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This study aims to deliver an approach of how lightweight robot systems can be used to automate manual processes for higher efficiency, increased process capability and enhanced ergonomics. As a use case, a new collaborative testing system for an automated water leak test was designed using an image processing system utilized by the robot.

The “water leak test” in an automotive final assembly line is often a significant cost factor due to its labour-intensive nature. This is particularly the case for premium car manufacturers as each vehicle is watered and manually inspected for leakage. This paper delivers an approach that optimizes the efficiency and capability of the test process by using a new automated in-line inspection system whereby thermographic images are taken by a lightweight robot system and then processed to locate the leak. Such optimization allows the collaboration of robots and manual labour, which in turn enhances the capability of the process station.

This paper examines the development of a new application for lightweight robotic systems and provides a suitable process whereby the system was optimized regarding technical, ergonomic and safety-related aspects.

A new automated testing process in combination with a processing algorithm was developed. A modular system suitable for the integration of human–robot collaboration into the assembly line is presented as well.

To optimize and validate the system, it was set up in a true to reality model factory and brought to a prototypical status. Several original equipment manufacturers showed great interest in the system. Feasibility studies for a practical implementation are running at the moment.

The direct human–robot collaboration allows humans and robots to share the same workspace without strict separation measures, which is a great advantage compared with traditional industrial robots. The workers benefit from a more ergonomic workflow and are relieved from unpleasant, repetitive and burdensome tasks.

A lightweight robotic system was implemented in a continuous assembly line as a new area of application for these systems. The automated water leak test gives a practical example of how to enrich the assembly and commissioning lines, which are currently dominated by manual labour, with new technologies. This is necessary to reach a higher efficiency and process capability while maintaining a higher flexibility potential than fully automated systems.

Information-centric networking (ICN) is an innovative paradigm for the future internet architecture. This paper aims to provide a view on how academic video lectures can exploit the ICN paradigm. It discusses the design of academic video lectures over named data networking (NDN) (an ICN architecture) and speculates their future development. To the best of author’s knowledge, a similar study has not been presented.

The paper is a visionary essay that introduces the background, elaborates the basic concepts and presents the author’s views and insights into academic video lectures that exploit the latest development of NDN approach and its applications.

The ICN paradigm is closely related to the levels of automation and large-scale uptake of multimedia applications that provide video lectures. Academic video lectures over NDN have: improved efficiency, better scalability with respect to information/bandwidth demand and better robustness in challenging communication scenarios. A framework of academic video lectures over NDN must take into account various key issues such as naming (name resolution), optimized routing, resource control, congestion control, security and privacy. The size of the network in which academic video lectures are distributed, the content location dynamics and the popularity of the stored video lectures will determine which routing scheme must be selected. If semantic information is included into academic video lectures, the network dynamically may assist video (streaming) lecture service by permitting the network to locate the proper version of the requested video lecture that can be better delivered to e-learners and/or select the appropriate network paths.

The paper helps researchers already working on video lectures in finding a direction for designing and deploying platforms that will provide content-centric academic video lectures.

The paper pioneers the investigation of academic video lecture distribution in ICN and presents an in-depth view to its potentials and research trends.

The concept of novelty is central to questions of creativity, innovation, and discovery. Despite the prominence in scientific inquiry and everyday discourse, there is a chronic ambiguity over its meaning and a surprising variety of empirical measures, which muddle the interpretation of prior findings and frustrate the consolidation of knowledge. To help dispel some of the unclarity, this paper presents a survey and synthesis of conceptualizations and operationalizations of novelty scattered across social, cognitive, and organizational studies. From this analysis, I advance the argument that novelty is generally regarded as a function of frequency or proximity, and in these two complementary perspectives, it is commonly bounded its empirical study and theoretical understanding. I further argue that contextual and temporal aspects are integral to the specification of novelty and primary contributors to its multifaceted nature.

This paper investigates the role of arbitration panels in German employment relations. It is the main aim of the analysis to improve our knowledge of the ways through which employment related conflict is formalized within a transparent procedure.

Hypotheses are generated from a review of relevant publications on German arbitration panels. To test the hypotheses with evidence, the paper uses data from the 2006 WSI works council survey and applies binary logistical regression analysis.

The statistical analysis reveals that works councils oppose management hostility by way of making more frequent use of arbitration panels. While in a multivariate model the use of arbitration panels could be positively associated with certain attitudes of works councils and management, results for a number of institutional variables were other than expected. While foreign ownership of a particular establishment did not have a significant impact on the use of arbitration panels, firm‐level agreements, as negotiated by unions without the direct involvement of works councils, are associated with a more frequent use of such panels.

The model applied in the article could not verify establishment age because data on this subject was not available. Future surveys should fill this void.

The findings of this paper suggest that arbitration panels are a valuable tool in the process of conflict resolution. Because there is little evidence for an excessive use of such panels, future debates on the reform of the Works Constitution Act should consider strengthening this instrument rather than restricting it.

While data on the use of arbitration panels had already been documented about 20 years ago, the author presents a unique set of data, which for the first time allows the analysis of the use of arbitration panels in all industries within the private sector and is also significant in making it possible to statistically test relevant hypotheses on the usage of such panels.

This paper aims to assess information technology (IT) managers' perception of the strengths, weaknesses, opportunities and threats (SWOT) of using social networking sites (SNS) for group work at government organizations. According to the research, SNS provide considerable potential and can be a valuable technology for group work in government, public and/or non-profit organizations.

This study adopted a Delphi technique to assess the SWOT from IT managers in government organizations in Oman, a developing Middle Eastern country. One of the main roles of IT managers is to develop a short-term and long-term IT strategy, and identify opportunities in new technologies. SWOT analysis is a very useful tool to strategically analyze and understand an organization's current position in any IT deployment. As an exploratory study, Delphi technique is utilized as it produces the most reliable consensus of a group of experts. Data was collected through a web-based questionnaire.

The results suggest that there are more strengths than weaknesses and more opportunities than threats. However, some weaknesses and risks are critical as they relate to security and privacy controls and breaches. The study illustrates IT managers' perception about the use of SNS in government organizations.

For government organizations, prior research was mainly on the use of SNS to improve communication between government organizations and citizens. Not much is known about organizations' use of public technologies for a challenging process such as group collaboration. Results can be utilized by researchers and practitioners to improve SNS use for group work and to raise organizations' and individuals' awareness about implementing some controls that eliminate the critical threats. Results also can be utilized by IT policy and strategy makers in Oman and government organizations to develop overall national policy and guidelines for the use of SNS by government organizations.

This study aims to provide a comprehensive overview of the academic landscape in wine economics and business research over the past decades, capturing and analysing the literature through rigorous bibliometric methodologies. The study is intended as a foundational resource for academics, policymakers and industry stakeholders interested in the evolving scholarly discourse within the wine industry.

The authors analyse data from over 3,200 papers in the field of wine economics and business published between 1990 and 2022, sourced from Scopus. Various bibliometric indicators are applied, including publication and citation counts, and methods like keyword and co-citation analyses were used to map out the thematic and intellectual landscape.

The study reveals the escalating global relevance of wine economics and business research and identifies prominent papers and authors, influential countries and leading journals. The analysis reveals a dynamic shift in academic focus. Initially concentrating on foundational inquiries in the 1990s, research evolved to encompass complex themes such as e-commerce, wine tourism, sustainability and global crises. The study emphasises the adaptability and resilience of the wine supply chain and anticipates future research areas.

This study presents a comprehensive bibliometric analysis of the expanding body of research in wine economics and business, using data from over 3,200 documents published between 1990 and 2022. It uniquely combines different advanced bibliometric tools to provide a multifaceted overview of wine economics and business research.

AI-based robo-advisory (RA) represents a FinTech application that is already replacing retail investment advisors. In private banking (PB), clients also increasingly expect service provision across different digital channels, but with a higher degree of personalization. Hence, the present study investigates the impact of intelligent RA on the PB investment advisory process to derive both process (re)design knowledge and strategic guidance for artificial intelligence (AI) usage for PB investment advisory.

The present study applies an AI process impact analysis approach by decomposing AI-based RA into three AI application types: conversational agent, customer segmentation and predictive analytics. The analysis results along a reference PB investment advisory process reveal sub-process transformations which are applied for process redesign integrating AI.

The study results imply that AI systems (1) enable seamless client journeys, (2) increase advisor flexibility, (3) support the client–advisor relationship by applying an omnichannel approach and (4) demand advisor skills to be augmented with technical and statistical knowledge.

The research study contributes (1) an AI process impact analysis approach, (2) derives process (re)design knowledge for AI deployment and (3) develops strategic guidance for AI usage in PB investment advisory.