CEGE - Documentos de Conferências / Conference Objects
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- Generative AI and the quest for sustainability: affordances and trade-offs across the triple bottom linePublication . Trocin, Cristina; Palese, BiagioGenerative Artificial Intelligence (GenAI) is increasingly deployed to create new content rapidly, with emerging affordances that may support Sustainable Development Goals (SDGs) (Seidel et al., 2013). The overarching aim of SDGs is to harmonize people, planet, and profit through more informed and adaptive organizational practices. While GenAI is often framed as a tool for efficiency, for enhancing cost savings and productivity (Ooi et al., 2025), this view neglects its potential to enable systemic transformations at the nexus of sustainability and advanced technologies (Kotlarsky et al., 2023). Currently, little is known about how organizations can leverage GenAI in ways that simultaneously address the economic, social, and environmental pillars of the Triple Bottom Line. Moreover, research has largely emphasized GenAI’s automation potential, with limited attention to its affordances for human–GenAI collaboration (Volkoff & Strong, 2013), such as judgment enhancement, supervisory functions, and adaptive decision- making. Our study addresses this gap by asking: how are international organizations leveraging GenAI to achieve sustainability goals? We conducted an exploratory case study involving 21 semi- structured interviews with professionals applying GenAI for sustainability across industries and countries, complemented by archival data, and analyzed using the Gioia methodology. Our findings show that GenAI is predominantly applied to advance economic and social sustainability through automation and enhanced human-GenAI collaboration. However, environmental considerations remain secondary, despite being a primary organizational motivation for pursuing sustainability initiatives. This study contributes to the literature on sustainability and human–GenAI collaboration by highlighting both opportunities and trade-offs in using GenAI for sustainability. We emphasize the need for more integrated and context-sensitive research to better understand how GenAI can address all three pillars of the Triple Bottom Line.
- Capabilités interprétativesPublication . Mendes, Américo M. S. Carvalho
- Courts performance: the case of PortugalPublication . Lopes, Nuno Q. M.; Silva, Maria C. A.For some time now, the judicial systems of countries have been intrinsically connected to their development. This analysis uses data from 2015 to 2021 on every bench in the Portuguese first instance courts, consisting of 3,249 observations and 12 different variables. To analyze the efficiency of benches, their economies of scale and their economies of scope Data Envelopment Analysis was used. The results uncovered is economies of scope (specialised benches are more efficient than generic benches), and diseconomies of scale with some specialised benches experiencing decreasing returns to scale (criminal, enforcement and commerce benches) while others experienced increasing returns (Civil and generic benches).
- What cultural differences really matter for managers? Towards a new model of cultural distancePublication . Silva, Susana Costa e; Reis, Nuno Rosa; Santos, João CarvalhoCultural differences play a central role in International Business research. Despite receiving a great deal of attention from scholars, the effect of cultural differences is still not completely understood. While the importance of cultural differences in conducting business abroad is widely accepted, extant research provides mixed results on their impact. We argue that one of the reasons why cultural differences’ impact is not fully understood are the shortages in the national cultural distance construct (Kogut & Singh, 1988), especially in the globalized and fast-changing contemporary world. Specifically, we identify three shortcomings in the current national cultural distance construct: (1) cultural differences are becoming increasingly less relevant among managers working in internationally oriented firms; (2) organizational cultural differences may prove more relevant than national cultural distance, especially since many firms have global operations; (3) the cultures’ reputation is not symmetric, i.e., the perceptions of the cultural differences are not taken into account. Thus, we present a conceptual model which addresses these shortcomings and we arguably contribute to a better understanding of the impact of national cultural distance. We discuss our proposed model and we put forward some avenues for future research.
- Servitization and differentiation advantage: an empirical investigationPublication . Sousa, Rui; Silveira, Giovani daThis study theoretically articulates and empirically tests a model of the role played by advanced services (ADS) in supporting a business strategy based on product and service differentiation, taking into consideration the complexity of the business environment. Based on survey data from 931 manufacturers, we find that: i) environmental complexity has a positive impact on strategic focus on product and service differentiation; ii) strategic focus on product and service differentiation, but not environmental complexity, have a positive impact on ADS; iii) ADS have a positive impact on service differentiation advantage, but not product differentiation advantage.
- Subscription programs in omnichannel grocery retailing: implications for revenue and fulfilment operationsPublication . Sousa, R.; Rabinovich, E.; Lim, S.; Park, S.This paper investigates the implications for revenue and fulfillment operations of the introduction of online subscription programs to pay for home delivery in omnichannel grocery retailing. Based on data on consumer-level transactions in a retailer before and after the introduction of a subscription program, we find that subscribers increase their online product spending after joining the program. However, the online product sales contribution is offset by changes in consumers’ behaviors intended to extract economic benefits from joining the program, with negative impacts on fulfillment operations. We discuss the implications of these findings for the design of subscription programs and fulfillment operations.
- Improving freight quoting through business analytics: a case study of a logistics service providerPublication . Gonçalves, João N. C.; Correia, Miguel; Carvalho, M. SameiroIn the transportation sector, the process of estimating the profit margins to be applied to customer freight quotation requests is a problem of particular interest, which impacts strongly on customer relationship management. In practice, this process is typically conducted based on the subjective business experience of transport managers, posing challenges and delays in decision-making that can damage the customer relationship. This article explores a multivariate predictive analytics approach to support the process of estimating profit margins applied to customers for road freight transportation requests. Our approach consists of developing statistical learning models that make it possible to generalize historical relationships between a set of independent variables related to quotation requests and the respective profit margin applied and accepted by customers. The proposed approach is tested on empirical data from a portuguese logistics service provider. The results show that the proposed models have a good generalization capacity when tested on independent data under a rolling window evaluation mechanism. We discuss the managerial implications of the proposed approach and how it can serve as a decision support tool for applying profit margins to future requests for road freight transport quotation.
- A decision support system towards proactive management of academic successPublication . Gonçalves, João Nuno; Silva, Maria Conceição; Vilaça, MiguelThis study presents a decision support system (DSS) for the proactive management of academic success in the context of Universidade Católica Portuguesa (UCP), Portugal. The DSS takes advantage of descriptive and predictive business analytics techniques to extract knowledge from data that characterize the profile of students according to multiple dimensions. In particular, the system offers three main functionalities: (i) the benchmarking of information between the university’s campuses; (ii) the (descriptive) modeling of the academic success rate, including the formulation of a closed-form expression to measure success; and (iii) the (predictive) modeling of student dropouts. While the proposed DSS is designed for the reality of a single higher education institution, it could serve as a benchmark for researchers and academic staff from other higher education institutions interested in developing similar projects.
- Trust and relational capital in international alliances: an empirical evidence from Portuguese industryPublication . Silva, S. C.; Shahzad, K.; Figueira-de-Lemos, F.; Ali, T.International alliances (IAs) are popular yet complicated collaboration strategy as it involves cross-border partnership. Successfully managing such alliances has been remained debatable for long. Therefore, the purpose of this paper is to investigate the antecedents and determinants of trust and relational capital in the success of IAs. The analysis of survey data drawn from 232 Portuguese firms engaged in international business activities suggests that the performance of IAs is dependent on socially embedded mechanisms of mutual trust and relational capital that facilitate the cross-border collaboration. This means that trust and relational capital are accumulated after years of experience with partners and can be considered as assets. Moreover, we found that when shared values are aligned and embedded in social exchange approach and an increased reciprocity of information between partners exists, it leads to bridge distance and foster trust. While perception of the risk encapsulated in a particular relationship has a negative effect over trust, explaining that perceived relational risk is an important ingredient in the evaluation of the quality of a relationship. These findings have important theoretical and managerial implications in the context of cross-border alliances.