Purpose The purpose of this study is to provide an insight into the crucial antecedents of customer satisfaction and revisit intention in the context of dining restaurants in a holistic approach, taking Bangladesh as a unit of analysis. Design/methodology/approach The research design was cross-sectional. Data were collected from 30 dining restaurants in Dhaka city, Bangladesh. The proposed model was tested using partial least square structural equation modeling with a sample size of 600 respondents. Findings The antecedents of customer satisfaction (i.e. service quality, food quality, atmospherics, other customers and perceived value/price) were found to have significant positive effects on customer satisfaction. Customer satisfaction and restaurant reputation were found to have significant positive effects on revisit intention, while variety seeking tendency was found to have a significant negative effect on revisit intention. Trust was found to partially mediate the customer satisfaction-revisit intention and restaurant reputation-revisit intention relationships. Originality/value This study is among the first to provide a holistic approach toward the crucial antecedents of customer satisfaction (i.e. service quality, food quality, atmospherics, other customers and perceived value) and revisit intention (i.e. customer satisfaction, variety seeking tendency, trust and restaurant reputation) in one structural equation model, and investigated their interrelationships in the context of dining restaurants. To the authors’ knowledge, this is the first study that has investigated the mediating role of trust between the customer satisfaction-revisit intention and restaurant reputation-revisit intention relationships in the context of dining restaurants. From a market-specific context, this the first study to investigate and link the examined variables in the context of Bangladeshi dining restaurants.
Purpose The purpose of this paper is to link customer satisfaction, switching intentions, perceived switching costs, and perceived alternative attractiveness in the context of the Bangladeshi mobile telecommunications market (MTM). In addition, this study develops three key formative determinants of customer satisfaction: financial factor, technological factor, and customer service factor. Design/methodology/approach A model is developed and tested using PLS-SEM with a sample size of 442 respondents. The three key formative determinants of customer satisfaction were developed using a panel of five industry experts. Findings Financial, technological, and customer service factors were found to have significant positive effects on customer satisfaction. Customer satisfaction and perceived switching costs were found to have a significant direct effect on switching intentions, and perceived switching costs and perceived alternative attractiveness were found to have significant moderating effects on switching intentions through customer satisfaction. However, no significant direct effect of perceived alternative attractiveness on switching intentions was found. Originality/value This is the first study to link customer satisfaction, switching intentions, perceived switching costs, and perceived alternative attractiveness using structural equation modeling in the context of the Bangladeshi MTM. In addition, three key formative determinants of customer satisfaction are developed.
The IEEE 802.11e Enhanced Distributed Channel Access (EDCA) is the distributed channel access mechanism introduced by an amendment to the original IEEE 802.11 standard. EDCA provides a class-based differentiated Quality of Service (QoS) to IEEE 802.11 WLANs. This paper presents a simulation study of the EDCA mechanism, considering a single Access Point (AP) based WLAN system.We used in our simulation study, the International Telecommunication Union (ITU) indoor propagation model considering the indoor or semi-indoor deployment scenarios of the WLAN systems in most real life cases. Simulation experiments show that a node accessing highest priority traffic through an AP from a high distance at high data rate not only suffers performance drops itself but also severely bottlenecks the performance of other client nodes, accessing traffics with comparatively lower priority even if those nodes are at close proximity from the AP.
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