Creative Industries and Entrepreneurship
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Browsing Creative Industries and Entrepreneurship by Author "Gilani, Sayed Abdul Majid"
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Item Assessing the Current State of University-based Business Incubators (UBIS) in Canada and the UAE(Academic Conferences and Publishing International Limited, 2022) Yasin, Naveed; Gilani, Sayed Abdul MajidItem Establishing a nexus for effective university-industry collaborations in the MENA region: A multi-country comparative study(SAGE Publications Ltd, 2023-12) Yasin, Naveed; Gilani, Sayed Abdul Majid; Nair, Gayatri; Abaido, Ghada M.; Askri, SoumayaThis paper explores the nexus between University-Industry Collaborations (UIC) in the Middle East and North Africa (MENA) region informed by a multiple-country-case study design. This study aims to explore the motives, opportunities and challenges, and propose effective practices in the MENA region context. Based on qualitative data retrieved through a series of 72 semi-structured interviews with university stakeholders (i.e., faculty, directors of corporate training, administrative staff, gatekeepers, company representatives and liaisons) conducted from March 2021 to September 2022. The sample was determined by a criterion sampling approach that enabled the development of cases from five countries in the MENA region (United Arab Emirates, Egypt, Algeria, Tunisia, and Morocco) with each country sample comprising five university cases on average. This study was designed on a Multiple Case Study Research Design Approach (Yin, 2013) and this was supplemented by Template Analysis (a form of thematic analysis), and to incorporate the cross-national comparative dimension, Yasin and Hafeez (2022) approaches were adopted. The findings illustrate a wide range of motives, challenges, opportunities, and effective factors that are linked to varying objectives such as (1) the vision and ownership structures, (2) the stakeholder connections of universities (3) the brand reputation of the university provider (4) the perception and ranking of universities as well as (5) approaches undertaken by the University representative to negotiate the expectations of live projects. As a result, a contextualized framework is proposed in this study as the “five [essential] keys” for successful collaborations for the nexus between university and industry collaborations. The originality of this study is inherent in the qualitative cases and contextualized influences in non-westernized countries that are empirically under-explored, as well as the five keys framework that is useful from a theoretical and practical standpoint for academics, policymakers, and university leadership. © The Author(s) 2023.Item Savior or Distraction for Survival: Examining the Applicability of Machine Learning for Rural Family Farms in the United Arab Emirates(MDPI, 2023-02) Gilani, Sayed Abdul Majid; Copiaco, Abigail; Gernal, Liza; Yasin, Naveed; Nair, Gayatri; Anwar, ImranMachine learning (ML) has seen a substantial increase in its role in improving operations for staff and customers in different industries. However, there appears to be a somewhat limited adoption of ML by farm businesses, highlighted by a review of the literature investigating innovative behaviors by rural businesses. A review of the literature identified a dearth of studies investigating ML adoption by farm businesses in rural regions of the United Arab Emirates (UAE), especially in the context of family-owned farms. Therefore, this paper aims to investigate the drivers and barriers to ML adoption by family/non-family-owned farms in rural UAE. The key research questions are (1) what are the drivers and barriers for rural UAE farms adopting ML? As well as (2) is there a difference in the drivers and barriers between family and non-family-owned farms? Twenty semi-structured interviews were conducted with farm businesses across several rural regions in the UAE. Then, through a Template Analysis (TA), drivers and barriers for rural UAE-based farm owners adopting ML were identified. Interview findings highlighted that farms could benefit from adopting ML in daily operations to save costs and improve efficiency. However, 16 of 20 farms were unaware of the benefits related to ML due to access issues (highlighted by 12 farms) in incorporating ML operations, where they felt that incorporating ML into their operations was costly (identified by 8 farms). It was also identified that non-family-owned farms were more likely to take up ML, which was attributed to local culture influencing family farms (11 farms identified culture as a barrier). This study makes a theoretical contribution by proposing the Machine Learning Adoption Framework (MLAF). In terms of practical implications, this study proposes an ML program specifically targeting the needs of farm owners in rural UAE. Policy-based implications are addressed by the findings aligning with the United Nations’ Sustainability Development Goals 9 (Industry, Innovation, and Infrastructure) and 11 (Sustainable Cities and Communities). © 2023 by the authors.Item Simulation-based learning in business and entrepreneurship in higher education: A review of the games available(Springer International Publishing, 2022-03-17) Yasin, Naveed; Gilani, Sayed Abdul Majid; Contu, Davide; Fayaz, Mohammad JabarSimulation games in enterprise education are expected to foster the learning experience of the students whilst powering the teaching capabilities of instructors, becoming an additional asset among learning technologies that are more traditionally available. However, research in this area is under-developed, leaving practitioners with limited information with regards to the options available for the implementation of such games. In this chapter, we attempt to help bridge this gap by conducting a review of the existing entrepreneurship gaming landscape. Furthermore, this chapter investigates whether the entrepreneurship games identified appear to have been adopted in higher education and in enterprise education. The Implications for practitioners are also discussed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022. All rights reserved.