Yucong Lao and Yukun You
This study aims to uncover the ongoing discourse on generative artificial intelligence (AI), literacy and governance while providing nuanced perspectives on stakeholder…
Abstract
Purpose
This study aims to uncover the ongoing discourse on generative artificial intelligence (AI), literacy and governance while providing nuanced perspectives on stakeholder involvement and recommendations for the effective regulation and utilization of generative AI technologies.
Design/methodology/approach
This study chooses generative AI-related online news coverage on BBC News as the case study. Oriented by a case study methodology, this study conducts a qualitative content analysis on 78 news articles related to generative AI.
Findings
By analyzing 78 news articles, generative AI is found to be portrayed in the news in the following ways: Generative AI is primarily used in generating texts, images, audio and videos. Generative AI can have both positive and negative impacts on people’s everyday lives. People’s generative AI literacy includes understanding, using and evaluating generative AI and combating generative AI harms. Various stakeholders, encompassing government authorities, industry, organizations/institutions, academia and affected individuals/users, engage in the practice of AI governance concerning generative AI.
Originality/value
Based on the findings, this study constructs a framework of competencies and considerations constituting generative AI literacy. Furthermore, this study underscores the role played by government authorities as coordinators who conduct co-governance with other stakeholders regarding generative AI literacy and who possess the legislative authority to offer robust legal safeguards to protect against harm.
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Zi Xuan Chan, Yibai Wang, Lin Yuan, Xiaoyun Chen and Yukun Feng
Building on upper echelons theory, this study explores the influence of managerial cognition on firm innovation during times of crisis. Specifically, we aim to disentangle the…
Abstract
Purpose
Building on upper echelons theory, this study explores the influence of managerial cognition on firm innovation during times of crisis. Specifically, we aim to disentangle the concept of cognitive complexity by examining how CEOs’ cognitive depth and cognitive width differently influence their firms’ innovation outcomes. Additionally, we investigate how organizational slack moderates the impact of these cognitive attributes on innovation, providing a deeper understanding of the conditions under which managerial cognition drives firm adaptability in crises.
Design/methodology/approach
This study utilized a sample of 115 listed US firms ranked in the top 200 in terms of market capitalization share in 2020. We measured the key variables by analyzing text and archival data from interviews with CEOs, particularly focusing on their discussions regarding the impacts of the COVID-19 pandemic. Regression analysis was employed to test the hypothesized relationships in the research model.
Findings
The results reveal that under the crisis, CEO cognitive depth enhances firm innovation, while CEO cognitive width impedes firm innovation. Moreover, organizational slack weakens the positive relationship between CEO cognitive complexity and innovation.
Research limitations/implications
This study significantly contributes to and extends the established body of research on a leader’s cognition during a crisis. Our study goes beyond traditional views of cognitive complexity by highlighting the distinct impacts of two critical elements: cognitive depth and width, on decision-making processes. This study contributed to the innovative decision-making literature by opening up the black box behind the decision-making process of innovation during uncertainty. This underscores the multifaceted nature of cognitive processes in innovation, highlighting the interplay between cognitive depth, cognitive width and organizational resources in driving firm innovative outcomes during the crisis. We also broaden the temporal scope of empirical research on CEO cognition by gathering data from CEO interviews conducted during the COVID-19 pandemic.
Practical implications
This study reveals that when CEOs have a broader focus and attend to a wide range of information, their ability to quickly utilize firm resources for formulating competitive actions decreases during uncertainty. Consequently, it is crucial for CEOs to acknowledge the limitations of their attentional capacity. The allocation of their attention and information processing capacity has significant implications for their innovative decision-making processes, particularly in navigating through crises.
Social implications
Our study finds that excessive attention during times of crisis may not necessarily be beneficial to firm innovation. An excessive focus on problems can lead to scattered attention, impairing judgment and decision-making abilities. Moreover, excessive attention to problems may trigger panic and unnecessary stress, further impacting decision quality. High cognitive width can trap teams in short-term thinking and emergency mode, neglecting long-term strategies and opportunities such as innovation investment. Yet, firms with more slack resources can reduce the negative impacts of cognitive depth.
Originality/value
This study proposes a comprehensive cognitive model to understand managers’ decision-making during a crisis. The research posits that different dimensions of CEOs’ managerial cognition have distinct impacts on firm innovation in crisis environments. This study significantly contributes to the study of managerial cognition and innovation literature.
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Nattaporn Thongsri, Orawan Tripak and Yukun Bao
This study aims to examine the variables that influence learners’ acceptance of chat generative pre-trained transformer (ChatGPT) through the theoretical synthesis of variables in…
Abstract
Purpose
This study aims to examine the variables that influence learners’ acceptance of chat generative pre-trained transformer (ChatGPT) through the theoretical synthesis of variables in the field of behavioral science. It uses the use and gratifications theory in conjunction with variables related to the information system (IS), as proposed by the Delone and McLean IS success model.
Design/methodology/approach
This quantitative research collected data from 679 undergraduate students using stratified random sampling. A two-staged structural equation modeling (SEM)-neural network approach was used to analyze the data, with SEM used to study the factors influencing the intention to use ChatGPT. Additionally, an artificial neural network approach was used to confirm the results obtained through SEM.
Findings
The two-staged SEM-neural network approach yielded robust and consistent analysis results, indicating that the variable “System quality (SYQ)” has the highest influence, followed by “Cognitive need (CN),” “Information Quality (INQ),” “Social need (SN)” and “Affective need (AN)” in descending order of importance.
Practical implications
The results obtained from integrating the behavioral variables with IS variables will provide guidance to various organizations, such as the Ministry of Education, universities and educators, in the application of artificial intelligence technology in learning. They should prioritize the quality aspect of the system and the technological infrastructure that supports the use of ChatGPT for learning. Additionally, they should prepare learners to be ready in various dimensions, including knowledge, emotions and social aspects.
Originality/value
This study presents challenges in implementing artificial intelligence technology in learning, which educational institutions must embrace to keep up with the global technological trends. The educational sector should integrate artificial intelligence into the curriculum planning, teaching methods and learner assessment processes from the outset.
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Aboobucker Ilmudeen and Alaa A. Qaffas
Although information technology (IT) governance and IT capability have been extensively examined, the impact of IT governance mechanisms on IT-enabled dynamic capability (ITDC…
Abstract
Purpose
Although information technology (IT) governance and IT capability have been extensively examined, the impact of IT governance mechanisms on IT-enabled dynamic capability (ITDC) with moderators has received less attention. This study investigates how the impact of IT governance mechanisms on firm performance is achieved through an ITDC through the moderating role of IT governance decentralization and a turbulent environment.
Design/methodology/approach
This study extends from the traditional view of IT capabilities and integrates dynamic capability theory to propose that IT governance is vital for the ITDC. Path analysis, hierarchical regression analysis and moderation analysis were performed using partial least squares (Smart PLS 3.0) as the data analysis methods. This study empirically tests the proposed mediated moderation model by using data collected from 254 firms in China to test the hypotheses.
Findings
Significant and impactful relationships are found in the model that includes turbulent environment moderating effects. Contrary to expectations, IT governance decentralization is also significant but not very strong.
Research limitations/implications
This study’s findings have implications for investigating IT governance, IT-enabled capabilities and moderators. Accordingly, this study has implications for board and executive management to capitalize on dynamic IT capability, to keep pace with the challenges and turbulent conditions associated with business needs and for the productivity paradox in the context of Chinese firms.
Originality/value
This country-specific research study theoretically contributes to the IT governance, dynamic capabilities and turbulent environment in the information systems literature and proposes many practical guides to the board and executive management of companies in the Chinese context.
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Kirti Sood and Simarjeet Singh
The present study aims to systematically synthesize the academic and industrial literature on multi-central bank digital currencies (m-CBDCs) arrangements.
Abstract
Purpose
The present study aims to systematically synthesize the academic and industrial literature on multi-central bank digital currencies (m-CBDCs) arrangements.
Design/methodology/approach
The study adopted a unique multivocal literature review methodology that considers both white and grey literature. For white literature searches, the study relied on Scopus, Web of Science (WOS), and Google Scholar bibliometric databases; for grey literature searches, the study used the Google search engine.
Findings
The findings of the study illustrated that M-CBDC arrangements, through various design options, have the potential to revolutionize the contemporary international payment system. M-CBDC arrangements will lead to more integrated financial systems and promote economic growth. However, m-CBDC arrangements will also have serious macroeconomic implications, such as contagion and currency substitution risks.
Research limitations/implications
The present review is one of the earliest reviews of m-CBDC arrangements. In addition, the findings of the study offer valuable insights for both academicians and policymakers.
Originality/value
The study is also one of the pioneer studies in management studies that apply a multivocal literature review methodology.
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After completion of the case study, the students will be able to understand competitive business and corporate strategies; understand various standard models and frameworks…
Abstract
Learning outcomes
After completion of the case study, the students will be able to understand competitive business and corporate strategies; understand various standard models and frameworks related to business and corporate strategy development such as Porter’s five forces model, Ansoff matrix, three value disciplines frameworks, scenario planning matrix and value chain analysis; and practice competitive strategy formulation using the latest analyzing tools/frameworks/models.
Case overview/synopsis
Although the digital wallet industry in Nepal was in its initial stage, it was growing rapidly. A digital wallet brand – Khalti, launched in 2017, could secure the second position in the industry within two years of establishment. In recent times, the leading digital wallet brand was eSewa which was developed by Kathmandu-based company – F1Soft International in 2009. Khalti team was better for creativity, risk-bearing capability, intact bond among co-founders, innovative skills and aggressive growth. Mr Amit Agrawal, the chief executive officer of Sparrow Pay Pvt. Ltd, was preparing to formulate some strategies for his company’s product, Khalti, on March 24, 2020. The next day, he was going to present his ideas about the future directions of Khalti with the co-founders of Janaki Technology, the parent company of Sparrow Pay Ltd. Therefore, his major agenda was how to design effective strategies to make Khalti more competitive against eSewa and probably lead the industry. Based on such a scenario, this case study deals with various competitive business and corporate strategies such as marketing, product and cost differentiation that Khalti could formulate to maintain its position and further become a leading firm in the industry.
Complexity academic level
This case study is suitable for business training programs at the master’s level, including Master of Business Administration and executive education. It is also appropriate for undergraduate students, particularly those who want to understand more about competitive business, strategic management and corporate strategy in developing economies. It is especially useful for students who have taken courses in strategic management, corporate strategy, marketing management and business expansion management. This case study is suitable for provoking skills of students such as critical and creative thinking, risk analysis and business planning.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 11: Strategy
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Adel Bessadok and Mustafa Hersi
The objective of this study is to investigate the key determinants affecting the acceptance and utilization of Blackboard as a Computer-Assisted Language Learning (CALL) platform…
Abstract
Purpose
The objective of this study is to investigate the key determinants affecting the acceptance and utilization of Blackboard as a Computer-Assisted Language Learning (CALL) platform among Saudi university students pursuing English as a foreign language (EFL) courses.
Design/methodology/approach
Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.
Findings
The study's findings indicate that performance expectancy, social influence, effort expectancy and price value significantly affect the attitudes of EFL students toward using CALL. The habit factor was the most robust predictor of behavioral intention and technology use, indicating that CALL usage can become automatic for students and improve their engagement in EFL learning. The study highlights the importance of providing better technical and organizational support to EFL students who want to use CALL more effectively. The theoretical and practical implications of the study's findings are thoroughly discussed.
Originality/value
Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the UTAUT2 by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.