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Does human resource management help a company's financial operating result?

Human Resource Management (HRM) is widely believed to have a positive effect on the performance of company. However, empirical proof of this is hard to come by. In this study, we try to establish a linkage between HRM and financial output of two case studies in the profit sector. To do this, we have developed a performance measurement system that is tailored to the specific needs of measuring HRM-performance in for-profit of company. Although we do not try to generalize the outcome of this study, it looks promising in the way that more case studies should be conducted using this specific performance measurement system. If nothing else, management and controllers could use the system to evaluate the performance of their HRM-tools.

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Does human resource management help a company's financial operating result?

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Firm resource characteristics and human capital as predictors of exit choice: An exploratory study of SMEs

This research focuses on exit choices within SMEs. In this study, “exit choice” refers to the decision to opt for either liquidation or sale of the firm. The predictions focus on human-capital and firm-resource variables. The hypotheses are tested on a set of 158 owners of small firms, the majority of which are micro-firms with 0–9 employees. The results of a series of binominal logistic regression analyses show that firm-resource characteristics (previous sales turnover, the firm’s independence from its owner, and firm size), together with one aspect of the owner’s specific human capital (the owner’s acquisition experience), predict exit choice. The conclusions have been made with caution, as the dataset is relatively small and the number of predictors is limited.

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Information Systems for Enterprise Resource Planning

Enterprise Resource Planning (ERP) refers to a specific type of software used by companies to manage day-to-day business activities, including but not limited to accounting, procurement, project management, compliance and risk management, and supply chain operations. This chapter presents a literature review on the different perspectives and applications of ERP systems in the industrial sector in the last 20 years. As a result, most of the documented cases are related to the implementation of System Application and Product (SAP) and its different modules. A case study of the performance of CONTPAQi software in a small and medium-sized enterprise (SME) that relies on the ABC tool for inventory control is included.

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How does aviation industry measure safety performance?

In this paper we present a review of existing aviation safety metrics and we lay the foundation for our four-years research project entitled “Measuring Safety in Aviation – Developing Metrics for Safety Management Systems”. We reviewed state-of-the-art literature, relevant standards and regulations, and industry practice. We identified that the long-established view on safety as absence of losses has limited the measurement of safety performance to indicators of adverse events (e.g., accident and incident rates). However, taking into account the sparsity of incidents and accidents compared to the amount of aviation operations, and the recent shift from compliance to performance based approach to safety management, the exclusive use of outcomes metrics does not suffice to further improve safety and establish a proactive monitoring of safety performance. Although the academia and aviation industry have recognized the need to use activity indicators for evaluating how safety management processes perform, and various process metrics have been developed, those have not yet become part of safety performance assessment. This is partly attributed to the lack of empirical evidence about the relation between safety proxies and safety outcomes, and the diversity of safety models used to depict safety management processes (i.e. root-cause, epidemiological or systemic models). This, in turn, has resulted to the development of many safety process metrics, which, however, have not been thoroughly tested against the quality criteria referred in literature, such as validity, reliability and practicality.

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How does aviation industry measure safety performance?

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Digital marketing activities by Dutch place management partnerships: A resource-based view

In most shopping areas, there are place management partnerships (PMPs) that aim to increase the competitiveness of the area. Collective digital marketing activities, such as the adoption and update of collective websites and social media pages, provide opportunities in this regard. Currently, the extent to which digital marketing activities are being employed varies widely among PMPs. However, studies investigating the factors that influence the uptake of digital marketing activities are lacking. This study applies a resource-based view to fill this gap, using data from an online survey about collective digital marketing activities among 164 official representatives of PMPs in urban shopping areas in the Netherlands. Regression analyses were employed to examine the extent to which the resources of PMPs influence the adoption and update frequency of the two most often used digital marketing channels: websites and social media pages. The results revealed that while the adoption of collective digital marketing channels is strongly influenced by the physical resources that characterize the shopping area itself, the update frequency of these channels is influenced more by the organizational resources of PMPs. In addition, the strategic choice of PMPs to deploy human and financial resources for the benefit of collective digital marketing activities leads to increased use of these activities. This effect is reinforced by the fact that digital marketing skills gained through experience contribute to a higher update frequency of the adopted channels. As such, this study provides empirical evidence on the influence of PMPs shared resources upon their digital marketing activities.

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Digital marketing activities by Dutch place management partnerships: A resource-based view

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Resource-Efficient Image Buffer Architecture for Neighborhood Processors

Neighborhood image processing operations on Field Programmable Gate Array (FPGA) are considered as memory intensive operations. A large memory bandwidth is required to transfer the required pixel data from external memory to the processing unit. On-chip image buffers are employed to reduce this data transfer rate. Conventional image buffers, implemented either by using FPGA logic resources or embedded memories are resource inefficient. They exhaust the limited FPGA resources quickly. Consequently, hardware implementation of neighborhood operations becomes expensive, and integrating them in resource constrained devices becomes unfeasible. This paper presents a resource efficient FPGA based on-chip buffer architecture. The proposed architecture utilizes full capacity of a single Xilinx BlockRAM (BRAM36 primitive) for storing multiple rows of input image. To get multiple pixels/clock in a user defined scan order, an efficient duty-cycle based memory accessing technique is coupled with a customized addressing circuitry. This accessing technique exploits switching capabilities of BRAM to read 4 pixels in a single clock cycle without degrading system frequency. The addressing circuitry provides multiple pixels/clock in any user defined scan order to implement a wide range of neighborhood operations. With the saving of 83% BRAM resources, the buffer architecture operates at 278 MHz on Xilinx Artix-7 FPGA with an efficiency of 1.3 clock/pixel. It is thus capable to fulfill real time image processing requirements for HD image resolution (1080 × 1920) @103 fcps.

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Resource-Efficient Image Buffer Architecture for Neighborhood Processors

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Silicon sampling: AI-powered personas offer new insights for market research but have limitations

Thank you for sharing this story! However, please do so in a way that respects the copyright of this text. If you want to share or reproduce this full text, please ask permission from Innovation Origins (partners@innovationorigins.com) or become a partner of ours! You are of course free to quote this story with source citation. Would you like to share this article in another way? Then use this link to the article: https://innovationorigins.com/en/silicon-sampling-ai-powered-personas-offer-new-insights-for-market-research-but-have-limitations/ n the rapidly evolving field of marketing and communication, staying ahead means embracing technological innovations. The latest breakthrough, silicon sampling, leverages AI to revolutionize market research by creating synthetic personas that mimic human responses. This method, which utilizes large language models (LLMs) like GPT-4o, offers a cost-efficient and less time-consuming alternative to traditional market research. Roberta Vaznyte and Marieke van Vliet (Fontys University of Applied Science) have explored the promise and challenges of silicon sampling, highlighting key findings from recent experiments and the implications for the future of market research.

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Automatic categorization of self-acknowledged limitations in randomized controlled trial publications

Objective:Acknowledging study limitations in a scientific publication is a crucial element in scientific transparency and progress. However, limitation reporting is often inadequate. Natural language processing (NLP) methods could support automated reporting checks, improving research transparency. In this study, our objective was to develop a dataset and NLP methods to detect and categorize self-acknowledged limitations (e.g., sample size, blinding) reported in randomized controlled trial (RCT) publications.Methods:We created a data model of limitation types in RCT studies and annotated a corpus of 200 full-text RCT publications using this data model. We fine-tuned BERT-based sentence classification models to recognize the limitation sentences and their types. To address the small size of the annotated corpus, we experimented with data augmentation approaches, including Easy Data Augmentation (EDA) and Prompt-Based Data Augmentation (PromDA). We applied the best-performing model to a set of about 12K RCT publications to characterize self-acknowledged limitations at larger scale.Results:Our data model consists of 15 categories and 24 sub-categories (e.g., Population and its sub-category DiagnosticCriteria). We annotated 1090 instances of limitation types in 952 sentences (4.8 limitation sentences and 5.5 limitation types per article). A fine-tuned PubMedBERT model for limitation sentence classification improved upon our earlier model by about 1.5 absolute percentage points in F1 score (0.821 vs. 0.8) with statistical significance (). Our best-performing limitation type classification model, PubMedBERT fine-tuning with PromDA (Output View), achieved an F1 score of 0.7, improving upon the vanilla PubMedBERT model by 2.7 percentage points, with statistical significance ().Conclusion:The model could support automated screening tools which can be used by journals to draw the authors’ attention to reporting issues. Automatic extraction of limitations from RCT publications could benefit peer review and evidence synthesis, and support advanced methods to search and aggregate the evidence from the clinical trial literature.

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Automatic categorization of self-acknowledged limitations in randomized controlled trial publications

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How did crew resource management take-off outside of the cockpit?

Crew resource management (CRM) training for flight crews is widespread and has been credited with improving aviation safety. As other industries have adopted CRM, they have interpreted CRM in different ways. We sought to understand how industries have adopted CRM, regarding its conceptualisation and evaluation. For this, we conducted a systematic review of CRM studies in theMaritime, Nuclear Power, Oil and Gas, and Air Traffic Control industries. We searched three electronic databases (Web of Science, Science Direct, Scopus) and CRM reviews for papers. We analysed these papers on their goals, scope, levers of change, and evaluation. To synthesise, we compared the analysis results across industries. We found that most CRM programs have the broad goals of improving safety and efficiency. However, there are differences in the scope and levers of change between programs, both within and between industries. Most evaluative studies suffer from methodological weaknesses, and the evaluation does not align with how studies conceptualise CRM. These results challenge the assumption that there is a clear link between CRM training and enhanced safety in the analysed industries. Future CRM research needs to provide a clear conceptualisation—how CRM is expected to improve safety—and select evaluation measures consistent with this.

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Does human resource management help a company's financial operating result?

Firm resource characteristics and human capital as predictors of exit choice: An exploratory study of SMEs

Information Systems for Enterprise Resource Planning

How does aviation industry measure safety performance?

Digital marketing activities by Dutch place management partnerships: A resource-based view

Resource-Efficient Image Buffer Architecture for Neighborhood Processors

Silicon sampling: AI-powered personas offer new insights for market research but have limitations

Automatic categorization of self-acknowledged limitations in randomized controlled trial publications

How did crew resource management take-off outside of the cockpit?

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Does human resource management help a company's financial operating result?

Firm resource characteristics and human capital as predictors of exit choice: An exploratory study of SMEs

Information Systems for Enterprise Resource Planning

How does aviation industry measure safety performance?

Digital marketing activities by Dutch place management partnerships: A resource-based view

Resource-Efficient Image Buffer Architecture for Neighborhood Processors

Silicon sampling: AI-powered personas offer new insights for market research but have limitations

Automatic categorization of self-acknowledged limitations in randomized controlled trial publications

How did crew resource management take-off outside of the cockpit?

Projects 1

Grip op Privacy: Introductie van privacy labels