Purpose: This study explores central questions related to the connection between intellectual capital (IC) and the innovative performance of organizations through the mediating role of management control systems (MCS) and business strategies, as well as the moderating role of innovation capabilities.Design/methodology/approach: The data was collected from the managers of small and medium enterprises (SMEs) through a structured questionnaire. Out of 1,152 questionnaires distributed, only 415 were used for analysis purposes. Structural equation modelling (SEM) was used to test the study hypotheses.Findings: Intellectual capital significantly influences MCS, business strategies and innovative performance. Moreover, MCS, business strategies and innovative capabilities significantly improve innovative performance. MCS and business strategies significantly mediate the relationship between intellectual capital and innovative performance. Finally, innovative capabilities significantly moderate that between intellectual capital and innovative performance.Practical implications: The current research examines how management should use MCS, business strategies, and innovative capabilities to take maximum benefit from intellectual capital in order to improve innovative performance.Originality/value: This is pioneering research that develops a theoretical model to incorporate intellectual capital, MCS, business strategies, innovative capabilities and innovative performance. Even though the influence of various kinds of intangible assets/resources on innovative performance has been widely examined in the literature, scant attention has been paid to the role of MCS, business strategies, and innovative capabilities in leveraging the firm's intellectual capital.

The most current highly infectious disease, which has become a global health challenge permeating entire sectors of society, is COVID-19. In the education sector, the transmission of COVID-19 has been curbed through the closure of institutions and the facilitation of online learning. The main objective of this study was to propose an integrated model of the unified theory of acceptance and use of technology combined with the DeLone and McLean model, to examine the influence of quality features, namely, performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), and social influence (SI), on the intentions and satisfaction of users toward mobile learning (m-learning) use in the context of Saudi learning institutions. The study obtained m-learning user data using an online questionnaire, after which the data were exposed to partial least squares structural equation modeling to test the proposed research model. The findings supported the influence of PE, EE, and FC on intention toward m-learning use but did not support the significant influence of SI. Moreover, system, intention, and user satisfaction were found to positively and significantly influence m-learning-system usage, with system, information, and service quality being top drivers of such user intention and satisfaction. The results reflect the required information concerning the strategies of higher institutions to enhance m-learning-system acceptance among students, with general implications for learning acceptance and usage.

Purpose: The purpose of this paper is to investigate the impact of human resource management (HRM) practices on the performance of Jordanian banks as determined by using the balanced scorecard (BSC) performance measurement system and by testing the effect of organizational citizenship behavior (OCB) as a possible mediator variable.Design/methodology/approach: A questionnaire was used to collect data from the study sample, which consisted of 230 managers working in various banks across Jordan. The study hypotheses were then tested using SPSS and AMOS software by applying structural equation models (SEMs).Findings: The data set revealed that the use of HRM practices had a significant impact on both employee OCB and bank performance in all the four dimensions of the BSC (financial, customer satisfaction, internal processes, learning and growth). In addition, OCB was found to have a positive significant impact on organizational performance. Moreover, results indicated that OCB partially mediates the relationship between HRM practices and organizational performance.Originality/value: The authors examine the impact HRM practices on the organization performance through the mediation role of OCB. The results obtained from this study extend the existing literature by providing evidences from non-western country such as Jordan. Based on the findings, the theoretical and practical implications of the study as well as limitations and suggestions for future studies are also discussed.

Purpose: This study explores the acceptance of protection technology, namely, exposure detection apps, in the context of the Covid-19 pandemic. Unlike other situations, the context of the pandemic is characterized by large levels of threat and fear which largely affect the human decision-making process. To identify such characteristics, this study investigates the acceptance of exposure detection apps from the perspective of protection motivation theory (PMT). It examines how the perceived risk of Covid-19, perceived fear of Covid-19, self-efficacy, response efficacy and protection motivation interact to predict the acceptance of exposure detection apps.Design/methodology/approach: Data were collected from 306 Jordanian participants, and structural equation modelling was used for data analysis.Findings: The results reveal that acceptance of these apps is triggered by the perceived risk of Covid-19, which increases the experienced level of fear. The latter then initiates a compelling desire or motivation to protect oneself by using the recommended adaptive response (exposure detection app). The results show that an increased level of self-efficacy and perceived efficacy of exposure detection apps also contribute to the development of protection motivation and later the intent to use exposure detection apps.Originality/value: This study contributes to the technology acceptance domain by developing a context-driven model of the key characteristics of pandemics that lead to different patterns of technology acceptance. The key components in designing effective marketing campaigns to prompt the use of exposures detection apps are discussed.