Browsing by Author "Gilani, Sayed Abdul Majid"
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Item Adoption of Machine Learning by Rural Farms: A Systematic Review(Springer Science and Business Media Deutschland GmbH, 2024) Gilani, Sayed Abdul Majid; Tantry, Ansarullah; Askri, Soumaya; Gernal, Liza; Sergio, Rommel; Mataruna-Dos-Santos, Leonardo JoseMachine Learning (ML) has seen a major increase as a method to improve operations for businesses and consumers in different industries. It has been highlighted to enhance efficiency for businesses in product creation, product development, marketing, and customer experience. The purpose of this paper was to review worldwide studies investigating ML adoption by rural businesses to determine the level of ML adoption research conducted in the context of rural farms. A systematic literature review incorporating a Template Analysis (T.A.) was conducted to determine the level of research investigating drivers and barriers to ML adoption by rural enterprises. The reviewed studies were selected based on research purpose (investigating the take-up of innovations/technology by rural businesses), year of research (2000–2023), and inclusion of rural businesses in the studies. Additionally, the reviewed studies were analysed based on the year of each study, the geography of the study, the sector, and the size of businesses, including the level of location/rurality of included businesses and the degree of technology/innovation adoption by enterprises. The findings from the study highlight a research problem based on limited research investigating the adoption of ML by rural farms in several regions around the world. Additionally, the findings from the review highlight a lack of clarity on the relationship between the sector and the size of businesses and their adoption of ML. The significance of the highlighted findings is that there is scope for further research investigating the adoption of ML by smaller rural businesses, which may inform their survival and growth and may have wider implications for policymakers and practice. Therefore, encouraging future primary research focusing on ML adoption by rural farms in the regions under-represented in the literature. Additionally, the findings from this paper have policy, practical, and theoretical implications. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.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 “Dump the paper quiz”—The PERI model for exploring gamification in student learning in the United Arab Emirates(SAGE Publications Ltd, 2022-10) Yasin, Naveed; Gilani, Sayed Abdul Majid; Nair, GayatriThis paper explores the effects of gamification (a game-based student response system) on student learning in the United Arab Emirates (UAE). The data, collected through a series of semi-structured in-depth interviews with 32 learners, were analyzed using qualitative thematic analysis (i.e., template analysis). Based on an in-depth analysis of the data using NVIVO 10, the authors propose and apply the “PERI” model to develop multi-focal insights into gamification and its influences on student learning. The model proposed is original and comprehensive, encompassing (1) Preferabilities (P), (2) Experiences (E), (3) Recommendations (R), and (4) Impressions (I). Although most of the findings were positive with regard to application and receptivity across all dimensions of the PERI model for the gamification tool—a game-based student response system (GSRS) used for delivering education—they also reveal areas in need of development for the successful embedding of gamifying technology–enhanced learning provisions and their efficacy in teaching and learning pedagogy. The conclusions of this study outline implications for educators, students, education leaders, and gamification product developers. © The Author(s) 2021.Item 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 ‘Imitate or Incubate?’ Evaluating the Current State of University-Based Business Incubators in the United Arab Emirates(Sage Publications India Pvt. Ltd, 2022) Yasin, Naveed; Gilani, Sayed Abdul MajidAlthough there has been extensive research on business incubators (BIs) in the private sector, relatively little is known about university-based business incubators (UBIs) in the context of emerging markets such as the United Arab Emirates (UAE). This study explores the current state of UBIs in the UAE by analysing secondary and primary data obtained through desk-based research and qualitative semi-structured interviews with UBI managers, academics and support staff. Informed by this study comprising nine cases of UBIs in the UAE, the data were collected through Voice over Internet Protocol and telephone during March 2021–February 2022 during the COVID-19 pandemic. Based on the analysis of data using Template Analysis, the findings illustrate that UAE universities’ BIs are relatively young and characterized by eight key themes, which were identified as (a) attracting new students, (b) improving communication skills, (c) curriculum development, (d) extra-curricular development, (e) industry engagement, (f) innovation/spinoffs, (g) research skills and (h) strategic thinking. As per the UAE Vision 2031, UBIs will play a crucial role in innovation and entrepreneurship, and therefore there are implications for academics, entrepreneurs and policymakers. © 2022 Fortune Institute of International Business.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.