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- High-Tech Defense Industries: Developing Autonomous Intelligent SystemsPublication . Reis, João; Cohen, Yuval; Melão, Nuno; Costa, Joana; Jorge, DianaAfter the Cold War, the defense industries found themselves at a crossroads. However, it seems that they are gaining new momentum, as new technologies such as robotics and artificial intelligence are enabling the development of autonomous, highly innovative and disruptive intelligent systems. Despite this new impetus, there are still doubts about where to invest limited financial resources to boost high-tech defense industries. In order to shed some light on the topic, we decided to conduct a systematic literature review by using the PRISMA protocol and content analysis. The results indicate that autonomous intelligent systems are being developed by the defense industry and categorized into three different modes—fully autonomous operations, partially autonomous operations, and smart autonomous decision-making. In addition, it is also important to note that, at a strategic level of war, there is limited room for automation given the need for human intervention. However, at the tactical level of war, there is a high probability of growth in industrial defense, since, at this level, structured decisions and complex analytical-cognitive tasks are carried out. In the light of carrying out those decisions and tasks, robotics and artificial intelligence can make a contribution far superior to that of human beings.
- The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive IndustryPublication . Fernandes, Jorge; Reis, João; Melão, Nuno; Teixeira, Leonor; Amorim, MarleneThis article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.
- Omni-Channel Service Architectures in a Technology-Based Business Network: An Empirical InsightPublication . Reis, João; Amorim, Marlene; Melão, NunoThis article investigates the existing omni-channel service architectures in the front-office of technology-based business networks. It discusses the implications from the existing alignment between the network-preferred channel with other channels and clients. The methodological approach is qualitative, exploratory in nature, and employs case study research in a large private retail bank in Portugal. It includes multiple sources of data collection for corroboration purposes, including semi-structured interviews, direct observation and institutional documents. Although we have identified four types of omni-channel architectures in a business network context, the case analysis revealed that only two of them meet all the requirements, namely: the mixed services and pure virtual services. For academics this is the first attempt to discuss a growing topic in the operations management literature. Thus, this study may also help practitioners to understand the challenges they may have to deal with an omni-channel strategy in a business network context.
- Multichannel service failure and recovery in a O2O era: A qualitative multi-method research in the banking services industryPublication . Reis, João; Amorim, Marlene; Melão, NunoThis article aims to investigate how service providers are employing their channels to support the handling of customer complaints in an online to offline era. It provides a timely contribution by characterizing multichannel recovery practices, discussing its implications for customers, and discovering new trends. The study employs a qualitative multi-method research, which includes not only more than one method of collecting data, but also more than one method of analyzing data. Data collection involved 50 records of customer complaints, 10 semi-structured interviews, direct observation and internal bank reports. The results suggest that multichannel customers are not willing to interact with a large number of channels to solve their problems leading to a high number of interactions. Customers expect a complex recovery not in terms of interactivity but in terms of depth. Recovery solutions, such as apologizing and monetary compensations are non-permanent solutions, are inefficient in the long term and imply financial losses. Despite the investment that is required, this investigation advocates for permanent solutions. To avoid service failures and complex recovery processes, it is possible that companies are improving their operations management in search of new strategies that are blurring the boundaries of O2O into a mix of offline and online channels (O2).
- Service failure and recovery in technology-based business networksPublication . Reis, João; Amorim, Marlene; Melão, NunoPurpose – This paper aims to investigate how service providers are using their channels to support the handling of customer complaints in a technology-based business network (Tb2N) environment. It aims to discuss the implications from existing misalignments between the service delivery debilities and the complexity of the Tb2N recovery process. Design/methodology/approach – This study used an exploratory case study research conducted in a Portuguese private bank. Data collection involved multiple sources for corroboration purposes, such as reports from customer complaints, semi-structured interviews, direct observation and official documents. Data were analysed to identify paths and relationships between constructs, to reduce data, to enable interpretation and to achieve valid and reliable results. Findings – The case analysis revealed four types of Tb2N debilities: weaknesses in what concerns the channel migration to new technologies, automated physical and virtual barriers in accessing the firms’ common channel, non-automated barriers concerning the cross-training of employees and, finally, barriers concerning the service operations management. Originality/value – To the best of the authors’ knowledge, this is the first attempt to characterize the service failure and recovery in a Tb2N context. Complaint management is an essential tool for managers, as failures in service delivery are inevitable and the recovery of such encounters encompasses significant challenges. For academics, this is the first effort to discuss a growing topic in the operations management literature. Further investigation is needed, and with this contribution, the authors expect to stimulate other researchers to provide their contribution.
- Defence industries and open innovation: ways to increase military capabilities of the Portuguese ground forcesPublication . Reis, João; Melão, Nuno; Costa, Joana; Pernica, BohuslavThe European Defence Industry is undergoing profound changes. Industrial activity is now operating on a quintuple helix innovation model with the deep involvement of universities and governments in innovation. In addition, military innovations are being transferred to civil society, with increasing attention paid to the environment. In the first stage, we report on the state-of-the-art of existing research using PRISMA protocol. The PRISMA technique is widely accepted by the academic community for its ability to discover concepts, ideas, and debates about the defence industry. In the second stage, we present a case study involving the Portuguese Defence Industry, for which multiple data collection sources were used to ensure triangulation and corroboration. The results show that, in the light of the quintuple helix innovation model, it was possible to bring applications from theoretical discussion to real life. Moreover, within the scope of the triple helix, it was possible to develop, produce and test military products, allowing to improve the military capacity of ground forces. In the future, ecological concerns will likely increase, so we suggest a greater focus on this area of research.
- Service robots in the hospitality industry: The case of Henn-na hotel, JapanPublication . Reis, João; Melão, Nuno; Salvadorinho, Juliana; Soares, Bárbara; Rosete, AnaServices are changing at an impressive pace boosted by the technological advances felt in Robotics, Big Data, and Artificial Intelligence (AI) that have uncovered new research opportunities. Our objective is to contribute to the literature by exploring the pros and cons of the use of service robots in the hospitality industry and to practice, by presenting the architectural and technological characteristics of a fully automated plant based on a relevant case. To achieve such goal, this article uses a systematic literature review to assess the state-of-the-art, characterize the unit of analysis, and find new avenues for further research. The results indicate that, in high customer contact settings, service robots tend to outperform humans when performing standardized tasks, because of their mechanical and analytical nature. Evidence also shows that, in some cases, service robots have not yet achieved the desired technological maturity to proficiently replace humans. In other words, the technology is not quite there yet, but this does not contradict the fact that new robot technologies, enabled by AI, will be able to replace the employees’ empathetic intelligence. In practical terms, organizations are facing challenges where they have to decide whether service robots are capable of completely replacing human labor or if they should rather invest in balanced options, such as human-robot systems, that seem to be a much more rational choice today.
- Digital Transformation: A Literature Review and Guidelines for Future ResearchPublication . Reis, João; Amorim, Marlene; Melão, Nuno; Matos, PatríciaThe aim of this paper is to provide insights regarding the state of the art of Digital Transformation, and to propose avenues for future research. Using a systematic literature review of 206 peer-reviewed articles, this paper provides an overview of the literature. Among other things, the findings indicate that managers should adapt their business strategy to a new digital reality. This mainly results in the adaptation of processes and operations management. Scholars, for the other side, are also facing challenges, as prior research may not have identified all the opportunities and challenges of Digital Transformation. Furthermore, while the Digital Transformation has expanded to all sectors of activity there are some areas with more prospects of being developed in the future than others.
- Impact of Artificial Intelligence Research on Politics of the European Union Member States: The Case Study of PortugalPublication . Reis, João; Santo, Paula; Melão, NunoCurrently, artificial intelligence (AI) is at the center of academic and public debate. However, its implications on politics remain little understood. To understand the impact of the AI phenomenon on politics of the European Union (EU), we have carried out qualitative multimethod research by performing a systematic literature review and a case study. The first method was performed according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA), in order to report the state-of-the-art in the existing literature and explore the most relevant research areas. The second method contained contributions from experts in data science and AI of the Portuguese scientific community. The results showed that solutions such as intelligent decision support systems are improving the political decision-making process and impacting the Portuguese society at local, regional, and national levels. We also found that practitioners and scientists are currently shifting their interests from environmental and biological sciences to healthcare services, which is bringing new challenges in terms of protecting patient/citizen data and growing concerns about handling of critical information. Future research may focus on comparative studies with other EU States to obtain a comprehensive and holistic understanding of the AI phenomenon
- Artificial Intelligence in Government Services: A Systematic Literature ReviewPublication . Reis, João; Santo, Paula Espírito; Melão, NunoThe aim of this paper is to provide an overview on how artificial intelligence is shaping the digital era, in policy making and governmental terms. In doing so, it discloses new opportunities and discusses its implications to be considered by policy-makers. The research uses a systematic literature review, which includes more than one technique of data analysis in order to generate comprehensiveness and rich knowledge, we use: a bibliometric analysis and a content analysis. While artificial intelligence is identified as an extension of digital transformation, the results suggest the need to deepen scientific research in the fields of public administration, governmental law and business economics, areas where digital transformation still stands out from artificial intelligence. Although bringing together public and private sectors, to collaborate in the public service delivery, presents major advantages to policy makers, evidence has also shown the existence of negative effects of such collaboration.