School of Management

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This community includes articles, book chapters, and conferences published by the School of Management faculty members.

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1BThe Application of Strategic Foresight in Women's Entrepreneurship Development
(Institute of Economic Sciences, 2023) Salamzadeh, Aidin; Rezaei, Haniye; Hadizadeh, Morteza; Yasin, Naveed; Ansari, Golnoush
Strategic vision guides governments and societies to overcome gender biases to extol entrepreneurship and achieve targeted business performance. In order to change women's entrepreneurship in societies, strategic foresight is one of the most important resources to be utilized. Strategic foresight offers relevant solutions to these changes for achieving socio-economic benefits and creating sustainable value. Although several studies have been conducted on women's entrepreneurship, identification of its influential factors, and their effect, none has yet studied how strategic foresight can play a role in developing women's entrepreneurship in different countries. Therefore, this study aims to explore the relationship between strategic foresight and female entrepreneurship. The purpose of this study is to examine the link between women's entrepreneurship and strategic foresight capabilities by reviewing relevant literature and background theories. The dimensions of the framework were verified quantitatively using a Delphi research process, SPSS software, and analysis of the gathered questionnaires. The results show that strategic foresight significantly affects women's entrepreneurship through business sustainability. © 2023, Institute of Economic Sciences. All rights reserved.
A Comparison of Ethical Perceptions of Business Students in MENA (No Full text)
(Springer Nature, 2024) Jooste, Leonie
A Comprehensive Review on Big Data Challenges
(Institute of Electrical and Electronics Engineers Inc., 2023) Bharany, Salil; Taleb, Nasser; Sadiq, M. Tariq; Kanwal, Nayab; Abdelhakim, Mohamed; Ghazal, Taher M.; Pradhan, Manas; Rehman, Ateeq Ur
A Proposed Architecture for Traffic Monitoring Control System via LiFi Technology in Smart Homes
(Institute of Electrical and Electronics Engineers Inc., 2022) Asif, Muhammad; Khan, Tahir Abbas; Taleb, Nasser; Said, Raed A.; Siddiqui, Shahan Yamin; Batool, Ghanwa
A Roadmap for SMEs to Adopt an AI Based Cyber Threat Intelligence
(Springer Science and Business Media Deutschland GmbH, 2023) Varma, Abhilash J.; Taleb, Nasser; Said, Raed A.; Ghazal, Taher M.; Ahmad, Munir; Alzoubi, Haitham M.; Alshurideh, Muhammad
Cybersecurity has started to become the most significant concern among organizations as the number of threats and criminal activities in the past decade has increased exponentially. Cybercriminals and their attacking techniques have become increasingly sophisticated over the past couple of years. Conventional security measures will no longer be able to detect and mitigate the propagation of such advanced attacking trends. More and more hackers have started focusing on Small and medium-sized enterprises (SMEs) taking advantage of their limited resources. Therefore, SMEs will have to quickly adopt Artificial Intelligence (AI) based cybersecurity system in their infrastructure to defend themselves effectively and efficiently. It is currently forecasted that by 2021, 75% of all organizations will use AI and Machine learning (ML) applications in their security architecture to protect against all cyber threats. In this paper, the researchers identify the various challenges faced by SMEs in adopting an AI based cybersecurity due to their knowledge gap and lack of expertise. The researcher intends to provide a good background on AI, Cyber Threat Intelligence (CTI) and highlight some of the significant benefits provided by an AI based CTI system. A simple roadmap is developed using a qualitative research methodology to help SMEs effectively implement an AI based Cyber Threat Intelligent system in their infrastructure. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Abu Dhabi Ports' Horns of Hope: A Global Initiative During COVID-19
(Case Centre UK, 2022) Gernal, Liza; Reyes, Fernando Eraña; Sergio, Rommel
This case study highlights Abu Dhabi Ports' corporate social responsibility (CSR) efforts. It features into the organization's best practices, work methodologies, and sound tactical approaches in responding to the changes and challenges of the COVID-19 pandemic, which has paralyzed several parts of the economy across the world. The case examines how Abu Dhabi Ports demonstrated corporate social responsibility and commitment to its people. It also notes the achievements of the organization, particularly the awards it received in recognition of its people management solutions.
Adaptively Intelligent Meta-search Engine with Minimum Edit Distance
(Institute of Electrical and Electronics Engineers Inc., 2022) Kanwal, Asma; Septyanto, Arif Wicaksono; Muhammad, Muhammad Hassan Ghulam; Said, Raed A.; Farrukh, Muhammad; Ibrahim, Muhammad
Addressing climate change with behavioral science: A global intervention tournament in 63 countries
(American Association for the Advancement of Science, 2024-02-09) Vlasceanu, Madalina; Doell, Kimberly C.; Bak-Coleman, Joseph B.; Todorova, Boryana; Berkebile-Weinberg, Michael M.; Grayson, Samantha J.; Patel, Yash; Goldwert, Danielle; Pei, Yifei; Chakroff, Alek; Pronizius, Ekaterina; van den Broek, Karlijn L.; Vlasceanu, Denisa; Constantino, Sara; Morais, Michael J.; Schumann, Philipp; Rathje, Steve; Fang, Ke; Aglioti, Salvatore Maria; Alfano, Mark; Alvarado-Yepez, Andy J.; Andersen, Angélica; Anseel, Frederik; Apps, Matthew A J; Asadli, Chillar; Awuor, Fonda Jane; Azevedo, Flavio; Basaglia, Piero; Bélanger, Jocelyn J.; Berger, Sebastian; Bertin, Paul; Białek, Michał; Bialobrzeska, Olga; Blaya-Burgo, Michelle; Bleize, Daniëlle N M; Bø, Simen; Boecker, Lea; Boggio, Paulo S.; Borau, Sylvie; Bos, Björn; Bouguettaya, Ayoub; Brauer, Markus; Brick, Cameron; Brik, Tymofii; Briker, Roman; Brosch, Tobias; Buchel, Ondrej; Buonauro, Daniel; Butalia, Radhika; Carvacho, Héctor; Chamberlain, Sarah A E; Chan, Hang-Yee; Chow, Dawn; Chung, Dongil; Cian, Luca; Cohen-Eick, Noa; Contreras-Huerta, Luis Sebastian; Contu, Davide; Cristea, Vladimir; Cutler, Jo; D'Ottone, Silvana; De Keersmaecker, Jonas; Delcourt, Sarah; Delouvée, Sylvain; Diel, Kathi; Douglas, Benjamin D.; Drupp, Moritz A.; Dubey, Shreya; Ekmanis, Jānis; Elbaek, Christian T.; Elsherif, Mahmoud; Engelhard, Iris M.; Escher, Yannik A.; Etienne, Tom W.; Farage, Laura; Farias, Ana Rita; Feuerriegel, Stefan; Feuerriegel, Stefan; Findor, Andrej; Freira, Lucia; Friese, Malte; Gains, Neil Philip; Gallyamova, Albina; Geiger, Sandra J.; Genschow, Oliver; Gjoneska, Biljana; Gkinopoulos, Theofilos; Goldberg, Beth; Goldenberg, Amit; Gradidge, Sarah; Grassini, Simone; Gray, Kurt; Grelle, Sonja; Griffin, Siobhán M.; Grigoryan, Lusine; Grigoryan, Ani; Grigoryev, Dmitry; Gruber, June; Guilaran, Johnrev; Hadar, Britt; Hahnel, Ulf J J; Halperin, Eran; Harvey, Annelie J.; Haugestad, Christian A P; Herman, Aleksandra M.; Hershfield, Hal E.; Himichi, Toshiyuki; Hine, Donald W.; Hofmann, Wilhelm; Howe, Lauren; Huaman-Chulluncuy, Enma T.; Huang, Guanxiong; Ishii, Tatsunori; Ito, Ayahito; Jia, Fanli; Jost, John T.; Jovanović, Veljko; Jurgiel, Dominika; Kácha, Ondřej; Kankaanpää, Reeta; Kantorowicz, Jaroslaw; Kantorowicz-Reznichenko, Elena; Kaplan Mintz, Keren; Kaya, Ilker; Kaya, Ozgur; Khachatryan, Narine; Klas, Anna; Klein, Colin; Klöckner, Christian A.; Koppel, Lina; Kosachenko, Alexandra I.; Kothe, Emily J.; Krebs, Ruth; Krosch, Amy R.; Krouwel, Andre P M; Kyrychenko, Yara; Lagomarsino, Maria; Lamm, Claus; Lange, Florian; Lee Cunningham, Julia; Lees, Jeffrey; Leung, Tak Yan; Levy, Neil; Lockwood, Patricia L.; Longoni, Chiara; López Ortega, Alberto; Loschelder, David D.; Lu, Jackson G.; Luo, Yu; Luomba, Joseph; Lutz, Annika E.; Majer, Johann M.; Markowitz, Ezra; Marsh, Abigail A.; Mascarenhas, Karen Louise; Mbilingi, Bwambale; Mbungu, Winfred; McHugh, Cillian; Meijers, Marijn H C; Mercier, Hugo; Mhagama, Fenant Laurent; Michalakis, Katerina; Mikus, Nace; Milliron, Sarah; Mitkidis, Panagiotis; Monge-Rodríguez, Fredy S.; Mora, Youri L.; Moreau, David; Motoki, Kosuke; Moyano, Manuel; Mus, Mathilde; Navajas, Joaquin; Nguyen, Tam Luong; Nguyen, Dung Minh; Nguyen, Trieu; Niemi, Laura; Nijssen, Sari R R; Nilsonne, Gustav; Nitschke, Jonas P.; Nockur, Laila; Okura, Ritah; Öner, Sezin; Özdoğru, Asil Ali; Palumbo, Helena; Panagopoulos, Costas; Panasiti, Maria Serena; Pärnamets, Philip; Paruzel-Czachura, Mariola; Pavlov, Yuri G.; Payán-Gómez, César; Pearson, Adam R.; Pereira da Costa, Leonor; Petrowsky, Hannes M.; Pfattheicher, Stefan; Pham, Nhat Tan; Ponizovskiy, Vladimir; Pretus, Clara; Rêgo, Gabriel G.; Reimann, Ritsaart; Rhoads, Shawn A.; Riano-Moreno, Julian; Richter, Isabell; Röer, Jan Philipp; Rosa-Sullivan, Jahred; Ross, Robert M.; Sabherwal, Anandita; Saito, Toshiki; Sarrasin, Oriane; Say, Nicolas; Schmid, Katharina; Schmitt, Michael T.; Schoenegger, Philipp; Scholz, Christin; Schug, Mariah G.; Schulreich, Stefan; Shreedhar, Ganga; Shuman, Eric; Sivan, Smadar; Sjåstad, Hallgeir; Soliman, Meikel; Soud, Katia; Spampatti, Tobia; Sparkman, Gregg; Spasovski, Ognen; Stanley, Samantha K.; Stern, Jessica A.; Strahm, Noel; Suko, Yasushi; Sul, Sunhae; Syropoulos, Stylianos; Taylor, Neil C.; Tedaldi, Elisa; Tinghög, Gustav; Huynh, Luu Duc Toan; Travaglino, Giovanni Antonio; Tsakiris, Manos; Tüter, İlayda; Tyrala, Michael; Uluğ, Özden Melis; Urbanek, Arkadiusz; Valko, Danila; van der Linden, Sander; van Schie, Kevin; van Stekelenburg, Aart; Vanags, Edmunds; Västfjäll, Daniel; Vesely, Stepan; Vintr, Jáchym; Vranka, Marek; Wanguche, Patrick Otuo; Willer, Robb; Wojcik, Adrian Dominik; Xu, Rachel; Yadav, Anjali; Zawisza, Magdalena; Zhao, Xian; Zhao, Jiaying; Żuk, Dawid; Van Bavel, Jay J.
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions' effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior-several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people's initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.
Adopting Business Analytics to Leverage Enterprise Data Assets
(Springer Science and Business Media B.V., 2017) Djerdjouri, Mohamed; Mehailia, Abdelghani
In today’s rapidly changing business environment, advances in information and communication technologies are happening at a very fast pace. As a result, firms are under constant pressure to quickly adapt, be competitive, and identify new business opportunities. Also, the amount of data collected by organizations today is growing at an exponential rate and includes structured as well as new types of large and real-time data across a broad range of industries such as streaming, geospatial, social media, or sensor-generated data. Enterprise data have become an invaluable strategic asset. Many organizations are using modern Business Analytics (BA) to extract new insights and the maximum possible value from these data assets, which will enable them to make timely and accurate decisions. In this paper, we briefly describe business analytics and discuss how leading world class organizations are adopting it and the technology environments that make it relatively easy and inexpensive and, the subsequent competitive benefits they have achieved. In addition, we will report some findings from surveys of executives, managers, and professionals across industries about the use of analytics in their organizations, done recently by IBM, SAS, MIT, and Gartner. Also, we will briefly address the organizational, cultural, and technological challenges faced by organizations embracing business analytics. Finally, we will discuss the unique obstacles and challenges encountered by firms in developing countries with the goal of raising awareness of organizations in the MENA region not only about these impediments but also about the benefits of these technologies and the crucial role they play in the survival and competitiveness of the firm in the complex and turbulent global market. © 2017, Springer International Publishing Switzerland.
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 Jose
Machine 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.
Advertising literacy measurement scale from students' perspective
(preprints.org, 2021) Rasekh, Nazanin; Ghasemi, Hamid; Mataruna-Dos-Santos, Leonardo Jose; ABdolmaleki, Hossein; Soheili, Behzad
Although advertising literacy leads to critical thinking in the face of advertising, but so far, no action has been taken in Iran regarding a tool to measure this type of literacy. And after the investigations, it was determined that although much research has been done on advertising, but the lack of appropriate measurement tools to measure the level of advertising literacy is clearly evident. Therefore, this research provides a valid tool for measuring advertising literacy from students' perspective. In this study, referring to the dimensions of advertising literacy from the perspective of Malmelin (2010) and the views of related professors, a questionnaire was developed and to determine the validity of the structure, confirmatory factor analysis was used. In this study, the statistical population was high school students, considering the impact of advertising in this age range; finally, a tool with four dimensions of informational literacy, aesthetic literacy, rhetorical literacy and promotional literacy was obtained. According to the confirmation of this tool in the present study, it can be used to examine the status of items, their order and prioritization from the perspective of the mentioned population.
AI and Big Data in Contemporary Marketing (No full text)
(IEEE Computer Society, 2024-04-01) Agarwal, Sugandha; Ahmad, Norita; Jamali, Dima
Ambition at work and career satisfaction : the mediating role of taking charge behavior and the moderating role of pay
(Emerald Group Publishing Ltd., 2017) El Baroudi, Sabrine; Fleisher, Chen; Khapova, Svetlana N.; Jansen, Paul; Richardson, Julia
Purpose: The purpose of this paper is to examine the moderating role of pay in the relationship between employee ambition and taking charge behavior, and its subsequent effects on employee career satisfaction. Design/methodology/approach: A two-wave quantitative investigation was conducted among alumni of a large public university in the Netherlands. Findings: The results show that taking charge behavior mediates the positive relationship between employee ambition and career satisfaction. They also show that pay positively moderates this mediation, such that the relationship between employee ambition and taking charge behavior is stronger when ambitious employees receive an increase in pay, leading to increased career satisfaction. Conversely, a decrease in pay does not moderate ambitious employees’ taking charge behavior and the impact on their career satisfaction. Research limitations/implications: The study draws on self-report data collected in one country: the Netherlands. Practical implications: The study highlights the importance of pay for higher job involvement, demonstrating its impact on taking charge behavior among employees with higher levels of ambition. Originality/value: This is the first empirical study to examine the impact of pay on employees’ taking charge behavior and the subsequent implications for career satisfaction. © 2017, © Emerald Publishing Limited.
An Architectural Model for Integrating Big Data in Educational Information Systems
(Springer Science and Business Media Deutschland GmbH, 2024) Redouane, Abdesselam
We live in an era of big data that has overwhelmed most of our society and organizations. Companies would benefit from this big data, but information systems that support companies hamper its use. In this paper, we present an architectural model for integrating big data into educational information systems. The model is based on the urbanization paradigm that city planners use when creating new cities or renovating existing ones. The model is illustrated at two levels of architecture, highlighting the refinement from one level to the next using the urbanization paradigm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
An Integrated Cloud and Blockchain Enabled Platforms for Biomedical Research
(Springer Science and Business Media Deutschland GmbH, 2023) Ghazal, Taher M.; Hasan, Mohammad Kamrul; Abdullah, Siti Norul Huda Sheikh; Bakar, Khairul Azmi Abu; Taleb, Nasser; Al-Dmour, Nidal A.; Yafi, Eiad; Chauhan, Ritu; Alzoubi, Haitham M.; Alshurideh, Muhammad
In the current pandemic scenario, healthcare data tends to be an important asset among organizations. The major challenge is to handle the data effectively while maintaining the privacy and security of the data. In a real-world, context healthcare data proves to be heterogeneous. Hence, managing such significance to big data has ardently laid numerous challenges among researchers and scientists around the globe. Cloud environment and blockchain technology can be discussed as usable platforms which can deliver a comprehensive centralized data privacy system. In the current approach study, we have integrated both technologies to provide usability in medical systems. Further, we have also proposed and implemented a blockchain application with an integrated cloud-based environment regarding heterogeneous medical databases. The study is proposed in 2 phases to maintain the privacy and the accessibility of the data. The double-spending problem is also presented, as mentioned above, using Blockchain’s consensus process. Each network node independently verifies the validity of individual transactions and entire blocks. As a result, there is no need to put faith in a single entity or other nodes. As a result, third parties are no longer required for network actions or blockchain management. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Analysis of Issues Affecting IoT, AI, and Blockchain Convergence
(Springer Science and Business Media Deutschland GmbH, 2023) Taleb, Nasser; Al-Dmour, Nidal A.; Issa, Ghassan F.; Abdellatif, Tamer Mohamed; Alzoubi, Haitham M.; Alshurideh, Muhammad; Salahat, Mohammed
The purpose of this project was to appraise the integration or convergence issues influencing the mutual functioning of blockchain, AI, and IoT. The study argued that the recent developments in the field of IoT and blockchain prediction have involved the integration of innumerable classification schemes to establish a hybrid model. The introduction of the hybrid technique relies on the prediction performance that strives to override the limitations of any available architectural scheme. This study offers a comprehensive exploratory appraisal of the issues influencing the successful integration of IoT and blockchain in regards to functionality and effectiveness of security, trust, and flawless communication issues. The exploratory research methodology was used in analyzing the issues affecting the integration of blockchain, artificial intelligence (AI), and the internet of things (IoT). The findings indicated that the integration challenges influencing the effective operations of blockchain, AI, and IoT as a single system involve security, scalability, accountability, and trust of communications. The study recommends that successful and effective integration will enhance the development of new business models as well as the digital transformation of market corporations. Accordingly, new approaches to convergence should ensure that executives address the new technology demands to obtain significant gains in efficiency. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
An Analysis Safe Protocols Employed in Professional Male Soccer and the Impacts of the COVID-19 Pandemic on the 2020 Brazilian Championship
(MDPI, 2021-12-02) Mataruna-Dos-Santos, Leonardo Jose; Albuquerque, Pedro da Gama Roberto de; Vasconcellos, Gabriel de Almeida; Nascimento, Rodrigo Mendonça do; Cavalari, Nadine Tonelli; Range, Daniel; Guimarães-Mataruna, Andressa Fontes; Ortiz-Silva, Bianca
The COVID-19 pandemic directly reached and impacted upon elite sports and caused the postponement of sporting events globally. In order to enable the return of activities, protocols were created with recommendations to prevent the transmission of COVID-19. The objective of this work is to analyze and compare the safe return protocols of major football leagues and associations to those of the Brazilian Championship, as well as to survey the numbers of COVID-19 outbreaks in clubs that competed in the 2020 Brazilian Championship Series A. The documentary research was carried out through the analysis of articles published on open-source football league and federation websites. National and international return protocols were verified, as well as the documenting of isolated cases and outbreaks of COVID-19 in the Brazilian Championship. In the Brazilian Championship, the return to play occurred at a time when COVID-19 case numbers were rising, a fact that, together with the decentralization of the match cities, was likely linked to the number of positive cases. A total of 302 positive cases of COVID-19 were identified in 14 outbreaks during the competition. Therefore, this work identifies good practice and underscores the need to reassess and refine the protocols to minimize the impacts of COVID-19 going forward. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Analytic Hierarchy Process and Sensitivity Analysis Approach for Social Media Impact on Pharmaceutical Relationship Marketing Tactics
(Decision Science Institute, 2013) Enyinda, Chris I.; Ogbuehi, Alphonso O.; Hamouri, Suhair
Pharmaceutical relationship marketing (PRM) bodes well with the social media environment. Pharmaceutical industry can build and maintain relationships with consumers through social media. Firms that leverage social media to enhance their PRM tactics will be viewed favorably in terms of trust, transparency, openness, and honesty. This paper explores the sensitivity analysis (SA) of PRM tactics within the social media environment using analytic hierarchy process (AHP) approach. Results revealed customer engagement as the most important PRM tactic, followed by communication, and trust. The performance SA carried out on the PRM tactics showed that the ranking associated with social media channel options remained robust or insensitive to small perturbations.
Antecedents of employee alienation and its impact on individual work performance during post-merger integration (PMI)
(Emerald Group Holdings Ltd., 2020) Al Hosani, Yousef; Jabeen, Fauzia; Paul, Justin; Stachowicz-Stanusch, Agata
Purpose: The objective of this study was to examine the significant factors leading to employee alienation in post-merger integration (PMI). Design/methodology/approach: Data were collected from 482 middle- and low-level employees in two organizations in the real estate and banking sectors in the United Arab Emirates. The analysis was carried out using structural equation modeling (SEM). Findings: Organizational justice, employee commitment, organizational trust, perceived effectiveness of human resource (HR) initiatives and employee communication strategy played an important role in developing or mitigating a feeling of alienation among employees during PMI. Employee tenure in the organization affected individual work performance. Research limitations/implications: The study was limited to middle- and low-level employees and did not consider other organizational variables important in mergers. This study will help merger strategists to deliver appropriate HR practices during PMI, facilitating mitigation of uncertainties among employees and maximizing their trust and commitment. Originality/value: The study results will help organizations understand employee trust, commitment and determinants in an emerging economy. © 2020, Emerald Publishing Limited.
Anti-Corruption Education in Management Programmes: Learning Style Versatility and Artificial Intelligence (AI) Applications in Course Development and Delivery
(The International Society for Technology Education and Science, 2023) Tripathi, Shiv K.; Amann, Wolfgang C.; Stachowicz-Stanusch, Agata
The effective anti-corruption education requires careful understanding of the teaching-learning context. At the different stages of the designing an anti-corruption focuses course, we need to consider factors related to target learning group as well as the respective context in which they are. Learning style versatility is an important factor that needs to be analyzed for an effective and outcome linked course in Anti-Corruption. The emergence of artificial intelligence provides significant opportunities in improving the outcome-focused course design. Automating the identification of learning style versatility of target learning group can simplify the process of customizing the course contents, pedagogy and assessment framework for the given learning group. The article is conceptual in nature and provides a generic framework for applying artificial intelligence (AI) in developing the anti-corruption course, tailored to the target learning group characteristics. The suggested framework can be adapted under the different teaching-learnings contexts, as per the need. The anti-corruption is an extended and applied area of ethics and, therefore, the framework can also be extended in developing course modules related to other similar themes. © 2023 Published by the ISTES Organization

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