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This research proposes ideal interaction patterns for structural dimensions (buyer and supplier representatives involved in the interaction and buyer and supplier critical capabilities) for transport service outsourcing. The purpose of this paper is to establish whether those ideal interaction patterns are determinants of success of the interaction. In this paper, the latter is measured against the corresponding process success and outcome success.

This paper proposes a conceptual model based on the prior literature and adapted to this specific case of transport services. The proposed model is approached using the partial least squares simultaneous equation models. For this, the result of a survey to senior management at European machinery, electronics and automotive sector manufacturing plants has been used.

When companies possess the proposed ideal patterns for the structural dimensions, this brings with it positive effects on both the process success and the outcome success obtained by the outsourcing plant. Therefore, buyer-supplier relationships have been recognized to play a key role in the outcomes of this interaction and that the design and management of interfaces between companies and their logistics providers are critical.

Managers can use the present research findings to produce an appropriate interaction design that includes the representatives and capabilities required to make transport service outsourcing a success.

This paper contributes to the literature on transport research by specifically establishing ideal interaction patterns for the structural dimensions that buyer and supplier’s companies need to consider for achieving successful transport services outsourcing. Besides, the present research proposes a multidimensional measure of outcome success that combines major strategic, operational and financial outputs. Finally, this research represents the first survey-based empirical evidence on the topic, having used a sample of 93 plants belonging to many different companies in five European countries.

This research aims to evaluate the factors that influence logistics outsourcing, including the impact of logistics outsourcing on measuring companies' logistics performance. This research provides interactions among the various factors (constructs) such as “financial”, “collaboration and process characteristics”, “external influencer”, and “logistics performance”.

To investigate the interaction between the constructs, structural equation modelling is proposed to understand what the relevant criteria are while outsourcing logistics. Data were acquired from surveys conducted with 129 managers from Brazilian companies in the industry sector.

The factor “collaboration and process characteristics” is what most influences the “logistics performance” of companies, highlighting the importance of managing contractors; and the “financial” factor also contributes to the logistic outsourcing decision.

Some limitations of this study need to be clarified. First, the model could test the moderate and mediate aspects by using variables inspired on RBV and TCE. Second, the sample is relatively small and restricted to the Brazilian industries' case, although the results may be useful for other countries in the world. Third, the responses represent viewpoints of the people who work in the companies. To address this issue, the authors asked respondents to fill out the questionnaire from the perspective of the organisation.

Most 3PL come from developed countries and find different requirements in Brazil. Then, this new knowledge may help 3L providers better understand the needs of the local or foreign companies that operate in the local market. The measurement model may also help to construct a new organisational process, as it sheds light on the main elements necessary for gathering logistics performance outcomes.

To the best of the authors' knowledge, the literature lacks studies on the interaction among these logistics outsourcing constructs, mainly in emerging markets where significant growth opportunities have led to logistics activities being outsourced. The literature that examines the impact of these constructs on logistics performance is also limited. Therefore, this research contributes to providing a model that measures these impacts according to the company's point of view.

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.

This paper studies the critical factors from the perspectives of technological quality, personal compatibility and organisational commitment using the technological adoption framework (TAF). The proposed TAF studies the critical factors that influence the intention to use building information modelling (BIM) taking into consideration of the “Perceived Ease of Use (PEU)” and “Perceive Usefulness (PU).”

The proposed study is a quantitative research study using the TAF model and the statistical analysis using “Partial Least Squares-Structural Equation Modelling (PLS-SEM).” The questionnaires are developed based on the literature review study and disseminated to the stakeholders in the Malaysian construction industry, including consultants, contractors, and clients. The data collected are analysed using PLS-SEM to identify the correlation between the critical factors influencing BIM adoption and the moderation influence of the PEU and PU towards the “Intention to Use (IU)” BIM.

The data collected from 185 construction industry stakeholders in Malaysia was utilised to develop the structural equation model. The measurement model was analysed in terms of composite reliability, discriminant validity, and collinearity issues. Subsequently, the SEM is analysed, and the findings on the hypothesis on the correlation between the critical factors and the intention to use BIM are examined. The study also examines the mediation effects of the PEU and PU towards the BIM adoption in the Malaysian construction industry.

This research conceptual framework, TAF, is derived from the integration of the existing underpinning theories of the technological adoption model and the technology–organisation–environment framework. This new TAF can be used for the study of new technology adoption. This cross-sectional research study is in line with the “Construction 4.0 Strategic Plan” in Malaysia to establish the current BIM adoption scenario and formulate the framework to promote incentives to promote BIM adoption.