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"Wamba, Samuel Fosso"
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Advanced AI techniques and applications in bioinformatics
\"The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers\"-- Provided by publisher.
Book
Moral Judgments in the Age of Artificial Intelligence
The current research aims to answer the following question: “who will be held responsible for harm involving an artificial intelligence (AI) system?” Drawing upon the literature on moral judgments, we assert that when people perceive an AI system’s action as causing harm to others, they will assign blame to different entity groups involved in an AI’s life cycle, including the company, the developer team, and even the AI system itself, especially when such harm is perceived to be intentional. Drawing upon the theory of mind perception, we hypothesized that two dimensions of mind: perceived agency—attributing intention, reasoning, pursuing goals, and communicating to AI, and perceived experience—attributing emotional states, such as feeling pain and pleasure, personality, and consciousness to AI—mediated the relationship between perceived intentional harm and blame judgments toward AI. We also predicted that people are likely to attribute higher mind characteristics to AI when harm is perceived to be directed to humans than when it is perceived to be directed to non-humans. We tested our research model in three experiments. In all experiments, we found that perceived intentional harm led to blame judgments toward AI. In two experiments, we found perceived experience, not agency, mediated the relationship between perceived intentional harm and blame judgments. We also found that companies and developers were held responsible for moral violations involving AI, with developers received the most blame among the entities involved. Our third experiment reconciles the findings by showing that perceived intentional harm directed to a non-human entity did not lead to increased attributions of mind to AI. These findings have implications for theory and practice concerning unethical outcomes and behavior associated with AI use.
Journal Article
Social media adoption and use for improved emergency services operations: the case of the NSW SES
Despite the exponential growth of social media in emergency services design and delivery, academic research and managerial practice have paid little attention to how to adopt and use it to transform operations and enhance organizational performance. This paper aims to provide some insights of a longitudinal case study of the adoption and use of social media technologies by the New South Wales (NSW) state emergency service (SES) in Australia. The study identifies a set of internal and external factors explaining the adoption and use of social media by the NSW SES including: the social media bandwagon effect, the effectiveness of social media use during the January 2011 Queensland floods, the NSW state strategic planning on emergency services, the opportunity offered by the upgrade of the NSW SES web site, and a strong internal management leadership toward the use of social media to support emergency operations. Finally, implications for research and practice are discussed.
Journal Article
The metaverse as a breakthrough for operations and supply chain management: implications and call for action
PurposeThe metaverse development is in the early stages in most organizations and supply chains. There has been exponential growth in metaverse investments by leading tech and other types of companies and governments worldwide. This article aims to shed light on the topic by providing detailed insights for the operations and supply chain management (O&SCM) community concerning the potential, opportunities and challenges associated with the metaverse.Design/methodology/approachThe authors mapped 15 benefits and 15 challenges regarding metaverse in O&SCM-related fields from the literature, which in turn were empirically tested by a panel with 150 experts from more than 12 countries, from operations and supply chains and with experience in metaverse technologies.FindingsThe authors found notable similarities and differences between metaverse adopters and non-adopters in the O&SCM. Accordingly, some benefits and challenges are expected before and after the implementation, but it's still relevant. In contrast, there are ones that change their importance after the implementation.Research limitations/implicationsFirst, this paper points out the need for an urgent call for action to develop high-quality research on the interplay between metaverse and O&SCM. Second, the metaverse will reshape several established business models by offering new products and services, consequently resulting in the remodeling of O&SCM. Third, our paper provides a call for action to engage the community of scholars and practitioners to consider the metaverse as one of the last frontiers of O&SCM in the digital age.Originality/valueThis paper is one of the first that investigates the metaverse benefits, challenges and expectations in the O&SCM. Also, it provides robust directions by an empirical approach to the metaverse as a new and important research stream for O&SCM and related fields. The authors provide a prospective research agenda that scholars and practitioners could use as a roadmap to capture metaverse opportunities in O&SCM.
Journal Article
Turning information quality into firm performance in the big data economy
Purpose
Big data analytics (BDA) increasingly provide value to firms for robust decision making and solving business problems. The purpose of this paper is to explore information quality dynamics in big data environment linking business value, user satisfaction and firm performance.
Design/methodology/approach
Drawing on the appraisal-emotional response-coping framework, the authors propose a theory on information quality dynamics that helps in achieving business value, user satisfaction and firm performance with big data strategy and implementation. Information quality from BDA is conceptualized as the antecedent to the emotional response (e.g. value and satisfaction) and coping (performance). Proposed information quality dynamics are tested using data collected from 302 business analysts across various organizations in France and the USA.
Findings
The findings suggest that information quality in BDA reflects four significant dimensions: completeness, currency, format and accuracy. The overall information quality has significant, positive impact on firm performance which is mediated by business value (e.g. transactional, strategic and transformational) and user satisfaction.
Research limitations/implications
On the one hand, this paper shows how to operationalize information quality, business value, satisfaction and firm performance in BDA using PLS-SEM. On the other hand, it proposes an REBUS-PLS algorithm to automatically detect three groups of users sharing the same behaviors when determining the information quality perceptions of BDA.
Practical implications
The study offers a set of determinants for information quality and business value in BDA projects, in order to support managers in their decision to enhance user satisfaction and firm performance.
Originality/value
The paper extends big data literature by offering an appraisal-emotional response-coping framework that is well fitted for information quality modeling on firm performance. The methodological novelty lies in embracing REBUS-PLS to handle unobserved heterogeneity in the sample.
Journal Article
Big data integration with business processes: a literature review
Purpose
The purpose of this paper is to improve the understanding of the integration of business process management (BPM), business process re-engineering (BPR) and business process innovation (BPI) with big data. It focusses on synthesizing research published in the period 2006-2016 to establish both what the authors know and do not know about this topic, identifying areas for future research.
Design/methodology/approach
The research is based on a review of 49 published papers on big data, BPM, BPR and BPI in the top journals in the field 2006-2016.
Findings
In this paper, the authors have identified the most influential works based on citations and PageRank methods. Through network analysis the authors identify four major clusters that provide potential opportunities for future investigation.
Practical implications
It is important for practitioners to be aware of the benefits of big data, BPM, BPR and BPI integration. This paper provides valuable insights for practitioners.
Originality/value
This paper is based on a comprehensive literature review, which gives big data researchers the opportunity to understand business processes in depth. In addition, highlighting many gaps in the current literature and developing an agenda for future research, will save time and effort for readers looking to research topics within big data and business processes.
Journal Article
Supply chain resilience during the COVID-19: empirical evidence from an emerging economy
PurposeAlthough the advances in the supply chain resilience (SCR) literature, there is a critical gap concerning this understanding in a high disruption context, such as in the case of the COVID-19. This paper aims to investigate some dimensions (agility, robustness, disruption orientation and resource reconfiguration) of the SCR during this unprecedented disruption in the Brazilian supply chain context.Design/methodology/approachSupported by the resource-based view, dynamic capabilities and the SCR literature, we developed a model, which in turn was analyzed and validated by partial least squares structural equation modelling.FindingsThe results revealed that while resource reconfiguration and supply chain disruption orientation positively affect SCR, we found a non-significant effect of supply chain robustness and agility.Practical implicationsThe findings suggest that in a considerable disruption scenario, managers with their supply chain operations in emerging economies should prioritize the development of resources to support the disruption orientation and manage the scarce resources adequately by reconfiguring them.Originality/valueOur study is one of the first that reported the dynamics of the SCR dimensions in an emerging economy during the COVID-19.
Journal Article
Quality dominant logic in big data analytics and firm performance
Purpose
Big data analytics (BDA) gets all the attention these days, but as important—and perhaps even more important—is big data analytics quality (BDAQ). Although many companies realize a full return from BDA, others clearly struggle. It appears that quality dynamics and their holistic impact on firm performance are unresolved in data economy. The purpose of this paper is to draw on the resource-based view and information systems quality to develop a BDAQ model and measure its impact on firm performance.
Design/methodology/approach
The study uses an online survey to collect data from 150 panel members in France from a leading market research firm. The participants in the study were business analysts and IT managers with analytics experience.
Findings
The study confirms that perceived technology, talent and information quality are significant determinants of BDAQ. It also identifies that alignment between analytics quality and firm strategy moderates the relationship between BDAQ and firm performance.
Practical implications
The findings inform practitioners that BDAQ is a hierarchical, multi-dimensional and context-specific model.
Originality/value
The study advances theoretical understanding of the relationship between BDAQ and firm performance under the influence of firm strategy alignment.
Journal Article
World class sustainable supply chain management: critical review and further research directions
Purpose
Sustainable supply chain management (SSCM) has attracted considerable interest among academics and practitioners. The purpose of this paper is to present a critical review of the literature, to identify missing links, to argue for the use of world class SSCM (WCSSCM) through a framework, and suggest further research directions.
Design/methodology/approach
In the paper the authors have undertaken an extensive review of literature and classified articles using a novel classification scheme.
Findings
Through the extensive review and identification of research gaps, the paper identifies significant differences between definitions and methodologies in the SSCM literature; and argues for “WCSSCM.” This term is elaborated on via a theoretical framework in which 18 dimensions are classified under six constructs of SSCM. Furthermore, a list of potential research directions for WCSSCM is discussed.
Research limitations/implications
The research is an attempt to critically review literature, argue for WCSSCM, and develop a theoretical framework.
Originality/value
The paper offers a new approach to SSCM literature, arguing for WCSSCM through a framework, and providing further research directions.
Journal Article