Kante, Mahamadou

PhD, Lecturer
🥼
🤝
Publications
8
Citations
8
h-index
2
Kante M., Michel B.
2023-05-01 citations by CoLab: 6 Abstract
Structural equation modelling (SEM) is a statistical technique used in the field of Information Systems amongst others. The technique has been paid attention thanks to its flexibility and predictive power. However, there is a paucity of guidelines in the application of the technique in the field of Behavioural Information Security. Hence, this paper aims to provide a comprehensive guide of using PLS-SEM in disclosure and privacy studies on Social Network Sites (SNSs). Data has been gathered using papers (n=21) published between 2006 and 2022 from scholarly databases such as Google Scholar, Association for Information Systems eLibrary (AISeL), IEEE Xplore and Science Direct. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020) was used to analyse and synthesize the status of the field. Our systematic review covers data characteristics, reasons for using PLS-SEM, the evaluation of measurement models, the evaluation of the structural model and reporting best practices. The review proposed guidelines for the use of PLS-SEM in the discipline of Behavioural Information Security with a focus on disclosure and privacy on SNSs studies and other fields as well.
Kante M., Adepo J.C., Babri M.
One of the current discussions is the resilience of health systems in developing countries. Online platforms users including health system users (patients, doctors) are worried about their privacy being violated. While the users of social media enjoy the opportunity to learn, connect, and share, their privacy on those platforms is at risk. A possible cause of this is the information privacy paradox, which describes a disconnect between users' stated concerns and actual behaviour. In the pilot phase of this study, the authors have used the partial least squares structural equation modelling technique for the analysis of the relationships postulated to explain self-disclosure in social network sites. The survey instrument's content validity and adapted model's constructs validity and reliability were confirmed, and the preliminary findings revealed that the derived model explains 32.9% of the user's self-disclosure intention on social network sites.
Kante M., Kante M.
Understanding the stakeholders of mobile money services and systems in developing countries remain critical issues that need to be addressed. Using the Stakeholder Theory, along with the Diffusion of Innovation Theory and Unified Theory of Acceptance and Use of Technology, this study gathered data from 110 respondents to contribute to the understanding of the mobile money (Orange Money) stakeholders in Mali. The results characterized the stakeholders of the mobile money system and revealed that each stakeholder has its unique drivers and challenges towards the adoption of the mobile money system. These findings suggest that specific attention should be paid to each stakeholder by the mobile money operator in developing countries.
citations by CoLab: 0
citations by CoLab: 0
citations by CoLab: 0
Castro Silva W.A., Ferreira L.J., Cançado V.L., De Muylder C.F.
Bottom Line Q1 Q1
2025-01-10 citations by CoLab: 0 Abstract
Purpose This study aims to examine the impact of investment in innovation, market structure and competitive position on the supermarket value chain in the USA. Design/methodology/approach This paper used secondary data from Economatica® for the period 2010–2020, encompassing 83 firms within the US supermarket value chain, resulting in 913 observations for each model covariate. The data were analyzed through structural equation modeling, using the partial least squares (PLS) approach, using SMARTPLS® software. Findings The results indicate that both market structure and investment in innovation have a significant impact on a firm’s competitive position. Specifically, a more concentrated market structure is associated with a weaker competitive position, whereas higher levels of investment in innovation correspond to a stronger competitive position. However, no significant relationship was found between investment in innovation and market structure. Research limitations/implications This study is limited to the Economatica® database, from which this paper selected a sample of firms within the US supermarket value chain. This paper recommend future research to compare data from other countries or sectors. For the three-dimensional model, this paper used constructs with indicators of investment, performance and market concentration; however, this paper suggests incorporating additional variables to enhance the model’s robustness. Practical implications An analysis of market structure and its impact on competitive positioning offers valuable insights for managers regarding the strategic dimensions of the supermarket industry. Integrating the effects of investment in innovation into business strategies can enhance long-term economic benefits. Adopting a value chain perspective further facilitates the examination of market equilibrium and competitive positioning within the supermarket industry. Social implications The findings of this study can help prevent the adoption of misguided strategies that fail to foster business growth. By highlighting the significant impact of innovation on performance, while considering the competitive dynamics within the supermarket industry, the study provides a deeper understanding of the risks faced by various firms across the value chain and the dual nature of competition within the sector. Moreover, it reinforces the relevance of research on economic sustainability and supports the development of effective growth strategies for firms. Originality/value While most studies focus on hypotheses examining the relationships between innovation and competitive positioning or between innovation and market structure, this study introduces a three-dimensional model that uses structural equation modeling to test these interconnections simultaneously. Furthermore, it extends the analysis by incorporating the value chain as a central component, using a diverse sample of firms directly linked to the core operations of the supermarket industry.
Anjaningrum W.D., Azizah N., Suryadi N.
Heliyon Q1 Q1 Open Access
2024-04-01 citations by CoLab: 0 Abstract
Abstract Several studies have explored firm performance in the post-Covid-19 pandemic era. However, there is not much research to find reports divulging the complex relationship dynamics between business intelligence, organizational and network learning, customer value anticipation, and creative economy-based small-medium enterprises (SMEs) performance in developing countries. This study aims to uncover the complexity of those relationships. The quantitative data were collected from 313 creative economy-based SMEs in East Java, Indonesia. Using PLS-SEM, this study disclosed that business intelligence practices could not directly impact SMEs' performance. Business intelligence will be crucial to SMEs' performance with the support of organizational learning as a mediator. The finding also confirmed the presence of serial mediation of organizational learning and innovation in the relationship between business intelligence and SMEs' performance. However, the role of network learning and innovation is also important, considering their relatively large direct impact on SMEs' performance. The theoretical implications of this research broke the boundaries of strategic management theory in resource-based view and knowledge-based view in the latest era, where creative economy-based SMEs have been able to mobilize resources to carry out business intelligence to realize innovation and high performance. Further research is suggested to explore the role of business intelligence in promoting specific performance areas, such as marketing performance, financial performance, and human resource management. In addition, it is advisable to choose more specific research subjects, including those in the culinary subsector, and pay attention to other areas, e.g., the demographics of respondents in the model as a control variable.
Joana Carolina C., Gabriela R., Ismael M.
2024-02-01 citations by CoLab: 4 Abstract
Sustainable entrepreneurship (SE) has been researched in different areas but with little attention on sustainability. This study analyses the effects of economic, social, and technological factors on SE over time. It applies partial least squares structural equation modelling (PLS-SEM) to test three hypotheses. The results show that, while all three factor categories positively impact SE over time, the impact of technological factors is less significant.
Firdausi M., Ahyudanari E., Herijanto W.
2023-10-12 citations by CoLab: 0 Abstract
Travel behavior analysis involves the utilization and examination of travel demand through the application of theories and analytical techniques derived from diverse scientific disciplines. There are many methods used by researchers in analyzing travel behavior. Mode selection is the stage where the transportation planning process is responsible for determining the travel load or knowing the number of people and goods, then selecting the available transportation models that serve as the starting point of the destination. Travel factors have a strong influence on a person’s travel behavior, (trip maker behavior), including income, vehicle ownership, vehicle condition, settlement density of one’s socioeconomic conditions. This paper describes the disadvantages and advantages of travel behavior modeling analysis and factors that influence the choice of modes based on travel behavior, so that in the future researchers can use it as an illustration in determining the right analysis.
Abumalloh R.A., Nilashi M., Ooi K.B., Wei-Han G., Cham T., Dwivedi Y.K., Hughes L.
2023-09-27 citations by CoLab: 26 Abstract
The concept of the metaverse involves creating a fully immersive virtual world that allows users to interact with each other and digital objects in a way that is almost indistinguishable from reality. One of the key areas where the metaverse is expected to have an impact is retailing. Although there have been several studies on the use of the metaverse in different industries, this issue is rarely investigated in previous studies in the context of retail companies focusing on users’ perceptions. This study accordingly explores the factors impacting the adoption of a metaverse in the retail industry and develops a new model based on the Resource-Based View (RBV) theory. In addition, the relationship between the usage intention of the metaverse and product innovation, and the relationship between product innovation and sustainable competitive advantage are investigated. Furthermore, as sustainability is a critical issue in the adoption of innovation by industries, this study aims to further investigate whether sustainability commitment will strengthen the impact of attitude toward metaverse on the intention to use. The data was collected from retail companies in Malaysia and analyzed to evaluate the proposed research model. The outcomes of this research indicated that there is a positive impact of product innovation on sustainable competitive advantage through the adoption of a metaverse in retail companies. In addition, our findings stressed that the intention to use metaverse will lead to product innovation in retail companies. Furthermore, the results revealed that sustainability commitment does not moderate the relationship between attitude toward the metaverse and intention to use, but impacts the usage intention of the metaverse directly.
Ledi K.K., Ameza-Xemalordzo E., Amoako G.K., Asamoah B.
2023-07-23 citations by CoLab: 2 PDF
Takyi-Annan G.E., Zhang H.
Buildings Q1 Q2 Open Access
2023-06-25 citations by CoLab: 1 PDF Abstract
Building information modeling (BIM) mandates are becoming more widespread because BIM allows design and construction teams to operate more productively and also enables them to collect the data they generate during the process for use in operations and maintenance tasks. As a result, professionals in the architecture, engineering and construction (AEC) industries are expected to possess excellent BIM expertise. Despite the fact that the developing world has largely not adopted BIM, many studies have been conducted on BIM usage, awareness, drivers and barriers with a focus on the developing world. Numerous studies have pointed to the professionals’ lack of BIM expertise in the developing world’s AEC sector as a major barrier to BIM deployment. Nevertheless, no research has been conducted to assess the variables impacting the level of BIM expertise among professionals. After a detailed review of the literature, the study developed five study hypotheses and created a conceptual model to help assess the variables impacting the level of BIM expertise of professionals in the AEC industry in the developing world. After that, a questionnaire survey was carried out to collect data from 103 seasoned professionals in the Ghanaian construction industry. Nonparametric tests, such as the Kruskal–Wallis, pairwise post hoc Dunn, Mann–Whitney, Pearson’s correlation and the partial least squares structural equation modeling (PLS SEM) tests, were adopted to assess the relationships between the level of BIM expertise of professionals (BE) and the following variables: (1) profession (P), (2) the frequency of BIM use by professionals (BF), (3) the highest dimension of BIM adopted by AEC firms and companies (BD), (4) professionals’ perception of BIM (PB) and (5) the BIM implementation barriers (BIMIBs). P, BF, BD and PB were found to have a substantial impact on the level of BIM expertise acquired by professionals. With regards to professionals’ perception of the BIM software and process, only one (PB3–BIM is not useful to our company at the moment) out of ten of them was found to have a significant impact on BE, highlighting the impact of employers on the level of BIM expertise of professionals. In addition, the study discovered that any resolution made in an attempt to tackle the lack of/insufficient level of BIM expertise among professionals would prove futile without significant effort from the higher education sector (HES) of the developing world and the entire world at large. The study’s conceptual, empirical, managerial and theoretical implications and findings would serve as a roadmap for researchers, professionals and academics in developing nations as they endeavor to seek more ways of increasing BIM expertise among their professionals and to encourage BIM usage throughout the project lifecycle.
Kante M., Ndayizigamiye P.
2022-12-01 citations by CoLab: 1 Abstract
Many developing countries have put in place interventions to help small-scale farmers to increase their agricultural productivity. Some of these interventions include the use of Information and Communication Technology tools by extension services to disseminate agricultural input information. However, to date, there is still a limited understanding of the agricultural information needs and seeking behavior of these farmers. Such understanding is needed in order to devise adequate ICT-driven interventions that are in sync with the information needs and seeking behavior of the farmers. Hence, this study investigated farmer’s agricultural input information needs and their information-seeking behavior in the context of Mali. The study adopted the Information-Seeking Task framework as the guiding theoretical lens. Data, gathered from 100 respondents, were analyzed using the Partial Least Square Structural Equation Modeling. The results revealed that there are five farmer’s agricultural input information needs, namely calendar planning; planting; water, fertilizer, and pest management, and input provision. Furthermore, the findings showed that farmers seeking agricultural input information formally, that is, through mobile phone satisfied their information needs more than those seeking it informally through their peers. The findings suggest that farmer’s extension services should pay more attention to these results when devising their interventions.
Hair J.F., Hult G.T., Ringle C.M., Sarstedt M., Danks N.P., Ray S.
2021-11-03 citations by CoLab: 2364
Dion K., Bodnaruc A.M., Trudel G., Lamarche J., Ranger V., Fobert S., Church K.A., Ntumba Mukunzi J., René J.
2021-09-01 citations by CoLab: 1
Cheng X., Hou T., Mou J.
2021-09-01 citations by CoLab: 45 Abstract
This study investigates what affects perceived risks and how the trade-off between perceived risks and benefits affects individuals’ information privacy choices in the context of IT-enabled ride-sharing. Using privacy calculus theory and immediate gratification, we adopt a mixed-methods approach. We use interview data to identify perceived information disclosure risks’ antecedents, and then implement our research model, conducting privacy calculus on data from 507 rideshare users. The results indicate that privacy awareness, previous online privacy invasion, mobile payment security, and negative media exposure influence information disclosure’s perceived risks and that perceived risks and benefits are significantly related to immediate gratification.
Chung K., Chen C., Tsai H., Chuang Y.
2021-06-01 citations by CoLab: 32 Abstract
Artificial intelligence (AI) is widely used in social network as AD Recommender Systems , Viral Marketing, and User Sentiment Detection. However, such things as Fake News and Privacy Leaking may violate privacy and security concerns. AI technology is also often used in social media as the main technology to prevent personal privacy from leaking. This study explored whether social media users will disclose information or further protect privacy when facing information privacy issues. It studied information security awareness and perceived privacy control while affecting privacy concerns and customer calibration related factors, and finds their privacy management and self-disclosure. This study used questionnaire survey method to understand user data and used Structural Equation Modeling (SEM) to analyze the relationship of various dimensions. The results showed that understanding information security awareness and customer alienation through AI technology has a positive impact on consumers’ privacy concerns. Through privacy management, consumers can indeed reduce their doubts about privacy leakage . Customer privacy concerns and customer calibration have positive and significant effects on privacy management and self-disclosure, respectively. This study showed that user trust in the platform will affect the degree of user information disclosure . The industry should focus more on the user’s privacy maintenance and establish a complete protection mechanism.
Page M.J., McKenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., Shamseer L., Tetzlaff J.M., Akl E.A., Brennan S.E., Chou R., Glanville J., Grimshaw J.M., Hróbjartsson A., Lalu M.M., et. al.
2021-03-29 citations by CoLab: 6400 PDF
Fan A., Wu Q., Yan X., Lu X., Ma Y., Xiao X.
2021-01-01 citations by CoLab: 7 Abstract
The disclosure of personal information by users is very important for social media, in order to balance privacy protection and personalized service. This article probes into the factors influencing users’ disclosure intention. Based on the privacy calculus theory and theory of planned behavior, the study constructs an influencing factor model of social media personal information disclosure intention. Then an extensive survey of social media users is conducted through questionnaire, and the hypothetical model is verified using structural equation model, and finally the relationship between various influencing factors and personal information disclosure intentions is obtained. The results show that the perceived benefits and subjective norm are related to personal information disclosure intentions, and privacy view is associated with perceived risk. Finally, the study provides new ideas for social media services and user privacy protection, such as creating a secure social media environment, increasing valuable social services, reducing users’ risk perception and making information processing open and transparent.
Lankton N.K., McKnight D.H., Tripp J.F.
2020-08-01 citations by CoLab: 11 Abstract
Privacy in online social networking (OSN) is more complex than in traditional online environments, such as e-commerce. In addition to simply limiting self-disclosure, OSN users can also use privacy settings and manage their network size to ensure privacy. This complexity calls for an enhanced OSN privacy model that more completely explains privacy behaviors. Combining the privacy calculus model with part of the uses and gratifications approach, this paper proposes an OSN privacy model that depicts both antecedents (i.e., privacy concern, trusting beliefs, and personal interest) and outcomes (i.e., gratifications obtained) of perceived privacy and use behaviors. Using an Empanel survey sample collected from U.S. Facebook users, results show that privacy concern influences network size, trust influences privacy setting use and use frequency, and personal interest influences each privacy and use behavior. Findings also show that the privacy behaviors' influence on gratifications obtained is complex in nature. A three-way interaction influences enjoyment and habit gratifications, and a two-way interaction influences bonding social capital. This paper provides opportunities for future research regarding OSN privacy behaviors, and it discusses practical implications.
Hsieh S.H., Lee C.T.
2020-06-01 citations by CoLab: 12 Abstract
The prevailing adoption of mobile devices has facilitated individuals’ engagement with location tagging; thus, location-based information sharing, which allows geolocation specificity and interaction on the Internet platforms, has become a popular activity in the space of social media. This spatiotemporal information provides a great potential opportunity for marketers as photos or videos shared among friends on social networking sites can be viewed as a type of word-of-mouth that may increase brand awareness and attract more users. Thus, understanding the underlying factors driving location tagging intentions provides significant value for practitioners. However, despite its importance, our understanding of this topic is limited. This research draws from social exchange theory and the theory of impression management to exemplify the underlying factors driving individuals to engage in photo or video sharing with location tagging on social media. Using an online survey, we recruited 402 users. We find that location tagging intention is driven by a facilitating route involving social benefits and functional benefits and an impeding route involving perceived risk related to privacy concerns. Our findings provide important academic and managerial implications.
Lin X., Wang X.
2020-02-01 citations by CoLab: 106 Abstract
Information systems research provides increasing evidence that women and men differ in their use of information technology. However, research has not sufficiently explained why these differences exist. Using the theory of reasoned action and social role theory, this paper investigates gender differences in people’s decisions about information sharing in the context of social networking sites (SNSs). We developed a comparative model of the information-sharing decision process across genders and theoretically explained why these differences exist. Data was collected from an online survey taken by American SNS users. We found that privacy risks, social ties, and commitment were more important in the formation of attitudes toward information sharing for women than men. Gender significantly moderates the relationship between people’s perceptions of information sharing and their intention to share information. This paper provides an enhanced understanding of gender differences in people’s decisions about sharing information on SNSs. It advances gender differences research into the use of newly emerged information technology and provides researchers insightful views of the role that gender plays in the social media era. Being aware of the research findings, practitioners may better engage their targeted stakeholders on SNSs and collect more useful information for business purposes.
Aivazpour Z., Rao V.S.
2020-01-21 citations by CoLab: 25 Abstract
Self-disclosure of personal information is generally accepted as a security risk. Nonetheless, many individuals who are concerned about their privacy will often voluntarily reveal information to others. This inconsistency between individuals' expressed privacy concern and the willingness to divulge personal information is referred to as privacy paradox. Several arguments have been proposed to explain the inconsistency. One set of arguments centers around the possible effects of differences in personality characteristics, such as the Big Five factors. In the current article, we examine the role of one personality characteristic, impulsivity, in explaining the relationship between privacy concern and information disclosure. We report the results of a survey-based study that consisted of two hundred and forty-two (242) usable responses from subjects recruited on Amazon Mechanical Turk. The results show that one of the three dimensions of impulsivity, motor impulsivity, directly influences the extent of information disclosure and also moderates the relationship between privacy concern and information disclosure. Furthermore, our study shows impulsivity explains more variance in information disclosure than explained by the Big Five factors only.
Li K., Cheng L., Teng C.
2020-01-01 citations by CoLab: 63 Abstract
Private information disclosure on social networking sites (SNS) is one of the most important and active issues in the information management arena. The growing phenomenon of platforms requiring users to disclose personal information exposes the limitations of previous studies that only focus on users’ voluntary disclosure. In this study, we define two modes of users’ private information disclosure behavior: voluntary sharing and mandatory provision. Using the Communication Privacy Management theory, we built a framework to explain the impact of individual characteristics, context, motivation, and benefit–risk ratio on the user's willingness to disclose voluntarily or mandatorily. Our research shows that voluntary sharing is more likely to be driven by positive factors, such as perceived benefits, social network size, and personalization, while mandatory provision is affected by individual characteristics such as age, privacy policy, and perceived risks. One of our interesting findings is that perceived risk has less impact on voluntary sharing than previous studies suggested. When encouraging users to share information voluntarily, platforms do not need to pay as much attention to reducing perceived risk as in the mandatory providing mode, but should focus on improving perceived benefits. Being the first to classify and compare the private information disclosure modes of SNS users, our research enriches the existing literature and opens up new avenues for researchers and social networking platforms.
Kante M., Oboko R., Chepken C.
2019-03-01 citations by CoLab: 31 Abstract
Information and Communication Technologies (ICT) play a key role in the dissemination of information on farm inputs for their increased adoption. Small-scale cereal farmers have been exposed to ICT-based farm input information in developing countries. However, an underuse of these ICTs services has led to an insignificant adoption of farm input information. That underuse was due to certain factors. The purpose of this study was to propose an ICT model for increased adoption of farm input information by establishing these factors and their relationships. A convenient sample of 300 small-scale cereal farmers was selected in Sikasso, Mali to gather data. The partial least squares structural equation modelling technique was used to assess the model that was being proposed. We used the technique to establish the measurement model validity and to assess the structural model (hypotheses). The result suggested that the model was highly predictive of the Use of ICT-based farm input information (80.7%). In addition, use of these ICT-based farm input information was also highly predictive (68.4%) of the Increased Adoption of farm input information by small-scale cereal farmers in developing countries.
Adaba G.B., Ayoung D.A., Abbott P.
This study considered the impact of mobile money on well‐being and development from a capability perspective using data from the Upper East Region of Northern Ghana. The evidence suggests varied capability enhancing benefits of mobile money use, ranging from empowerment to participate in the financial system, to choice, and agency to meet various functionings that contribute to better well‐being outcomes in employment, health, and education. Erratic power supply and a poor network signal in some communities are unfreedoms that need removing for people to take advantage of the huge well‐being and human development potential of mobile money. The long‐term dependency on family and social networks for monetary support is a capability diminishing feature of mobile money. The study findings support the necessity to adopt a multifaceted and pragmatic conceptualisation of development in information and communication technology for development research.
Total publications
8
Total citations
8
Citations per publication
1
Average publications per year
2
Average coauthors
0.25
Publications years
2020-2023 (4 years)
h-index
2
i10-index
0
m-index
0.5
o-index
3
g-index
2
w-index
0
Metrics description

Top-100

Fields of science

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Computer Science Applications, 1, 12.5%
General Medicine, 1, 12.5%
Artificial Intelligence, 1, 12.5%
Human-Computer Interaction, 1, 12.5%
Cognitive Neuroscience, 1, 12.5%
Neuroscience (miscellaneous), 1, 12.5%
Applied Psychology, 1, 12.5%
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Citing journals

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Publishers

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Organizations from articles

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Organization not defined, 7, 87.5%
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Countries from articles

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Country not defined, 5, 62.5%
Côte d'Ivoire, 3, 37.5%
Mali, 1, 12.5%
South Africa, 1, 12.5%
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Citing organizations

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Organization not defined, 3, 37.5%
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Citing countries

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Country not defined, 2, 25%
China, 2, 25%
Indonesia, 2, 25%
South Africa, 2, 25%
United Kingdom, 1, 12.5%
Ghana, 1, 12.5%
India, 1, 12.5%
Spain, 1, 12.5%
Qatar, 1, 12.5%
Malaysia, 1, 12.5%
Uzbekistan, 1, 12.5%
Philippines, 1, 12.5%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
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