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INVESTIGATING SATISFIED BUT DISLOYAL BUSINESS CUSTOMERS
Ming-Chih Tsai,Rico Merkert,Shiau-Chi Lin,Mei-Ting Tsai 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07
Satisfaction paradox indicates customer satisfaction does not necessarily translate into customer repurchase. Competitor’s attractiveness and customer demographics are two main moderators for the paradoxical phenomenon. Competitor’s attractiveness exhibits customer switching effect, whereas customer demographics imply customers moored with their current service provider. Still, the cases were few investigated in B2B settings where customers are in general more complex than consumers as involving more intricate organizational network influences. In a business network, transactions may incur buyer/seller relational activities that mitigate paradoxical behavior. Nonetheless, the variable is yet identified and the interacting effects between the moderating variables are not clarified. Thus, this study aims to develop an operational model to classify satisfied customers into loyal, moored and paradoxical segments using three genres of moderators: competitor’s attractiveness, organizational and transactional variables in a B2B setting. In the model, the theoretical bases of switching behaviors are applied for four statistical analysis executed in a logic sequence, including a factor analysis to consolidate quality measurements, a quadrant analysis to locate the effect of competitor’s attractiveness, a clustering analysis to segment satisfied customers into four segments, and finally, nonparametric tests to validate the organizational and transactional segmentation variables. Empirically, we study Taiwanese manufacturers who engaged in global trade and have had experiences in choosing the global air express services that form an oligopolistic market and a strategic group so competitor’s attractiveness can be better calibrated. A total of 180 valid samples are collected and analyzed. The results contribute to the literatures of B2B service marketing.
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Hou Ming-Feng,Ou-Yang Fu,Li Chung-Liang,Chen Fang-Ming,Chuang Chieh-Han,Kan Jung-Yu,Wu Cheng-Che,Shih Shen-Liang,Shiau Jun-Ping,Kao Li-Chun,Kao Chieh-Ni,Lee Yi-Chen,Moi Sin-Hua,Yeh Yao-Tsung,Cheng Chi 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-
In Western countries, breast cancer tends to occur in older postmenopausal women. However, in Asian countries, the proportion of younger premenopausal breast cancer patients is increasing. Increasing evidence suggests that the gut microbiota plays a critical role in breast cancer. However, studies on the gut microbiota in the context of breast cancer have mainly focused on postmenopausal breast cancer. Little is known about the gut microbiota in the context of premenopausal breast cancer. This study aimed to comprehensively explore the gut microbial profiles, diagnostic value, and functional pathways in premenopausal breast cancer patients. Here, we analyzed 267 breast cancer patients with different menopausal statuses and age-matched female controls. The α-diversity was significantly reduced in premenopausal breast cancer patients, and the β-diversity differed significantly between breast cancer patients and controls. By performing multiple analyses and classification, 14 microbial markers were identified in the different menopausal statuses of breast cancer. Bacteroides fragilis was specifically found in young women of premenopausal statuses and Klebsiella pneumoniae in older women of postmenopausal statuses. In addition, menopausal-specific microbial markers could exhibit excellent discriminatory ability in distinguishing breast cancer patients from controls. Finally, the functional pathways differed between breast cancer patients and controls. Our findings provide the first evidence that the gut microbiota in premenopausal breast cancer patients differs from that in postmenopausal breast cancer patients and shed light on menopausal-specific microbial markers for diagnosis and investigation, ultimately providing a noninvasive approach for breast cancer detection and a novel strategy for preventing premenopausal breast cancer.
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