Systematic Analysis Procedure Research Articles

The effects of user- and marketer-generated content on customer satisfaction: A textual analysis approach

Online reviews and management responses are important user-generated content (UGC) and marketer-generated content (MGC) in social media platforms, which directly reflect the customer’s and merchant’s feedback on a specific consumption and may further affect customer satisfaction. However, as the targeted feedback to UGC, the impact of MGC and the total impact between UGC and MGC are still understudied. In this work, we proposed a systematic analysis procedure for unravelling the impacts of online catering UGC and MGC on customer satisfaction in-depth. By studying the collected 130,412 review data from a leading online catering review website in China, we empirically extracted several new UGC topics using a topic model, thereby expanding the customer value factor set from previous literature; we also quantitatively analyzed their effectiveness in explaining customer satisfaction. We further integrated the UGC and MGC, and causally elaborated upon the usefulness of targeted responses in customer relationship management through difference-in-difference (DID) analysis. The findings validated that the effectiveness of management response on customer future satisfaction is relatively limited compared to the impact brought by the rating variables in UGC, but targeted management responses can perform more effectively in improving customer satisfaction. In addition, moderation roles based on the consumption price and the subjective emotional tendency of customers revealed in the textual comments were also investigated. Thus, this study helped to form a comprehensive understanding of customer satisfaction by contributing to a better quantification of customer value factors and understanding of the influence mechanism for customer satisfaction through the integration of UGC and MGC. Several managerial implications for optimizing customer relationship management in online catering markets were also provided.

Measuring the Internal Consistency and Reliability of the Hierarchy of Controls in Preventing Infectious Diseases on Construction Sites: The Kuder-Richardson (KR-20) and Cronbach's Alpha

Before initiating data collection, it is customary to assess the validity and reliability of the formulated question or instrument to ensure the collection of high-quality data for research purposes. Consequently, this study aims to evaluate the internal consistency of the data through a systematic analysis procedure to test the reliability of the adapted questionnaire. The adapted questionnaire is assessed using Kuder-Richardson 20 (KR-20) and Cronbach's alpha coefficients. The study on reliability was conducted using a sample size of 30. The Kuder-Richardson 20 (KR-20) test consists of a questionnaire comprising six questions and five questions with 5-point Likert scales to calculate Cronbach's alpha. For this study, the reliability assessment of Kuder-Richardson 20 (KR-20) revealed a robust correlation of 0.73 (within the range of 0.70–0.89). However, Cronbach's Alpha analysis indicates that the reliability test for the designed questionnaire yielded an acceptable result (0.74), falling within the recommended range of 0.7 to 0.8. The results obtained from the study suggest that there is a significant correlation between the research instrument and the variables being measured. Hence, to ensure the successful implementation of preventative measures against infectious diseases at the designated site, it is imperative to conduct the questionnaire development process accurately and establish its reliability.

Material and Imaging Analysis Procedure for the Investigation of Paintings in the Archbishop’s Palace of Seville

The Archbishop’s Palace of Seville harbours an important art collection with mostly works by great Renaissance and Baroque artists. However, the authorship of some paintings is unknown, and, in a few cases, there is an interest in discovering the painter due to the quality of the artwork. As a first step for this purpose, a systematic analysis procedure has been established using non-destructive techniques, such as UV photography and IR reflectography, to locate interventions and underpaintings, as well as X-ray fluorescence to identify original pigments and those of later interventions. The study following this established protocol is presented with the example of two paintings by unknown authors. They were made in different centuries representing, consequently, different styles. UV images showed several retouches, while IR reflectography revealed under-drawing and composition corrections (pentimenti). Furthermore, XRF identified the pigments applied in the production of the different colours and tonalities, allowing to characterise the artist’s palette, whose pigments generally agree with the dates when the artworks were produced. This study resulted in valuable information on painting materials and techniques, which will be useful in the search for authorships, among others.

Technological Modernizations in the Industry 5.0 Era: A Descriptive Analysis and Future Research Directions

Unexpected instances have posed challenges to production lines over the last few years. The latest COVID-19 global epidemic is one notable example. In addition to its social impact, the virus has destroyed the traditional industrial production system. Industry 4.0 requires adapting to changing prerequisites with adaptability. However, the next movement, Industry 5.0, has emerged in recent years. Industry 5.0 takes a more coordinated approach than Industry 4.0, with increased collaboration among humans and machines. With a human-centered strategy, Industry 5.0 improves Industry 4.0 for greater sustainability and resilience. The concept of Industry 4.0 is the interconnection via cyber-physical systems. Industry 5.0, also associated with systems enabled by Industry 4.0, discusses the relationship between “man and machine,” called robots or cobots. This paper discusses the industry 5.0 possibilities, the restrictions, and future analysis potentials. Industry 5.0 is a new paradigm change that tends to bring negotiated settlement because it places less prominence on technology and assumes that the possibilities for advancement are predicated on collaboration between humans and machines. This paper aims to examine the potential implementations of Industry 5.0. Once the current progress and problem were discovered, the previous research on the investigated topic was reviewed, research limitations were found, and the systematic analysis procedure was developed. The classifications of industry 5.0 and the sophisticated technology required for this industry revolution are the first subjects of discussion. There is additional discussion of the application domains enabled by Industry 5.0, such as healthcare, supply chain, production growth, cloud industrial production, and so on. The research also included challenges and problems investigated in this paper to understand better the issues caused by organizations among some robotic systems and individuals on the production lines.

Optimal Controller Design for Transient Stability Enhancement of Grid-Following Converters Under Weak-Grid Conditions

Modeling and design-oriented control of transient stability of grid-following converters have attained an increasing interest in recent years. Despite novel nonlinear models enabling a design-oriented enhanced transient stability controller, the focus has so far been limited to study only the synchronization dynamics of the phase-locked loop. To expand upon the knowledge of the large-signal performance and stability, this article proposes a systematic analysis procedure of a grid-following converter under weak-grid conditions and large-signal disturbances including the outer dc-link and ac-side voltage control loops. A reduced-order large-signal model is used to analyze the large-signal nonlinear behavior of the system using the area of the basin of attraction as a measure for large-signal robustness. Here, stabilizing and destabilizing trends for outer-loop controller parameters are given. Through a surrogate-model expensive black-box optimization algorithm, a computational-efficient optimal design of the outer-loop controller parameters is proposed to maximize the large-signal robustness. Finally, a recommendation and a design guideline for converter constraints and outer-loop controller parameters are given. This can be used to identify the influencing parameters for grid-following converters under large-signal disturbances, and as a tool for fast controller optimization toward large-signal robustness.

An approach of identifying the common human and organisational factors (HOFs) among a group of marine accidents using GRA and HFACS-MA

In considering effective countermeasures for preventing the same (or similar) type of accidents from happening again, an investigation and analysis to identify the common human and organisational factors (HOFs) among a group of accidents would be beneficial for decision making. The present study aims at proposing an approach that is capable of identifying the common HOFs between or among accidents, in line with the concept of reason’s swiss cheese model, without losing the context details of individual accidents. This approach applies why-because analysis, Human Factors Analysis and Classification System (HFACS) for Maritime Accidents (HFACS-MA, a derivative of HFACS) and grey relational analysis (GRA) to constitute a systematic analysis procedure that is divided into three stages. The first two are to identify the causal HOFs involved in every accident and to figure out the causation among them, and then the categories of the identified HOFs are classified according to the HFACS-MA in turn. Having these analysis results, the GRA, and two associative analysis processes, constituting the third stage of the procedure, are applied to identify the common HOFs from those accidents concerned. An experimental case study, with five marine accidents, is utilised to demonstrate that the analysis results of the proposed approach can not only illustrate the common HOFs among these accidents, but also reveal a comprehensive insight into each analyzed accident. Some considerations, including the future work, associated with the proposed method are also discussed and concluded in this article.

Rippability Assessment of Weathered Sedimentary Rock Mass using Seismic Refraction Methods

Rippability or ease of excavation in sedimentary rocks is a significant aspect of the preliminary work of any civil engineering project. Rippability assessment was performed in this study to select an available ripping machine to rip off earth materials using the seismic velocity chart provided by Caterpillar. The research area is located at the proposed construction site for the development of a water reservoir and related infrastructure in Kampus Pauh Putra, Universiti Malaysia Perlis. The research was aimed at obtaining seismic velocity, P-wave (Vp) using a seismic refraction method to produce a 2D tomography model. A 2D seismic model was used to delineate the layers into the velocity profile. The conventional geotechnical method of using a borehole was integrated with the seismic velocity method to provide appropriate correlation. The correlated data can be used to categorize machineries for excavation activities based on the available systematic analysis procedure to predict rock rippability. The seismic velocity profile obtained was used to interpret rock layers within the ranges labelled as rippable, marginal, and non-rippable. Based on the seismic velocity method the site can be classified into loose sand stone to moderately weathered rock. Laboratory test results shows that the site’s rock material falls between low strength and high strength. Results suggest that Caterpillar’s smallest ripper, namely, D8R, can successfully excavate materials based on the test results integration from seismic velocity method and laboratory test.

The development of the Scaled Accelerated Loading Simulator facility and transfer functions to the full-scale pavement using theory of similitude by finite element analysis

The purpose of this study is to investigate the relationship of the vertical deformation between the scaled-down pavement test and full-scale pavement structure according to the theory of similitude-based analysis procedure. Finite element analysis used to investigate and establish the relationship between the scaled-down and full-scale models. Four scaled-down models with scaling factors of 0.9, 0.75, 0.6, and 0.45 with two types of constitutive models of asphalt concrete materials, elastic and viscoelastic, are considered. The results show that the vertical deformation in the full-scale model achieved by applying a vertical shift to the vertical deformation in the scaled-down model. The vertical shift factor varies linearly in normal and logarithm scale with the scaling factor from 0.9 to 0.45 for linear elastic and viscoelastic material, respectively. Moreover, this study proposes a systematic analysis procedure to determine the testing temperature in the SALS test at a specific loading speed by using the time–temperature superposition principle. This study contributes considerably to preliminary understanding of the relationship between the scaled-down tester in the laboratory and the full-scale model according to the theory of similitude.

Frequency analysis of GPS data for structural health monitoring observations

In this study, low- and high-frequency structure behaviors were identified and a systematic analysis procedure was proposed using noisy GPS data from a 165-m-high tower in Istanbul, Turkey. The raw GPS data contained long- and short-periodic position changes and noisy signals at different frequencies. To extract the significant results from this complex dataset, the general structure and components of the GPS signal were modeled and analyzed in the time and frequency domains. Uncontrolled jumps and deviations involving the signal in the time domain were pre-filtered. Then, the signal was converted to the frequency domain after applying low- and high-pass filters, and the frequency and periodic component values were calculated. The spectrum of the tower motion obtained from the filtered GPS data had dominant peaks at a low frequency of 1.15572x10-4 Hz and a high frequency of 0.16624 Hz, consistent with two equivalent GPS datasets. Then, the signal was reconstructed using inverse Fourier transform with the dominant low frequency values to obtain filtered and interpretable clean signals. With the proposed sequence, processing of noisy data collected from the GPS receivers mounted very close to the structure is effective in revealing the basic behaviors and features of buildings.

A H∞/μ solution for microvibration mitigation in satellites: A case study

The research work presented in this paper focuses on the development of a mixed active-passive microvibration mitigation solution capable of attenuating the transmitted vibrations generated by reaction wheels to a satellite structure. A representative benchmark provided by the European Space Agency (ESA) and Airbus Defence and Space, serves as a support for testing the proposed solution. The paper also covers modeling and design issues as well as a deep analysis of the solution within the H∞/μ setting. Especially, an uncertainty modeling strategy is proposed to extract a Linear Fractional Transformation (LFT) model. Insight is naturally provided into various dynamical interactions between the plant elements such as bearing and isolator flexibility, gyroscopic effects, actuator dynamics and feedback-loop delays. The design of the mitigation solution is formulated into the H∞/μ framework leading to a robust H∞ control strategy capable of achieving exemplary active attenuation performance across a wide range of reaction wheel speeds. A systematic analysis procedure based on the structured singular value μ is used to assess and demonstrate the robust stability and robust performance of the microvibration mitigation strategy. The proposed analysis method is also shown to be a powerful and reliable solution to identify worst-case scenarios without relying on traditional Monte Carlo campaigns. Time domain simulations based on a nonlinear high-fidelity industrial simulator are included as a validation step.

New Approach for Stability Analysis of Interconnected Nonlinear Discrete-Time Systems Based on Vector Norms

The stability analysis of interconnected large-scale systems is generally characterized by some degree of difficulty, specifically when the interconnections gather a large number of nonlinear subsystems and the couplings evolve according to nonlinear functions in time. In this paper, a novel systematic analysis procedure of fully interconnected discrete-time nonlinear systems with nonlinear interconnections is presented. First, a new arrow form representation of the interconnected system state space model is generated. The obtained generalized thin arrow state matrix is developed by combining the instantaneous subsystems characteristic polynomials, as well as a set of arbitrary and freely parameters. Then, the stability analysis is achieved using the comparison principle and vector norms by translating the stability properties of the lower-dimensional comparison system into those of the considered interconnected system. Aside the proposed systematic formulation and simplicity over existing techniques based mainly on LMIs, it is shown that through an appropriate choice of the model parameters, the developed stability conditions are opportune to locate interesting estimation of the stability domains. Lastly, two numerical examples are included to show the effectiveness of the proposed approach.

Configuration of hydrological processes in a steep hillslope through causality analysis of soil moisture measurements

AbstractThe vertical and lateral profiles of temporal variations in soil moisture are important for understanding the hydrological process along hillside transects. In this study, relationships among measured soil moistures were explored to configure the hydrological contributions of different flowpaths. All the measured soil moistures included a common stochastic structure because rainfall, the hydrometeological driver, is the main factor that determines the soil moisture response feature, and the infiltration process through the topsoil at a shallow depth is also common in all measured soil moisture histories. Therefore, the relationships between the measured series are also affected by both rainfall and topsoil infiltration. The common stochastic structure of the soil moisture series was removed via a prewhitening procedure. A systematic analysis procedure is presented to delineate the exclusive causal relationships among multiple soil moisture measurements. A monitoring system based on multiplexed time domain reflectometry was used to obtain soil moisture time series along two transects on a steep hillslope during the rainy season. The application of the proposed method for monitoring points in two adjacent locations provided 8, 12, 14, and 13, 16, 22 causal relationships for vertical, lateral in parallel, and diagonal directions, respectively, along the two transects. The point‐based contributions of the internal flowpath can be evaluated as the correlation is normalized in the context of inflow and outflow. The hydrological processes in the soil layer, vertical flow, lateral flow, downslope recharge, and return flow were quantified, and the relative importance of each hydrological component was determined to improve our understanding of the hydrological processes along the two transects of the study area. Copyright © 2011 John Wiley & Sons, Ltd.

A systematic procedure for analysis of third-order charge pump phase-locked loop (PLL)

This paper represents a simple and easy to learn method for analysis and design of third-order charge pump phase-locked loop (PLL) and provides analytical equations for calculating the desired specifications such as phase margin (PM), damping ratio and small signal settling time. The proposed method is based on dominant pole approximation. In other words, this method is based on the approximation of the transfer function of the third-order PLL through transfer function as a second order system. The validity of the obtained analytical equations has been verified in two examples. Simulation results of the introduced method demonstrate precision in designed parameters. Key words: Charge pumps phase-locked loop (PLL), phase detector, phase margin (PM), settling time, damping ratio, natural frequency.

Using Decoy Effects to Influence an Online Brand Choice: The Role of Price–Quality Trade-Offs

This research aims to investigate decoy effects on online brand choices. To assess the influence of decoys, we test decoy effects on three constructs-product involvement, judgment conditions, and decoy conditions-within an online experiment. A survey of 635 Internet users and a 2 × 2 × 3 ANOVA between-subjects experimental design is used to guide the research design and the systematic analysis procedure. A major finding of this study is that a standard decoy seems to have a significant effect on an advertised (target) brand for high-involvement products; from the survey, it is also apparent that competitors can also use inferior decoys to increase brand preference for low-involvement products.

Interactive Analysis of Agent-Goal Models in Enterprise Modeling

Understanding and analyzing the needs of an enterprise in the early stages of a project requires knowledge about stakeholders, their goals, interactions, and alternative actions. Agent-goal models offer a way to systematically and graphically capture this information, even as it evolves through continued elicitation. However, the complexity of resulting models makes it difficult to evaluate the achievement of key stakeholder goals within a model without applying systematic analysis procedures. Existing approaches to agent-goal model evaluation focus on automated procedures, without explicitly promoting model iteration and domain elicitation. In this paper, the authors argue that “Early” Enterprise modeling requires analysis procedures that account for the incompleteness and informality of early agent-goal models, facilitating iteration, elicitation, and user participation. A qualitative, interactive evaluation procedure for agent-goal models is introduced, using the i* Framework illustrated. Case study experience and results of an exploratory experiment show the applicability of the procedure to early enterprise analysis.

How Can Web Advertising Influence Male and Female Beliefs

This paper reviews the application of ELM to understand how men and women differ in their evaluation of information content and the visual presentation used in web advertising. It verifies the ELM by examining several variables influencing consumers' beliefs of web ads. These variables include (a) advertising appeals (rational/emotional), (b) personal and product involvement (high/low), (c) the gender (female/male). A survey of 591 Internet users investigated by which a 2×2×2 ANOVA between-subjects experimental design is used to guide the research design and the systematic analysis procedure. The result of this finding is that in high-involvement situations, people are more likely to click a Web ad with a rational advertising appeal contrast than an ad with an emotional advertising appeal. Also we find that a rational advertising appeal ad contrast than an emotional advertising one is evaluated more favorably by males than females. Managerial implications for the user of these ad execution cues are discussed and future research avenues are proposed.

Developing an ARIS-House-Based Method from Existing Information Systems to Project-Based Enterprise Resource Planning for General Contractor

In recent years, general contractors in the construction industry have gradually begun to implement a system called enterprise resource planning (ERP). During the ERP implementation process, contractors performed required analyses on daily operation functions demanded by the enterprise. The analyses focused on function mapping to ensure that ERP satisfies all the requirements, including the functions of existing information systems, and meets future requirements. The process of function mapping in the construction industry typically involves a series of lengthy and time-consuming meetings, and face-to-face discussions; systematic analysis procedure was lacking. This research will propose a novel function mapping approach, the Architecture of Integrated Information Systems (ARIS)-house-based (AHB) method, to enhance the effectiveness of meetings and improve the efficiency of discussions. In addition, AHB method will use the structure of ARIS-house diagram to guide the function mapping process, streamline existing information systems, meet future requirements, and successfully implement ERP. Finally, this research will use a case study to verify the effectiveness of the AHB method for contractor to implement ERP.

A framework for attack patterns' discovery in honeynet data

Collecting data related to Internet threats has now become a relatively common task for security researchers and network operators. However, the huge amount of raw data can rapidly overwhelm people in charge of analyzing such data sets. Systematic analysis procedures are thus needed to extract useful information from large traffic data sets in order to assist the analyst's investigations. This work describes an analysis framework specifically developed to gain insights into honeynet data. Our forensics procedure aims at finding, within an attack data set, groups of network traces sharing various kinds of similar patterns. In our exploratory data analysis, we seek to design a flexible clustering tool that can be applied in a systematic way on different feature vectors characterizing the attacks. In this paper, we illustrate the application of our method by analyzing one specific aspect of the honeynet data, i.e. the time series of the attacks. We show that clustering attack patterns with an appropriate similarity measure provides very good candidates for further in-depth investigation, which can help us to discover the plausible root causes of the underlying phenomena. The results of our clustering on time series analysis enable us to identify the activities of several worms and botnets in the collected traffic.

Stochastic analysis of soil moisture to understand spatial and temporal variations of soil wetness at a steep hillside

Systematic analysis procedures for point scaled data are required to explain spatial and temporal distributions of soil moisture during storm flows and subsequent low flow periods. In this study, field and simulated data of soil wetness were used to improve the understanding of hydrological processes at the hillslope scale. Using multiple TDR sensors on a steep hillside, soil moisture responses to sequential rainfall events were obtained as multiple time series data. Mathematical descriptions of the soil moisture transfer processes can provide the hydrological basis for time series analysis with measured soil moisture at the hillslope scale. The spatial distribution of the models selected for monitoring points of the study area was obtained by applying time series modeling procedures to the measured data. The variation of soil moisture can be characterized using the final model structures in conjunction with terrain attributes such as topographic wetness indices or the distances between monitoring points and the outlet.

Response of piping system on friction support to bi-directional excitation

Installation of friction devices between a piping system and its supporting medium is an effective way of energy dissipation in the piping systems. In this paper, seismic effectiveness of friction type support for a piping system subjected to two horizontal components of earthquake motion is investigated. The interaction between the mobilized restoring forces of the friction support is duly considered. The non-linear behavior of the restoring forces of the support is modeled as an elastic-perfectly plastic system with a very high value of initial stiffness. Such an idealization avoids keeping track of transitional rules (as required in conventional modeling of friction systems) under arbitrary dynamic loading. The frictional forces mobilized at the friction support are assumed to be dependent on the sliding velocity and instantaneous normal force acting on the support. A detailed systematic procedure for analysis of piping systems supported on friction support considering the effects of bi-directional interaction of the frictional forces is presented. The proposed procedure is validated by comparing the analytical seismic responses of a spatial piping system supported on a friction support with the corresponding experimental results. The responses of the piping system and the frictional forces of the support are observed to be in close agreement with the experimental results validating the proposed analysis procedure. It was also observed that the friction supports are very effective in reducing the seismic response of piping systems. In order to investigate the effects of bi-directional interaction of the frictional forces, the seismic responses of the piping system are compared by considering and ignoring the interaction under few narrow-band and broad-band (real earthquake) ground motions. The bi-directional interaction of the frictional forces has significant effects on the response of piping system and should be included in the analysis of piping systems supported on friction supports. Further, it was also observed that the velocity dependence of the friction coefficient does not have noticeable effects on the peak responses of the piping system.