Efficacy Of Communication Research Articles

A Study on the Consumer Satisfaction on Postal Article Safety Through Last Mile Delivery for the Postal and Courier Industry

The customer satisfaction is closely linked to the security and integrity of postal items at the last mile delivery stage in the ever-changing postal and courier sector. This research explores the complex world of consumers' experiences and perceptions of their packages' safety on the last leg of delivery. The research design in this study is quantitative. A quantitative research design involves the collection and analysis of numerical data to understand and quantify consumer experiences with last-mile parcel delivery. Total sample about 245 questionnaires were collected and the analysis using SPSS software. The goal of the inquiry is to comprehend customer behaviours, expectations, and concerns regarding the safety of postal articles during last-mile delivery. Important components, including handling procedures, delivery schedules, communication efficacy, and package quality, will be closely examined to see how they affect customer satisfaction and confidence in the postal and courier services. The objective of this study is to examine the factors influence consumer perceptions on the practice of parcel delivery at the doorstep when not at home for service improvement to ensure parcel safety. This study aims to provide useful information to industry stakeholders by highlighting the postal article safety customer experience. The results are anticipated to guide tactics and procedures that improve the security measures used by courier and postal services, eventually encouraging a customer-focused strategy throughout the last-mile delivery stage. The results of this study seek to optimise postal item safety, assuring a good and secure customer experience in the constantly changing world of postal and courier logistics, as the sector grapples with elevated consumer expectations and changing market dynamics

Enhancing Patient Safety Through Effective Interprofessional Communication: A Focus on Medication Error Prevention.

Medication errors significantly impact patient safety and healthcare costs. This study investigates the influence of interprofessional communication on medication error rates, with a focus on identifying actionable strategies to improve communication efficacy among healthcare professionals. Utilizing a quantitative approach, this research distributed a detailed online questionnaire to a broad cohort of healthcare workers in various settings within Saudi Arabia. The survey encompassed sections on demographics, the frequency and quality of interprofessional communication, perceived barriers and facilitators to effective communication, and personal experiences with medication errors. Statistical analysis was performed using SPSS to derive descriptive and inferential statistics, alongside thematic analysis for qualitative responses. The survey attracted 1165 respondents, predominantly aged 20-30 (68.58%) and female (65.49%). Pharmacists constituted the largest professional group (40.34%). We identified a notable positive correlation (r = 0.16) between high-quality interprofessional communication and employment in hospital environments or having 5-20 years of experience. In contrast, negative correlations were observed with employment in non-traditional healthcare settings (r = -0.19) and professionals with less than five years of experience (r = -0.13), indicating communication challenges. The analysis also highlighted a concerning frequency of prescription and dispensing errors, with 52.70% of participants reporting prescription errors as the most common issue encountered. Effective interprofessional communication is pivotal in mitigating medication errors within healthcare settings. The study illuminates specific areas for improvement, including the need for targeted communication training, particularly for less experienced professionals and those in non-traditional settings. Enhancing communication channels and fostering an environment conducive to open, interdisciplinary dialogue are essential steps towards advancing patient safety and reducing medication errors.

Transformative Leadership Strategies in Healthcare: A Panacea for Fostering a Positive Work Environment

Promoting a positive work environment through effective communication, emotional intelligence, bias, and cultural awareness are crucial in healthcare leadership. This paper looks into the transformative potential of leadership strategies in healthcare, emphasizing their role as a panacea for cultivating positive work environments. The study adopts a desk research to explores the dynamic interplay of communication efficacy, emotional intelligence, and cultural competence within healthcare leadership. Drawing on empirical evidence and experiential insights, this research discovered that cultural disparities, emotional intelligence, and personal biases could significantly impact how healthcare professionals interact with patients and deliver services the paper advocates for transformative leadership as a solution to fostering inclusive, compassionate, and thriving work environments. By championing effective communication, nurturing emotional intelligence, and embracing cultural diversity, healthcare leaders can play a pivotal role in enhancing team dynamics, staff morale, and ultimately elevating patient care outcomes.

Perceived communication efficacy and unmet needs for chemotherapy-associated symptom management in patients with lung and colorectal cancer: a cross-sectional study

BackgroundUnderstanding cancer patients’ unmet needs for chemotherapy-related symptom management will assist clinicians in developing tailored intervention programs. Little is known about the association between perceived communication efficacy and unmet care needs for symptom management in patients with lung and colorectal cancer.ObjectivesTo examine the unmet care needs for symptom management of patients with lung and colorectal cancer and their association with perceived communication efficacy.MethodsA cross-sectional survey was conducted in a tertiary hospital in China from July to November 2020. A convenience sample of 203 patients with lung and colorectal cancer undergoing chemotherapy completed survey questionnaires, including the MD Anderson Symptom Inventory Scale and the Perceived Efficacy in Patient‒Physician Interactions Scale.ResultsApproximately 43% of participants had at least one symptom with unmet needs. Fatigue was reported as the symptom with the highest occurrence (66%), the highest demand for supportive care (36%), and the highest prevalence of unmet needs (19%). Low levels of perceived communication efficacy independently predicted participants’ unmet needs for symptom management (β=-0.13, p = 0.011).ConclusionsThis study highlights the necessity of introducing clinical assessment tools and guidelines to address fatigue and other chemotherapy-induced symptoms in patients with lung and colorectal cancer. Clinical programs designed to actively engage cancer patients to voice their needs and strengthen their communication efficacy are also warranted.

The Efficacy of Social Media Communication in Engaging Citizen Scientists: Insights From the Jozi Bee Hotel Project

The Jozi Bee Hotel Project recruited Johannesburg residents to help gather data on solitary bee abundance. They were motivated and guided by a strategic communications campaign. This study explores social media’s impact on the citizen scientists’ project involvement, particularly their interaction with visual elements of the communications campaign. Analysis of engagement metrics reveals that social media played a crucial role in sustaining volunteer participation. This demonstrates that a well-executed, ongoing social media campaign has the power to maintain participant engagement throughout the duration of a research project. It suggests that a consistent, long-term social media strategy can drive citizen science participation.

Cross-Cultural Communication and Co-Directional Theory: Assessing the Impact of Cultural Background on Communication Efficacy Among International Students in Malaysia

The association of intercultural communication (IC) and international students has become increasingly evident in the global expansion of higher education. This study introduces the Cross-Cultural Communication model (CCCM), which explains Cultural Background (CB), Level of Cross-Cultural Adaptation (LCCA), Proficiency in Common Language (PCL), and Communication Efficacy (CE) as distinct stages in intercultural development. Focusing on international students in Malaysia, the research employed a quantitative survey method analyzing data from 215 among multi-cultural students. . Our findings show cultural background’s has positive and significant impact on cross-cultural adaptation, proficiency in common language, and communication efficacy. There was also a direct and significant impact of a level of cross-cultural adaptation and proficiency in common language on communication efficacy. Moreover, the extent to which individuals adapt to different cultures and their proficiency in a common language mediate the association between cultural background and communication efficacy. The findings reveal a progression from acquiring a cultural background (CB) to developing a level of cross-cultural adaptation (LCCA), enhancing proficiency in common language (PCL), and achieving communication efficacy (CE). These findings lend empirical support to the foundational assertions of the CCCM.

Cyber Threat Intelligence on Blockchain: A Systematic Literature Review

Cyber Threat Intelligence (CTI) has become increasingly important in safeguarding organizations against cyber threats. However, managing, storing, analyzing, and sharing vast and sensitive threat intelligence data is a challenge. Blockchain technology, with its robust and tamper-resistant properties, offers a promising solution to address these challenges. This systematic literature review explores the recent advancements and emerging trends at the intersection of CTI and blockchain technology. We reviewed research papers published during the last 5 years to investigate the various proposals, methodologies, models, and implementations related to the distributed ledger technology and how this technology can be used to collect, store, analyze, and share CTI in a secured and controlled manner, as well as how this combination can further support additional dimensions such as quality assurance, reputation, and trust. Our findings highlight the focus of the CTI and blockchain convergence on the dissemination phase in the CTI lifecycle, reflecting a substantial emphasis on optimizing the efficacy of communication and sharing mechanisms, based on an equitable emphasis on both permissioned, private blockchains and permissionless, public blockchains, addressing the diverse requirements and preferences within the CTI community. The analysis reveals a focus towards the tactical and technical dimensions of CTI, compared to the operational and strategic CTI levels, indicating an emphasis on more technical-oriented utilization within the domain of blockchain technology. The technological landscape supporting CTI and blockchain integration emerges as multifaceted, featuring pivotal roles played by smart contracts, machine learning, federated learning, consensus algorithms, IPFS, deep learning, and encryption. This integration of diverse technologies contributes to the robustness and adaptability of the proposed frameworks. Moreover, our exploration unveils the overarching significance of trust and privacy as predominant themes, underscoring their pivotal roles in shaping the landscape within our research realm. Additionally, our study addresses the maturity assessment of these integrated systems. The approach taken in evaluating maturity levels, distributed across the Technology Readiness Level (TRL) scale, reveals an average balance, indicating that research efforts span from early to mid-stages of maturity in implementation. This study signifies the ongoing evolution and maturation of research endeavors within the dynamic intersection of CTI and blockchain technology, identifies trends, and also highlights research gaps that can potentially be addressed by future research on the field.

Forecasters, emergency managers, and residents: Building better risk communication.

The US National Weather Service (NWS) and emergency managers (EMs) around the country are tasked with communicating severe weather information to the public. Frequent interaction between professionals and residents is essential to building effective partnerships. This paper investigates these interactions and also explores the perspectives of NWS forecasters, EMs, and rural residents related to the efficacy of warning communication, message understanding, preferred platforms, and engagement in protective actions. Data for this study were collected through three original survey instruments that were directed to NWS forecasters and EMs across the country, and residents in four rural communities. Findings reveal that residents generally understand warning messages and generally feel tornado risk communication is effective in their communities. However, residents do not appear to have a plan of action formulated prior to a warning and are, therefore, making, rather than implementing, a plan when warning is issued. This study gives rural residents a voice in the warning communication process and a chance for forecasters and EMs to gain valuable information as they better plan to serve these communities.

Multidimensional sentiment analysis method on social media data: comparison of emotions during and after the COVID-19 pandemic

PurposeThis study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.Design/methodology/approachA mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.FindingsThe results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.Research limitations/implicationsThe primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.Practical implicationsUnderstanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.Social implicationsThe study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.Originality/valueThis research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

Arima Forecasting In Soymeal And Beyond: An Empirical Study Bridging The Path To Millet-Based Forecasting

In India, Dealer Relationship Management (DRM). Has a significant importance due to opening up of domestic economy, as a result of globalization. The consumer durables products industry's complicated dealer-retailer connection is examined in this research. The study examines how trust, communication efficacy, long-term commitment, and service quality affect retailer’s loyalty. Interesting insights into these processes are found. While dealer trust and retailer’s loyalty are linked, it is not statistically significant, suggesting additional inquiry. However, the study shows that dealers' communication skills greatly affect retailer’s loyalty. Transparent, open, and timely communication drives strong retailer’s relationships, suggesting that equipping dealers with communication skills might help them last. Dealer devotion is strongly linked to retailer’s loyalty, according to the findings. Long-term engagement methods over short-term transactions are important to build deeper and more enduring relationships with retailers because retailers seek stability and continual assistance. Finally, service quality greatly affects retailer’s loyalty, according to the study. The study will be depended on primary data. The primary data was collected through a sample survey conducted in Andhra Pradesh state market. Stratified random sampling method was used to pick samples. The sample size was 150. The survey was conducted through personal interview based on a structured questionnaire. Structural Equation Model is used the analyze the data.

Dynamic Communication in Emergency Response: A Data-Driven Evaluation with the Emergency Communication Test

This research provides a data-driven assessment of dynamic communication in emergency response, highlighting important findings supported by actual data. In comparison to police officers in law enforcement situations, EMTs responded to medical crises 25% quicker, according to the response time research. When it came to communication accuracy, firemen performed at a 96% accuracy rate during fire situations, compared to a 91% accuracy rate in law enforcement circumstances. When compared to law enforcement situations, there was a 3% improvement in the completeness of information shared in fire incidents. Additionally, compared to accident situations, police officers' communication efficacy in law enforcement occurrences was 2.3% greater. These results highlight how crucial customized communication plans, data-driven insights, and technology and training integration are to maximizing dynamic communication in emergency response systems.

Weighted Multiple-sensor Combining Algorithm for Long-range Underwater Acoustic Communications and Experimental Results

In very long-range underwater acoustic communications, enhancing communication performance often involves augmenting the received signal-to-noise ratio (SNR) through the integration of multiple receiver sensors. However, in cases where sensors are linearly combined, those with inferior performance can significantly impact overall communication efficacy. Consequently, when employing linear combinations, it becomes essential to assign lower weighting factors to sensors exhibiting higher error rates, thereby enhancing overall system performance. This paper introduces a novel approach: a weighted multiple-sensor combination algorithm that leverages the preamble error rate of individual sensors. Through the utilization of turbo coding with a rate of 1/3 and 4/8-ary frequency-shift keying method, extensive experiments spanning very long distances of over 160 km in the East Sea were conducted. The results of these experiments demonstrate that the proposed weighted multiple-sensor combination algorithm markedly improves BER performance compared to conventional linear combination algorithms.

Exploration of Visual Communication Design Methods Combining Virtual Reality Technology

Abstract As digital media technologies evolve, immersive experiences have increasingly become a focal point in the field of visual communication design. This paper explores the practical implications of integrating visual communication design with cutting-edge virtual reality (VR) technology and proposes a novel method rooted in VR. Our first innovative approach involves a virtual space reconstruction technique that leverages the central eye concept to mitigate discrepancies in user experiences due to varying perceptions of content. Subsequently, we employ the Gabor wavelet transform method to extract key visual features pertinent to human-computer interaction. This allows us to develop a perceptual model of visual targets in human-computer interactions, thereby enhancing the accuracy and efficacy of visual communication by grounding it in sensory cognition and user experience. In practical application, the visual communication design method proposed in this paper has a high signal-to-noise ratio (avg=43.407) and a short computing time (avg=2.24), and its overall recognition rate in multi-sensory virtual experience is as high as 95.6%. The study validates the viability of the virtual reality-based visual communication design method proposed in this paper and encourages the innovative development of visual communication design.

The Influential Factors on Consumers’ Intention to Use NetEase Cloud Music

The Internet music sector has experienced significant growth in recent years due to advancements in electronic technology, the Internet, and the influence of the COVID-19 epidemic. NetEase Cloud Music (NCM) has successfully established a stable market position amidst this prevailing trend. As of the present year, 2023, the corporation under discussion has the position of the second-largest entity within the Chinese Internet music platform market, with Tencent Music being the sole entity surpassing it in terms of market share. The platform exhibits a substantial and enduring demographic of youthful users. The objective of this study was to investigate the factors contributing to the notable success of NCM in engaging Generation Z consumers. The analysis was conducted using the 4Is model, which encompasses an examination of the platform's historical background, present condition, distinctive attributes, and strategic approaches. The findings indicated that the utilization of the 'Interactive, Individual, and Interesting' approach, specifically through user comments, tailored recommendations, and topical ads, has contributed to the widespread appeal of NCM among the younger demographic. In order to preserve its competitive edge and foster sustainable growth, the company can consider implementing additional recommendations. These suggestions encompassed enhancing the efficacy of user communication, expanding the provision of tailored services across many facets of the application, and adeptly aligning with prevailing trends.

Brain-state-dependent constraints on claustrocortical communication and function

Neural activity in the claustrum has been associated with a range of vigilance states, yet the activity patterns and efficacy of synaptic communication of identified claustrum neurons have not been thoroughly determined. Here, we show that claustrum neurons projecting to the retrosplenial cortex are most active during synchronized cortical states such as non-rapid eye movement (NREM) sleep and are suppressed during increased cortical desynchronization associated with arousal, movement, and REM sleep. The efficacy of claustrocortical signaling is increased during NREM and diminished during movement due in part to increased cholinergic tone. Finally, claustrum activation during NREM sleep enhances memory consolidation through the phase resetting of cortical delta waves. Therefore, claustrocortical communication is constrained to function most effectively during cognitive processes associated with synchronized cortical states, such as memory consolidation.

Improving electrotactile communication with a multi-pad electrode under cognitive load.

Electrotactile systems are compact interfaces that can be used to convey information through the skin by producing a range of haptic sensations. In many applications, however, the user needs to perceive and interpret haptic stimulation while being engaged in parallel activities. Developing methods that ensure reliable recognition of electrotactile messages despite additional cognitive load is, therefore, an important step for the practical application of electrotactile displays. This study investigated if a simple strategy of repeating electrotactile messages can improve message identification during multitasking. Ten participants identified 36 spatiotemporal electrotactile messages delivered through a 3 × 2 pad-matrix electrode placed on the torso while performing a concomitant cognitive task in three conditions: the messages were presented once (No-REP), and each message was repeated three (REP3) and five (REP5) times. The main outcome measure was the success rate (SR) of message identification. During multitasking, in the No-REP condition, the SR (median (IQR)) dropped to 56.25% (22.62%), demonstrating that the cognitive task decreased performance. However, the SR significantly improved with message repetitions, reaching 72.92% (21.87%) and 81.25% (18.66%) in REP3 and REP5 conditions respectively, without a statistically significant difference between REP3 and REP5. Multitasking affected the efficacy of haptic communication, but message repetition was shown to be an effective strategy for improving performance. Additionally, only three repetitions were enough, as an additional increase in the duration of message transmission (5 repetitions) did not lead to further improvement. This study is an important step toward delivering electrotactile communication that can cope with the demands of real-world applications.

A Study on the Efficiency of Marketing Communications in Business-to-business Markets

The consumer market has received a lot of attention in marketing communications research, with the business-to-business sector receiving minimal attention up until this point. The creation and evaluation of a model of marketing communication efficacy in the business-to-business market are the main topics of this essay. The model, which incorporates aspects of marketing communication objectives, bidirectional communications, and communications channels, is tested to examine the impact economic research of these antecedent variables on marketing communications effectiveness and organizational performance, building on prior research from the marketing communications and business-to-business marketing literature. The core idea of marketing communication effectiveness is that it has a positive impact on organizational performance. It is predicated on the idea that there are factors that can positively influence how successful marketing communications are. Managerial implications are examined, and ideas for more research are offered.

FedRDS: Federated Learning on Non-IID Data via Regularization and Data Sharing

Federated learning (FL) is an emerging decentralized machine learning framework enabling private global model training by collaboratively leveraging local client data without transferring it centrally. Unlike traditional distributed optimization, FL trains the model at the local client and then aggregates it at the server. While this approach reduces communication costs, the local datasets of different clients are non-Independent and Identically Distributed (non-IID), which may make the local model inconsistent. The present study suggests a FL algorithm that leverages regularization and data sharing (FedRDS). The local loss function is adapted by introducing a regularization term in each round of training so that the local model will gradually move closer to the global model. However, when the client data distribution gap becomes large, adding regularization items will increase the degree of client drift. Based on this, we used a data-sharing method in which a portion of server data is taken out as a shared dataset during the initialization. We then evenly distributed these data to each client to mitigate the problem of client drift by reducing the difference in client data distribution. Analysis of experimental outcomes indicates that FedRDS surpasses some known FL methods in various image classification tasks, enhancing both communication efficacy and accuracy.

From Online Learner Readiness to Life-long Learning Skills: A Validation of the Learning Skills Journey Tool

One student success factor in higher education is students’ readiness to learn. An increasing number of students are learning in multiple modalities and the boundaries between course modalities continue to blur. In this context, there is a need to reassess readiness for online learning in ways that can serve all 21st century learners. The purpose of this study was to re-develop and cross-validate a measure of online learner readiness with different online student samples from two universities in the United States (combined N = 10,143). The reduced 25-item instrument retained four latent constructs: self-regulation efficacy, locus of control, communication efficacy, and technology efficacy. The emergence of these four factors replicates previous scale development studies, although individual items diverge from previous readiness instruments. Current and future applications of this redeveloped readiness instrument, the Learning Skills Journey Tool, are discussed, with a specific focus on how it can serve students throughout their learning journey.

The role of iconic places, collective efficacy, and negative emotions in climate change communication

Communication strategies designed to strengthen individual and community climate action play a key role in reducing greenhouse gas emissions and averting worst-case climate scenarios. However, communicating climate change in a way that motivates action remains a significant challenge. Through two experimental surveys with representative samples of Australian residents (n1 =723, n2 =729), we investigated whether climate messages that highlight relevant and iconic places, such as the Great Barrier Reef (GBR), could strengthen individual action on climate change and if so, what messages are most effective in motivating climate-related behaviour. Participants were randomly allocated to receive one of eight messages about climate change and/or the GBR, or a control condition. In Study 1, we found that climate messages centred around the GBR are more effective in strengthening intentions to adopt energy reduction behaviours than generic (non-reef) climate messages when compared to control. However, we find that they are limited in their ability to motivate more impactful civic and social behaviours, including those which seek to influence climate policy support. In Study 2, we found that messages emphasising collective efficacy can enhance message effect and influence the uptake of a broader range of behaviours, both intentions and in situ behaviour. Mediation analysis suggests that this effect was largely driven by emotions related to distress and that place identity and positive emotions did not play a significant role. This research offers an alternative for those looking to expand beyond traditional climate communication strategies and has implications for both theory and practice.