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Higher efficiency and effectiveness of Research & Development phases can be attained using advanced statistical methodologies. In this work statistical methodologies are combined with a deterministic approach to engineering design. In order to show the potentiality of such integration, a simple but effective example is presented. It concerns the problem of optimising the performance of a paper helicopter. The desgin of this simple device is not new in quality engineering literature and has been mainly used for educational purposes. Taking full advantage of fundamental engineering knowledge, an aerodynamic model is originally formulated in order to describe the fligh of the helicopter. Screening experiments were necessary to get first estimates of model parameters. Subsquently, deterministic evaluations based on this model were necessary to set up further experimental phases needed to search for a better design. Thanks to this integration of statistical and deterministic phases, a significant performance improvement is obtained. Moreover, the engineering knowledge turns out to be developed since an explanation of the “why” of better performances, although approximate, is achieved. The final design solution is robust in a broader sense, being both validated by experimental evidence and closely examined by engineering knoweldge.

In the traditional use of conjoint analysis, in order to evaluate the relative importance of several elements composing a service, interviewed customers are asked to express their judgement about different scenarios (specific combinations of elements). In order to reduce the number of possible scenarios, design of experiments methodology is usually exploited. Previous experiences show that, even a limited number of proposed scenarios cause difficulty in answering for the interviewed customer if the scenarios differ for elements of very low interest to him/her. Consequently, a high rate of abandon of the interview has been observed. In this study it is assumed that a service can be decomposed in several improvable elements and/or enriched with new “optionals”. In both cases, what under study is assumed to be a set of dichotomous attributes. For each of these attributes, its marginal contribution to customer satisfaction has to be modelled and estimated. To obtain the required information, an opportune questionnaire is proposed to a sample of interviewed customers. An interviewing procedure consisting in a customer driven design of scenarios is followed, starting from the full‐optional scenario and eliminating one by one the less satisfying elements. for each interviewed customer, a ranking of attributes is so obtained. Then, by asking the interviewed customer to evaluate on a metric scale the scenarios he previously selected, a rating of attributes can also be obtained. A case study conducted in collaboration with a public transportation company is presented. Contrarily to previous experiences, the abandon rate proved extremely reduced.

The purpose of this paper is to investigate consumer’s attitude towards cause-related marketing (CRM). In detail, it aims to assess the relationship between CRM and consumer’s brand loyalty, and whether this relationship is moderated by consumer’s perception of corporate social behaviours. Moreover, the research looks for differences in the above relationship on two samples of consumers born and living in different countries and therefore with different cultural backgrounds.

The research adopts a quantitative methodology using a survey conducted among Italian and Japanese consumers. Ordinary least square regressions models are developed to test the hypotheses.

The findings of this paper indicate a positive relationship between the consumers’ perception of CRM and their brand loyalty perception, regardless the country of origin. Accordingly, the authors found a similar pattern of CRM perception among Italian and Japanese consumers. In addition, the authors found that CRM and the consumers’ perception of corporate social behaviours are not complementary, in the sense their joint effect does not affect consumer’s brand loyalty.

This is one of the first studies addressing the issue concerning the CRM perception of people with in different cultures. In this regard, this study suggests that CRM impacts on brand loyalty regardless the country of origin (Italy and Japan), and consumers’ characteristics such as age, gender, background. In addition, the study indicates that the perceived corporate social responsibility does not increase the effect of CRM on brand loyalty.

Brands today operate in a dynamic business environment, which often requires them to take courageous actions, from taking a stand on controversial issues to responding to changing market needs. However, these actions are not merely strategic but also represent a unique aspect of the brands’ identity, which includes holding up to their core values and being resilient to social pressure. To better understand this positive virtue, the current study introduces the concept of brand bravery – a novel brand archetype that emulates the brand’s distinct identity. This study aims to conceptualize brand bravery and develop a psychometrically sound scale to measure it and investigate its relationship with positive brand relationship outcomes.

Two qualitative studies were conducted to identify the dimensions of perceived brand bravery. Three empirical studies develop and validate the proposed measurement scale and confirm the construct’s nomological validity by proposing a framework that explains the outcomes of perceived brand bravery.

Results from multiple studies support a seven-factor second-order reflective scale of perceived brand bravery, with dimensions altruism, bold, courageous, determined, enduring, fearless and gritty. The construct of brand bravery is found discriminant from other conceptually distinct but related brand attributes. Nomological validity tests further suggest that perceived brand bravery leads to positive consumer-related outcomes such as brand advocacy behaviors, positive attitude and consumer brand identification.

Brand bravery provides a vital roadmap to marketers who have sought to create a leading brand that can stay relevant in times of disruption. The multi-factor scale can help managers track, which dimension of the brand bravery scale is more relevant for shaping overall bravery perception.

The study introduces a novel brand attribute that has not been previously discussed beyond social and moral psychology literature. It conceptualizes brand bravery that will strengthen the understanding of this specific brand characteristic and provides a practical scale to measure brand bravery.

This work aims to assess the potential of a Bio-District as a model for applying the circular economy concerning the waste scope. It aims to understand the capability of organic farms to manage waste with a circular perspective, starting with the use of indicators that directly or indirectly impact the waste scope.

This study is based on previous work that identified and systematised the circular indicators of the agri-food sector within a dashboard. With this research as a basis, the indicators within the waste scope in the dashboard were extracted. Cross-linked indicators with an indirect connection to the waste scope were also systematised and tested in a case study. Primary and secondary data were used for the study. The primary data came from a semi-structured interview, and the secondary data were from official databases.

The work highlights two important results. The first allows the definition of a subclassification of indicators by product and organisation, extracting those with a cross-linked characteristic concerning the waste scope. Secondly, the indicators' application shows the farm's circular and waste valorisation potential within the Bio-District. The study also made it possible to test a new indicator, the “Potential Energy Biomass Recovery”, to measure the farm's potential to produce energy from waste.

This research proposes a new circular economy approach to evaluate waste management in the agri-food sector.

Consumer credit as a proportion of household debt has grown considerably during the last 20 years across many developed countries. A fairly extensive literature from the field of empirical psychology has provided evidence that personality factors and attitudes may influence individuals’ debt financing decisions. The purpose of this paper is to investigate the importance of attitude to credit and three main research questions are addressed. Is there any relationship between attitude and use of consumer credit? Are there any differences between the attitudes of credit users and non‐users that can be associated with motivations for using consumer credit? Does attitude towards credit affect preferences for the financing of consumption?

The authors provide answers based on the results of an original survey of the use of consumer credit conducted on a wide sample of Italian households, which allowed the authors to asses the respondents’ attitudes towards credit and to examine them with respect to credit decisions, controlling for several socio‐economic variables.

The findings indicate that the influence of attitude on consumer credit decisions cannot be ruled out. Attitude toward credit appears to play an important role and is significantly related to motivations for using credit and to the method of choice for financing consumption.

This study improves on most existing research on these topics in the particularly large size and scope of the sample, and also because several studies from the psychological field lack a thorough assessment of household economic conditions and expectations.

This paper aims to draw on a family business perspective to explore the historic accounting records of an Italian liquorice juice business. The applicability of the three-circle model of family business systems to such an historic context is examined.

Using archival records, the Cassa accounting book of the business is studied. Its transactions are examined to distinguish family and business items over the period from 1875 to 1920.

Through an analysis of the accounting records, the family, ownership and business systems are shown to overlap more than typically expected in a contemporary setting.

Contemporary literature suggests the three-circle model of a family business is relatively static, but it has not been applied to an historic context. This study suggests that the model can be applied in historic studies, but it is not static over time with its elements needing refinement.

This paper aims to investigate the impact of cooperative firms on the patterns of regional economic resilience in Italy from 2008 to 2019.

This study uses regional statistics to compute indices of resilience for both real GDP per capita and employment during both recovery and resistance periods. By means of a linear model, the authors investigate the relationships between indices of resilience and the cooperative presence, while controlling for a set of demographic, social and economic variables.

This study shows that during (and after) recessions such regional indices exhibit very different patterns, with notably poorer performance observed in Southern regions compared to the rest of the country. Furthermore, this study illustrates that the size of the cooperative employment improves the overall resilience of regional employment, especially during recovery periods.

The findings hint at policies enhancing the strength and scope of the cooperative movement as a driver of territorial resilience.

To the best of the authors’ knowledge, this is the first study in relating territorial resilience and the presence of a type of companies. This study performs the analysis at the regional level regarding cooperative enterprises. The new findings hint at some policies enhancing the strength and scope of the cooperative movement.

The purpose of this study is to identify, analyse and model the post-processing barriers of 3D-printed medical models (3DPMM) printed by fused deposition modelling to overcome these barriers for improved operational efficiency in the Indian context.

The methodology used interpretive structural modelling (ISM), cross-impact matrix multiplication applied to classification (MICMAC) analysis and decision-making trial and evaluation laboratory (DEMATEL) to understand the hierarchical and contextual relations among the barriers of the post-processing.

A total of 11 post-processing barriers were identified in this study using ISM, literature review and experts’ input. The MICMAC analysis identified support material removal, surface finishing, cleaning, inspection and issues with quality consistency as significant driving barriers for post-processing. MICMAC also identified linkage barriers as well as dependent barriers. The ISM digraph model was developed using a final reachability matrix, which would help practitioners specifically tackle post-processing barriers. Further, the DEMATEL method allows practitioners to emphasize the causal effects of post-processing barriers and guides them in overcoming these barriers.

There may have been a few post-processing barriers that were overlooked by the Indian experts, which might have been important for other country’s perspective.

The presented ISM model and DEMATEL provide directions for operation managers in planning operational strategies for overcoming post-processing issues in the medical 3D-printing industry. Also, managers may formulate operational strategies based on the driving and dependence power of post-processing barriers as well as the causal effects relationships of the barriers.

This study contributes to identifying, analyzing and modelling the post-processing barriers of 3DPMM through a combined ISM and DEMATEL methodology, which has not yet been reviewed. This study also contributes to decision makers developing suitable strategies to overcome the post-processing barriers for improved operational efficiency.