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Sustainability-oriented projects are prevalent on crowdfunding platforms nowadays. The relationship between crowdfunding and sustainability has attracted the attention of many scholars. This study aims to examine the effects of perceived sustainability orientation on value-co-creation behavior from the perspective of backers and explore the mediation effects of three psychological factors: perceived affective reaction, perceived self-effectiveness and perceived risk.

The study recruits 455 backers to evaluate 100 projects on a crowdfunding platform. Structural equation modeling based on partial least squares is used to analyze data and test the hypotheses.

The results show that perceived sustainability orientation influences value-co-creation behavior through perceived affective reaction and self-effectiveness. Furthermore, perceived sustainability orientation impacts participation behavior through perceived risk.

Our study mainly focuses on sustainability-oriented and reward-based crowdfunding projects. Future research can examine other types of projects and other crowdfunding platforms.

These findings can provide implications for project creators to improve the values co-created with backers in future sustainability-oriented projects. Furthermore, the findings can provide implications for backers and help them evaluate crowdfunding projects.

The existing studies are mostly concerned with project creators’ perspectives. This paper is one of the few to investigate how a project’s sustainability orientation influences backers’ psychological factors and value-co-creation behavior.

The importance of crowdfunding has grown considerably in recent years. Its potential as a source of financing has captured the attention of academia. In view of the challenge of creating a cleaner energy system and the considerable investments required to reach this goal, the literature has pointed to crowdlending as a viable alternative due to its social qualities. However, the literature on this regard is still scarce. This paper aims to contribute to this gap by examining some of the critical factors that determine the performance of financing renewable energy projects through crowdlending.

The data collected from the ECrowd! platform is studied through fuzzy-set qualitative comparative analysis (fsQCA) as research method.

The results emphasize the importance of the founders’ presence in social networks and the amount of information provided in the description. They also suggest that investors do not react negatively to projects of larger amounts and terms and that giving rewards does not have a significant impact on the campaigns results.

The literature linking crowdfunding and sustainability is still scarce, which is why this paper contributes to filling this gap by identifying some of the factors that have a significant impact on the performance of campaigns. Critical conditions used are grouped into three categories: loan characteristics, project description and social capital. Conclusions help promoters and platforms to know what actions they should take in order to enhance their campaigns performance.

La importancia del crowdfunding ha crecido considerablemente en los últimos años. Su potential como fuente de financiación ha captado la atención del mundo académico. Ante el desafío de crear un sistema energético más limpio y las considerables inversiones necesarias para alcanzar este objetivo, la literatura ha apuntado al crowdlending como una alternativa viable por sus cualidades sociales. Sin embargo, la literatura al respecto aún es escasa. Este documento tiene como objetivo contribuir a esta brecha examinando algunos de los factores críticos que determinan el desempeño de la financiación de proyectos de energía renovable a través del crowdlending.

Los datos recopilados de la plataforma ECrowd! se estudian utilizando el análisis comparativo cualitativo de conjuntos difusos (fsQCA) como método de investigación.

Las condiciones críticas utilizadas se agrupan en tres categorías: características del préstamo, descripción del proyecto y redes sociales. Los resultados recalcan la importancia de la presencia de los fundadores en las redes sociales y de la cantidad de información proporcionada en la descripción. También sugieren que los inversores no reaccionan negativamente ante proyectos de mayores importes y plazos y que dar recompensas no tiene un impacto significativo en los resultados de las campañas.

La literatura que vincula el crowdfunding y la sostenibilidad es aún escasa, por lo que este trabajo contribuye a llenar este vacío al identificar algunos de los factores que tienen un impacto significativo en el desempeño de las campañas. Las condiciones críticas utilizadas se agrupan en tres categorías: características del préstamo, descripción del proyecto y capital social. Las conclusiones ayudan a los promotores y plataformas a saber qué acciones deben realizar para mejorar el desempeño de sus campañas.

Today, supply chain design and management constitute a major source of competitive advantage for firms. The purpose of this paper is to empirically investigate, from a balanced scorecard strategy map (BSSM) perspective, the types of linkages through which supply chain management practices (SCMPs) impact on financial and non-financial performance, and consequently lead to the achievement of the firm’s strategic objectives.

This study is carried out in two stages. First, based on the survey data collected from 450 French industrial firms (with a return rate of 20.2 per cent), structural equation modelling (SEM) is used to test eight hypotheses that are formulated through the discussion of previous theoretical and empirical findings in extant literature. Then, based on the framework of the BSSM, the SEM results are used to discuss the linkages between SCMPs and firm performance.

After confirming some of the relationships already observed in extant literature, the results show that there are many strategic paths (of different nature) that link SCMPs and other intangible assets to financial performance.

The results of the study constitute a practical contribution that would guide managers in the strategic alignment of their firm’s supply chain initiatives with corporate strategy. The authors argue that when implementing supply chain management initiatives, managers should pay particular attention to how intangible assets act as mediating factors in the achievement of the firm’s financial objectives. The BSC framework that the authors propose can also be used by researchers to investigate causal linkages between intangible and tangible assets.

There are few studies that adopt an extensive multidimensional approach by looking simultaneously at both upstream and downstream linkages of the supply chain whilst taking into account many performance measures. Using the BSSM framework, this paper proposes eight types of linkages that could lead to the achievement of the firm’s strategic goals.

In this research, extracting the innovation drivers of successful crowdfunding from the literature review, screening them for the entrepreneurial small- and medium-sized enterprises (SMEs), analysing the cause-and-effect relationship amongst them and presenting a basic causal conceptual model and eventually determining the importance/weight of each relevant driver were the primary purposes of this research. As a result, the authors have also designed a score function to measure the future innovative crowdfunding score for SMEs.

A multi-layer multi-criteria decision-making (MCDM) approach has been designed and employed to achieve research objectives. After extracting the initial list of drivers, Fuzzy Delphi was applied to screen the relevant innovation drivers of successful crowdfunding for entrepreneurial SMEs. Decision-making trial and evaluation laboratory (DEMATEL) was used to analyse the cause-and-effect relationship amongst the drivers and illustrate a basic conceptual model. Analytical network process (ANP) and Stepwise Weight Assessment Ratio Analysis (SWARA) were applied to determine the importance of the drivers and by aggregating them to measure the innovative crowdfunding score.

Initially, 28 innovation drivers of successful crowdfunding were extracted from the literature. Then by employing the first-round Delphi fuzzy method amongst 15 international entrepreneurs in SMEs, the relevant drivers, including eleven items, were screened and selected. Then by implementing the DEMATEL method, the relationship amongst these screened drivers was identified, and seven drivers were determined as causes and the rest as effects. Subsequently, a conceptual model based on the causal analysis of the drivers from the DEMATEL method was designed. Eventually, by aggregating the weight of drivers emanated from SWARA, DEMATEL and DANP, the score function for measuring the situation of an SME was designed.

According to the crowdfunding scores in this research from entrepreneurs of SMEs, influential factors in developing countries were recognised as two times more prominent in developing countries. This might be rooted in the circumstances of developing countries where many startups and SMEs are emerging in vast areas and different fields due to investment in innovation management. In these countries, the authorities and officials support these companies to empower their capabilities and innovative ideas to (1) deal with the severe competitive market and (2) benefit from them as potential economic engines. Therefore, crowdfunding platforms and public initiatives can be considered one of the most effective government supports, which may involve financial risks.

To the best knowledge of the authors, investigating the innovation drivers of successful crowdfunding via quantitative analysis by multi-layer decision-making approaches has not been considered previously. Moreover, the authors have designed a crowdfunding score function to determine the situation of an entrepreneurial SME in this area. A combination of different MCDM methods, including Fuzzy Delphi, SWARA, DEMATEL, ANP and DANP, to investigate the innovation drivers of successful crowdfunding in SMEs has not been considered previously.

This study aims to systematically review the current academic literature on the role of technologies in low-carbon supply chain management (SCM), identify and analyse critical themes and propose an integrated conceptual model.

A systematic literature review of 48 papers published between 2010 and 2022 was conducted. A conceptual model was advanced.

Based on the analysis and synthesis of the reviewed papers, this review provides an initial attempt to integrate technology adoption and low-carbon SCM by developing a diffusion of innovation model of technology-enabled low-carbon SCM within the technology–organisation–environment (TOE) framework, in which drivers, enablers and barriers to technology adoption practices are identified. The environmental, economic and social outcomes of adoption practices are also identified.

This study provides a novel and comprehensive roadmap for future research on technology-enabled low-carbon SCM. Furthermore, policy, as well as managerial implications, is presented for policymakers and managers.

This paper aims to model organizational resilience structure. Based on the central insights of the scientific literature, organizational resilience is modelled as the result of an organizational capacity to bounce-back and bounce-forward.

The paper is based on a quantitative empirical study to support the structural perspective of organizational resilience and investigate the relationships among the dimensions to test the above hypothesis by applying confirmatory factor analysis (CFA) and structural equation modelling (SEM) methods.

The results confirmed three models that could be adopted to assess organizational resilience. The first model endorsed endogenous positive interrelationship among all three dimensions. The second model indicated that bounce-back dimensions, i.e. network and leadership and culture, have endogenous effects. Only the leadership and culture dimension is positively associated with a bounce-forward, i.e. change-ready and learning dimension. And the third model demonstrated that the network dimension is linked to leadership and culture, which is linked to the change ready and learning dimension.

This study attempts to provide empirical evidence identifying the links between the bounce-back and bounce-forward stages of organizational resilience. These results contribute to the development of organizational resilience theory, confirming the conceptual statements that resilience is the ability to return to the routine and to adapt to the changing environment by overcoming dynamic events, stressing the idea of the importance of enhanced learning capacity, which allows for growth by constantly learning from oneself by gaining unique experiences.

In this chapter, we describe how random utility maximization (RUM) discrete choice models are used to estimate the demand for commodity attributes in quality-differentiated goods. After presenting a conceptual overview, we focus specifically on the conditional logit model. We examine technical issues related to specification, interpretation, estimation, and policy use. We also discuss identification strategies for estimating the role of price and non-price attributes in preferences when product attributes are incompletely observed. We illustrate these concepts via a stylized application to new car purchases, in which our objective is to measure preferences for fuel economy.

The popularity of electric and hybrid cars has been growing worldwide, and Portugal is no exception. Companies have been offered incentives as a way to promote the transition to more sustainable transportation systems and supply chains. Celebrities and influencers are endorsing the new technology, and consumer preferences are changing. However, in Portugal, there are still consumers with misconceptions about the autonomy, cost and reliability of electric cars, which may favour the choice of a conventional car, in a new car purchase decision-making process.

In this study, we analyse whether purchase intention in the near future of an electric car varies with a pro-environmental lifestyle, perceived symbolic value of the electric car, mobility patterns, age, and place of residence, (performance, social, financial and externalities) risk avoidance, consumer perceptions, knowledge about the cost, the autonomy and the existing infrastructures. A sample of 308 Portuguese consumers was collected with an online survey. Results from survey subsample analysis of 170 consumers who unequivocally claim that would opt for an electric vehicle or not show a positive relationship between the purchase intention of an electric car, the fuel cost increase, the proximity of convenient charging places and battery lifetime perception. It was also found that age, knowledge and perceived symbolic value of the electric car, in general, have a positive influence on consumers' choice of an electric car. A negative relationship was found between the purchase intention, social and financial risk avoidance, perceived symbolic value of the electric car in particular and the number of cars each family has.

This study applies the modified brand avoidance model to examine factors that influence sustainable fashion avoidance behaviour among millennial shoppers in South Africa.

A positivistic approach and a web-based online survey were employed to collect cross-sectional data from 423 millennial fashion shoppers. Standard multiple regression analysis was used to test proposed hypotheses.

Unmet expectations, materialism and symbolic incongruence emerged as major predictors of millennials' intention to avoid sustainable fashion. Sustainable fashion avoidance intention was found to have a positive effect on sustainable fashion avoidance behaviour.

This study relied on self-reported data collected from millennial shoppers. Future studies may improve the generalizability of this study's results by conducting a comparative study with other cohorts such as baby boomers and Generation X who espouse different shopping values. Future studies may benefit from the use of longitudinal data in order to understand how millennial shoppers relate to sustainable fashion as it evolves.

The results of this study suggest the importance of developing value propositions that align sustainable fashion with cultural, personality and symbolic cues valued by millennial shoppers. Consumer education on the benefits of sustainable fashion is recommended as a long-term behavioural change strategy.

The purchase behaviour of sustainable fashion should be encouraged as it enhances environmental sustainability including safeguarding the livelihoods of future generations.

This study contributes to literature on sustainable fashion avoidance behaviour. This is one of the pioneering studies to empirically examine the influence of unmet expectations, symbolic incongruence and ideological incompatibility in the context of an emerging market, such as South Africa.

The purpose of this paper is to define the main dimensions/aspects of resilient organizations and propose a benchmarking model to assess an organization's resilience in the context of uncertainty.

The systematic literature review method was applied to collect and synthesize relevant scientific literature from 2001 to 2022 to construct and validate a methodological approach.

This paper proposes a conceptualization of organizational resilience as the capacity of an organization to first remain stable; then prepare, absorb and recover after a crisis; adapt to the new environment; and, finally, use the developed experience to enhance the capacity for transformation, playing an essential role for coping with uncertainty.

Resilience is recognized as organizations’ ability to adapt to the new conditions, influenced by the crises. Moreover, it supports the recognition of the learning phase that allows for growth by constantly learning from emerging situations and gaining unique experiences. These observations allow us to suggest the twofold approach. The first distinguishes the resilience as organizations’ ability to adapt to the changing environment, that is, bounce back, while the second highlights the importance of learning capacity, that is, bounce forward.

The authors suggest to adopt the conceptual framework of the bounce forward phenomenon using the Resilient Organizations’ Resilience Benchmark Tool to assess organizational resilience. This would determine the overall resilience by identifying the links between bouncing back (preparing, absorbing, recovering and adapting) and bouncing forward (enhancing learning capacity).

Having reviewed the methodologies in the extant literature to evaluate organizational resilience and explored the similarities and differences between them, the authors concluded that the Resilient Organizations Resilience Benchmark Tool (2017) is the most appropriate three-dimensional tool because of its universality and comprehensive scope. These three dimensions consist of: leadership and culture; networks; and change readiness. This methodology assesses organizations' perspectives regarding resilience based on their ability to respond to and manage crises and their ability to bounce forward successfully.