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2215 research outputs found
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Multiple organizational capabilities for effective business model innovation and increased performance
No full textPurpose: The main purpose of this study is to provide a relatively integrated perspective on the role of market orientation, strategic flexibility and technological capability as multiple organizational capabilities and their potential effectiveness in promoting business model innovation (BMI) and business performance. Design/methodology/approach: To achieve this objective, an empirical survey was conducted among 379 firms in Greece. Initially, exploratory factor analysis and then confirmatory factor analysis were applied. Finally, the structural relationships among the latent factors were determined through structural equation modeling. Findings: The results show the positive effect of market orientation on strategic flexibility and technological capability. Strategic flexibility drives firms to BMI and then business performance. Furthermore, it is essential that firms build up technological capability to be effective in BMI and business performance. Research limitations/implications: Data were collected at only one point in time from one country, Greece. This might pose limitations on the generalizability of our results. Future research could also explore how organizations develop strategic flexibility and BMI capabilities in different environmental contexts and organizational structures. Practical implications: This study sends the message that companies focusing on market orientation and technological capability can led to higher strategic flexibility and BMI capabilities, which in turn act as a catalyst for business improvement. Originality/value: The proposed model provides plausible guidelines that advance the research on multiple organizational capabilities in companies.2782925294
Job loss and Covid-19: an analysis on the impacts of remote work and automation
No full textUsing a unique dataset from a dedicated Cedefop Skills Forecast scenario on the impacts of COVID-19, this paper explores two possible determinants of expected job loss in the European Union (EU) due to the pandemic, namely the potential of work from home and the impacts of automation. Our findings suggest that less remote work and more automation are both related to future job losses across countries and occupations. These links are stronger in 2020–2021 at the country level, while becoming significant at the occupation level after 2022 when several protective measures taken by EU governments are expected to have been lifted.31871272
Secure Monitoring System for IoT Healthcare Data in the Cloud
No full textEven though the field of medicine has made great strides in recent years, infectious diseases caused by novel viruses that damage the respiratory system continue to plague people all over the world. This type of virus is very dangerous, especially for people with serious long-term breathing problems like asthma, pneumonia, or bronchitis infections. Thus, this paper demonstrates a new secure machine learning monitoring system for a model for virus detection. Our proposed model makes use of four basic emerging technologies, the Internet of Things (IoT), Wireless Sensor Networks (WSN), Cloud Computing (CC), and Machine Learning (ML), to detect dangerous types of viruses that infect people or animals causing panic worldwide and deregulating human daily life. The proposed system is a robust system that could be established in various buildings, like hospitals, entertainment halls, universities, etc., and will provide accuracy, speed, and privacy for data collected in the detection of viruses.14112
An Empirical Analysis of Data Reduction Techniques for k-NN Classification
No full textThis study explores Data Reduction Techniques (DRTs) in the realm of lazy classification algorithms like k-NN, focusing on Prototype Selection (PS) and Prototype Generation (PG) methods. The research provides an in-depth examination of these methodologies, categorizing DRTs into two primary categories: PS and PG, and further dividing them into three sub-categories: condensation methods, edition methods, and hybrid methods. An experimental study compares a total of 20 new and state-of-the-art DRTs across 20 datasets. The objective is to draw performance conclusions within both the primary and sub-categories, offering valuable insights into how these techniques enhance the effectiveness and robustness of the k-NN classifier. The paper provides a comprehensive overview of DRTs, clarifying their strategies and relative performances.7148397Artificial Intelligence Applications and Innovation
Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory Experiments
No full textBackground: Despite the general impression that digital order-picking supportive technologies can manage a series of emerging challenges, there is still a very limited amount of research concerning the implementation and evaluation of such technologies in manual picker-to-goods order-picking systems. Therefore, this paper aims to evaluate the performance of three alternative picker-to-goods technologies (i.e., Pick-by-Radio Frequency (RF) Scanner, Pick-to-light, and Pick-by-vision) in terms of completion time and perceived workload. Methods: The Design of Experiments (DoE) methodology is adopted to investigate order-picking technologies in terms of completion time. More specifically, a full factorial design has been used (23 × 3 full factorial design) for the assessment of the aforementioned order-picking technologies via laboratory testing. Furthermore, for the comparative assessment of the reviewed order-picking technologies in terms of workload, the NASA Task Load Index (NASA-TLX) is embraced by system users. Results: The results reveal that the best picker-to-goods technology in terms of order-picking completion time and perceived workload under certain laboratory setup is light picking when combined with few items per order line and many order lines per order. Conclusion: The paper successfully identified the best picker-to-goods technology, however it is important to mention that the adoption of such order-picking technology implies certain managerial implications that include training programs for employees to ensure they are proficient in using such technologies, upfront costs for purchasing and implementing the order picking system, and adjustments to existing workflows.811
Smart Ports in Industry 4.0: A Systematic Literature Review
No full textBackground: Information and communication technologies (ICT) have introduced “smart” concepts across industries, including ports. Smart ports, leveraging IoT, cybersecurity, and cloud computing, are trending in maritime operations. They optimize data for informed decision-making, cutting costs, enhancing efficiency, mitigating risks, and fostering growth. Methods: To consolidate knowledge in this area, we are conducting a systematic literature review and meta-analysis using the PRISMA framework. Our goal is to synthesize existing insights, minimize biases, increase reliability, and effectively communicate our findings. To address the research needs mentioned, the current study focuses on implementing a systematic literature review (SLR). Results: The goals of this review are: (i) to present and describe the main categories and themes within the research topic, and (ii) to identify research gaps that will aid future research. Key findings include the identification and classification of current literature trends in the smart port performance evaluation framework and the examination of fundamental themes discussed within this area of research. Conclusions: In our review, we emphasize the smart port concept, clarifying its common interpretations amid the industry 4.0 revolution. We discuss recent advancements in emerging technologies and identify key challenges driving researchers’ exploration of the evolving smart port landscape.812
A metrics-based approach for selecting among various refactoring candidates
No full textRefactoring is the most prominent way of repaying Technical Debt and improving software maintainability. Despite the acknowledgement of refactorings as a state-of-practice technique (both by industry and academia), refactoring-based quality optimizations are debatable due to three important concerns: (a) the impact of a refactoring on quality is not always positive; (b) the list of available refactoring candidates is usually vast, restricting developers from applying all suggestions; and (c) there is no empirical evidence on which parameters are related to positive refactoring impact on quality. To alleviate these concerns, we reuse a benchmark (constructed in a previous study) of real-world refactorings having either a positive or negative impact on quality; and we explore the parameters (structural characteristics of classes) affecting the impact of the refactoring. Based on the findings, we propose a metrics-based approach for guiding practitioners on how to prioritize refactoring candidates. The results of the study suggest that classes with high coupling and large size should be given priority, since they tend to have a positive impact on technical debt.2912
Expanding strategic flexibility through organizational culture, industry 4.0 and market orientation
No full textPurpose: The purpose of this study is to build a theory on management investigating the relationship between organizational culture and strategic flexibility in firms, and how this relationship is affected through industry 4.0 capabilities and the market orientation of firms. Design/methodology/approach: As a methodological approach, this paper uses a rich combination of literature review and exploratory interviews with managers and academics. Data were collected from 379 industrial managers; confirmatory factor analysis (CFA) and finally structural equation modeling (SEM) were performed to validate the data and examine the hypothesized relationships. Findings: The results show that organizational culture drives firms to strategic flexibility, but the introduction of industry 4.0 capabilities and market orientation fully mediate this relationship, revealing their significance to strategic flexibility. Research limitations/implications: All the respondents of the study's dataset were from Greek firms; the role of national culture should be considered. Moreover, the comprehension of I4.0 is a quite recent concept that is still being formulated, this feature may modify the results of future studies. Practical implications: Managers should allocate resources for the concurrent adoption of digital technologies capabilities and suitable market-oriented strategies in order for them to be key drivers for enhanced strategic flexibility. Originality/value: The current state of knowledge of both theory and practise for critical organizational factors such as organizational culture, strategic flexibility, industry 4.0 capabilities and market orientation will be extended.7351305132
Adaptive Multiprotocol Communication in Smart City Networks
No full text—Smart cities are progressively emerging and require city-wide networks able to maintain low delay and increased reliability. However, wireless communications in the urban environment are occasionally disrupted, leading to volatile network
conditions and impeding traditional networks to cope with these demands. To this end, named data networking (NDN) and delay/disruption tolerant networking (DTN) architectures, as
well as the combined NDN-over-DTN (NoD) scheme have been
introduced and are actively investigated for combating distinct
communication challenges in wireless city-wide deployments. In this work we investigate the performance and reliability tradeoffs of each approach in the smart city context, and accordingly propose an experimental system that employs interchangeably NDN, DTN and NoD driven by a novel change point (CP)-based network reliability detector. The real-world experiments showed
that the proposed multiprotocol adaptive system, called ALTER, leads to lower latency and increased reliability of the urban network, compared to nonadaptive NDN and NoD solutions.1111204992051
Lightweight INT on the Tofino programmable switch
No full textIn-band network telemetry (INT), enabled by programmable data planes and the appearance of programming protocol-independent languages such as P4, emerged as a viable approach for network monitoring. INT allows the collection of fine-grained network information in real-time, increasing network visibility, at the cost of network overhead. Several lightweight INT approaches have been recently proposed that attempt to alleviate the transmission overhead of INT, while maintaining a high degree of monitoring accuracy. However, their impact on the resources of the respective hardware network devices has been hardly investigated as most of the approaches are evaluated via simulation. In this study, we provide proof of concept implementations of two lightweight INT approaches that have been proposed for path tracing on the Intel Tofino ASIC, identifying the challenges of porting the solution to the selected target. We examine their performance, providing an in-depth analysis of resource consumption.24302436Proceedings of the 30th Annual International Conference on Mobile Computing and Networkin