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on Information and Communication Technologies |
| By: | Koenraadt, Jeroen; Martens, Tim; Sextroh, Christoph |
| Abstract: | We study the role of non-traditional investment research as a source of information for managerial learning and corporate investment decisions. Using a comprehensive sample of social media analyst reports from Seeking Alpha and exogenous variation in social media analysts' coverage overlaps, we show that firms are more likely to invest into technologies similar to firms covered by the same analyst. The effect is incremental to coverage by professional sell-side analysts and varies with social media analysts' characteristics and differences in their contributed content that capture their unique information set. Overall, our results are consistent with non-traditional investment research enhancing firms' information environment as an additional source of information that may guide corporate investment decisions. |
| Keywords: | social media analyst; seeking alpha; information intermediaries; managerial learning; information spillover; corporate innovation; patents |
| JEL: | J50 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:ehl:lserod:124417 |
| By: | Pierre Nguimkeu; Cedric I Okou |
| Abstract: | This paper analyzes the drivers of digital technologies adoption and how it affects the productivity of small scale businesses in Africa. We use data collected from two semi-rural markets in Benin, where grains and legumes are key staple foods and one-third of the population has internet access. We develop a structural model to rationalize digital technologies adoption—defined as the use of mobile broadband internet connection through smartphones—as well as usage patterns and outcomes observed in the data. The model’s implications are empirically tested using both reduced-form and structural maximum likelihood estimations. We find that younger, wealthier, more educated grains and legumes suppliers and those closely surrounded by other users are more likely to adopt digital technologies. Adopters perform 4-5 more business transactions each month than non-adopters on average, suggesting that digital technologies adoption could raise the monthly frequency and amounts of trades by up to 50%. Most adopters are women, but their productivity gains are lower than their male counterparts. Counterfactual policy simulations with the estimated model suggest that upgrading the broadband internet quality yields the largest improvement in adoption rate and productivity gains, while reducing its cost for a given connection quality only has a moderate effect. Improving access to credit only increases the adoption rate of constrained suppliers. |
| Keywords: | Digital Technology Adoption; Food Supply; Counterfactual Analysis |
| Date: | 2024–07–26 |
| URL: | https://d.repec.org/n?u=RePEc:imf:imfwpa:2024/163 |
| By: | Ozili, Peterson K |
| Abstract: | This article presents a concise review of the existing financial inclusion research in India. We use a thematic literature review methodology. We show that the Reserve Bank of India (RBI) has been at the forefront of financial inclusion in India and has used collaborative efforts to deepen financial inclusion in India. The review of existing literature shows that the major determinants of financial inclusion in India are income, age, gender, education, employment, ICT, bank branch network and nearness to a bank. The common theories used to analyse financial inclusion in India are the finance-growth theory, the diffusion of innovations theory, development economics and modernization theory, the vulnerable group theory of financial inclusion and the dissatisfaction theory of financial inclusion. The common methodologies used in the literature are surveys, questionnaires, financial inclusion index, regression estimations and causality tests. Existing studies also show that financial inclusion in India affects the level of poverty, human development, financial stability, monetary policy, and income level. Some criticisms of the financial inclusion efforts in India include the inability to meet the specific needs of the poor, poor geographical access, excessive transaction cost, inappropriate banking products, financial illiteracy and a large digital divide between tech savvy and non-tech savvy people. We also suggest some areas for future research. |
| Keywords: | ICT, Internet, financial inclusion, literature review, access to finance, causality tests, regression, India, index, theory. |
| JEL: | G20 G21 O31 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:121526 |
| By: | Hafsa Lemsieh (UH2MC - Université Hassan II [Casablanca]); Ibtissam Abarar |
| Abstract: | In that emerging digital era, Artificial Intelligence technology headed by machine learning, digital-smart technologies as well as the Big Data that allows predictive analysis has a significant influence over many people precisely those who are not all conscious and aware that the datasets are assembled from their online interactions and activities, consequently it can be used to anticipate and manipulate their purchasing psychology and behavior out of their control. In these terms, this study is going to present the literature that is in relation basically with the approach to the contribution of the artificial intelligence technology in manipulating the purchasing behavior based on the psychological factor. To guide this in deep study we will include multiple sources of the secondary data, going from journal articles, conference papers, internet sources and so on. The main objective is to bridge and eliminate the gap in this somehow empty field of research. The theoretical conclusions will offer an insight about the main importance in terms of implementing the artificial intelligence tools in the field and the department of marketing as a successful way to understand the consumers preferences and their journey in terms of purchasing. The goal is to provide predictive analysis and to know precisely how to manipulate the psychology of consumers in order to influence their behavior. The generation Z are a real opportunity to achieve this aim since they are digitally native and most of their purchasing decisions occurs through the use of their smartphones as they rely on social media for collecting and gathering any kind of information |
| Keywords: | Artificial intelligence, Consumer behaviour, Digital Marketing, Manipulation, Psychology., Artificial intelligence Consumer behaviour Digital Marketing Manipulation Psychology. JEL Classification: M31 M15 D91 Type du papier: Theoretical Research, Psychology. JEL Classification: M31, M15, D91 Type du papier: Theoretical Research |
| Date: | 2024–06–23 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04629533 |
| By: | Jacek Pawlak; John Polak |
| Abstract: | Time sharing between activities remains an indispensable part of everyday activity pattern. However, the issue has not yet been fully acknowledged within the existing time allocation models, potentially resulting in inaccuracies in valuing travel time savings. Therefore this study is aimed at addressing this gap by investigating the potential impact of introducing time sharing within such a framework, as well as factors determining it as represented by travel activities. In doing so, time constraint in the time allocation model of Small was modified to enable sharing the same time interval between different activities. The resulting expression indicated that such an augmentation could lead to lower estimates of value of time as a resource. On the other hand, empirical research based on the data from the National Passenger Survey 2004 used for calibrating cross-nested logit model indicated a number of factors affecting the choice of travel activities. It was discovered that significant include possession of equipment allowing particular activities, e.g. newspaper, paperwork or ICT devices, companionship, gender, length of the journey, frequency of using the service, possibility of working on the train, journey planning in advance, first class travel, termination of the trip in central London, peak-time travel and availability of seating. |
| Date: | 2024–07 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2407.08312 |