Researches

  • Researches
Artificial Intelligence

AI, Big Data, and Value Co-Creation: A Conceptual Model

Published in: https://www.springer.com/series/7092.

Oct 31, 2020

/ Kholoud AlQeisi / Shorouq F. Eletter

The development of Artificial Intelligence (AI) and big data technologies in the ecosystem has reshaped the concept of value co-creation. Still, there is a need to renovate this concept from a digital perspective. This study conceptualizes the dynamic relationships between AI, big data, and value co-creation. The conceptual framework in this study adopts the S-D logic to connect the two players (customer as creator and firm as a user) of big data. This framework elucidates that big data is a c...


Article Full-text Available

Government and private sectors electronic transfer practices and financial inclusion in the economic community of the West African States

Published in: Interdisciplinary Working Papers

Oct 04, 2020

/ Ibrahim Niankara

Relying on a pooled-cross-sectional panel of the 2014 and 2017 Global Findex data, and a Random Utility Theoretic Model for revealed financial preferences data analysis, this paper examines the impact of government and private sector electronic transfer practices on financial inclusion, in terms of individuals’ ability to save and borrow within the Economic Community of the West African States (ECOWAS). For sensitivity analysis, we adopt a sequential empirical strategy in which we estimate and ...


Artificial Intelligence Full-text Available

Pooled cross-sectional panel of the 2015-2018 PISA student questionnaire data files for the evaluation of youth related strategies implemented under the UN 2030 Agenda for sustainable development

Published in: Data Article

Oct 04, 2020

ibrahim niankara

This data article is a follow up to the cross-national data on the environmental affection and cognition of adolescent students of varying levels of interest in ecosystem services and sustainability [1]. The data is being provided as a pooled cross-sectional panel of the 2015 [2] and 2018 [3] publicly released student questionnaire data files from the Programme for International Student assessment (PISA). The 2015 cross-section was used in the studies “Interest in the biosphere and students’ en...


Artificial Intelligence Full-text Available

Data for the Regional and Provincial Analyses of Households’ Economic Well-Being in Burkina Faso.

Published in: Data Article

Oct 04, 2020

Although household and business surveys generally collect regional codes, indicators are usually not tabulated by that dimension in international comparisons [13], as a result information on the extent of regional disparities or dispersion within countries is often unavailable [11]. This is why a call was made for collaboration between international organizations and G20 countries and partner countries to make regional data available, by advancing on methods to make microdata more accessible fo...


Article

DOES PROFIT SHARING ENHANCE PRODUCTIVITY: EVIDENCE FROM THE RETAIL FOOD INDUSTRY IN CANADA

Published in: Int. J. Business Excellence

Oct 02, 2020

/ Mahmoud Askari / Ghaleb El Refae

In this paper, we provide further support for using profit sharing to enhance productivity and profitability from the retail food industry in Canada. The overall Gross Profit Percentage (GP%) of a retail store was used as a measure of productivity and profitability for the store. In addition, and as another measure of productivity, the study compared the performance of one of the most sensitive departments in a food retail store, and that is the GP% of the Produce department. Results show th...


Article

Managing asymmetric information effects in decision making: Task complexity-based model

Published in: International Journal of Quality Engineering and Technology

Oct 01, 2020

/ Belkacem Athamena / zina houhamdi / Ghaleb El Refae

This paper proposes a formal model to manage the impact of asymmetric information in decision-making by using principal-agent problems in which an agent (who has incomplete information) must decide to perform or not perform a task on behalf of the principal. After performing a complex (simple) task, the agent underrates (overrates) his competence. As a consequence of underestimation, a competent agent may decide to stop performing the task henceforth. The agent infers his competence from his pr...


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