Mobile banking (m banking) is the breakthrough technology in banking sector which has significantly improved efficiency of banks and people’s quality of life. Banks seem particularly interested in such systems that provide their customers with better services. However, acceptance of and loyalty to m banking depends on how effectively banks motivate their customers to adopt the technology and retain their continued use. The adoption rate in China is very low and quite a few studies have focused on issues related to m banking. The purpose of this study is to examine factors that affect m banking adoption and usage intentions of Chinese bank customers. The proposed model has extended the technology acceptance model (TAM). Data were collected through a field survey questionnaire and analyzed through partial least square structural equation modeling (PLS-SEM). The results showed that acceptance of and loyalty to m banking among Chinese bank customers was significantly and positively affected by resistance to change, perceived risk and low awareness of services, and perceived benefits. The results will be useful to retain existing users and attract new ones. This study is unlike past studies that merely studied short messaging service (SMS) banking and initial adoption or technological aspects of m banking. This study also provides Chinese banks with applicable strategies to effectively design and implement m banking; thus, it is expected to potentially contribute to prevailing literature, especially in the context of China, where few studies that address m banking acceptance and loyalty exist currently.

Purpose: The purpose of this paper is to determine barriers jeopardizing the adoption and usage intention of mobile banking (M-banking) in Pakistan and provide deeper insights to fix such deteriorating factors.Design/methodology/approach: Data was collected in countrywide regional headquarters to mark the utmost generalizability of the results, which included seven largest cities of Pakistan. SEM path analysis was used to analyze data collected from Pakistan’s top 5 bank customers incorporating both users and non-users.Findings: Results revealed that lack of awareness, initial trust and compatibility and perceived risk were the core barriers that stood out as obstacles to the adoption and usage of M-banking in Pakistan. It was also approved that having fixed these core barriers would outcome in existing users’ continuity intent besides raising new users’ inclination toward M-banking.Originality/value: The study has unveiled the core barriers that have so far impeded the adoption and usage of M-banking. There is not a unified position concerning adoption and usage blockades. Factors differ with contexts, markets, time and kinds of innovations. However, this study is unlike past studies that merely studied students within a specified institute in a restricted jurisdiction. This is the first study to have nationally explored adoption and usage issues; thus, it is anticipated to potentially contribute to the prevailing literature especially in Pakistani context where a few studies prevail, addressing M-banking adoption and usage barriers.

The collaborative development of complex products has gradually developed into a “main manufacturer-suppliers” mode, under which the manufacturing enterprises form a complex product collaborative manufacturing supply chain network. Quality risks which bring enormous hidden danger to the product quality can be propagated and accumulate along the supply chain. It is of great significance to quantify the propagation mechanism of quality risk between supply chain network nodes and identify the key quality risk factor that causes fluctuation of product quality. This study for the first time applies the SoV into the research on quality risk propagation of complex product collaborative manufacturing supply chain network. Firstly, this paper uses the CN to construct a complex product collaborative manufacturing supply chain network according to its characteristics. Secondly, on the basis of SoV, the quality risk propagation model is established. Thirdly, we put forward a method to identify the key quality risk factors of supply chain network based on the risk propagation effect. Lastly, a numerical simulation is given to verify the effectiveness of the model and its identification method. The results reveal that the quality risk propagation includes the vertical propagation within enterprises and the horizontal propagation from the lower-level enterprises to the upper-level enterprises of the supply chain. The quality risks of an enterprise are determined by its own quality risk factors and the quality risk passed by the lower-level enterprises.

Since MTB has been deemed as the business model of 21st century but its long-term sustainability depends on level of consumer satisfaction with its applicability in their everyday life. Therefore, current research aims to highlight factors which could shape consumers’ satisfaction and further trigger their intuition to recommend it in their circle of influence. Unified theory of acceptance and use of technology 2 (utaut2) was modified and extended to fit the purpose. Data were collected from prevailing MTB users and analyzed in PLS-SEM. Results reveal that utaut2 factors signify their effects on consumer satisfaction which further trigger their instinct to recommend MTB. Current research modified utaut2 with mediating role of consumer satisfaction with MTB which further stimulates their instinct to recommend it. The modified framework adds value to the theoretical horizon of utaut2 and further extends its applicability in a novel setting like MTB. The study offers insightful implications to MTB companies for effective design and implementation of future strategies. Moreover, limitations and suggestions for future researchers are also discussed.

Based on the attraction–selection–attrition (ASA) framework, this research aimed to investigate the mechanism which affects the link between high-performance human resource practices (HPHRPs) and the two negative employee outcomes of the present study: emotional exhaustion and quit intentions. Using the ASA framework, the authors examine one such mechanism namely person–organization (P-O) fit, through which HPHRPs influence both the studied employee negative outcomes. A sample of professionals working in the public sector universities of Pakistan is adopted for testing the mediation model by using structural equation modeling. Findings reveal that HPHRPs have positive association with P-O fit, and negative with emotional exhaustion and quit intentions. Moreover, the findings illustrated a full mediation effect of P-O fit on the relationship among HPHRPs and both of the employee outcomes. The study has important theoretical and practical implications.