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                <text>Challenges of online learning of English/French language in higher education in Ghana.</text>
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                <text>This study investigated the challenges that learners of English and French encountered during their participation in online language learning in a university in Ghana. The study adopted a quantitative survey approach by administering online questionnaire to undergraduate students at the university and analysing the data using descriptive statistics.150 students participated in the study. The results indicate that majority of the students generally feel that online language learning is bedeviled with a lot of challenges, notably technology availability, accessibility, and affordability, as well as the lack of capacity on the part of language instructors to effectively deliver in their online teaching activities. The study further discusses students' opinions and experiences with the objective of determining the prospects of online language learning within the Ghanaian tertiary education context. Based on the findings, some pragmatic pedagogical measures like migrating teaching and</text>
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                <text>Journal of Language and Linguistic Studies. Hacettepe Universitesi, Egitim Fakultesi B Blok, Yabanci Diller Egitimi Bolumu, Ingiliz Dili Egitimi Anabilim Dali, Ankara 06800, Turkey</text>
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                <text>The Role of Ai in Facilitating Supplier Collaboration and Enhancing Supply Chain Performance</text>
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                <text>This study examines the role of artificial intelligence (AI) in enhancing supply chain performance through improved supplier collaboration in West Africa. It explores how AI technologies optimize supplier interactions and overall supply chain efficiency, integrating Transaction Cost Economics (TCE) and Resource-Based View (RBV) theories. TCE highlights AI's ability to reduce transaction costs and uncertainties, while RBV emphasizes AI's role in resource allocation and logistics optimization. A quantitative approach with a correlational research design is used, complemented by qualitative insights from interviews and surveys. The sample includes 250 suppliers involved in collaborative supply chain initiatives utilizing AI technologies. Structural Equation Modeling (SEM) analyzes the data, revealing significant relationships between AI-driven communication tools, automation in collaboration processes, real-time data sharing, supplier network integration, and supply chain performance. The findings underscore AI's substantial impact on supply chain performance metrics. AI-driven communication tools, automation, and real-time data sharing capabilities are significant predictors of supply chain performance. Supplier network integration shows a strong positive relationship with supply chain performance, indicating its critical role in enhancing efficiency. Recommendations include adopting AI-driven communication tools and automation to streamline supplier interactions and optimize operations. Investing in real-time data sharing capabilities and fostering supplier network integration is essential for sustainable supply chain improvements. This study …</text>
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                <text>An Exploration of Experiences and Determinants of Blended Learning Adoption Among Students in Higher Education Institutions: A Case Study of Ghana Technology University</text>
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                <text>Ahmed Antiwi-Boampong, Lene Sørensen</text>
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                <text>This paper presents the experiences and determinants of blended learning adoption among students in a higher education institution in Ghana. As students are increasingly being exposed to teaching and learning deliveries in which both traditional classroom and online methods are employed to deliver instructional content through blended learning (BL), the indications are that blended courses offer them convenience and flexibility that face to face delivery alone may not. However, while both classroom-based and fully online instruction are well understood, little is known about the students' BL experience. This paper uses the blended learning initiative at the Ghana Technology University College (GTUC) as a case study to investigate the perception of blended learning adoption among students. The population comprised of 57 students who participated in a BL course at the Faculty of Computing and Information …</text>
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                <text>Towards an Institutional Blended Learning Adoption Model for Higher Education Institutions</text>
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                <text>Antwi-Boampong Ahmed, Anthony Junior Bokolo</text>
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                <text>There has been considerable interest in Blended learning (BL) and how it is transforming teaching and learning in higher education institutions. Research in this area is focused on course level issues in relation to how students and faculty members interact and adopt blended learning, with very limited focus on institutional adoption. There is the need for more institutional adoption research to guide how higher education institutions shape policies as they transition from the traditional face to face delivery model to fully blended universities. This study adopts a grounded theory methodology to investigate institutional BL adoption initiatives. A public university in Ghana, which is in its early/adoption implementation stage, is selected as a case study and analysed using the constant comparative analytical technique. The university management took a decision in 2013 to transition from face to face delivery to a fully adopted blended learning approach. The university subsequently adopted a BL policy which, among other things, directed faculty members to teach courses via a mix of face to face and online using a Moodle Learning Management System (LMS). Findings from this study present the identified factors that influence and impact the adoption of BL program in institutions. Findings from this study suggest that institutional decision to adopt or reject BL is influenced by the level of the institutional desire to adopt blended learning and the level of the institution’s intention to adopt blended. The outcome of the findings is developed into an institutional adoption model to guide managers of institutions intending to transition to BL delivery model.</text>
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                <text>Transitioning into Fully Blended Learning: A Model for Faculty Blended Learning Adoption</text>
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                <text>Ahmed Antwi-Boampong</text>
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                <text>Higher education institutions the world over is turning to Blended Learning (BL) as the preferred teaching and learning delivery approach. However, to attain campus-wide adoption requires an understanding of the influencing factors that motivate academics towards teaching in BL mode. Given this context, this paper presents findings from a qualitative study that investigates the lived experiences of academics as they adopt BL for teaching and learning in a Ghanaian university. Adopting a Grounded Theory as the methodology for this research within a sequential qualitative research design, data was collected from multiple sources. Primary data was obtained from in-depth interviews of 22 academics carried out to understand how they construct and navigate the BL teaching experiences. Secondary data was obtained from policy documents, faculty training signing sheets and Learning Management Systems (LMS) activity logs. The data was analysed using the constant comparative method and thematic analysis and triangulated to organize the themes and concepts for the proposed model. The outcome of the analytical process is theorized into an adoption model and grounded in the literature. The findings of the research provide very useful and practical model for administrators to stimulate Faculty motivation as they embark on BL implementation. The model indicates that external and internal environmental factors stimulate Faculty motivation to make a choice regarding the teaching modalities they prefer. It posits that as Faculty members begin to implement teaching process using technology, they become sensitized and begin to internalize the …</text>
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                <text>FACTORS INFLUENCING EMPLOYEES'INTENTION TO PARTICIPATE IN A BRING YOUR OWN DEVICE IN THE PORT SUPPLY CHAIN NETWORK: A CORRELATIONAL STUDY USING UTAUT2 THEORETICAL</text>
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                <text>DAVID KING BOISON, AHMED2AUGUSTINE ANTWI-BOAMPONG, DOUMBIA BLAY, MUSAH OSUMANU4 ASIEDU ESTHER, KWAME OWIREDU SARBENG</text>
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                <text>The study aimed to assess the factors that influenced port users' willingness to participate in BYOD programs in Ghana's Maritime and Port sector. The extended Unified Theory of Acceptance and Use of Technology (UTAUT2) was used as the theoretical framework for the quasi-quantitative study. The study examined whether eight factors were predictors of the intention of Ghanaian employees to participate in a BYOD program, moderated by social influence. The study used principal component analysis (PCA) in SPSS and structural equation modeling in Stata to analyze and report the data. The results showed that only three factors, namely Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Conditions (FC), and HT, significantly influenced employees' behavioral intention (BI) to participate in a BYOD program, while Social Influence (SI), Hedonic Motivation (HM), and Price Value (PV) had no effect on Behavioral Intention (BI). Age did not moderate the influence of any factor on BI. The study provides insights into the port supply chain network's usage of BYOD and will aid academics in explaining the discrepancies between the UTAUT2 theoretical framework's predictions for different industries and specialties. The study's findings will also be useful for researchers who aim to implement the UTAUT2 theoretical framework to understand employees' BI to join the BYOD program in any industry. From a practical perspective, the study will assist managers in the port business in Ghana and the sub-region in focusing on the important structures that constitute the initial steps to introducing BYOD in the port supply chain industry.</text>
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                <text>Strategies for Institutionalizing Blended Learning in Higher Education Institutions: A Case Study of a Ghanaian Public University</text>
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                <text>This paper presents strategies adopted by a higher education institution towards the implementation of its BL policy framework. It does so by reviewing the BL implementation process of a public university in Ghana, noting that there are barriers that have impeded the uptake of blended learning, for which reasons it examines the strategies that can be implemented to overcome these barriers. The insights are drawn from a case study involving qualitative approaches, utilizing interviews with stakeholders in the public university. The paper examines the question: How do educational institutions employ Blended Learning (BL) strategies that contribute to the transformation of the university? Using an inductive approach, the researcher interviewed twenty-two management staff and used Strauss and Corbin’s constant comparative method as the analytical technique to analyze the data. This paper develops an institutional strategy framework that can be used by managers in higher education to facilitate change processes, overcome faculty resistance, and embed blended learning in institutions. The seven constructs of this strategic framework consist of institutional vision and approach, promotion and planning, integrated infrastructure, motivation and encouragement, training, assessment and evaluation and sanctions.</text>
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                <text>Exploring the Determinants of Employee Intentions to Participate in a BYOD Program in Ghana: The Mediating Role of Habit</text>
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                <text>This study investigates the factors influencing employees' intentions to enroll in a Bring Your Own Device (BYOD) program in Ghana, with a specific focus on the mediating role of habit. The purpose of this research is to assess the role of habit. The research design involves a random sample of 250 employees from Ghanaian organizations, who completed an online survey assessing their attitudes and perceptions towards BYOD adoption. Structural equation modeling (SEM) is utilized to test the research hypotheses and analyze the relationships between variables, including the mediating role of habit. The key findings indicate that Performance Expectancy, Effort Expectancy, and Hedonic Motivation are significantly related to the adoption of BYOD. Moreover, habit is found to mediate the relationships between these factors and employees' Behavioral Intentions (BI) to adopt BYOD. The results highlight the importance of considering habit factors in understanding employees' intentions and behaviors regarding BYOD adoption. Based on the findings, recommendations are provided for organizations to promote the hedonic aspects and costsaving benefits of BYOD, establish clear policies addressing security concerns, and foster positive habitual behaviors among employees. These recommendations aim to enhance the adoption of BYOD programs and optimize the benefits while mitigating the challenges associated with BYOD adoption. The study has implications for both theory and practice. It contributes to the existing literature on BYOD adoption by addressing the mediating role of habit, filling a research gap in this area. The findings provide …</text>
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                <text>This study evaluates AI ’s effectiveness in boosting real-time decision-making and supply chain agility in West African ports. Utilizing Structural Equation Modeling ( SEM ), data from 250 supply chain experts across several countries, including Ghana and Nigeria, were analyzed. Results indicate significant enhancements in supply chain agility, particularly through improved data processing speed, system integration, prediction accuracy, and user interface quality, with the latter having the most substantial impact. The study underscores the importance of user-friendly AI systems, supported by Dynamic Capabilities Theory, which facilitates organizational adaptability to market changes. Recommendations focus on developing AI systems with robust user interfaces and ensuring seamless integration with existing IT infrastructures. This …</text>
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