Client Interactions Research Articles

Moral conflict and moral distress in veterinarians: a mixed-methods approach.

Veterinary professionals are often confronted with moral conflicts from which moral distress can develop. Moral distress can lead to a cascade of deleterious processes and outcomes including emotional anguish, distress, reduced patient care, and attrition from both the workplace and workforce. The current study established a pilot measure for moral distress in Australian veterinary clinicians, as well as reporting additional sources of moral and ethical conflicts in veterinary practice. The pilot scale was based on adapting the Measure of Moral Distress for Healthcare Professionals (MMD-HP) to the veterinary context and analysing responses from 643 veterinarians in Australia to create the Measure of Moral Distress for Veterinary Clinicians (MMD-VC). The MMD-VC comprised three sub-scales: (1) team communications that compromise patient care, (2) conflicting client interactions and (3) situations perceived as a personal threat. The additional sources of moral and ethical conflict that were reported by respondents to an open-ended survey question reflected two themes: (1) Animal Health, where the conflict arises from the effect of a situation on the animal patient and (2) Human Interactions, where the conflict relates to interpersonal relationships rather than to the animal patient. The results contribute towards developing comprehensive measures of moral and ethical conflict in clinical practice, and these measures can inform and evaluate intervention strategies designed to mitigate the harmful effects of moral distress in veterinarians.

Professional burnout as a demotivation factor among social workers

In the modern world, social workers face high demands and stress levels, making them especially susceptible to professional burnout. This article examines the relationship between professional burnout and demotivation among social workers and identifies effective strategies for prevention and mitigation. The study results indicate a significant relationship between burnout levels and decreased work motivation, impacting on the quality of social services and overall profession satisfaction. Contributing factors include excessive workloads, lack of support from colleagues and management, and challenges in client interactions. Based on the data obtained, a number of recommendations were developed to improve work settings and reduce burnout risks. These include implementing psychological support programs, training in stress management, revising workloads and workflows, and strengthening organizational culture to promote employee well-being. The study suggests the need for a comprehensive approach to the problem of professional burnout of social workers, including organizational changes and development of individual self-help and professional development strategies. According to the author, these measures aim to improve professional satisfaction and enhance the effectiveness of social work.

The dynamic triage interplay of Hsp90 with its chaperone cycle and client binding

Hsp90, a crucial molecular chaperone, regulates diverse client proteins, impacting both normal biology and disease. Central to its function is its conformational plasticity, driven by ATPase activity and client interactions. However, comprehensive insights into Hsp90’s dynamic molecular transitions remain elusive. Using solution NMR spectroscopy, we reveal how ATP binding, hydrolysis, and client engagement drive conformational and dynamic shifts in E. coli Hsp90, HtpG, through its chaperone cycle. Pronounced conformational fluctuations occur, especially in regions crucial for nucleotide binding and conformational transitions. ATP binding induces slow-exchanging conformations, representing discrete on-path transition states from open to closed forms, while ATP hydrolysis shifts HtpG into a compact conformation. Client binding acts as an allosteric switch, dynamically priming HtpG for elevated chaperone activity and, therefore, its efficient remodeling. Here, we provide atomic-level insights into Hsp90’s functional mechanism, highlighting the interplay of conformation, dynamics, nucleotide, and client interactions.

AI-powered business model innovation: Analyzing the implications of generative AI on value creation, operational efficiency and market dynamics

The revolutionary way that generative AI disrupts business models today is by delivering radical shifts in important things like value delivery, business operations, and competitiveness. It allows businesses to perform difficult tasks, orchestrate customized client interactions, and foster change throughout sectors. With endless possibilities, generative AI's risks upon implementation are as follows: Data protection, Ethical and legal spheres, and Talent demand. Some challenges must be overcome when adopting AI in any organization to harness this technology for work benefits. Generative AI will continue to define future business models ' directions and contours through innovation, support of the decision-making process, and a focus on the principles of ethical entrepreneurship. This paper discusses the opportunities of generative AI for business model innovations, its effect on operational improvement, and entering a new kind of competition in a market. Finally, it reveals the factors that companies experience when implementing AI and presents the possible future trend of deploying business models based on artificial intelligence.

Review of Literature: Business Sustainability Essentials For Business Startup

This literature review discusses research related to business model innovation and startup sustainability. The review shows that business model innovation plays an important role in increasing profits and value creation, which also helps startups survive in a dynamic business environment. Sustainable business models, concepts such as a business approach that emphasizes ethical practices and accountability in addressing social, environmental, and economic impacts, consumer awareness and technological innovation play an important role. The importance of the elements of an eco-conscious approach to business operations, particularly in light of the fierce competition and significant transformations shaping the food industry. These elements include client segments, the connections and interactions a business maintains with its customers to build loyalty and trust., key activities, key resources, partner network and cost structure. With regard access to resources and activities that involve the use of innovative, distinctive, and eco-friendly raw materials, along with certain assets, can ensure high-quality products with low environmental impact

Human vs. AI counseling: College students' perspectives

Transitioning to college life while navigating the complexities of emerging adulthood can be stressful. In some instances, it may even lead to the onset of mental health problems or the exacerbation of existing issues. While therapeutic resources are typically available in tertiary educational contexts, social stigma may lead to service underutilization. Additionally, high student-to-therapist ratios can create bottlenecks to access when such services are sought. Offering an adjunct to traditional campus counseling services, AI chatbots can potentially address such issues. Chatbots can provide flexible, accessible, anonymous, and cost-effective first-line support, improving access and extending traditional treatment methodologies. This study evaluates college students' perceptions (N = 224) of an AI chatbot (Pi) designed to emulate supportive and empathetic interactions characterized by active listening. Participants blindly assessed transcripts from active listening interactions between a client and Pi versus interactions between a client and a human counselor/therapist. The results indicate that participants could not distinguish between the human-human and human-AI counseling transcripts, answering correctly only 47.5% of the time. Moreover, participants gave higher quality ratings to the human-AI counseling transcripts than the human-human ones. These findings provide tentative support for the user-acceptability of relational AI chatbots during the counseling process's early phases (active listening and problem exploration).

CRITICAL SUCCESS FACTORS OF AGILE SOFTWARE DEVELOPMENT IN WATERFALL PROJECT: A CASE STUDY APPROACH

The evolution of software development methodologies has seen Agile rise in response to the limitations of traditional approaches like Waterfall, characterized by its iterative, collaborative, and adaptable nature. However, integrating Agile within the rigid, structured frameworks of organizations accustomed to Waterfall presents significant challenges. This study addresses how to effectively combine these methodologies to mitigate conflicts and achieve successful project outcomes by identifying and analyzing the Critical Success Factors (CSFs) that enable a harmonious integration of Agile into Waterfall environments. Conducted at PT ABC, a firm balancing formal client interactions and contract creation with internal adoption of Scrum, this research uses the Analytic Hierarchy Process (AHP) to systematically prioritize CSFs through literature review, questionnaire development, data collection, and pairwise comparison analysis. The findings reveal that "Communication and Team Environment" is the most influential factor, with a priority vector weight of 0.178, followed by "Project Management and Strategy," "Leadership and Management Support," and "User and Customer Engagement." These factors are pivotal in achieving a balance between control and flexibility in software development projects. The study's implications for PT ABC and other organizations, especially those handling multiple projects and requiring on-site presence while managing other projects, demonstrate how to leverage the strengths of both methodologies for optimal project outcomes. This research provides a model for other organizations striving for similar integrative efforts, showcasing practical strategies to enhance project flexibility and coordination.

Empirical Reality versus Theoretical Framework: Street-Level Bureaucrats' Behavior in Driver's License Services at Pinrang Police Resort, Indonesia

This study investigates the behavioral dynamics of street-level bureaucrats (SLBs) in the driver's license (SIM) service at the Pinrang Resort Police (Polres Pinrang) in Indonesia, juxtaposing empirical findings with Michael Lipsky's seminal theory of street-level bureaucracy. Employing a qualitative phenomenological methodology, the research seeks to elucidate the influence of working conditions on SLBs' behavioral patterns and the consequent impact on public service quality. Data were collected through semi-structured interviews with SLBs and service recipients, non-participant observations, and document analysis, then subjected to iterative thematic analysis using interactive model. The findings reveal notable divergences from Lipsky's theoretical propositions. SLBs at Polres Pinrang encounter reduced ambiguity in policy objectives and performance evaluation, attributable to effective communication channels, comprehensive standard operating procedures, and a robust performance appraisal system. Despite resource limitations and escalating service demands, SLBs exhibit adaptability in delivering responsive services through access rationing strategies, task routinization, and collaborative partnerships with interdepartmental units and community stakeholders. Contrary to the nonvoluntary client interactions posited by Lipsky, SLB-SIM applicant engagements are characterized by enhanced humanization and responsiveness. Nevertheless, Lipsky's theoretical insights maintain relevance in the broader landscape of public service provision. The study underscores the criticality of striking a balance between procedural adherence and client-centric responsiveness to optimize service quality.

دور الابتكار والتطوير في تحسين جودة المنتجات وزيادة رضا العملاء في شركات التأمين بالمملكة العربية السعودية

The goal of this research is to evaluate the influence of innovation and development in boosting product quality and increasing customer satisfaction in insurance firms in the Kingdom of Saudi Arabia. A quantitative technique was adopted, with a sample size of 120 persons. Data were obtained by surveys, and the replies were examined using statistical analytic methods. The findings reveal a considerable influence of product development on enhancing customer experience and boosting customer satisfaction in insurance firms in Saudi Arabia. Additionally, the results show the significance of product development in boosting internal procedures, which also leads to higher customer satisfaction inside these firms. Furthermore, the research reveals that the function of product development in boosting the efficacy of marketing activities is vital in encouraging consumer happiness in the insurance industry. Entirely, the study highlights the vital need of providing insurance solutions that not only suit the requirements of clients but also improve their entire experience. The consequences of these results are deep, as they show that a focus on product innovation may lead to increased operational efficiency and more efficient marketing techniques, which eventually lead to higher customer satisfaction levels. This research adds to the current literature by giving insights into how insurance firms might employ product development to strengthen their competitive edge in the marketplace. By understanding the link between product innovation, internal procedures, marketing effectiveness, and customer happiness, insurance businesses may develop tactics that correspond with consumer expectations and enhance overall service quality. In conclusion, this research stresses the essential importance of product development in the insurance business and its direct association with customer satisfaction in Saudi Arabia. The findings serve as a significant reference for insurance businesses trying to strengthen their product offerings and improve client interactions in an increasingly competitive climate.

Psychology Students’ Experiences of the Objective Structured Clinical Examination as an Assessment of Professional Skills in Psychology

A challenge for professional psychology programs is the assessment of students’ professional competence. Despite its potential, objective structured clinical examination (OSCE) has not gained widespread use in the psychological field. However, at Umeå University and Örebro University in Sweden, the OSCE has been introduced at the Clinical psychology programs to assess professional competence. The aim of this study was to explore students’ perceptions of whether and how, preparing for and performing the OSCE benefits their professional learning and prepares them for clinical practice. A web-based questionnaire was administered to 88 psychology students who completed the OSCE and field training. Most of the students perceived the OSCE as a valuable experience that benefits their learning. The OSCE prepared them for clinical practice through practical hands-on training, and by providing essential experience in client interaction, increasing students’ confidence in the role as a psychologist. Students also reported that feedback from the OSCE was crucial for their ongoing learning, but that the authenticity of the examination can be improved. Based on these findings, recommendations for future OSCEs in professional psychology include appropriate preparations, providing constructive feedback as well as striving for high authenticity in the tasks of the OSCE stations.

Collaboration with clients to create journal notes: A mixed methods evaluation of a pilot intervention study in a municipality mental health services team

AbstractIntroductionThe purpose of this study was to evaluate an intervention designed to encourage therapists in a municipality mental health services team to collaborate with their clients when writing journal notes. The team was part of a low‐threshold mental health service for children, adolescents and their parents. The therapists offered individual therapeutic sessions with children, adolescents and parents, as well as family sessions. The therapists documented their encounters in the clients' electronic health records.MethodsThe study used a convergent mixed methods design. First, the quality and quantity of documented therapist–client interactions were measured before and after the intervention using the Scale for the Evaluation of Staff‐Patient Interactions in Progress Notes (SESPI). Cross‐tabulation and logistic regression analyses were used to examine potential differences in the recording of therapists' approaches before and after intervention. Second, we explored the therapists' experiences of participating in this project by conducting individual in‐depth interviews. Qualitative interviews were analysed by systematic text condensation. Finally, the quantitative results from assessing the journal notes were contextualised with the qualitative results from the interviews.ResultsThe number of journal notes describing therapist approach and client response increased by 25% points after the intervention. In the interviews, the therapists acknowledged the intervention's relevance to their practice. However, they invited only a limited number of clients to co‐create journal notes. The clients welcomed the invitation.ConclusionCollaborative documentation challenges established journal documentation practices and may strengthen the client's voice. This study provides suggestions for strengthening the intervention in the future full‐scale studies.

Optimizing Administrative Professionalism: A Strategic Approach to Elevate Clientele Satisfaction in Service-Oriented Environments

Professionalism is crucial in shaping client experience in organizations, yet many organizations lack strategies to enhance staff conduct, leading to inconsistent service, communication gaps, and inadequate training. Essential qualities such as competence, courtesy, honesty, integrity, and specialized knowledge significantly impact client interactions, complaint resolution, and organizational image. This study, conducted at the City College of Calamba, Philippines, surveyed 1,126 students to assess their perceptions of professionalism among administrative personnel providing student services and evaluate customer satisfaction. Using a descriptive correlational approach with stratified random sampling and simple statistical treatment such as mean and Goodman and Kruskal's Gamma Correlation, the study established a correlation between staff professionalism and satisfaction, proposing a development program based on its findings. The survey found high levels of professionalism and customer satisfaction, recognized staff strengths in professional communication and accountability, and indicated areas for growth in problem-solving. The significant relationships between job performance, service delivery, ethics, and satisfaction highlight professionalism’s impact on consumer perspectives. The novelty of this study lies in its focus on the correlation between professionalism and satisfaction within an educational setting, offering insights for targeted development programs. Limitations include a small sample size, which may affect generalizability, reliance on self-reported data, cross-sectional design, and a focus on one institution, which may overlook broader contextual nuances.

In-person, hybrid or remote? Employers’ perspectives on the future of work post-pandemic

We present an employer-side perspective on remote work through the pandemic using data from top executives of 129 employers in North America. Our analysis suggests that at least some of the pandemic-accelerated changes to the work location landscape will likely stick; with some form of hybrid work being the norm. However, the patterns will vary by department (HR/legal/sales/IT, etc.) and by sector of operations. Top three concerns among employers include: supervision and mentoring, reduction in innovation, and creativity; and the top three benefits include their ability to retain / recruit talent, positive impact on public image and their ability to compete. An Ordered Probit model of the expected April 2024 work location strategy revealed that those in transportation, warehousing, and manufacturing sectors, those with a fully in-person approach to work pre-COVID, and those with a negative outlook towards the impact of remote work are likely to be more in-person-centered, while those with fully remote work approach in April 2020 are likely to be less in-person-centered. Lastly, we present data on resumption of business travel, in-person client interactions and changes in office space reconfigurations that employers have made since the beginning of the pandemic.

An automated social media manager based on artificial intelligence

In today's world of social media, where brands and companies constantly interact with their audiences, the automation of content management processes is becoming increasingly important. Manual content creation, publication, and analysis on social networks require significant resources and time. Automated social media management systems based on artificial intelligence help simplify these processes, enhancing efficiency and optimizing audience engagement strategies. Artificial intelligence in social media marketing systems allows for the automation of tasks such as creating text posts, scheduling publications across different platforms, and analyzing user interactions. Artificial intelligence can analyze audience behavior, predict the optimal time for posts, and recommend changes to content strategies for maximum reach. This not only saves time but also improves the effectiveness of marketing campaigns through more accurate analytical data. However, the automation of social media marketing also faces challenges. The primary issues include the complexity of integrating different social networks into a single management system and the limitations in generating high-quality content that meets the emotional and stylistic requirements of the brand. Additionally, a major challenge is content personalization based on data analysis, which must account for each audience segment's unique needs and behavioral characteristics. Despite these challenges, the prospects for developing automated social media marketing managers are promising due to ongoing innovations in artificial intelligence and machine learning. Future research and development will focus on improving the quality of automated content generation, enhancing user interfaces, and integrating new social platforms to expand multi-channel marketing campaign management capabilities. Thus, the automation of social media marketing is a promising field that will enable brands and companies to optimize their audience engagement strategies while significantly reducing the time and resources required for content creation, publication, and analysis. This work presents the structure of the main entities of an automated social media management system based on artificial intelligence, including users, professions, questions, answers, settings, and integration with Telegram. The developed system enables efficient content management, automates publications, and personalizes audience interaction based on user responses. The system's described key components, attributes, and relationships provide scalability and flexibility, allowing brands and companies to optimize their marketing strategies and client interactions.

Maintaining and Improving Virtual Call Centers for Public Health: The CUNY Recovery Corps Experience.

In the early stages of the COVID-19 pandemic in New York City, individuals who tested positive, exposed contacts, and their families faced significant challenges in accessing essential resources for successful quarantine and isolation. These resources included alternative housing, food access, grocery delivery, missed wage assistance, transportation for household members, medical care, and more. The City University of New York (CUNY) Recovery Corps emerged as an innovative virtual resource navigation service to connect New Yorkers to essential resources and later to vaccinations, treatment, and services for Long COVID. The program prioritized reaching people living in underserved and under-resourced neighborhoods. Over 3years, it made a substantial impact, reaching 374728 New Yorkers and connecting 135147 to crucial resources. Implementing a successful virtual navigation center amidst a global pandemic posed unique challenges. It required well-established systems to provide services, manage staff, build community, and both assure and improve service quality. Continuous quality assurance and process improvement efforts resulted in a nearly 10-point increase in successful client-resource connections program-wide, with individual navigators showing improvements of up to 20%. Staff-led initiatives, such as population-specific resource guides and incentive awards, boosted morale and cohesion. Providing continuous professional development opportunities and requested training including trauma-informed care, self-care, and strategies for managing grief contributed to staff retention and improved client interactions. The CUNY Recovery Corps provides a blueprint for setting up navigation services for emergency response and supporting health and social services. The current paper delves into the intensive quality improvement efforts, program management infrastructure, and staff support that made this program a success. By applying these lessons on establishing and maintaining a virtual call center prioritizing the client's well-being and staff strengths, policymakers and social service leaders can effectively address various health and social service needs proactively rather than rebuilding after each disaster.

LLMs for Data Analysis and Client Interaction in MedTech

LLMs for Data Analysis and Client Interaction in MedTech

Evolution of Requirements Engineering in Agile Methodology – Literature Review

Requirements Agile approaches have transformed engineering. This paper shows how RE in Agile software development has evolved from documentation-heavy to collaborative, adaptable, and customer-focused. Agile was born in the mid-1990s when the industry realized it needed to respond to changing client needs and market volatility. This evolution includes iterative development, client interaction, and emphasizing communication above documentation, as discussed in the paper. By comparing conventional and Agile RE approaches, we demonstrate the benefits of adapting to change, working with customers, and delivering functional software faster. This analysis provides a persuasive description of Agile RE implementation methodologies and resources through a detailed literature review and real-world experiences. User stories and backlog refinement are notable techniques. The research finishes by exploring how these techniques affect team dynamics, project success, and customer satisfaction. RE's Agile difficulties and opportunities are also examined. The findings illuminate RE methods' successful adaptation to Agile projects' dynamic character. Software development is more responsive and effective due to this adaptation.

Role of Generative Artificial Intelligent In Indian Banking Sector: Challenges & Opportunities

Generative Al offers a considerable improvement over the traditional Al models which are mostly employed for classification or prediction tasks. In addition to supporting data augmentation in situations where data is scarce, it exhibits creativity in producing original text, images, or music. It also enables personalization to produce tailored content, greatly improving user experience and opening up new avenues for increased productivity for business and technology teams. Gen AI is completely changing the banking industry by producing content, mimicking human behavior, enhancing client interactions, offering real-time support, and increasing operational efficiency. Through deep learning algorithms, it improves client experiences, expedites procedures, and strengthens risk management. By putting ethical standards into place, encouraging openness, and guaranteeing data security and privacy, the sector can realize this potential. Banks are using generative artificial intelligence (AI) to solve persistent problems like fraud detection, fraud prevention, customer targeting, data summarization, enhancing conversational bots, and product integration. This technology can supply digital items through digital channels, increase data summarization, and improve user experience.

Detecting Probation and Parole Officer Adherence to the Made-in-Ontario CCP Model of Community Supervision

The current study aims to assess probation and parole officers' (PPOs) adherence to the Made-in-Ontario Core Correctional Practice (CCP) model of community supervision with justice-impacted people. Case notes from 5 PPOs (for 45 clients) were coded to examine if evidence of CCP strategies used during PPO and client interactions could be reliably detected in PPO case notes. Preliminary findings indicate promising evidence for the detection of CCP strategies within case notes. Inter-rater reliability was also found to be high. Future considerations include expanding the study to a larger sample, refining the coding manual, and examining potential covariates. These insights contribute to understanding the integration and effectiveness of CCP practices into community supervision settings.

Securities financing and asset markets: new evidence

Abstract Using survey data on secured funding arrangements provided by broker–dealers for their clients—a class of contracts that includes bilateral repo—we document that financing rates, collateral haircuts, lending maturities, and position limits move strongly together over time and across asset classes. Liquidity of the underlying securities, as opposed to their volatility or credit risk, is the main driver of this behavior, with dealer balance-sheet constraints also playing a role in the funding of less-liquid security types. A simple model of dealer–client interaction rationalizes these findings. Instrumenting with changes in market conventions, we find that funding conditions had little effect on cash securities markets between 2011 and 2019, but the tightening of terms during the market stress of early 2020 likely impaired liquidity and reduced asset returns to some degree.