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Access to this document was granted through an Emerald subscription provided by 405387 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to uncover the effects of perceived transaction convenience (PTC) and perceived transaction speed (PTS) on unified theory of acceptance and use of technology (UTAUT) in the context of m-payment. Design/methodology/approach -A predictive analysis approach was used to examine the PTC and PTS using a two-stage partial least square (PLS) and neural network (NN) analyses. Findings -The findings reveal that only effort expectancy (EE) and facilitating conditions (FC) were discovered to significantly influence BI. More importantly, PTC was found to have positive significant relationship with EE and performance expectancy (PE). Moreover, PTS also supported the positive relationship with BI and EE. Practical implications -The findings of the study provided further insights to mobile payment service providers, online banking industry players, and all decision makers and stakeholders involved. Originality/value -Despite of many attempts devoted to understand m-payment adoption, the effects of PTC and PTS on m-payment are not well understood.

Purpose -This paper purports to analyze the relationship between knowledge management (KM) and technological innovation in the Malaysian manufacturing sector. Furthermore, the interrelationships between the KM dimensions will also be investigated.Design/methodology/approach -Survey data from 162 manufacturing firms were obtained. Multiple linear regression and neural network analysis were performed in this study to examine the relationships between KM and technological innovation; as well as the interrelationships between KM practices themselves.Findings -This research study provides empirical evidence and confirms the results of past researchers that KM practices (i.e. knowledge sharing, knowledge application and knowledge storage) are positively and significantly related to technological innovation (i.e. product and process innovation). Moreover, it is also discovered that the interrelationships between the KM dimensions are positive and significant.Research limitations/implications -This research implies that when firms understand the significance of KM dimensions, there is a great possibility that the firm will succeed in harvesting the full value of technological innovation. Meanwhile, the result may also serve as a guide to the manufacturing managers to understand the importance of KM in their managerial actions, so that the level of technological innovation in their firms can be greatly enhanced.Originality/value -Extensive research has not been done in the past to examine the relationship between the KM and technological innovation. Meanwhile, the investigation on the interrelationships between the KM dimensions has also been scarce. Hence, such a research is to be called for. This paper provides the manufacturing practitioners with useful guidelines on the appropriate KM practices to be implemented to ensure the improvement in technological innovation.