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The purpose of this paper is to introduce the work of Mark Coeckelbergh into the field of management.

This is a conceptual paper with interviews.

The author suggests that Coeckelberghs’ considerations of an anthropology of vulnerability have the potential to provide a rich and insightful exploration of the machine-human interface, which is not afforded by many of the current approaches taken in this field. Their development of an anthropology of vulnerability suggests an approach to the machine-human interface that re-frames the machine-human interface in terms of human vulnerability, rather than machine’s performance, and sustains that the machine-human interface can be understood in terms of the transfer of human vulnerability.

This paper reveals some of the possibilities inherent in Coeckelbergh’s theories by providing an analysis of a specific event, the recent introduction of robo-advisors in portfolio management, from a Coeckelberghian perspective and by exploring some of the implications of this type of approach for the machine-human interface.

As far as the author knows, there is no previous paper on this topic.

This paper examines the relationship between marketing automation emergence and the marketers' use of heuristics in their decision-making processes. Heuristics play a role for the integration of human decision-making models and automation in augmentation processes, particularly in marketing where automation is widespread.

This study analyzes qualitative data about the impact of marketing automation on the scope of heuristics in decision-making models, and it is based on evidence collected from interviews with twenty-two experienced marketers.

Marketers make extensive use of heuristics to manage their tasks. While the adoption of new automatic marketing tools modify the task environment and field of use of traditional decision-making models, the adoption of heuristics rules with a different scope is essential to defining inputs, interpreting/evaluating outputs and control the marketing automation system.

The paper makes a contribution to research on the relationship between marketing automation and decision-making models. In particular, it proposes the results of in-depth interviews with senior decision makers to assess the impact of marketing automation on the scope of heuristics as decision-making models adopted by marketers.

NORDINFO (The Nordic Council for Scientific Information) was founded in 1977 after a long tradition of Nordic cooperation within the research library field. The Council is responsible for coordinating Nordic cooperative initiatives that can facilitate access to scientific information. Prior to that, Nordic countries developed a variety of cooperative forms: political, economic, cultural and scientific. During its 20 years of operation, NORDINFO has financed many experimental projects and financially supported many conferences, seminars and smaller projects with the general aim that these projects should have benefit beyond each individual country. Projects included an interface, which was to serve as a tool to search databases in different countries and structured in different languages. NORDINFO also financed Centres of Excellence where Nordic expertise could be developed. NORDINFO operates on a budget provided by the Nordic Council of Ministers and is given a three‐year contract based on strategy which must be accepted by the board, consisting of one member from each of the five countries that finance Nordic cooperation.

In recent years, a new transformation known as Industry 4.0 has drawn much attention throughout the world, and numerous investigations have fundamentally looked into the uprising concept. However, few have concentrated on the literature review. Taking this as motivation, the authors endeavored to assess the different attributes of Industry 4.0. The paper aims to discuss these issues.

This review concentrated on linking the articles from different database and distinguishing the attributes of Industry 4.0. The authors assessed 85 articles from scholarly database and peer-reviewed journals on Industry 4.0 through the selection of the Mayring (2004) procedure. The examination included a four-advance process, in particular, material gathering, engaging investigation, classification of the choice and material assessment.

The study backs experts and readers to comprehend the spread of Industry 4.0 in various ventures. For academicians, this gives an extensive rundown of Industry 4.0 attributes. Besides, the writing review gives a chance to comprehend the idea of Industry 4.0 in detail. Further, the outcome aggregates the success factor, failure factor, business model, potential and difficulties in the context of Industry 4.0.

Many areas such as supply chain, circular economy and healthcare have started exploring Industry 4.0. However, few specific cases have reported about it, and no generic model is found for real-time application.

The study serves as reference material for researchers and practitioners to understand the spread of Industry 4.0 and utilize the concept of Industry 4.0 for real-life application.

The study focuses on reporting the potential, challenges, business model and pre-requites of Industry 4.0.

Beck discusses the need to improve library and information services for the deaf community. The technological support available to libraries to serve the deaf is identified and described. Turnkey systems are found to be lacking in applications devoted to those who cannot hear or who are hard of hearing. Other technologies, like captioned videos, TDDs, and assistive listening systems, are examined for levels of service and excellence as well as cost. Examples of technology in transition and for the future are offered, along with experiments on speech and sound. These include inner ear implants, the “data glove” experiments, and tactile translators. Technological conflicts that may arise due to one person having multiple disabilities are presented with a discussion on the prevention of dangerous or difficult situations. Possible difficulties and ways to handle opposing technologies are examined briefly. Appropriate sections of the Americans with Disabilities Act and Guidelines are grouped with the technologies that aid compliance. Additional laws are mentioned where their inclusion is appropriate. Suggested guidelines for serving the deaf/disabled community are offered for librarians working in all library types.

This paper defines the newly emerging concept of knowledge management. The topics presented include: principles and practices of knowledge management, organization, distribution, dissemination, collaboration and refinement of information, and the effect on productivity and quality in business today. The technical applications and tools currently utilized within this discipline are also discussed. Case studies are included on the following firms: Teltech, Ernst & Young, Microsoft, and Hewlett Packard. These are analyzed to determine the effect knowledge management practices have on quality improvement and increased productivity. The authors have included a recommended strategy for implementation of knowledge management “best practices”. Finally, conclusions are drawn regarding the strategic direction of this new discipline and its effect on competition, productivity and quality for the business of tomorrow.

The coupling impact of hybrid uncertain errors on the machine precision is complex, as a result of which the designing method with multiple independent error sources under uncertainties remains a challenge. For the purpose of precision improvement, this paper focuses on the robot design and aims to present an assembly precision design method based on uncertain hybrid tolerance allocation (UHTA), to improve the positioning precision of the mechanized robot, as well as realize high precision positioning within the workspace.

The fundamentals of the parallel mechanism are introduced first to implement concept design of a 3-R(4S) &3-SS parallel robot. The kinematic modeling of the robot is carried out, and the performance indexes of the robot are calculated via Jacobian matrix, on the basis of which, the 3D spatial overall workspace can be quantified and visualized, under the constraints of limited rod, to avoid the singular position. The error of the robot is described, and a probabilistic error model is hereby developed to classify the hybrid error sensitivity of each independent uncertain error source by Monte Carlo stochastic method. Most innovatively, a methodology called UHTA is proposed to optimize the robot precision, and the tolerance allocation approach is conducted to reduce the overall error amplitude and improve the robotized positioning precision, on the premise of not increasing assembly cost.

The proposed approach is validated by digital simulation of medical puncture robot. The experiment highlights the mathematical findings that the horizontal plane positioning error of the parallel robotic mechanism can be effectively reduced after using UHTA, and the average precision can be improved by up to 39.54%.

The originality lies in UHTA-based precision design method for parallel robots. The proposed method has widely expanding application scenarios in industrial robots, biomedical robots and other assembly automation fields.

Despite the relatively long research continuum on IT capability and performance, the “IT capability-performance” link has remained hazy especially related to the mediating role of IT-based communication and networking overall. Therefore, this study investigates how IT capability affects Internet interactive practice and how it further affects marketing effectiveness and firm success.

The authors collected the survey data from 504 manufacturers in China, and structural equation modeling is used to test the hypotheses.

The results indicate that (1) IT capability has positive effects on both interorganizational systems (IOS)-enabled and social media (SM)-enabled interactive practice; (2) IOS-enabled interactive practice has a significant positive effect on both marketing and financial performance while SM-enabled interactive practice has a positive effect on marketing performance but no effect on financial performance; (3) IOS-enabled interactive practice mediates the effect of IT capability on marketing and financial performance while SM-enabled interactive practice only mediates the effect of IT capability on marketing performance; (4) marketing performance mediates the impact of IOS-enabled and SM-enabled interactive practice on financial performance.

This study has highlighted the role of social media practice in the relationship between IT capability and firm performance, which makes certain theoretical contributions to the existing research.

The purpose of this study is to propose a synthetic post-adoption model based on the expectation-confirmation model (ECM) and flow theory to examine whether the fit factor, network factors and psychological factors as antecedents to end-users’ beliefs can affect their continuance intention of the robo-advisor.

This study used the research model based on ECM and flow theory to examine the effects of the fit factor, network factors and psychological factors on end-users’ beliefs and continuance intention of the robo-advisor. Sample data were collected from end-users at three financial services companies in Taiwan. A total of 450 questionnaires were distributed and 360 (80.0%) usable questionnaires were analyzed using structural equation modeling.

This study proposes a solid research model that based on ECM and flow theory, three types of factors, namely, fit factor, network factors and psychological factors, as antecedents to end-users’ continuance intention of the robo-advisor have been examined and this study’s results strongly support the research model with all hypothesized links being significant.

It is particularly worth mentioning that a synthetic post-adoption model can be proposed in this study by introducing the fit factor extracted from task-technology fit model, network factors originated from the theory of network externalities and psychological factors derived from uses and gratifications theory as antecedents to perceived usefulness, confirmation, satisfaction and continuance intention referred in ECM and flow experience derived from flow theory. Thus, this study’s research model and findings can reveal deep insights into the evaluation of determinants in the field of end-users’ continuance intention of the robo-advisor.

This paper aims to analyze the moderating effect of technological turbulence caused by artificial intelligence on the relationship between the traditional knowledge management strategies of personalization (tacit knowledge) and codification (explicit knowledge), and organizational improvisation, which refers to the firm's ability to generate ideas and respond to changes in the technological environment in real time. Until now, individuals have played a key and indispensable role in organizational improvisation since they are the owners of tacit knowledge and users of explicit knowledge.

The research model was tested in a sample of firms from sectors in which the adoption of intelligent robots is growing.

Both personalization and codification have a positive and significant influence on improvisation, the former to a greater extent. Nevertheless, when technological turbulence caused by artificial intelligence occurs, the relationship between personalization and improvisation is weakened, whereas the link between codification and improvisation is strengthened.

Contrary to the pre-digital literature consensus, explicit knowledge is becoming the new major driver of organizational improvisation, while tacit knowledge sharing is losing strength and relevance. This finding may be a first indication that intelligent robots are the new exponents of improvisation for their ability to respond to changes in the environment in real time because of a combination of explicit knowledge, beyond being a mere support tool for humans.