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Cybersecurity resilience and innovation ecosystems for sustainable business excellence: Examining the dramatic changes in the macroeconomic business environment
Get PDFData and information systems are valuable, rare, and often inimitable resources for any organization willing to innovate its products, processes, and business models, with the ultimate goal of gaining a competitive edge in a digital world. Data and information systems are also valuable and rare resources when organizations interact with each other within their ecosystems as data flows are deployed conjointly by organizations to achieve innovation and performance outcomes for their ecosystem. As such data and information systems within organizations, interorganizational relationships and ecosystems need to be protected. For this reason, organizations are required to strengthen their cybersecurity systems. This seems a necessary precondition to assist organizations and ecosystems to innovate their products, processes, and business models especially during times of dramatic changes (such as wars or pandemics) that can pose threats to organizational and ecosystem data protection. Accordingly, cybersecurity resilience allows to address those threats triggered by dramatic changes. In this light, this study aims to investigate how components of cybersecurity resilience can influence organizations’ innovation capabilities and ultimately sustainable business excellence as well as the moderating influences of macroeconomic policies and regulations. By building on a cross-sectional research design we found that cybersecurity resilience positively influences innovation capabilities that in their turn positively influence sustainable business excellence. We also find that macroeconomic policies and regulations moderate the relationship between government efficacy and sustainable business excellence
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Tirer une valeur commerciale de l'intelligence artificielle dans les entreprises de commerce électronique B2C
No full textCette thèse par articles étudie comment les entreprises peuvent tirer parti de l’intelligence artificielle (l'IA) pour améliorer leurs capacités en matière de commerce électronique. La principale question de recherche à laquelle elle cherche à répondre est la suivante : comment l'IA peut-elle être comprise et exploitée pour améliorer les processus et les connaissances commerciales de l’entreprise, ainsi que l'engagement des clients dans le commerce électronique ? Le sujet de recherche est motivé par (i) le besoin croissant des entreprises de comprendre et d'apprendre sur les moyens de capitaliser sur les investissements en commerce électronique, susceptibles de répondre aux besoins actuels de leurs clients, et (ii) le besoin urgent d'expliquer le concept moderne de l'IA aux gestionnaires et la façon dont les technologies de l’IA peuvent être exploitées pour améliorer leurs capacités de commerce électronique. Cela a conduit à trois questions de recherche spécifiques : (i) comment comprendre l'IA d'une manière qui soit pertinente pour les gestionnaires ? (ii) comment les entreprises peuvent-elles tirer parti de l'IA pour améliorer leurs processus de commerce électronique et leur connaissance des affaires ? (iii) comment les entreprises peuvent-elles tirer parti de l'IA pour améliorer l'engagement des clients ? En raison de la densité et de la complexité du sujet, cette thèse adopte une approche méthodologique vaste. Elle fait appel à des typologies de recherche exploratoire, explicative et descriptive pour expliquer le quoi, le pourquoi et le comment des facteurs qui affectent la façon dont les entreprises peuvent créer de la valeur en utilisant l'IA dans le commerce électronique. Des stratégies de recherche quantitatives et qualitatives ont été adoptées, en fonction de la nature de la question de recherche. Les résultats de cette thèse sont résumés et présentés par question de recherche. RQ1 : Comment l'IA peut-elle être comprise d'une manière qui soit pertinente pour les managers ? Une perspective de l'IA qui peut être pertinente pour les gestionnaires intègre les dimensions de perception, de compréhension, d'action et d'apprentissage de l'intelligence que l'on retrouve dans l'IA. Dans cette optique, l'IA peut être classée en deux catégories principales : l'une centrée sur les interactions sociales et l'autre centrée sur les données. Utilisées ensemble, ces deux catégories peuvent créer une valeur commerciale importante pour les entreprises. RQ2 : Comment les entreprises peuvent-elles tirer parti de l'IA pour améliorer leurs processus de commerce électronique et leur connaissance du marché ? Les entreprises peuvent tirer parti de l'IA pour améliorer leurs processus de commerce électronique et leurs connaissances du marché en utilisant l'IA pour l'automatisation intelligente et l'aide à la décision. La capacité d'analyse automatisée (CAA) est une capacité dynamique que les entreprises pourraient développer pour atteindre cet objectif. Elle implique l'utilisation de techniques d'IA avancées pour automatiser les capacités analytiques des entreprises. RQ3 : Comment les entreprises peuvent-elles exploiter l'IA pour améliorer l'engagement des clients ? Les entreprises peuvent tirer parti de l'IA pour améliorer l'engagement des clients par le biais de l’amélioration de l'expérience client. Cette thèse contribue à la recherche sur la valeur commerciale de l'IA qui est un débat passionné dans les forums de chercheurs et de praticiens. Plus précisément, elle contribue aux débats dans le domaine des systèmes d’information sur la valeur commerciale de l'IA du point de vue des gestionnaires et des consommateurs, sur l'utilisation stratégique de l'IA pour créer de la valeur commerciale, et sur la façon dont l'IA peut servir de source de création de valeur par l'engagement des clients et l'automatisation.This thesis by publication investigates how firms can leverage AI to enhance their e-commerce capabilities. The main research question it sought to answer is: how can AI be understood and leveraged to improve business processes, insights, and customer engagement in e-commerce? The research topic is motivated by two main aspects. First, it is motivated by the growing need for firms to understand and learn how to capitalise on e-commerce investments that meet their customers' current needs. Second, it is inspired by the urgent need to explain the modern-day AI concept to managers and how it can be leveraged to enhance their e-commerce capabilities. These motivations led to one main research question: how can AI be understood and leveraged to enhance processes, business insights, and customer engagement in e-commerce? This main question was broken down into three specific research questions: (i) how can managers understand AI in a relevant way for value creation? (ii) how can firms leverage AI to improve their e-commerce processes and business insight? (iii) how can firms leverage AI to enhance customer engagement? This thesis adopts a vast methodological approach due to the topic's density and complexity. It uses exploratory, explanatory, and descriptive research types to explain the what, why, and how factors affecting firms' ability to create value by using AI in e-commerce. Quantitative and qualitative research strategies were adopted, depending on the research question. Documents (literature review data and data from practitioner sources), bibliometric data, interview data, and survey data were used to conduct this research. They were analysed using various techniques: content analysis, bibliometric analysis, PLS-SEM, and FsQCA. Furthermore, several theories were mobilised to explain the results: dynamic capability theory, theory of affordances, Goldberg’s Big Five Factors of personality, and a contextualised theory of reasoned action (TRA-privacy). The results of this thesis are summarised and presented by research question. RQ1: how can managers understand AI in a relevant way for value creation? A perspective of AI that can be relevant to managers incorporates the perception, comprehension, action, and learning dimensions of intelligence found in AI. Using this lens, AI can be categorised into two main categories: one centred around social interactions (frontend AI) and the other that is data-centred (backend AI). Both of them used together can create significant business value for firms. RQ2: How can firms leverage AI to improve their e-commerce processes and business insight? Firms can leverage AI to improve their e-commerce processes and business insights by using (backend) AI for intelligent automation and decision support. Automated analytics capability (AAC) is a dynamic capability that firms could develop to meet this objective. It implies using advanced AI techniques to automate firms' analytics capabilities. RQ3: How can firms leverage AI to enhance customer engagement? Firms can leverage AI to enhance customer engagement by leveraging (frontend) AI to enhance customer experience. This thesis contributes to research on AI's business value, a trending debate in both researcher and practitioner forums. Specifically, it contributes to IS debates on AI's business value from the manager and consumer perspectives, the strategic use of AI to create business value, and how AI can serve as a value creation source through customer engagement and automation. In marketing research, it contributes to debates about AI transforming marketing and retailing processes. It also contributes to understanding and anticipating voice shopping behaviours, experiences, and customers' engagement. Finally, it contributes to business & management research on AI by proposing an alternative interpretation of the concept of AI that could facilitate the use of AI for realistic digital transformation
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