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This research models the impact of patient perceptions of care quality on overall patient satisfaction in a rural healthcare organization over a three-year time period. The purpose of this paper is to determine if the factors that influence perceptions of service quality change over time and if the change affects overall patient satisfaction.

Data were collected for three fiscal years (2012-2014) using a 36-question, Likert-scaled attitudinal survey. Multiple regression analysis was performed to identify which constructs of five different service quality dimensions were statistically significant in predicting overall patient satisfaction. Paired comparison of means and ANOVA F-tests highlighted significant differences across years and demographics.

Multiple regression models of overall patient satisfaction over a three-year time period had significant repeat variables, indicating salience of the dimensions and constructs of service quality that predict patient satisfaction. However, some dimensions of service quality did not remain significant from one year to another, indicating there may be a gap in the patient service cycle over an extended time frame.

This paper explored the sequential relationship between patient satisfaction survey data and perceptions of service quality over a multi-year time frame. The research focussed on outpatient medical clinics, while the majority of previous studies have focussed on acute care or inpatient stays. A longitudinal study is especially relevant for outpatient clinics where continuity of care is important.

While it is well known that managers make scheduling decisions based on multiple objectives, the majority of sequencing research is directed towards single criterion assessments of scheduling performance. A preference value decision model approach for the selection of job shop sequencing rules using multiple performance criteria is presented. The model is general in nature and may be applied to any of a number of sequencing rules and performance measures. A case example is provided to illustrate the procedure.

Healthcare facilities are entering an era of increased oversight and heightened expectations concerning both reduced costs and measureable quality. The US Affordable Care Act requires healthcare organizations to collect certain metrics, including patient assessments of quality, in order to monitor and improve the quality of healthcare. These metrics are used as a basis for graduated insurance reimbursements, and are available to consumers as an aid in selecting healthcare providers and insurance plans. The purpose of this paper is to provide healthcare providers with the analytic capabilities to better understand quality of care from the patient’s point of view.

This research examines patient satisfaction data from a multi-specialty Medical Practice Group, and uses regression analysis and paired comparisons to provide insight into patient perceptions of care quality.

Results show that variables related to Access, Moving Through the Visit, Nurse/Assistant, Care Provider and Personal Issues significantly impact overall assessments of care quality. In addition, while gender and type of care provider do not appear to have an impact on overall patient satisfaction, significant differences do exist based on age group, specialty of the physician and clinic type.

This study differs from most academic research as it focusses on medical practices, rather than hospitals, and includes multiple clinic types, medical specialties and physician types in the analysis. The study demonstrates how analytics and patient perceptions of quality can inform policy decisions.

In the decade since Tillery, Rutledge and Inman reviewed the treatment of quality management in leading US production and operations management (P/OM) textbooks, attention to quality, once the watchword and driving force in world business, has faded in both the practitioner and popular press. The ultimate purpose of the present research was to establish the progress, current status, and relevancy of the treatment of quality in current US P/OM textbooks, which remain the principal source of quality information in the undergraduate P/OM core course, preparing most future US managers as well as many international managers of tomorrow. Results of the present study indicate that over the last decade US P/OM textbooks have begun to reflect a more proactive and less reactive approach to quality management. However, results also indicate that current US P/OM textbooks lack relevancy of their quality content to practitioner needs, treat TQM and other holistic approaches to quality management superficially, and have little consistency concerning quality emphases.

Pressure from competition; inflexible third-party reimbursements; greater demand from government, regulatory and certifying agencies; discerning patients; and the quest of healthcare entities for greater profitably place demands and high expectations for service quality impacting overall patient experience. Extending a prior multivariate, single-period model of varied medical practices predicting patient experience to a three-year time period to understand whether there was a change in overall assessment using data analytics. The paper aims to discuss these issues.

SEM was employed on a per year and aggregated, three-year basis to gain insights into qualitative psychometric constructs predicting overall patient experience and strength of the relationships.

Statistically significant differences were uncovered between years indicating the strength of the relationships of latent variables on overall performance.

Study focused on data gathered from a questionnaire mailed to patients who visited various outpatient medical clinics in a rural community with over 4,000 responses during the three-year study period. A higher percentage of female respondents over the age of 45 may limit the generalizability of the findings.

Practitioners can gain a broader understanding of different factors influencing overall patient experience. Administrative processes associated with the primary care provider are inconsequential. Patients are not as concerned with patient flow as they are with patient safety and health.

This research informs healthcare quality management of psychometrics and analytics to improve the overall patient experience in outpatient medical clinics.

The purpose of this study is to adopt a functional perspective to integrate and extend three streams of research, the first distinguishing between global affect and discrete emotional episodes, the second highlighting the capability of places to elicit emotions and the third demonstrating the differential impact of discrete emotions on consumer response. Doing so shows that four positive place emotions have a significant and variable influence on consumer purchase intentions for brands originating there.

A focus group pilot corroborates that places relate to contentment, enchantment, happiness and pride, which impact consumer response. Study 1 uses landscape photographs to show the four place emotions influence purchase intention for bottled water. Study 2 retests the impact of place emotions, using short vignettes and establishes the moderating role of product hedonic nature. Study 3 replicates emotion effects, corroborating their non-conscious nature and establishing their impact in the presence of place cognitions.

Together, the empirical studies provide evidence for effects of four discrete place emotions, especially with hedonic products and under conditions of cognitive load. Effects are robust when a person’s mood, buying volume, category knowledge, impulse buying tendencies and place cognitions are included as controls.

The study contributes to a better understanding of the emotional dimension of origin effects by adopting a novel, theory-based perspective on discrete positive place emotions impacting consumer response.

Managers invest substantially in places to elicit positive feelings, gravitating toward the view that all they need to do is create a global positive effect with consumers. The study informs this perspective by demonstrating how discrete emotions influence consumer response.

This study is among the first to examine discrete positive place emotions as possible drivers of consumers’ purchase intention.

This paper aims to examine the effect of a food-inspired multimedia intervention on children’s fruits and vegetables (F&V) consumption in a real-life setting during lunch.

Children in an elementary school in Bologna (Italy) in third, fourth and fifth grade, aged between 9 and 12 years old, were examined (N = 171). Two different types of messages (generic and specific) were used to test message-tailoring in two separate intervention groups and one control group. The two intervention groups (classes) were presented with multimedia messages during an English lesson before lunchtime, and their eating behavior during lunch at school was observed. All children were served the first and second course, vegetables and fruit during lunchtime. Data was analyzed with R 3.4.2. Mann–Whitney U, Kruskal–Wallis and ANOVA tests were used to test for group differences, ordered logistic regression for modelling fruit and vegetable consumption.

The results show that children receiving a specific message targeting F&V consumed more fruit than the other two study groups. No effect on vegetable consumption was observed. Results from an ordered logit model support the notion that the multimedia message impacted fruit intake in the specific message group when taking other variables into account, such as F&V consumption and availability at home and children’s attitude toward F&V.

While many studies have considered a group of intervention for understanding the effect of multimedia, this study is focused only on the effect of a message (generic or specific). Moreover, participants, children, were not informed that they were participating in a study on fruit and vegetables consumption, and thus were following their daily routine.

This paper aims to explore the power of appeals based on fear mixed with challenge co-designed with vulnerable consumers in motivating the use of credence services.

A qualitative phase (Study 1), comprising focus groups of self-identified at-risk gamblers, revealed a series of conceptual themes for advertising stimuli that were then tested empirically (Study 2) on the likelihood to use credence services in a gambling context. Individual characteristics such as tolerance of ambiguity were also tested for their potential moderating influence.

In comparison to appeals based on single emotions, fear mixed with the challenge has a significantly stronger impact on intentions to use credence services in at-risk gamblers. Findings confirm the indirect positive impact of fear mixed with the challenge via sequential mediators of involvement with advertising and attitude towards credence service advertising. The moderating role of tolerance of ambiguity on credence service use intentions was confirmed.

The potential of a fear mixed with challenge appeal to motivate vulnerable consumers to seek credence services has not been investigated to date. The findings contribute to both the transformative service research and advertising literature streams by providing valuable insights into promotional campaigns aimed at vulnerable consumers such as at-risk gamblers.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

The purpose of this exploratory study is to identify the antecedents of brand hate in respect to luxury brand gamification marketing activities.

Five gamified product placements characterized by the ad hoc design of luxury co-branded virtual and/or physical products were selected for the research study. Content analysis was used to identify patterns and classify negative comments shared online into categories.

A content analysis of the negative comments (n. 2,321) related to the perception toward gamification of luxury fashion in videogames revealed the following seven domains: monetization of the game; promotion of inappropriate behavior; unethical placement; games commodified by brands; predatory monetization; perceived incongruence; poor product performance.

The exploratory research study revealed how the perception of gamification activities trigger negative emotions toward luxury fashion brands. It was significant that many of these emotions fall within the antecedents of brand hate.

Luxury companies and game developers need to be aware and manage the antecedents of brand hate in respect to luxury brand gamification activities in videogames. Moreover, luxury brands need to consider customers’ influencing behavior via online word-of-mouth and the potential to impact attitudes and behaviors of other consumers toward brands.

The ethics of gamification within a marketing context have largely escaped inquiry. The study provides evidence that luxury brands need to align the fundamentals of luxury brand management in the digital world of gaming.