Measures Of Satisfaction Research Articles

A description of the development of an innovative multi-component long COVID treatment program based on central sensitization with preliminary patient satisfaction data

ObjectiveEstimates of the prevalence of Long COVID in the United States or worldwide are imprecise, but millions of people are thought to be affected. No effective treatment exists for the often devastating symptoms of Long COVID. Central Sensitization has been postulated as a causal/explanatory mechanism for developing Long COVID. No treatment to date has targeted Central Sensitization. The present cross-sectional study describes the first 140 patients treated in a multi-component treatment program that targets Central Sensitization to reduce symptom burden, improve functioning, and lower the psychological distress observed in these patients. Methods140 patients diagnosed with Long COVID after an extensive medical evaluation were assessed for function, depression, and pain catastrophizing using questionnaires and patient satisfaction measures after completion of a 16-h Cognitive Behavioral Therapy treatment program focused on Central Sensitization. ResultsUpon admission, patients diagnosed with Long COVID were significantly impaired in their ability to function due to their symptoms. Further, 70% of the patients were depressed. Pain catastrophizing was observed in up to 20% of patients. ConclusionPatient satisfaction measures were high for the sample at the end of the treatment program suggesting that a multicomponent treatment program targeting Central Sensitization is acceptable to patients. Further research is needed to explore the effectiveness and durability of this treatment approach.

Use of Resources in Physical Education

The purpose was to develop an innovation in Physical Education (PE) through a quantitative approach that compared the use of text-based and media-based resources concerning academic performance, usability and satisfaction with the didactic unit, the methodology and the performance of the teacher. Following an experimental design, this research assigned upper-level high school participants (N=28) to text-based and media-based conditions. Measures of academic performance, usability and satisfaction were collected before and after the unit selected according to the correlational format. No significant differences were found regarding satisfaction (p = .65; p = .68) between conditions. Slightly significant differences were found regarding academic performance in both conditions (t = 91, p < .01; t = 105, p < .01). To add, media-based condition showed significant relationships related to teaching work satisfaction (rho = 0.67, p = .01) and usability (rho = 0.56, p = .04). The research concluded the no difference in satisfaction using media resources, but a slight increase in academic performance, an easy perception of media resources besides its high usability and a positive teaching work assessment due to the involvement of the figure.

Longitudinal Assessment of Communication With Patient-Reported Outcomes During Lung Cancer Screening

BackgroundMany organizations recommend clinicians use structured communication processes, referred to as “shared decision making,” to improve patient-reported outcomes for patients considering lung cancer screening (LCS). Research QuestionWhich components of high-quality patient-centered communication are associated with decision regret and distress? Study Design and MethodsWe conducted a prospective, longitudinal, repeated measures, cohort study among patients undergoing lung cancer screening in three different healthcare systems. We surveyed participants using validated measures of decision regret, decision satisfaction, distress, and patient-clinician communication domains up to a year after the low-dose computed tomography (LDCT) for LCS. For longitudinal analyses, we applied a series of generalized estimating equations to measure the association of the “patient as person” communication domain, screening knowledge, and decision concordance with decision regret and distress. ResultsWhen assessed 2-4 weeks after the LDCT, 202 (58.9%) and 8 (2.3%) of 343 total respondents reported mild and moderate/severe decision regret, respectively, while 29 (9.2%) participants of 315 total reported mild distress and 19 (6.0%) moderate or greater distress. The mean ± SD decision satisfaction scores (0 to 10 scale) were 9.82 ± 0.89, 9.08 ± 1.54, and 6.13 ± 3.40 among those with no, mild, and moderate/severe regret respectively. Distress scores remained low after the LDCT, even among those with nodules. Patient-centered communication domains were not associated with decision regret or distress. InterpretationPatients undergoing LCS rarely experience moderate or greater decision regret and distress. Although many participants reported mild decision regret, most were very satisfied over the year after their LDCT for LCS. Communication processes were not associated with regret and distress, suggesting that it may be challenging for communication interventions to reduce the harms of LCS.

The mediating role of self-esteem in the relationship between hope and life satisfaction among university students during a global health crisis.

The worldwide health emergency sparked by the COVID-19 pandemic has deeply shaken educational environments, posing unprecedented challenges to university students' well-being. While individual links between self-esteem, hope, and well-being are established, their combined impacts during crises remain underexplored. Our study addresses this gap by investigating the interplay among hope, self-esteem, and life satisfaction within the context of university students navigating the challenges posed by the pandemic. Conducting an online cross-sectional self-administered survey during Hong Kong's third pandemic wave, we measured hope, self-esteem, and life satisfaction using validated scales. Three hundred and fifteen university students (211 females; mean age = 22.08; SD = 2.74) participated. Through multiple regression and mediation analyses, our findings indicate that university students with elevated hope and self-esteem scored higher on life satisfaction measures. Specifically, our analysis revealed that self-esteem may serve as a partial mediator in the relationship between hope and life satisfaction, highlighting how heightened hope indirectly enhances life satisfaction by strengthening self-esteem. This study reveals intricate relationships among hope, self-esteem, and life satisfaction in university students, particularly during external adversities like the COVID-19 pandemic. The implications extend to mental health interventions, emphasizing the potential benefits of cultivating hope and self-esteem to enhance life satisfaction among university students confronting formidable challenges.

Predictors of patient satisfaction in the surgical treatment of cervical spondylotic myelopathy.

Patients with cervical spondylotic myelopathy (CSM) experience progressive neurological impairment. Surgical intervention is often pursued to halt neurological symptom progression and allow for recovery of function. In this paper, the authors explore predictors of patient satisfaction following surgical intervention for CSM. This is a retrospective review of prospectively collected data from the multicenter Quality Outcomes Database. Patients who underwent surgical intervention for CSM with a minimum follow-up of 2 years were included. Patient-reported satisfaction was defined as a North American Spine Society (NASS) satisfaction score of 1 or 2. Patient demographics, surgical parameters, and outcomes were assessed as related to patient satisfaction. Patient quality of life scores were measured at baseline and 24-month time points. Univariate regression analyses were performed using the chi-square test or Student t-test to assess patient satisfaction measures. Multivariate logistic regression analysis was conducted to assess for factors predictive of postoperative satisfaction at 24 months. A total of 1140 patients at 14 institutions with CSM who underwent surgical intervention were included, and 944 completed a patient satisfaction survey at 24 months postoperatively. The baseline modified Japanese Orthopaedic Association (mJOA) score was 12.0 ± 2.8. A total of 793 (84.0%) patients reported satisfaction (NASS score 1 or 2) after 2 years. Male and female patients reported similar satisfaction rates (female sex: 47.0% not satisfied vs 48.5% satisfied, p = 0.73). Black race was associated with less satisfaction (26.5% not satisfied vs 13.2% satisfied, p < 0.01). Baseline psychiatric comorbidities, obesity, and length of stay did not correlate with 24-month satisfaction. Crossing the cervicothoracic junction did not affect satisfactory scores (p = 0.19), and minimally invasive approaches were not associated with increased patient satisfaction (p = 0.14). Lower baseline numeric rating scale neck pain scores (5.03 vs 5.61, p = 0.04) and higher baseline mJOA scores (12.28 vs 11.66, p = 0.01) were associated with higher satisfaction rates. Surgical treatment of CSM results in a high rate of patient satisfaction (84.0%) at the 2-year follow-up. Patients with milder myelopathy report higher satisfaction rates, suggesting that intervention earlier in the disease process may result in greater long-term satisfaction.

Great expectations: A multisite, randomized controlled open-label trial of a novel patient expectations communication tool.

In emergency medicine (EM), discerning patient expectations to inform patient-centered care poses unique challenges. We devised a novel questionnaire to facilitate clinicians' understanding of patients' expectations for their visit. We conducted a multisite, randomized controlled trial. A brief questionnaire soliciting patient expectations was developed through feedback from clinicians and patients. At the beginning of their visit, the intervention group patients completed the questionnaire and provided it to their treating clinician. The control group patients received standard care. Participants in both groups completed a survey at time of disposition assessing five satisfaction domains. The primary ordinal logistic regression analysis modeled the extent to which the intervention led to patient-reported improvement in clinician understanding of expectations with adjustment for demographic factors and site. Among the 308 participants, 141 intervention and 123 control exit surveys were collected. In the primary analysis, the intervention group had 2.1 times greater odds of strongly agreeing that their clinician understood their expectations (odds ratio: 2.1, 95% confidence interval: 1.2, 3.7, p-value: 0.01), roughly equivalent to a net number needed to treat of 11 for one more improved satisfaction rating. Although the secondary outcome results were not significantly different between groups, all results tended toward the intervention group having more favorable answers. While more patients reported that their expectations were addressed when the novel tool was used, no significant difference was found for conventional satisfaction measures. Future studies may examine whether a tool to elicit patient expectations can lead to other improved outcomes.

Online instructor satisfaction measure: Psychometric properties of the Persian version in nursing-midwifery faculty members.

Faculty satisfaction with online teaching is essential for having effective online courses, and student success. Hence, a standard and suitable measure for the evaluation of satisfaction from online learning is required. This study was conducted to psychometrically evaluate the Persian version of the Online Instructor Satisfaction Measure (OISM) in nursing-midwifery faculty members. A cross-sectional methodology study was conducted among Iranian nursing-midwifery faculty members (n = 400) from April to May 2020. After forward-backward translation, the face and content validity were assessed. The construct validity of the questionnaire was evaluated through exploratory and confirmatory factor analyses and its convergent and discriminant validities were evaluated. The reliability of the questionnaire was also evaluated through Cronbach's alpha and McDonald's omega. Five factors (instructor-student interaction, student-student interaction, affordance, institutional support, and course design/development/teaching interaction) were identified in the exploratory factor analysis (χ 2 (241) = 379.43, P < .001, χ 2/df = 1.574, GFI = 0.888, CFI = 0.939, IFI =.940, TLI =.930, RMSEA (90% C.I.) =.049 [.039.,058]). The questionnaire had acceptable content and convergent validity. The questionnaire had acceptable reliability. The findings of the study supported the adequate reliability, factorial, and convergent validities of OISM in a sample of Iranian nursing-midwifery faculty members.

Enhancing Customer Satisfaction Analysis Using Advanced Machine Learning Techniques in Fintech Industry

Customer satisfaction (CSAT) is vital in service and marketing, indicating how well products or services meet customer expectations. Traditional CSAT methods like the American Customer Satisfaction Index (ACSI) and Net Promoter Score (NPS) face challenges such as survey fatigue and low response rates. This study introduces a novel framework using advanced machine learning (ML) and deep learning (DL) techniques, specifically Bidirectional Encoder Representations from Transformers (BERT), to classify customer feedback into distinct CSAT drivers. Integrating term frequency-inverse document frequency (TF-IDF) methods with BERT-based embeddings, the framework significantly improves prediction accuracy. Using a proprietary dataset of 5,943 customer feedback responses from 39 companies across 13 industries, the fine-tuned BERT model achieved an F1 score of 0.84, surpassing traditional methods like TF-IDF and support vector machine (SVM) with an F1 score of 0.47, and TF-IDF with multi-layer perceptron (MLP) networks at 0.50. A hybrid approach combining BERT and TF-IDF embeddings with MLP networks yielded an F1 score of 0.71. The results show the transformative potential of DL techniques, particularly fine-tuned BERT models, in enhancing CSAT prediction accuracy. This research bridges the gap between traditional and advanced text mining methods, setting a new standard for CSAT modeling and offering a robust framework for extracting actionable insights from customer feedback. It highlights the importance of adopting advanced ML and DL models for strategic decision-making and improving customer satisfaction measurement.

Psychometric Properties of the Persian Version of the Trait and State Cognitive Fusion Questionnaire in Various Mental Disorders

Background: The Cognitive Fusion Questionnaire (CFQ) has two versions (trait and state) that assess taking thoughts literally and thinking as likely to dominate behavior. Objectives: The current study modified original version of CFQ, which was translated previously in Iran and have used CFQ and modified version as known as the State Cognitive Fusion Questionnaire (SCFQ) for psychometrically evaluated these measures. Methods: A sample of individuals with mental disorders (N = 196) completed the CFQ, SCFQ, and other measures of interest. Results: One-factor models emerged for each measure, and each demonstrated good internal consistency. The CFQ versions were associated with psychopathology, experiential avoidance, and life satisfaction measures. Conclusions: These findings provide initial support for using these measures in research and clinical contexts to further our understanding of cognitive fusion in the Iranian mental disorder population.

A Peer-Supported School Engagement Intervention for Youth with Attention Problems: Development and Implementation

Youth with attention problems are at increased risk for school disengagement (Booster et al., JAD 16:179–189, 2012; DuPaul & Langberg, in: Barkley (ed), Attention-deficit/hyperactivity disorder: A handbook for diagnosis and treatment, Guilford, New York, 2014), which portends risk for poor outcomes (Bond et al., JAH 40:357.e9–357, 2007; Carter et al., JA 30:51–62, 2007; Fredricks et al., RER 74:59–109, 2004). Interventions that target school engagement may benefit from peer delivery because peers are widely available in schools and potentially more credible than adults. In this study, a peer-supported school-based school engagement intervention for middle school students with attention problems, Together Engaging and Achieving Meaningfully (TEAM) was developed with educators and students. In initial development (Study One), community development team meetings with partners (N = 9 school staff and students) were conducted. Thematic analysis was used to identify themes used to refine TEAM. In Study Two, a single-case pilot with one student with attention problems and one peer coach was conducted. Measures of fidelity, attendance, acceptability, and satisfaction were collected. Results were used to refine TEAM. Then in pilot implementation (Study Three), a non-randomized pilot was conducted with 10 fifth- through seventh-grade students with attention problems (n = 6 in the intervention group) and six eighth-grade coaches. Measures of fidelity, attendance, acceptability, satisfaction, and clinician-required time for implementation were collected. Cohen’s d mean difference effect sizes were calculated between and within groups over implementation. Feedback from partners highlighted barriers and aspects that were acceptable and feasible. Results from implementation suggested high attendance, high coach fidelity with revised implementation support, and low clinician-required time. Lessons learned and avenues for future development and research are discussed.

Analysis of Service Satisfaction Level at Batam Center International Port in Batam City Using the Fuzzy Mamdani Method

A port is defined as a facility and system where a port is a work environment consisting of a land and water area equipped with berthing and mooring facilities for ships, a place for loading and unloading, and boarding and disembarking passengers from one mode of sea transportation to another mode of transportation. In carrying out activities at the port, apart from providing sufficient facilities and equipment, quality services cannot be neglected. This research aims to analyze and determine how much influence the level of service provided has on the satisfaction response of ship passengers at the Batam Center International Port, Batam City. To carry out this research, the study used a literature review, observation, and distribution of questionnaires using a Likert scale and the Fuzzy Mamdani method. However, several challenges were encountered during the study. First, there was a difficulty in obtaining a representative sample of passengers due to the variability in passenger traffic and schedules. Second, the subjective nature of satisfaction measurement posed challenges in ensuring the accuracy and consistency of responses. Third, integrating the qualitative data from the Likert scale with the quantitative Fuzzy Mamdani method required careful handling to avoid misinterpretation The expected results from this research are the levels of satisfaction ship passengers feel regarding the dimensions of tangibles, reliability, responsiveness, assurance, and empathy. This will help determine whether passengers perceive themselves as satisfied or dissatisfied. Based on the analysis and discussion carried out with 50 respondents using the Likert scale method, the respondents stated that they were quite satisfied. This indicates that the Batam Center International Port, Batam City, is quite successful in providing satisfactory services to passengers. From the dimensions of reliability, responsiveness, assurance, empathy, and tangibles, overall consumers feel quite satisfied, with an average satisfaction percentage of 71% (35.5 out of 50 respondents). Similarly, the results obtained from the Fuzzy Logic Mamdani method show an output value for consumer satisfaction of 150 (within a range of 50–250), indicating that the level of consumer satisfaction with the services provided by the Batam Center International Port, Batam City, is quite satisfactory

The role of gained trust: effects on intrinsic motivation, person-job fit and turnover intentions among real estate brokers

PurposeThe purpose of this paper is to analyze if gained trust is intrinsically motivating and whether it is correlated to subjective person-job fit and occupational turnover intentions among Swedish real estate brokers.Design/methodology/approachThe empirical data was gathered via a survey targeting all real estate brokers in Sweden and analyzed using structural equation modeling.FindingsThe results indicated that brokers are motivated by gained trust from their sellers and that gained trust is a vital part of person-job fit among brokers. In addition, the results show that higher levels of person-job fit reduce the occupational turnover intentions among brokers.Research limitations/implicationsBeing a real estate broker in Sweden might differ from being a broker in many other otherwise comparable countries. Another limitation is the lack of measurements of job satisfaction and/or intrinsic motivation connected to other job characteristics besides customer relations and gained trust. The high mean values of person-job fit, and intrinsic motivation connected to gained trust from customers are contributing to a more nuanced description of brokerage.Practical implicationsThis study gives insights about intrinsic motivation and its connection to person-job fit. Awareness of what drives brokes can be used by both workers and managers to reduce occupational turnover.Originality/valueThis study is interesting from a person-job fit theory advancement perspective since the focus is given to the connection between specific situational work characteristics and person-job fit.

The gaslighting relationship exposure inventory: Reliability and validity in two cultures

Gaslighting, a form of psychological abuse, has received increasing attention in recent years. The current research provides reliability and validity evidence for a new 11-item measure of exposure to gaslighting by a romantic partner: The Gaslighting Relationship Exposure Inventory (GREI). Two studies were conducted with Israeli ( N = 509) and American ( N = 395) community samples. Participants were involved in a romantic relationship and completed an online questionnaire that included measures of intimate partner violence (IPV) victimization, depression, and relationship satisfaction. In both studies, the GREI items loaded onto a single factor of relationship gaslighting exposure. The scale demonstrated metric gender invariance and was reliable in both men and women. Relationship gaslighting exposure was strongly linked with psychological abuse victimization and weakly linked with other forms of IPV victimization, thus showing strong convergent and discriminant validity. Moreover, relationship gaslighting exposure was associated with greater depression and lower relationship quality, above and beyond other forms of IPV victimization. The results support the reliability and validity of the GREI in both men and women, as well as its utility for the study of gaslighting exposure within relationships. The current research highlights that gaslighting is a distinct form of psychological abuse with unique implications for personal and relational well-being.

Father-to-infant attachment and its associated factors during COVID-19 pandemic: a cross-sectional study

ABSTRACT Background The attachment between father and infant is essential to a child’s later development and well-being; yet, hardly any research has examined father-to-infant attachment during the outbreak of COVID-19. This study, therefore, aims to examine psychological, interpersonal, and health-related factors associated with father-to-infant attachment at 3–12 months postpartum during the pandemic. Method An online cross-sectional study was conducted between June and December 2021. A total of 775 fathers with at least one child aged 3–12 months were recruited. Participants completed measures of depression, COVID-19-related distress, relationship satisfaction, social support and other health-related factors including COVID-19 diagnosis and hospitalisation. Data on psycho-socio-demographic, obstetric, and COVID-19-related characteristics were also collected. Results Findings demonstrated that paternal depression (β = -.33, p < .001); relationship satisfaction (β = .19, p < .001); COVID-19-related psychological distress (β = -.14, p < .001) and social support (β = .13, p < .001) had a significant effect on father-to-infant attachment. Fathers who were multiparous, had COVID-19 diagnosis, and hospitalised due to COVID-19 were more likely to report poorer father-to-infant attachment. Paternal depression was the most influential factor on father-to-infant attachment, which attenuated the strength of the relationships between marital status, prematurity, history of trauma, sleep quality, and father-to-infant attachment once included into the analyses. No significant associations between educational level, employment, socioeconomic status, delivery mode, and father-to-infant attachment were observed. Conclusion These findings highlight the critical role of paternal psychological well-being in establishing healthy father-to-infant attachment and the relevance of having satisfied interpersonal relationships in promoting this early relationship particularly during crises such as COVID-19 pandemic.

Assessing Autonomy, Competence, and Relatedness Briefly

Abstract: The satisfaction of the psychological needs for autonomy, competence, and relatedness have been established as central components of human well-being, predictive of various positive behavioral and psychological outcomes. However, in many contexts, they need to be assessed very briefly, sometimes with just one item. Recent research has shown that well-designed single-item scales of relatively unidimensional constructs can perform surprisingly well. Accordingly, this project aimed to create and validate single-item scales for the three needs. In Study 1 ( n = 353, UK), we generated new items based on careful examination of the construct definitions and tested them alongside established multi-item need satisfaction scales. In Study 2 ( n = 335, US), we replicated these results using a shorter time span (need satisfaction yesterday). Study 3 ( n = 327, UK) compared the performance to a few other brief need satisfaction scales. In all studies, the new single items loaded excellently on respective longer scales and correlated with criterion variables at near identical levels as the longer scales. Given that the performance of the single-item scales was comparable to the established multi-item scales, they are recommended as valid and useful measures of need satisfaction for research context requiring very brief measures.

Computerized Cognitive Training in the Older Workforce: Effects on Cognition, Life Satisfaction, and Productivity

Background: The accelerated aging of the world’s population will lead to an increase in the number of older people in the workforce. Computerized Cognitive Training (CCT) is effective in improving cognitive outcomes, but its benefits for older workers remain controversial. We investigate the real-world efficacy of CCT in the workplace, focusing on employees aged 50+ years from a public sector agency. Methods: Case managers (n = 82) were randomized to either an intervention group (24 40 min CCT sessions two times per week) or a waiting list passive control group. Cognitive ability, well-being, job satisfaction, and productivity outcome measures were collected and assessed before and after CCT or the comparable control wait time. Results: Participants undergoing CCT improved on a task of executive functioning (p = 0.04). There was a trend toward a change in work productivity after CCT (p = 0.09), with the control group showing a significant decrease (p = 0.02), while the intervention group remained stable. Conclusions: CCT during office hours has a positive effect on cognition and well-being without affecting productivity among white-collar office workers. CCT could be considered as an intervention to support the older workforce in managing the cognitive and behavioral challenges of changing workplace demands.

Comparing Institutional, Teaching, and Student Factors in Relation to Psychology Student Satisfaction

Background Satisfaction of psychology students has implications for students’ engagement, learning, and persisting with education. Understanding of influences on satisfaction remains incomplete. Objective To investigate contributors to psychology students’ satisfaction, we assessed multivariate associations of satisfaction with institutional, teaching, and student factors. Method In two cross-sectional studies at the same university, first year psychology undergraduates ( N = 138 in 2019; N = 142 in 2023) completed online measures of student satisfaction, institutional factors (i.e., reputation, image, and learning environment), teaching factors (i.e., teaching quality, program structure, and assessment and feedback), student factors (i.e., self-efficacy, self-regulation, and motivation), and demographics. Results All proposed factors correlated with satisfaction. In hierarchical regression, student (self-efficacy) and institutional factors (academic reputation) explained more variance in satisfaction than did teaching factors. A second institutional factor, learning environment, associated independently with satisfaction in 2023 but not 2019 data. Conclusion Student self-efficacy and institutional reputation were the strongest predictors of psychology student satisfaction within this project. Replication at other institutions is needed, and longitudinal and experimental designs would also benefit future research. Teaching Implications Supporting psychology students to enhance self-efficacy and understand their institution's contributions to psychology might assist students’ satisfaction and thereby potentially aid learning and engagement.

Adolescents’ School-Based Universal Well-Being Screening: A Validation of the Student Subjective Wellbeing Questionnaire in Portugal

AbstractSchool-based universal well-being screening is proposed within the Multi-tiered Systems of Support approach to collect data on school and individual well-being. Universal screening allows for data-based informed decision, allocating each pupil or set of pupils in universal, selective and/or indicated structured interventions and supports. However, schools require adequate and validated measures of both positive well-being and indicators of psychological health problems. This study focused on the adaptation and validation of the Student Subjective Wellbeing Questionnaire (SSWQ) in Portugal, a tool directed to positive well-being screening. After a translation process, data was collected in 10 schools. A sample of 942 school pupils in the 3rd cycle was randomly split into two subsamples. First was conducted on one subsample, and then, CFA was conducted in the other. Gender and school year invariance were also conducted with the CFA subsample. Internal consistency was likewise analysed. The analysis finished with convergent and discriminant validity. Overall, results supported a second-order factor model (subjective well-being), including four first-order factors, with the elimination of one item and changing one item to another subscale. Results showed good reliability of each factor (all above 0.70). Full measurement invariance was reached for gender (male and female) and school year (7th, 8th and 9th grades). Convergent validity was found with measures of satisfaction with school, group identification with peers and school social support, and divergent validity was found with BPM-Y. Altogether, results support that SSWQ-PG can be used to screen for subjective well-being in schools, helping schools in identifying and addressing pupils’ mental health needs more effectively.

An integrated academic library supply chain (IALSC) model

Purpose This exploratory study illustrated an integrated academic library supply chain (IALSC) model to design the strategic planning management tool of the academic library. The supply chain (SC) model has been widely used in manufacturing industries and has also been applied in many service industries with the same objectives. However, very few studies for academic libraries, particularly the implementation of the integrated SC model, are being executed, although it has been proven that SC management in practice can enhance stakeholder satisfaction, increase revenues and decrease total costs. The academic library also needs to be successful in providing quality products, services and information to fulfil the library users’ needs within the library budget. This research aims to develop a verified model of the integrated SC for the academic library. Design/methodology/approach This research used both qualitative and quantitative approaches to achieve its objectives. The proposed conceptual SC model, named as IALSC, for the academic library has been developed using the system thinking method; eventually, it has been validated through the fuzzy Delphi method, an expert judgement technique. Findings The research findings could contribute to academic library management in planning and formulating a roadmap for the library to increase its quality services for all stakeholders. Originality/value The conceptual model would have a high potential to be proposed as the strategic decision-making tool for an academic library, i.e. the flow of funds through the operations of the library, the library stakeholders’ satisfaction measurement, the decision process currently made by the library management team on the purchase of new library resources, the library resource suppliers, etc.

Corporate digital transformation and rank and file employee satisfaction

PurposeThis paper examines the impact of corporate digital transformation on employee satisfaction. Therefore, this study extends our understanding of the economic consequences of corporate digital transformation from employees’ perspectives.Design/methodology/approachThe data used to construct our main proxy of employee satisfaction are collected from Kanzhun.com, which provides reviews by rank-and-file employees on their employers. This study uses a large sample of Chinese firms and adopts various empirical methods to examine the impact of digital transformation on employee satisfaction.FindingsWe find a significant positive relationship between corporate digital transformation and employee satisfaction. Moreover, we document that the relationship between corporate digital transformation and employee satisfaction is more pronounced in firms with higher labor intensity and in state-owned enterprises (SOE).Research limitations/implicationsOne significant limitation is that corporate digital transformation is constructed based on word frequency analysis. This approach may be influenced by variations in corporate disclosure practices and might not accurately capture the true extent of corporate digital transformation. This limitation is not only present in our research but is also pervasive in many other studies that utilize similar methodologies. Therefore, our results should be interpreted with this caveat in mind.Practical implicationsOur study suggests that corporate digital transformation enhances employee satisfaction, providing direct evidence for managers and regulators to promote corporate digital transformation. Through digital transformation, companies can not only improve operational efficiency but also foster employee satisfaction. This dual benefit underscores the importance of investing in corporate digital transformation for long-term success.Social implicationsOur study suggests that corporate digital transformation enhances employee satisfaction, providing direct evidence for managers and regulators to promote corporate digital transformation. Through digital transformation, companies can not only improve operational efficiency but also foster employee satisfaction. This dual benefit underscores the importance of investing in corporate digital transformation for long-term success.Originality/valueOur study contributes to the literature on the economic consequences of corporate digital transformation and extends existing research on the determinants of employee satisfaction. Additionally, it provides a novel measurement of employee satisfaction for a large sample of Chinese firms.