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The pressure to survive in a highly competitive market by using artificial intelligence (AI) has further demonstrated the need for automation in business operations during a crisis, such as COVID-19. Prior research finds managers' mixed perceptions about the use of technology in business, which underscores the need to better understand their perceptions of adopting AI for automation in business operations during COVID-19. Based on social exchange theory, the authors investigated managers' perceptions of using AI in business for effective operations during the COVID-19 pandemic.

This study collected data through a survey conducted in China (N = 429) and ran structural equation modeling to examine the proposed research model and structural relationships using Smart PLS software.

The results show that using AI in supply chain management, inventory management, business models, and budgeting are positively associated with managers' satisfaction. Further, the relationship between managers' satisfaction and effective business operations was found to be positively significant. In addition, the findings suggest that top management support and the working environment have moderating effects on the relationship between managers' satisfaction and effective business operations.

The results of this study can guide firms to adopt an AI usage policy and execution strategy, according to managers' perceptions and psychological responses to AI.

The study can be used to manage the behavior of managers within organizations. This will ultimately improve society's perception of the employment of AI in business operations.

The study's outcomes provide valuable insights into business management and information systems with AI application as a business response to any crisis in the future.

Firms have already begun integrating artificial intelligence (AI) as a replacement for conventional performance management systems owing to its technological superiority. This transition has sparked a growing interest in determining how employees perceive and respond to performance feedback provided by AI as opposed to human supervisors.

A 2 x 2 between-subject experimental design was employed that was manipulated into four experimental conditions: AI algorithms, AI data, highly experienced human supervisors and low-experience human supervisor conditions. A one-way ANOVA and Welch t-test were used to analyze data.

Our findings revealed that with a predefined fixed formula employed for performance feedback, employees exhibited higher levels of trust in AI algorithms, had greater performance expectations and showed stronger intentions to seek performance feedback from AI algorithms than highly experienced human supervisors. Conversely, when performance feedback was provided by human supervisors, even those with less experience, in a discretionary manner, employees' perceptions were higher compared to similar feedback provided by AI data. Moreover, additional analysis findings indicated that combined AI-human performance feedback led to higher levels of employees' perceptions compared to performance feedback solely by AI or humans.

The findings of our study advocate the incorporation of AI in performance management systems and the implementation of AI-human combined feedback approaches as a potential strategy to alleviate the negative perception of employees, thereby increasing firms' return on AI investment.

Our study represents one of the initial endeavors exploring the integration of AI in performance management systems and AI-human collaboration in providing performance feedback to employees.

The adoption and usage of generative artificial intelligence tools like Chat Generative Pre-Trained Transformer (ChatGPT) in academia is the subject of increasing research interest. This study investigates the factors influencing the intention, usage and recommendation of ChatGPT among university students by employing the stimulus-organism-behavior-consequence (SOBC) framework.

The proposed research model was validated by employing the partial least squares structural equation modeling (PLS-SEM) approach using 249 university students.

The study revealed that intention to use and usage behavior of ChatGPT among university students are highly influenced by perceived usefulness, initial trust, personal innovativeness and availability of information and support. Similarly, the study found a sequence of significant positive relationships among intention to use, actual use and likelihood of recommending the technology to others. However, the results showed that the impact of perceived ease of use and social influence on behavioral intention was not found to be significant predictors of intention to use ChatGPT in academic settings.

The research findings offer a number of benefits for educational institutions and technology developers regarding students’ perceptions of ChatGPT and its academic applications. Eventually, the findings will encourage AI technology developers to enhance the quality and design of their solutions. Additionally, it helps educators in designing the AI governance framework to promote the ethical and transparent use of AI in academic environments.

This study contributes to the expanding body of technology adoption research and offers an integrated theoretical framework for comprehending the adoption and usage of ChatGPT in academic settings.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Automation of business operations can help companies overcome significant challenges like those presented by the Covid-19 global pandemic. Using artificial intelligence (AI) leads to valuable improvements to speed and efficiency in many key functions. Favorable outcomes are likelier when managers are positive towards technology and this can be helped through such as provision of top leadership support and a favorable workplace environment.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This paper aims to assess the impact of the training program on fish traders in building awareness about formalin abuse in food items.

Primary data was collected from the fish traders in Bangladesh by using simple random sampling technique. Binary logistic regression was used to assess the opinions of the fish traders about training in building awareness of formalin abuse.

This study showed that the training of the fish traders played a positive role in improving their awareness level of formalin abuse.

Enhancement of both training and educational support could be an effective strategy in preventing formalin abuse in food.

This study helps in assessing the opinions of the fish traders about the effectiveness of the training programs in building awareness of formalin abuse.

The coronavirus disease 2019 (COVID-19) has a significant influence on many aspects of life, including education. As a result, the education system in emerging nations such as Bangladesh needs a rapid transition from conventional to technology-based distance learning. This study looks at the current state of higher education and how well online courses that use technology work.

This study used a structural equation model (SEM) to analyze the 392 student records taken from several universities in Bangladesh.

This research showed that students are more likely to use a digital higher education system if faculty are willing, students are eager and the economy is stable. Students who have had a bad experience with digital learning should know that a virtual evaluation system is needed. The willingness of students to use technology also plays a significant role in whether or not the students will take online classes. The research shows that combining traditional classroom and online learning is the best way to create a long-term learning system.

The model suggested in this study has a big effect, and Bangladesh policymakers should consider this model when planning a new kind of technology-based education.

This study aims to explore the determinants of the green purchase behaviour (GPB) of environment-friendly and energy-efficient electronic products market. It specifically examines the moderating effect of consumers’ moral identity on the relationships between the consumption values and GPB of environment-friendly and energy-efficient electronic products market. It also examines the direct relationship between consumption values and GPB.

In this study, the theory of consumption values is combined with the moral identity of consumers. A structured questionnaire mall-intercept survey was used to collect data from 396 respondents, which was subsequently processed using the smart PLS software for partial least square structural equation modelling analysis.

Findings reveal that functional value, social value, conditional value and epistemic value are the significant predictors of GPB of the environment-friendly and energy-efficient electronic products market. The moral identity of consumers also appears to positively moderate the relationships between functional, emotional and conditional values and the GPB.

The energy efficiency of electronic products is included in this study as an additional feature of functional value, while government support and business promotional initiatives are incorporated as the new elements of conditional value. Therefore, the inclusion and evaluation of the moral identity of consumers, alongside new elements of functional and conditional values in the theory of consumption values, could be considered a significant theoretical addition. The study uncovered certain customer insights that could help accelerate the adoption of green electronic products, which may result in better energy savings, reduced carbon emissions and environmental safety.

The purpose of this paper is to examine professional accountant’s views on their satisfaction with Continuing Professional Development (CPD) offered by members of the Institute of Chartered Accountants of Bangladesh (ICAB). While there is a great deal of research on CPD and accountants in developed countries, less developing countries are absent from this literature, and there have been calls for this type of research.

The present study employed a survey of members of the ICAB.

Results show that accountants in Bangladesh are satisfied with the CPD provided by their profession, and when satisfaction is compared with more developed countries, Bangladesh is greater on a number of measures. ICAB members would like to also be provided with opportunities to undertake CPD in more ways than just face to face.

The study has important implications not only for accountants from emerging economies such as Bangladesh, but also for the International Federation of Accountants and other less developed countries (LDCs). The results advance the understanding of professional accounting bodies from an international perspective.

This is the first study of CPD and accounting professionals in LDCs. The information obtained can inform the development and practice of other professional accounting bodies in emerging economies.

This research aims to investigate the impact of fear and perceived knowledge (PK) of Covid-19 on the sustainable consumption behaviour (SCB) of Muslim consumers and to test the mediating role of (intrinsic) religiosity.

A total of 417 responses were collected during Covid-19 lockdown through an online structured survey using the snowball technique. A two-step research approach was adopted. In Study 1, an exploratory factor analysis was performed on the SCB measurement scale through SPSS. In Study 2, hypothesised associations were analysed using SmartPLS-SEM.

PK of Covid-19 pandemic directly motivates SCB in Muslim consumers, whereas fear has no direct effect on any factor of SCB. Religiosity is found to be a significant driver of SCB. Indirect effects also depict that religiosity positively mediates the association between fear and SCB as well as PK and SCB.

The study may guide policymakers and marketers in using the current pandemic as a tool to inspire sustainable consumption. Religious values, teachings and knowledge about the pandemics can be publicised to create awareness and induce desired behaviour to cope with adverse events and adopt sustainable consumption patterns and lifestyles among Muslim consumers.

The article is the pioneer of its kind to present survey research about Covid-19 fear and PK’s impact on SCB through religiosity. It adds to the Islamic marketing literature about religiosity, coping theory, PK and fear of pandemics and their role in transitioning Muslim consumers towards SCB. Moreover, the use of partial least squares structural equation modelling in the context of Covid-19 research was extended.

This paper aims to examine the role of religiosity on consumers’ forgiveness when celebrities get involved in transgression. The celebrity’s reaction and its impact on consumers’ forgiveness is tested as well. In addition, consumers’ attitudes towards the brand and celebrity as well as purchase intention for the endorsed brand are examined both before and after the transgression.

Data (n = 356) were collected through a self-administered online survey and analysed though structural equation modelling in AMOS 26.

The results show that consumers’ attitude towards celebrity, brand and purchase intention gets weaker once the celebrity gets into transgression. Consumers tend to forgive more if the celebrity apologises (vs denies) for the wrongdoing. The hypothesised relationship between attitude towards celebrity and purchase intention did not sustain after the transgression. In addition, consumers’ intrinsic religiosity strengthens the relationship between attitude towards the celebrity and purchase intention.

The findings of this research present valuable implications for brands practitioners. Brands should formulate actionable contingency plans to mitigate the negative ramifications of celebrity transgressions. Specifically, intrinsic religiosity and celebrity apologies should assist consumers in forgiving the transgression and negate the implications that could have arisen if the celebrity instead denied the transgressions.

This research extends the previous research by examining religiosity and forgiveness within the context of celebrity transgressions. To the best of the authors’ knowledge, this is one of the first few research studies to consider the role religiosity plays in consumers’ intention to forgive celebrity transgressions.