UPSI Digital Repository (UDRep)
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Total records found : 5 |
Simplified search suggestions : Arsalan Mujahid Ghouri |
1 | 2017 article | Adaptation of RFID technology in business supply chain success : empirical findings from a developing country logistic industry Khan Naveed R., Haq Mirza A., Ghouri Arsalan Mujahid, - Abdul Razoq, Syed Muhammad Moiz, 2254 hits |
2 | 2019 article | The dataset for validation of customer inspiration construct in Malaysian context Arsalan Mujahid Ghouri This study intended to validate customer inspiration (CI)in Malaysian/developing country context. Data were collected from two different respondents for two studies - from Millennial customers of the auto industry and Generation Z customers of the smartphone industry. The survey conducted through a standardized and structured questionnaire. The variables of the both studies were customer-defined market orientation (MO) (customer orientation, competitor orientation, and interfunctional coordination), CI (inspired-by and inspired-to), and customer loyalty (CL). This research strategy, in terms of quantity, is descriptive and correlational. Statistical analysis of the data was carried out, using ADANCO 2.0. The finding of the study suggests all results of data 1 and data 2 were significant, and CI mediates the sub-constructs of MO with CL.
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3 | 2019 article | Consumer psychographic and demographic characteristics towards female endorsement in advertising Arsalan Mujahid Ghouri Nowadays advertising has become a lifeline for business and endorsement of a females in advertising has become an unavoidable fact. Over a few decades, a wide range of researches have been carried out on female role portrayal in advertisements however, the role of demographic factors to moderate the relationship between consumer attitudes and responses towards female endorsement in print advertisement is yet to examine. Therefore, the objective of this study was to examine the role of demographic factors as a moderator to influence the response towards female endorsement in print advertisements. A survey was administered on 296 respondents from urban cities of Pakistan through questionnaires. The major findings of this study are that gender, income, education and geographic location do not moderate the relationship between attitude and response towards female endorsement in print advertisement. It was also found that male consumers as compared to females perceive that the presence of a..... 1350 hits |
4 | 2021 article | An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations Mujahid Ghouri, Arsalan Industry 4.0 requires firms to adopt the latest technology to be more effective. However, previous studies have not addressed customer engagement (CE) and its direct benefit (buying) and indirect benefits (referring, influencing, and feedback) using modern technologies such as industry 4.0. The present study analyses customer engagement in regard to real-time information receiving (RTIR) in the downstream operations implemented through software-as-a-service technology. The data is collected from 533 customers of small businesses in retail, food & beverages, and accommodation sectors. The study's empirical model is validated using the theory of information sharing (ToIS). The outcomes specify that RTIR is the antecedent of CE. The results show the mediation effect of customer orientation on RTIR and CE relationship. The study also confirms that gender moderates three out of the four examined relationships between RTIR and CE. Subsequently, our outcomes offer a deeper understanding of RT..... 833 hits |
5 | 2023 article | Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions Arsalan Mujahid Ghouri Fake news and disinformation (FNaD) are increasingly being circulated through various online and social networking platforms, causing widespread disruptions and influencing decision-making perceptions. Despite the growing importance of detecting fake news in politics, relatively limited research efforts have been made to develop artificial intelligence (AI) and machine learning (ML) oriented FNaD detection models suited to minimize supply chain disruptions (SCDs). Using a combination of AI and ML, and case studies based on data collected from Indonesia, Malaysia, and Pakistan, we developed a FNaD detection model aimed at preventing SCDs. This model based on multiple data sources has shown evidence of its effectiveness in managerial decision-making. Our study further contributes to the supply chain and AI-ML literature, provides practical insights, and points to future research directions. 2022, The Author(s)... 133 hits |