Client Behavior Research Articles

Association rule mining algorithm implementation for e-commerce in the retail sector

The growth of online trading platforms and the development of market technology have forced businesses to take part in the analysis of client behavior. Therefore, this research aims to analyze customer behavior in the Kyrgyz Republic to enhance supplier's revenue, service quality, and customer satisfaction. This data was analyzed using the apriori algorithm. Results generated 118 rules which revealed strong connections between items and showed up to 61.06% relationship between the consumption of products, suggesting a connection among the considered items. Thus, the association rule highlights the significance of association rule mining in uncovering valuable insights within sales transaction data. These insights can inform targeted marketing efforts, inventory management, and the enhancement of customer experiences and optimize business strategies to meet customer preferences, ultimately fostering growth and competitiveness in the retail sector.

The changing meaning of "no" in Canadian sex work.

With the migration of sex workers to online advertising in Canada, a substantial body of research has emerged on how they communicate with prospective clients. However, given the enormous quantity of archival material available, finding representative ways to identify what sex workers say is a difficult task. Numerical analysis of commonly used phrases allows for the analysis of large numbers of documents potentially identifying themes that may be missed using other techniques. This study considers how Canadian sex workers communicate by examining how the word "no" was used by online advertisers over a 15-year period. Source materials consisted of three collections of online classified advertising containing over 4.2 million ads collected between 2007 and 2022 representing 214456 advertisers. Advertisers and demographic variables were extracted from ad metadata. Common terms surrounding the word "no" were used to identify themes. The word "no" was used by 115127 advertisers. Five major themes were identified: client reassurance (54084 advertisers), communication (47130 advertisers), client race (32612 advertisers), client behavior (23863 advertisers), and service restrictions (8545 advertisers). The probability of there being an association between an advertiser and a major theme was found to vary in response to several variables, including: time period, region, advertiser gender, and advertiser ethnicity. Results are compared with previous work on race and risk messaging in sex work advertising and factors influencing client race restrictions are considered. Over time, the restriction related themes of client behavior, service restrictions, and client race became more prominent. Collectives, multi-regional, cis-female, and Black or Mixed ancestry advertisers were more likely to use restrictions.

Digital Transformation of Incumbent Pipeline Firms through Platformization

ABSTRACT Advancements in digital technology necessitate a shift from traditional linear buyer-supplier value chains to a network-centric approach facilitated by digital platforms. Despite digital platforms being a dominant model for transformation, limited research has explored the enablers for incumbent pipeline firms to embrace platformization. To address this gap, this study reviews existing literature on digital transformation, identifying nine enablers for digital platformization: changing client behavior, information technology (IT) capabilities development, structural efficiencies, disruptive competitive forces, scope advantages, economic triggers, disruptive third-party technology, creation of autonomous corporate structures, and regulatory compliance. Case studies of platformization in diverse industries are analyzed using the modified total interpretive structural modeling (m-TISM) approach, resulting in a hierarchical model with five levels. This model delineates interrelationships among trigger events, external enablers, internal organizational enablers, process enablers, and outcome drivers. Furthermore, the study highlights that the creation and extraction of value from digital platforms are operationalized through e-business strategies, contributing insights to e-business literature by discussing the implications of these enablers on dimensions such as commerce, collaboration, communication, connection, and computing.

Implementasi Kebijakan Pojok Konseling Keluarga Pusat Pembelajaran Keluarga di Kelurahan Bubutan

The function of the family is of concern to many parties, one of which is the government's attention because the family is the first step to creating a better quality of life. The aim of establishing a counseling corner is to change behavior or circumstances in clients who previously had or did things that were not good. Another aim is to ensure mental health and find solutions to the problems faced by clients, as well as improving the quality of the client's self. Apart from that, the goal that we really want to achieve with the existence of a counseling corner in the RW hall is to create a better life and personality. So Puspaga services are provided at the Bubutan Village RW Hall, which is one of the innovations of the Surabaya City Government to bring public services closer to the community. Research on Policy Implementation for Family Counseling Corners and Family Learning Centers uses descriptive methods with a case study approach. The results of the research that has been carried out show that the Counseling Corner Facilitators and Puspaga facilitators have been able to provide closer services to the community by providing Puspaga Balai RW services in Bubutan Village which include counseling and psychological assistance, socialization or promotion and parenting services.

The Effectiveness of The Family Mentoring Model in Improving the PENSIKU (Knowledge, Attitudes and Behaviour) of Clients and Families in Treating Hypertension

Background: Hypertension is the most common disease experienced by the community and usually appears without complaints so that many clients do not know that they have suffered from hypertension. Until now Hypertension is still a major problem and is the first cause of death in the world. Purpose: This study aims to determine the effectiveness of the family assistance model in improving the PENSIKU (knowledge, attitudes and behavior) of clients and families in treating hypertensive hypertension. Methods: The study design used quasi-experimental Non-Randomized Control Group Pre-Test Post Test Design on 120 hypertensive clients and 120 families. The instrument used in this study was the PENSIKU questionnaire. Equality analysis before intervention and control group models was performed with an independent t-test with α = 0.05. To determine the change in the average value of the intervention and control groups using the dependent t-test. Results: The results showed that the Family Assistance Model was effective in improving the PENSIKU (knowledge, attitudes and behavior) of clients and families in treating hypertensive hypertension. This is shown by the increase in client PENSIKU (knowledge, attitudes and behavior) by 7.1% and family PENSIKU (knowledge, attitudes and behavior) by 5.8%. Conclusions: This model is recommended to be implemented in all community health center areas as an effort to control hypertension.

Music therapy for therapeutic development in personality disorders: A qualitative case study.

People with personality disorders (PDs) are often difficult to reach emotionally in therapy. As music therapy (MT) provides an entry point to emotions and facilitates contact and communication, it is regularly used with this target group. This study presents a case study of a 40-year-old woman diagnosed with a PD not otherwise defined. "Nina" experienced depressive and physical symptoms, including severe anxiety. Previous treatments had failed. In MT, she experienced a sense of safety. Over the course of the treatment, she experimented with making herself heard, learned to listen to herself and recognize her own physical signals, permitted closeness and cooperation, and began setting boundaries and taking initiative. She got in touch with and learned to regulate emotions such as sadness and fear. Self-criticism gave way to a more compassionate self. Nina began to experience positive feelings and showed progress in her work and social interactions. The findings suggest that MT can directly connect to clients' emotions, behaviors, and thoughts in a way they perceive as safe. This is of the utmost importance for clients who are hard to reach. The use of MT can potentially prevent dropout and further entrapment in personality problems.

Child-Gendered Mental Spaces Triggered by Space Builders Reflect Art Psychotherapy Clients' Childhood Experiences

ABSTRACT
 The language behaviour of clients’ reflection journey on art psychotherapy in the final stage of art psychotherapy sessions entitled ‘Reflect Interview’ reflects their childhood experiences that become a lifetime memory. In this paper, the topic of how the clients can construct their conceptual ideas of childhood experiences is discussed under a cognitive approach to language study. This article argues that: 1) There are REFLECTION SPACE, REALITY SPACE, DEPICTION SPACE and POSSIBILITY SPACE of the child-gendered mental spaces in the reflection journey on art psychotherapy, 2) Subject-Verb combinations, connectives and adverbs as the space builder on the child-gendered mental spaces and 3) Intersection between gender and child has experienced by the psychotherapy clients are generally related to weakness, depression, struggle and difficulties that become children's memories during their lifetime. These results are supported by a few background cases and government role illustrations in Indonesia.
 Keywords: Art psychotherapy; child-gendered mental spaces; space builder.

Clinic Staff Perceptions of Implementing a Sexual and Reproductive Health Entertainment-Education Program for Young Women of Color.

Entertainment-education interventions remain underutilized in sexual and reproductive health (SRH) despite evidence that they can be effective and place a low burden on staff. This study explores perceived facilitators and barriers for implementing an entertainment-education video intervention for 18- to 19-year-old African American and Latina women in SRH clinics. Cross-sectional online survey (n=100) and telephone interviews (n=19) were completed May through August 2018. SRH clinics were located across 32 US states and 1 Canadian province. SRH clinic staff were diverse in type of clinic, role, and geography and were recruited using purposive sampling. Bivariate analyses were used for quantitative data, and thematic analysis was used for qualitative data. Intervention acceptability, perceived feasibility, and likely uptake were assessed using agreement statements (survey) and open-ended questions (interviews and survey). Interviewed clinic staff described the intervention as engaging, educational, and promising for improving client SRH knowledge and behaviors. Nearly all (95%) survey respondents said showing the video would be feasible. Most (56%) indicated likely uptake, which was significantly associated with perceived feasibility (P=.000), acceptability (P≤.001), and working at a public health clinic (P=.023). Implementation barriers included the video's potential relevance to only certain clients and the need for additional information or staff and/or management buy-in. This is the first study to assess perceived implementation facilitators and barriers of an entertainment-education video intervention among SRH clinic staff. The intervention was well received, with certain barriers potentially alleviated by offering information about entertainment-education and multiple implementation methods. These findings can help improve dissemination efforts for video-based entertainment-education interventions in clinics serving young women of color.

An examination of auditor hypothesis testing strategies in ‘tone at the top’ evaluations: Evidence of diagnostic knowledge structures

This study examines the tests auditors design to assess a client's ‘tone at the top’. By exploiting conceptual differences in the constructs of ethicality and competence, the study investigates auditor knowledge structures by disentangling auditor hypothesis testing strategies. The results of an experiment document that auditors design tests to yield evidence of unethical and competent, rather than ethical and incompetent, client management behaviour. This overall pattern of results, and in particular auditors' focus on seeking evidence of client management competence, is consistent with a diagnostic hypothesis testing strategy and is not consistent with a conservative testing strategy. Collectively, these results provide insights into how auditors' ‘tone at the top’ knowledge is organized and used.

Towards flexible data stream collaboration: Federated Learning in Kafka-ML

Federated learning is applied in scenarios where organisations lack sufficient data volume for modelling their business logic and cannot share their data with external parties. Moreover, Industry 4.0 and IoT scenarios generate massive data streams, which normally are fed to ML/AI solutions for model training and prediction. However, in most cases, ML/AI frameworks are not prepared to work with these streaming pipelines. In this paper, we present an asynchronous federated learning solution based on the Kafka-ML data stream framework, which is able to combine federated learning and data stream capabilities within ML/AI applications. While most federated learning approaches are tailored to a specific ML model or a use case, the solution provided adapts itself to the availability of both data and ML models, achieving a flexible and dynamic federated learning solution. To validate its performance, an evaluation of the federated learning solution is carried out on different scenarios in a multi-node state-of-the-art infrastructure. Results show that this framework can work with multiple federated clients, being the resulting accuracy dependent on the amount of data and the behaviour of clients during training.

Study Philosophy of Wound Care on DFU in an Effort of Wound Healing and Prevent Infection Based on Self-Care

Actualization of the self-care concept that affects DFU client wound healing in terms of the need for independent wound care that is able to facilitate the success of achieving client goals and preventing infections that can progress to gangrene. This literature aims to find out the study of the philosophy of DFU wound care based on independent wound care by clients. This literature study was carried out by searching scientific publications starting in 2018-2022. The databases used are PubMed, Science Direct, and ProQuest. A literature search was carried out according to the topic with four groups of keywords based on Medical Subject Heading (MeSH) and combined with the Boolean operators AND, OR and NOT, the keywords Wound Care AND DFU AND Self-Care AND Wound Healing. Results: Study of wound care for DFU clients based on self-care which is a study of ontology, epistemology, and axiology. Self-care philosophy focuses on self-ability as an active agent through a dynamic process that directs the behavior of DFU clients in caring for their own wounds to achieve wound healing. Wound care interventions are quality, evidence-based tools that support self-care and can be used with or without the direct supervision of a healthcare professional. The motivational approach is carried out to prevent negative impacts and avoid them. A holistic approach to the health and well-being of everyone, taking into account their circumstances, needs and desires throughout life, as well as the environment in which they live will improve the client's coping so that independent wound care by a DFU client will increase the efficiency of wound healing. Conclusion: The concept of wound care for DFU clients based on self-care is beneficial for families, especially for DFU clients themselves because they can be done at any time and have a better understanding and achieve their expected goals.

Psychotherapist perceptions of engagement-building behaviours with youth clients across developmental levels.

Building a positive therapeutic relationship is a challenging, yet critical, first step in conducting youth psychotherapy. A number of studies in the youth treatment literature have indicated that a positive therapeutic alliance is related to increased treatment attendance, participation, and outcome. Some research has examined therapist behaviours for engaging therapy clients; however, developmental differences in alliance formation have had limited exploration. The current study surveyed clinicians about their use of specific engagement strategies and the developmental stage of their youth clients. It was hypothesised that participants would differentially rate the importance of different aspects of therapeutic engagement based upon a youth client's developmental stage and that these would correspond with differences in specific engagement strategies. A total of 64 clinicians with experience treating youth completed the study. The participants completed a questionnaire administered online that asked them to rate the importance of developmental differences to forming a therapeutic relationship and provide example client behaviours from their clinical experience for each developmental stage. Results showed clinicians felt the relative importance of collaboration, advocacy, and trustworthiness increased with age. These differences were also evidenced in the specific strategies clinicians endorsed in relation to each engagement factor across developmental stages. This program of research will eventually aid in the development of new guidelines for engaging clients in youth psychotherapy. In addition, the results may be used to enhance psychotherapy training for those working with children and adolescents.

Digitalization Of Marketing as Innovation Tool of Customers’ Evaluation

This paper analyses the digitalization of museum marketing as an innovative tool for customer evaluation. The content analysis of digital tools created by the most visited museums in the world on social networks such as Facebook, Twitter and Instagram were carried out. To obtain statistical information about the pages of museums in social networks, the social media analytics and management tool Fanpage Karma was used. According to the selected indicators, Fanpage Karma filters the rating of the networks’ current strongest content. The correlation between the number of museum visits and indicators showing the interaction of the museum with visitors using social networks, such as the number of fans, the page performance index, the number of posts per day, the growth rate of followers, post interactions, and the number of total reactions and comments, was evaluated. The aim of this paper is to analyse the impact of museum marketing digitalization processes on museum visits by tourists and, as a result, the economic development of the museum business. To monitor the digitalization strategy of the museum’s marketing activities, a mixed approach based on qualitative and quantitative analysis was used. Multivariate analysis was carried out to determine the relationship between museum attendance and the interaction between museums and subscribers in social networks. It has been proven that the introduction of digital technologies in museum marketing can attract visitors and put the institution at the new informational level. The number of museum visits and the number of fans, the number of posts per day, interactions, and the number of reactions and comments are the same across all social networks. The paper allows us to know the potential audience of the museum and its needs and requests and to predict the interests of certain categories of museum visitors. The scientific novelty and originality of the research consists of the use of digital marketing tools for evaluating their influence on client behaviour. The results of the study may be useful for the development of monitoring systems and strategic management of marketing when evaluating the behaviour of consumers on the content of social networks at enterprises in various industries.

Exploring Diverse Methods of Reverse Engineering MQTT Client Interfaces

The fast evolution of Industry 4.0 and smart manufacturing has led to an increased reliance on MQTT (Message Queuing Telemetry Transport) as a lightweight messaging protocol for efficient machine-to-machine communication. Despite MQTT being well-suited as a standard protocol for the Industrial Internet of Things and the increasing provision of MQTT interfaces by manufacturers for their production machines, the presence of poorly documented, non-machine-readable APIs poses challenges. Consequently, integrating these devices into an existing production environment requires significant effort and is prone to errors.In this paper, we explore diverse methods for extracting valuable information from running MQTT clients, enabling the reconstruction of their communication interfaces with the associated endpoints. This information can then be transformed into a standardized machine-readable format. The AsyncAPI Initiative has defined such an industry standard for defining asynchronous APIs, which includes MQTT. These AsyncAPI Specifications can be used to make a subsequent implementation of programs that interact with these interfaces more fast and reliable.The presented approaches focus on extracting interface information by analyzing network traffic and MQTT messages. We concentrate on observing the behavior of MQTT clients from an external perspective, deliberately disregarding the internal workings and program code of the clients themselves. Furthermore, we discuss an approach to map the data from the intercepted MQTT communication to a AsyncAPI Specification.Through our research, we aim to provide insights into the various techniques that can be employed to reverse engineer MQTT client interfaces effectively. By leveraging these approaches, it is possible to gain valuable knowledge about MQTT client communication interfaces, thus simplifying the subsequent implementation of programs that interact with these interfaces.

Mapping the Role of Digital Health Interventions to Enhance Effective Coverage of Antenatal Care: A Scoping Review.

Antenatal care (ANC) is a core component of maternal health services. However, only half of the pregnant women in LMICs obtain WHO recommended minimum of four antenatal contacts. In addition, ANC 4+ is a commonly used indicator in monitoring ANC utilization. However, contact coverage alone provides no indications of service quality. In recent years, digital health interventions bring opportunities to provide quality maternal health care. Yet, there are few reviews on how digital health interventions contribute to improving effective coverage of antenatal care. A rigorous review that examines the role of digital health interventions in improving effective coverage of antenatal care is needed to examine how digital health solutions were rapidly deployed to support quality antenatal care service delivery. This review aimed to map evidence on the role of digital health solutions on quality of antenatal care service to enhance effective ANC coverage. A scoping review approach was used and four Databases (PubMed, Cochrane Library, Scopus and Embase) as well as search engines like Advanced Google Search and Google Scholar were searched from September 1 to 8, 2022. Thematic content analysis was used to present the findings. A total of 1701 articles were searched. A total of 27 full-text studies were included in the final analysis. The most reported use of digital health was for client education and behavior change communication. Most studies showed that digital health interventions have proven effective in improving antenatal care. However, most of the studies did not address to assess the quality of ANC services. In this review, we found out that digital health solutions targeted at pregnant women can improve antenatal care services. There is body of evidence showing the effectiveness of digital health interventions on a range of maternal health outcomes. Few pieces of literature exist on the use of digital health interventions on the quality of antenatal care services. There is a need for more trial and program evaluation studies that examine the role of digital health interventions on the quality of ANC.

Simulation model of a queuing system in the service of state registration, cadastre and cartography

The results of formalizing the queuing system in the public not-for-profit company Roskadastr have been presented in this study. For this purpose, all objects involved in processing applications have been identified. Applications included all services that the company provided when the client contacted the appropriate specialist during a personal visit or electronically. The channels for processing applications and the states in which they might be have been established. Based on this, a parametric model has been developed that characterized the processes arising when processing any applications. Models of behavior of clients and company employees have been built. Based on the obtained data and the developed parametric model, a three-dimensional simulation model has been generated, demonstrating different scenarios of system behavior.

Intimidation and Information Repetition: How Client Behaviors Influence Auditor Judgments

Intimidation and Information Repetition: How Client Behaviors Influence Auditor Judgments

Predictive Modelling of Customer Sustainable Jewelry Purchases Using Machine Learning Algorithms

In order to give businesses useful information, the main goal of this study is to forecast future consumer purchases in the sustainable jewelry sector. Companies launching new goods, services, or modifications to their current offers must anticipate client behaviours. Businesses can learn a lot about how current customers behave by studying their behaviour in order to develop marketing and sales techniques that work. The study uses a variety of statistical and machine learning methods to forecast the most important elements influencing the purchasing of sustainable jewelry in order to achieve this. These variables span a wide range of characteristics, including gender, age, educational attainment, occupation, gross monthly income, marital status, previous jewelry purchase history, purchase intention, preferred shopping locations, online purchase influencers, consumer buying patterns, preferences for branded and non-branded jewelry, and participation in sustainable jewelry practices. In this study, supervised classification algorithms such Naive Bayes, Support Vector Machine, Linear Discriminant Analysis, K-Nearest Neighbor, and Decision Tree are compared over a wide range of machine learning approaches. To increase the predictive model's effectiveness and resilience, ensemble learning techniques including Random Forest, AdaBoost, and Bagging Classifiers are also introduced. A confusion matrix and classification report are the performance indicators used to assess these models. When used on a test dataset, these measures evaluate the model's precision, recall, accuracy, and F1 scores. These measurable metrics are essential for evaluating the models' reliability and efficacy. Notably, the study shows that the approaches of Random Forest, Decision Tree, Bagging Classifier, and Linear Discriminant Analysis continuously produce the highest accuracy rates, all of which stand at a remarkable 100% accuracy. Other used machine learning classifiers, such as Naive Bayes, K-Nearest Neighbor, Support Vector Machine, and AdaBoost algorithms, which provide significantly lower accuracy scores, fall short of this degree of accuracy. The Random Forest Classifier, which boasts a remarkable accuracy score of 100% for the training dataset and a reasonable 53% for the testing dataset, is particularly noteworthy. This classifier surpasses its competitors, demonstrating its potency in forecasting purchases of sustainable jewelry. In order to forecast sustainable jewelry purchases, this study uses a rigorous methodology that draws on a variety of statistical and machine learning models. The Random Forest Classifier is the most accurate and significant model for this predictive task, with Precision, Recall, and F1 scores of 100, according to the results, which were assessed using multiple performance measures like Precision, Recall, and F1 score.

Особливості та проблеми дифузії клієнтських баз у діяльності ІТ-підприємств України

The purpose of the study is to identify the features and problems of diffusion of the client base of IT enterprises in Ukraine, to develop recommendations for solution of the latter. The article outlines the general situation in the IT market, in particular, draws attention to its turbulence and high instability of consumer preferences, when supply in the market dominates over demand. The components of the concept of «diffusion of client bases of enterprises» are considered. Under the concept of «diffusion» it is proposed to consider the conception that describes the patterns of distribution of cultural, social, economic and other phenomena, initially concentrated in one or more places, which imply the presence of a certain share of uncertainties, and «client base» – as the main source of business and income of the enterprise, containing information about both existing and potential clients. The main advantages of maintaining a client base of activities are presented, in particular: preservation of data; transfer of a client from one manager to another; analysis of the market situation; assessment of the target audience; formation of marketing strategy and business development. It is noted that client-oriented business management allows to increase the profit and overall efficiency of the enterprise by increasing the amount of revenue from the existing client base, as well as by optimizing operating costs. The stages of formation of the client base of activity for IT enterprises are proposed and detailed as: planning, development, implementation, and analysis. Attention is drawn to the matter that the main indicator of the diffusion of the client base of an IT enterprise is the «drawdown» of sales, which can be caused by both internal and external factors of influence. The statistics of changes in the geography of hiring on the example of the largest domestic IT enterprises, which is one of the indicators of client behavior, has been studied. It is noted that large enterprises do not experience the diffusion of the client base of activity to the same extent as it happens with small companies, so the diffusion of the client base of IT enterprises from Ukraine is not a mass phenomenon. Recommendations to encourage clients to cooperate with Ukrainian IT companies are proposed. Prospects for further research in this direction are the study of the specifics of the recovery of global demand in the IT industry after the recession.

Promoting Values-Informed Development in an Elite Dual-Career Endurance Athlete

This case study reports a values-based intervention with an elite dual-career athlete over an intermittent 2-year time period. The longitudinal psychological support process (i.e., intake, needs analysis, case formulation, intervention, and evaluation) is reported, and practitioner reflections are provided at the end of the case study. The intervention focused on the client-led production of personal core values and the exploration of how these could inform the athlete’s behavior change and goal attainment in sport and other life areas. Monitoring and evaluation findings suggested effective integration of values within training and competition settings, based on the observation of client behaviors and qualitative feedback from the client and their coach. The case study seeks to emphasize the importance of practitioner adaptability in developing client-led, values-based interventions that aim to facilitate holistic athlete development.