Displaying publications 1 - 20 of 83 in total

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  1. Chou CC, Chronister J, Chou CH, Tan S, Macewicz T
    AIDS Care, 2013;25(12):1551-8.
    PMID: 23713718 DOI: 10.1080/09540121.2013.793267
    This study explored responsibility attribution (RA) of HIV/AIDS infection (i.e., how an individual perceives the cause of their HIV/AIDS infection) and its relationship to coping styles among injection drug users (IDUs) with HIV/AIDS. In addition, this study investigated whether self-esteem, social support, and religiosity mediate the relationship between RA and coping styles of IDUs with HIV/AIDS. Participants were 201 adult IDUs with HIV/AIDS participating in the National Drug Rehabilitation Center in Malaysia. Five measures were used to assess the above constructs. Cluster analysis, analysis of variance, and mediation analyses were conducted. Results of this study indicated that IDUs with HIV/AIDS in Malaysia can be classified into four homogenous attribution groups: external, fatalistic, internal, and indeterminate. Mediator analyses revealed that combination of self-esteem, social support, and religiosity mediate the relationship between RA and coping behaviors. Clinicians working with IDUs with HIV/AIDS need to address the role of RA, self-esteem, religiosity, and social support as these psychosocial constructs are linked to coping with HIV/AIDS. Future researchers should investigate whether enhancing self-esteem, social support, and religiosity can promote active problem-solving coping and reduce the use of avoidance coping behaviors.
    Matched MeSH terms: Problem Solving
  2. Rahima Dahlan, Siti Nor Aizah Ahmad
    MyJurnal
    Objective: This case report highlights on the challenges in the management of people with bipolar disorder. Method: We report a case of 36 year-old lady living with this disorder and her journey in a search for a meaningful life. Result: Adherence to treatment is a major determinant of outcome in bipolar patient like Ms WMY. Poor insight, negative attitudes towards treatment and poor understanding of medications and the illness can all lead to reduced adherence. Conclusion: This case demonstrates on how poverty of insight, poor social support, on-going stressors with significant life events and poor compliance to treatment create a series of stumbling blocks in recovery from bipolar disorder.
    Matched MeSH terms: Problem Solving
  3. Chandran DS, Muthukrishnan SP, Barman SM, Peltonen LM, Ghosh S, Sharma R, et al.
    Adv Physiol Educ, 2020 Dec 01;44(4):709-721.
    PMID: 33125254 DOI: 10.1152/advan.00128.2020
    Active learning promotes the capacity of problem solving and decision making among learners. Teachers who apply instructional processes toward active participation of learners help their students develop higher order thinking skills. Due to the recent paradigm shift toward adopting competency-based curricula in the education of healthcare professionals in India, there is an emergent need for physiology instructors to be trained in active-learning methodologies and to acquire abilities to promote these curriculum changes. To address these issues, a series of International Union of Physiological Sciences (IUPS) workshops on physiology education techniques in four apex centers in India was organized in November 2018 and November 2019. The "hands-on" workshops presented the methodologies of case-based learning, problem-based learning, and flipped classroom; the participants were teachers of basic sciences and human and veterinary medicine. The workshop series facilitated capacity building and creation of a national network of physiology instructors interested in promoting active-learning techniques. The workshops were followed by a brainstorming meeting held to assess the outcomes. The aim of this report is to provide a model for implementing a coordinated series of workshops to support national curriculum change and to identify the organizational elements essential for conducting an effective Physiology Education workshop. The essential elements include a highly motivated core organizing team, constant dialogue between core organizing and local organizing committees, a sufficient time frame for planning and execution of the event, and opportunities to engage students at host institutions in workshop activities.
    Matched MeSH terms: Problem Solving
  4. Seif AA, Eldamanhoury HM, Darahim K, Boulos DNK, Bahaa N, A M C, et al.
    Adv Physiol Educ, 2021 Mar 01;45(1):109-120.
    PMID: 33544038 DOI: 10.1152/advan.00166.2020
    The electrocardiogram (ECG) is the primary diagnostic tool in cardiovascular diseases. Hence its interpretation is a core competency in medicine, where obvious deficiencies have been reported among learners. The aim of this study was to introduce the fundamentals of ECG knowledge and interpretation through early clinical exposure (ECE) based on a six-step approach for preclinical students (n = 110) and to study its influence on their knowledge and interpretation skills thereafter. The first step employed a blended learning format using didactic lectures on normal and pathological ECGs, each preceded by preinstructional videos. The second step focused on psychomotor skills and utilized laboratory exercises for ECG recording and interpretation. The third step focused on vertical integration, where the clinical relevance of the procedure was established with integrated lectures. The fourth step used the Moodle platform, where opportunities for peer interactions and clarifications by clinical faculty were made available. The fifth step incorporated clinical and diagnostic reasoning through cardiology ward visits and interpretation of patient ECGs. The sixth step was designed for critical thinking and problem solving through case-based discussions with peers and faculty. Students were assessed with multiple-choice questions and objective structured practical examination. Learner perceptions of the approach were evaluated with a feedback questionnaire and focus group discussion. Statistical analysis showed that ECE through a six-step approach significantly enhanced knowledge and interpretation of ECG as evidenced by the pre- and posttest scores. Analysis of the focus group data revealed that learner engagement and skills of critical thinking were enhanced along with diagnostic and clinical reasoning.
    Matched MeSH terms: Problem Solving
  5. Lee SWH, Saw PS
    Am J Pharm Educ, 2021 Sep;85(8):8464.
    PMID: 34615624 DOI: 10.5688/ajpe8464
    Objective. To conduct an innovative workshop activity using plastic building blocks to create a student-centric environment that encouraged development of creative thinking skills and self-reflection in undergraduate pharmacy students.Methods. Students were randomly allocated into small groups of four and assigned the role of either architect or team builder and tasked with creating a LEGO robot. Students were not allowed to speak during the activity. The architect was tasked with providing instructions to team builders on how to build the robot using nonverbal communication. After completion of the task, each group was asked to reflect on the exercise and share what they learned with the entire class. These discussions were video recorded and thematically analyzed.Results. The metaphorical models that students built served as a basis for discussion, problem-solving, and decision-making. Students described how this activity enabled them to mentally and visually link abstract concepts, such as decision-making and problem-solving, to actual practice. Three themes were identified from the qualitative study: thinking with hands, listening with eyes; linking theory to practice; and learning through reflection.Conclusion. This activity offered a non-confrontational way to support communication and the learning process. The use of an interactive game can be a useful teaching strategy to create an active-learning environment, helping pharmacy students improve their social and cognitive skills, such as decision-making, problem-solving, and communication.
    Matched MeSH terms: Problem Solving
  6. Devadas VV, Khoo KS, Chia WY, Chew KW, Munawaroh HSH, Lam MK, et al.
    Bioresour Technol, 2021 Apr;325:124702.
    PMID: 33487515 DOI: 10.1016/j.biortech.2021.124702
    The accumulation of conventional petroleum-based polymers has increased exponentially over the years. Therefore, algae-based biopolymer has gained interest among researchers as one of the alternative approaches in achieving a sustainable circular economy around the world. The benefits of microalgae biopolymer over other feedstock is its autotrophic complex to reduce the greenhouse gases emission, rapid growing ability with flexibility in diverse environments and its ability to compost that gives greenhouse gas credits. In contrast, this review provides a comprehensive understanding of algae-based biopolymer in the evaluation of microalgae strains, bioplastic characterization and bioplastic blending technologies. The future prospects and challenges on the algae circular bioeconomy which includes the challenges faced in circular economy, issues regard to the scale-up and operating cost of microalgae cultivation and the life cycle assessment on algal-based biopolymer were highlighted. The aim of this review is to provide insights of algae-based biopolymer towards a sustainable circular bioeconomy.
    Matched MeSH terms: Problem Solving
  7. Chia SR, Chew KW, Show PL, Xia A, Ho SH, Lim JW
    Bioresour Technol, 2019 Oct;289:121727.
    PMID: 31279318 DOI: 10.1016/j.biortech.2019.121727
    In this present study, microalgal phycobiliproteins were isolated and purified via potential biphasic processing technique for pharmaceutical as well as food applications. The algal pre-treatment techniques were studied to enhance the yield of microalgal phycobiliproteins from the biomass. The proposed methods were optimised to obtain the best recovery yield of phycobiliproteins that can be isolated from the biomass. The phycobiliproteins were further purified using liquid biphasic system. The results showed that microalgal phycobiliproteins of high purity and yield was achieved using sonication treatment (20% power, 50% duty cycle and 7 min of irradiation time) with the biphasic system, where the purification fold of 6.17 and recovery yield of 94.89% was achieved. This work will provide insights towards the effective downstream processing of biomolecules from microalgae.
    Matched MeSH terms: Problem Solving
  8. Jamil DM, Al-Okbi AK, Al-Baghdadi SB, Al-Amiery AA, Kadhim A, Gaaz TS, et al.
    Chem Cent J, 2018 Feb 05;12(1):7.
    PMID: 29404816 DOI: 10.1186/s13065-018-0376-7
    BACKGROUND: Relatively inexpensive, stable Schiff bases, namely 3-((4-hydroxybenzylidene)amino)-2-methylquinazolin-4(3H)-one (BZ3) and 3-((4-(dimethylamino)benzylidene)amino)-2-methylquinazolin-4(3H)-one (BZ4), were employed as highly efficient inhibitors of mild steel corrosion by corrosive acid.

    FINDINGS: The inhibition efficiencies were estimated based on weight loss method. Moreover, scanning electron microscopy was used to investigate the inhibition mechanism. The synthesized Schiff bases were characterized by Fourier transform infrared spectroscopy, nuclear magnetic resonance spectroscopy and micro-elemental analysis. The inhibition efficiency depends on three factors: the amount of nitrogen in the inhibitor, the inhibitor concentration and the inhibitor molecular weight.

    CONCLUSIONS: Inhibition efficiencies of 96 and 92% were achieved with BZ4 and BZ3, respectively, at the maximum tested concentration. Density functional theory calculations of BZ3 and BZ4 were performed to compare the effects of hydroxyl and N,N-dimethylamino substituents on the inhibition efficiency, providing insight for designing new molecular structures that exhibit enhanced inhibition efficiencies.

    Matched MeSH terms: Problem Solving
  9. Sheikh Abdullah SN, Bohani FA, Nayef BH, Sahran S, Al Akash O, Iqbal Hussain R, et al.
    Comput Math Methods Med, 2016;2016:8603609.
    PMID: 27516807 DOI: 10.1155/2016/8603609
    Brain magnetic resonance imaging (MRI) classification into normal and abnormal is a critical and challenging task. Owing to that, several medical imaging classification techniques have been devised in which Learning Vector Quantization (LVQ) is amongst the potential. The main goal of this paper is to enhance the performance of LVQ technique in order to gain higher accuracy detection for brain tumor in MRIs. The classical way of selecting the winner code vector in LVQ is to measure the distance between the input vector and the codebook vectors using Euclidean distance function. In order to improve the winner selection technique, round off function is employed along with the Euclidean distance function. Moreover, in competitive learning classifiers, the fitting model is highly dependent on the class distribution. Therefore this paper proposed a multiresampling technique for which better class distribution can be achieved. This multiresampling is executed by using random selection via preclassification. The test data sample used are the brain tumor magnetic resonance images collected from Universiti Kebangsaan Malaysia Medical Center and UCI benchmark data sets. Comparative studies showed that the proposed methods with promising results are LVQ1, Multipass LVQ, Hierarchical LVQ, Multilayer Perceptron, and Radial Basis Function.
    Matched MeSH terms: Problem Solving
  10. Odili JB, Mohmad Kahar MN
    Comput Intell Neurosci, 2016;2016:1510256.
    PMID: 26880872 DOI: 10.1155/2016/1510256
    This paper proposes the African Buffalo Optimization (ABO) which is a new metaheuristic algorithm that is derived from careful observation of the African buffalos, a species of wild cows, in the African forests and savannahs. This animal displays uncommon intelligence, strategic organizational skills, and exceptional navigational ingenuity in its traversal of the African landscape in search for food. The African Buffalo Optimization builds a mathematical model from the behavior of this animal and uses the model to solve 33 benchmark symmetric Traveling Salesman's Problem and six difficult asymmetric instances from the TSPLIB. This study shows that buffalos are able to ensure excellent exploration and exploitation of the search space through regular communication, cooperation, and good memory of its previous personal exploits as well as tapping from the herd's collective exploits. The results obtained by using the ABO to solve these TSP cases were benchmarked against the results obtained by using other popular algorithms. The results obtained using the African Buffalo Optimization algorithm are very competitive.
    Matched MeSH terms: Problem Solving*
  11. Wang Y, Lim YY, He Z, Wong WT, Lai WF
    PMID: 33559482 DOI: 10.1080/10408398.2021.1882381
    The last decide has witnessed a growing research interest in the role of dietary phytochemicals in influencing the gut microbiota. On the other hand, recent evidence reveals that dietary phytochemicals exhibit properties of preventing and tackling symptoms of Alzheimer's disease, which is a neurodegenerative disease that has also been linked with the status of the gut microbiota over the last decade. Till now, little serious discussions, however, have been made to link recent understanding of Alzheimer's disease, dietary phytochemicals and the gut microbiota together and to review the roles played by phytochemicals in gut dysbiosis induced pathologies of Alzheimer's disease. Deciphering these connections can provide insights into the development and future use of dietary phytochemicals as anti-Alzheimer drug candidates. This review aims at presenting latest evidence in the modulating role of phytochemicals in the gut microbiota and its relevance to Alzheimer's disease and summarizing the mechanisms behind the modulative activities. Limitations of current research in this field and potential directions will also be discussed for future research on dietary phytochemicals as anti-Alzheimer agents.
    Matched MeSH terms: Problem Solving
  12. Ramamurthy S, Meng Er H, Nadarajah VD, Pook PCK
    Curr Pharm Teach Learn, 2016 03 21;8(3):364-374.
    PMID: 30070247 DOI: 10.1016/j.cptl.2016.02.017
    OBJECTIVES: To study the impact of open and closed book formative examinations on pharmacy students' learning approach and also to assess their performance and perception about open book (OB) and closed book (CB) systems of examination.

    METHODS: A crossover study was conducted among Year 1 and Year 2 pharmacy students. Students were invited to participate voluntarily for one OB and one CB online formative test in a chemistry module in each year. Evaluation of their learning approach and perception of the OB and CB systems of examination was conducted using Deep Information Processing (DIP) questionnaire and Student Perception questionnaire respectively. The mean performance scores of OB and CB examinations were compared.

    RESULTS: Analysis of DIP scores showed that there was no significant difference (p > 0.05) in the learning approach adopted for the two different examination systems. However, the mean score obtained in the OB examination was significantly higher (p < 0.01) than those obtained in the CB examination. Preference was given by a majority of students for the OB examination, possibly because it was associated with lower anxiety levels, less requirement of memorization, and more problem solving.

    CONCLUSION: There is no difference in deep learning approach of students, whether the format is of the OB or CB type examinations. However, the performance of students was significantly better in OB examination than CB. Hence, using OB examination along with CB examination will be useful for student learning and help them adapt to growing and changing knowledge in pharmacy education and practice.

    Matched MeSH terms: Problem Solving
  13. Mey LS, Khairudin R, Muda TEAT, Mokhtar DM, Kamaluddin MR
    Data Brief, 2020 Aug;31:105864.
    PMID: 32613044 DOI: 10.1016/j.dib.2020.105864
    Studies have consistently shown that childhood maltreatment is a significant risk factor for the development of drug addiction across human lifespan. Yet, little is known about the prevalence of childhood maltreatment history among drug addicts in Malaysia. The dataset presented in this article provides demographic information on 200 drug addicts recruited from two rehabilitation centres in Malaysia, the prevalence of different types of childhood maltreatment history and the correlation between all types of maltreatments. Analyses of the data can provide insights into the prevalence of maltreatment history and development of drug addiction, therefore indispensable for mental health professionals designing appropriate interventions for the drug addicts. The data can also provide baseline data for comparative studies in terms of childhood maltreatment history and drug addiction across different countries.
    Matched MeSH terms: Problem Solving
  14. Fahisham Taib, Nik Mohd Rizal Mohd Fakri
    MyJurnal
    Community and family case study (CFCS) is a community based educational (CBE) programme commenced in 1980 at School of Medical Sciences, Universiti Sains Malaysia. It serves to help and resolve health needs of the individual patients, family and their community. This will help to develop generic skills such as organization, communication and problem solving in relation to local norms, beliefs and socio-cultural influences. Students should have good awareness, sensitivity and empathic response based on health needs and environment that they are living in. Knowledge, skills, attitudes, emotions and values are repeatedly exposed to inculcate optimal learning environment with the community, as well as triggered response by the student to give back to the community by volunteerism. CFCS activism can be revitalized within the individual and group context. This can be achieved by multi-dimensional learning, collaborative effort, effective leadership and supervision, creative programme initiation, effectual research activities and sustainable service to the community. It is hopeful with active community engagement, life experiences learning process, self-directed and reflective learning, students are able to acquire refined attributes such as skills, behaviour, knowledge and attitudes, towards successful personal growth and advancement.
    Matched MeSH terms: Problem Solving
  15. Tay AK, Miah MAA, Khan S, Badrudduza M, Morgan K, Balasundaram S, et al.
    Epidemiol Psychiatr Sci, 2019 Aug 23;29:e47.
    PMID: 31441397 DOI: 10.1017/S2045796019000416
    AIMS: Refugees are confronted with the task of adapting to the long-term erosion of psychosocial systems and institutions that in stable societies support psychological well-being and mental health. We provide an overview of the theoretical principles and practical steps taken to develop a novel psychotherapeutic approach, Integrative Adapt Therapy (IAT), which aims to assist refugees to adapt to these changes. This paper offers the background informing ongoing trials of IAT amongst refugees from Myanmar.

    METHODS: A systematic process was followed in formulating the therapy and devising a treatment manual consistent with the principles of the Adaptation and Development After Persecution and Trauma (ADAPT) model. The process of development and refinement was based on qualitative research amongst 70 refugees (ten from West Papua and 60 Rohingya from Myanmar). The therapeutic process was then piloted by trained interventionists amongst a purposively selected sample of 20 Rohingya refugees in Malaysia.

    RESULTS: The final formulation of IAT represented an integration of the principles of the ADAPT model and evidence-based techniques of modern therapies in the field, including a transdiagnostic approach and the selective use of cognitive behavioural treatment elements such as problem-solving and emotional regulation techniques. The steps outlined in refining the manual are outlined in relation to work amongst West Papuan refugees, and the process of cultural and contextual modifications described during early piloting with Rohingya refugees in Malaysia.

    CONCLUSIONS: IAT integrates universal principles of the ADAPT model with the particularities of the culture, history of conflict and living context of each refugee community; this synthesis of knowledge forms the basis for participants gaining insights into their personal patterns of psychosocial adaptation to the refugee experience. Participants then apply evidence-based techniques to improve their capacity to adapt to the serial psychosocial changes they have encountered in their lives as refugees. The overarching goal of IAT is to provide refugees with a coherent framework that assists in making sense of their experiences and their emotional and interpersonal reactions to the challenges they confront within the family and community context. As such, the principles of a general model (ADAPT) are used as a springboard for making concrete, manageable and meaningful life changes at the individual level, a potentially novel approach for psychosocial interventions in the field.

    Matched MeSH terms: Problem Solving
  16. Abu Kasim NH, Abu Kassim NL, Razak AA, Abdullah H, Bindal P, Che' Abdul Aziz ZA, et al.
    Eur J Dent Educ, 2014 Feb;18(1):51-7.
    PMID: 24423176 DOI: 10.1111/eje.12058
    Training dentists today is challenging as they are expected to provide a wide range of dental care. In the provision of good dental care, soft skills are equally important as clinical skills. Therefore in dental education the development of soft skills are of prime concern. This study sought to identify the development of soft skills when dental students are paired in their clinical training. In this perception study, four open-ended items were used to elicit students' feedback on the appropriateness of using clinical pairing as an instructional strategy to promote soft skills. The most frequently cited soft skills were teamwork (70%) and communication (25%) skills. However, both negative and positive behaviours were reported. As for critical thinking and problem solving skills, more positive behaviours were reported for abilities such as to explain, analyze, find ideas and alternative solutions, and make decisions. Leadership among peers was not evident as leading without legitimate authority could be a hindrance to its development. If clinical pairing is to be used as an effective instructional strategy to promote soft skills amongst students, clear guidelines need to be developed to prepare students to work in a dental team and the use of appropriate assessment tools can facilitate the development of these soft skills.
    Matched MeSH terms: Problem Solving
  17. Gonzalez MA, Abu Kasim NH, Naimie Z
    Eur J Dent Educ, 2013 May;17(2):73-82.
    PMID: 23574183 DOI: 10.1111/eje.12017
    Soft skills and hard skills are essential in the practice of dentistry. While hard skills deal with technical proficiency, soft skills relate to a personal values and interpersonal skills that determine a person's ability to fit in a particular situation. These skills contribute to the success of organisations that deal face-to-face with clients. Effective soft skills benefit the dental practice. However, the teaching of soft skills remains a challenge to dental schools. This paper discusses the different soft skills, how they are taught and assessed and the issues that need to be addressed in their teaching and assessment. The use of the module by the Faculty of Dentistry, University of Malaya for development of soft skills for institutions of higher learning introduced by the Ministry of Higher Education, Malaysia.
    Matched MeSH terms: Problem Solving
  18. Abdullah AH, Neo TK, Low JH
    F1000Res, 2021;10:1076.
    PMID: 35035894 DOI: 10.12688/f1000research.73210.2
    Background: Studies have acknowledged that social media enables students to connect with and learn from experts from different ties available in the students' personal learning environment (PLE). Incorporating experts into formal learning activities such as scaffolding problem-solving tasks through social media, allows students to understand how experts solve real-world problems. However, studies that evaluate experts' problem-solving styles on social media in relation to the tie strength of the experts with the students are scarce in the extant literature. This study aimed to explore the problem-solving styles that the experts portrayed based on their ties with the students in problem-based learning (PBL) on Facebook. Methods: This study employed a simultaneous within-subject experimental design which was conducted in three closed Facebook groups with 12 final year management students, six business experts, and one instructor as the participants. The experts were invited by the students from the weak and strong ties in their PLE. Hinging on the Strength of Weak Ties Theory (Granovetter, 1973) and problem-solving styles (Selby et al., 2004), this study employed thematic analysis using the ATLAS.ti qualitative data analysis software to map the experts' comments on Facebook. Results:  The experts from strong and weak ties who had a prior relationship with the students showed people preference style by being more sensitive to the students' learning needs and demonstrating firmer scaffolding compared to the weak ties' experts who had no prior relationship with the students. Regardless of the types of ties, all experts applied all manner of processing information and orientation to change but the degree of its applications are correlated with the working experience of the experts. Conclusion: The use of weak or strong ties benefited the students as it expedited their problem-solving tasks since the experts have unique expertise to offer depending on the problem-solving styles that they exhibited.
    Matched MeSH terms: Problem Solving
  19. Al-Kumaim NH, Alhazmi AK, Ramayah T, Shabbir MS, Gazem NA
    Front Psychol, 2021;12:637808.
    PMID: 33643168 DOI: 10.3389/fpsyg.2021.637808
    Value Co-Creation (VCC) plays a major role in engaging knowledgeable individuals in a community via innovation, problem solving, and new service/product development. This study investigates the personal factors that influence individuals' engagement in value co-creation in Higher Education Institutions (HEIs) through the use of online platforms. Some higher education institutions have successfully established or used appropriate online platforms, such as online forums, web applications, and mobile applications to engage their community in ideation or crowdsourcing as a part of the value co-creation process. On the other hand, some HEIs have failed to engage their community in value co-creation activities, and even if they managed to engage some individuals in value co-creation once, they failed to sustain these individuals' engagement in value co-creation using online platforms. Using the Stimulus Organism Response (S-O-R) framework, this study examines the relationship between relevant personal factors (commitment and knowledge self-efficacy) and other motivational factors that provide perceived benefits with value co-creation engagement. Data was collected from 308 respondents at five Malaysian research universities. The software analysis tool Smart PLS is used for data analysis and validation. The results demonstrate that personal factors and perceived benefits as a motivational factor has a significant effect on individual engagement in value co-creation. However, the significance of these findings varies from one individual to another. The implications of these findings are discussed.
    Matched MeSH terms: Problem Solving
  20. Ding K, Choo WC, Ng KY, Ng SI, Song P
    Front Psychol, 2021;12:659481.
    PMID: 33967922 DOI: 10.3389/fpsyg.2021.659481
    This study aims to examine key attributes affecting Airbnb users' satisfaction and dissatisfaction through the analysis of online reviews. A corpus that comprises 59,766 Airbnb reviews form 27,980 listings located in 12 different cities is analyzed by using both Latent Dirichlet Allocation (LDA) and supervised LDA (sLDA) approach. Unlike previous LDA based Airbnb studies, this study examines positive and negative Airbnb reviews separately, and results reveal the heterogeneity of satisfaction and dissatisfaction attributes in Airbnb accommodation. In particular, the emergence of the topic "guest conflicts" in this study leads to a new direction in future sharing economy accommodation research, which is to study the interactions of different guests in a highly shared environment. The results of topic distribution analysis show that in different types of Airbnb properties, Airbnb users attach different importance to the same service attributes. The topic correlation analysis reveals that home like experience and help from the host are associated with Airbnb users' revisit intention. We determine attributes that have the strongest predictive power to Airbnb users' satisfaction and dissatisfaction through the sLDA analysis, which provides valuable managerial insights into priority setting when developing strategies to increase Airbnb users' satisfaction. Methodologically, this study contributes by illustrating how to employ novel approaches to transform social media data into useful knowledge about customer satisfaction, and the findings can provide valuable managerial implications for Airbnb practitioners.
    Matched MeSH terms: Problem Solving
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