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In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

In flexible electronics applications, organic inks are mostly used for inkjet printing. Three-dimensional (3 D) printing technology has the advantages of low cost, high speed and good precision in modern electronic printing. The purpose of this study is to solve the high cost of traditional printing and the pollution emissions of organic ink. It is necessary to develop a water-based conductive ink that is easily degradable and can be 3 D printed. A nano-silver ink printed circuit pattern with high precision, high conductivity and good mechanical properties is a promising strategy.

The researched nano-silver conductive ink is mainly composed of silver nanoparticles and resin. The effect of adding methyl cellulose on the ink was also explored. A simple 3 D circuit pattern was printed on photographic paper. The line width, line length, line thickness and conductivity of the printed circuit were tested. The influence of sintering temperature and sintering time on pattern resistivity was studied. The relationship between circuit pattern bending performance and electrical conductivity is analyzed.

The experimental results show that the ink has the characteristics of low silver content and good environmental protection effect. The printing feasibility of 3 D printing circuit patterns on paper substrates was confirmed. The best printing temperature is 160°C–180°C, and the best sintering time is 30 min. The circuit pattern can be folded 120°, and the cycle is folded more than 60 times. The minimum resistivity of the circuit pattern is 6.07 µΩ·cm. Methyl cellulose can control the viscosity of the ink. The mechanical properties of the pattern have been improved. The printing method of 3 D printing can significantly reduce the sintering time and temperature of the conductive ink. These findings may provide innovation for the flexible electronics industry and pave the way for alternatives to cost-effective solutions.

In this study, direct ink writing technology was used to print circuit patterns on paper substrates. This process is simple and convenient and can control the thickness of the ink layer. The ink material is nonpolluting to the environment. Nano-silver ink has suitable viscosity and pH value. It can meet the requirements of pneumatic 3 D printers. The method has the characteristics of simple process, fast forming, low cost and high environmental friendliness.

The principal objective of this research is to delve into the intricate dynamics surrounding the contentious exploitation of incentive-based marketing tactics within online food delivery (OFD) services in Malaysia.

The data collection process involved the development of an online survey questionnaire rooted in quantitative research methodology. To ascertain a representative sample, a probability-based simple random sampling approach was undertaken, and the data was gathered using the Google Form survey tool. To empirically test the proposed model, data was collected from a sample of 350 participants. The hypotheses were evaluated using the PLS-SEM technique to scrutinize the relationships within the model and assess potential variations across different groups.

The results delineated that all the hypotheses were supported; however, Irritation was rejected and unable to have an influence on consumer attitudes and purchase behaviour towards mobile advertising.

By offering incentives, marketers can foster greater acceptance of advertising among consumers, thereby enhancing their engagement and interaction with mobile advertising in the OFD services.

The advancement of mobile technology has facilitated the emergence of innovative marketing tactics, enabling firms and brands to establish direct communication channels with prospective consumers.

The primary aim of this study is to thoroughly investigate strategic approaches that influence consumer attitudes, contributing to the attainment of success in mobile advertising campaigns.

The theory of planned behaviour (TPB) is utilised as a significant and fundamental theory, imparting valuable insights into the field of mobile advertising. Probability sampling, specifically the simple random sampling technique is employed by the study to gather data from a representative sample of mobile users in Kuala Lumpur, Malaysia. A conceptual model is constructed based on data collected through an online survey involving 350 respondents, which underwent rigorous empirical analysis using SPSS and AMOS software.

The results largely support the proposed hypotheses, affirming the relationships between the variables. However, the hypotheses regarding the impact of irritation on consumer attitudes and purchase behaviour are not supported.

This study suggests that Malaysian marketers and advertisers ought to judiciously employ specific design principles to proficiently captivate their target audience in mobile advertising endeavours. They should devote their efforts to the meticulous development and tailoring of mobile advertising strategies, with the explicit aim of enhancing the positive influence of consumer attitudes and improving the effectiveness of mobile advertising success.

Mobile communications have become essential instruments for mobile marketers, seeking to understand customer attitudes and behaviours to enhance advertising acceptance and alleviate negative consumer sentiments.

This paper aims to explore the relationship between green human resource management (GHRM) practices and the environmental performance (EP) of firms belonging to industries that may lean toward environmental pollution (e.g. oil and gas). The authors propose a holistic (serial mediation) model based on the ability-motivation-opportunity (AMO) theory and the social exchange theory (SET) and integrate organizational, i.e. perceived organizational support (POS), and individual, i.e. innovative environmental behavior (IEB), factors as explanatory mechanisms. The authors then test the model in a developing country context.

Data were collected from white collar workers in the oil and gas industry in Pakistan. A structural equation modeling (SEM) technique and the PROCESS model 6 were used to analyze the hypothesized serial mediation model.

The authors found support for the fully meditating serial mediation model. Although the direct effects of GHRM and EP were insignificant, the total effects and indirect effects through POS and IEB were significant. Similarly, the research also found support for organizational and individual factors as explanatory mechanisms in the relationship between GHRM and EP.

This research adds to the existing literature on GHRM and the corporate EP link through proposing and testing a model of the mediating effects of POS and IEB. Furthermore, it provides empirical evidence of this model in the oil and gas sector using an Asian developing country as the context of study.

Industry 5.0 is considering a paradigm shift from mass production to mass personalization and a human-centric model of services using modern technologies. This study aims to examine the Industry 5.0 and its applications in various sectors. It also pinpoints the possible challenges and opportunities for libraries promoting library services, resources, infrastructure and spaces to attract the modern library users.

Relevant literature on the topic was searched using keywords including Industry 5.0, modern technologies, artificial intelligence, sustainability and green shift and libraries. The researcher also used his experience and the initiatives of the Punjab University Library, which is the oldest and largest university in Pakistan, to promote personalization and user-centered approaches.

Findings revealed challenges and opportunities for libraries. Using Industry 5.0, Libraries have the potential to understand users’ preferences, browsing history and information behavior, and accordingly design their services, resources, infrastructure and spaces. Libraries can serve their modern users through personalization and human centric approach such as content recommendations, alert and notification services, customized research assistant, inclusive and accessibility services, personalized event services and personalization through human books.

Professional library associations, library schools, library directors and libraries need to proactive learn and apply Industry 5.0 while establishing library services, resources, infrastructure and spaces. Library schools need to design their curriculum considering the Industry 5.0 technologies, tools, and platforms.

This study provides a pen picture of the Industry 5.0 and its impact on libraries. Potential challenges and opportunities are highlighted. These all initiatives required a visionary library leadership to take initiatives toward human-centered personalized services and attract the modern library users.

This book chapter delves into the dynamic landscape of artificial intelligence (AI) integration within the higher education (HE) sector through a series of compelling case studies. Divided into two main themes, the chapter explores the innovative strides universities have made in adopting AI and the challenges that universities have encountered as they have attempted to harness the power of AI for the benefit of both students and academics. In the first part of the chapter, there will be an exploration of the pioneering initiatives undertaken by academic institutions, showcasing examples illustrating innovations in teaching and learning. From AI-driven personalised learning platforms to cutting-edge digital resources, these examples underscore the transformative potential of AI in enhancing educational experiences. Furthermore, the chapter examines how universities make use of AI to drive groundbreaking research. It explores the AI technologies used to advance scientific inquiry, streamline data analysis, and empower researchers in various disciplines. In the second part of the chapter, the focus will shift to the challenges and setbacks that universities have encountered along their journey in adopting AI. Drawing from real-world experiences, the examples in this chapter provide insights into the complexities and pitfalls of AI implementation in academia. Readers will gain valuable lessons from the institutions’ encounters with challenges, shedding light on the importance of ethical considerations, data privacy, and the need for a thoughtful approach to AI integration.

Intellectual capital (IC) plays a pivotal role in determining corporate risk profiles in the contemporary knowledge era. Consequently, this study aims to analyze the impact of IC on firm risk (FR) among the manufacturing companies listed on the Pakistan Stock Exchange (PSX).

The authors have adopted the modified value-added intellectual model which combines human capital efficiency, structural capital efficiency, efficiency of capital employed and relational capital efficiency. FR has been used as the dependent variable, measured as the standard deviation of the daily stock prices. The study has used panel data from a sample of 40 manufacturing companies listed in the KSE-100 Index from 2015 to 2021.

The results suggest that IC has a significant impact on the FR of manufacturing companies listed on the benchmark index of PSX. Moreover, this relationship is direct; thus, an increase in IC would also increase FR measured by the change in stock prices.

The current study has only used linear techniques. Future researchers may consider investigating the impact of IC at varying levels of FR using nonlinear techniques.

This study provides corporate managers and policymakers valuable insight into the need to strike a balance between investment in IC and their FR, particularly in an emerging market context.

IC is frequently associated with firm performance. However, the relationship between IC and FR has generally been underexplored. This study adds to the strand of limited IC literature by investigating the impact of a modified IC model on FR in an emerging economy.

The existence of intense competition in turbulent markets confirms the importance of using ethical employee practices in knowledge sharing behaviour (KSB) to ensure organisational growth. This is especially applicable in developing countries' markets where this intensive competition usually results in organisations following illicit practices. This paper aims to examine the relationship between the Big Five personality traits (i.e. openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism) and KSB using Islamic work ethics (IWE) as the moderator.

A quantitative research method using a survey instrument collected 182 responses from employees in the Pakistani telecommunication industry. The partial least squares structural equation model (PLS-SEM) was used to analyse the collected data.

The results found that IWE has a positive impact on KSB and a positive moderating impact on the relationship between the Big Five personality traits except neuroticism and KSB. Also, openness to experience and agreeableness positively impacted KSB.

This paper contributes to the field of human resource (HR) management by helping managers in the hiring process or developing employee's personalities. Additionally, policymakers are encouraged to create Islamic values platforms to increase KSB amongst employees.

This study indicates the importance of IWE in boosting the impact of personality on KSB and provides insights into IWE's role in enhancing an organisation's competitive advantages in turbulent markets.