ItemDigitally transforming organisational cultures: Ensuring enhanced innovation in a remote working world(Academic Conferences International Limited, 2022-09-07) Treacy, Stephen; Sklias , Pantelis; Apostolopoulos, NikolaosThe Covid-19 pandemic has brought with it dramatic environmental changes, forcing organisations to adopt digital technologies on a wider scale, under significant time pressure. While the pandemic tested the agility and resilience of organisations, team dynamics and the implications of virtualisation on collaboration and creativity have become increasingly important for research (George et al., 2020) as the daily working routines in which employees have been embedded in for decades have become disrupted. The abrupt move to “working from home” that the pandemic created is arguably the most significant organisational design change in our lifetimes. Organisations are now asking how the virtualisation of work has impacted on the collaboration and communication necessary for driving innovation behaviour, and what strategies are available to develop remote innovation solutions. In this study, we explore organisational culture theory against the backdrop of digitally transforming innovation development as a result of the Covid-19 pandemic. This multi-layered model offers a useful framework for thinking about processes that foster innovation. By doing so, we investigate how organisations have adapted their approach to remote, collaborative innovation from the perspective of nineteen industry experts. The purpose of this study is to present the determinants of organisational culture to develop digital innovation in a hybrid working environment. Our findings reveal twelve distinct variables across the artifacts, values, and assumptions required to ensure digital innovation. These findings have implications for theory and practice, as it provides organisational leaders with a strategic understanding as to how a remote innovative culture can be developed, and subsequently exploited. ItemCultural impact on entrepreneurial expectations(Würzburg International Business Press, 2022) Brandt, Tiina; Wanasika, Isaac; Dubickis, Mikus; Treacy, Stephen; Pihlajarinne, Hanna; Acocella, Rocco; Militaru, Andreea; Bakker, Diederich; Liu, J.; Liu, Rong; Tsuzuki, Yukie; Vo, Thu; Akcaoglu, Emin; Wehner, RainerThe purpose of this study is to evaluate qualities that are needed for effective entrepreneurship in a variety of national cultures. The sample represents 731 business students from several countries from Asia, Baltics, USA, Nordic, Middle, South and East Europe. College students completed a questionnaire that identified qualities they would need to start their own entrepreneurial business. Results indicated statistically significant entrepreneurial qualities between cultures. Starting a business in a specific cultural environment requires unique entrepreneurial qualities. Our results also found support for universally endorsed entrepreneurial qualities. Country-specific strategies for enhancing entrepreneurship are discussed at the end of the paper. ItemInnovativeness, entrepreneurial tendencies and cultural differences(Würzburg International Business Press, 2022) Brandt, Tiina; Wanasika, Isaac; Dubickis, Mikus; Treacy, Stephen; Pihlajarinne, Hanna; Acocella, Rocco; Militaru, Andreea; Bakker, Diederich; Liu, J.; Liu, Rong; Tsuzuki, Yukie; Vo, Thu; Akcaoglu, Emin; Wehner, RainerThe purpose of this study was to explore innovativeness and entrepreneurial tendencies among different national cultures. A survey instrument was administered on a sample of 731 business students from several countries in Asian, Baltic, USA, Nordic and Middle, South and East European countries. Respondents completed the questionnaire which focused on innovativeness and proactiveness as well as entrepreneurial risk-taking, growth and intention to start a business. Results indicated various statistically significant differences between cultures. The paper highlights country specific strategies for enhancing entrepreneurship. ItemA roadmap to Artificial Intelligence: Navigating core impacts to successfully transform organisations(Academic Conferences International Limited, 2022-11-17) Treacy, StephenArtificial Intelligence (AI) is a highly disruptive technology that will have major effects on the business world over the coming years. It has the potential to allow companies to achieve major efficiency gains and a more productive workforce through automating existing processes, providing deeper levels of analytics, providing better customer support, and increasing security. On the other hand, it may lead to lower staff levels and a drop in existing employee morale. Given the complexities of these projects, AI will only benefit organisations if they understand its capabilities in addition to its shortcomings. This investigation addresses the predicted impact on skills, roles and employee morale of artificial intelligence on the workforce of the future as AI continues to become more prevalent in our society. We investigate these impacts of AI specifically across four key industries by engaging in interviews with experts in the field to answer two research questions: (i) What are the core impacts of introducing AI systems in the workplace?, and; (ii) How can organisations develop AI projects for successful transformation? The inclusion strategy for this research were professionals who were highly knowledgeable in the area, and from our findings we were able to identify several impacts that AI made to companies developing these projects; namely employment levels, workforce morale, and process efficiency. With these insights, we subsequently developed a roadmap which contains the recommended steps and decisions that are necessary for successfully introducing AI to an organisation. This roadmap visualises the key decisions and steps that are critical for any AI based initiative for organisations, which will provide practitioners with a higher level of understanding of what is expected, in addition to enabling more effective collaboration with the system developers. Furthermore, this roadmap allows organisations to take a positive and proactive approach to designing these systems with their workforce in mind and to prepares them for the implications with the development, deployment, and use of these AI systems. ItemA triple bottom-line typology of technical debt: Supporting decision-making in cross-functional teams(University of Hawai'i at Manoa, 2022-01-04) Greville, Mark; O'Raghallaigh, Paidi; McCarthy, StephenTechnical Debt (TD) is a widely discussed metaphor in IT practice focused on increased short-term benefit in exchange for long-term ‘debt’. While it is primarily individuals or groups inside IT departments who make the decisions to take on TD, we find that the effects of TD stretch across the entire organisation. Decisions to take on TD should therefore concern a wider group. However, business leaders have traditionally lacked awareness of the effects of what they perceive to be ‘technology decisions’. To facilitate TD as group-based decision-making, we review existing literature to develop a typology of the wider impacts of TD. The goal is to help technologists, non-technologists, and academics have a broader and shared understanding of TD and to facilitate more participatory and transparent technology-related decision making. We extend the typology to include a wider ‘outside in’ perspective and conclude by suggesting areas for further research.