Journal of Digitovation and information system

Digital Knowledge and Innovativeness: Catalysts for Digital Entrepreneurship Success in Taiwan Architecture and Interior Design Industries

Hung-xin Li — 2023-06-19

This study examines the relationship between digital knowledge, innovativeness, and digital entrepreneurship success among entrepreneurs in Taiwan's architecture and interior design industries. The study’s objectives are to develop a resource-based and dynamic capability theory, assess the effectiveness of digital entrepreneurship, and investigate Taiwanese entrepreneurs in the specified sectors. An online survey was conducted with 218 entrepreneurs of architecture and interior design firms in Taiwan. Structural equation modeling (SEM) analysis revealed that a focus on digitalization positively influences innovativeness. Furthermore, the study found significant associations between digital capability, digital orientation, digital literacy, and the success of digital entrepreneurs. The findings emphasize the importance of continuous learning and strategic planning in online business entrepreneurship. Theoretical insights from the study contribute to a deeper understanding of innovativeness in the architecture and interior design industries. Future research can explore various forms of innovativeness to support entrepreneurial success. The study concludes with important implications for policy, recommendations for further research, and practical implications for entrepreneurs in the field.

Antecedents of Human Resource Information System Adoption: A Qualitative Study in French Context

Mohamed Nassim Bensaid — 2023-06-30

This study delves into the facilitators of effective Human Resource Information System (HRIS) adoption, emphasizing vital elements while investigating the role of technological, organizational, and social factors in the adoption process. The research employs a qualitative approach, amalgamating in-depth interviews and surveys with HR professionals and employees of a company specializing in electrical and digital building infrastructures. The study identifies pervasive patterns and themes about adoption antecedents through thematic analysis of collected data. The findings underscore the critical importance of these factors in fostering the successful integration of an HRIS. Comprehensive training initiatives that empower employees to navigate the new system confidently emerge as indispensable. Moreover, sustained support and guidance from HR experts and management assume a pivotal role in surmounting challenges, addressing concerns, and nurturing user acceptance throughout the pre-and post-implementation phases.

Navigating the Digital Landscape: Exploring the Interplay of Digital Leadership, E-Learning Anxiety, and Innovative Behavior

Abdul Salam — 2023-06-05

This study investigates the associations between digital leadership, e-learning anxiety, innovative work behavior, and psychological capital among 200 IT employees in Lisbon, Portugal. Self-administered surveys were used to collect data, and structural equation modeling was employed for data analysis. The results demonstrate that digital leadership has a positive direct impact on innovative work behavior, while e-learning anxiety has a negative direct impact on innovative work behavior. Moreover, psychological capital plays a moderating role in the relationship between e-learning anxiety and innovative work behavior. Individuals with higher levels of psychological capital are less affected by e-learning anxiety and more likely to engage in innovative work behavior. These findings emphasize the significance of digital leadership and psychological capital in promoting innovative work behavior, particularly in the context of e-learning anxiety among IT employees. The study suggests that organizations should prioritize the development of digital leadership skills and support the positive psychological resources of their employees to enhance their ability to cope with challenges and achieve their objectives.

Influence of poverty on digital education in Uganda’s rural secondary schools: reference to covid-19 lockdown: a case study of Kayunga District in Uganda.

Namugalu Beatrice — 2023-06-20

This study explored the impact of poverty on digital learning, examined the role of parents’ income in the success of digital education in rural schools, and provided suggestions to improve teaching and learning using digital facilities in times of pandemic in rural schools. Uganda’s rural schools lack enough facilities to support the online school system. And there is a lack of in-depth analysis of poverty's influence on digital education. This study used cross-sectional survey data utilizing quantitative and qualitative research approaches. The findings revealed that rural schools in Uganda do not receive efficient digital education where parents and guardians of the school-going children cannot afford the financial costs of the digital devices that could support children’s home digital learning. Parents' income plays an influential role in the digital education of their children. 38.7% of the parents are farmers, and 6.3% of parents are not employed at all. Over 22% of students revealed that their parents supported more than four school-going children. There is a need for governments, institutions and local communities to develop a technological infrastructure for digital learning and develop new curriculums which can support virtual classrooms. Areas that emerged for further research: The situation of digital education in semi-urban Uganda.

Exploring Technostress in Video Medical Consultation: A Study of Private Doctors in South European Countries

Batjar Halili — 2023-06-01

This study investigates the factors contributing to technostress in the context of video medical consultations among private doctors offering this service in south European countries. The study focuses on technical support, information availability, social support, social presence, work overload, and role ambiguity in video consultations. The conceptual framework is based on the person-environmental fit theory and theory of planned behavior. Using structural equation modeling (SEM), data from a cross-sectional field survey of 330 private doctors in southern Europe were analyzed. The results indicate that technical support has a positive impact on reducing workload and role ambiguity in video consultations. This study adds to the existing literature on technostress among private doctors in South Europe and contributes unique insights by integrating two prominent theories. The findings have important implications for administration, practitioners, and policymakers in terms of policy development and implementation. Future research should aim to include a diverse sample of doctors to enhance participation and explore the influence of various factors such as backgrounds, fellowship areas, genders, beliefs, and experience levels. The study concludes with policy recommendations, suggestions for further research, and implications for theory and practice.

Perceived Challenges and Benefits of AI Implementation in Customer Relationship Management Systems

Camilia Mazingue — 2023-06-10

This study explores the multifaceted implications of Artificial Intelligence (AI) implementation in Customer Relationship Management (CRM) systems. The research is broken down into distinct variables, each representing a unique aspect of the study. These variables include Assistance, Automation, Personalization, Customer Service Improvement, and Decision-making. Assistance refers to how AI can aid human workers by providing suggestions, automating repetitive tasks, or helping to sift through large amounts of data. Automation discusses the use of AI to perform tasks with minimal human intervention, thereby increasing efficiency. Personalization examines how AI can use data to tailor services or products to the individual needs and preferences of each customer. Customer Service Improvement refers to the use of AI to enhance customer service, for example, by improving response times, accuracy, or personalization. Lastly, Decision-making explores how AI can assist in decision-making by analyzing large amounts of data and providing insights or recommendations. The research employs a systematic and iterative coding process, identifying 'meaning units' from interview transcriptions and grouping these into 'sub-dimensions' based on shared meaning or context. This process has resulted in 33 distinct sub-dimensions that encapsulate the key themes or concepts emerging from the data. In essence, this paper serves as a comprehensive guide to understanding the key elements that have been explored in this study, providing a clear and concise summary of the findings related to each particular area. It is instrumental in providing a holistic view of the research, allowing readers to quickly grasp the breadth and depth of the study.

Digital Orientation and Digital Innovation Performance in Moroccan IT Workers: A Moderated Mediated Analysis

Malika Ait Nasser — 2023-06-27

This study investigates the links between digital orientation, digital dynamic capacities, and digital innovation performance, while also examining the moderating effects of knowledge sharing and knowledge hiding among Moroccan IT workers. Drawing on the knowledge-based view and dynamic capability theory, the study utilizes a cross-sectional quantitative design and involves a sample of 350 employees from Casablanca, Morocco. Data analysis is conducted using Smart PLS for measurement and hypothesis testing. The results reveal that knowledge sharing moderates the positive relationship between digital orientation, digital dynamic capabilities, and digital innovation performance. Conversely, knowledge hiding negatively moderates the relationship between digital innovation performance and digital dynamic capacities. This study contributes to the development of a knowledge-based perspective and dynamic capability theory, offering practical implications for businesses and IT professionals seeking to enhance their digital competencies in a rapidly evolving digital environment. To gainqa a more comprehensive understanding of the factors influencing digital innovation performance, future research should address the limitations of this study, including its cross-sectional and quantitative nature, as well as its focus on IT workers from Casablanca, Morocco. Future studies may employ longitudinal and qualitative methods and explore the moderating impact of other variables.

Sustainable Banking through Robotic Process Automation: What Role does ESG and Cognitive AI play?

Olivia JOSEPH — 2023-06-26

This study explores the factors for implementing Robotic Process Automation (RPA) solutions that contribute to the advancement of sustainable banking. The banking industry faces the dual challenge of maximizing operational efficiency while embracing environmental responsibility to align with long-term sustainability objectives in an era of technological advancements and intelligent tools. Employing a qualitative research approach, this study leverages a prominent French bank case study supplemented by semi-structured interviews with bank personnel. Drawing insights from an extensive literature review and interview responses, the findings uncover three factors (Cognitive AI, Environmental, Social, and Governance (ESG) objectives, difficulty of implementing the RPA solution) critical for effectively implementing sustainable RPA within the banking sector. The findings of this research offer practical insights and relevant solutions for promoting sustainability within the banking sector while harnessing the potential of robotic process automation.

Exploring Digital Leadership, Technology Integration, and Teacher Task Performance in Higher Education Institutions: A Moderated-Mediation Study

Saqib Mehmood — 2023-06-15

This study investigates digital leadership and teacher task performance in Pakistani higher education institutions, employing the planned behavior theory and a moderated-mediation model of technology integration, digital literacy, and digital engagement. A cross-sectional field survey was conducted, involving 390 teachers from diverse backgrounds employed by higher education institutes in Pakistan. Structural equation modeling (SEM) analysis revealed that perceived digital leadership positively influenced teachers' technological integration. The results further demonstrated the relationship between teachers' digital literacy, their use of technology as a moderator, their perception of digital leadership, task performance, and online engagement. Instructors' effective utilization of available media and technologies to achieve educational objectives emerges as a crucial factor. Future research should delve deeper into understanding the causes and effects of technology integration to address the complexities surrounding teachers' digital engagement.