Corporate foresight is a capability that includes any structural or cultural element that enables the company to detect discontinuous change early. The purpose of the present study is to examine the direct impact of corporate foresight, and organizational learning on the performance dynamic of SMEs working in the United Arab Emirates (UAE). In addition, the study tries to analyze the moderating as well as mediating effect of digital transformation and innovativeness on the relationship between exogenous and endogenous constructs. A sample of 576 questionnaires were distributed among the owners/managers of different SMEs working in the region of UAE. However, a final sample of 354 respondents was empirically tested. The data was analyzed through a two-step approach where structural equation modelling (SEM) under SmartPLS was found to be very helpful to examine the direct and indirect relationship between the study variables. The study findings show that there is an insignificant but positive impact of corporate foresight on organizational performance whereas significant impact of organizational learning on organizational performance. Furthermore, the study found evidence for the moderating effect of digital transformation between organizational learning and innovation. Additionally, it is observed that innovativeness mediates the relationship between corporate foresight and performance dynamics. The study findings suggest that for exploring the relationship between corporate foresight, digital transformation, and organization the role of innovation and digital transformation is quite significant. The study findings suggest that both owners and managers at SMEs of UAE should attach more importance to innovative capabilities and digital transformation for achieving higher levels of organizational performance. Policy makers should reasonably consider the direct and indirect effect of study variables while considering high performance at the workplace.

Stimulating customers’ reuse of online services, such as online shopping, is integral for companies. Consequently, this study assessed the effects of mobile customer relationship management on reuse online intention and the impact of mobile customer relationship management on service convenience. Additionally, the study analyzed the effect of service convenience on reuse online intention, the mediating role of service convenience between mobile customer relationship management and reuse online intention and the moderating role of online perceived behavior control between service convenience and reuse online intention. This study utilized two theories: the technology acceptance model and planned behavior. A total of 249 responses from customers were analyzed with Smart Partial Least Squares. According to the study, mobile customer relationship management positively impacts service convenience and reuse online intention. Additionally, service convenience mediated the connection between mobile customer relationship management and reuse of online intention, and online perceived behavioral control moderated the association between service convenience and reuse online intention. The study focused on consumers’ motivations regarding reuse online services intention. The goal here is to aid organizations in the implementation of service convenience and innovative online strategies and applications that provide services to consumers.

As embodied in Malaysia's Vision 2020, Malaysia aims to become a cashless country. Therefore, the existing statistical data indicated that the e-wallet adoption rate remains at a low percentage. It has been a barrier for Malaysia in achieving the aims to become a cashless country. The use of e-wallet was also expected to rise amidst the Covid-19 pandemic; to optimize an intervention for the Covid-19 outbreak. Thus, the current study investigates the factors that correlate with the intention to use e-wallet during the Covid-19 pandemic. This study is designed using a quantitative approach through cross-sectional data. A total of 160 Malaysian youths participated and collected by using an online survey. Further, the Task-Technology Fit (TTF) model and Technology Acceptance Model (TAM) were integrated into this study with an extended variable, namely, perceived credibility. The analysis results showed that Individual-Technology Fit, Task-Technology Fit, Perceived Usefulness, Perceived Ease of Use and Perceived Credibility were significantly correlated to Covid19 intra-period e-wallet adoption. In conclusion, a considerable theoretical contribution was demonstrated by integrating TTF-TAM and Perceived Credibility in a single integrated model. The constructs in the TTF model (i.e., Individual-technology fit and task-technology fit) has positively related to the constructs in the TAM model (i.e., perceived usefulness and perceived ease of use). This study is useful to stakeholders and provides enhanced directions to meet market needs by understanding and predicting e-wallet user's post-pandemic behavior, thereby helping service providers attract new users and retain their existing users.

This paper examines the impact of economic and financial factors on tax revenue of Bahrain and Oman from 1990 to 2010. For this purpose, panel regression analysis is performed by considering economic and financial factors including growth domestic product (GDP), Deposit Interest Rate, Lending Interest Rate, Interest Rate Spread, Real Interest Rate, Bank Capital to Asset Ratio, Bank nonperforming loans to total gross loans, Risk premium on lending, Foreign direct investment net inflow and Cash surplus deficit. A conceptual model is developed for this purpose and the key findings are explained. The outcomes of the study explain that there was a significant relationship between Tax revenue and both economic and financial factors i.e. GDP growth, Bank capital to asset ratio, the Risk premium on lending, Foreign direct investment net inflow and Cash surplus/deficit over the period of study. The findings of the study are very much useful for the policymakers to consider which factors are affecting the tax revenues and in which direction. However, the findings of the study can be more meaningful with the addition of more economic and financial factors as well. Besides, the consideration of other Asian states will provide more evidence for the generalization of the findings. Meanwhile, this study will be a policy note on on-going tax reforms in selected Middle East countries and will be helpful for policymakers and researchers in conceptualizing the tax revenue model for them.

The purpose of the current study is to investigate the various factors influencing on people to invest in mutual funds and examine the mediating role of investor’s perception. By using quantitative research approach and cross-sectional research design, 300 questionnaires are distributed among the individual investors and Smart PLS 3 is used to analyze the data. The results reveal that risk and return, liquidity of assets, demographic factors (gender, age, and material status), convenience, reduction in transection cost, tax benefits and transparency were the key factors and maintained significant relationships with investment in mutual funds. Moreover, investor’s perception maintains mediating role between all these factors and investment in mutual funds. The study contributes in literature by investigating the various factors, which influence on investors to invest in mutual funds. Moreover, it also contributes by investigating the mediating role of investor’s perception.

Herbal Products industry has experienced significant growth in product demand. Therefore, this study aims to identify the factors effecting the actual buying of Herbal Product. This study also examines the moderation effect of perceived risk on the relationship between product safety and intention. Mall intercept survey was used to collect data from six various states in Malaysia. The data is analyzed using Partial Least Squares (PLS) path modeling. The path coefficient results supported the direct influence of intention on actual buying. Similarly, the findings reveal that perceived risk moderate the relationship between product safety and buying intention.

In this paper, a new method is proposed for scheduling dynamic cellular manufacturing systems (D-CMS) in the presence of uncertain product demands. The aim of this method is to control the process of trading off between in-house manufacturing and outsourcing while product demands are uncertain and can be varied from period to period. To solve the proposed problem, a hybrid Tabu Search and Simulated Annealing are developed to overcome hardness of the proposed model and then results are compared with a Branch and Bound and Simulated Annealing algorithms. A Taguchi method (L_27 orthogonal optimization) is used to estimate parameters of the proposed method in order to solve experiments derived from literature. An in-depth analysis is conducted on the results in consideration of various factors. For evaluating the system imbalance in dynamic market demands, a new measuring index is developed. Our findings indicate that the uncertain condition of market demands affects the routing of product parts and may induce machine-load variations that yield to cell-load diversity. The results showed that the proposed hybrid method can provide solutions with better quality.

The frequently discussed topic of job satisfaction is not new in the field of organizational behavior research. Job satisfaction is related to customer satisfaction; however, there is a scarcity of empirical evidence regarding this link. The current piece of research examines the said relationship in the context of the online call center. In addition, this study investigates the effect of human resources (HR) practices on job satisfaction within the online call center context. The sample of the study consists of 275 employees who were working as an online call center. SMARTPLS 3 was used to analyze the data. The findings of the study indicated a positive relationship between HR practices with job satisfaction. Furthermore, a positive impact of job satisfaction on customer satisfaction is observed. The mediation of customer interaction quality is also found to be significant in the relationship between job satisfaction and customer satisfaction.

This study examines the role of gender on entrepreneurial marketing (EM) and Bangladeshi Small and Medium Enterprises (SMEs) performance relationship. A self-administered questionnaire was conducted. A total of 220 owners of SMEs in Bangladesh were selected randomly as respondents from the list of active SMEs in Dhaka and Narayanganj city. The data were analyzed by using SEM-AMOS package 25.0. This study finds that there was a significant and direct effect of entrepreneurial marketing on firm performance. In addition, there was a significant effect of gender as a moderating variable in this relationship. At the corporate level, this study provides insights for the SMEs in making decisions related to gender and firm performance. The implications of the above findings are discussed.

The uprising of blockchain technology has recently become a trend owing to its prowess to reform the governance of supply chains, offering improved levels of data transparency, traceability, and efficient workflow. The objective drawn on this research is to examine the key determinants that impact the adoption as well as applicability of blockchain technology within the supply chain management context. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) model is tested in this study to inspect and fathom the complex relationships between these components, thereby uncovering their respective significance and interrelationships. The results derived from this study contribute vital insights into the ever-changing landscape of blockchain adoption, with a particular focus on key factors comprising technical competencies, IT infrastructure, interoperability, compatibility, and complexity. The research based on DEMATEL methodology reveals both direct and indirect influences, facilitating a more comprehensive comprehension of these crucial variables. This study is an invaluable resource for industry stakeholders, policymakers, and organizations seeking to embrace blockchain technology into supply chain operations. This study’s original intent is to frame an extensive analysis of the key aspects and their interrelationships, offering valuable insights for making well-informed decisions. The overarching aim is to facilitate the seamless assimilation of blockchain architecture into supply chain management systems, promoting effectiveness along with harmony.