Mohammad I. Merhi and Klajdi Bregu
This study aims to achieve three goals: present a holistic, flexible and dynamic model; define the model’s factors and explain how these factors lead to effective and efficient…
Abstract
Purpose
This study aims to achieve three goals: present a holistic, flexible and dynamic model; define the model’s factors and explain how these factors lead to effective and efficient usage of big data; and generate indexes based on experts’ input to rank them based on their importance.
Design/methodology/approach
This paper uses the analytic hierarchy process, a quantitative method of decision-making, to evaluate the importance of the factors presented in the model. The fundamental principle of the overall model is that of a dynamo which is borrowed from electromagnetic physics. The model is also based on three IS theories.
Findings
Technological advancements and data security are among the most important factors that may impact the effectiveness and efficiency of big data usage. Authentication, governments’ focus on it and transparency and accountability are the most important factors in techno-centric, governmental-centric and user-centric factors, respectively.
Research limitations/implications
The findings of this paper confirmed earlier findings in the literature and quantitatively assessed some of the factors that were conceptually presented. This paper also presented a framework that can be used in future studies.
Practical implications
Policy and decision-makers may need to upgrade pertinent technologies such as internet security, frame policies toward information technology (IT) and train the users.
Originality/value
This paper fills a gap in the literature by presenting a comprehensive study of how different factors dynamically contribute to the effective usage of big data in the public sector. It also quantitatively presents the importance of the factors based on the data collected from 12 IT experts.
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Khaled A. Alshare, Murad Moqbel and Mohammad I. Merhi
This exploratory research aims to (1) investigate the bright and dark sides of social media use during the COVID-19 pandemic; (2) explore the impact of demographic factors on…
Abstract
Purpose
This exploratory research aims to (1) investigate the bright and dark sides of social media use during the COVID-19 pandemic; (2) explore the impact of demographic factors on social media usage; and (3) assess the effects of cultural dimensions on social media usage.
Design/methodology/approach
The data are collected through an online survey. Factors derived from grounded theories and models such as affordance theory and Hofstede's cultural framework were considered. Spearman correlation and nonparametric analysis were used to test the hypotheses.
Findings
The results revealed that social media usage was positively associated with healing and affiliation, and negatively associated with self-control. There are also positive associations between social media usage and sharing information related to COVID-19 without verification, perceived reliability of COVID-19 information on social media and relapse. The impact of demographic and cultural factors indicated significant effects of gender, age, marital status, educational level, power distance and collectivism on social media usage, sharing information, perceived information reliability, healing and affiliation.
Originality/value
This study contributes to technology affordances by examining social media's positive and negative affordances in a new context (COVID-19 pandemic). From the positive side, this study explores the use of social media for healing and affiliation. As for the negative impact of social media during the pandemic, this study assesses the user's addiction to social media use (relapse) and perception of the social media information reliability and information sharing without verification. It is among few research endeavors conducted in a non-Western country. This study also examines the influence of demographic and cultural factors on social media users. The results provide insights for both researchers and policymakers regarding social media usage.
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Kai S. Koong, Mohammad I. Merhi and Jun Sun
The purpose of this study is to find out whether efforts to improve the information security of government agencies and homeland information security have paid off and also…
Abstract
Purpose
The purpose of this study is to find out whether efforts to improve the information security of government agencies and homeland information security have paid off and also different incentives (internal/external) impact s on the improvement of information security of the government agencies?
Design/methodology/approach
This study examines the information security status of 24 federal agencies in the USA over the period 2002 through 2007 using latent growth modeling. The information security status of these agencies was tracked with the grades revealed in the Federal Computer Security Report Cards. In addition, the number of employees (internal threat incentives) and budgets incentives of federal agencies were gathered from the agencies and other governmental websites for the same period of time.
Findings
Results indicated that high critical‐information agencies even though they have an overall low performance in information security, they are performing better than the low critical‐information agencies regarding solving external threats. Results also revealed that whereas agencies have generally paid more attention to information security over the years, their performances are more pertinent to change in budget incentives than other incentives.
Research limitations/implications
The outcomes reported are confined to the data presented by the Federal Computer Security Report Cards. Another limitation is the number of employees that counts the total number of employees in the agencies whether they are related to the systems of the agencies or not. Finally, using a time‐lag analysis of budget to predict the current security score would be more straightforward, but this could not be applied in this study due to the insufficient sample size, as “the House Committee on Oversight and Government Reform” no longer released the report cards after 2007.
Practical implications
The results should be of interest for the federal agencies that are included in this study, as well as for the organizations that are responsible for the information security of government agencies at different levels. Policy makers, IT managers, software developers and security specialists can also use the outcomes reported in this study for the better decision making that can enhance the information security in the public sector. The theoretical and methodological framework used in this study may also contribute to the current literature of homeland information security incentives and be helpful for future studies on its critical success factors.
Originality/value
This study examines fundamental issues that have not yet to be established. To our knowledge, this is the first study that assesses different incentives that have an effect on the Federal agencies' information security performance because of the lack of data in this domain. Also, the statistical techniques used to test the research propositions fit the objective of the study. Not only this, but the results found in this research assure the importance of one of the incentives that has been identified in the literature as a crucial element that affects the information security performance of the organizations.
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Ezlika M. Ghazali, Hussam Al Halbusi, Fadi Abdel Muniem Abdel Fattah, Md. Uzir Hossain Uzir, Dilip S. Mutum and Foon-Lip Tan
The goal of this study is to examine the factors (e.g. enjoyment, skills, challenge, telepresence and flow) that influence players’ purchase intention toward Dota 2 virtual…
Abstract
Purpose
The goal of this study is to examine the factors (e.g. enjoyment, skills, challenge, telepresence and flow) that influence players’ purchase intention toward Dota 2 virtual in-game as well as examine the effect of flow toward purchase intention of Dota 2 through the critical mechanism (i.e. continuous intention). Notably, the analysis of the moderating role of enjoyment of buying on the relation of (a) flow and purchase intention of Dota 2 in-game, as well as (b) between flow continuous intention and finally (c) between continuous intention purchase intention of Dota 2.
Design/methodology/approach
The data were gained from 331 users using Google Forms and posted to respondents on social media platforms and forums such as Facebook and Reddit, as these websites have the closest reach to gamers.
Findings
The study revealed that enjoyment, skill, challenge and telepresence have a positive effect on flow. Also, the flow was significantly related to purchase intention. The continuous intention has significantly mediated the relationship between flow and purchase intention. Importantly, this study found that the moderating role of buying enjoyment increases the relationship between flow and purchase intention (H7a) and between continuous intention and purchase intention (H7c). In contrast, the moderating role of buying enjoyment on the relationship between flow and continuous intention (H7b) was not supported. Hence, this study sheds a new light on the notable Dota 2 in-game and continuous intention purchase intention of the users.
Originality/value
In response, this study's main research question can be highlighted on testing how enjoyment, skills, challenge, telepresence, in-game virtual items influence purchasing intention when the enjoyment of buying moderates the proposed relationship? Therefore, this study aims to examine the significant elements like enjoyment, skills, challenge telepresence toward flow, and subsequently, the effect of flow toward purchase intention of Dota 2 in-game through continuous intention as a key mechanism which is urgently needed to minimize the gap in-game virtual items literature. Significantly, this study also intends to explore the contingent role of enjoyment of buying on the relation of flow and purchase intention of Dota-2 in-game, as well as between flow and continuous intention and finally between continuous intention and purchase intention.
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Md Sajjad Hosain and Mohammad Afsar Kamal
With the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages…
Abstract
Purpose
With the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages. The intention of this exploratory study is to investigate the role/impact of selected factors in adopting three MEPAs of China: Wechat, Alipay and UnionPay based on the extended technology acceptance model (ETAM). After conducting a thorough and careful literature review, this study identified and divided seven such factors into three broad categories: (1) technological factors: perceived ease of use (PEU) and perceived usefulness (PU); (2) personal factors: perceived trust (PT), perceived privacy (PP) and perceived risk (PR); and (3) social factors: social influence (SI) and peer influence (PI) that were assumed to affect the intention to adopt MEPAs (IAMEPAs).
Design/methodology/approach
1,597 Chinese individuals were selected through purposive sampling technique who regularly used MEPAs at the time of collecting data. For collecting primary data from the selected respondents, a cross-sectional survey instrument was used. The study utilized IBM SPSS 25 for descriptive statistics and a second generation covariance-based structural equation modeling (CB-SEM) technique through AMOS 25 for testing the hypothesized relationships.
Findings
From statistical analysis, it was identified that five factors: PEU, PU, PT, SI and PI have significant positive impact on the dependent variable, IAMEPAs while PR and PP have insignificant influence on IAMEPAs.
Originality/value
This is one of the studies ever conducted to discover the factors that can have impact on the adoption of MEPAs using ETAM. It is strongly expected that this exploratory study can motivate the scholars to commence additional investigations regarding this increasingly popular financial technology (Fin-Tech). In addition, it can be anticipated that the MEPA service providers can widen their service effectiveness according to the users’ opinion reflected in this study. Furthermore, policymakers involved with Fin-Tech can also formulate and implement effective policies and guidelines based on the empirical outcomes.
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Salman Khan, Shafaqat Mehmood and Safeer Ullah Khan
Generative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable of generating manifold forms of content, including music, text, images and…
Abstract
Purpose
Generative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable of generating manifold forms of content, including music, text, images and synthetic data. The purpose of this study is to analyze the determinants that affect GenAI acceptance and its outcomes on both the explorative and exploitative forms of innovation.
Design/methodology/approach
The study employs a conceptual framework based on the technology-organization-environment (TOE) paradigm. Through Smart-PLS analysis, it examines empirical data retrieved from an online survey where 302 manufacturing companies took part.
Findings
It is found that GenAI has the potential to facilitate both exploratory and exploitative innovation, particularly via the moderating effect of environmental dynamism. Hence the adoption of GenAI has potential to improve organizational performance.
Originality/value
The study is the first empirical project to investigate factors that influence manufacturing firms' adoption of GenAI. As the first project to have integrated the TOE paradigm when examining the impact of environmental dynamism on exploratory and exploitative innovation, the study emphasizes the double innovation potential of GenAI in organizational performance improvement.
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The purpose of this study is to investigate the antecedent factors influencing e-loyalty toward e-wallet payment apps in developing countries (e.g. Jordan). This study also…
Abstract
Purpose
The purpose of this study is to investigate the antecedent factors influencing e-loyalty toward e-wallet payment apps in developing countries (e.g. Jordan). This study also investigates the mediating role of perceived usefulness (PU) and the moderating role of electronic word of mouth (e-WOM) toward these apps.
Design/methodology/approach
An online questionnaire was used for data collection from 251 actual users of e-wallet payment apps. To estimate and test the research-proposed model, the partial least squares structural equation modeling (PLS-SEM) was employed.
Findings
The results mainly confirm that perceived trust (PT), perceived financial cost (PFC) and perceived ease of use were found to be determinants of PU; perceived security (PS), PT, PFC, perceived ease of use and perceived enjoyment (PE) were found to be determinants of e-satisfaction, whereas e-satisfaction and e-WOM were found to be determinants of e-loyalty toward e-wallet payment apps. Likewise, the results support the significant effect of the moderating effect of e-WOM. Conversely, the direct and indirect impact of PU and perceived health benefits (PHB) on e-satisfaction is not supported; therefore, hypotheses H4, H5 and H9 were rejected.
Originality/value
This study contributes to the understanding of the critical success factors underlying e-wallet apps during and post-COVID-19 era, which can help policymakers in banks and other financial institutions (service providers) to increase the diffusion rate of financial inclusion by the usage of e-wallet apps.
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Rahmiati Rahmiati, Mohammad Enamul Hoque, Perengki Susanto, Abdullah Al Mamun, Md Arif Hossain Mazumder and Riyashad Ahmed
The use of electronic money (eMoney) as a noncash payment method is gaining popularity globally. However, the usages of eMoney are culturally influenced and can vary within a…
Abstract
Purpose
The use of electronic money (eMoney) as a noncash payment method is gaining popularity globally. However, the usages of eMoney are culturally influenced and can vary within a country. These cultural disparities can result in divergent patterns of eMoney adoption and use. This study aims to investigate the factors influencing the adoption and use of eMoney in Indonesia. This study integrated the unified theory of acceptance and use of technology model with Hofstede’s cultural dimensions to develop a framework examining both technological and cultural perspectives.
Design/methodology/approach
Data was collected through an online survey of 484 Indonesians and analyzed using partial least squares structural equation modeling.
Findings
The results showed that the constructs of the unified theory of acceptance and use of technology model, namely, performance expectancy, effort expectancy, social influence and facilitating conditions, all had a significant impact on behavioral intention to adopt eMoney as well as actual usage. However, not all of Hofstede’s cultural dimensions moderated these relationships as hypothesized. Surprisingly, masculinity/femininity and power distance emerged as important moderators of eMoney usage.
Practical implications
This integrated model provides valuable insights into how to consider cultural influences when designing strategies to promote new payment technologies in Indonesia. The findings point to both technological and cultural factors shaping patterns of adoption and use of eMoney in the country.
Originality/value
Although many research has looked at how culture affects the acceptability of technology in banking, few studies have looked at how culture affects the use of mobile money. This study offers a valuable contribution by investigating how Indonesian culture moderates the relationship between behavioral intentions and actual use of eMoney. The findings provide guidance for practitioners seeking to facilitate eMoney services in developing markets by elucidating the cultural factors that most influence customer adoption. As such, this research fills an important gap regarding the understudied domain of mobile money and its intersection with national culture.
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Aws Al-Okaily, Ai Ping Teoh and Manaf Al-Okaily
A crucial question still remains unanswered as to whether data analytics-oriented business intelligence (hereafter, BI) technologies can bring organizational value and benefits…
Abstract
Purpose
A crucial question still remains unanswered as to whether data analytics-oriented business intelligence (hereafter, BI) technologies can bring organizational value and benefits. Thereby, several researchers called for further empirical research to extend the limited knowledge in this critical area. In an attempt to deal with this issue, we presented and tested a theoretical model to assess BI effectiveness at the organizational benefits level in this research article.
Design/methodology/approach
The suggested research model expands the application of the DeLone and McLean model in BI technology success or effectiveness research from individual level to organizational level. A cross-sectional survey is developed to obtain primary quantitative data from business and technology managers who are depending on BI technologies to make operational, technical and strategic decisions in Jordanian-listed firms.
Findings
Empirical findings show that system quality, information quality and training quality are significant predictors of user satisfaction, but not of perceived benefit. Data quality was found to be a strong predictor of both perceived benefit and user satisfaction. The influence of perceived benefit on user satisfaction was significant in turn both factors positively affect organizational benefits.
Originality/value
This research paper is a pioneering effort to assess BI technology effectiveness at an organizational level outside the context of developed countries. To the best of the authors’ knowledge, no prior research has combined all dimensions used in this research in one single model.
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Zaid Jaradat, Ahmad AL-Hawamleh and Allam Hamdan
The Kingdom of Saudi Arabia’s dedicated pursuit of technological modernization positions it as a forefront leader in integrating advanced systems, aligning smoothly with the…
Abstract
Purpose
The Kingdom of Saudi Arabia’s dedicated pursuit of technological modernization positions it as a forefront leader in integrating advanced systems, aligning smoothly with the ambitious goals outlined in Vision 2030. The purpose of this study is to investigate the influence of integrating enterprise resource planning (ERP) and business intelligence (BI) systems on decision-making processes within the industrial sector of Saudi Arabia.
Design/methodology/approach
Using a quantitative research design, this study uses a bootstrapping approach and partial least squares structural equation modeling to meticulously analyze data collected from Saudi industrial firms.
Findings
The research reveals favorable relationships among infrastructure readiness, data quality, security and access control, user capabilities, user training and the integration of ERP and BI. These positive associations collectively affirm the overarching positive impact of ERP and BI integration on decision-making processes within the industrial sector.
Practical implications
The study underscores the strategic imperative of aligning organizational practices with the identified characteristics to fully unlock the potential benefits of ERP and BI integration in the Saudi Arabian industrial sector.
Originality/value
This study contributes significantly to the existing literature by delving into the integration of ERP and BI in the industrial sector and its nuanced impact on decision-making processes, specifically in the context of the Kingdom of Saudi Arabia – an area that has not been extensively studied.