An exploratory examination of the influence of national culture on cross national diffusion: A case study on the MENA region

AlMutairi, Shihanah; Yen, Dorothy A.

doi:10.1080/23311975.2021.2016554

Cited by 4 publications

(7 citation statements)

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“…Third, individualism refers to a society in which bonds between people are not particularly strong, and the focus is placed on the individual's accomplishments. Fourth, masculinity is the division of societal roles between men and women in a certain culture (AlMutairi and Yen, 2022). Several studies have employed culture dimensions (AlMutairi and Yen, 2022; Hofstede, 2011).…”

Section: Sampling Methodology and Variablesmentioning

confidence: 99%

“…Utilising information from 626 businesses across 31 industrialised nations, the researchers discovered that national culture significantly affected the crash risk of renewable energy companies. A study has revealed that misunderstandings stemming from cultural norms' mismatches have significantly hindered organisational performance (AlMutairi and Yen, 2022). Academics and practitioners alike should remember that a society's culture may impact how its members respond to uncertainty by influencing their decisions to buy or sell stocks.…”

Section: Cultural Dimensions and Stock Returnsmentioning

confidence: 99%

“…Academics and practitioners alike should remember that a society's culture may impact how its members respond to uncertainty by influencing their decisions to buy or sell stocks. It is common practice to use pre-existing cultural paradigms to simplify and expedite what would otherwise be a difficult and laborious process of gaining knowledge about the cultures of the markets that are being targeted (AlMutairi and Yen, 2022). Therefore, a new and novel hypothesis (H3) was proposed as follows:…”

Section: Cultural Dimensions and Stock Returnsmentioning

confidence: 99%

“…Since the 1980s, when international trade between nations began to rise, investors from diverse cultural backgrounds initiated cross-cultural awareness to be lucrative (Kabasakal et al, 2012). The timing, shape and method of adoption of beneficial organisational reforms were all susceptible to pre-existing cultural factors (AlMutairi and Yen, 2022). Foreign investors and managers need to be sensitive to local customs and mindful of how their actions may be interpreted by traders from diverse cultural backgrounds (Javidan et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…, 2012). The timing, shape and method of adoption of beneficial organisational reforms were all susceptible to pre-existing cultural factors (AlMutairi and Yen, 2022). Foreign investors and managers need to be sensitive to local customs and mindful of how their actions may be interpreted by traders from diverse cultural backgrounds (Javidan et al.…”

Section: Introductionmentioning

confidence: 99%

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Has the heterogeneity of culture, investor sentiment and uncertainty altered bank stock returns in the MENA region?

Shah

2023

JES

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PurposeThis paper has analysed the impact of cultural dimensions, investor sentiment and uncertainty on bank stock returns. Also, the study examined the influences of the interaction between cultural dimensions and individual (private) sentiment (investor sentiment).Design/methodology/approachTo meet the study's objectives, a two-step generalised method of moments estimator was applied to the study sample, which included 105 banks in the nine Middle East and North African region countries between 2010 and 2020.FindingsThe cultural dimensions of individualism and masculinity were found to have a positive and significant effect on banks' buy and hold stock return (BUH). At the same time, power distance and uncertainty avoidance were discovered to have negative effects. Besides, the findings revealed that the interactions of power distance, individual sentiment and uncertainty avoidance had positive and significant relationships with banks' BUH. However, individualism, individual sentiment and masculinity had inverse relationships with banks' BUH. Furthermore, the findings revealed that investor sentiment positively influenced banks' BUH. Finally, uncertainty influenced banks' BUH stock returns positively.Research limitations/implicationsImportant implications for participants in the financial sector and governments may be learnt from this study's conclusions. Due to cultural biases, this study's findings suggested that investors overreact in the stock market.Originality/valueAdditionally, this research comprises one of the few studies that have overviewed the link between classical and behavioural finance in MENA countries with distinctive cultural characteristics.

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Section: Sampling Methodology and Variablesmentioning

confidence: 99%

Section: Cultural Dimensions and Stock Returnsmentioning

confidence: 99%

Section: Cultural Dimensions and Stock Returnsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Has the heterogeneity of culture, investor sentiment and uncertainty altered bank stock returns in the MENA region?

Shah

2023

JES

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Artificial intelligence and cybersecurity within a social media context: implications and insights for Kuwait

Alrabea,

Alsaffar,

Alsafran

et al. 2024

JSTPM

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Purpose By addressing the dearth of literature on the subject of cybersecurity risks and artificial intelligence (AI), this study aims to close a research gap by concentrating on the ever-changing environment of online social networks (OSNs) and technology. The main goals are to classify cyberattacks into categories like malware, phishing/spam and network intrusion detection; to identify efficient algorithms for preventing cyber threats; to review relevant literature from 2019 to 2020; and to use machine learning algorithms to detect suspicious behavior related to malware. The study offers a novel framework that suggests particular machine learning algorithms for every kind of cyber threat, hence improving cybersecurity knowledge and reaction capacities. This makes the research useful for examining the impact of cybersecurity on smart cities. Design/methodology/approach Thirty papers have been examined on AI and machine learning algorithms, including K-nearest-neighbor (KNN), convolutional neural networks (CNN) and Random Forest (RF), that were published in 2019 and 2020. Using analytical software (NVivo), a qualitative approach is used to retrieve pertinent data from the chosen research. The researchers divide cyberattacks into three groups: network intrusion detection, phishing/spam and malware. Findings The study’s conclusions center on how AI and machine learning algorithms linked to cybersecurity are reviewed in the literature, how cyberattacks are classified and how an inventive framework for identifying and reducing risks is proposed. This makes the research useful for researching the implications of cybersecurity for smart cities. Practical implications The practical implications of this research are noteworthy, particularly in the realms of technology, AI, machine learning and innovation. The utilization of the NVivo technique enhances decision-making in uncertain situations, making the study’s results more reliable. The findings showcase the applicability of tools in analyzing malicious cyberattacks to address issues related to social media attacks, emphasizing their practical utility. The study’s relevance is further highlighted by a real-world example, where a Kuwaiti public sector fell victim to a malware attack, underlining the importance of cybersecurity measures aligned with the New Kuwait 2035 strategic development plan. The innovative framework presented in the research guides the selection of algorithms for detecting specific malicious attacks, offering practical insights for securing information technology (IT) infrastructure in Kuwait. Social implications The rapid digitization in Kuwait, accelerated by the COVID-19 pandemic, underscores the pivotal role of technology in government services. Ma’murov et al. (2023) emphasize the significance of digitization, particularly in accessing and verifying COVID-19 information. The call for a dedicated digital library for preserving pandemic-related material aligns with the evolving digital landscape. Cybersecurity emerges as a critical concern in Kuwait and the Gulf Cooperation Council (GCC), necessitating transnational cooperation (Nasser Alshabib and Tiago Martins, 2022). In the local context, the inefficiency of information security systems and low awareness among government employees pose cybersecurity challenges (Abdulkareem et al., 2014). Social media’s role during the pandemic highlights its significance, yet the need for cybersecurity in this domain remains underexplored (Ma’murov et al., 2023; Safi et al., 2023). Originality/value The unique aspect of the paper is its in-depth investigation of the relationship between cybersecurity and AI in OSNs. It uses a special application of machine learning methods, including CNN, RF and KNN, to identify suspicious behavior patterns linked to malware. The detailed analysis of 30 research papers released between 2019 and 2020, which informs the choice of suitable algorithms for diverse cyber threats, further emphasizes the study’s uniqueness. The novel framework that has been suggested categorizes assaults and suggests certain machine learning techniques for identification, offering a useful instrument to improve comprehension and reactions to a variety of cybersecurity issues.

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Enhancing the effectiveness of digital transformation on teaching in higher education in Kuwait

Alkandari,

Alsaber,

Al-Kandari

et al. 2024

Front. Educ.

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IntroductionThis study investigates the digital citizenship behavior (DCB) and behavioral intention (BI) of faculty members at the Public Authority for Applied Education and Training (PAAET) colleges in Kuwait. The research aims to evaluate the effectiveness of technology in teaching and provide a case study of higher educational institutions in Kuwait. The study’s theoretical framework focuses on four key factors: performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC), examining their impact on faculty readiness (RED) through the mediation of both BI and DCB. A total of 28 hypotheses were tested, exploring direct and indirect relationships among these variables.MethodsA survey was conducted among 122 faculty members from PAAET colleges in Kuwait. The questionnaire measured the participants’ perceptions of PE, EE, SI, and FC, along with their BI and DCB. The study employed statistical methods to analyze the data and test the 28 hypotheses, aiming to identify significant paths of relationships that contribute to faculty readiness for technology use in education.ResultsThe findings confirmed eight significant paths of relationships, highlighting the importance of inputs such as effort and social influence and their impact on performance as an output in determining faculty readiness. However, the study raised empirical doubts about the remaining 20 hypotheses, providing new evidence that challenges the currently established relationships between technology acceptance and digital citizenship.DiscussionThe study offers valuable insights into the factors influencing the effective use of technology in higher education institutions in Kuwait. It suggests that while some pathways, such as effort and social influence, significantly contribute to faculty readiness, other expected relationships may not hold as previously thought. This new evidence calls for a reevaluation of the existing models of technology acceptance and digital citizenship. The results have important implications for policy and practice, offering guidance on enhancing technology use among faculty members in educational settings. The study contributes to the broader discussion on digital transformation in education, providing a comprehensive understanding of the key factors that affect faculty readiness for adopting new technologies.

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An exploratory examination of the influence of national culture on cross national diffusion: A case study on the MENA region

Cited by 4 publications

References 68 publications

Has the heterogeneity of culture, investor sentiment and uncertainty altered bank stock returns in the MENA region?

Has the heterogeneity of culture, investor sentiment and uncertainty altered bank stock returns in the MENA region?

Artificial intelligence and cybersecurity within a social media context: implications and insights for Kuwait

Enhancing the effectiveness of digital transformation on teaching in higher education in Kuwait

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