar supply demand conditions, with variations in input costs, capital intensity and innovation needs, with strategic implications for the rivalry trap.

This research aims to investigate the direct and indirect (via creative self-efficacy [CSE] and thriving) effects of regulatory focus (RF) on employee intrapreneurship (EI) in Pakistan’s small- and medium-sized enterprises (SMEs).

A time-lagged (six weeks apart) design is used to collect data through self-administered questionnaires. The researchers retrieved 492 usable responses from frontline employees working in SMEs.

The results showed the positive direct and indirect (via CSE and thriving) effects of promotion focus on EI. As expected, the results showed negative direct and indirect effects of prevention focus on intrapreneurship. The follow-up analysis revealed the mediating effect of CSE is stronger for the promotion focus and intrapreneurship, and the mediating effect of thriving is stronger for prevention focus and intrapreneurship.

This study reveals the importance of RF facets as important predictors of EI. The study highlights the importance of intrapreneurship in emerging economies, but expecting such behavior from every employee is a fallacy. Thus, decision-makers in organizations can nurture prevention-focused employees to engage in intrapreneurship.

This is a pioneer study to include RF (promotion focus and prevention focus) in an emerging country – Pakistan – to reveal its significance in EI. It establishes CSE and thriving as mediating mechanisms between RF and EI for the first time to offer new insights into theory and practice.