This study utilizes panel data of worldwide listed companies from 2013 to 2022 and employs a fixed-effects model to empirically examine the impact of artificial intelligence (AI) on corporate sustainable development and its underlying mechanisms. The results indicate that AI significantly enhances corporate sustainable development capabilities. Heterogeneity analysis reveals that the effect of AI on sustainable development varies across firm characteristics such as firm size, market competition intensity, and firm age. Specifically, AI has a more pronounced impact on firms with larger asset scales compared to those with smaller scales, firms with fewer employees compared to those with more employees, firms in highly competitive markets compared to those in less competitive markets, and mature firms compared to younger firms. Mechanism analysis shows that AI facilitates corporate sustainable development by reducing information asymmetry, enhancing internal financial efficiency through real-time cash flow monitoring and predictive analytics, and alleviating financing constraints by improving access to diversified financial services. Furthermore, AI supports sustainability by optimizing environmental and social performance, thereby enhancing ESG ratings and advancing sustainable development goals. This study establishes a theoretical framework linking artificial intelligence and corporate sustainability based on the Resource-Based View (RBV). By further integrating perspectives on financing, collaboration, and ESG performance, the research offers valuable insights for firms and policymakers aiming to enhance sustainable competitiveness.

As the uncertainty of business environment and competition strength increases, a large number of enterprises implement cloud ERP so as to overcome these adverse changes. The introduction of cloud ERP does not merely mean the introduction of an online information system; it comprises the absorption of management process which is inherent in cloud ERP package and the formation of a new organization structure accompanied by transformation process. The main propose of this research is to examine the performances in cloud ERP introduced enterprises by utilizing balanced scorecard. To test the model, structural equation modeling is employed to analyze data collected from 155 enterprises which have introduced cloud ERP for more than one year. Based upon the empirical results, it is found that the cloud ERP can significantly enhance the operational efficiency and decision-making ability of enterprises. This research contributes to the understanding of cloud ERP and provides practical guidance for enterprises to optimize their operations through the adoption of cloud ERP systems.

Research on the link between investments in ERP systems and organizational performance has often led to mixed results. Besides internal organizational factors, many external contextual factors come into play. This study examined the role of firm size, industry, and duration of ERP system's use in influencing the performance impact of ERP systems through moderating the relationships between antecedent variables, ERP-induced benefits, and improvement in overall organizational performance. Using a sample of 200 participant firms, and structural equation modeling (SEM) analysis, the author confirmed the significant role of business process re-engineering and organizational fit and alignment as antecedents to ERP-induced benefits in information quality, and coordination/integration. Data and information quality was in turn confirmed as a significant predictor of organizational performance. Furthermore, the roles of industry, firm size, and time elapsed were also confirmed as significant moderators to the influence of the antecedent variables on ERP benefits and organizational performance.

Group buying organizations (GBO) have recently stepped up their well-established practice of employing super-low prices combined with limited product and service supply in a short transaction time span as a means of exerting pressure on consumers. The purpose of this research is to 1) identify and define three types of pressure that are triggered by online group-buying (OGB) promotions, 2) examine the effects of these three types of pressure on consumers' impulse buying behavior, and 3) investigate and produce knowledge about the mediating role of emotion in the relationship between pressure and impulse buying intention (IBI) of consumers. By integrating stimulus-organism-response (SOR) model and consumer impulse buying literature seen from the perspectives of marketing and enterprise information systems respectively, this research has identified three types of pressure (i.e., time pressure, quantity pressure, and price pressure) that influence the impulse buying behavior (IBB) of consumers regarding OGB. The research then examines the mediating role of emotion with reference to pleasure and arousal level. The results of a large-scale online survey combined with an analysis of a structural equation model demonstrate that the above-mentioned three types of pressure have different effects on IBI of consumers. Moreover, the research finds that this is achieved through different mediating mechanisms. Based on the results of the analysis, the authors have made some suggestions that marketers can utilize in developing effective OGB strategies. This research also provides the basis for enterprise information systems (EIS) to develop technologies that will allow organizations to better serve the needs of their OGB customers.

A knowledge worker's goal commitment is critical to the success of system implementation in the organization. This paper investigates an individual's information formality motivation and social influence as important determinants in developing goal commitment in the system implementation based on the social psychology and information management literature. An empirical test of the proposed model was conducted in the field test (n = 148). PLS was used to analyze the model and supported the validity of the results. Social influence and information formality influence knowledge worker's goal commitment (R2 = 0.36) as expected. Social influence has a higher effect on goal commitment than information formality motivation. The results of this study will help us understand the antecedents of goal commitment in the system implementation based on the social influence theory and personal information management model. The paper includes implications for the designers and information system (IS) managers to effectively understand knowledge worker's goal commitment in the organization.

Mobile messaging apps are currently a popular method in Malaysia for communicating while on the go, owing to its convenience, reliability, and contact-free feature of mobile application. Fueled by mobile internet and smartphone growth, mobile messaging apps have become a strong force in the mobile app sector, offering users an alternative to SMS-based texting paired with social media elements and enhanced features, such as group chats and photo sharing. The study was anchored using the unified theory of acceptance and use of technology 2 theory. A survey with 150 respondents and PLS analysis is used to determine the antecedents of mobile application continuance usage during the COVID-19 pandemic. The results revealed that there is an influence in the usage of mobile messaging apps among the younger generation in Malaysian public university students during the COVID-19 pandemic. The main implication shows that mobile application among young generations in public universities has become popular. The convenience usage of the internet has turned the world into a global village.

Understanding the effects of information technology infrastructure flexibility (ITIF) and behavioural biases on investment decisions will help investors make more informed choices. Due to a lack of investment and decision-maker biases, Iraqi universities' IT infrastructure is not well developed, resulting in low performance. However, few studies look into the causes of this phenomenon. This study aimed to investigate the impact of ITIF and behavioural biases on investment decision making and their impact on organisations' performance. A total of 209 valid responses from decision-makers in private universities of the Republic of Iraq are analyzed. A set of statistical analyzes are performed with SmartPLS software. The results show that there is a significant impact of ITIF factors and behavioural biases on investment decision making. Also, investment decision making influences organizational performance. The research confirms the significance of ITIF and behavioural biases as critical indicators of organizational strategic decision making.